Datasets:

GHOFRANEE
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Dataset_ocr_to_json

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Split (2)

train · 2.14k rows

instruction stringclasses 1 value	input stringlengths 586 18k	output stringlengths 161 5.19k
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [801.0, 110.0], [801.0, 161.0], [196.0, 161.0]], ('Invoice no: 55236311', 0.9993157386779785)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9944581985473633)], [[[1207.0, 216.0], [1466.0, 216.0], [1466.0, 256.0], [1207.0, 256.0]], ('10/21/2017', 0.9998247027397156)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1235.0, 649.0], [1430.0, 659.0], [1427.0, 724.0], [1232.0, 715.0]], ('Client:', 0.999538242816925)], [[[1245.0, 749.0], [1540.0, 757.0], [1538.0, 812.0], [1244.0, 803.0]], ('Ward-Lindsey', 0.9295771718025208)], [[[210.0, 760.0], [369.0, 760.0], [369.0, 800.0], [210.0, 800.0]], ('Hill PLC', 0.9804084300994873)], [[[203.0, 807.0], [764.0, 811.0], [764.0, 863.0], [203.0, 859.0]], ('6031 Lynn Walks Apt. 242', 0.997565746307373)], [[[1244.0, 807.0], [1946.0, 811.0], [1946.0, 862.0], [1244.0, 859.0]], ('1556 Davenport Greens Apt. 902', 0.9992416501045227)], [[[210.0, 866.0], [690.0, 866.0], [690.0, 914.0], [210.0, 914.0]], ('West Carlos, TX 58783', 0.9995797276496887)], [[[1244.0, 866.0], [1754.0, 866.0], [1754.0, 914.0], [1244.0, 914.0]], ('North Steven, TX 74063', 0.9997475147247314)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 925-86-4526', 0.9912411570549011)], [[[1248.0, 972.0], [1680.0, 972.0], [1680.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 919-75-1778', 0.9895035624504089)], [[[207.0, 1020.0], [934.0, 1020.0], [934.0, 1067.0], [207.0, 1067.0]], ('IBAN: GB43XGPY43263353953673', 0.9976321458816528)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1344.0, 1261.0], [1532.0, 1261.0], [1532.0, 1312.0], [1344.0, 1312.0]], ('Net price', 0.9999423623085022)], [[[1837.0, 1256.0], [2006.0, 1265.0], [2003.0, 1316.0], [1834.0, 1307.0]], ('VAT [%]', 0.999139666557312)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[355.0, 1392.0], [746.0, 1396.0], [745.0, 1444.0], [354.0, 1440.0]], ('Nightmares in the Sky:', 0.998630166053772)], [[[1440.0, 1389.0], [1532.0, 1389.0], [1532.0, 1443.0], [1440.0, 1443.0]], ('7,50', 0.9996273517608643)], [[[1672.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1672.0, 1443.0]], ('37,50', 0.9993659853935242)], [[[1909.0, 1383.0], [2007.0, 1394.0], [2000.0, 1449.0], [1903.0, 1438.0]], ('10%', 0.9999048113822937)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('5,00', 0.9872055053710938)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[2149.0, 1392.0], [2259.0, 1392.0], [2259.0, 1443.0], [2149.0, 1443.0]], ('41,25', 0.9995063543319702)], [[[251.0, 1403.0], [284.0, 1403.0], [284.0, 1432.0], [251.0, 1432.0]], ('1.', 0.9957729578018188)], [[[358.0, 1443.0], [805.0, 1443.0], [805.0, 1480.0], [358.0, 1480.0]], ('Gargoyles and Grotesques', 0.9901173710823059)], [[[354.0, 1524.0], [809.0, 1524.0], [809.0, 1571.0], [354.0, 1571.0]], ('Spectacular Ireland Coffee', 0.9986776113510132)], [[[1001.0, 1520.0], [1097.0, 1520.0], [1097.0, 1575.0], [1001.0, 1575.0]], ('1,00', 0.9992274045944214)], [[[1421.0, 1515.0], [1534.0, 1525.0], [1529.0, 1580.0], [1416.0, 1570.0]], ('10,00', 0.9995405077934265)], [[[1672.0, 1515.0], [1788.0, 1525.0], [1784.0, 1580.0], [1667.0, 1570.0]], ('10,00', 0.9996253848075867)], [[[1909.0, 1515.0], [2007.0, 1526.0], [2001.0, 1577.0], [1903.0, 1566.0]], ('10%', 0.9999029040336609)], [[[2144.0, 1515.0], [2257.0, 1525.0], [2253.0, 1576.0], [2140.0, 1566.0]], ('11,00', 0.9988458752632141)], [[[1152.0, 1527.0], [1244.0, 1527.0], [1244.0, 1571.0], [1152.0, 1571.0]], ('each', 0.9990001320838928)], [[[359.0, 1564.0], [761.0, 1572.0], [760.0, 1612.0], [358.0, 1604.0]], ('Table Book - very large', 0.9781705737113953)], [[[351.0, 1652.0], [790.0, 1655.0], [790.0, 1703.0], [351.0, 1699.0]], (' Midnight Sun(Twilight) by', 0.9842848181724548)], [[[1008.0, 1659.0], [1097.0, 1659.0], [1097.0, 1703.0], [1008.0, 1703.0]], ('3,00', 0.9823727607727051)], [[[1152.0, 1659.0], [1244.0, 1659.0], [1244.0, 1703.0], [1152.0, 1703.0]], ('each', 0.9979826211929321)], [[[1418.0, 1655.0], [1532.0, 1655.0], [1532.0, 1706.0], [1418.0, 1706.0]], ('24,99', 0.9997154474258423)], [[[1680.0, 1659.0], [1783.0, 1659.0], [1783.0, 1706.0], [1680.0, 1706.0]], ('74,97', 0.9996854662895203)], [[[1916.0, 1659.0], [2001.0, 1659.0], [2001.0, 1703.0], [1916.0, 1703.0]], ('10%', 0.999697744846344)], [[[2152.0, 1659.0], [2256.0, 1659.0], [2256.0, 1706.0], [2152.0, 1706.0]], ('82,47', 0.9992801547050476)], [[[258.0, 1670.0], [284.0, 1670.0], [284.0, 1696.0], [258.0, 1696.0]], ('3.', 0.9914696216583252)], [[[354.0, 1696.0], [893.0, 1696.0], [893.0, 1743.0], [354.0, 1743.0]], ('Stephenie Meyer \| Hardback UK', 0.9787342548370361)], [[[358.0, 1743.0], [480.0, 1743.0], [480.0, 1783.0], [358.0, 1783.0]], ('Edition', 0.9992309808731079)], [[[1440.0, 1823.0], [1532.0, 1823.0], [1532.0, 1878.0], [1440.0, 1878.0]], ('4,49', 0.9984767436981201)], [[[1695.0, 1818.0], [1789.0, 1829.0], [1782.0, 1884.0], [1689.0, 1873.0]], ('4,49', 0.9952390193939209)], [[[1913.0, 1814.0], [2007.0, 1825.0], [2000.0, 1880.0], [1907.0, 1869.0]], ('10%', 0.9998582005500793)], [[[354.0, 1827.0], [886.0, 1827.0], [886.0, 1875.0], [354.0, 1875.0]], ('The Fifty Greatest Conspiracies', 0.9909566640853882)], [[[1008.0, 1827.0], [1093.0, 1827.0], [1093.0, 1871.0], [1008.0, 1871.0]], ('1,00', 0.999497652053833)], [[[1152.0, 1831.0], [1244.0, 1831.0], [1244.0, 1875.0], [1152.0, 1875.0]], ('each', 0.999234139919281)], [[[2171.0, 1827.0], [2256.0, 1827.0], [2256.0, 1871.0], [2171.0, 1871.0]], ('4,94', 0.9992599487304688)], [[[354.0, 1871.0], [838.0, 1871.0], [838.0, 1918.0], [354.0, 1918.0]], ('of All Time History s Biggest', 0.9887551665306091)], [[[354.0, 1918.0], [476.0, 1918.0], [476.0, 1959.0], [354.0, 1959.0]], ('Myster', 0.9992254376411438)], [[[192.0, 2054.0], [491.0, 2054.0], [491.0, 2105.0], [192.0, 2105.0]], ('SUMMARY', 0.9960786700248718)], [[[956.0, 2174.0], [1122.0, 2174.0], [1122.0, 2225.0], [956.0, 2225.0]], ('VAT [%]', 0.9993820786476135)], [[[1776.0, 2165.0], [1874.0, 2176.0], [1868.0, 2231.0], [1770.0, 2220.0]], ('VAT', 0.9770669937133789)], [[[1388.0, 2178.0], [1588.0, 2178.0], [1588.0, 2218.0], [1388.0, 2218.0]], ('Net worth', 0.9842570424079895)], [[[2023.0, 2178.0], [2252.0, 2178.0], [2252.0, 2214.0], [2023.0, 2214.0]], ('Gross worth', 0.994671642780304)], [[[994.0, 2253.0], [1087.0, 2264.0], [1081.0, 2318.0], [988.0, 2307.0]], ('10%', 0.999870777130127)], [[[1458.0, 2266.0], [1591.0, 2266.0], [1591.0, 2317.0], [1458.0, 2317.0]], ('126,96', 0.9996903538703918)], [[[1757.0, 2262.0], [1868.0, 2262.0], [1868.0, 2313.0], [1757.0, 2313.0]], ('12,70', 0.999809741973877)], [[[2134.0, 2262.0], [2267.0, 2262.0], [2267.0, 2313.0], [2134.0, 2313.0]], ('139,66', 0.9996400475502014)], [[[746.0, 2353.0], [857.0, 2353.0], [857.0, 2404.0], [746.0, 2404.0]], ('Total', 0.9998736381530762)], [[[1410.0, 2353.0], [1591.0, 2353.0], [1591.0, 2404.0], [1410.0, 2404.0]], ('$ 126,96', 0.9923533201217651)], [[[1713.0, 2353.0], [1864.0, 2353.0], [1864.0, 2404.0], [1713.0, 2404.0]], ('$12,70', 0.9999015927314758)], [[[2082.0, 2353.0], [2263.0, 2353.0], [2263.0, 2404.0], [2082.0, 2404.0]], ('$139,66', 0.9986727833747864)]]	{'header': {'invoice_no': '55236311', 'invoice_date': '10/21/2017', 'seller': 'Hill PLC 6031 Lynn Walks Apt. 242 West Carlos, TX 58783', 'client': 'Ward-Lindsey 1556 Davenport Greens Apt. 902 North Steven, TX 74063', 'seller_tax_id': '925-86-4526', 'client_tax_id': '919-75-1778', 'iban': 'GB43XGPY43263263353953673'}, 'items': [{'item_desc': 'Nightmares in the Sky: Gargoyles and Grotesques', 'item_qty': '5,00', 'item_net_price': '7,50', 'item_net_worth': '37,50', 'item_vat': '10%', 'item_gross_worth': '41,25'}, {'item_desc': 'Spectacular Ireland Coffee Table Book - very large', 'item_qty': '1,00', 'item_net_price': '10,00', 'item_net_worth': '10,00', 'item_vat': '10%', 'item_gross_worth': '11,00'}, {'item_desc': 'Midnight Sun(Twilight) by Stephenie Meyer I Hardback UK Edition', 'item_qty': '3,00', 'item_net_price': '24,99', 'item_net_worth': '74,97', 'item_vat': '10%', 'item_gross_worth': '82,47'}, {'item_desc': 'The Fifty Greatest Conspiracies of All Time History S Biggest Myster', 'item_qty': '1,00', 'item_net_price': '4,49', 'item_net_worth': '4,49', 'item_vat': '10%', 'item_gross_worth': '4,94'}], 'summary': {'total_net_worth': '$ 126,96', 'total_vat': '$ 12,70', 'total_gross_worth': '$ 139,66'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[199.0, 110.0], [801.0, 110.0], [801.0, 161.0], [199.0, 161.0]], ('Invoice no: 37535203', 0.9993732571601868)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9990058541297913)], [[[1200.0, 216.0], [1462.0, 216.0], [1462.0, 256.0], [1200.0, 256.0]], ('07/13/2015', 0.9997749328613281)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1239.0, 653.0], [1426.0, 662.0], [1423.0, 724.0], [1236.0, 715.0]], ('Client:', 0.9993823170661926)], [[[210.0, 756.0], [509.0, 756.0], [509.0, 808.0], [210.0, 808.0]], ('Garcia-Burton', 0.9995712637901306)], [[[1248.0, 760.0], [1591.0, 760.0], [1591.0, 808.0], [1248.0, 808.0]], ('Miranda-Nielsen', 0.9982559680938721)], [[[203.0, 807.0], [565.0, 811.0], [565.0, 863.0], [203.0, 859.0]], ('0340 Moran Port', 0.9990126490592957)], [[[1244.0, 807.0], [1957.0, 811.0], [1957.0, 862.0], [1244.0, 859.0]], ('8668 Rangel Stravenue Suite 392', 0.9979873895645142)], [[[210.0, 866.0], [746.0, 866.0], [746.0, 914.0], [210.0, 914.0]], ('Pattonborough, WI 65859', 0.9893539547920227)], [[[1248.0, 866.0], [1732.0, 866.0], [1732.0, 914.0], [1248.0, 914.0]], ('Port Kristen, SD 88510', 0.9984519481658936)], [[[207.0, 972.0], [635.0, 972.0], [635.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 916-83-8601', 0.9947493672370911)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 989-84-4547', 0.9925715923309326)], [[[207.0, 1023.0], [930.0, 1023.0], [930.0, 1071.0], [207.0, 1071.0]], ('IBAN: GB30ICAO43176037560423', 0.9885206818580627)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1342.0, 1256.0], [1533.0, 1265.0], [1531.0, 1316.0], [1339.0, 1307.0]], ('Net price', 0.9996834993362427)], [[[1837.0, 1256.0], [2006.0, 1265.0], [2003.0, 1316.0], [1834.0, 1307.0]], ('VAT [%]', 0.999139666557312)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1440.0, 1383.0], [1538.0, 1394.0], [1532.0, 1449.0], [1434.0, 1438.0]], ('4,49', 0.996829628944397)], [[[1676.0, 1384.0], [1788.0, 1394.0], [1783.0, 1448.0], [1671.0, 1438.0]], ('13,47', 0.9993319511413574)], [[[1909.0, 1383.0], [2007.0, 1394.0], [2000.0, 1449.0], [1903.0, 1438.0]], ('10%', 0.9999048113822937)], [[[251.0, 1400.0], [288.0, 1400.0], [288.0, 1436.0], [251.0, 1436.0]], ('1.', 0.9996507167816162)], [[[358.0, 1400.0], [797.0, 1400.0], [797.0, 1436.0], [358.0, 1436.0]], ('Q&A a Day:5-Year Journal', 0.9550848603248596)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('3,00', 0.984684944152832)], [[[1148.0, 1396.0], [1252.0, 1396.0], [1252.0, 1443.0], [1148.0, 1443.0]], ('each', 0.9876470565795898)], [[[2145.0, 1392.0], [2256.0, 1392.0], [2256.0, 1443.0], [2145.0, 1443.0]], ('14,82', 0.9997960329055786)], [[[1421.0, 1480.0], [1532.0, 1480.0], [1532.0, 1531.0], [1421.0, 1531.0]], ('64,95', 0.9998289346694946)], [[[1653.0, 1471.0], [1784.0, 1481.0], [1780.0, 1536.0], [1649.0, 1526.0]], ('324,75', 0.9993003010749817)], [[[1909.0, 1471.0], [2007.0, 1482.0], [2000.0, 1536.0], [1903.0, 1526.0]], ('10%', 0.9999292492866516)], [[[251.0, 1487.0], [288.0, 1487.0], [288.0, 1524.0], [251.0, 1524.0]], ('2.', 0.9992785453796387)], [[[358.0, 1487.0], [905.0, 1487.0], [905.0, 1524.0], [358.0, 1524.0]], ("Poor Charlie's Almanack The Wit", 0.9888904690742493)], [[[1004.0, 1484.0], [1097.0, 1484.0], [1097.0, 1527.0], [1004.0, 1527.0]], ('5,00', 0.9940791726112366)], [[[1148.0, 1487.0], [1244.0, 1487.0], [1244.0, 1531.0], [1148.0, 1531.0]], ('each', 0.9809339642524719)], [[[2127.0, 1484.0], [2256.0, 1484.0], [2256.0, 1535.0], [2127.0, 1535.0]], ('357,23', 0.996912956237793)], [[[358.0, 1531.0], [779.0, 1531.0], [779.0, 1568.0], [358.0, 1568.0]], ('and Wisdom of Charles T', 0.9734411835670471)], [[[358.0, 1571.0], [838.0, 1571.0], [838.0, 1608.0], [358.0, 1608.0]], ('Munger 3rd Ed. BRAND NEW', 0.955110490322113)], [[[1441.0, 1646.0], [1534.0, 1657.0], [1528.0, 1712.0], [1434.0, 1701.0]], ('4,41', 0.9981001019477844)], [[[251.0, 1663.0], [288.0, 1663.0], [288.0, 1696.0], [251.0, 1696.0]], ('3.', 0.996047854423523)], [[[358.0, 1663.0], [853.0, 1663.0], [853.0, 1699.0], [358.0, 1699.0]], ('Against All Odds : The Untold', 0.9849861264228821)], [[[1004.0, 1659.0], [1097.0, 1659.0], [1097.0, 1703.0], [1004.0, 1703.0]], ('5,00', 0.9869786500930786)], [[[1148.0, 1659.0], [1244.0, 1659.0], [1244.0, 1703.0], [1148.0, 1703.0]], ('each', 0.9921557903289795)], [[[1672.0, 1655.0], [1783.0, 1655.0], [1783.0, 1706.0], [1672.0, 1706.0]], ('22,05', 0.9996329545974731)], [[[1912.0, 1659.0], [2001.0, 1659.0], [2001.0, 1703.0], [1912.0, 1703.0]], ('10%', 0.9971013069152832)], [[[2145.0, 1655.0], [2256.0, 1655.0], [2256.0, 1706.0], [2145.0, 1706.0]], ('24,26', 0.9995896220207214)], [[[351.0, 1692.0], [801.0, 1699.0], [801.0, 1747.0], [350.0, 1739.0]], ("Story of Canada's Unlikely", 0.9840621948242188)], [[[355.0, 1739.0], [617.0, 1743.0], [616.0, 1783.0], [354.0, 1779.0]], ('Hockey Heroes', 0.9996494054794312)], [[[354.0, 1827.0], [838.0, 1827.0], [838.0, 1875.0], [354.0, 1875.0]], ('Enough By Helen Roseveare.', 0.9795116782188416)], [[[1001.0, 1823.0], [1097.0, 1823.0], [1097.0, 1878.0], [1001.0, 1878.0]], ('3,00', 0.9951714277267456)], [[[1152.0, 1831.0], [1244.0, 1831.0], [1244.0, 1875.0], [1152.0, 1875.0]], ('each', 0.999234139919281)], [[[1440.0, 1823.0], [1536.0, 1823.0], [1536.0, 1878.0], [1440.0, 1878.0]], ('8,86', 0.9983611106872559)], [[[1672.0, 1823.0], [1787.0, 1823.0], [1787.0, 1875.0], [1672.0, 1875.0]], ('26,58', 0.9995831251144409)], [[[1912.0, 1823.0], [2005.0, 1823.0], [2005.0, 1878.0], [1912.0, 1878.0]], ('10%', 0.9999478459358215)], [[[2145.0, 1823.0], [2256.0, 1823.0], [2256.0, 1875.0], [2145.0, 1875.0]], ('29,24', 0.9993093609809875)], [[[251.0, 1834.0], [284.0, 1834.0], [284.0, 1867.0], [251.0, 1867.0]], ('4.', 0.9899671673774719)], [[[354.0, 1911.0], [713.0, 1911.0], [713.0, 1959.0], [354.0, 1959.0]], ('WaterfowI Illustrated', 0.9450473785400391)], [[[1001.0, 1902.0], [1098.0, 1913.0], [1092.0, 1968.0], [995.0, 1957.0]], ('4,00', 0.9974899291992188)], [[[1440.0, 1911.0], [1532.0, 1911.0], [1532.0, 1966.0], [1440.0, 1966.0]], ('5,80', 0.9972056746482849)], [[[1672.0, 1903.0], [1788.0, 1913.0], [1784.0, 1967.0], [1667.0, 1957.0]], ('23,20', 0.996665358543396)], [[[251.0, 1918.0], [284.0, 1918.0], [284.0, 1959.0], [251.0, 1959.0]], ('5.', 0.9942083358764648)], [[[1152.0, 1918.0], [1248.0, 1918.0], [1248.0, 1962.0], [1152.0, 1962.0]], ('each', 0.9979817867279053)], [[[1912.0, 1911.0], [2005.0, 1911.0], [2005.0, 1966.0], [1912.0, 1966.0]], ('10%', 0.9999334216117859)], [[[2145.0, 1911.0], [2256.0, 1911.0], [2256.0, 1966.0], [2145.0, 1966.0]], ('25,52', 0.9996466636657715)], [[[356.0, 1995.0], [573.0, 2003.0], [571.0, 2054.0], [354.0, 2046.0]], ('The Messiah', 0.9991309642791748)], [[[251.0, 2010.0], [284.0, 2010.0], [284.0, 2046.0], [251.0, 2046.0]], ('6.', 0.9941061735153198)], [[[1004.0, 2006.0], [1093.0, 2006.0], [1093.0, 2050.0], [1004.0, 2050.0]], ('5,00', 0.9992848634719849)], [[[1152.0, 2006.0], [1244.0, 2006.0], [1244.0, 2050.0], [1152.0, 2050.0]], ('each', 0.9988812208175659)], [[[1444.0, 2006.0], [1528.0, 2006.0], [1528.0, 2050.0], [1444.0, 2050.0]], ('4,49', 0.9987453818321228)], [[[1672.0, 2002.0], [1783.0, 2002.0], [1783.0, 2054.0], [1672.0, 2054.0]], ('22,45', 0.9982428550720215)], [[[1912.0, 2006.0], [2001.0, 2006.0], [2001.0, 2050.0], [1912.0, 2050.0]], ('10%', 0.9990071654319763)], [[[2145.0, 2002.0], [2259.0, 2002.0], [2259.0, 2054.0], [2145.0, 2054.0]], ('24,70', 0.9996954798698425)], [[[196.0, 2149.0], [491.0, 2149.0], [491.0, 2196.0], [196.0, 2196.0]], ('SUMMARY', 0.9950632452964783)], [[[956.0, 2269.0], [1122.0, 2269.0], [1122.0, 2320.0], [956.0, 2320.0]], ('VAT [%]', 0.9994369149208069)], [[[1772.0, 2260.0], [1874.0, 2271.0], [1868.0, 2326.0], [1767.0, 2315.0]], ('VAT', 0.957456111907959)], [[[1388.0, 2273.0], [1588.0, 2273.0], [1588.0, 2313.0], [1388.0, 2313.0]], ('Net worth', 0.9613118767738342)], [[[2023.0, 2273.0], [2256.0, 2273.0], [2256.0, 2309.0], [2023.0, 2309.0]], ('Gross worth', 0.9965915679931641)], [[[994.0, 2348.0], [1087.0, 2359.0], [1081.0, 2413.0], [988.0, 2402.0]], ('10%', 0.9999032020568848)], [[[1458.0, 2357.0], [1591.0, 2357.0], [1591.0, 2408.0], [1458.0, 2408.0]], ('432,50', 0.9994612336158752)], [[[1757.0, 2357.0], [1868.0, 2357.0], [1868.0, 2408.0], [1757.0, 2408.0]], ('43,25', 0.9992727041244507)], [[[2134.0, 2357.0], [2263.0, 2357.0], [2263.0, 2408.0], [2134.0, 2408.0]], ('475,75', 0.9986355304718018)], [[[745.0, 2440.0], [858.0, 2450.0], [853.0, 2501.0], [741.0, 2491.0]], ('Total', 0.9998661279678345)], [[[1418.0, 2452.0], [1588.0, 2452.0], [1588.0, 2492.0], [1418.0, 2492.0]], ('$ 432,50', 0.9987316727638245)], [[[1713.0, 2448.0], [1868.0, 2448.0], [1868.0, 2499.0], [1713.0, 2499.0]], ('$ 43,25', 0.9924511313438416)], [[[2086.0, 2448.0], [2263.0, 2448.0], [2263.0, 2499.0], [2086.0, 2499.0]], ('$ 475,75', 0.9920995235443115)]]	{'header': {'invoice_no': '37535203', 'invoice_date': '07/13/2015', 'seller': 'Garcia-Burton 0340 Moran Port Pattonborough, WI 65859', 'client': 'Miranda-Nielsen 8668 Rangel Stravenue Suite 392 Port Kristen, SD 88510', 'seller_tax_id': '916-83-8601', 'client_tax_id': '989-84-4547', 'iban': 'GB30ICA043176037560423'}, 'items': [{'item_desc': 'Q&A a Day: 5-Year Journal', 'item_qty': '3,00', 'item_net_price': '4,49', 'item_net_worth': '13,47', 'item_vat': '10%', 'item_gross_worth': '14,82'}, {'item_desc': "Poor Charlie's Almanack The Wit and Wisdom of Charles T Munger 3rd Ed. BRAND NEW", 'item_qty': '5,00', 'item_net_price': '64,95', 'item_net_worth': '324,75', 'item_vat': '10%', 'item_gross_worth': '357,23'}, {'item_desc': "Against All Odds : The Untold Story of Canada's Unlikely Hockey Heroes", 'item_qty': '5,00', 'item_net_price': '4,41', 'item_net_worth': '22,05', 'item_vat': '10%', 'item_gross_worth': '24,26'}, {'item_desc': 'Enough By Helen Roseveare', 'item_qty': '3,00', 'item_net_price': '8,86', 'item_net_worth': '26,58', 'item_vat': '10%', 'item_gross_worth': '29,24'}, {'item_desc': 'Waterfowl Illustrated', 'item_qty': '4,00', 'item_net_price': '5,80', 'item_net_worth': '23,20', 'item_vat': '10%', 'item_gross_worth': '25,52'}, {'item_desc': 'The Messiah', 'item_qty': '5,00', 'item_net_price': '4,49', 'item_net_worth': '22,45', 'item_vat': '10%', 'item_gross_worth': '24,70'}], 'summary': {'total_net_worth': '$432,50', 'total_vat': '$43,25', 'total_gross_worth': '$ 475,75'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[199.0, 110.0], [805.0, 110.0], [805.0, 161.0], [199.0, 161.0]], ('Invoice no: 79434652', 0.9995856285095215)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9883247017860413)], [[[1200.0, 216.0], [1462.0, 216.0], [1462.0, 256.0], [1200.0, 256.0]], ('06/22/2013', 0.9997043609619141)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[1240.0, 661.0], [1429.0, 661.0], [1429.0, 720.0], [1240.0, 720.0]], ('Client:', 0.9994950890541077)], [[[204.0, 752.0], [469.0, 761.0], [468.0, 812.0], [202.0, 803.0]], ('Ware Group', 0.9900591969490051)], [[[1246.0, 748.0], [1452.0, 757.0], [1449.0, 808.0], [1243.0, 800.0]], ('Keller Inc', 0.9970784187316895)], [[[203.0, 811.0], [757.0, 807.0], [757.0, 859.0], [203.0, 863.0]], ('879 Jones Haven Apt. 398', 0.9946182370185852)], [[[1248.0, 811.0], [1890.0, 811.0], [1890.0, 859.0], [1248.0, 859.0]], ('801 Yolanda Gardens Apt. 613', 0.9987923502922058)], [[[210.0, 866.0], [665.0, 866.0], [665.0, 914.0], [210.0, 914.0]], ('Port Gloria, TN 84764', 0.9992951154708862)], [[[1248.0, 866.0], [1754.0, 866.0], [1754.0, 914.0], [1248.0, 914.0]], ('New lanside, wV 53879', 0.945091724395752)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 905-94-4458', 0.9924058318138123)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 964-74-0577', 0.9918445944786072)], [[[207.0, 1023.0], [934.0, 1023.0], [934.0, 1071.0], [207.0, 1071.0]], ('IBAN: GB05FZSB29082242149094', 0.9822134971618652)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[355.0, 1392.0], [868.0, 1396.0], [867.0, 1444.0], [354.0, 1440.0]], ('Dont Sweat the Small Stuff . ..', 0.9578869342803955)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('1,00', 0.9984493255615234)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[1444.0, 1396.0], [1528.0, 1396.0], [1528.0, 1440.0], [1444.0, 1440.0]], ('4,49', 0.9928430318832397)], [[[1698.0, 1396.0], [1783.0, 1396.0], [1783.0, 1440.0], [1698.0, 1440.0]], ('4,49', 0.9923847913742065)], [[[1916.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1916.0, 1440.0]], ('10%', 0.9995570182800293)], [[[2171.0, 1396.0], [2256.0, 1396.0], [2256.0, 1440.0], [2171.0, 1440.0]], ('4,94', 0.9964828491210938)], [[[358.0, 1436.0], [860.0, 1436.0], [860.0, 1484.0], [358.0, 1484.0]], ('and Its All Small Stuff: Simple', 0.9649802446365356)], [[[355.0, 1476.0], [595.0, 1484.0], [593.0, 1524.0], [354.0, 1516.0]], ('Ways to Keep', 0.9642137885093689)], [[[354.0, 1564.0], [842.0, 1564.0], [842.0, 1611.0], [354.0, 1611.0]], ('Book: The Lee-Enfield by lan', 0.9966385960578918)], [[[1001.0, 1560.0], [1097.0, 1560.0], [1097.0, 1615.0], [1001.0, 1615.0]], ('2,00', 0.9976249933242798)], [[[1152.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1152.0, 1611.0]], ('each', 0.9978877305984497)], [[[1421.0, 1564.0], [1532.0, 1564.0], [1532.0, 1615.0], [1421.0, 1615.0]], ('94,95', 0.9999121427536011)], [[[1654.0, 1564.0], [1787.0, 1564.0], [1787.0, 1615.0], [1654.0, 1615.0]], ('189,90', 0.9995148777961731)], [[[1912.0, 1560.0], [2005.0, 1560.0], [2005.0, 1615.0], [1912.0, 1615.0]], ('10%', 0.9999397397041321)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1608.0], [251.0, 1608.0]], ('2.', 0.9935410022735596)], [[[2130.0, 1568.0], [2256.0, 1568.0], [2256.0, 1608.0], [2130.0, 1608.0]], ('208,89', 0.9973954558372498)], [[[351.0, 1604.0], [824.0, 1612.0], [823.0, 1659.0], [350.0, 1651.0]], ('Skennerton- Signed Edition', 0.9900661706924438)], [[[347.0, 1692.0], [868.0, 1699.0], [867.0, 1747.0], [347.0, 1739.0]], (' The Last Kings of Shanghai by', 0.9910001158714294)], [[[1004.0, 1692.0], [1097.0, 1692.0], [1097.0, 1747.0], [1004.0, 1747.0]], ('3,00', 0.9412870407104492)], [[[1152.0, 1699.0], [1244.0, 1699.0], [1244.0, 1743.0], [1152.0, 1743.0]], ('each', 0.9991188645362854)], [[[1436.0, 1692.0], [1532.0, 1692.0], [1532.0, 1747.0], [1436.0, 1747.0]], ('2,99', 0.9996837973594666)], [[[1695.0, 1692.0], [1787.0, 1692.0], [1787.0, 1747.0], [1695.0, 1747.0]], ('8,97', 0.9997357130050659)], [[[1912.0, 1692.0], [2005.0, 1692.0], [2005.0, 1747.0], [1912.0, 1747.0]], ('10%', 0.9999165534973145)], [[[2163.0, 1692.0], [2259.0, 1692.0], [2259.0, 1747.0], [2163.0, 1747.0]], ('9,87', 0.9988498687744141)], [[[251.0, 1703.0], [284.0, 1703.0], [284.0, 1736.0], [251.0, 1736.0]], ('3.', 0.9901798963546753)], [[[358.0, 1747.0], [672.0, 1747.0], [672.0, 1783.0], [358.0, 1783.0]], ('Jonathan Kaufman', 0.9937658309936523)], [[[358.0, 1827.0], [905.0, 1827.0], [905.0, 1875.0], [358.0, 1875.0]], ('Arnold Ehret RATIONAL FASTING', 0.9899601936340332)], [[[1008.0, 1827.0], [1093.0, 1827.0], [1093.0, 1871.0], [1008.0, 1871.0]], ('1,00', 0.999497652053833)], [[[1152.0, 1831.0], [1244.0, 1831.0], [1244.0, 1875.0], [1152.0, 1875.0]], ('each', 0.999234139919281)], [[[1440.0, 1823.0], [1532.0, 1823.0], [1532.0, 1878.0], [1440.0, 1878.0]], ('6,75', 0.9996875524520874)], [[[1695.0, 1823.0], [1783.0, 1823.0], [1783.0, 1878.0], [1695.0, 1878.0]], ('6,75', 0.9994090795516968)], [[[1912.0, 1823.0], [2005.0, 1823.0], [2005.0, 1878.0], [1912.0, 1878.0]], ('10%', 0.9999478459358215)], [[[2167.0, 1823.0], [2256.0, 1823.0], [2256.0, 1878.0], [2167.0, 1878.0]], ('7,43', 0.9989821910858154)], [[[354.0, 1871.0], [816.0, 1871.0], [816.0, 1918.0], [354.0, 1918.0]], ("1971 paperback collector's", 0.9989759922027588)], [[[354.0, 1915.0], [480.0, 1915.0], [480.0, 1955.0], [354.0, 1955.0]], ('edition', 0.9987727999687195)], [[[192.0, 2054.0], [491.0, 2054.0], [491.0, 2105.0], [192.0, 2105.0]], ('SUMMARY', 0.9969744086265564)], [[[956.0, 2174.0], [1122.0, 2174.0], [1122.0, 2225.0], [956.0, 2225.0]], ('VAT [%]', 0.9993820786476135)], [[[1776.0, 2165.0], [1874.0, 2176.0], [1868.0, 2231.0], [1770.0, 2220.0]], ('VAT', 0.9770669937133789)], [[[1388.0, 2178.0], [1588.0, 2178.0], [1588.0, 2218.0], [1388.0, 2218.0]], ('Net worth', 0.9842570424079895)], [[[2023.0, 2178.0], [2252.0, 2178.0], [2252.0, 2214.0], [2023.0, 2214.0]], ('Gross worth', 0.9949948787689209)], [[[994.0, 2253.0], [1087.0, 2264.0], [1081.0, 2318.0], [988.0, 2307.0]], ('10%', 0.999870777130127)], [[[1458.0, 2262.0], [1591.0, 2262.0], [1591.0, 2313.0], [1458.0, 2313.0]], ('210,11', 0.9992700219154358)], [[[1753.0, 2253.0], [1870.0, 2263.0], [1865.0, 2318.0], [1749.0, 2308.0]], ('21,01', 0.9995339512825012)], [[[2130.0, 2262.0], [2267.0, 2262.0], [2267.0, 2313.0], [2130.0, 2313.0]], ('231,12', 0.9998523592948914)], [[[746.0, 2353.0], [857.0, 2353.0], [857.0, 2404.0], [746.0, 2404.0]], ('Total', 0.9998736381530762)], [[[1414.0, 2353.0], [1588.0, 2353.0], [1588.0, 2404.0], [1414.0, 2404.0]], ('$ 210,11', 0.9818649291992188)], [[[1713.0, 2353.0], [1864.0, 2353.0], [1864.0, 2404.0], [1713.0, 2404.0]], ('$ 21,01', 0.9806684255599976)], [[[2082.0, 2353.0], [2263.0, 2353.0], [2263.0, 2404.0], [2082.0, 2404.0]], ('$ 231,12', 0.991923451423645)]]	{'header': {'invoice_no': '79434652', 'invoice_date': '06/22/2013', 'seller': 'Ware Group 879 Jones Haven Apt. 398 Port Gloria, TN 84764', 'client': 'Keller Inc 801 Yolanda Gardens Apt. 613 New lanside, WV 53879', 'seller_tax_id': '905-94-4458', 'client_tax_id': '964-74-0577', 'iban': 'GB05FZSB29082242149094'}, 'items': [{'item_desc': 'Dont Sweat the Small Stuff and Its All Small Stuff: Simple Ways to Keep', 'item_qty': '1,00', 'item_net_price': '4,49', 'item_net_worth': '4,49', 'item_vat': '10%', 'item_gross_worth': '4,94'}, {'item_desc': 'Book: The Lee-Enfield by lan Skennerton- Signed Edition', 'item_qty': '2,00', 'item_net_price': '94,95', 'item_net_worth': '189,90', 'item_vat': '10%', 'item_gross_worth': '208,89'}, {'item_desc': 'The Last Kings of Shanghai by Jonathan Kaufman', 'item_qty': '3,00', 'item_net_price': '2,99', 'item_net_worth': '8,97', 'item_vat': '10%', 'item_gross_worth': '9,87'}, {'item_desc': "Arnold Ehret RATIONAL FASTING 1971 paperback collector's edition", 'item_qty': '1,00', 'item_net_price': '6,75', 'item_net_worth': '6,75', 'item_vat': '10%', 'item_gross_worth': '7,43'}], 'summary': {'total_net_worth': '$ 210,11', 'total_vat': '$21,01', 'total_gross_worth': '$ 231,12'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [801.0, 110.0], [801.0, 161.0], [196.0, 161.0]], ('Invoice no: 11158119', 0.9986904859542847)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9944581985473633)], [[[1200.0, 216.0], [1462.0, 216.0], [1462.0, 256.0], [1200.0, 256.0]], ('03/23/2019', 0.9997869729995728)], [[[1235.0, 649.0], [1430.0, 659.0], [1427.0, 724.0], [1232.0, 715.0]], ('Client:', 0.999538242816925)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[207.0, 756.0], [428.0, 756.0], [428.0, 808.0], [207.0, 808.0]], ('Moore Ltd', 0.9994264245033264)], [[[1248.0, 756.0], [1639.0, 756.0], [1639.0, 808.0], [1248.0, 808.0]], ('Graham-Shepherd', 0.9995110630989075)], [[[203.0, 807.0], [565.0, 811.0], [564.0, 863.0], [203.0, 859.0]], ('USNV Thompson', 0.9986070394515991)], [[[1245.0, 807.0], [1743.0, 815.0], [1742.0, 863.0], [1244.0, 855.0]], ('42634 Michelle Mission', 0.9995599985122681)], [[[210.0, 866.0], [513.0, 866.0], [513.0, 914.0], [210.0, 914.0]], ('FPO AE 33047', 0.9913368225097656)], [[[1244.0, 866.0], [1706.0, 866.0], [1706.0, 914.0], [1244.0, 914.0]], ('Harperport, TN 23702', 0.9979954957962036)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 988-96-5242', 0.994136393070221)], [[[1248.0, 972.0], [1680.0, 972.0], [1680.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 943-88-6756', 0.9833037853240967)], [[[207.0, 1023.0], [927.0, 1023.0], [927.0, 1071.0], [207.0, 1071.0]], ('IBAN: GB83FTEF94522626404124', 0.9865819811820984)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1156.0, 1261.0], [1240.0, 1261.0], [1240.0, 1316.0], [1156.0, 1316.0]], ('UM', 0.9094463586807251)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1421.0, 1392.0], [1532.0, 1392.0], [1532.0, 1443.0], [1421.0, 1443.0]], ('15,00', 0.99968022108078)], [[[1672.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1672.0, 1443.0]], ('60,00', 0.9986981153488159)], [[[1909.0, 1383.0], [2003.0, 1394.0], [1997.0, 1448.0], [1903.0, 1438.0]], ('10%', 0.9999473690986633)], [[[251.0, 1400.0], [284.0, 1400.0], [284.0, 1432.0], [251.0, 1432.0]], ('1.', 0.9954556226730347)], [[[351.0, 1396.0], [679.0, 1396.0], [679.0, 1443.0], [351.0, 1443.0]], ('confetti wine glass', 0.9999235272407532)], [[[1004.0, 1396.0], [1093.0, 1396.0], [1093.0, 1440.0], [1004.0, 1440.0]], ('4,00', 0.9990160465240479)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[2145.0, 1392.0], [2259.0, 1392.0], [2259.0, 1443.0], [2145.0, 1443.0]], ('66,00', 0.9967435002326965)], [[[354.0, 1480.0], [882.0, 1480.0], [882.0, 1527.0], [354.0, 1527.0]], ('BRAND NEW Metrokane Rabbit', 0.9850414991378784)], [[[1008.0, 1484.0], [1097.0, 1484.0], [1097.0, 1527.0], [1008.0, 1527.0]], ('2,00', 0.998587965965271)], [[[1148.0, 1487.0], [1252.0, 1487.0], [1252.0, 1535.0], [1148.0, 1535.0]], ('each', 0.9972397685050964)], [[[1418.0, 1480.0], [1532.0, 1480.0], [1532.0, 1531.0], [1418.0, 1531.0]], ('29,99', 0.9998335838317871)], [[[1676.0, 1487.0], [1783.0, 1487.0], [1783.0, 1527.0], [1676.0, 1527.0]], ('59,98', 0.9935962557792664)], [[[1912.0, 1479.0], [2003.0, 1489.0], [1998.0, 1532.0], [1907.0, 1522.0]], ('10%', 0.9998318552970886)], [[[251.0, 1491.0], [288.0, 1491.0], [288.0, 1524.0], [251.0, 1524.0]], ('2.', 0.99964439868927)], [[[2152.0, 1484.0], [2256.0, 1484.0], [2256.0, 1531.0], [2152.0, 1531.0]], ('65,98', 0.9994262456893921)], [[[351.0, 1520.0], [901.0, 1528.0], [900.0, 1575.0], [350.0, 1567.0]], ('Wine Gold Color Tool Kit 6 Piece', 0.9996097087860107)], [[[358.0, 1571.0], [587.0, 1571.0], [587.0, 1608.0], [358.0, 1608.0]], ('Set w/Aerator', 0.9952576756477356)], [[[192.0, 1706.0], [491.0, 1706.0], [491.0, 1758.0], [192.0, 1758.0]], ('SUMMARY', 0.9953848123550415)], [[[956.0, 1831.0], [1122.0, 1831.0], [1122.0, 1882.0], [956.0, 1882.0]], ('VAT [%]', 0.9992411732673645)], [[[1772.0, 1822.0], [1874.0, 1832.0], [1868.0, 1887.0], [1767.0, 1877.0]], ('VAT', 0.977888286113739)], [[[1388.0, 1834.0], [1588.0, 1834.0], [1588.0, 1875.0], [1388.0, 1875.0]], ('Net worth', 0.9998443126678467)], [[[2023.0, 1838.0], [2256.0, 1838.0], [2256.0, 1875.0], [2023.0, 1875.0]], ('Gross worth', 0.9999376535415649)], [[[994.0, 1910.0], [1087.0, 1920.0], [1081.0, 1975.0], [988.0, 1964.0]], ('10%', 0.9999063611030579)], [[[1458.0, 1918.0], [1595.0, 1918.0], [1595.0, 1970.0], [1458.0, 1970.0]], ('119,98', 0.998502790927887)], [[[1754.0, 1918.0], [1872.0, 1918.0], [1872.0, 1970.0], [1754.0, 1970.0]], ('12,00', 0.9992804527282715)], [[[2130.0, 1918.0], [2271.0, 1918.0], [2271.0, 1970.0], [2130.0, 1970.0]], ('131,98', 0.9997426867485046)], [[[746.0, 2010.0], [857.0, 2010.0], [857.0, 2061.0], [746.0, 2061.0]], ('Total', 0.9998666048049927)], [[[1414.0, 2013.0], [1588.0, 2013.0], [1588.0, 2054.0], [1414.0, 2054.0]], ('$ 119,98', 0.9717386960983276)], [[[1713.0, 2010.0], [1864.0, 2010.0], [1864.0, 2061.0], [1713.0, 2061.0]], ('$12,00', 0.9999281764030457)], [[[2086.0, 2013.0], [2259.0, 2013.0], [2259.0, 2054.0], [2086.0, 2054.0]], ('$131,98', 0.9900675415992737)]]	{'header': {'invoice_date': '03/23/2019', 'seller': 'Moore Ltd USNV Thompson FPO AE 33047', 'client': 'Graham-Shepherd 42634 Michelle Mission Harperport, TN 23702', 'seller_tax_id': '988-96-5242', 'client_tax_id': '943-88-6756', 'iban': 'GB83FTEF94522626404124'}, 'items': [{'item_desc': 'confetti wine glass', 'item_qty': '4,00', 'item_net_price': '15,00', 'item_net_worth': '60,00', 'item_vat': '10%', 'item_gross_worth': '66,00'}, {'item_desc': 'BRAND NEW Metrokane Rabbit Wine Gold Color Tool Kit 6 Piece Set w/Aerator', 'item_qty': '2,00', 'item_net_price': '29,99', 'item_net_worth': '59,98', 'item_vat': '10%', 'item_gross_worth': '65,98'}], 'summary': {'total_net_worth': '$ 119,98', 'total_vat': '$ 12,00', 'total_gross_worth': '131,98'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [797.0, 110.0], [797.0, 161.0], [196.0, 161.0]], ('Invoice no: 15665127', 0.9893717765808105)], [[[196.0, 212.0], [521.0, 212.0], [521.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9982017278671265)], [[[1200.0, 216.0], [1466.0, 216.0], [1466.0, 256.0], [1200.0, 256.0]], ('11/03/2020', 0.9997750520706177)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[1239.0, 657.0], [1426.0, 666.0], [1423.0, 721.0], [1236.0, 712.0]], ('Client:', 0.9863694310188293)], [[[202.0, 761.0], [449.0, 752.0], [451.0, 803.0], [204.0, 812.0]], ('Greene Ltd', 0.988221287727356)], [[[1244.0, 760.0], [1768.0, 760.0], [1768.0, 808.0], [1244.0, 808.0]], ('Cruz, Martinez and Jones', 0.9995381832122803)], [[[204.0, 807.0], [484.0, 811.0], [483.0, 863.0], [203.0, 859.0]], ('USCGC Lane', 0.9334379434585571)], [[[1245.0, 807.0], [1614.0, 811.0], [1613.0, 863.0], [1244.0, 859.0]], ('406 Baker Street', 0.9936953783035278)], [[[210.0, 870.0], [506.0, 870.0], [506.0, 906.0], [210.0, 906.0]], ('FPO AP 22594', 0.9976357817649841)], [[[1240.0, 866.0], [1720.0, 866.0], [1720.0, 914.0], [1240.0, 914.0]], ('Wendyshire, WI 08892', 0.9886066317558289)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 928-81-0532', 0.991152286529541)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 929-70-8255', 0.9890729784965515)], [[[210.0, 1030.0], [945.0, 1030.0], [945.0, 1067.0], [210.0, 1067.0]], ('IBAN: GB59TOAH68983697464363', 0.976561963558197)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1418.0, 1392.0], [1532.0, 1392.0], [1532.0, 1443.0], [1418.0, 1443.0]], ('99,00', 0.9961563944816589)], [[[1909.0, 1383.0], [2007.0, 1394.0], [2000.0, 1449.0], [1903.0, 1438.0]], ('10%', 0.9999048113822937)], [[[1008.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1008.0, 1440.0]], ('3,00', 0.9798600077629089)], [[[1654.0, 1396.0], [1783.0, 1396.0], [1783.0, 1436.0], [1654.0, 1436.0]], ('297,00', 0.9351502060890198)], [[[2129.0, 1388.0], [2257.0, 1397.0], [2254.0, 1441.0], [2126.0, 1432.0]], ('326,70', 0.9866047501564026)], [[[255.0, 1407.0], [281.0, 1407.0], [281.0, 1432.0], [255.0, 1432.0]], ('1', 0.998282790184021)], [[[358.0, 1400.0], [809.0, 1400.0], [809.0, 1436.0], [358.0, 1436.0]], ('Custom Build Dell Desktop', 0.9773052334785461)], [[[1145.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1145.0, 1440.0]], (' each', 0.913709819316864)], [[[354.0, 1436.0], [886.0, 1436.0], [886.0, 1484.0], [354.0, 1484.0]], ('Computer i5 \| 16GB \| 2TB \| SSD', 0.9547032713890076)], [[[354.0, 1476.0], [786.0, 1476.0], [786.0, 1524.0], [354.0, 1524.0]], ('Windows 10 PC WiFi DVD', 0.9955597519874573)], [[[355.0, 1564.0], [742.0, 1568.0], [742.0, 1608.0], [354.0, 1604.0]], ('Dell OptiPlex 9020 SFF', 0.9651904702186584)], [[[1676.0, 1564.0], [1787.0, 1564.0], [1787.0, 1615.0], [1676.0, 1615.0]], ('99,98', 0.9996055364608765)], [[[1913.0, 1555.0], [2010.0, 1566.0], [2005.0, 1617.0], [1907.0, 1606.0]], ('10%', 0.9929680228233337)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[1008.0, 1568.0], [1097.0, 1568.0], [1097.0, 1608.0], [1008.0, 1608.0]], ('2,00', 0.9984091520309448)], [[[1148.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1148.0, 1611.0]], ('each', 0.9977310299873352)], [[[1425.0, 1568.0], [1528.0, 1568.0], [1528.0, 1608.0], [1425.0, 1608.0]], ('49,99', 0.9994693994522095)], [[[2130.0, 1568.0], [2252.0, 1568.0], [2252.0, 1608.0], [2130.0, 1608.0]], ('109,98', 0.9992576241493225)], [[[355.0, 1608.0], [879.0, 1612.0], [879.0, 1652.0], [354.0, 1648.0]], ('DVD-Rw/Barebone PC Desktop', 0.9829961061477661)], [[[358.0, 1655.0], [897.0, 1655.0], [897.0, 1692.0], [358.0, 1692.0]], ('Computer NO OS/CPU/HDD/RAM', 0.9954484105110168)], [[[358.0, 1743.0], [797.0, 1743.0], [797.0, 1780.0], [358.0, 1780.0]], ('Dell Precision Workstation', 0.9617636203765869)], [[[1008.0, 1739.0], [1104.0, 1739.0], [1104.0, 1783.0], [1008.0, 1783.0]], ('2,00', 0.9873468279838562)], [[[1145.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1145.0, 1783.0]], (' each', 0.931943416595459)], [[[1399.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1399.0, 1787.0]], ('139,00', 0.9991085529327393)], [[[1650.0, 1736.0], [1787.0, 1736.0], [1787.0, 1787.0], [1650.0, 1787.0]], ('278,00', 0.9990701675415039)], [[[1912.0, 1739.0], [2005.0, 1739.0], [2005.0, 1783.0], [1912.0, 1783.0]], ('10%', 0.9955744743347168)], [[[2127.0, 1736.0], [2256.0, 1736.0], [2256.0, 1787.0], [2127.0, 1787.0]], ('305,80', 0.9994279742240906)], [[[251.0, 1747.0], [284.0, 1747.0], [284.0, 1776.0], [251.0, 1776.0]], ('3.', 0.9897561073303223)], [[[358.0, 1787.0], [893.0, 1787.0], [893.0, 1823.0], [358.0, 1823.0]], ('Computer Intel Xeon Quad Core', 0.9811089634895325)], [[[358.0, 1827.0], [805.0, 1827.0], [805.0, 1864.0], [358.0, 1864.0]], ('16GB 1TB Windows 10 Pro', 0.983157217502594)], [[[351.0, 1907.0], [901.0, 1911.0], [901.0, 1959.0], [351.0, 1955.0]], ('Dell Desktop Computer Optiplex', 0.9998191595077515)], [[[1421.0, 1907.0], [1532.0, 1907.0], [1532.0, 1959.0], [1421.0, 1959.0]], ('99,95', 0.9996232986450195)], [[[1654.0, 1907.0], [1787.0, 1907.0], [1787.0, 1959.0], [1654.0, 1959.0]], ('399,80', 0.9980204105377197)], [[[1909.0, 1899.0], [2007.0, 1909.0], [2000.0, 1964.0], [1903.0, 1953.0]], ('10%', 0.9993720054626465)], [[[1008.0, 1911.0], [1097.0, 1911.0], [1097.0, 1955.0], [1008.0, 1955.0]], ('4,00', 0.9946244955062866)], [[[1152.0, 1915.0], [1248.0, 1915.0], [1248.0, 1959.0], [1152.0, 1959.0]], ('each', 0.9984596967697144)], [[[2123.0, 1907.0], [2256.0, 1907.0], [2256.0, 1959.0], [2123.0, 1959.0]], ('439,78', 0.999627411365509)], [[[351.0, 1948.0], [853.0, 1951.0], [853.0, 1999.0], [351.0, 1995.0]], ('790 USFF Core i3 4GB 250GB', 0.9762462377548218)], [[[351.0, 1991.0], [746.0, 1995.0], [746.0, 2036.0], [351.0, 2032.0]], ('HD Windows 10 Pro PC', 0.984634280204773)], [[[1399.0, 2079.0], [1532.0, 2079.0], [1532.0, 2130.0], [1399.0, 2130.0]], ('509,99', 0.9994335174560547)], [[[1615.0, 2075.0], [1784.0, 2084.0], [1781.0, 2135.0], [1612.0, 2126.0]], ('1019,98', 0.999640941619873)], [[[1909.0, 2070.0], [2007.0, 2081.0], [2000.0, 2136.0], [1903.0, 2125.0]], ('10%', 0.9998958706855774)], [[[261.0, 2092.0], [284.0, 2103.0], [274.0, 2122.0], [252.0, 2111.0]], ('5', 0.9577608704566956)], [[[354.0, 2083.0], [857.0, 2083.0], [857.0, 2130.0], [354.0, 2130.0]], ('AMD Quad Core Custom Built', 0.9997081160545349)], [[[1008.0, 2087.0], [1097.0, 2087.0], [1097.0, 2127.0], [1008.0, 2127.0]], ('2,00', 0.9840644598007202)], [[[1148.0, 2087.0], [1252.0, 2087.0], [1252.0, 2134.0], [1148.0, 2134.0]], ('each', 0.9719215035438538)], [[[2093.0, 2087.0], [2252.0, 2087.0], [2252.0, 2127.0], [2093.0, 2127.0]], ('1 121,98', 0.9375197887420654)], [[[355.0, 2119.0], [868.0, 2127.0], [867.0, 2174.0], [354.0, 2167.0]], ('Gaming PC Computer Desktop', 0.9998458027839661)], [[[358.0, 2171.0], [690.0, 2171.0], [690.0, 2207.0], [358.0, 2207.0]], ('16GB 2TB Blue LED', 0.9295716285705566)], [[[355.0, 2255.0], [871.0, 2258.0], [871.0, 2299.0], [354.0, 2295.0]], ('HP T520 Thin Client Computer.', 0.9624523520469666)], [[[1421.0, 2255.0], [1532.0, 2255.0], [1532.0, 2306.0], [1421.0, 2306.0]], ('37,75', 0.9991027116775513)], [[[1672.0, 2255.0], [1787.0, 2255.0], [1787.0, 2306.0], [1672.0, 2306.0]], ('37,75', 0.9993070363998413)], [[[2149.0, 2246.0], [2257.0, 2256.0], [2252.0, 2311.0], [2143.0, 2301.0]], ('41,53', 0.9992486238479614)], [[[1004.0, 2258.0], [1093.0, 2258.0], [1093.0, 2302.0], [1004.0, 2302.0]], ('1,00', 0.9979515671730042)], [[[1145.0, 2258.0], [1248.0, 2258.0], [1248.0, 2306.0], [1145.0, 2306.0]], ('each', 0.9988183379173279)], [[[1912.0, 2258.0], [2005.0, 2258.0], [2005.0, 2302.0], [1912.0, 2302.0]], ('10%', 0.9959924221038818)], [[[258.0, 2269.0], [277.0, 2269.0], [277.0, 2291.0], [258.0, 2291.0]], ('6', 0.834687352180481)], [[[358.0, 2302.0], [905.0, 2302.0], [905.0, 2339.0], [358.0, 2339.0]], ('AMD GX-212JC 1.2GHz 4GB RAM', 0.9829674959182739)], [[[354.0, 2339.0], [779.0, 2339.0], [779.0, 2386.0], [354.0, 2386.0]], ('TESTED !!READ BELOW!!', 0.9877848625183105)], [[[192.0, 2481.0], [491.0, 2481.0], [491.0, 2532.0], [192.0, 2532.0]], ('SUMMARY', 0.9945025444030762)], [[[956.0, 2605.0], [1122.0, 2605.0], [1122.0, 2657.0], [956.0, 2657.0]], ('VAT [%]', 0.9994757771492004)], [[[1388.0, 2609.0], [1588.0, 2609.0], [1588.0, 2649.0], [1388.0, 2649.0]], ('Net worth', 0.9856247305870056)], [[[1780.0, 2605.0], [1868.0, 2605.0], [1868.0, 2649.0], [1780.0, 2649.0]], ('VAT', 0.8281314373016357)], [[[2023.0, 2605.0], [2256.0, 2605.0], [2256.0, 2646.0], [2023.0, 2646.0]], ('Gross worth.', 0.9727368950843811)], [[[994.0, 2684.0], [1087.0, 2695.0], [1081.0, 2746.0], [988.0, 2735.0]], ('10%', 0.9998788237571716)], [[[1429.0, 2697.0], [1584.0, 2697.0], [1584.0, 2737.0], [1429.0, 2737.0]], ('2132,51', 0.9906045794487)], [[[1735.0, 2693.0], [1868.0, 2693.0], [1868.0, 2744.0], [1735.0, 2744.0]], ('213,25', 0.9993739128112793)], [[[2101.0, 2697.0], [2259.0, 2697.0], [2259.0, 2737.0], [2101.0, 2737.0]], ('2 345,76', 0.9876465797424316)], [[[746.0, 2781.0], [857.0, 2781.0], [857.0, 2832.0], [746.0, 2832.0]], ('Total', 0.9998723268508911)], [[[1375.0, 2773.0], [1588.0, 2781.0], [1586.0, 2833.0], [1373.0, 2824.0]], ('$ 2 132,51', 0.9846552610397339)], [[[1689.0, 2773.0], [1869.0, 2782.0], [1866.0, 2833.0], [1686.0, 2824.0]], ('$ 213,25', 0.9841374158859253)], [[[2048.0, 2781.0], [2262.0, 2773.0], [2264.0, 2824.0], [2050.0, 2833.0]], ('$ 2 345,76', 0.984610378742218)]]	{'header': {'invoice_no': '15665127', 'invoice_date': '11/03/2020', 'seller': 'Greene Ltd USCGC Lane FPO AP22594', 'client': 'Cruz, Martinez and Jones 406 Baker Street Wendyshire, WI 08892', 'seller_tax_id': '928-81-0532', 'client_tax_id': '929-70-8255', 'iban': 'GB59TOAH68983697464363'}, 'items': [{'item_desc': 'Custom Build Dell Desktop Computer i5 I 16GB I 2TB I SSD Windows 10 PC WiFi DVD', 'item_qty': '3,00', 'item_net_price': '99,00', 'item_net_worth': '297,00', 'item_vat': '10%', 'item_gross_worth': '326,70'}, {'item_desc': 'Dell OptiPlex 9020 SFF DVD-RW/Barebone PC Desktop Computer NO 05/CPU/HDD/RAM', 'item_qty': '2,00', 'item_net_price': '49,99', 'item_net_worth': '99,98', 'item_vat': '10%', 'item_gross_worth': '109,98'}, {'item_desc': 'Dell Precision Workstation Computer Intel Xeon Quad Core 16GB 1TB Windows 10 Pro', 'item_qty': '2,00', 'item_net_price': '139,00', 'item_net_worth': '278,00', 'item_vat': '10%', 'item_gross_worth': '305,80'}, {'item_desc': 'Dell Desktop Computer Optiplex 790 USFF Core i3 4GB 250GB HD Windows 10 Pro PC', 'item_qty': '4,00', 'item_net_price': '99,95', 'item_net_worth': '399,80', 'item_vat': '10%', 'item_gross_worth': '439,78'}, {'item_desc': 'AMD Quad Core Custom Built Gaming PC Computer Desktop 16GB 2TB Blue LED', 'item_qty': '2,00', 'item_net_price': '509,99', 'item_net_worth': '1019,98', 'item_vat': '10%', 'item_gross_worth': '1121,98'}, {'item_desc': 'HP T520 Thin Client Computer AMD GX-212JC 1.2GHz 4GB RAM TESTED !IREAD BELOW!!', 'item_qty': '1,00', 'item_net_price': '37,75', 'item_net_worth': '37,75', 'item_vat': '10%', 'item_gross_worth': '41,53'}], 'summary': {'total_net_worth': '$2132,51', 'total_vat': '$ 213,25', 'total_gross_worth': '$2345,76'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[199.0, 110.0], [801.0, 110.0], [801.0, 161.0], [199.0, 161.0]], ('Invoice no: 10541959', 0.9994919896125793)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:.', 0.9795745611190796)], [[[1200.0, 216.0], [1462.0, 216.0], [1462.0, 256.0], [1200.0, 256.0]], ('02/19/2017', 0.9996944665908813)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1235.0, 649.0], [1430.0, 659.0], [1427.0, 724.0], [1232.0, 715.0]], ('Client:', 0.999538242816925)], [[[207.0, 753.0], [528.0, 757.0], [528.0, 808.0], [207.0, 804.0]], ('Alvarez-Woods', 0.9995502233505249)], [[[1245.0, 752.0], [1547.0, 760.0], [1546.0, 808.0], [1244.0, 800.0]], ('Smith-Haynes', 0.9995790123939514)], [[[210.0, 811.0], [831.0, 811.0], [831.0, 862.0], [210.0, 862.0]], ('7059 Bauer Squares Apt. 050', 0.999265730381012)], [[[1244.0, 807.0], [1706.0, 811.0], [1705.0, 863.0], [1244.0, 859.0]], ('11054 Adrian Stream', 0.9999339580535889)], [[[210.0, 866.0], [720.0, 866.0], [720.0, 917.0], [210.0, 917.0]], ('West Tammy, TN 81798', 0.9990583658218384)], [[[1248.0, 866.0], [1828.0, 866.0], [1828.0, 914.0], [1248.0, 914.0]], ('Port Nicholasfort, NE 71131', 0.9982512593269348)], [[[207.0, 972.0], [635.0, 972.0], [635.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 939-92-6291', 0.991767406463623)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 974-91-1402', 0.9911893606185913)], [[[203.0, 1019.0], [945.0, 1023.0], [945.0, 1074.0], [203.0, 1071.0]], ('IBAN: GB35DSTQ64817325575579', 0.9956008791923523)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2130.0, 1305.0], [2259.0, 1305.0], [2259.0, 1356.0], [2130.0, 1356.0]], ('worth', 0.9997998476028442)], [[[358.0, 1400.0], [812.0, 1400.0], [812.0, 1436.0], [358.0, 1436.0]], ('Women Sexy Lingerie Lace', 0.9559376239776611)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('1,00', 0.9984493255615234)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[1444.0, 1396.0], [1528.0, 1396.0], [1528.0, 1440.0], [1444.0, 1440.0]], ('0,99', 0.9953874945640564)], [[[1695.0, 1396.0], [1783.0, 1396.0], [1783.0, 1440.0], [1695.0, 1440.0]], ('0,99', 0.9961563348770142)], [[[1916.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1916.0, 1440.0]], ('10%', 0.9995570182800293)], [[[2167.0, 1396.0], [2256.0, 1396.0], [2256.0, 1440.0], [2167.0, 1440.0]], ('1,09', 0.9959798455238342)], [[[258.0, 1407.0], [277.0, 1407.0], [277.0, 1429.0], [258.0, 1429.0]], ('1', 0.9433960914611816)], [[[354.0, 1436.0], [812.0, 1436.0], [812.0, 1484.0], [354.0, 1484.0]], ('Dress Underwear Babydoll', 0.9995419383049011)], [[[355.0, 1473.0], [846.0, 1476.0], [845.0, 1524.0], [354.0, 1520.0]], ('Sleepwear G-string Bikini Lot', 0.9997598528862)], [[[1009.0, 1559.0], [1094.0, 1569.0], [1088.0, 1620.0], [1003.0, 1610.0]], ('4,00', 0.9987738728523254)], [[[1440.0, 1560.0], [1532.0, 1560.0], [1532.0, 1615.0], [1440.0, 1615.0]], ('4,99', 0.9995045065879822)], [[[1912.0, 1560.0], [2005.0, 1560.0], [2005.0, 1615.0], [1912.0, 1615.0]], ('10%', 0.9999397397041321)], [[[2149.0, 1552.0], [2261.0, 1562.0], [2256.0, 1616.0], [2143.0, 1606.0]], ('21,96', 0.9995743036270142)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[355.0, 1564.0], [835.0, 1568.0], [834.0, 1608.0], [354.0, 1604.0]], ('NwT Boohoo Sabra Emerald', 0.9533729553222656)], [[[1152.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1152.0, 1611.0]], ('each', 0.9978877305984497)], [[[1676.0, 1564.0], [1787.0, 1564.0], [1787.0, 1615.0], [1676.0, 1615.0]], ('19,96', 0.9996183514595032)], [[[354.0, 1608.0], [882.0, 1604.0], [883.0, 1652.0], [355.0, 1655.0]], ('Green Floral Ruffle Dress Sz 12', 0.9987062215805054)], [[[355.0, 1692.0], [783.0, 1696.0], [782.0, 1743.0], [354.0, 1739.0]], ('Sexy Lingerie Lace Dress', 0.9998798966407776)], [[[1005.0, 1683.0], [1098.0, 1694.0], [1092.0, 1748.0], [999.0, 1737.0]], ('1,00', 0.9942129254341125)], [[[1152.0, 1699.0], [1244.0, 1699.0], [1244.0, 1743.0], [1152.0, 1743.0]], ('each', 0.9991188645362854)], [[[1440.0, 1692.0], [1532.0, 1692.0], [1532.0, 1747.0], [1440.0, 1747.0]], ('5,19', 0.9992992877960205)], [[[1691.0, 1692.0], [1787.0, 1692.0], [1787.0, 1747.0], [1691.0, 1747.0]], ('5,19', 0.999460756778717)], [[[1912.0, 1692.0], [2005.0, 1692.0], [2005.0, 1747.0], [1912.0, 1747.0]], ('10%', 0.9999165534973145)], [[[2163.0, 1692.0], [2256.0, 1692.0], [2256.0, 1747.0], [2163.0, 1747.0]], ('5,71', 0.9996247291564941)], [[[244.0, 1721.0], [268.0, 1697.0], [288.0, 1717.0], [264.0, 1741.0]], ('3', 0.8711443543434143)], [[[355.0, 1736.0], [860.0, 1739.0], [860.0, 1787.0], [354.0, 1783.0]], ("Babydoll Women's Underwear", 0.999868631362915)], [[[355.0, 1779.0], [860.0, 1783.0], [860.0, 1831.0], [354.0, 1827.0]], ('Nightwear Sleepwear G-string', 0.9972068667411804)], [[[192.0, 1922.0], [491.0, 1922.0], [491.0, 1973.0], [192.0, 1973.0]], ('SUMMARY', 0.9968956112861633)], [[[955.0, 2034.0], [1123.0, 2044.0], [1120.0, 2098.0], [952.0, 2089.0]], ('VAT [%]', 0.9985150694847107)], [[[1388.0, 2050.0], [1588.0, 2050.0], [1588.0, 2090.0], [1388.0, 2090.0]], ('Net worth', 0.9551628828048706)], [[[1776.0, 2043.0], [1872.0, 2043.0], [1872.0, 2097.0], [1776.0, 2097.0]], ('VAT', 0.7454676032066345)], [[[2027.0, 2050.0], [2259.0, 2050.0], [2259.0, 2090.0], [2027.0, 2090.0]], ('Gross worth', 0.9996811151504517)], [[[993.0, 2130.0], [1085.0, 2130.0], [1085.0, 2185.0], [993.0, 2185.0]], ('10%', 0.9230511784553528)], [[[1480.0, 2130.0], [1591.0, 2130.0], [1591.0, 2185.0], [1480.0, 2185.0]], ('26,14', 0.9996660351753235)], [[[1776.0, 2130.0], [1868.0, 2130.0], [1868.0, 2185.0], [1776.0, 2185.0]], ('2,61', 0.9997854828834534)], [[[2152.0, 2125.0], [2265.0, 2136.0], [2260.0, 2190.0], [2147.0, 2180.0]], ('28,75', 0.9991361498832703)], [[[746.0, 2222.0], [857.0, 2222.0], [857.0, 2273.0], [746.0, 2273.0]], ('Total', 0.9998760223388672)], [[[1432.0, 2222.0], [1591.0, 2222.0], [1591.0, 2273.0], [1432.0, 2273.0]], ('$ 26,14', 0.9871329069137573)], [[[1735.0, 2222.0], [1864.0, 2222.0], [1864.0, 2273.0], [1735.0, 2273.0]], ('$ 2,61', 0.9581029415130615)], [[[2108.0, 2222.0], [2263.0, 2222.0], [2263.0, 2273.0], [2108.0, 2273.0]], ('$ 28,75', 0.992577850818634)]]	{'header': {'invoice_no': '10541959', 'invoice_date': '02/19/2017', 'seller': 'Alvarez-Woods 7059 Bauer Squares Apt. 050 West Tammy, TN 81798', 'client': 'Smith-Haynes 11054 Adrian Stream Port Nicholasfort, NE 71131', 'seller_tax_id': '939-92-6291', 'client_tax_id': '974-91-1402', 'iban': 'GB35DSTQ64817325575579'}, 'items': [{'item_desc': 'Women Sexy Lingerie Lace Dress Underwear Babydoll Sleepwear G-string Bikini Lot', 'item_qty': '1,00', 'item_net_price': '0,99', 'item_net_worth': '0,99', 'item_vat': '10%', 'item_gross_worth': '1,09'}, {'item_desc': 'NWT Boohoo Sabra Emerald Green Floral Ruffle Dress Sz 12', 'item_qty': '4,00', 'item_net_price': '4,99', 'item_net_worth': '19,96', 'item_vat': '10%', 'item_gross_worth': '21,96'}, {'item_desc': "Sexy Lingerie Lace Dress Babydoll Women's Underwear Nightwear Sleepwear G-string", 'item_qty': '1,00', 'item_net_price': '5,19', 'item_net_worth': '5,19', 'item_vat': '10%', 'item_gross_worth': '5,71'}], 'summary': {'total_net_worth': '$ 26,14', 'total_vat': '$2,61', 'total_gross_worth': '$28,75'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[199.0, 110.0], [801.0, 110.0], [801.0, 161.0], [199.0, 161.0]], ('Invoice no: 60400209', 0.9976837038993835)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9883247017860413)], [[[1204.0, 216.0], [1466.0, 216.0], [1466.0, 256.0], [1204.0, 256.0]], ('10/02/2017', 0.999759316444397)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[1240.0, 661.0], [1429.0, 661.0], [1429.0, 720.0], [1240.0, 720.0]], ('Client:', 0.9994950890541077)], [[[207.0, 756.0], [428.0, 756.0], [428.0, 808.0], [207.0, 808.0]], ('White PLC', 0.9997143149375916)], [[[1248.0, 756.0], [1480.0, 756.0], [1480.0, 808.0], [1248.0, 808.0]], ('Elliott-Cole', 0.9996244311332703)], [[[207.0, 811.0], [842.0, 811.0], [842.0, 862.0], [207.0, 862.0]], ('26881 Gregory Loaf Suite 262', 0.9874698519706726)], [[[1248.0, 811.0], [1949.0, 811.0], [1949.0, 859.0], [1248.0, 859.0]], ('912 Coleman Mountains Apt. 947', 0.999181866645813)], [[[210.0, 866.0], [720.0, 866.0], [720.0, 914.0], [210.0, 914.0]], ('Frenchmouth, AL 15024', 0.9994370341300964)], [[[1248.0, 866.0], [1887.0, 866.0], [1887.0, 914.0], [1248.0, 914.0]], ('New Brittanymouth, TX 87230', 0.9984659552574158)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 995-72-0848', 0.981935977935791)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 979-73-3842', 0.9907221794128418)], [[[207.0, 1023.0], [941.0, 1023.0], [941.0, 1071.0], [207.0, 1071.0]], ('IBAN: GB81EOTC18830149895987', 0.9708641767501831)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2130.0, 1305.0], [2259.0, 1305.0], [2259.0, 1356.0], [2130.0, 1356.0]], ('worth', 0.9997998476028442)], [[[262.0, 1401.0], [281.0, 1413.0], [269.0, 1431.0], [250.0, 1419.0]], ('1', 0.7312796115875244)], [[[355.0, 1396.0], [842.0, 1400.0], [842.0, 1440.0], [354.0, 1436.0]], ('RICOsTA BGE boys everyday', 0.9496018290519714)], [[[1008.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1008.0, 1440.0]], ('2,00', 0.9887767434120178)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[1421.0, 1392.0], [1532.0, 1392.0], [1532.0, 1443.0], [1421.0, 1443.0]], ('45,00', 0.9992192983627319)], [[[1672.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1672.0, 1443.0]], ('90,00', 0.9995878338813782)], [[[1916.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1916.0, 1440.0]], ('10%', 0.9995570182800293)], [[[2145.0, 1392.0], [2259.0, 1392.0], [2259.0, 1443.0], [2145.0, 1443.0]], ('99,00', 0.9992716908454895)], [[[358.0, 1443.0], [893.0, 1443.0], [893.0, 1480.0], [358.0, 1480.0]], ('casual sandals NEW Size 33/ US', 0.9793540239334106)], [[[354.0, 1484.0], [388.0, 1484.0], [388.0, 1520.0], [354.0, 1520.0]], ('2', 0.9993889331817627)], [[[351.0, 1560.0], [886.0, 1568.0], [886.0, 1615.0], [350.0, 1608.0]], (' Blueteeth LED Galaxy Projector', 0.9833047986030579)], [[[1421.0, 1564.0], [1532.0, 1564.0], [1532.0, 1615.0], [1421.0, 1615.0]], ('28,49', 0.9997903108596802)], [[[1654.0, 1564.0], [1787.0, 1564.0], [1787.0, 1615.0], [1654.0, 1615.0]], ('113,96', 0.9996380805969238)], [[[1913.0, 1555.0], [2007.0, 1566.0], [2001.0, 1617.0], [1907.0, 1606.0]], ('10%', 0.9992581009864807)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[1008.0, 1568.0], [1097.0, 1568.0], [1097.0, 1611.0], [1008.0, 1611.0]], ('4,00', 0.9977242946624756)], [[[1152.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1152.0, 1611.0]], ('each', 0.9978877305984497)], [[[2127.0, 1564.0], [2256.0, 1564.0], [2256.0, 1615.0], [2127.0, 1615.0]], ('125,36', 0.9997169375419617)], [[[355.0, 1604.0], [750.0, 1612.0], [749.0, 1659.0], [354.0, 1651.0]], ('Starry Night Lamp Star', 0.9999154806137085)], [[[358.0, 1655.0], [801.0, 1655.0], [801.0, 1692.0], [358.0, 1692.0]], ('Projection Night Light USB', 0.9980989098548889)], [[[251.0, 1747.0], [284.0, 1747.0], [284.0, 1780.0], [251.0, 1780.0]], ('3.', 0.9914537668228149)], [[[355.0, 1739.0], [864.0, 1743.0], [864.0, 1783.0], [354.0, 1779.0]], ("Kid's Unicorn Sunglasses Girls.", 0.9779040217399597)], [[[1008.0, 1739.0], [1097.0, 1739.0], [1097.0, 1783.0], [1008.0, 1783.0]], ('3,00', 0.9891558885574341)], [[[1152.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1152.0, 1783.0]], ('each', 0.9987009763717651)], [[[1444.0, 1739.0], [1528.0, 1739.0], [1528.0, 1783.0], [1444.0, 1783.0]], ('9,95', 0.9923014044761658)], [[[1680.0, 1739.0], [1783.0, 1739.0], [1783.0, 1787.0], [1680.0, 1787.0]], ('29,85', 0.9766381978988647)], [[[1916.0, 1739.0], [2001.0, 1739.0], [2001.0, 1783.0], [1916.0, 1783.0]], ('10%', 0.9996688961982727)], [[[2152.0, 1739.0], [2256.0, 1739.0], [2256.0, 1787.0], [2152.0, 1787.0]], ('32,83', 0.9865204095840454)], [[[358.0, 1787.0], [797.0, 1787.0], [797.0, 1823.0], [358.0, 1823.0]], ('Rainbow Mythical Fashion', 0.9921233057975769)], [[[353.0, 1819.0], [488.0, 1828.0], [486.0, 1868.0], [350.0, 1859.0]], ('Shades', 0.9988293647766113)], [[[192.0, 1962.0], [491.0, 1962.0], [491.0, 2013.0], [192.0, 2013.0]], ('SUMMARY', 0.9950113296508789)], [[[1776.0, 2074.0], [1874.0, 2085.0], [1868.0, 2139.0], [1770.0, 2129.0]], ('VAT', 0.9557650089263916)], [[[956.0, 2087.0], [1122.0, 2087.0], [1122.0, 2138.0], [956.0, 2138.0]], ('VAT [%]', 0.9992411732673645)], [[[1388.0, 2090.0], [1584.0, 2090.0], [1584.0, 2130.0], [1388.0, 2130.0]], ('Net worth', 0.9688122272491455)], [[[2027.0, 2094.0], [2259.0, 2094.0], [2259.0, 2130.0], [2027.0, 2130.0]], ('Gross worth', 0.999802827835083)], [[[997.0, 2178.0], [1082.0, 2178.0], [1082.0, 2222.0], [997.0, 2222.0]], ('10%', 0.9996705055236816)], [[[1458.0, 2174.0], [1588.0, 2174.0], [1588.0, 2225.0], [1458.0, 2225.0]], ('233,81', 0.9993062019348145)], [[[1754.0, 2174.0], [1868.0, 2174.0], [1868.0, 2225.0], [1754.0, 2225.0]], ('23,38', 0.9993135333061218)], [[[2134.0, 2174.0], [2263.0, 2174.0], [2263.0, 2225.0], [2134.0, 2225.0]], ('257,19', 0.9996392130851746)], [[[746.0, 2262.0], [857.0, 2262.0], [857.0, 2313.0], [746.0, 2313.0]], ('Total', 0.9998490214347839)], [[[1414.0, 2269.0], [1584.0, 2269.0], [1584.0, 2309.0], [1414.0, 2309.0]], ('$ 233,81', 0.9925755262374878)], [[[1713.0, 2266.0], [1868.0, 2266.0], [1868.0, 2317.0], [1713.0, 2317.0]], ('$ 23,38', 0.9819442629814148)], [[[2086.0, 2269.0], [2256.0, 2269.0], [2256.0, 2309.0], [2086.0, 2309.0]], ('$ 257,19', 0.9742337465286255)]]	{'header': {'invoice_no': '60400209', 'invoice_date': '10/02/2017', 'seller': 'White PLC 26881 Gregory Loaf Suite 262 Frenchmouth, AL 15024', 'client': 'Elliott-Cole 912 Coleman Mountains Apt. 947 New Brittanymouth, TX 87230', 'seller_tax_id': '995-72-0848', 'client_tax_id': '979-73-3842', 'iban': 'GB81EOTC18830149895987'}, 'items': [{'item_desc': 'RICOSTA BGE boys everyday casual sandals NEW Size 33/US', 'item_qty': '2,00', 'item_net_price': '45,00', 'item_net_worth': '90,00', 'item_vat': '10%', 'item_gross_worth': '99,00'}, {'item_desc': 'Blueteeth LED Galaxy Projector Starry Night Lamp Star Projection Night Light USB', 'item_qty': '4,00', 'item_net_price': '28,49', 'item_net_worth': '113,96', 'item_vat': '10%', 'item_gross_worth': '125,36'}, {'item_desc': "Kid's Unicorn Sunglasses Girls Rainbow Mythical Fashion Shades", 'item_qty': '3,00', 'item_net_price': '9,95', 'item_net_worth': '29,85', 'item_vat': '10%', 'item_gross_worth': '32,83'}], 'summary': {'total_net_worth': '$ 233,81', 'total_vat': '$ 23,38', 'total_gross_worth': '$ 257,19'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [805.0, 110.0], [805.0, 161.0], [196.0, 161.0]], ('Invoice no: 62312762', 0.9991013407707214)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9990058541297913)], [[[1204.0, 216.0], [1469.0, 216.0], [1469.0, 256.0], [1204.0, 256.0]], ('03/08/2019', 0.9998266100883484)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1240.0, 661.0], [1429.0, 661.0], [1429.0, 720.0], [1240.0, 720.0]], ('Client:', 0.9994950890541077)], [[[207.0, 760.0], [561.0, 760.0], [561.0, 808.0], [207.0, 808.0]], ('Lambert-Murphy', 0.9968584775924683)], [[[1245.0, 752.0], [1511.0, 761.0], [1509.0, 812.0], [1244.0, 803.0]], ('Dalton-Pope', 0.9991446137428284)], [[[207.0, 811.0], [868.0, 811.0], [868.0, 862.0], [207.0, 862.0]], ('67341 Kennedy Brook Apt. 901', 0.9994997978210449)], [[[1244.0, 807.0], [1817.0, 811.0], [1816.0, 863.0], [1244.0, 859.0]], ('49580 Keith Ferry Apt. 170', 0.9906566143035889)], [[[207.0, 866.0], [679.0, 866.0], [679.0, 914.0], [207.0, 914.0]], ('Jonesmouth, HI 64478', 0.99603271484375)], [[[1248.0, 866.0], [1780.0, 866.0], [1780.0, 914.0], [1248.0, 914.0]], ('Port Johnburgh, NJ 58435', 0.9991586804389954)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 983-75-3868', 0.9922562837600708)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 903-86-9811', 0.9919778108596802)], [[[207.0, 1023.0], [949.0, 1023.0], [949.0, 1071.0], [207.0, 1071.0]], ('IBAN: GB02NXHR06400921861370', 0.9846161603927612)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997538924217224)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[358.0, 1400.0], [783.0, 1400.0], [783.0, 1436.0], [358.0, 1436.0]], ('Fluffy Floor Mat Anti-Skid', 0.9775663614273071)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('5,00', 0.9872055053710938)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[1444.0, 1396.0], [1528.0, 1396.0], [1528.0, 1440.0], [1444.0, 1440.0]], ('3,89', 0.9827697277069092)], [[[1676.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1676.0, 1443.0]], ('19,45', 0.998691201210022)], [[[1916.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1916.0, 1440.0]], ('10%', 0.9995570182800293)], [[[2145.0, 1392.0], [2259.0, 1392.0], [2259.0, 1443.0], [2145.0, 1443.0]], ('21,40', 0.9994438290596008)], [[[354.0, 1436.0], [897.0, 1436.0], [897.0, 1484.0], [354.0, 1484.0]], ('Shaggy Area Rugs Dining Living', 0.981806218624115)], [[[358.0, 1484.0], [801.0, 1484.0], [801.0, 1520.0], [358.0, 1520.0]], ('Room Carpet Home Decor', 0.9951000213623047)], [[[1399.0, 1564.0], [1532.0, 1564.0], [1532.0, 1615.0], [1399.0, 1615.0]], ('272,60', 0.9996957182884216)], [[[1654.0, 1564.0], [1783.0, 1564.0], [1783.0, 1615.0], [1654.0, 1615.0]], ('545,20', 0.9983645081520081)], [[[1913.0, 1555.0], [2007.0, 1566.0], [2000.0, 1620.0], [1907.0, 1610.0]], ('10%', 0.9998977184295654)], [[[358.0, 1571.0], [834.0, 1571.0], [834.0, 1608.0], [358.0, 1608.0]], ('Handmade Tribal Geometric', 0.9705972075462341)], [[[1008.0, 1568.0], [1097.0, 1568.0], [1097.0, 1608.0], [1008.0, 1608.0]], ('2,00', 0.9984091520309448)], [[[1152.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1152.0, 1611.0]], ('each', 0.9978877305984497)], [[[2130.0, 1568.0], [2252.0, 1568.0], [2252.0, 1608.0], [2130.0, 1608.0]], ('599,72', 0.9981566071510315)], [[[244.0, 1590.0], [268.0, 1566.0], [288.0, 1586.0], [264.0, 1610.0]], ('2', 0.6281798481941223)], [[[354.0, 1608.0], [783.0, 1608.0], [783.0, 1655.0], [354.0, 1655.0]], ('Design 4X6 Indo-Gabbeh', 0.9989282488822937)], [[[358.0, 1655.0], [882.0, 1655.0], [882.0, 1692.0], [358.0, 1692.0]], ('Oriental Rug Kids Room Carpet', 0.9913047552108765)], [[[351.0, 1739.0], [871.0, 1743.0], [871.0, 1783.0], [351.0, 1779.0]], ('Striped Contemporary Gabbeh', 0.9794711470603943)], [[[1008.0, 1739.0], [1097.0, 1739.0], [1097.0, 1783.0], [1008.0, 1783.0]], ('1,00', 0.9951938390731812)], [[[1399.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1399.0, 1787.0]], ('417,24', 0.9992750287055969)], [[[1653.0, 1731.0], [1788.0, 1741.0], [1784.0, 1792.0], [1649.0, 1782.0]], ('417,24', 0.9979867339134216)], [[[1152.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1152.0, 1783.0]], ('each', 0.9987009763717651)], [[[1916.0, 1739.0], [2001.0, 1739.0], [2001.0, 1783.0], [1916.0, 1783.0]], ('10%', 0.9996688961982727)], [[[2127.0, 1736.0], [2256.0, 1736.0], [2256.0, 1787.0], [2127.0, 1787.0]], ('458,96', 0.9913673400878906)], [[[255.0, 1747.0], [284.0, 1747.0], [284.0, 1780.0], [255.0, 1780.0]], ('3.', 0.9913963675498962)], [[[351.0, 1776.0], [820.0, 1783.0], [819.0, 1831.0], [350.0, 1823.0]], (' Kashkoli Oriental Area Rug', 0.9816626310348511)], [[[354.0, 1827.0], [831.0, 1827.0], [831.0, 1864.0], [354.0, 1864.0]], ('Handmade Wool Carpet 6x8', 0.9667584896087646)], [[[192.0, 1962.0], [491.0, 1962.0], [491.0, 2010.0], [192.0, 2010.0]], ('SUMMARY', 0.9949478507041931)], [[[954.0, 2078.0], [1123.0, 2087.0], [1121.0, 2139.0], [952.0, 2130.0]], ('VAT [%]', 0.9988380670547485)], [[[1776.0, 2074.0], [1874.0, 2085.0], [1868.0, 2139.0], [1770.0, 2129.0]], ('VAT', 0.9557650089263916)], [[[1388.0, 2090.0], [1588.0, 2090.0], [1588.0, 2130.0], [1388.0, 2130.0]], ('Net worth', 0.9820273518562317)], [[[2023.0, 2087.0], [2256.0, 2087.0], [2256.0, 2127.0], [2023.0, 2127.0]], ('Gross worth', 0.9995735287666321)], [[[997.0, 2178.0], [1082.0, 2178.0], [1082.0, 2222.0], [997.0, 2222.0]], ('10%', 0.9996705055236816)], [[[1458.0, 2174.0], [1591.0, 2174.0], [1591.0, 2225.0], [1458.0, 2225.0]], ('981,89', 0.9991222023963928)], [[[1754.0, 2174.0], [1868.0, 2174.0], [1868.0, 2225.0], [1754.0, 2225.0]], ('98,19', 0.9996291995048523)], [[[2101.0, 2174.0], [2267.0, 2174.0], [2267.0, 2225.0], [2101.0, 2225.0]], ('1 080,08', 0.9719847440719604)], [[[749.0, 2269.0], [853.0, 2269.0], [853.0, 2309.0], [749.0, 2309.0]], ('Total', 0.999843418598175)], [[[1414.0, 2269.0], [1584.0, 2269.0], [1584.0, 2309.0], [1414.0, 2309.0]], ('$ 981,89', 0.9439657926559448)], [[[1717.0, 2269.0], [1864.0, 2269.0], [1864.0, 2309.0], [1717.0, 2309.0]], ('$98,19', 0.9969176650047302)], [[[2053.0, 2269.0], [2259.0, 2269.0], [2259.0, 2309.0], [2053.0, 2309.0]], ('$1080,08', 0.9847711324691772)]]	{'header': {'invoice_no': '62312762', 'invoice_date': '03/08/2019', 'seller': 'Lambert-Murphy 67341 Kennedy Brook Apt. 901 Jonesmouth, HI 64478', 'client': 'Dalton-Pope 49580 Keith Ferry Apt. 170 Port Johnburgh, NJ 58435', 'seller_tax_id': '983-75-3868', 'client_tax_id': '903-86-9811', 'iban': 'GB02NXHR06400921861370'}, 'items': [{'item_desc': 'Fluffy Floor Mat Anti-Skid Shaggy Area Rugs Dining Living Room Carpet Home Decor', 'item_qty': '5,00', 'item_net_price': '3,89', 'item_net_worth': '19,45', 'item_vat': '10%', 'item_gross_worth': '21,40'}, {'item_desc': 'Handmade Tribal Geometric Design 4X6 Indo-Gabbeh Oriental Rug Kids Room Carpet', 'item_qty': '2,00', 'item_net_price': '272,60', 'item_net_worth': '545,20', 'item_vat': '10%', 'item_gross_worth': '599,72'}, {'item_desc': 'Striped Contemporary Gabbeh Kashkoli Oriental Area Rug Handmade Wool Carpet 6x8', 'item_qty': '1,00', 'item_net_price': '417,24', 'item_net_worth': '417,24', 'item_vat': '10%', 'item_gross_worth': '458,96'}], 'summary': {'total_net_worth': '$ 981,89', 'total_vat': '$98,19', 'total_gross_worth': '$1080,08'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [805.0, 110.0], [805.0, 161.0], [196.0, 161.0]], ('Invoice no: 35050964', 0.9960938692092896)], [[[196.0, 212.0], [521.0, 212.0], [521.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9986264109611511)], [[[1204.0, 216.0], [1466.0, 216.0], [1466.0, 256.0], [1204.0, 256.0]], ('11/18/2011', 0.9998245239257812)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[1240.0, 661.0], [1429.0, 661.0], [1429.0, 720.0], [1240.0, 720.0]], ('Client:', 0.9994950890541077)], [[[204.0, 752.0], [473.0, 761.0], [472.0, 812.0], [202.0, 803.0]], ('Soto-Carson', 0.9997661709785461)], [[[1248.0, 760.0], [1636.0, 760.0], [1636.0, 808.0], [1248.0, 808.0]], ('Wong, Le and Hall', 0.9986459016799927)], [[[203.0, 807.0], [650.0, 811.0], [650.0, 863.0], [203.0, 859.0]], ('55690 Ashley Bridge', 0.999098539352417)], [[[1252.0, 811.0], [1802.0, 811.0], [1802.0, 862.0], [1252.0, 862.0]], ('2113 Snyder Key Apt. 223', 0.9996945261955261)], [[[210.0, 866.0], [668.0, 866.0], [668.0, 914.0], [210.0, 914.0]], ('Claudiafurt, CT 32907', 0.9996417760848999)], [[[1248.0, 866.0], [1765.0, 866.0], [1765.0, 914.0], [1248.0, 914.0]], ('Hensleyburgh, FL 21218', 0.9900385141372681)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 918-81-3436', 0.9880836606025696)], [[[1248.0, 972.0], [1680.0, 972.0], [1680.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 948-88-4170', 0.9934273958206177)], [[[210.0, 1030.0], [934.0, 1030.0], [934.0, 1067.0], [210.0, 1067.0]], ('IBAN: GB06RRZT29931514103942', 0.9862027764320374)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1654.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1654.0, 1443.0]], ('150,76', 0.9996755719184875)], [[[1913.0, 1384.0], [2003.0, 1394.0], [1997.0, 1448.0], [1907.0, 1438.0]], ('10%', 0.9998863339424133)], [[[2122.0, 1384.0], [2261.0, 1393.0], [2257.0, 1444.0], [2118.0, 1435.0]], ('165,84', 0.9985179901123047)], [[[358.0, 1400.0], [886.0, 1400.0], [886.0, 1436.0], [358.0, 1436.0]], ('Sperry Top-Sider Boys Toddlers', 0.9811562895774841)], [[[1008.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1008.0, 1440.0]], ('4,00', 0.9907870292663574)], [[[1145.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1145.0, 1440.0]], (' each', 0.913709819316864)], [[[1425.0, 1396.0], [1528.0, 1396.0], [1528.0, 1436.0], [1425.0, 1436.0]], ('37,69', 0.9534460306167603)], [[[255.0, 1407.0], [281.0, 1407.0], [281.0, 1432.0], [255.0, 1432.0]], ('1', 0.998282790184021)], [[[358.0, 1443.0], [897.0, 1443.0], [897.0, 1480.0], [358.0, 1480.0]], ('Lace Tie Boat Shoes Brown 13M', 0.9730847477912903)], [[[354.0, 1480.0], [436.0, 1480.0], [436.0, 1520.0], [354.0, 1520.0]], ('New', 0.998950719833374)], [[[355.0, 1564.0], [827.0, 1568.0], [827.0, 1608.0], [354.0, 1604.0]], ('Deer Stag Kids Landry Boys', 0.9948657751083374)], [[[1916.0, 1555.0], [2002.0, 1565.0], [1997.0, 1613.0], [1911.0, 1603.0]], ('10%', 0.9949302673339844)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[1008.0, 1568.0], [1097.0, 1568.0], [1097.0, 1608.0], [1008.0, 1608.0]], ('3,00', 0.9977584481239319)], [[[1148.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1148.0, 1611.0]], ('each', 0.9977310299873352)], [[[1425.0, 1568.0], [1528.0, 1568.0], [1528.0, 1608.0], [1425.0, 1608.0]], ('28,99', 0.9996007680892944)], [[[1680.0, 1568.0], [1783.0, 1568.0], [1783.0, 1615.0], [1680.0, 1615.0]], ('86,97', 0.9998332262039185)], [[[2152.0, 1568.0], [2256.0, 1568.0], [2256.0, 1615.0], [2152.0, 1615.0]], ('95,67', 0.9998149871826172)], [[[354.0, 1608.0], [838.0, 1608.0], [838.0, 1655.0], [354.0, 1655.0]], ('Lace Up Sneakers Gray/Blue', 0.999228835105896)], [[[358.0, 1655.0], [465.0, 1655.0], [465.0, 1696.0], [358.0, 1696.0]], ('Size 6', 0.9992550015449524)], [[[351.0, 1739.0], [845.0, 1739.0], [845.0, 1787.0], [351.0, 1787.0]], (" Durango Lil' Little Kid Saddle", 0.9694701433181763)], [[[1004.0, 1739.0], [1097.0, 1739.0], [1097.0, 1783.0], [1004.0, 1783.0]], ('1,00', 0.9923063516616821)], [[[1148.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1148.0, 1783.0]], (' each', 0.9113703966140747)], [[[1421.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1421.0, 1787.0]], ('68,00', 0.9978877902030945)], [[[1676.0, 1736.0], [1787.0, 1736.0], [1787.0, 1787.0], [1676.0, 1787.0]], ('68,00', 0.9985224008560181)], [[[1912.0, 1739.0], [2005.0, 1739.0], [2005.0, 1783.0], [1912.0, 1783.0]], ('10%', 0.9955744743347168)], [[[2145.0, 1736.0], [2256.0, 1736.0], [2256.0, 1787.0], [2145.0, 1787.0]], ('74,80', 0.9992594718933105)], [[[251.0, 1747.0], [284.0, 1747.0], [284.0, 1776.0], [251.0, 1776.0]], ('3.', 0.9897561073303223)], [[[358.0, 1787.0], [845.0, 1787.0], [845.0, 1823.0], [358.0, 1823.0]], ('Western Casual Western Tan', 0.9762389659881592)], [[[358.0, 1823.0], [617.0, 1823.0], [617.0, 1864.0], [358.0, 1864.0]], ('Boys - Size 2 M', 0.9822843074798584)], [[[1421.0, 1907.0], [1532.0, 1907.0], [1532.0, 1959.0], [1421.0, 1959.0]], ('19,99', 0.9996346235275269)], [[[1672.0, 1907.0], [1787.0, 1907.0], [1787.0, 1959.0], [1672.0, 1959.0]], ('59,97', 0.9995858073234558)], [[[1913.0, 1899.0], [2007.0, 1909.0], [2000.0, 1964.0], [1907.0, 1954.0]], ('10%', 0.9998664855957031)], [[[351.0, 1911.0], [842.0, 1915.0], [842.0, 1955.0], [351.0, 1951.0]], (' Lotto Youth Boys Fuerzapura', 0.9828609228134155)], [[[1008.0, 1911.0], [1097.0, 1911.0], [1097.0, 1955.0], [1008.0, 1955.0]], ('3,00', 0.9963178634643555)], [[[1152.0, 1915.0], [1248.0, 1915.0], [1248.0, 1959.0], [1152.0, 1959.0]], ('each', 0.9984596967697144)], [[[2145.0, 1907.0], [2256.0, 1907.0], [2256.0, 1959.0], [2145.0, 1959.0]], ('65,97', 0.9995933771133423)], [[[249.0, 1931.0], [266.0, 1915.0], [286.0, 1935.0], [270.0, 1951.0]], ('4', 0.7881230115890503)], [[[354.0, 1948.0], [857.0, 1948.0], [857.0, 1995.0], [354.0, 1995.0]], ('L500 Jr Soccer Cleats Size 2.5', 0.9963579177856445)], [[[355.0, 1988.0], [753.0, 1992.0], [753.0, 2039.0], [354.0, 2035.0]], ('White Blue M6147 2.5Y', 0.9928160905838013)], [[[354.0, 2083.0], [783.0, 2083.0], [783.0, 2130.0], [354.0, 2130.0]], ('Kids Jordan 7 Retro Sz 2y', 0.9997999668121338)], [[[1004.0, 2083.0], [1093.0, 2083.0], [1093.0, 2127.0], [1004.0, 2127.0]], ('1,00', 0.995281994342804)], [[[1148.0, 2087.0], [1252.0, 2087.0], [1252.0, 2134.0], [1148.0, 2134.0]], ('each', 0.9719215035438538)], [[[1421.0, 2079.0], [1532.0, 2079.0], [1532.0, 2130.0], [1421.0, 2130.0]], ('72,00', 0.9995381236076355)], [[[1672.0, 2079.0], [1787.0, 2079.0], [1787.0, 2130.0], [1672.0, 2130.0]], ('72,00', 0.9993531107902527)], [[[1909.0, 2079.0], [2005.0, 2079.0], [2005.0, 2134.0], [1909.0, 2134.0]], ('10%', 0.9999117851257324)], [[[2145.0, 2079.0], [2256.0, 2079.0], [2256.0, 2130.0], [2145.0, 2130.0]], ('79,20', 0.9989832639694214)], [[[251.0, 2094.0], [284.0, 2094.0], [284.0, 2123.0], [251.0, 2123.0]], ('5.', 0.9961538910865784)], [[[354.0, 2171.0], [761.0, 2171.0], [761.0, 2218.0], [354.0, 2218.0]], ("Saucony Boys' Ride ISO", 0.9912744164466858)], [[[1004.0, 2171.0], [1093.0, 2171.0], [1093.0, 2214.0], [1004.0, 2214.0]], ('5,00', 0.9913672804832458)], [[[1421.0, 2167.0], [1532.0, 2167.0], [1532.0, 2218.0], [1421.0, 2218.0]], ('27,99', 0.9996272921562195)], [[[1654.0, 2167.0], [1783.0, 2167.0], [1783.0, 2218.0], [1654.0, 2218.0]], ('139,95', 0.9997327327728271)], [[[1909.0, 2162.0], [2007.0, 2172.0], [2001.0, 2223.0], [1903.0, 2213.0]], ('10%', 0.9999210238456726)], [[[1152.0, 2174.0], [1244.0, 2174.0], [1244.0, 2218.0], [1152.0, 2218.0]], ('each', 0.9991052746772766)], [[[2127.0, 2167.0], [2256.0, 2167.0], [2256.0, 2218.0], [2127.0, 2218.0]], ('153,94', 0.9997787475585938)], [[[251.0, 2178.0], [284.0, 2178.0], [284.0, 2211.0], [251.0, 2211.0]], ('6.', 0.9905968904495239)], [[[358.0, 2218.0], [886.0, 2218.0], [886.0, 2255.0], [358.0, 2255.0]], ('Sneaker, White/Blue/Vizi Red, 7', 0.9933315515518188)], [[[354.0, 2258.0], [605.0, 2258.0], [605.0, 2298.0], [354.0, 2298.0]], ('M US Little Kid', 0.995915949344635)], [[[351.0, 2342.0], [724.0, 2342.0], [724.0, 2390.0], [351.0, 2390.0]], ('Native Charley White', 0.9984776377677917)], [[[1008.0, 2346.0], [1093.0, 2346.0], [1093.0, 2390.0], [1008.0, 2390.0]], ('2,00', 0.9879387021064758)], [[[1148.0, 2350.0], [1248.0, 2350.0], [1248.0, 2390.0], [1148.0, 2390.0]], ('each', 0.9981814026832581)], [[[1425.0, 2346.0], [1528.0, 2346.0], [1528.0, 2386.0], [1425.0, 2386.0]], ('13,00', 0.9874923825263977)], [[[1672.0, 2342.0], [1787.0, 2342.0], [1787.0, 2393.0], [1672.0, 2393.0]], ('26,00', 0.9989102482795715)], [[[1912.0, 2346.0], [2001.0, 2346.0], [2001.0, 2390.0], [1912.0, 2390.0]], ('10%', 0.9978579878807068)], [[[2145.0, 2342.0], [2256.0, 2342.0], [2256.0, 2393.0], [2145.0, 2393.0]], ('28,60', 0.9990867376327515)], [[[354.0, 2386.0], [794.0, 2386.0], [794.0, 2434.0], [354.0, 2434.0]], ('Sandals~Size Infant/Childe', 0.9692614674568176)], [[[354.0, 2430.0], [786.0, 2430.0], [786.0, 2478.0], [354.0, 2478.0]], ('6~Boys/Girls~Very Good', 0.9974356293678284)], [[[356.0, 2466.0], [525.0, 2474.0], [523.0, 2515.0], [354.0, 2506.0]], ('Condition', 0.9818006157875061)], [[[192.0, 2613.0], [491.0, 2613.0], [491.0, 2660.0], [192.0, 2660.0]], ('SUMMARY', 0.9946064352989197)], [[[954.0, 2725.0], [1123.0, 2734.0], [1121.0, 2785.0], [952.0, 2776.0]], ('VAT [%]', 0.9982810020446777)], [[[1388.0, 2737.0], [1588.0, 2737.0], [1588.0, 2777.0], [1388.0, 2777.0]], ('Net worth', 0.9613118767738342)], [[[1776.0, 2733.0], [1868.0, 2733.0], [1868.0, 2777.0], [1776.0, 2777.0]], ('VAT', 0.6620482206344604)], [[[2027.0, 2737.0], [2259.0, 2737.0], [2259.0, 2777.0], [2027.0, 2777.0]], ('Gross worth', 0.9999040961265564)], [[[997.0, 2825.0], [1082.0, 2825.0], [1082.0, 2869.0], [997.0, 2869.0]], ('10%', 0.9996994137763977)], [[[1457.0, 2816.0], [1592.0, 2826.0], [1589.0, 2877.0], [1453.0, 2867.0]], ('603,65', 0.997108519077301)], [[[1754.0, 2821.0], [1868.0, 2821.0], [1868.0, 2872.0], [1754.0, 2872.0]], ('60,37', 0.9988983869552612)], [[[2134.0, 2821.0], [2263.0, 2821.0], [2263.0, 2872.0], [2134.0, 2872.0]], ('664,02', 0.9994034171104431)], [[[746.0, 2912.0], [857.0, 2912.0], [857.0, 2964.0], [746.0, 2964.0]], ('Total', 0.9998226165771484)], [[[1713.0, 2912.0], [1864.0, 2912.0], [1864.0, 2964.0], [1713.0, 2964.0]], ('$ 60,37', 0.9662879705429077)], [[[2080.0, 2904.0], [2260.0, 2913.0], [2258.0, 2964.0], [2078.0, 2955.0]], ('$ 664,02', 0.8933645486831665)], [[[1414.0, 2916.0], [1588.0, 2916.0], [1588.0, 2956.0], [1414.0, 2956.0]], ('$ 603,65', 0.988694429397583)]]	{'header': {'invoice_no': '35050964', 'invoice_date': '11/18/2011', 'seller': 'Soto-Carson 55690 Ashley Bridge Claudiafurt, CT 32907', 'client': 'Wong, Le and Hall 2113 Snyder Key Apt. 223 Hensleyburgh, FL 21218', 'seller_tax_id': '918-81-3436', 'client_tax_id': '948-88-4170', 'iban': 'GB06RRZI29931514103942'}, 'items': [{'item_desc': 'Sperry Top-Sider Boys Toddlers Lace Tie Boat Shoes Brown 13M New', 'item_qty': '4,00', 'item_net_price': '37,69', 'item_net_worth': '150,76', 'item_vat': '10%', 'item_gross_worth': '165,84'}, {'item_desc': 'Deer Stag Kids Landry Boys Lace Up Sneakers Gray/Blue Size 6', 'item_qty': '3,00', 'item_net_price': '28,99', 'item_net_worth': '86,97', 'item_vat': '10%', 'item_gross_worth': '95,67'}, {'item_desc': 'Durango Lill Little Kid Saddle Western Casual Western Tan Boys - Size 2 M', 'item_qty': '1,00', 'item_net_price': '68,00', 'item_net_worth': '68,00', 'item_vat': '10%', 'item_gross_worth': '74,80'}, {'item_desc': 'Lotto Youth Boys Fuerzapura L500 Jr Soccer Cleats Size 2.5 White Blue M6147 2.5Y', 'item_qty': '3,00', 'item_net_price': '19,99', 'item_net_worth': '59,97', 'item_vat': '10%', 'item_gross_worth': '65,97'}, {'item_desc': 'Kids Jordan 7 Retro Sz 2y', 'item_qty': '1,00', 'item_net_price': '72,00', 'item_net_worth': '72,00', 'item_vat': '10%', 'item_gross_worth': '79,20'}, {'item_desc': "Saucony Boys' Ride ISO Sneaker, White/Blue/Vizi Red, 7 M US Little Kid", 'item_qty': '5,00', 'item_net_price': '27,99', 'item_net_worth': '139,95', 'item_vat': '10%', 'item_gross_worth': '153,94'}, {'item_desc': 'Native Charley White Sandals-Size Infant/Child 6-Boys/Girls-Very Good Condition', 'item_qty': '2,00', 'item_net_price': '13,00', 'item_net_worth': '26,00', 'item_vat': '10%', 'item_gross_worth': '28,60'}], 'summary': {'total_net_worth': '$ 603,65', 'total_vat': '$60,37', 'total_gross_worth': '$ 664,02'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [805.0, 110.0], [805.0, 161.0], [196.0, 161.0]], ('Invoice no: 77256632', 0.9833900332450867)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:.', 0.9722113013267517)], [[[1200.0, 216.0], [1462.0, 216.0], [1462.0, 256.0], [1200.0, 256.0]], ('05/05/2013', 0.9998111724853516)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[1237.0, 658.0], [1432.0, 658.0], [1432.0, 720.0], [1237.0, 720.0]], ('Client:', 0.9994863867759705)], [[[205.0, 748.0], [455.0, 761.0], [452.0, 812.0], [202.0, 799.0]], ('Cox-Ortega', 0.9996137619018555)], [[[1248.0, 756.0], [1436.0, 756.0], [1436.0, 808.0], [1248.0, 808.0]], ('Giles Inc', 0.9557418823242188)], [[[203.0, 807.0], [860.0, 811.0], [860.0, 862.0], [203.0, 859.0]], ('52235 Rivera Ridges Suite 139', 0.9771835803985596)], [[[1248.0, 811.0], [1857.0, 811.0], [1857.0, 859.0], [1248.0, 859.0]], ('7847 Rosales Lakes Apt. 767', 0.9993582963943481)], [[[207.0, 866.0], [849.0, 866.0], [849.0, 914.0], [207.0, 914.0]], ('Port Alexanderstad, NH 49836', 0.9955969452857971)], [[[1244.0, 866.0], [1768.0, 866.0], [1768.0, 914.0], [1244.0, 914.0]], ('West Loristad, WY 38537', 0.9619854688644409)], [[[207.0, 972.0], [635.0, 972.0], [635.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 922-92-9761', 0.9845085144042969)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 921-82-4335', 0.9858670234680176)], [[[207.0, 1023.0], [938.0, 1023.0], [938.0, 1071.0], [207.0, 1071.0]], ('IBAN: GB87GPEX70633167293017', 0.9814633131027222)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1344.0, 1261.0], [1532.0, 1261.0], [1532.0, 1312.0], [1344.0, 1312.0]], ('Net price', 0.9999423623085022)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2130.0, 1305.0], [2259.0, 1305.0], [2259.0, 1356.0], [2130.0, 1356.0]], ('worth', 0.9997998476028442)], [[[351.0, 1388.0], [835.0, 1396.0], [834.0, 1444.0], [350.0, 1436.0]], ('Die with Zero by Bill Perkins.', 0.9622620344161987)], [[[1008.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1008.0, 1440.0]], ('4,00', 0.9907870292663574)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[1444.0, 1396.0], [1528.0, 1396.0], [1528.0, 1440.0], [1444.0, 1440.0]], ('3,49', 0.9821316003799438)], [[[1676.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1676.0, 1443.0]], ('13,96', 0.999871551990509)], [[[1916.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1916.0, 1440.0]], ('10%', 0.9995570182800293)], [[[2149.0, 1392.0], [2259.0, 1392.0], [2259.0, 1443.0], [2149.0, 1443.0]], ('15,36', 0.9996124505996704)], [[[258.0, 1407.0], [277.0, 1407.0], [277.0, 1429.0], [258.0, 1429.0]], ('1', 0.9433960914611816)], [[[355.0, 1436.0], [599.0, 1444.0], [597.0, 1484.0], [354.0, 1476.0]], ("(P'.D,F, 2020)", 0.9177542924880981)], [[[192.0, 1579.0], [491.0, 1579.0], [491.0, 1630.0], [192.0, 1630.0]], ('SUMMARY', 0.9969722628593445)], [[[956.0, 1699.0], [1122.0, 1699.0], [1122.0, 1750.0], [956.0, 1750.0]], ('VAT [%]', 0.999481201171875)], [[[1776.0, 1690.0], [1874.0, 1701.0], [1868.0, 1756.0], [1770.0, 1745.0]], ('VAT', 0.9881295561790466)], [[[1388.0, 1703.0], [1588.0, 1703.0], [1588.0, 1743.0], [1388.0, 1743.0]], ('Net worth', 0.9482071399688721)], [[[2027.0, 1706.0], [2259.0, 1706.0], [2259.0, 1743.0], [2027.0, 1743.0]], ('Gross worth', 0.9978452324867249)], [[[994.0, 1782.0], [1087.0, 1792.0], [1081.0, 1843.0], [988.0, 1832.0]], ('10%', 0.9998087882995605)], [[[1480.0, 1787.0], [1591.0, 1787.0], [1591.0, 1838.0], [1480.0, 1838.0]], ('13,96', 0.9998811483383179)], [[[1776.0, 1787.0], [1868.0, 1787.0], [1868.0, 1842.0], [1776.0, 1842.0]], ('1,40', 0.9994335770606995)], [[[2152.0, 1787.0], [2267.0, 1787.0], [2267.0, 1838.0], [2152.0, 1838.0]], ('15,36', 0.999668300151825)], [[[746.0, 1875.0], [857.0, 1875.0], [857.0, 1926.0], [746.0, 1926.0]], ('Total', 0.9998496770858765)], [[[1436.0, 1882.0], [1588.0, 1882.0], [1588.0, 1922.0], [1436.0, 1922.0]], ('$ 13,96', 0.9527193307876587)], [[[1735.0, 1878.0], [1868.0, 1878.0], [1868.0, 1929.0], [1735.0, 1929.0]], ('$1,40', 0.999747633934021)], [[[2108.0, 1878.0], [2263.0, 1878.0], [2263.0, 1929.0], [2108.0, 1929.0]], ('$ 15,36', 0.943604052066803)]]	{'header': {'invoice_no': '77256632', 'invoice_date': '05/05/2013', 'seller': 'Cox-Ortega 52235 Rivera Ridges Suite 139 Port Alexanderstad, NH 49836', 'client': 'Giles Inc 7847 Rosales Lakes Apt. 767 West Loristad, WY 38537', 'seller_tax_id': '922-92-9761', 'client_tax_id': '921-82-4335', 'iban': 'GB87GPEX70633167293017'}, 'items': [{'item_desc': "Die with Zero by Bill Perkins (P'.D,'F, 2020)", 'item_qty': '4,00', 'item_net_price': '3,49', 'item_net_worth': '13,96', 'item_vat': '10%', 'item_gross_worth': '15,36'}], 'summary': {'total_net_worth': '$ 13,96', 'total_vat': '$ 1,40', 'total_gross_worth': '$15,36'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [801.0, 110.0], [801.0, 161.0], [196.0, 161.0]], ('Invoice no: 95635623', 0.998617947101593)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9990058541297913)], [[[1200.0, 216.0], [1466.0, 216.0], [1466.0, 256.0], [1200.0, 256.0]], ('08/11/2019', 0.9998553395271301)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[1240.0, 661.0], [1429.0, 661.0], [1429.0, 720.0], [1240.0, 720.0]], ('Client:', 0.9994950890541077)], [[[207.0, 760.0], [713.0, 760.0], [713.0, 808.0], [207.0, 808.0]], ('Jones, English and Perry', 0.9788996577262878)], [[[1248.0, 756.0], [1429.0, 756.0], [1429.0, 808.0], [1248.0, 808.0]], ('Diaz Ltd', 0.9950864911079407)], [[[210.0, 811.0], [816.0, 811.0], [816.0, 862.0], [210.0, 862.0]], ('74041 Brian Camp Suite 502', 0.9998088479042053)], [[[1244.0, 807.0], [1636.0, 811.0], [1635.0, 863.0], [1244.0, 859.0]], ('166 David Mission', 0.9796184301376343)], [[[210.0, 866.0], [668.0, 866.0], [668.0, 914.0], [210.0, 914.0]], ('East James, SC 21896', 0.9991427659988403)], [[[1248.0, 866.0], [1794.0, 866.0], [1794.0, 914.0], [1248.0, 914.0]], ('Lake Seanview, NY 94455', 0.9960319399833679)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 916-83-7988', 0.9946108460426331)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 949-70-9351', 0.9914531707763672)], [[[203.0, 1019.0], [949.0, 1027.0], [949.0, 1075.0], [203.0, 1067.0]], ('IBAN: GB76VSKM38236855870683', 0.9807392954826355)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997538924217224)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('5,00', 0.9872055053710938)], [[[1421.0, 1392.0], [1532.0, 1392.0], [1532.0, 1443.0], [1421.0, 1443.0]], ('37,69', 0.9996527433395386)], [[[1654.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1654.0, 1443.0]], ('188,45', 0.9992980360984802)], [[[1917.0, 1387.0], [2003.0, 1397.0], [1997.0, 1448.0], [1911.0, 1438.0]], ('10%', 0.9998499751091003)], [[[2122.0, 1387.0], [2257.0, 1397.0], [2253.0, 1448.0], [2118.0, 1439.0]], ('207,29', 0.9990115165710449)], [[[258.0, 1407.0], [277.0, 1407.0], [277.0, 1429.0], [258.0, 1429.0]], ('1', 0.9433960914611816)], [[[358.0, 1400.0], [886.0, 1400.0], [886.0, 1436.0], [358.0, 1436.0]], ('Sperry Top-Sider Boys Toddlers', 0.9664528369903564)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[358.0, 1443.0], [897.0, 1443.0], [897.0, 1480.0], [358.0, 1480.0]], ('Lace Tie Boat Shoes Brown 13M', 0.9719040393829346)], [[[354.0, 1480.0], [436.0, 1480.0], [436.0, 1520.0], [354.0, 1520.0]], ('New', 0.998950719833374)], [[[351.0, 1560.0], [717.0, 1568.0], [716.0, 1615.0], [350.0, 1608.0]], (' Native Charley White.', 0.953315794467926)], [[[1008.0, 1559.0], [1098.0, 1569.0], [1093.0, 1613.0], [1003.0, 1603.0]], ('3,00', 0.9987548589706421)], [[[1425.0, 1555.0], [1534.0, 1566.0], [1529.0, 1617.0], [1420.0, 1606.0]], ('13,00', 0.9989979863166809)], [[[1676.0, 1555.0], [1788.0, 1565.0], [1783.0, 1620.0], [1671.0, 1610.0]], ('39,00', 0.997972309589386)], [[[1913.0, 1555.0], [2007.0, 1566.0], [2001.0, 1617.0], [1907.0, 1606.0]], ('10%', 0.9992581009864807)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[1152.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1152.0, 1611.0]], ('each', 0.9978877305984497)], [[[2152.0, 1564.0], [2256.0, 1564.0], [2256.0, 1611.0], [2152.0, 1611.0]], ('42,90', 0.999707818031311)], [[[354.0, 1608.0], [794.0, 1608.0], [794.0, 1655.0], [354.0, 1655.0]], ('Sandals~Size Infant/Child', 0.9997516870498657)], [[[358.0, 1655.0], [783.0, 1655.0], [783.0, 1692.0], [358.0, 1692.0]], ('6~Boys/Girls~Very Good', 0.9971904754638672)], [[[352.0, 1688.0], [525.0, 1696.0], [523.0, 1736.0], [350.0, 1728.0]], ('Condition', 0.9994418025016785)], [[[1437.0, 1771.0], [1534.0, 1781.0], [1528.0, 1836.0], [1431.0, 1825.0]], ('9,99', 0.9988973140716553)], [[[1672.0, 1776.0], [1787.0, 1776.0], [1787.0, 1827.0], [1672.0, 1827.0]], ('29,97', 0.9996721148490906)], [[[1909.0, 1771.0], [2007.0, 1781.0], [2001.0, 1832.0], [1903.0, 1822.0]], ('10%', 0.9998598098754883)], [[[2145.0, 1767.0], [2257.0, 1777.0], [2252.0, 1832.0], [2140.0, 1822.0]], ('32,97', 0.9997843503952026)], [[[354.0, 1787.0], [882.0, 1787.0], [882.0, 1823.0], [354.0, 1823.0]], ('Jordan Sneakers Size 3.5 Youth', 0.9826315641403198)], [[[1008.0, 1780.0], [1097.0, 1780.0], [1097.0, 1823.0], [1008.0, 1823.0]], ('3,00', 0.9937039613723755)], [[[1141.0, 1780.0], [1252.0, 1780.0], [1252.0, 1831.0], [1141.0, 1831.0]], (' each', 0.9462841749191284)], [[[251.0, 1791.0], [284.0, 1791.0], [284.0, 1820.0], [251.0, 1820.0]], ('3.', 0.9942091107368469)], [[[354.0, 1827.0], [591.0, 1827.0], [591.0, 1864.0], [354.0, 1864.0]], ('Red And Blue', 0.9820303916931152)], [[[351.0, 1907.0], [882.0, 1907.0], [882.0, 1955.0], [351.0, 1955.0]], (' PUMA Boys Youth Universal FG', 0.9925808310508728)], [[[1008.0, 1911.0], [1097.0, 1911.0], [1097.0, 1955.0], [1008.0, 1955.0]], ('1,00', 0.9954820275306702)], [[[1421.0, 1907.0], [1532.0, 1907.0], [1532.0, 1959.0], [1421.0, 1959.0]], ('19,99', 0.9996346235275269)], [[[1672.0, 1907.0], [1787.0, 1907.0], [1787.0, 1959.0], [1672.0, 1959.0]], ('19,99', 0.9992698431015015)], [[[1909.0, 1902.0], [2007.0, 1913.0], [2001.0, 1964.0], [1903.0, 1953.0]], ('10%', 0.9998908042907715)], [[[1152.0, 1915.0], [1248.0, 1915.0], [1248.0, 1959.0], [1152.0, 1959.0]], ('each', 0.9984596967697144)], [[[2145.0, 1907.0], [2259.0, 1907.0], [2259.0, 1959.0], [2145.0, 1959.0]], ('21,99', 0.9995745420455933)], [[[258.0, 1926.0], [281.0, 1926.0], [281.0, 1944.0], [258.0, 1944.0]], ('4', 0.9862528443336487)], [[[354.0, 1959.0], [879.0, 1959.0], [879.0, 1995.0], [354.0, 1995.0]], ('Jr Soccer Cleats 2.5 White High', 0.9827339053153992)], [[[354.0, 1999.0], [635.0, 1999.0], [635.0, 2035.0], [354.0, 2035.0]], ('Red NEW Futbol', 0.9416008591651917)], [[[1147.0, 2078.0], [1249.0, 2088.0], [1245.0, 2131.0], [1143.0, 2122.0]], ('each', 0.9984338283538818)], [[[1421.0, 2079.0], [1532.0, 2079.0], [1532.0, 2130.0], [1421.0, 2130.0]], ('20,99', 0.9997119903564453)], [[[1676.0, 2079.0], [1787.0, 2079.0], [1787.0, 2130.0], [1676.0, 2130.0]], ('83,96', 0.999770998954773)], [[[1909.0, 2070.0], [2007.0, 2081.0], [2000.0, 2136.0], [1903.0, 2125.0]], ('10%', 0.9998958706855774)], [[[351.0, 2083.0], [875.0, 2083.0], [875.0, 2130.0], [351.0, 2130.0]], ('NWT The Childrens Place Boys', 0.993581235408783)], [[[1008.0, 2083.0], [1093.0, 2083.0], [1093.0, 2127.0], [1008.0, 2127.0]], ('4,00', 0.9834433794021606)], [[[2145.0, 2079.0], [2256.0, 2079.0], [2256.0, 2130.0], [2145.0, 2130.0]], ('92,36', 0.999895453453064)], [[[251.0, 2094.0], [284.0, 2094.0], [284.0, 2123.0], [251.0, 2123.0]], ('5.', 0.9961538910865784)], [[[358.0, 2130.0], [705.0, 2130.0], [705.0, 2167.0], [358.0, 2167.0]], ('Tan Lace Up Boots 4', 0.9841681122779846)], [[[192.0, 2266.0], [491.0, 2266.0], [491.0, 2317.0], [192.0, 2317.0]], ('SUMMARY', 0.996406078338623)], [[[1772.0, 2377.0], [1874.0, 2388.0], [1868.0, 2442.0], [1767.0, 2432.0]], ('VAT', 0.9065364003181458)], [[[956.0, 2390.0], [1122.0, 2390.0], [1122.0, 2441.0], [956.0, 2441.0]], ('VAT [%]', 0.9994381666183472)], [[[1392.0, 2393.0], [1588.0, 2393.0], [1588.0, 2434.0], [1392.0, 2434.0]], ('Net worth', 0.9997095465660095)], [[[2027.0, 2393.0], [2259.0, 2393.0], [2259.0, 2434.0], [2027.0, 2434.0]], ('Gross worth', 0.9995578527450562)], [[[997.0, 2481.0], [1082.0, 2481.0], [1082.0, 2525.0], [997.0, 2525.0]], ('10%', 0.9996994137763977)], [[[1462.0, 2478.0], [1591.0, 2478.0], [1591.0, 2529.0], [1462.0, 2529.0]], ('361,37', 0.9995489120483398)], [[[1757.0, 2478.0], [1868.0, 2478.0], [1868.0, 2529.0], [1757.0, 2529.0]], ('36,14', 0.9998449087142944)], [[[2134.0, 2478.0], [2263.0, 2478.0], [2263.0, 2529.0], [2134.0, 2529.0]], ('397,51', 0.998848021030426)], [[[749.0, 2573.0], [853.0, 2573.0], [853.0, 2613.0], [749.0, 2613.0]], ('Total', 0.9998862147331238)], [[[1414.0, 2573.0], [1584.0, 2573.0], [1584.0, 2613.0], [1414.0, 2613.0]], ('$ 361,37', 0.9895074367523193)], [[[1717.0, 2573.0], [1864.0, 2573.0], [1864.0, 2613.0], [1717.0, 2613.0]], ('$36,14', 0.992816150188446)], [[[2086.0, 2573.0], [2259.0, 2573.0], [2259.0, 2613.0], [2086.0, 2613.0]], ('$ 397,51', 0.9587393999099731)]]	{'header': {'invoice_no': '95635623', 'invoice_date': '08/11/2019', 'seller': 'Jones, English and Perry 74041 Brian Camp Suite 502 East James, SC 21896', 'client': 'Diaz Ltd 166 David Mission Lake Seanview, NY 94455', 'seller_tax_id': '916-83-7988', 'client_tax_id': '949-70-9351', 'iban': 'GB76V5KM38236855870683'}, 'items': [{'item_desc': 'Sperry Top-Sider Boys Toddlers Lace Tie Boat Shoes Brown 13M New', 'item_qty': '5,00', 'item_net_price': '37,69', 'item_net_worth': '188,45', 'item_vat': '10%', 'item_gross_worth': '207,29'}, {'item_desc': 'Native Charley White Sandals-Size Infant/Child 6-Boys/Girls-Very Good Condition', 'item_qty': '3,00', 'item_net_price': '13,00', 'item_net_worth': '39,00', 'item_vat': '10%', 'item_gross_worth': '42,90'}, {'item_desc': 'Jordan Sneakers Size 3.5 Youth Red And Blue', 'item_qty': '3,00', 'item_net_price': '9,99', 'item_net_worth': '29,97', 'item_vat': '10%', 'item_gross_worth': '32,97'}, {'item_desc': 'PUMA Boys Youth Universal FG Jr Soccer Cleats 2.5 White High Red NEW Futbol', 'item_qty': '1,00', 'item_net_price': '19,99', 'item_net_worth': '19,99', 'item_vat': '10%', 'item_gross_worth': '21,99'}, {'item_desc': 'NWT The Childrens Place Boys Tan Lace Up Boots 4', 'item_qty': '4,00', 'item_net_price': '20,99', 'item_net_worth': '83,96', 'item_vat': '10%', 'item_gross_worth': '92,36'}], 'summary': {'total_net_worth': '$ 361,37', 'total_vat': '$ 36,14', 'total_gross_worth': '$ 397,51'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [801.0, 110.0], [801.0, 161.0], [196.0, 161.0]], ('Invoice no: 83347787', 0.9967791438102722)], [[[196.0, 212.0], [521.0, 212.0], [521.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9978883862495422)], [[[1200.0, 216.0], [1462.0, 216.0], [1462.0, 256.0], [1200.0, 256.0]], ('06/05/2013', 0.999770998954773)], [[[1239.0, 653.0], [1426.0, 662.0], [1423.0, 724.0], [1236.0, 715.0]], ('Client:', 0.9993823170661926)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[207.0, 756.0], [853.0, 756.0], [853.0, 804.0], [207.0, 804.0]], ('Williams, Coleman and Parrish', 0.983728289604187)], [[[1245.0, 756.0], [1569.0, 760.0], [1569.0, 811.0], [1244.0, 807.0]], ('Lyons-Manning', 0.9996058344841003)], [[[210.0, 811.0], [886.0, 811.0], [886.0, 859.0], [210.0, 859.0]], ('716 Johnson Mountain Suite 119.', 0.9745983481407166)], [[[1244.0, 807.0], [1658.0, 811.0], [1657.0, 863.0], [1244.0, 859.0]], ('364 Melissa Brooks', 0.9951752424240112)], [[[210.0, 866.0], [661.0, 866.0], [661.0, 914.0], [210.0, 914.0]], ('South Lisa, CT 42270', 0.9994276762008667)], [[[1244.0, 866.0], [1735.0, 866.0], [1735.0, 914.0], [1244.0, 914.0]], ('Veronicaland, IL 74914', 0.9931701421737671)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 953-87-3893', 0.9641581177711487)], [[[1248.0, 972.0], [1680.0, 972.0], [1680.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 952-91-0003', 0.9940622448921204)], [[[210.0, 1027.0], [938.0, 1027.0], [938.0, 1063.0], [210.0, 1063.0]], ('IBAN: GB39BPFW56068121674289', 0.9834288954734802)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1837.0, 1256.0], [2006.0, 1265.0], [2003.0, 1316.0], [1834.0, 1307.0]], ('VAT [%]', 0.999139666557312)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1440.0, 1389.0], [1532.0, 1389.0], [1532.0, 1443.0], [1440.0, 1443.0]], ('4,47', 0.9987598061561584)], [[[1672.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1672.0, 1443.0]], ('17,88', 0.9981980323791504)], [[[1913.0, 1384.0], [2003.0, 1394.0], [1997.0, 1448.0], [1907.0, 1438.0]], ('10%', 0.9998863339424133)], [[[354.0, 1400.0], [761.0, 1400.0], [761.0, 1436.0], [354.0, 1436.0]], ('Women Spaghetti Strap', 0.9810616374015808)], [[[1008.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1008.0, 1440.0]], ('4,00', 0.9907870292663574)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[2145.0, 1392.0], [2256.0, 1392.0], [2256.0, 1443.0], [2145.0, 1443.0]], ('19,67', 0.999708354473114)], [[[258.0, 1407.0], [277.0, 1407.0], [277.0, 1429.0], [258.0, 1429.0]], ('1', 0.9433960914611816)], [[[354.0, 1436.0], [879.0, 1436.0], [879.0, 1484.0], [354.0, 1484.0]], ('Bodycon Mini Dress Sexy Party', 0.9833895564079285)], [[[351.0, 1472.0], [890.0, 1476.0], [890.0, 1524.0], [351.0, 1520.0]], ('Club Wear Summer Short Dress', 0.9955586791038513)], [[[1421.0, 1560.0], [1532.0, 1560.0], [1532.0, 1611.0], [1421.0, 1611.0]], ('29,99', 0.9995033144950867)], [[[1654.0, 1564.0], [1787.0, 1564.0], [1787.0, 1615.0], [1654.0, 1615.0]], ('119,96', 0.9994757771492004)], [[[1913.0, 1555.0], [2007.0, 1566.0], [2001.0, 1617.0], [1907.0, 1606.0]], ('10%', 0.9992581009864807)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[358.0, 1571.0], [812.0, 1571.0], [812.0, 1608.0], [358.0, 1608.0]], ("R&M; RICHARDS WOMAN'S", 0.9912229180335999)], [[[1008.0, 1568.0], [1097.0, 1568.0], [1097.0, 1608.0], [1008.0, 1608.0]], ('4,00', 0.9974629282951355)], [[[1148.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1148.0, 1611.0]], ('each', 0.9977310299873352)], [[[2130.0, 1568.0], [2252.0, 1568.0], [2252.0, 1608.0], [2130.0, 1608.0]], ('131,96', 0.9997885227203369)], [[[358.0, 1608.0], [882.0, 1612.0], [882.0, 1652.0], [358.0, 1648.0]], ('BLUE PRINT LONG DRESS WITH', 0.9950088858604431)], [[[358.0, 1655.0], [868.0, 1655.0], [868.0, 1692.0], [358.0, 1692.0]], ('SHRUG JACKET SIZE 18W NWT', 0.9911460280418396)], [[[358.0, 1743.0], [827.0, 1743.0], [827.0, 1780.0], [358.0, 1780.0]], ('WD NY BLACK & OFF WHITE', 0.9711693525314331)], [[[1008.0, 1739.0], [1097.0, 1739.0], [1097.0, 1783.0], [1008.0, 1783.0]], ('4,00', 0.976862370967865)], [[[1148.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1148.0, 1783.0]], (' each', 0.9113703966140747)], [[[1421.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1421.0, 1787.0]], ('10,00', 0.9994203448295593)], [[[1676.0, 1736.0], [1787.0, 1736.0], [1787.0, 1787.0], [1676.0, 1787.0]], ('40,00', 0.9991569519042969)], [[[251.0, 1747.0], [288.0, 1747.0], [288.0, 1780.0], [251.0, 1780.0]], ('3.', 0.995986819267273)], [[[1912.0, 1739.0], [2001.0, 1739.0], [2001.0, 1783.0], [1912.0, 1783.0]], ('10%', 0.9965217113494873)], [[[2152.0, 1739.0], [2256.0, 1739.0], [2256.0, 1787.0], [2152.0, 1787.0]], ('44,00', 0.9919281005859375)], [[[358.0, 1787.0], [812.0, 1787.0], [812.0, 1823.0], [358.0, 1823.0]], ('DRESS SIZE 8 Button Front', 0.9723418354988098)], [[[1004.0, 1859.0], [1094.0, 1869.0], [1089.0, 1916.0], [999.0, 1906.0]], ('1,00', 0.9967657923698425)], [[[1421.0, 1859.0], [1534.0, 1869.0], [1529.0, 1923.0], [1416.0, 1913.0]], ('74,99', 0.9993816614151001)], [[[1672.0, 1855.0], [1788.0, 1865.0], [1784.0, 1920.0], [1667.0, 1910.0]], ('74,99', 0.9382885098457336)], [[[1909.0, 1858.0], [2007.0, 1869.0], [2001.0, 1920.0], [1903.0, 1909.0]], ('10%', 0.9999034404754639)], [[[251.0, 1878.0], [284.0, 1878.0], [284.0, 1907.0], [251.0, 1907.0]], ('4.', 0.9903696775436401)], [[[358.0, 1875.0], [886.0, 1875.0], [886.0, 1911.0], [358.0, 1911.0]], ('Escada Long Black Dress SZ 40', 0.9973331689834595)], [[[1152.0, 1871.0], [1248.0, 1871.0], [1248.0, 1915.0], [1152.0, 1915.0]], ('each', 0.9984121918678284)], [[[2149.0, 1871.0], [2256.0, 1871.0], [2256.0, 1911.0], [2149.0, 1911.0]], ('82,49', 0.9964923858642578)], [[[355.0, 1911.0], [639.0, 1919.0], [638.0, 1959.0], [354.0, 1951.0]], ('100% Silk Lining', 0.9979552030563354)], [[[355.0, 1999.0], [894.0, 2003.0], [893.0, 2050.0], [354.0, 2046.0]], ('Xhilaration Womens L Burgandy', 0.9988306760787964)], [[[1008.0, 2002.0], [1093.0, 2002.0], [1093.0, 2043.0], [1008.0, 2043.0]], ('5,00', 0.9787166118621826)], [[[1151.0, 1998.0], [1249.0, 2007.0], [1245.0, 2051.0], [1147.0, 2041.0]], ('each', 0.9933544397354126)], [[[1421.0, 1999.0], [1532.0, 1999.0], [1532.0, 2050.0], [1421.0, 2050.0]], ('14,95', 0.9998778104782104)], [[[1672.0, 1999.0], [1787.0, 1999.0], [1787.0, 2050.0], [1672.0, 2050.0]], ('74,75', 0.9994828104972839)], [[[1912.0, 1994.0], [2003.0, 2004.0], [1998.0, 2048.0], [1907.0, 2038.0]], ('10%', 0.9996197819709778)], [[[251.0, 2010.0], [284.0, 2010.0], [284.0, 2039.0], [251.0, 2039.0]], ('5.', 0.9926357269287109)], [[[2149.0, 2002.0], [2252.0, 2002.0], [2252.0, 2043.0], [2149.0, 2043.0]], ('82,23', 0.9696645736694336)], [[[358.0, 2046.0], [890.0, 2046.0], [890.0, 2083.0], [358.0, 2083.0]], ('Boho Embroidered Festival Mini', 0.9790772795677185)], [[[358.0, 2083.0], [546.0, 2083.0], [546.0, 2123.0], [358.0, 2123.0]], ('Dress NEW', 0.9668350219726562)], [[[354.0, 2171.0], [901.0, 2171.0], [901.0, 2218.0], [354.0, 2218.0]], ('Lilly Pulitzer XS Spike the Punch', 0.9863702058792114)], [[[1008.0, 2171.0], [1093.0, 2171.0], [1093.0, 2214.0], [1008.0, 2214.0]], ('4,00', 0.9980779886245728)], [[[1152.0, 2174.0], [1248.0, 2174.0], [1248.0, 2218.0], [1152.0, 2218.0]], ('each', 0.9986991882324219)], [[[1418.0, 2167.0], [1532.0, 2167.0], [1532.0, 2218.0], [1418.0, 2218.0]], ('44,89', 0.9977129101753235)], [[[1654.0, 2167.0], [1787.0, 2167.0], [1787.0, 2218.0], [1654.0, 2218.0]], ('179,56', 0.999567985534668)], [[[1909.0, 2167.0], [2005.0, 2167.0], [2005.0, 2222.0], [1909.0, 2222.0]], ('10%', 0.9999180436134338)], [[[2127.0, 2167.0], [2256.0, 2167.0], [2256.0, 2218.0], [2127.0, 2218.0]], ('197,52', 0.9998254179954529)], [[[255.0, 2178.0], [284.0, 2178.0], [284.0, 2211.0], [255.0, 2211.0]], ('6.', 0.9907492399215698)], [[[354.0, 2214.0], [783.0, 2214.0], [783.0, 2262.0], [354.0, 2262.0]], ('Cassie Cotton Dress with', 0.9978120923042297)], [[[355.0, 2258.0], [632.0, 2262.0], [631.0, 2302.0], [354.0, 2298.0]], ('Quarter Sleeves', 0.9986793398857117)], [[[192.0, 2397.0], [491.0, 2397.0], [491.0, 2448.0], [192.0, 2448.0]], ('SUMMARY', 0.9963865280151367)], [[[956.0, 2518.0], [1122.0, 2518.0], [1122.0, 2569.0], [956.0, 2569.0]], ('VAT [%]', 0.9993820786476135)], [[[1384.0, 2518.0], [1591.0, 2518.0], [1591.0, 2569.0], [1384.0, 2569.0]], ('Net worth', 0.9997502565383911)], [[[1780.0, 2521.0], [1868.0, 2521.0], [1868.0, 2565.0], [1780.0, 2565.0]], ('VAT', 0.9607529044151306)], [[[2023.0, 2521.0], [2252.0, 2521.0], [2252.0, 2562.0], [2023.0, 2562.0]], ('Gross worth', 0.9999020099639893)], [[[994.0, 2596.0], [1087.0, 2607.0], [1081.0, 2662.0], [988.0, 2651.0]], ('10%', 0.9998767375946045)], [[[1458.0, 2605.0], [1591.0, 2605.0], [1591.0, 2657.0], [1458.0, 2657.0]], ('507,14', 0.9997902512550354)], [[[1753.0, 2600.0], [1870.0, 2610.0], [1865.0, 2662.0], [1749.0, 2652.0]], ('50,71', 0.9996067881584167)], [[[2130.0, 2605.0], [2263.0, 2605.0], [2263.0, 2657.0], [2130.0, 2657.0]], ('557,85', 0.9979345202445984)], [[[746.0, 2697.0], [857.0, 2697.0], [857.0, 2748.0], [746.0, 2748.0]], ('Total', 0.9998736381530762)], [[[1713.0, 2697.0], [1864.0, 2697.0], [1864.0, 2748.0], [1713.0, 2748.0]], ('$ 50,71', 0.9943934679031372)], [[[2084.0, 2689.0], [2264.0, 2698.0], [2261.0, 2749.0], [2081.0, 2740.0]], ('$ 557,85', 0.9969836473464966)], [[[1418.0, 2700.0], [1584.0, 2700.0], [1584.0, 2741.0], [1418.0, 2741.0]], ('$ 507,14', 0.9989967346191406)]]	{'header': {'invoice_no': '83347787', 'invoice_date': '06/05/2013', 'seller': 'Williams, Coleman and Parrish 716 Johnson Mountain Suite 119 South Lisa, CT 42270', 'client': 'Lyons-Manning 364 Melissa Brooks Veronicaland, IL 74914', 'seller_tax_id': '953-87-3893', 'client_tax_id': '952-91-0003', 'iban': 'GB39BPFW56068121674289'}, 'items': [{'item_desc': 'Women Spaghetti Strap Bodycon Mini Dress Sexy Party Club Wear Summer Short Dress', 'item_qty': '4,00', 'item_net_price': '4,47', 'item_net_worth': '17,88', 'item_vat': '10%', 'item_gross_worth': '19,67'}, {'item_desc': "R&M; RICHARDS WOMAN'S BLUE PRINT LONG DRESS WITH SHRUG JACKET SIZE 18W NWT", 'item_qty': '4,00', 'item_net_price': '29,99', 'item_net_worth': '119,96', 'item_vat': '10%', 'item_gross_worth': '131,96'}, {'item_desc': 'WD NY BLACK & OFF WHITE DRESS SIZE 8 Button Front', 'item_qty': '4,00', 'item_net_price': '10,00', 'item_net_worth': '40,00', 'item_vat': '10%', 'item_gross_worth': '44,00'}, {'item_desc': 'Escada Long Black Dress SZ 40 100% Silk Lining', 'item_qty': '1,00', 'item_net_price': '74,99', 'item_net_worth': '74,99', 'item_vat': '10%', 'item_gross_worth': '82,49'}, {'item_desc': 'Xhilaration Womens L Burgandy Boho Embroidered Festival Mini Dress NEW', 'item_qty': '5,00', 'item_net_price': '14,95', 'item_net_worth': '74,75', 'item_vat': '10%', 'item_gross_worth': '82,23'}, {'item_desc': 'Lilly Pulitzer XS Spike the Punch Cassie Cotton Dress with Quarter Sleeves', 'item_qty': '4,00', 'item_net_price': '44,89', 'item_net_worth': '179,56', 'item_vat': '10%', 'item_gross_worth': '197,52'}], 'summary': {'total_net_worth': '$507,14', 'total_vat': '$50,71', 'total_gross_worth': '$ 557,85'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [805.0, 110.0], [805.0, 161.0], [196.0, 161.0]], ('Invoice no: 61660848', 0.9989171028137207)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9944581985473633)], [[[1200.0, 216.0], [1462.0, 216.0], [1462.0, 256.0], [1200.0, 256.0]], ('05/30/2019', 0.9997258186340332)], [[[1235.0, 649.0], [1430.0, 659.0], [1427.0, 724.0], [1232.0, 715.0]], ('Client:', 0.999538242816925)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[207.0, 757.0], [838.0, 753.0], [838.0, 804.0], [207.0, 808.0]], ('Gardner, Tucker and Martinez', 0.999162495136261)], [[[1245.0, 752.0], [1566.0, 760.0], [1565.0, 812.0], [1244.0, 804.0]], ('Robbins Group', 0.999895453453064)], [[[203.0, 807.0], [587.0, 811.0], [587.0, 863.0], [203.0, 859.0]], ('866 James Center', 0.9873378276824951)], [[[1248.0, 811.0], [1466.0, 811.0], [1466.0, 862.0], [1248.0, 862.0]], ('USS Salas', 0.986426591873169)], [[[207.0, 866.0], [591.0, 866.0], [591.0, 914.0], [207.0, 914.0]], ('Lisaville, IL 04941', 0.9975699186325073)], [[[1248.0, 866.0], [1551.0, 866.0], [1551.0, 914.0], [1248.0, 914.0]], ('FPO AP 29909', 0.9994053244590759)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 935-91-0274', 0.9856619834899902)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 968-87-5481', 0.9933257699012756)], [[[203.0, 1019.0], [923.0, 1023.0], [923.0, 1074.0], [203.0, 1071.0]], ('IBAN: GB80LOJV60789804948690', 0.9937364459037781)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[1161.0, 1252.0], [1239.0, 1262.0], [1232.0, 1313.0], [1154.0, 1303.0]], ('UM', 0.979519248008728)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2130.0, 1305.0], [2259.0, 1305.0], [2259.0, 1356.0], [2130.0, 1356.0]], ('worth', 0.9997998476028442)], [[[354.0, 1400.0], [820.0, 1400.0], [820.0, 1436.0], [354.0, 1436.0]], ('Hekate Soteira :A Study of', 0.9621807932853699)], [[[1008.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1008.0, 1440.0]], ('1,00', 0.9966188669204712)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[1418.0, 1392.0], [1532.0, 1392.0], [1532.0, 1443.0], [1418.0, 1443.0]], ('24,12', 0.9994990229606628)], [[[1672.0, 1392.0], [1783.0, 1392.0], [1783.0, 1443.0], [1672.0, 1443.0]], ('24,12', 0.9996346235275269)], [[[1916.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1916.0, 1440.0]], ('10%', 0.9995570182800293)], [[[2145.0, 1392.0], [2256.0, 1392.0], [2256.0, 1443.0], [2145.0, 1443.0]], ('26,53', 0.9996569752693176)], [[[354.0, 1436.0], [864.0, 1436.0], [864.0, 1484.0], [354.0, 1484.0]], ("Hekate's Role in the Chaldean", 0.9968338012695312)], [[[355.0, 1472.0], [731.0, 1480.0], [730.0, 1528.0], [354.0, 1520.0]], ('Oracles and Related...', 0.9672399759292603)], [[[196.0, 1619.0], [491.0, 1619.0], [491.0, 1670.0], [196.0, 1670.0]], ('SUMMARY', 0.9958321452140808)], [[[956.0, 1743.0], [1122.0, 1743.0], [1122.0, 1794.0], [956.0, 1794.0]], ('VAT [%]', 0.9992411732673645)], [[[1776.0, 1734.0], [1874.0, 1745.0], [1868.0, 1799.0], [1770.0, 1789.0]], ('VAT', 0.9691691398620605)], [[[1388.0, 1747.0], [1588.0, 1747.0], [1588.0, 1787.0], [1388.0, 1787.0]], ('Net worth', 0.9879683256149292)], [[[2027.0, 1750.0], [2259.0, 1750.0], [2259.0, 1787.0], [2027.0, 1787.0]], ('Gross worth', 0.9999069571495056)], [[[997.0, 1834.0], [1082.0, 1834.0], [1082.0, 1878.0], [997.0, 1878.0]], ('10%', 0.9996476173400879)], [[[1477.0, 1831.0], [1591.0, 1831.0], [1591.0, 1882.0], [1477.0, 1882.0]], ('24,12', 0.999083399772644)], [[[1780.0, 1834.0], [1864.0, 1834.0], [1864.0, 1878.0], [1780.0, 1878.0]], ('2,41', 0.9951376914978027)], [[[2152.0, 1831.0], [2267.0, 1831.0], [2267.0, 1882.0], [2152.0, 1882.0]], ('26,53', 0.9996711015701294)], [[[746.0, 1918.0], [857.0, 1918.0], [857.0, 1970.0], [746.0, 1970.0]], ('Total', 0.9997448921203613)], [[[1432.0, 1918.0], [1591.0, 1918.0], [1591.0, 1970.0], [1432.0, 1970.0]], ('$ 24,12', 0.9939493536949158)], [[[1735.0, 1918.0], [1864.0, 1918.0], [1864.0, 1970.0], [1735.0, 1970.0]], ('$2,41', 0.9998245239257812)], [[[2108.0, 1918.0], [2263.0, 1918.0], [2263.0, 1970.0], [2108.0, 1970.0]], ('$ 26,53', 0.9856085181236267)]]	{'invoice_no': '61660848', 'invoice_date': '05/30/2019', 'seller': 'Gardner, Tucker and Martinez 866 James Center Lisaville, IL 04941', 'client': 'Robbins Group USS Salas FPO AP 29909', 'seller_tax_id': '935-91-0274', 'client_tax_id': '968-87-5481', 'iban': 'GB80LOJV60789804948690', 'item_desc': "Hekate Soteira A Study of Hekate's Role in the Chaldean Oracles and Related...", 'item_qty': '1,00', 'item_net_price': '24,12', 'item_net_worth': '24,12', 'item_vat': '10%', 'item_gross_worth': '26,53', 'total_net_worth': '$24,12', 'total_vat': '$ 2,41', 'total_gross_worth': '$26,53'}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [805.0, 110.0], [805.0, 161.0], [196.0, 161.0]], ('Invoice no: 83087418', 0.997675895690918)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9944581985473633)], [[[1204.0, 216.0], [1469.0, 216.0], [1469.0, 256.0], [1204.0, 256.0]], ('08/21/2019', 0.9999038577079773)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[1240.0, 661.0], [1429.0, 661.0], [1429.0, 720.0], [1240.0, 720.0]], ('Client:', 0.9994950890541077)], [[[207.0, 756.0], [757.0, 756.0], [757.0, 804.0], [207.0, 804.0]], ('Perez, Hurst and Martinez', 0.9998716115951538)], [[[1248.0, 760.0], [1805.0, 760.0], [1805.0, 808.0], [1248.0, 808.0]], ('Kemp, Barber and Hanson', 0.9974074363708496)], [[[203.0, 807.0], [580.0, 811.0], [579.0, 863.0], [203.0, 859.0]], ('011 Emily Harbor', 0.9979895353317261)], [[[1248.0, 807.0], [1817.0, 811.0], [1816.0, 863.0], [1248.0, 859.0]], ('673 Jones Bridge Suite 081', 0.972408652305603)], [[[207.0, 866.0], [724.0, 866.0], [724.0, 914.0], [207.0, 914.0]], ('Sweeneyshire, NJ 36988', 0.9992232918739319)], [[[1244.0, 866.0], [1665.0, 866.0], [1665.0, 914.0], [1244.0, 914.0]], ('Sotoberg, CT 94741', 0.9356651306152344)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 908-73-4594', 0.9860889315605164)], [[[1248.0, 972.0], [1680.0, 972.0], [1680.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 955-95-1576', 0.9936680793762207)], [[[203.0, 1019.0], [916.0, 1023.0], [915.0, 1074.0], [203.0, 1071.0]], ('IBAN: GB40OJQJ52912349948544', 0.9847176671028137)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[351.0, 1392.0], [768.0, 1396.0], [768.0, 1436.0], [351.0, 1432.0]], ("YILONG 6.56'x9.84'Blue", 0.9737584590911865)], [[[1909.0, 1383.0], [2007.0, 1394.0], [2000.0, 1449.0], [1903.0, 1438.0]], ('10%', 0.9999048113822937)], [[[2092.0, 1384.0], [2257.0, 1393.0], [2254.0, 1444.0], [2089.0, 1435.0]], (' 5 280,00', 0.9522259831428528)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('1,00', 0.9984493255615234)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[1370.0, 1396.0], [1528.0, 1396.0], [1528.0, 1436.0], [1370.0, 1436.0]], ('4 800,00', 0.918106734752655)], [[[1624.0, 1396.0], [1783.0, 1396.0], [1783.0, 1436.0], [1624.0, 1436.0]], ('4800,00', 0.9499911069869995)], [[[354.0, 1436.0], [901.0, 1436.0], [901.0, 1484.0], [354.0, 1484.0]], ('Handknotted Silk Carpet Easy to', 0.999925971031189)], [[[354.0, 1476.0], [831.0, 1476.0], [831.0, 1524.0], [354.0, 1524.0]], ('Clean Indoor Rug YwX137A', 0.9733025431632996)], [[[1917.0, 1552.0], [2006.0, 1562.0], [2000.0, 1616.0], [1911.0, 1606.0]], ('10%', 0.9999182820320129)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[355.0, 1564.0], [835.0, 1568.0], [834.0, 1608.0], [354.0, 1604.0]], ("YILONG 5.5'x8' Handknotted", 0.9945560097694397)], [[[1008.0, 1568.0], [1097.0, 1568.0], [1097.0, 1608.0], [1008.0, 1608.0]], ('3,00', 0.9977584481239319)], [[[1148.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1148.0, 1611.0]], ('each', 0.9977310299873352)], [[[1351.0, 1568.0], [1528.0, 1568.0], [1528.0, 1608.0], [1351.0, 1608.0]], ('10 560,00', 0.9870545864105225)], [[[1606.0, 1568.0], [1780.0, 1568.0], [1780.0, 1608.0], [1606.0, 1608.0]], ('31 680,00', 0.9679957628250122)], [[[2079.0, 1568.0], [2252.0, 1568.0], [2252.0, 1608.0], [2079.0, 1608.0]], ('34 848,00', 0.9835299253463745)], [[[355.0, 1608.0], [820.0, 1612.0], [819.0, 1652.0], [354.0, 1648.0]], ('Silk Area Rugs Home Decor', 0.9989920258522034)], [[[358.0, 1655.0], [783.0, 1655.0], [783.0, 1692.0], [358.0, 1692.0]], ('Classic Blue Carpet 0790', 0.9960295557975769)], [[[355.0, 1739.0], [901.0, 1743.0], [901.0, 1783.0], [354.0, 1780.0]], ('World Map Round Carpets Room', 0.9948805570602417)], [[[1008.0, 1739.0], [1097.0, 1739.0], [1097.0, 1783.0], [1008.0, 1783.0]], ('4,00', 0.976862370967865)], [[[1148.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1148.0, 1783.0]], (' each', 0.9113703966140747)], [[[1418.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1418.0, 1787.0]], ('83,78', 0.9996420741081238)], [[[1654.0, 1736.0], [1787.0, 1736.0], [1787.0, 1787.0], [1654.0, 1787.0]], ('335,12', 0.9997420907020569)], [[[1916.0, 1739.0], [2005.0, 1739.0], [2005.0, 1783.0], [1916.0, 1783.0]], ('10%', 0.9995101094245911)], [[[2127.0, 1736.0], [2256.0, 1736.0], [2256.0, 1787.0], [2127.0, 1787.0]], ('368,63', 0.9995328783988953)], [[[258.0, 1750.0], [284.0, 1750.0], [284.0, 1776.0], [258.0, 1776.0]], ('3.', 0.9924343228340149)], [[[358.0, 1787.0], [893.0, 1787.0], [893.0, 1823.0], [358.0, 1823.0]], ('Printed Area Rug Blue Floor Mat', 0.9925510883331299)], [[[358.0, 1827.0], [672.0, 1827.0], [672.0, 1864.0], [358.0, 1864.0]], ('Bedroom Play Mat', 0.9469345808029175)], [[[1621.0, 1907.0], [1783.0, 1907.0], [1783.0, 1959.0], [1621.0, 1959.0]], ('7 200,00', 0.9954885840415955)], [[[1909.0, 1899.0], [2007.0, 1909.0], [2000.0, 1964.0], [1903.0, 1953.0]], ('10%', 0.9993720054626465)], [[[354.0, 1911.0], [897.0, 1911.0], [897.0, 1959.0], [354.0, 1959.0]], ("YILONG 4'x6' Handmade Carpet", 0.9992784857749939)], [[[1008.0, 1911.0], [1097.0, 1911.0], [1097.0, 1955.0], [1008.0, 1955.0]], ('2,00', 0.9965135455131531)], [[[1152.0, 1915.0], [1248.0, 1915.0], [1248.0, 1959.0], [1152.0, 1959.0]], ('each', 0.9984596967697144)], [[[1370.0, 1915.0], [1528.0, 1915.0], [1528.0, 1955.0], [1370.0, 1955.0]], ('3 600,00', 0.9787480235099792)], [[[2093.0, 1907.0], [2256.0, 1907.0], [2256.0, 1959.0], [2093.0, 1959.0]], ('7 920,00', 0.9984984397888184)], [[[258.0, 1926.0], [277.0, 1926.0], [277.0, 1944.0], [258.0, 1944.0]], ('4', 0.9952219128608704)], [[[351.0, 1948.0], [853.0, 1951.0], [853.0, 2003.0], [351.0, 1999.0]], ('Hunting Scene Hand Knotted', 0.9927641749382019)], [[[358.0, 1999.0], [613.0, 1999.0], [613.0, 2039.0], [358.0, 2039.0]], ('Silk Rugs 079B', 0.9730340838432312)], [[[192.0, 2134.0], [491.0, 2134.0], [491.0, 2185.0], [192.0, 2185.0]], ('SUMMARY', 0.9963642954826355)], [[[956.0, 2258.0], [1122.0, 2258.0], [1122.0, 2309.0], [956.0, 2309.0]], ('VAT [%]', 0.9992824196815491)], [[[1388.0, 2262.0], [1588.0, 2262.0], [1588.0, 2302.0], [1388.0, 2302.0]], ('Net worth', 0.9808471202850342)], [[[1780.0, 2258.0], [1868.0, 2258.0], [1868.0, 2302.0], [1780.0, 2302.0]], ('VAT', 0.9106342196464539)], [[[2023.0, 2258.0], [2256.0, 2258.0], [2256.0, 2298.0], [2023.0, 2298.0]], ('Gross worth', 0.9940157532691956)], [[[994.0, 2337.0], [1087.0, 2348.0], [1081.0, 2402.0], [988.0, 2392.0]], ('10%', 0.9998841881752014)], [[[1405.0, 2338.0], [1585.0, 2347.0], [1582.0, 2398.0], [1402.0, 2389.0]], ('44 015,12', 0.9813141226768494)], [[[1707.0, 2345.0], [1865.0, 2354.0], [1863.0, 2394.0], [1705.0, 2386.0]], ('4 401,51', 0.9958434700965881)], [[[2080.0, 2345.0], [2264.0, 2354.0], [2262.0, 2394.0], [2078.0, 2386.0]], ('48 416,63', 0.9470602869987488)], [[[749.0, 2441.0], [857.0, 2441.0], [857.0, 2481.0], [749.0, 2481.0]], ('Total', 0.9998010396957397)], [[[1359.0, 2441.0], [1588.0, 2441.0], [1588.0, 2481.0], [1359.0, 2481.0]], ('$ 44 015,12', 0.9872783422470093)], [[[1658.0, 2441.0], [1861.0, 2441.0], [1861.0, 2481.0], [1658.0, 2481.0]], ('$ 4 401,51', 0.9564671516418457)], [[[2031.0, 2441.0], [2256.0, 2441.0], [2256.0, 2481.0], [2031.0, 2481.0]], ('$ 48 416,63', 0.9735631942749023)]]	{'header': {'invoice_no': '83087418', 'invoice_date': '08/21/2019', 'seller': 'Perez, Hurst and Martinez 011 Emily Harbor Sweeneyshire, NJ 36988', 'client': 'Kemp, Barber and Hanson 673 Jones Bridge Suite 081 Sotoberg, CT 94741', 'seller_tax_id': '908-73-4594', 'client_tax_id': '955-95-1576', 'iban': 'GB400JQJ52912349948544'}, 'items': [{'item_desc': "YILONG 6.56'x9.84' Blue Handknotted Silk Carpet Easy to Clean Indoor Rug YWX137A", 'item_qty': '1,00', 'item_net_price': '4800,00', 'item_net_worth': '4800,00', 'item_vat': '10%', 'item_gross_worth': '5 280,00'}, {'item_desc': "YILONG 5.5'x8' Handknotted Silk Area Rugs Home Decor Classic Blue Carpet 0790", 'item_qty': '3,00', 'item_net_price': '10 560,00', 'item_net_worth': '31 680,00', 'item_vat': '10%', 'item_gross_worth': '34 848,00'}, {'item_desc': 'World Map Round Carpets Room Printed Area Rug Blue Floor Mat Bedroom Play Mat', 'item_qty': '4,00', 'item_net_price': '83,78', 'item_net_worth': '335,12', 'item_vat': '10%', 'item_gross_worth': '368,63'}, {'item_desc': "YILONG 4'x6' Handmade Carpet Hunting Scene Hand Knotted Silk Rugs 079B", 'item_qty': '2,00', 'item_net_price': '3 600,00', 'item_net_worth': '7200,00', 'item_vat': '10%', 'item_gross_worth': '7920,00'}], 'summary': {'total_net_worth': '$ 44015,12', 'total_vat': '$4401,51', 'total_gross_worth': '$ 48416,63'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [805.0, 110.0], [805.0, 161.0], [196.0, 161.0]], ('Invoice no: 86268868', 0.9982993006706238)], [[[196.0, 212.0], [521.0, 212.0], [521.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.998734176158905)], [[[1200.0, 216.0], [1462.0, 216.0], [1462.0, 256.0], [1200.0, 256.0]], ('03/30/2012', 0.9997156858444214)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1239.0, 657.0], [1426.0, 666.0], [1423.0, 721.0], [1236.0, 712.0]], ('Client:', 0.9863694310188293)], [[[207.0, 760.0], [598.0, 760.0], [598.0, 808.0], [207.0, 808.0]], ('Harrison and Sons', 0.9998031854629517)], [[[1248.0, 760.0], [1783.0, 760.0], [1783.0, 808.0], [1248.0, 808.0]], ('Adams, Holmes and Cruz', 0.9789186120033264)], [[[203.0, 807.0], [676.0, 811.0], [675.0, 863.0], [203.0, 859.0]], ('8716 Tiffany Crescent', 0.9996804594993591)], [[[1244.0, 815.0], [1846.0, 815.0], [1846.0, 862.0], [1244.0, 862.0]], ('096 Bradley Forge Suite 047', 0.9803257584571838)], [[[207.0, 866.0], [631.0, 866.0], [631.0, 914.0], [207.0, 914.0]], ('Markfurt, NH 79626', 0.9996659755706787)], [[[1248.0, 866.0], [1791.0, 866.0], [1791.0, 914.0], [1248.0, 914.0]], ('Samanthabury, TN 88715', 0.99978107213974)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 974-70-5786', 0.9894778728485107)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 951-73-7519', 0.987553060054779)], [[[210.0, 1030.0], [938.0, 1030.0], [938.0, 1067.0], [210.0, 1067.0]], ('IBAN: GB90KGZY90567874189494', 0.9797978401184082)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1264.0], [1780.0, 1264.0], [1780.0, 1305.0], [1580.0, 1305.0]], ('Net worth', 0.9999362230300903)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[351.0, 1392.0], [764.0, 1396.0], [764.0, 1436.0], [351.0, 1432.0]], ("YILONG 4'x6' Traditional", 0.9756582379341125)], [[[1008.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1008.0, 1440.0]], ('3,00', 0.9798600077629089)], [[[1145.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1145.0, 1440.0]], (' each', 0.913709819316864)], [[[1370.0, 1396.0], [1528.0, 1396.0], [1528.0, 1436.0], [1370.0, 1436.0]], ('3600,00', 0.9663639664649963)], [[[1606.0, 1396.0], [1783.0, 1396.0], [1783.0, 1436.0], [1606.0, 1436.0]], ('10800,00', 0.9655284881591797)], [[[1912.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1912.0, 1440.0]], ('10%', 0.994788646697998)], [[[2079.0, 1396.0], [2252.0, 1396.0], [2252.0, 1436.0], [2079.0, 1436.0]], ('11880,00', 0.9435620903968811)], [[[258.0, 1407.0], [277.0, 1407.0], [277.0, 1429.0], [258.0, 1429.0]], ('1', 0.9433960914611816)], [[[354.0, 1436.0], [893.0, 1436.0], [893.0, 1484.0], [354.0, 1484.0]], ('Handmade Carpet Sitting Room', 0.9961183667182922)], [[[354.0, 1476.0], [838.0, 1476.0], [838.0, 1524.0], [354.0, 1524.0]], ('Hand Knotted Silk Rug 076B', 0.9954591393470764)], [[[1008.0, 1564.0], [1097.0, 1564.0], [1097.0, 1608.0], [1008.0, 1608.0]], ('5,00', 0.994348406791687)], [[[1418.0, 1560.0], [1532.0, 1560.0], [1532.0, 1611.0], [1418.0, 1611.0]], ('23,39', 0.9969841837882996)], [[[1916.0, 1555.0], [2002.0, 1565.0], [1997.0, 1613.0], [1911.0, 1603.0]], ('10%', 0.9949302673339844)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[358.0, 1571.0], [820.0, 1571.0], [820.0, 1608.0], [358.0, 1608.0]], ('Bohemian Rag Rug-Woven', 0.981618344783783)], [[[1148.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1148.0, 1611.0]], ('each', 0.9977310299873352)], [[[1658.0, 1568.0], [1783.0, 1568.0], [1783.0, 1608.0], [1658.0, 1608.0]], ('116,95', 0.9997286200523376)], [[[2127.0, 1564.0], [2256.0, 1564.0], [2256.0, 1615.0], [2127.0, 1615.0]], ('128,65', 0.9994476437568665)], [[[355.0, 1604.0], [864.0, 1608.0], [864.0, 1655.0], [354.0, 1652.0]], ('Chindi Dari Living Room Rug /', 0.9865992069244385)], [[[358.0, 1655.0], [868.0, 1655.0], [868.0, 1692.0], [358.0, 1692.0]], ('Hand-Woven Carpet Rug-Mats', 0.9955143332481384)], [[[354.0, 1743.0], [783.0, 1743.0], [783.0, 1780.0], [354.0, 1780.0]], ('Cotton Linen Kitchen Mat', 0.9779849052429199)], [[[1004.0, 1739.0], [1108.0, 1739.0], [1108.0, 1787.0], [1004.0, 1787.0]], ('1,00', 0.9989047646522522)], [[[1145.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1145.0, 1783.0]], (' each', 0.931943416595459)], [[[1418.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1418.0, 1787.0]], ('20,52', 0.9999000430107117)], [[[1672.0, 1736.0], [1787.0, 1736.0], [1787.0, 1787.0], [1672.0, 1787.0]], ('20,52', 0.9996153116226196)], [[[1912.0, 1739.0], [2005.0, 1739.0], [2005.0, 1783.0], [1912.0, 1783.0]], ('10%', 0.9955744743347168)], [[[2145.0, 1736.0], [2256.0, 1736.0], [2256.0, 1787.0], [2145.0, 1787.0]], ('22,57', 0.999842643737793)], [[[251.0, 1747.0], [284.0, 1747.0], [284.0, 1776.0], [251.0, 1776.0]], ('3.', 0.9897561073303223)], [[[358.0, 1787.0], [868.0, 1787.0], [868.0, 1823.0], [358.0, 1823.0]], ('Bathroom Doormat Absorbent', 0.9659344553947449)], [[[354.0, 1827.0], [886.0, 1827.0], [886.0, 1864.0], [354.0, 1864.0]], ('Rug Hand-woven Tassel Carpet', 0.9697012305259705)], [[[1600.0, 1903.0], [1784.0, 1912.0], [1782.0, 1963.0], [1598.0, 1954.0]], ('18 000,00', 0.9985579252243042)], [[[1909.0, 1899.0], [2007.0, 1909.0], [2000.0, 1964.0], [1903.0, 1953.0]], ('10%', 0.9993720054626465)], [[[358.0, 1915.0], [783.0, 1915.0], [783.0, 1951.0], [358.0, 1951.0]], ("YILONG 5.6'x8.3' All Over", 0.9580094218254089)], [[[1008.0, 1911.0], [1097.0, 1911.0], [1097.0, 1955.0], [1008.0, 1955.0]], ('2,00', 0.9965135455131531)], [[[1152.0, 1915.0], [1248.0, 1915.0], [1248.0, 1959.0], [1152.0, 1959.0]], ('each', 0.9984596967697144)], [[[1370.0, 1915.0], [1528.0, 1915.0], [1528.0, 1955.0], [1370.0, 1955.0]], ('9 000,00', 0.9858824014663696)], [[[2075.0, 1915.0], [2252.0, 1915.0], [2252.0, 1955.0], [2075.0, 1955.0]], ('19 800,00', 0.9846276044845581)], [[[351.0, 1947.0], [879.0, 1955.0], [878.0, 2003.0], [350.0, 1995.0]], (' Pattern HandKnotted Silk Rugs', 0.9872855544090271)], [[[354.0, 1999.0], [731.0, 1999.0], [731.0, 2035.0], [354.0, 2035.0]], ('Oriental Carpets 1807', 0.9967190027236938)], [[[351.0, 2079.0], [894.0, 2083.0], [893.0, 2130.0], [351.0, 2127.0]], ("YILONG 4'x6' Handmade Carpet", 0.9989901781082153)], [[[1909.0, 2070.0], [2007.0, 2081.0], [2000.0, 2136.0], [1903.0, 2125.0]], ('10%', 0.9998958706855774)], [[[1008.0, 2087.0], [1097.0, 2087.0], [1097.0, 2127.0], [1008.0, 2127.0]], ('1,00', 0.9944280982017517)], [[[1148.0, 2087.0], [1252.0, 2087.0], [1252.0, 2134.0], [1148.0, 2134.0]], ('each', 0.9719215035438538)], [[[1370.0, 2087.0], [1528.0, 2087.0], [1528.0, 2127.0], [1370.0, 2127.0]], ('3600,00', 0.9798570275306702)], [[[1621.0, 2087.0], [1780.0, 2087.0], [1780.0, 2127.0], [1621.0, 2127.0]], ('3 600,00', 0.9339077472686768)], [[[2090.0, 2079.0], [2256.0, 2079.0], [2256.0, 2130.0], [2090.0, 2130.0]], ('3 960,00', 0.9991995096206665)], [[[351.0, 2119.0], [853.0, 2123.0], [853.0, 2174.0], [351.0, 2170.0]], ('Hunting Scene Hand Knotted', 0.9834849834442139)], [[[348.0, 2159.0], [617.0, 2167.0], [616.0, 2219.0], [346.0, 2210.0]], ('Silk Rugs 079B', 0.960889995098114)], [[[354.0, 2255.0], [890.0, 2255.0], [890.0, 2302.0], [354.0, 2302.0]], ('7x10 Diamond Geometric Rugs', 0.9976819157600403)], [[[1008.0, 2258.0], [1093.0, 2258.0], [1093.0, 2302.0], [1008.0, 2302.0]], ('3,00', 0.9951435327529907)], [[[1145.0, 2258.0], [1248.0, 2258.0], [1248.0, 2306.0], [1145.0, 2306.0]], ('each', 0.9988183379173279)], [[[1403.0, 2258.0], [1528.0, 2258.0], [1528.0, 2298.0], [1403.0, 2298.0]], ('350,00', 0.9931913018226624)], [[[1621.0, 2258.0], [1783.0, 2258.0], [1783.0, 2298.0], [1621.0, 2298.0]], ('1050,00', 0.99204021692276)], [[[1912.0, 2258.0], [2001.0, 2258.0], [2001.0, 2302.0], [1912.0, 2302.0]], ('10%', 0.9987702965736389)], [[[2093.0, 2258.0], [2252.0, 2258.0], [2252.0, 2298.0], [2093.0, 2298.0]], ('1155,00', 0.9961677193641663)], [[[354.0, 2298.0], [908.0, 2298.0], [908.0, 2346.0], [354.0, 2346.0]], ('Contemporary Black Color Large', 0.9913676977157593)], [[[347.0, 2335.0], [683.0, 2339.0], [683.0, 2390.0], [347.0, 2386.0]], ('Mat Dhurrie Carpet', 0.9998070597648621)], [[[192.0, 2481.0], [491.0, 2481.0], [491.0, 2532.0], [192.0, 2532.0]], ('SUMMARY', 0.9966851472854614)], [[[956.0, 2605.0], [1122.0, 2605.0], [1122.0, 2657.0], [956.0, 2657.0]], ('VAT [%]', 0.9994757771492004)], [[[1388.0, 2609.0], [1588.0, 2609.0], [1588.0, 2649.0], [1388.0, 2649.0]], ('Net worth', 0.9856247305870056)], [[[1780.0, 2605.0], [1868.0, 2605.0], [1868.0, 2649.0], [1780.0, 2649.0]], ('VAT', 0.8281314373016357)], [[[2023.0, 2605.0], [2256.0, 2605.0], [2256.0, 2646.0], [2023.0, 2646.0]], ('Gross worth', 0.9999347925186157)], [[[993.0, 2689.0], [1085.0, 2689.0], [1085.0, 2744.0], [993.0, 2744.0]], ('10%', 0.9317978024482727)], [[[1410.0, 2697.0], [1588.0, 2697.0], [1588.0, 2737.0], [1410.0, 2737.0]], ('33 587,47', 0.967596709728241)], [[[1706.0, 2697.0], [1864.0, 2697.0], [1864.0, 2737.0], [1706.0, 2737.0]], ('3 358,75', 0.9670529365539551)], [[[2082.0, 2697.0], [2259.0, 2697.0], [2259.0, 2737.0], [2082.0, 2737.0]], ('36 946,22', 0.9623218178749084)], [[[746.0, 2781.0], [857.0, 2781.0], [857.0, 2832.0], [746.0, 2832.0]], ('Total', 0.9998723268508911)], [[[1355.0, 2781.0], [1588.0, 2781.0], [1588.0, 2832.0], [1355.0, 2832.0]], ('$ 33 587,47', 0.9988650679588318)], [[[1658.0, 2788.0], [1861.0, 2788.0], [1861.0, 2828.0], [1658.0, 2828.0]], ('$ 3 358,75', 0.9698477983474731)], [[[2031.0, 2784.0], [2259.0, 2784.0], [2259.0, 2825.0], [2031.0, 2825.0]], ('$ 36 946,22', 0.9919887781143188)]]	{'invoice_no': '86268868', 'invoice_date': '03/30/2012', 'seller': 'Harrison and Sons 8716 Tiffany Crescent Markfurt, NH 79626', 'client': 'Adams, Holmes and Cruz 096 Bradley Forge Suite 047 Samanthabury, TN 88715', 'client_tax_id': '951-73-7519', 'seller_tax_id': '974-70-5786', 'iban': 'GB90KGZY90567874189494', 'item_desc': '7x10 Diamond Geometric Rugs Contemporary Black Color Large Mat Dhurrie Carpet', 'item_qty': '3,00', 'item_net_price': '350,00', 'item_net_worth': '1050,00', 'item_vat': '10%', 'item_gross_worth': '1155,00', 'total_net_worth': '$33587,47', 'total_vat': '$3358,75', 'total_gross_worth': '$ 36946,22'}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [801.0, 110.0], [801.0, 161.0], [196.0, 161.0]], ('Invoice no: 82869381', 0.9988266825675964)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9944581985473633)], [[[1204.0, 216.0], [1469.0, 216.0], [1469.0, 256.0], [1204.0, 256.0]], ('09/16/2016', 0.999725341796875)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1240.0, 661.0], [1429.0, 661.0], [1429.0, 720.0], [1240.0, 720.0]], ('Client:', 0.9994950890541077)], [[[207.0, 760.0], [524.0, 760.0], [524.0, 808.0], [207.0, 808.0]], ('King-Lawrence', 0.9996045827865601)], [[[1248.0, 764.0], [1506.0, 764.0], [1506.0, 804.0], [1248.0, 804.0]], ('James-Jones', 0.998444139957428)], [[[203.0, 807.0], [864.0, 811.0], [864.0, 862.0], [203.0, 859.0]], ('53569 Angelica Island Apt. 529', 0.9755563735961914)], [[[1248.0, 811.0], [1562.0, 811.0], [1562.0, 862.0], [1248.0, 862.0]], ('90829 Jill Plain', 0.987687349319458)], [[[207.0, 866.0], [716.0, 866.0], [716.0, 914.0], [207.0, 914.0]], ('Margaretton, WA 58752', 0.9919527769088745)], [[[1244.0, 866.0], [1695.0, 866.0], [1695.0, 914.0], [1244.0, 914.0]], ('East Stacy, PA 48537', 0.9811946153640747)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 979-79-5668', 0.9942538738250732)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 902-99-4991', 0.9957006573677063)], [[[207.0, 1027.0], [912.0, 1027.0], [912.0, 1074.0], [207.0, 1074.0]], ('IBAN: GB24EIHI61175775509020', 0.9798550605773926)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1344.0, 1261.0], [1532.0, 1261.0], [1532.0, 1312.0], [1344.0, 1312.0]], ('Net price', 0.9999423623085022)], [[[1837.0, 1256.0], [2006.0, 1265.0], [2003.0, 1316.0], [1834.0, 1307.0]], ('VAT [%]', 0.999139666557312)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1418.0, 1392.0], [1532.0, 1392.0], [1532.0, 1443.0], [1418.0, 1443.0]], ('22,77', 0.9994266629219055)], [[[1654.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1654.0, 1443.0]], ('113,85', 0.9993540644645691)], [[[1909.0, 1383.0], [2007.0, 1394.0], [2000.0, 1449.0], [1903.0, 1438.0]], ('10%', 0.9999048113822937)], [[[2122.0, 1384.0], [2257.0, 1393.0], [2253.0, 1445.0], [2118.0, 1435.0]], ('125,23', 0.9990694522857666)], [[[358.0, 1400.0], [816.0, 1400.0], [816.0, 1436.0], [358.0, 1436.0]], ('Vintage Gothic Lolita Dress', 0.9815459847450256)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('5,00', 0.9872055053710938)], [[[258.0, 1407.0], [277.0, 1407.0], [277.0, 1429.0], [258.0, 1429.0]], ('1', 0.9433960914611816)], [[[1145.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1145.0, 1440.0]], (' each', 0.913709819316864)], [[[354.0, 1436.0], [882.0, 1436.0], [882.0, 1484.0], [354.0, 1484.0]], ('Women Loose Puff Sleeve Pure', 0.9995647072792053)], [[[358.0, 1476.0], [742.0, 1480.0], [742.0, 1520.0], [358.0, 1516.0]], ('Color Princess Dresses', 0.9937604665756226)], [[[351.0, 1560.0], [897.0, 1568.0], [897.0, 1615.0], [350.0, 1608.0]], (' Xhilaration Womens L Burgandy', 0.9896320700645447)], [[[1672.0, 1564.0], [1787.0, 1564.0], [1787.0, 1615.0], [1672.0, 1615.0]], ('59,80', 0.9952476620674133)], [[[1913.0, 1555.0], [2010.0, 1566.0], [2005.0, 1617.0], [1907.0, 1606.0]], ('10%', 0.9929680228233337)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[1008.0, 1568.0], [1097.0, 1568.0], [1097.0, 1608.0], [1008.0, 1608.0]], ('4,00', 0.9974629282951355)], [[[1148.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1148.0, 1611.0]], ('each', 0.9977310299873352)], [[[1429.0, 1568.0], [1532.0, 1568.0], [1532.0, 1615.0], [1429.0, 1615.0]], ('14,95', 0.9997140765190125)], [[[2145.0, 1564.0], [2256.0, 1564.0], [2256.0, 1615.0], [2145.0, 1615.0]], ('65,78', 0.9993097186088562)], [[[354.0, 1608.0], [893.0, 1608.0], [893.0, 1655.0], [354.0, 1655.0]], ('Boho Embroidered Festival Mini', 0.9965062737464905)], [[[358.0, 1655.0], [546.0, 1655.0], [546.0, 1692.0], [358.0, 1692.0]], ('Dress NEW', 0.9873374104499817)], [[[351.0, 1739.0], [886.0, 1739.0], [886.0, 1787.0], [351.0, 1787.0]], (' Leopard Print Large Dress With', 0.9797122478485107)], [[[1004.0, 1739.0], [1108.0, 1739.0], [1108.0, 1787.0], [1004.0, 1787.0]], ('5,00', 0.9970200061798096)], [[[1145.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1145.0, 1783.0]], (' each', 0.931943416595459)], [[[1421.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1421.0, 1787.0]], ('39,00', 0.9953025579452515)], [[[1654.0, 1736.0], [1787.0, 1736.0], [1787.0, 1787.0], [1654.0, 1787.0]], ('195,00', 0.9994567036628723)], [[[1912.0, 1739.0], [2005.0, 1739.0], [2005.0, 1783.0], [1912.0, 1783.0]], ('10%', 0.9955744743347168)], [[[2123.0, 1736.0], [2256.0, 1736.0], [2256.0, 1787.0], [2123.0, 1787.0]], ('214,50', 0.9997611045837402)], [[[251.0, 1747.0], [284.0, 1747.0], [284.0, 1776.0], [251.0, 1776.0]], ('3.', 0.9897561073303223)], [[[358.0, 1787.0], [768.0, 1787.0], [768.0, 1823.0], [358.0, 1823.0]], ('Pockets & Floral Sleeves', 0.9862878322601318)], [[[354.0, 1827.0], [716.0, 1827.0], [716.0, 1864.0], [354.0, 1864.0]], ('HoneyMe Size L NWT', 0.9968068599700928)], [[[1441.0, 1899.0], [1534.0, 1909.0], [1528.0, 1964.0], [1434.0, 1953.0]], ('8,99', 0.999726414680481)], [[[1909.0, 1899.0], [2007.0, 1909.0], [2000.0, 1964.0], [1903.0, 1953.0]], ('10%', 0.9993720054626465)], [[[354.0, 1911.0], [875.0, 1911.0], [875.0, 1959.0], [354.0, 1959.0]], ('1920s Flapper Gatsby Cocktail', 0.999931812286377)], [[[1008.0, 1911.0], [1097.0, 1911.0], [1097.0, 1955.0], [1008.0, 1955.0]], ('1,00', 0.9954820275306702)], [[[1148.0, 1915.0], [1252.0, 1915.0], [1252.0, 1962.0], [1148.0, 1962.0]], ('each', 0.9955611824989319)], [[[1695.0, 1911.0], [1783.0, 1911.0], [1783.0, 1955.0], [1695.0, 1955.0]], ('8,99', 0.9991135001182556)], [[[2167.0, 1911.0], [2256.0, 1911.0], [2256.0, 1955.0], [2167.0, 1955.0]], ('9,89', 0.9982537627220154)], [[[249.0, 1931.0], [266.0, 1915.0], [286.0, 1935.0], [270.0, 1951.0]], ('4', 0.7881230115890503)], [[[355.0, 1951.0], [842.0, 1955.0], [842.0, 2003.0], [354.0, 1999.0]], ('Dress Chiffon Wedding Party', 0.9999234080314636)], [[[355.0, 1995.0], [764.0, 1999.0], [764.0, 2039.0], [354.0, 2035.0]], ('Evening Formal Dresses', 0.9992978572845459)], [[[1421.0, 2079.0], [1532.0, 2079.0], [1532.0, 2130.0], [1421.0, 2130.0]], ('35,00', 0.9979814291000366)], [[[1672.0, 2079.0], [1787.0, 2079.0], [1787.0, 2130.0], [1672.0, 2130.0]], ('35,00', 0.9995333552360535)], [[[1909.0, 2070.0], [2010.0, 2081.0], [2004.0, 2136.0], [1903.0, 2125.0]], ('10%', 0.9998750686645508)], [[[354.0, 2083.0], [879.0, 2083.0], [879.0, 2130.0], [354.0, 2130.0]], ('Boden Size 8 US Green & Navy', 0.9799622297286987)], [[[1004.0, 2087.0], [1097.0, 2087.0], [1097.0, 2127.0], [1004.0, 2127.0]], ('1,00', 0.9759235382080078)], [[[1141.0, 2083.0], [1252.0, 2083.0], [1252.0, 2134.0], [1141.0, 2134.0]], (' each', 0.9459221959114075)], [[[2145.0, 2079.0], [2256.0, 2079.0], [2256.0, 2130.0], [2145.0, 2130.0]], ('38,50', 0.9996918439865112)], [[[258.0, 2097.0], [281.0, 2097.0], [281.0, 2116.0], [258.0, 2116.0]], ('5', 0.9746652841567993)], [[[358.0, 2130.0], [893.0, 2130.0], [893.0, 2167.0], [358.0, 2167.0]], ('Dark Blue Belted Midi Wool Knit', 0.9882265329360962)], [[[351.0, 2167.0], [676.0, 2171.0], [675.0, 2211.0], [351.0, 2207.0]], ('Sweater Fall Dress', 0.969714879989624)], [[[354.0, 2255.0], [831.0, 2255.0], [831.0, 2302.0], [354.0, 2302.0]], ('14 Colors Women Spaghetti', 0.9910994172096252)], [[[1008.0, 2258.0], [1097.0, 2258.0], [1097.0, 2302.0], [1008.0, 2302.0]], ('4,00', 0.9925056099891663)], [[[1145.0, 2258.0], [1248.0, 2258.0], [1248.0, 2306.0], [1145.0, 2306.0]], ('each', 0.9988183379173279)], [[[1440.0, 2251.0], [1532.0, 2251.0], [1532.0, 2306.0], [1440.0, 2306.0]], ('4,71', 0.9991797208786011)], [[[1672.0, 2255.0], [1787.0, 2255.0], [1787.0, 2306.0], [1672.0, 2306.0]], ('18,84', 0.9992440342903137)], [[[1912.0, 2258.0], [2005.0, 2258.0], [2005.0, 2302.0], [1912.0, 2302.0]], ('10%', 0.9959924221038818)], [[[2145.0, 2255.0], [2256.0, 2255.0], [2256.0, 2306.0], [2145.0, 2306.0]], ('20,72', 0.9995769262313843)], [[[258.0, 2269.0], [277.0, 2269.0], [277.0, 2291.0], [258.0, 2291.0]], ('6', 0.834687352180481)], [[[351.0, 2291.0], [886.0, 2299.0], [886.0, 2346.0], [350.0, 2338.0]], ('Strap Bodycon Mini Dress Sexy', 0.9913164377212524)], [[[355.0, 2335.0], [776.0, 2343.0], [775.0, 2390.0], [354.0, 2382.0]], ('Party Club Wear Dresses', 0.999179482460022)], [[[1421.0, 2418.0], [1534.0, 2428.0], [1529.0, 2483.0], [1416.0, 2472.0]], ('21,23', 0.9993523359298706)], [[[1672.0, 2423.0], [1787.0, 2423.0], [1787.0, 2474.0], [1672.0, 2474.0]], ('21,23', 0.9987298250198364)], [[[1913.0, 2414.0], [2007.0, 2425.0], [2000.0, 2479.0], [1907.0, 2468.0]], ('10%', 0.9996938705444336)], [[[2145.0, 2414.0], [2257.0, 2424.0], [2252.0, 2479.0], [2140.0, 2469.0]], ('23,35', 0.9975401759147644)], [[[255.0, 2434.0], [284.0, 2434.0], [284.0, 2467.0], [255.0, 2467.0]], ('7.', 0.9798768758773804)], [[[351.0, 2426.0], [879.0, 2426.0], [879.0, 2474.0], [351.0, 2474.0]], ('Lands End Womens 3/4 Sleeve', 0.9982765913009644)], [[[1008.0, 2430.0], [1097.0, 2430.0], [1097.0, 2470.0], [1008.0, 2470.0]], ('1,00', 0.9942588806152344)], [[[1145.0, 2430.0], [1248.0, 2430.0], [1248.0, 2478.0], [1145.0, 2478.0]], (' each', 0.913351833820343)], [[[358.0, 2474.0], [871.0, 2474.0], [871.0, 2510.0], [358.0, 2510.0]], ('Dress Plus 3X Navy Blue Floral', 0.9830297231674194)], [[[358.0, 2518.0], [687.0, 2518.0], [687.0, 2554.0], [358.0, 2554.0]], ('Cotton Knit482038', 0.9698258638381958)], [[[192.0, 2653.0], [491.0, 2653.0], [491.0, 2704.0], [192.0, 2704.0]], ('SUMMARY', 0.9965528845787048)], [[[954.0, 2769.0], [1123.0, 2778.0], [1121.0, 2829.0], [952.0, 2820.0]], ('VAT [%]', 0.9980416893959045)], [[[1388.0, 2781.0], [1588.0, 2781.0], [1588.0, 2821.0], [1388.0, 2821.0]], ('Net worth', 0.9931485652923584)], [[[1776.0, 2774.0], [1872.0, 2774.0], [1872.0, 2828.0], [1776.0, 2828.0]], ('VAT', 0.7573460936546326)], [[[2023.0, 2777.0], [2256.0, 2777.0], [2256.0, 2817.0], [2023.0, 2817.0]], ('Gross worth', 0.9993022680282593)], [[[993.0, 2861.0], [1085.0, 2861.0], [1085.0, 2916.0], [993.0, 2916.0]], ('10%', 0.9129233360290527)], [[[1458.0, 2861.0], [1591.0, 2861.0], [1591.0, 2912.0], [1458.0, 2912.0]], ('452,71', 0.9998373985290527)], [[[1753.0, 2856.0], [1870.0, 2866.0], [1865.0, 2921.0], [1749.0, 2911.0]], ('45,27', 0.9969125986099243)], [[[2134.0, 2861.0], [2267.0, 2861.0], [2267.0, 2912.0], [2134.0, 2912.0]], ('497,98', 0.9993906021118164)], [[[746.0, 2953.0], [857.0, 2953.0], [857.0, 3004.0], [746.0, 3004.0]], ('Total', 0.9998736381530762)], [[[1410.0, 2953.0], [1588.0, 2953.0], [1588.0, 3004.0], [1410.0, 3004.0]], ('$ 452,71', 0.998371958732605)], [[[1713.0, 2953.0], [1864.0, 2953.0], [1864.0, 3004.0], [1713.0, 3004.0]], ('$ 45,27', 0.9933434724807739)], [[[2082.0, 2953.0], [2263.0, 2953.0], [2263.0, 3004.0], [2082.0, 3004.0]], ('$ 497,98', 0.9965757131576538)]]	{'header': {'invoice_no': '82869381', 'invoice_date': '09/16/2016', 'seller': 'King-Lawrence 53569 Angelica Island Apt. 529 Margaretton, WA 58752', 'client': 'James-Jones 90829 Jill Plain East Stacy, PA 48537', 'seller_tax_id': '979-79-5668', 'client_tax_id': '902-99-4991', 'iban': 'GB24EIHI61175775509020'}, 'items': [{'item_desc': 'Vintage Gothic Lolita Dress Women Loose Puff Sleeve Pure Color Princess Dresses', 'item_qty': '5,00', 'item_net_price': '22,77', 'item_net_worth': '113,85', 'item_vat': '10%', 'item_gross_worth': '125,23'}, {'item_desc': 'Xhilaration Womens L Burgandy Boho Embroidered Festival Mini Dress NEW', 'item_qty': '4,00', 'item_net_price': '14,95', 'item_net_worth': '59,80', 'item_vat': '10%', 'item_gross_worth': '65,78'}, {'item_desc': 'Leopard Print Large Dress With Pockets & Floral Sleeves HoneyMe Size L NWT', 'item_qty': '5,00', 'item_net_price': '39,00', 'item_net_worth': '195,00', 'item_vat': '10%', 'item_gross_worth': '214,50'}, {'item_desc': '1920s Flapper Gatsby Cocktail Dress Chiffon Wedding Party Evening Formal Dresses', 'item_qty': '1,00', 'item_net_price': '8,99', 'item_net_worth': '8,99', 'item_vat': '10%', 'item_gross_worth': '9,89'}, {'item_desc': 'Boden Size 8 US Green & Navy Dark Blue Belted Midi Wool Knit Sweater Fall Dress', 'item_qty': '1,00', 'item_net_price': '35,00', 'item_net_worth': '35,00', 'item_vat': '10%', 'item_gross_worth': '38,50'}, {'item_desc': '14 Colors Women Spaghetti Strap Bodycon Mini Dress Sexy Party Club Wear Dresses', 'item_qty': '4,00', 'item_net_price': '4,71', 'item_net_worth': '18,84', 'item_vat': '10%', 'item_gross_worth': '20,72'}, {'item_desc': 'Lands End Womens 3/4 Sleeve Dress Plus 3X Navy Blue Floral Cotton Knit 482038', 'item_qty': '1,00', 'item_net_price': '21,23', 'item_net_worth': '21,23', 'item_vat': '10%', 'item_gross_worth': '23,35'}], 'summary': {'total_net_worth': '$ 452,71', 'total_vat': '$45,27', 'total_gross_worth': '$ 497,98'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [801.0, 110.0], [801.0, 161.0], [196.0, 161.0]], ('Invoice no: 95877096', 0.9964016079902649)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9985760450363159)], [[[1204.0, 216.0], [1469.0, 216.0], [1469.0, 256.0], [1204.0, 256.0]], ('07/01/2016', 0.9998005032539368)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[1240.0, 661.0], [1429.0, 661.0], [1429.0, 720.0], [1240.0, 720.0]], ('Client:', 0.9994950890541077)], [[[210.0, 756.0], [790.0, 756.0], [790.0, 808.0], [210.0, 808.0]], ('Allen, Johnson and Edwards.', 0.9875547885894775)], [[[1248.0, 760.0], [1861.0, 760.0], [1861.0, 808.0], [1248.0, 808.0]], ('Gomez, Mercado and Nichols.', 0.978888988494873)], [[[210.0, 811.0], [639.0, 811.0], [639.0, 862.0], [210.0, 862.0]], ('PSC 9667, Box 7958', 0.9982419610023499)], [[[1244.0, 807.0], [1820.0, 811.0], [1820.0, 863.0], [1244.0, 859.0]], ('87208 Ashlee Key Apt. 869', 0.9805105328559875)], [[[207.0, 866.0], [517.0, 866.0], [517.0, 914.0], [207.0, 914.0]], ('APO AP 21099', 0.9986767768859863)], [[[1248.0, 866.0], [1809.0, 866.0], [1809.0, 917.0], [1248.0, 917.0]], ('West Kristyport, DC 95110', 0.9844738245010376)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 934-85-9139', 0.993503987789154)], [[[1248.0, 972.0], [1680.0, 972.0], [1680.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 982-91-0259', 0.9928842782974243)], [[[207.0, 1020.0], [960.0, 1020.0], [960.0, 1067.0], [207.0, 1067.0]], ('IBAN: GB72BFWW33335534496245', 0.9893659353256226)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1418.0, 1392.0], [1532.0, 1392.0], [1532.0, 1443.0], [1418.0, 1443.0]], ('69,96', 0.9986945986747742)], [[[1654.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1654.0, 1443.0]], ('349,80', 0.9992520809173584)], [[[1909.0, 1383.0], [2007.0, 1394.0], [2000.0, 1449.0], [1903.0, 1438.0]], ('10%', 0.9999048113822937)], [[[358.0, 1400.0], [875.0, 1400.0], [875.0, 1436.0], [358.0, 1436.0]], ('Vintage AGB Black Velvet Maxi', 0.9659361839294434)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('5,00', 0.9872055053710938)], [[[1148.0, 1400.0], [1244.0, 1400.0], [1244.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9988933801651001)], [[[2127.0, 1392.0], [2259.0, 1392.0], [2259.0, 1443.0], [2127.0, 1443.0]], ('384,78', 0.9996528029441833)], [[[247.0, 1418.0], [266.0, 1400.0], [284.0, 1418.0], [266.0, 1436.0]], ('1', 0.5786685943603516)], [[[354.0, 1443.0], [757.0, 1443.0], [757.0, 1480.0], [354.0, 1480.0]], ('Dress L Mandarin Collar', 0.9981613159179688)], [[[1676.0, 1524.0], [1787.0, 1524.0], [1787.0, 1575.0], [1676.0, 1575.0]], ('11,96', 0.999444842338562)], [[[1909.0, 1515.0], [2007.0, 1526.0], [2000.0, 1580.0], [1903.0, 1569.0]], ('10%', 0.9919328689575195)], [[[358.0, 1527.0], [735.0, 1527.0], [735.0, 1564.0], [358.0, 1564.0]], ('NEW NWT OPEN BACK', 0.9952234625816345)], [[[1008.0, 1527.0], [1093.0, 1527.0], [1093.0, 1571.0], [1008.0, 1571.0]], ('4,00', 0.9987012147903442)], [[[1152.0, 1527.0], [1244.0, 1527.0], [1244.0, 1571.0], [1152.0, 1571.0]], ('each', 0.9990001320838928)], [[[1444.0, 1527.0], [1528.0, 1527.0], [1528.0, 1571.0], [1444.0, 1571.0]], ('2,99', 0.999875545501709)], [[[2145.0, 1524.0], [2259.0, 1524.0], [2259.0, 1575.0], [2145.0, 1575.0]], ('13,16', 0.999677300453186)], [[[355.0, 1564.0], [783.0, 1568.0], [782.0, 1608.0], [354.0, 1604.0]], ('XHILERATION PLUM LACY', 0.9870280027389526)], [[[351.0, 1604.0], [871.0, 1608.0], [871.0, 1655.0], [351.0, 1652.0]], ('DRESS WOMENS SIZE MEDIUM', 0.9978249669075012)], [[[358.0, 1655.0], [461.0, 1655.0], [461.0, 1696.0], [358.0, 1696.0]], ('10/12', 0.9999264478683472)], [[[354.0, 1739.0], [801.0, 1739.0], [801.0, 1787.0], [354.0, 1787.0]], ('Athleta Coral Paisley Print', 0.9821409583091736)], [[[1008.0, 1739.0], [1097.0, 1739.0], [1097.0, 1783.0], [1008.0, 1783.0]], ('3,00', 0.9891558885574341)], [[[1148.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1148.0, 1783.0]], (' each', 0.9113703966140747)], [[[1421.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1421.0, 1787.0]], ('39,99', 0.997296154499054)], [[[1654.0, 1736.0], [1783.0, 1736.0], [1783.0, 1787.0], [1654.0, 1787.0]], ('119,97', 0.9996433258056641)], [[[1916.0, 1739.0], [2001.0, 1739.0], [2001.0, 1783.0], [1916.0, 1783.0]], ('10%', 0.9996688961982727)], [[[2127.0, 1736.0], [2256.0, 1736.0], [2256.0, 1787.0], [2127.0, 1787.0]], ('131,97', 0.9997482299804688)], [[[255.0, 1747.0], [284.0, 1747.0], [284.0, 1780.0], [255.0, 1780.0]], ('3.', 0.9913963675498962)], [[[358.0, 1783.0], [864.0, 1783.0], [864.0, 1831.0], [358.0, 1831.0]], ('Stretch Ruching Wrap Athletic', 0.9897646307945251)], [[[358.0, 1827.0], [565.0, 1827.0], [565.0, 1864.0], [358.0, 1864.0]], ('Dress Size L', 0.9984754920005798)], [[[192.0, 1962.0], [491.0, 1962.0], [491.0, 2013.0], [192.0, 2013.0]], ('SUMMARY', 0.9965361952781677)], [[[954.0, 2078.0], [1123.0, 2087.0], [1121.0, 2139.0], [952.0, 2130.0]], ('VAT [%]', 0.9988380670547485)], [[[1776.0, 2074.0], [1874.0, 2085.0], [1868.0, 2139.0], [1770.0, 2129.0]], ('VAT', 0.9557650089263916)], [[[1388.0, 2090.0], [1588.0, 2090.0], [1588.0, 2130.0], [1388.0, 2130.0]], ('Net worth', 0.9820273518562317)], [[[2027.0, 2094.0], [2256.0, 2094.0], [2256.0, 2130.0], [2027.0, 2130.0]], ('Gross worth', 0.9998905062675476)], [[[997.0, 2178.0], [1082.0, 2178.0], [1082.0, 2222.0], [997.0, 2222.0]], ('10%', 0.9996705055236816)], [[[1462.0, 2174.0], [1591.0, 2174.0], [1591.0, 2225.0], [1462.0, 2225.0]], ('481,73', 0.9997444748878479)], [[[1757.0, 2174.0], [1868.0, 2174.0], [1868.0, 2225.0], [1757.0, 2225.0]], ('48,17', 0.9997894167900085)], [[[2130.0, 2174.0], [2267.0, 2174.0], [2267.0, 2225.0], [2130.0, 2225.0]], ('529,90', 0.9912736415863037)], [[[749.0, 2269.0], [853.0, 2269.0], [853.0, 2309.0], [749.0, 2309.0]], ('Total', 0.999843418598175)], [[[1410.0, 2266.0], [1591.0, 2266.0], [1591.0, 2317.0], [1410.0, 2317.0]], ('$ 481,73', 0.996272623538971)], [[[1713.0, 2266.0], [1864.0, 2266.0], [1864.0, 2317.0], [1713.0, 2317.0]], ('$ 48,17', 0.9912470579147339)], [[[2086.0, 2269.0], [2259.0, 2269.0], [2259.0, 2309.0], [2086.0, 2309.0]], ('$ 529,90', 0.9407781362533569)]]	{'header': {'invoice_no': '95877096', 'invoice_date': '07/01/2016', 'seller': 'Allen, Johnson and Edwards PSC 9667, Box 7958 APO AP 21099', 'client': 'Gomez, Mercado and Nichols 87208 Ashlee Key Apt. 869 West Kristyport, DC 95110', 'client_tax_id': '982-91-0259', 'iban': 'GB72BFWW33335534496245'}, 'items': [{'seller_tax_id': '934-85-9139', 'item_desc': 'Vintage AGB Black Velvet Maxi Dress L Mandarin Collar', 'item_qty': '5,00', 'item_net_price': '69,96', 'item_net_worth': '349,80', 'item_vat': '10%', 'item_gross_worth': '384,78'}, {'item_desc': 'NEW NWT OPEN BACK XHILERATION PLUM LACY DRESS WOMENS SIZE MEDIUM 10/12', 'item_qty': '4,00', 'item_net_price': '2,99', 'item_net_worth': '11,96', 'item_vat': '10%', 'item_gross_worth': '13,16'}, {'item_desc': 'Athleta Coral Paisley Print Stretch Ruching Wrap Athletic Dress Size L', 'item_qty': '3,00', 'item_net_price': '39,99', 'item_net_worth': '119,97', 'item_vat': '10%', 'item_gross_worth': '131,97'}], 'summary': {'total_net_worth': '$ 481,73', 'total_vat': '$ 48,17', 'total_gross_worth': '$ 529,90'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [801.0, 110.0], [801.0, 161.0], [196.0, 161.0]], ('Invoice no: 85583861', 0.9981099367141724)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9982031583786011)], [[[1204.0, 216.0], [1469.0, 216.0], [1469.0, 256.0], [1204.0, 256.0]], ('11/29/2020', 0.9997109174728394)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1239.0, 653.0], [1426.0, 662.0], [1423.0, 724.0], [1236.0, 715.0]], ('Client:', 0.9993823170661926)], [[[207.0, 756.0], [543.0, 756.0], [543.0, 808.0], [207.0, 808.0]], ('Wong and Sons', 0.9843769669532776)], [[[1245.0, 753.0], [1639.0, 757.0], [1639.0, 808.0], [1244.0, 804.0]], ('Blankenship-Yates', 0.9996774196624756)], [[[210.0, 811.0], [875.0, 811.0], [875.0, 859.0], [210.0, 859.0]], ('10592 Elizabeth Keys Suite 381', 0.9995437860488892)], [[[1248.0, 811.0], [1861.0, 811.0], [1861.0, 859.0], [1248.0, 859.0]], ('4664 Wilson Plains Suite 213', 0.9977840185165405)], [[[207.0, 866.0], [639.0, 866.0], [639.0, 914.0], [207.0, 914.0]], ('North Lisa, HI 19378', 0.9940981864929199)], [[[1244.0, 866.0], [1857.0, 866.0], [1857.0, 914.0], [1244.0, 914.0]], ('West Jefferyburgh, SC 27960', 0.9986096024513245)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 941-85-4578', 0.990395188331604)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 907-72-1967', 0.986473560333252)], [[[207.0, 1027.0], [953.0, 1027.0], [953.0, 1074.0], [207.0, 1074.0]], ('IBAN: GB17MQAC89822770952394', 0.9951549172401428)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1909.0, 1383.0], [2007.0, 1394.0], [2000.0, 1449.0], [1903.0, 1438.0]], ('10%', 0.9999048113822937)], [[[2125.0, 1384.0], [2253.0, 1393.0], [2250.0, 1444.0], [2122.0, 1435.0]], ('142,99', 0.9994236826896667)], [[[358.0, 1400.0], [875.0, 1400.0], [875.0, 1436.0], [358.0, 1436.0]], ('Super Nintendo Entertainment', 0.9805741906166077)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('1,00', 0.9984493255615234)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[1403.0, 1396.0], [1528.0, 1396.0], [1528.0, 1436.0], [1403.0, 1436.0]], ('129,99', 0.9837308526039124)], [[[1658.0, 1396.0], [1783.0, 1396.0], [1783.0, 1436.0], [1658.0, 1436.0]], ('129,99', 0.9836351871490479)], [[[258.0, 1407.0], [277.0, 1407.0], [277.0, 1429.0], [258.0, 1429.0]], ('1', 0.9433960914611816)], [[[358.0, 1436.0], [860.0, 1436.0], [860.0, 1484.0], [358.0, 1484.0]], ('System SNES Console Bundle', 0.9954723119735718)], [[[351.0, 1472.0], [798.0, 1480.0], [797.0, 1528.0], [350.0, 1520.0]], ('W/ 2 Controllers & Games', 0.9738309383392334)], [[[355.0, 1560.0], [798.0, 1568.0], [797.0, 1615.0], [354.0, 1608.0]], ('Original Nintendo Gaming', 0.9997357726097107)], [[[1654.0, 1564.0], [1787.0, 1564.0], [1787.0, 1615.0], [1654.0, 1615.0]], ('950,00', 0.9989627003669739)], [[[1913.0, 1555.0], [2007.0, 1566.0], [2001.0, 1617.0], [1907.0, 1606.0]], ('10%', 0.9992581009864807)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[1008.0, 1568.0], [1097.0, 1568.0], [1097.0, 1608.0], [1008.0, 1608.0]], ('2,00', 0.9984091520309448)], [[[1148.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1148.0, 1611.0]], ('each', 0.9977310299873352)], [[[1403.0, 1568.0], [1528.0, 1568.0], [1528.0, 1608.0], [1403.0, 1608.0]], ('475,00', 0.9987366795539856)], [[[2097.0, 1568.0], [2252.0, 1568.0], [2252.0, 1608.0], [2097.0, 1608.0]], ('1045,00', 0.9980542063713074)], [[[354.0, 1608.0], [890.0, 1608.0], [890.0, 1655.0], [354.0, 1655.0]], ('Console with Robot, 9 games &', 0.9979845881462097)], [[[358.0, 1655.0], [469.0, 1655.0], [469.0, 1692.0], [358.0, 1692.0]], ('extras', 0.9993546009063721)], [[[355.0, 1739.0], [897.0, 1743.0], [897.0, 1783.0], [354.0, 1780.0]], ('Pre Order New Sony PlayStation.', 0.9536353349685669)], [[[1008.0, 1739.0], [1097.0, 1739.0], [1097.0, 1783.0], [1008.0, 1783.0]], ('4,00', 0.976862370967865)], [[[1399.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1399.0, 1787.0]], ('850,00', 0.9984424710273743)], [[[1619.0, 1731.0], [1784.0, 1740.0], [1781.0, 1791.0], [1616.0, 1782.0]], (' 3 400,00', 0.9471538066864014)], [[[1148.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1148.0, 1783.0]], (' each', 0.9113703966140747)], [[[1912.0, 1739.0], [2005.0, 1739.0], [2005.0, 1783.0], [1912.0, 1783.0]], ('10%', 0.9955744743347168)], [[[2093.0, 1736.0], [2256.0, 1736.0], [2256.0, 1787.0], [2093.0, 1787.0]], ('3 740,00', 0.9977269768714905)], [[[251.0, 1747.0], [284.0, 1747.0], [284.0, 1776.0], [251.0, 1776.0]], ('3.', 0.9897561073303223)], [[[358.0, 1787.0], [845.0, 1787.0], [845.0, 1823.0], [358.0, 1823.0]], ('5 Console Disk Version Ships', 0.9699968099594116)], [[[354.0, 1827.0], [724.0, 1827.0], [724.0, 1864.0], [354.0, 1864.0]], ('Fast 11/12 Confirmed', 0.9670277833938599)], [[[354.0, 1907.0], [864.0, 1907.0], [864.0, 1955.0], [354.0, 1955.0]], ('Sega Genesis System Console', 0.9842253923416138)], [[[1421.0, 1907.0], [1532.0, 1907.0], [1532.0, 1959.0], [1421.0, 1959.0]], ('89,99', 0.9991035461425781)], [[[1650.0, 1907.0], [1783.0, 1907.0], [1783.0, 1959.0], [1650.0, 1959.0]], ('269,97', 0.9996129870414734)], [[[1909.0, 1899.0], [2007.0, 1909.0], [2000.0, 1964.0], [1903.0, 1953.0]], ('10%', 0.9993720054626465)], [[[1008.0, 1911.0], [1097.0, 1911.0], [1097.0, 1955.0], [1008.0, 1955.0]], ('3,00', 0.9963178634643555)], [[[1152.0, 1915.0], [1244.0, 1915.0], [1244.0, 1959.0], [1152.0, 1959.0]], ('each', 0.9990523457527161)], [[[2123.0, 1907.0], [2256.0, 1907.0], [2256.0, 1959.0], [2123.0, 1959.0]], ('296,97', 0.9997312426567078)], [[[251.0, 1922.0], [284.0, 1922.0], [284.0, 1951.0], [251.0, 1951.0]], ('4.', 0.9907228946685791)], [[[358.0, 1959.0], [779.0, 1959.0], [779.0, 1995.0], [358.0, 1995.0]], ('Controller Games Bundle', 0.9975746870040894)], [[[351.0, 2043.0], [720.0, 2043.0], [720.0, 2090.0], [351.0, 2090.0]], (' Magnavox Odyssey 2', 0.9896841645240784)], [[[1008.0, 2043.0], [1097.0, 2043.0], [1097.0, 2087.0], [1008.0, 2087.0]], ('4,00', 0.9856242537498474)], [[[1152.0, 2043.0], [1248.0, 2043.0], [1248.0, 2087.0], [1152.0, 2087.0]], ('each', 0.9987853765487671)], [[[1403.0, 2043.0], [1528.0, 2043.0], [1528.0, 2083.0], [1403.0, 2083.0]], ('155,00', 0.9787807464599609)], [[[1654.0, 2039.0], [1787.0, 2039.0], [1787.0, 2090.0], [1654.0, 2090.0]], ('620,00', 0.9982182383537292)], [[[1916.0, 2043.0], [2001.0, 2043.0], [2001.0, 2087.0], [1916.0, 2087.0]], ('10%', 0.9996157288551331)], [[[2127.0, 2039.0], [2256.0, 2039.0], [2256.0, 2090.0], [2127.0, 2090.0]], ('682,00', 0.9982088208198547)], [[[251.0, 2050.0], [284.0, 2050.0], [284.0, 2079.0], [251.0, 2079.0]], ('5.', 0.9956701993942261)], [[[354.0, 2083.0], [893.0, 2083.0], [893.0, 2130.0], [354.0, 2130.0]], ('Microprocessor Console System', 0.9938984513282776)], [[[358.0, 2130.0], [893.0, 2130.0], [893.0, 2167.0], [358.0, 2167.0]], ('w Joy Sticks & 15 Games - 1978', 0.9806400537490845)], [[[355.0, 2211.0], [879.0, 2215.0], [878.0, 2262.0], [354.0, 2258.0]], ('B408 Nintendo Gameboy Color', 0.9979162812232971)], [[[1008.0, 2214.0], [1097.0, 2214.0], [1097.0, 2258.0], [1008.0, 2258.0]], ('4,00', 0.9967654943466187)], [[[1148.0, 2218.0], [1248.0, 2218.0], [1248.0, 2258.0], [1148.0, 2258.0]], ('each', 0.9968607425689697)], [[[1421.0, 2211.0], [1532.0, 2211.0], [1532.0, 2262.0], [1421.0, 2262.0]], ('74,99', 0.9997774362564087)], [[[1650.0, 2211.0], [1787.0, 2211.0], [1787.0, 2262.0], [1650.0, 2262.0]], ('299,96', 0.9988983273506165)], [[[1912.0, 2214.0], [2001.0, 2214.0], [2001.0, 2258.0], [1912.0, 2258.0]], ('10%', 0.996985673904419)], [[[2127.0, 2211.0], [2259.0, 2211.0], [2259.0, 2262.0], [2127.0, 2262.0]], ('329,96', 0.9995923042297363)], [[[258.0, 2229.0], [284.0, 2229.0], [284.0, 2255.0], [258.0, 2255.0]], ('O.', 0.7248190641403198)], [[[358.0, 2262.0], [775.0, 2262.0], [775.0, 2298.0], [358.0, 2298.0]], ('console Ice Blue Toysrus', 0.9855510592460632)], [[[354.0, 2298.0], [809.0, 2298.0], [809.0, 2346.0], [354.0, 2346.0]], ('Limited Japan GBC REAR x', 0.9956557154655457)], [[[192.0, 2437.0], [491.0, 2437.0], [491.0, 2488.0], [192.0, 2488.0]], ('SUMMARY', 0.9958712458610535)], [[[956.0, 2562.0], [1122.0, 2562.0], [1122.0, 2613.0], [956.0, 2613.0]], ('VAT [%]', 0.9993457794189453)], [[[1772.0, 2553.0], [1874.0, 2563.0], [1868.0, 2614.0], [1767.0, 2604.0]], ('VAT', 0.6819877028465271)], [[[1388.0, 2565.0], [1588.0, 2565.0], [1588.0, 2605.0], [1388.0, 2605.0]], ('Net worth', 0.985179603099823)], [[[2023.0, 2565.0], [2256.0, 2565.0], [2256.0, 2602.0], [2023.0, 2602.0]], ('Gross worth', 0.9976785182952881)], [[[1423.0, 2641.0], [1592.0, 2650.0], [1589.0, 2701.0], [1420.0, 2692.0]], ('5 669,92', 0.9983015656471252)], [[[1735.0, 2649.0], [1868.0, 2649.0], [1868.0, 2700.0], [1735.0, 2700.0]], ('566,99', 0.9994795918464661)], [[[2095.0, 2641.0], [2264.0, 2650.0], [2261.0, 2701.0], [2092.0, 2692.0]], ('6 236,91', 0.9566968679428101)], [[[997.0, 2653.0], [1082.0, 2653.0], [1082.0, 2697.0], [997.0, 2697.0]], ('10%', 0.9998807907104492)], [[[745.0, 2732.0], [858.0, 2742.0], [853.0, 2793.0], [741.0, 2783.0]], ('Total', 0.9998594522476196)], [[[1377.0, 2741.0], [1584.0, 2741.0], [1584.0, 2781.0], [1377.0, 2781.0]], ('$ 5 669,92', 0.9785454869270325)], [[[1695.0, 2744.0], [1861.0, 2744.0], [1861.0, 2784.0], [1695.0, 2784.0]], ('$ 566,99', 0.9936051368713379)], [[[2053.0, 2744.0], [2256.0, 2744.0], [2256.0, 2784.0], [2053.0, 2784.0]], ('$ 6 236,91', 0.9940532445907593)]]	{'header': {'invoice_no': '85583861', 'invoice_date': '11/29/2020', 'seller': 'Wong and Sons 10592 Elizabeth Keys Suite 381 North Lisa, HI 19378', 'client': 'Blankenship-Yates 4664 Wilson Plains Suite 213 West Jefferyburgh, SC 27960', 'seller_tax_id': '941-85-4578', 'client_tax_id': '907-72-1967', 'iban': 'GB17MQAC89822770952394'}, 'items': [{'item_desc': 'Super Nintendo Entertainment System SNES Console Bundle W/ 2 Controllers & Games', 'item_qty': '1,00', 'item_net_price': '129,99', 'item_net_worth': '129,99', 'item_vat': '10%', 'item_gross_worth': '142,99'}, {'item_desc': 'Original Nintendo Gaming Console with Robot, 9 games & extras', 'item_qty': '2,00', 'item_net_price': '475,00', 'item_net_worth': '950,00', 'item_vat': '10%', 'item_gross_worth': '1045,00'}, {'item_desc': 'Pre Order New Sony PlayStation 5 Console Disk Version Ships Fast 11/12 Confirmed', 'item_qty': '4,00', 'item_net_price': '850,00', 'item_net_worth': '3 400,00', 'item_vat': '10%', 'item_gross_worth': '3 740,00'}, {'item_desc': 'Sega Genesis System Console Controller Games Bundle', 'item_qty': '3,00', 'item_net_price': '89,99', 'item_net_worth': '269,97', 'item_vat': '10%', 'item_gross_worth': '296,97'}, {'item_desc': 'Magnavox Odyssey 2 Microprocessor Console System w Joy Sticks & 15 Games - 1978', 'item_qty': '4,00', 'item_net_price': '155,00', 'item_net_worth': '620,00', 'item_vat': '10%', 'item_gross_worth': '682,00'}, {'item_desc': 'B408 Nintendo Gameboy Color console Ice Blue Toysrus Limited Japan GBC REAR x', 'item_qty': '4,00', 'item_net_price': '74,99', 'item_net_worth': '299,96', 'item_vat': '10%', 'item_gross_worth': '329,96'}], 'summary': {'total_net_worth': '$5669,92', 'total_vat': '$ 566,99', 'total_gross_worth': '$6236,91'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [801.0, 110.0], [801.0, 161.0], [196.0, 161.0]], ('Invoice no: 52337235', 0.9983684420585632)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9985776543617249)], [[[1204.0, 216.0], [1469.0, 216.0], [1469.0, 256.0], [1204.0, 256.0]], ('05/30/2020', 0.9993652105331421)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1239.0, 653.0], [1430.0, 662.0], [1427.0, 724.0], [1236.0, 715.0]], ('Client:', 0.9993919134140015)], [[[204.0, 752.0], [624.0, 760.0], [623.0, 808.0], [203.0, 800.0]], (' Nicholson and Sons', 0.9817226529121399)], [[[1248.0, 760.0], [1828.0, 760.0], [1828.0, 808.0], [1248.0, 808.0]], ('Gallegos, Shea and Lawson', 0.9999111294746399)], [[[203.0, 807.0], [558.0, 811.0], [557.0, 863.0], [203.0, 859.0]], ('886 Valerie Way', 0.9997544884681702)], [[[1248.0, 807.0], [1850.0, 811.0], [1849.0, 863.0], [1248.0, 859.0]], ('785 Robin Highway Apt. 834', 0.9901682138442993)], [[[207.0, 866.0], [657.0, 866.0], [657.0, 914.0], [207.0, 914.0]], ('Robertfort, AZ 94445', 0.9996487498283386)], [[[1248.0, 866.0], [1757.0, 866.0], [1757.0, 914.0], [1248.0, 914.0]], ('North Shelby, ND 14461', 0.9927387237548828)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 978-91-5226', 0.9889906644821167)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 976-87-8477', 0.9843475818634033)], [[[207.0, 1023.0], [971.0, 1023.0], [971.0, 1071.0], [207.0, 1071.0]], ('IBAN: GB55WWOZ09523490270230', 0.9848123788833618)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[2125.0, 1384.0], [2261.0, 1393.0], [2257.0, 1445.0], [2122.0, 1435.0]], ('396,00', 0.9962758421897888)], [[[354.0, 1400.0], [831.0, 1400.0], [831.0, 1436.0], [354.0, 1436.0]], ("Nike Kid's Air Jordan 4 Retro", 0.9698880314826965)], [[[1008.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1008.0, 1440.0]], ('3,00', 0.9798600077629089)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[1403.0, 1396.0], [1528.0, 1396.0], [1528.0, 1436.0], [1403.0, 1436.0]], ('120,00', 0.9771872162818909)], [[[1658.0, 1396.0], [1783.0, 1396.0], [1783.0, 1436.0], [1658.0, 1436.0]], ('360,00', 0.9692182540893555)], [[[1916.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1916.0, 1440.0]], ('10%', 0.9995570182800293)], [[[351.0, 1428.0], [728.0, 1436.0], [727.0, 1488.0], [350.0, 1480.0]], ("'Laser' 7y White/Gray", 0.9991742372512817)], [[[358.0, 1480.0], [561.0, 1480.0], [561.0, 1520.0], [358.0, 1520.0]], ('705334-105', 0.9986766576766968)], [[[351.0, 1560.0], [776.0, 1568.0], [775.0, 1615.0], [350.0, 1608.0]], (' Boys Kids Printed Cotton', 0.9810464978218079)], [[[1005.0, 1555.0], [1102.0, 1566.0], [1096.0, 1620.0], [999.0, 1610.0]], ('3,00', 0.997043788433075)], [[[1425.0, 1564.0], [1536.0, 1564.0], [1536.0, 1615.0], [1425.0, 1615.0]], ('19,68', 0.9994877576828003)], [[[1676.0, 1564.0], [1787.0, 1564.0], [1787.0, 1615.0], [1676.0, 1615.0]], ('59,04', 0.9984481930732727)], [[[1913.0, 1555.0], [2007.0, 1566.0], [2001.0, 1617.0], [1907.0, 1606.0]], ('10%', 0.9992581009864807)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[1152.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1152.0, 1611.0]], ('each', 0.9978877305984497)], [[[2152.0, 1564.0], [2256.0, 1564.0], [2256.0, 1611.0], [2152.0, 1611.0]], ('64,94', 0.9994497299194336)], [[[351.0, 1604.0], [739.0, 1612.0], [738.0, 1659.0], [350.0, 1651.0]], ('Slippers Zip Fastening', 0.9832305312156677)], [[[358.0, 1655.0], [554.0, 1655.0], [554.0, 1692.0], [358.0, 1692.0]], ('350172494', 0.9998139142990112)], [[[355.0, 1739.0], [897.0, 1743.0], [897.0, 1783.0], [354.0, 1780.0]], ('Children Place Boys Snow Boots', 0.9991007447242737)], [[[1008.0, 1739.0], [1093.0, 1739.0], [1093.0, 1783.0], [1008.0, 1783.0]], ('3,00', 0.9915010333061218)], [[[1152.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1152.0, 1783.0]], ('each', 0.9987009763717651)], [[[1421.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1421.0, 1787.0]], ('12,40', 0.9994603395462036)], [[[1676.0, 1736.0], [1787.0, 1736.0], [1787.0, 1787.0], [1676.0, 1787.0]], ('37,20', 0.9878409504890442)], [[[1909.0, 1736.0], [2005.0, 1736.0], [2005.0, 1791.0], [1909.0, 1791.0]], ('10%', 0.9998900294303894)], [[[251.0, 1747.0], [284.0, 1747.0], [284.0, 1776.0], [251.0, 1776.0]], ('3.', 0.9897561073303223)], [[[2152.0, 1739.0], [2256.0, 1739.0], [2256.0, 1787.0], [2152.0, 1787.0]], ('40,92', 0.9894502758979797)], [[[358.0, 1827.0], [816.0, 1831.0], [816.0, 1871.0], [358.0, 1867.0]], ('100Pcs Wall Stickers Home', 0.9862826466560364)], [[[1008.0, 1827.0], [1093.0, 1827.0], [1093.0, 1871.0], [1008.0, 1871.0]], ('3,00', 0.9990746378898621)], [[[1440.0, 1823.0], [1532.0, 1823.0], [1532.0, 1878.0], [1440.0, 1878.0]], ('1,70', 0.9996026754379272)], [[[1692.0, 1818.0], [1789.0, 1829.0], [1783.0, 1883.0], [1685.0, 1873.0]], ('5,10', 0.9981855154037476)], [[[1913.0, 1818.0], [2007.0, 1829.0], [2001.0, 1880.0], [1907.0, 1869.0]], ('10%', 0.9987134337425232)], [[[1152.0, 1831.0], [1244.0, 1831.0], [1244.0, 1875.0], [1152.0, 1875.0]], ('each', 0.999234139919281)], [[[2163.0, 1823.0], [2256.0, 1823.0], [2256.0, 1878.0], [2163.0, 1878.0]], ('5,61', 0.9996991157531738)], [[[358.0, 1871.0], [834.0, 1871.0], [834.0, 1907.0], [358.0, 1907.0]], ('Decor Glow In The Dark Star', 0.9958584904670715)], [[[358.0, 1918.0], [753.0, 1918.0], [753.0, 1955.0], [358.0, 1955.0]], ('sticker Decal Kids room', 0.9959131479263306)], [[[192.0, 2054.0], [491.0, 2054.0], [491.0, 2105.0], [192.0, 2105.0]], ('SUMMARY', 0.9969744086265564)], [[[956.0, 2174.0], [1122.0, 2174.0], [1122.0, 2225.0], [956.0, 2225.0]], ('VAT [%]', 0.9993820786476135)], [[[1776.0, 2165.0], [1874.0, 2176.0], [1868.0, 2231.0], [1770.0, 2220.0]], ('VAT', 0.9770669937133789)], [[[1388.0, 2178.0], [1588.0, 2178.0], [1588.0, 2218.0], [1388.0, 2218.0]], ('Net worth', 0.9842570424079895)], [[[2023.0, 2178.0], [2252.0, 2178.0], [2252.0, 2214.0], [2023.0, 2214.0]], ('Gross worth', 0.996271550655365)], [[[994.0, 2253.0], [1087.0, 2264.0], [1081.0, 2318.0], [988.0, 2307.0]], ('10%', 0.999870777130127)], [[[1757.0, 2257.0], [1870.0, 2267.0], [1865.0, 2322.0], [1752.0, 2312.0]], ('46,13', 0.999598503112793)], [[[1466.0, 2269.0], [1588.0, 2269.0], [1588.0, 2309.0], [1466.0, 2309.0]], ('461,34', 0.9776026606559753)], [[[2130.0, 2262.0], [2263.0, 2262.0], [2263.0, 2313.0], [2130.0, 2313.0]], ('507,47', 0.9975149631500244)], [[[746.0, 2353.0], [857.0, 2353.0], [857.0, 2404.0], [746.0, 2404.0]], ('Total', 0.9998736381530762)], [[[1414.0, 2357.0], [1584.0, 2357.0], [1584.0, 2397.0], [1414.0, 2397.0]], ('$461,34', 0.9834448099136353)], [[[1713.0, 2353.0], [1864.0, 2353.0], [1864.0, 2404.0], [1713.0, 2404.0]], ('$ 46,13', 0.9859654307365417)], [[[2082.0, 2353.0], [2259.0, 2353.0], [2259.0, 2404.0], [2082.0, 2404.0]], ('$ 507,47', 0.9973195791244507)]]	{'header': {'invoice_no': '52337235', 'invoice_date': '05/30/2020', 'seller': 'Nicholson and Sons 886 Valerie Way Robertfort, AZ 94445', 'client': 'Gallegos, Shea and Lawson 785 Robin Highway Apt. 834 North Shelby, ND 14461', 'seller_tax_id': '978-91-5226', 'client_tax_id': '976-87-8477', 'iban': 'GB55WWOZO9523490270230'}, 'items': [{'item_desc': "Nike Kid's Air Jordan 4 Retro 'Laser' 7y White/Gray 705334-105", 'item_qty': '3,00', 'item_net_price': '120,00', 'item_net_worth': '360,00', 'item_vat': '10%', 'item_gross_worth': '396,00'}, {'item_desc': 'Boys Kids Printed Cotton Slippers Zip Fastening 350172494', 'item_qty': '3,00', 'item_net_price': '19,68', 'item_net_worth': '59,04', 'item_vat': '10%', 'item_gross_worth': '64,94'}, {'item_desc': 'Children Place Boys Snow Boots', 'item_qty': '3,00', 'item_net_price': '12,40', 'item_net_worth': '37,20', 'item_vat': '10%', 'item_gross_worth': '40,92'}, {'item_desc': '100Pcs Wall Stickers Home Decor Glow In The Dark Star sticker Decal Kids room', 'item_qty': '3,00', 'item_net_price': '1,70', 'item_net_worth': '5,10', 'item_vat': '10%', 'item_gross_worth': '5,61'}], 'summary': {'total_net_worth': '$461,34', 'total_vat': '$46,13', 'total_gross_worth': '$ 507,47'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [797.0, 110.0], [797.0, 161.0], [196.0, 161.0]], ('Invoice no: 77939527', 0.9981225728988647)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9982031583786011)], [[[1204.0, 216.0], [1466.0, 216.0], [1466.0, 256.0], [1204.0, 256.0]], ('10/21/2013', 0.9998331069946289)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1239.0, 653.0], [1426.0, 662.0], [1423.0, 724.0], [1236.0, 715.0]], ('Client:', 0.9993823170661926)], [[[210.0, 764.0], [484.0, 764.0], [484.0, 804.0], [210.0, 804.0]], ('Moore Group', 0.9542322754859924)], [[[1248.0, 760.0], [1543.0, 760.0], [1543.0, 808.0], [1248.0, 808.0]], ('Russo-Sexton', 0.9996314644813538)], [[[207.0, 807.0], [609.0, 811.0], [609.0, 863.0], [207.0, 859.0]], ('4273 Wright Lakes', 0.9996258020401001)], [[[1248.0, 811.0], [1565.0, 811.0], [1565.0, 859.0], [1248.0, 859.0]], ('9310 Luis Club', 0.9865565299987793)], [[[207.0, 866.0], [801.0, 866.0], [801.0, 914.0], [207.0, 914.0]], ('Lake Bradleyport, AZ 49946', 0.9949454069137573)], [[[1240.0, 866.0], [1728.0, 866.0], [1728.0, 914.0], [1240.0, 914.0]], ('West Andrea, IA 85378', 0.9937641620635986)], [[[207.0, 972.0], [635.0, 972.0], [635.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 967-94-4701', 0.9635235667228699)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 946-97-1051', 0.9869410991668701)], [[[210.0, 1030.0], [930.0, 1030.0], [930.0, 1067.0], [210.0, 1067.0]], ('IBAN: GB55HTSK19939395292361', 0.9668866395950317)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1344.0, 1261.0], [1532.0, 1261.0], [1532.0, 1312.0], [1344.0, 1312.0]], ('Net price', 0.9999423623085022)], [[[1837.0, 1256.0], [2006.0, 1265.0], [2003.0, 1316.0], [1834.0, 1307.0]], ('VAT [%]', 0.999139666557312)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[351.0, 1388.0], [835.0, 1396.0], [834.0, 1444.0], [350.0, 1436.0]], ('The Heart of Rock & Soul by.', 0.9810951948165894)], [[[1440.0, 1389.0], [1532.0, 1389.0], [1532.0, 1443.0], [1440.0, 1443.0]], ('4,49', 0.9988795518875122)], [[[1672.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1672.0, 1443.0]], ('22,45', 0.9986318349838257)], [[[1909.0, 1383.0], [2007.0, 1394.0], [2000.0, 1449.0], [1903.0, 1438.0]], ('10%', 0.9999048113822937)], [[[251.0, 1400.0], [284.0, 1400.0], [284.0, 1432.0], [251.0, 1432.0]], ('1.', 0.9954556226730347)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('5,00', 0.9872055053710938)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[2145.0, 1392.0], [2259.0, 1392.0], [2259.0, 1443.0], [2145.0, 1443.0]], ('24,70', 0.9997394680976868)], [[[348.0, 1428.0], [566.0, 1437.0], [564.0, 1488.0], [346.0, 1479.0]], (' Dave Marsh', 0.9762980937957764)], [[[354.0, 1524.0], [905.0, 1524.0], [905.0, 1571.0], [354.0, 1571.0]], ("Warman's Star Wars Field Guide.", 0.9832869172096252)], [[[1001.0, 1515.0], [1098.0, 1526.0], [1092.0, 1580.0], [995.0, 1569.0]], ('2,00', 0.9975460767745972)], [[[1436.0, 1520.0], [1532.0, 1520.0], [1532.0, 1575.0], [1436.0, 1575.0]], ('5,77', 0.998944878578186)], [[[1676.0, 1515.0], [1788.0, 1525.0], [1784.0, 1576.0], [1671.0, 1566.0]], ('11,54', 0.9997164011001587)], [[[1909.0, 1515.0], [2007.0, 1526.0], [2001.0, 1577.0], [1903.0, 1566.0]], ('10%', 0.9999029040336609)], [[[2144.0, 1515.0], [2257.0, 1525.0], [2253.0, 1576.0], [2140.0, 1566.0]], ('12,69', 0.9995036125183105)], [[[251.0, 1531.0], [284.0, 1531.0], [284.0, 1568.0], [251.0, 1568.0]], ('2.', 0.9994547367095947)], [[[1152.0, 1527.0], [1244.0, 1527.0], [1244.0, 1571.0], [1152.0, 1571.0]], ('each', 0.9990001320838928)], [[[358.0, 1571.0], [731.0, 1571.0], [731.0, 1608.0], [358.0, 1608.0]], ('by Wells, Stuart W., III', 0.9044210314750671)], [[[355.0, 1655.0], [665.0, 1659.0], [664.0, 1699.0], [354.0, 1695.0]], ('The Home Stretch', 0.9954214096069336)], [[[1004.0, 1650.0], [1098.0, 1660.0], [1093.0, 1704.0], [999.0, 1694.0]], ('1,00', 0.9890706539154053)], [[[1436.0, 1652.0], [1536.0, 1652.0], [1536.0, 1706.0], [1436.0, 1706.0]], ('5,38', 0.9992691874504089)], [[[1691.0, 1646.0], [1789.0, 1657.0], [1783.0, 1708.0], [1685.0, 1697.0]], ('5,38', 0.9984261989593506)], [[[1909.0, 1647.0], [2010.0, 1657.0], [2004.0, 1712.0], [1903.0, 1701.0]], ('10%', 0.9997093081474304)], [[[1148.0, 1659.0], [1244.0, 1659.0], [1244.0, 1703.0], [1148.0, 1703.0]], ('each', 0.9921557903289795)], [[[2163.0, 1652.0], [2256.0, 1652.0], [2256.0, 1706.0], [2163.0, 1706.0]], ('5,92', 0.9997923970222473)], [[[251.0, 1663.0], [288.0, 1663.0], [288.0, 1699.0], [251.0, 1699.0]], ('3.', 0.9959143400192261)], [[[351.0, 1739.0], [890.0, 1743.0], [890.0, 1791.0], [351.0, 1787.0]], ('SCOTTISH FOLKLORE LEGENDS', 0.9954025149345398)], [[[1008.0, 1747.0], [1093.0, 1747.0], [1093.0, 1791.0], [1008.0, 1791.0]], ('1,00', 0.9987236261367798)], [[[1148.0, 1750.0], [1248.0, 1750.0], [1248.0, 1791.0], [1148.0, 1791.0]], ('each', 0.998194694519043)], [[[1421.0, 1743.0], [1532.0, 1743.0], [1532.0, 1794.0], [1421.0, 1794.0]], ('10,95', 0.9997967481613159)], [[[1672.0, 1743.0], [1787.0, 1743.0], [1787.0, 1794.0], [1672.0, 1794.0]], ('10,95', 0.9998090863227844)], [[[1912.0, 1747.0], [2001.0, 1747.0], [2001.0, 1791.0], [1912.0, 1791.0]], ('10%', 0.9993138313293457)], [[[2145.0, 1743.0], [2256.0, 1743.0], [2256.0, 1794.0], [2145.0, 1794.0]], ('12,04', 0.9997526407241821)], [[[258.0, 1758.0], [277.0, 1758.0], [277.0, 1776.0], [258.0, 1776.0]], ('4', 0.9969940185546875)], [[[362.0, 1791.0], [812.0, 1791.0], [812.0, 1827.0], [362.0, 1827.0]], ('180 RARE BOOKS ON DVD', 0.9539412260055542)], [[[362.0, 1831.0], [701.0, 1831.0], [701.0, 1867.0], [362.0, 1867.0]], ('SCOTLAND HISTORY', 0.9847487211227417)], [[[354.0, 1875.0], [605.0, 1875.0], [605.0, 1915.0], [354.0, 1915.0]], ('MYTHOLOGY 5', 0.9936849474906921)], [[[351.0, 1958.0], [569.0, 1963.0], [568.0, 2003.0], [350.0, 1999.0]], ('Entertaining', 0.9992942810058594)], [[[1004.0, 1959.0], [1093.0, 1959.0], [1093.0, 2002.0], [1004.0, 2002.0]], ('5,00', 0.9899674654006958)], [[[1148.0, 1959.0], [1252.0, 1959.0], [1252.0, 2006.0], [1148.0, 2006.0]], ('each', 0.9847924709320068)], [[[1444.0, 1959.0], [1528.0, 1959.0], [1528.0, 2002.0], [1444.0, 2002.0]], ('4,49', 0.9769742488861084)], [[[1672.0, 1955.0], [1783.0, 1955.0], [1783.0, 2006.0], [1672.0, 2006.0]], ('22,45', 0.9989503622055054)], [[[1912.0, 1959.0], [2001.0, 1959.0], [2001.0, 2002.0], [1912.0, 2002.0]], ('10%', 0.9017460942268372)], [[[2145.0, 1955.0], [2259.0, 1955.0], [2259.0, 2006.0], [2145.0, 2006.0]], ('24,70', 0.9993265271186829)], [[[354.0, 2046.0], [860.0, 2046.0], [860.0, 2094.0], [354.0, 2094.0]], ('Christmas Cupcake Murder: A', 0.9994217157363892)], [[[1008.0, 2038.0], [1094.0, 2048.0], [1088.0, 2095.0], [1003.0, 2085.0]], ('2,00', 0.9958678483963013)], [[[1440.0, 2043.0], [1532.0, 2043.0], [1532.0, 2097.0], [1440.0, 2097.0]], ('2,99', 0.9997191429138184)], [[[1691.0, 2043.0], [1787.0, 2043.0], [1787.0, 2097.0], [1691.0, 2097.0]], ('5,98', 0.9995849132537842)], [[[1909.0, 2037.0], [2007.0, 2048.0], [2001.0, 2099.0], [1903.0, 2088.0]], ('10%', 0.9998776316642761)], [[[1152.0, 2050.0], [1244.0, 2050.0], [1244.0, 2094.0], [1152.0, 2094.0]], ('each', 0.9990973472595215)], [[[2167.0, 2043.0], [2259.0, 2043.0], [2259.0, 2097.0], [2167.0, 2097.0]], ('6,58', 0.999640941619873)], [[[255.0, 2054.0], [284.0, 2054.0], [284.0, 2087.0], [255.0, 2087.0]], ('6.', 0.9914855360984802)], [[[355.0, 2090.0], [816.0, 2094.0], [816.0, 2134.0], [354.0, 2130.0]], ('Festive & Delicious Ch... by', 0.9843180775642395)], [[[354.0, 2134.0], [701.0, 2134.0], [701.0, 2171.0], [354.0, 2171.0]], ('Joanne Fluke (P.D.F)', 0.9831603169441223)], [[[251.0, 2229.0], [288.0, 2229.0], [288.0, 2258.0], [251.0, 2258.0]], ('7.', 0.9959840774536133)], [[[354.0, 2225.0], [775.0, 2225.0], [775.0, 2262.0], [354.0, 2262.0]], ('Introduction to Thematic', 0.9841756224632263)], [[[1008.0, 2222.0], [1097.0, 2222.0], [1097.0, 2262.0], [1008.0, 2262.0]], ('3,00', 0.9808256030082703)], [[[1152.0, 2225.0], [1248.0, 2225.0], [1248.0, 2266.0], [1152.0, 2266.0]], ('each', 0.9980621933937073)], [[[1444.0, 2222.0], [1528.0, 2222.0], [1528.0, 2266.0], [1444.0, 2266.0]], ('8,99', 0.9960160255432129)], [[[1676.0, 2222.0], [1783.0, 2222.0], [1783.0, 2262.0], [1676.0, 2262.0]], ('26,97', 0.9820906519889832)], [[[1912.0, 2222.0], [2001.0, 2222.0], [2001.0, 2266.0], [1912.0, 2266.0]], ('10%', 0.9983377456665039)], [[[2149.0, 2222.0], [2252.0, 2222.0], [2252.0, 2262.0], [2149.0, 2262.0]], ('29,67', 0.9768813252449036)], [[[358.0, 2269.0], [569.0, 2269.0], [569.0, 2306.0], [358.0, 2306.0]], ('Cartography', 0.9992992877960205)], [[[192.0, 2404.0], [491.0, 2404.0], [491.0, 2452.0], [192.0, 2452.0]], ('SUMMARY', 0.9952756762504578)], [[[956.0, 2525.0], [1122.0, 2525.0], [1122.0, 2576.0], [956.0, 2576.0]], ('VAT [%]', 0.9994369149208069)], [[[1776.0, 2516.0], [1874.0, 2527.0], [1868.0, 2581.0], [1770.0, 2571.0]], ('VAT', 0.9495161175727844)], [[[1388.0, 2529.0], [1588.0, 2529.0], [1588.0, 2569.0], [1388.0, 2569.0]], ('Net worth', 0.9613118767738342)], [[[2023.0, 2529.0], [2252.0, 2529.0], [2252.0, 2565.0], [2023.0, 2565.0]], ('Gross worth', 0.9849386215209961)], [[[994.0, 2604.0], [1087.0, 2615.0], [1081.0, 2669.0], [988.0, 2658.0]], ('10%', 0.9999032020568848)], [[[1458.0, 2613.0], [1591.0, 2613.0], [1591.0, 2664.0], [1458.0, 2664.0]], ('105,72', 0.9997584223747253)], [[[1754.0, 2613.0], [1868.0, 2613.0], [1868.0, 2664.0], [1754.0, 2664.0]], ('10,57', 0.9994591474533081)], [[[2130.0, 2613.0], [2267.0, 2613.0], [2267.0, 2664.0], [2130.0, 2664.0]], ('116,29', 0.9984387755393982)], [[[746.0, 2692.0], [858.0, 2702.0], [853.0, 2757.0], [741.0, 2746.0]], ('Total', 0.9998065829277039)], [[[1410.0, 2704.0], [1588.0, 2704.0], [1588.0, 2755.0], [1410.0, 2755.0]], ('$ 105,72', 0.9966697692871094)], [[[1713.0, 2704.0], [1864.0, 2704.0], [1864.0, 2755.0], [1713.0, 2755.0]], ('$ 10,57', 0.9528443217277527)], [[[2082.0, 2704.0], [2259.0, 2704.0], [2259.0, 2755.0], [2082.0, 2755.0]], ('$ 116,29', 0.9850651025772095)]]	{'header': {'invoice_no': '77939527', 'invoice_date': '10/21/2013', 'seller': 'Moore Group 4273 Wright Lakes Lake Bradleyport, AZ 49946', 'client': 'Russo-Sexton 9310 Luis Club West Andrea, IA 85378', 'seller_tax_id': '967-94-4701', 'client_tax_id': '946-97-1051', 'iban': 'GB55HTSK19939939395292361'}, 'items': [{'item_desc': 'The Heart of Rock & Soul by Dave Marsh', 'item_qty': '5,00', 'item_net_price': '4,49', 'item_net_worth': '22,45', 'item_vat': '10%', 'item_gross_worth': '24,70'}, {'item_desc': "Warman's Star Wars Field Guide by Wells, Stuart W., III", 'item_qty': '2,00', 'item_net_price': '5,77', 'item_net_worth': '11,54', 'item_vat': '10%', 'item_gross_worth': '12,69'}, {'item_desc': 'The Home Stretch', 'item_qty': '1,00', 'item_net_price': '5,38', 'item_net_worth': '5,38', 'item_vat': '10%', 'item_gross_worth': '5,92'}, {'item_desc': 'SCOTTISH FOLKLORE LEGENDS 180 RARE BOOKS ON DVD SCOTLAND HISTORY MYTHOLOGY 5', 'item_qty': '1,00', 'item_net_price': '10,95', 'total_net_worth': '10,95', 'item_vat': '10%', 'item_gross_worth': '12,04'}, {'item_desc': 'Entertaining', 'item_qty': '5,00', 'item_net_price': '4,49', 'item_net_worth': '22,45', 'item_vat': '10%', 'item_gross_worth': '24,70'}, {'item_desc': 'Christmas Cupcake Murder: A Festive & Delicious Ch... by Joanne Fluke (P.D.F)', 'item_qty': '2,00', 'item_net_price': '2,99', 'item_net_worth': '5,98', 'item_vat': '10%', 'item_gross_worth': '6,58'}, {'item_desc': 'Introduction to Thematic Cartography', 'item_qty': '3,00', 'item_net_price': '8,99', 'item_net_worth': '26,97', 'item_vat': '10%', 'item_gross_worth': '29,67'}], 'summary': {'total_net_worth': '$ 105,72', 'total_vat': '$ 10,57', 'total_gross_worth': '$ 116,29'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [801.0, 110.0], [801.0, 161.0], [196.0, 161.0]], ('Invoice no: 45290929', 0.9985741376876831)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9883247017860413)], [[[1200.0, 216.0], [1466.0, 216.0], [1466.0, 256.0], [1200.0, 256.0]], ('05/19/2014', 0.9997237324714661)], [[[1235.0, 649.0], [1430.0, 659.0], [1427.0, 724.0], [1232.0, 715.0]], ('Client:', 0.999538242816925)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[210.0, 756.0], [742.0, 756.0], [742.0, 808.0], [210.0, 808.0]], ('Garcia, Smith and Nelson', 0.99835205078125)], [[[1245.0, 752.0], [1511.0, 761.0], [1509.0, 812.0], [1244.0, 803.0]], ('Garrison Inc', 0.9997098445892334)], [[[203.0, 807.0], [543.0, 811.0], [542.0, 863.0], [203.0, 859.0]], ('USCGC Mcguire', 0.9650625586509705)], [[[1248.0, 807.0], [1573.0, 811.0], [1572.0, 863.0], [1248.0, 859.0]], ('620 Allen Ports', 0.9629342555999756)], [[[207.0, 866.0], [513.0, 866.0], [513.0, 914.0], [207.0, 914.0]], ('FPO AP 49035', 0.9950398802757263)], [[[1244.0, 866.0], [1720.0, 866.0], [1720.0, 914.0], [1244.0, 914.0]], ('Jamestown, NM 45303', 0.9862663149833679)], [[[207.0, 972.0], [635.0, 972.0], [635.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 999-72-7201', 0.9848023653030396)], [[[1248.0, 972.0], [1680.0, 972.0], [1680.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 991-79-3678', 0.9718256592750549)], [[[207.0, 1023.0], [938.0, 1023.0], [938.0, 1071.0], [207.0, 1071.0]], ('IBAN: GB52XLUD64357586427292', 0.9884700179100037)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1156.0, 1261.0], [1240.0, 1261.0], [1240.0, 1316.0], [1156.0, 1316.0]], ('UM', 0.9094463586807251)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1001.0, 1383.0], [1095.0, 1394.0], [1089.0, 1448.0], [995.0, 1438.0]], ('5,00', 0.9959661364555359)], [[[1421.0, 1392.0], [1532.0, 1392.0], [1532.0, 1443.0], [1421.0, 1443.0]], ('12,00', 0.9996110200881958)], [[[1672.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1672.0, 1443.0]], ('60,00', 0.9986981153488159)], [[[1909.0, 1383.0], [2003.0, 1394.0], [1997.0, 1448.0], [1903.0, 1438.0]], ('10%', 0.9999473690986633)], [[[251.0, 1400.0], [284.0, 1400.0], [284.0, 1432.0], [251.0, 1432.0]], ('1.', 0.9954556226730347)], [[[354.0, 1400.0], [620.0, 1400.0], [620.0, 1436.0], [354.0, 1436.0]], ('crewcuts shoes', 0.993158757686615)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[2145.0, 1392.0], [2259.0, 1392.0], [2259.0, 1443.0], [2145.0, 1443.0]], ('66,00', 0.9967435002326965)], [[[351.0, 1480.0], [790.0, 1484.0], [790.0, 1531.0], [351.0, 1527.0]], ('Under Armour UA Curry 3', 0.9996984601020813)], [[[1909.0, 1471.0], [2007.0, 1482.0], [2000.0, 1536.0], [1903.0, 1526.0]], ('10%', 0.9999292492866516)], [[[251.0, 1491.0], [288.0, 1491.0], [288.0, 1524.0], [251.0, 1524.0]], ('2.', 0.99964439868927)], [[[1008.0, 1484.0], [1097.0, 1484.0], [1097.0, 1527.0], [1008.0, 1527.0]], ('1,00', 0.9987627267837524)], [[[1148.0, 1487.0], [1244.0, 1487.0], [1244.0, 1531.0], [1148.0, 1531.0]], ('each', 0.9809339642524719)], [[[1444.0, 1484.0], [1528.0, 1484.0], [1528.0, 1527.0], [1444.0, 1527.0]], ('4,90', 0.9959314465522766)], [[[1698.0, 1484.0], [1783.0, 1484.0], [1783.0, 1527.0], [1698.0, 1527.0]], ('4,90', 0.9974996447563171)], [[[2167.0, 1484.0], [2256.0, 1484.0], [2256.0, 1527.0], [2167.0, 1527.0]], ('5,39', 0.9977885484695435)], [[[351.0, 1520.0], [683.0, 1528.0], [682.0, 1575.0], [350.0, 1567.0]], ('Black/Black Size 6Y', 0.9986034035682678)], [[[192.0, 1666.0], [495.0, 1666.0], [495.0, 1717.0], [192.0, 1717.0]], ('SUMMARY', 0.995866596698761)], [[[954.0, 1782.0], [1123.0, 1791.0], [1121.0, 1843.0], [952.0, 1834.0]], ('VAT [%]', 0.9984462857246399)], [[[1392.0, 1794.0], [1588.0, 1794.0], [1588.0, 1834.0], [1392.0, 1834.0]], ('Net worth', 0.97208571434021)], [[[1776.0, 1787.0], [1868.0, 1787.0], [1868.0, 1842.0], [1776.0, 1842.0]], ('VAT', 0.8642390370368958)], [[[2027.0, 1794.0], [2259.0, 1794.0], [2259.0, 1834.0], [2027.0, 1834.0]], ('Gross worth', 0.9996433258056641)], [[[998.0, 1866.0], [1083.0, 1876.0], [1077.0, 1927.0], [992.0, 1917.0]], ('10%', 0.9998381733894348)], [[[1480.0, 1882.0], [1588.0, 1882.0], [1588.0, 1922.0], [1480.0, 1922.0]], ('64,90', 0.9688532948493958)], [[[1780.0, 1882.0], [1864.0, 1882.0], [1864.0, 1926.0], [1780.0, 1926.0]], ('6,49', 0.9859646558761597)], [[[2149.0, 1875.0], [2267.0, 1875.0], [2267.0, 1926.0], [2149.0, 1926.0]], ('71,39', 0.9996973276138306)], [[[746.0, 1966.0], [857.0, 1966.0], [857.0, 2017.0], [746.0, 2017.0]], ('Total', 0.9998605847358704)], [[[1432.0, 1966.0], [1591.0, 1966.0], [1591.0, 2017.0], [1432.0, 2017.0]], ('$ 64,90', 0.9613639116287231)], [[[1739.0, 1973.0], [1864.0, 1973.0], [1864.0, 2013.0], [1739.0, 2013.0]], ('$6,49', 0.9875979423522949)], [[[2112.0, 1973.0], [2259.0, 1973.0], [2259.0, 2013.0], [2112.0, 2013.0]], ('$ 71,39', 0.9669817686080933)]]	{'header': {'invoice_no': '45290929', 'invoice_date': '05/19/2014', 'seller': 'Garcia, Smith and Nelson USCGC Mcguire FPO AP49035', 'client': 'Garrison Inc 620 Allen Ports Jamestown, NM 45303', 'seller_tax_id': '999-72-7201', 'client_tax_id': '991-79-3678', 'iban': 'GB52XLUD64357586427292'}, 'items': [{'item_desc': 'crewcuts shoes', 'item_qty': '5,00', 'item_net_price': '12,00', 'item_net_worth': '60,00', 'item_vat': '10%', 'item_gross_worth': '66,00'}, {'item_desc': 'Under Armour UA Curry 3 Black/Black Size 6Y', 'item_qty': '1,00', 'item_net_price': '4,90', 'item_net_worth': '4,90', 'item_vat': '10%', 'item_gross_worth': '5,39'}], 'summary': {'total_net_worth': '$ 64,90', 'total_vat': '$6,49', 'total_gross_worth': '$ 71,39'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [805.0, 110.0], [805.0, 161.0], [196.0, 161.0]], ('Invoice no: 54350218', 0.9989556074142456)], [[[196.0, 212.0], [521.0, 212.0], [521.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.998734176158905)], [[[1204.0, 216.0], [1469.0, 216.0], [1469.0, 256.0], [1204.0, 256.0]], ('07/29/2018', 0.9995673894882202)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1239.0, 657.0], [1430.0, 666.0], [1427.0, 721.0], [1236.0, 712.0]], ('Client:', 0.9934023022651672)], [[[203.0, 757.0], [505.0, 753.0], [506.0, 804.0], [203.0, 808.0]], ('Lawrence LLC', 0.9994307160377502)], [[[1244.0, 753.0], [1839.0, 757.0], [1838.0, 808.0], [1244.0, 804.0]], ('Richards, Pittman and Scott', 0.9894671440124512)], [[[207.0, 807.0], [816.0, 811.0], [816.0, 862.0], [207.0, 859.0]], ('90708 Cody Island Suite 930', 0.9838283658027649)], [[[1248.0, 807.0], [1842.0, 811.0], [1842.0, 863.0], [1248.0, 859.0]], ('52054 Lori Ridges Suite 314', 0.9713479280471802)], [[[207.0, 866.0], [668.0, 866.0], [668.0, 914.0], [207.0, 914.0]], ('Michaelton, PA 34086', 0.9996600151062012)], [[[1252.0, 866.0], [1813.0, 866.0], [1813.0, 914.0], [1252.0, 914.0]], ('East Angelaville, AK 95465', 0.9779380559921265)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 999-77-6019', 0.9927155375480652)], [[[1248.0, 972.0], [1680.0, 972.0], [1680.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 964-78-1944', 0.9943525195121765)], [[[210.0, 1030.0], [927.0, 1030.0], [927.0, 1067.0], [210.0, 1067.0]], ('IBAN: GB46TSFB42464775055647', 0.985867440700531)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[1008.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1008.0, 1440.0]], ('4,00', 0.9907870292663574)], [[[1444.0, 1396.0], [1532.0, 1396.0], [1532.0, 1440.0], [1444.0, 1440.0]], ('8,00', 0.9791336059570312)], [[[1672.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1672.0, 1443.0]], ('32,00', 0.9996933937072754)], [[[1913.0, 1387.0], [2003.0, 1397.0], [1997.0, 1445.0], [1908.0, 1435.0]], ('10%', 0.9996089935302734)], [[[358.0, 1400.0], [816.0, 1400.0], [816.0, 1436.0], [358.0, 1436.0]], ("The Children's Place Brown", 0.9643789529800415)], [[[1145.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1145.0, 1440.0]], (' each', 0.913709819316864)], [[[2145.0, 1392.0], [2259.0, 1392.0], [2259.0, 1443.0], [2145.0, 1443.0]], ('35,20', 0.9991086721420288)], [[[258.0, 1407.0], [277.0, 1407.0], [277.0, 1429.0], [258.0, 1429.0]], ('1', 0.9433960914611816)], [[[351.0, 1432.0], [864.0, 1436.0], [864.0, 1484.0], [351.0, 1480.0]], ('Dress Boy Lace Up Shoes Size', 0.999362051486969)], [[[358.0, 1484.0], [406.0, 1484.0], [406.0, 1516.0], [358.0, 1516.0]], ('12', 0.9995416402816772)], [[[355.0, 1560.0], [827.0, 1564.0], [827.0, 1612.0], [354.0, 1608.0]], ('Adult Girl Version Hermione', 0.9957921504974365)], [[[1418.0, 1564.0], [1536.0, 1564.0], [1536.0, 1615.0], [1418.0, 1615.0]], ('64,16', 0.9984291791915894)], [[[1913.0, 1555.0], [2007.0, 1566.0], [2001.0, 1617.0], [1907.0, 1606.0]], ('10%', 0.9992581009864807)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[1008.0, 1568.0], [1097.0, 1568.0], [1097.0, 1611.0], [1008.0, 1611.0]], ('3,00', 0.9977307319641113)], [[[1148.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1148.0, 1611.0]], ('each', 0.9977310299873352)], [[[1658.0, 1568.0], [1783.0, 1568.0], [1783.0, 1608.0], [1658.0, 1608.0]], ('192,48', 0.9996201395988464)], [[[2130.0, 1568.0], [2252.0, 1568.0], [2252.0, 1608.0], [2130.0, 1608.0]], ('211,73', 0.9991289973258972)], [[[358.0, 1615.0], [801.0, 1615.0], [801.0, 1652.0], [358.0, 1652.0]], ('Granger Cosplay Costume', 0.999850332736969)], [[[358.0, 1655.0], [812.0, 1655.0], [812.0, 1692.0], [358.0, 1692.0]], ('Gryffindor Kid size In Stock.', 0.9871646761894226)], [[[1008.0, 1739.0], [1097.0, 1739.0], [1097.0, 1783.0], [1008.0, 1783.0]], ('5,00', 0.9923754334449768)], [[[1148.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1148.0, 1783.0]], (' each', 0.9113703966140747)], [[[1421.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1421.0, 1787.0]], ('19,99', 0.9996360540390015)], [[[1680.0, 1739.0], [1783.0, 1739.0], [1783.0, 1787.0], [1680.0, 1787.0]], ('99,95', 0.9941109418869019)], [[[1912.0, 1739.0], [2005.0, 1739.0], [2005.0, 1783.0], [1912.0, 1783.0]], ('10%', 0.9955744743347168)], [[[2127.0, 1736.0], [2256.0, 1736.0], [2256.0, 1787.0], [2127.0, 1787.0]], ('109,94', 0.9996879696846008)], [[[251.0, 1747.0], [284.0, 1747.0], [284.0, 1776.0], [251.0, 1776.0]], ('3.', 0.9897561073303223)], [[[354.0, 1747.0], [886.0, 1747.0], [886.0, 1783.0], [354.0, 1783.0]], ('Joma Youth Boy Supercopa 201', 0.9584612846374512)], [[[358.0, 1787.0], [871.0, 1787.0], [871.0, 1823.0], [358.0, 1823.0]], ('Soccer Cleats 4.5 Negro Verde', 0.994759202003479)], [[[351.0, 1816.0], [731.0, 1824.0], [730.0, 1871.0], [350.0, 1863.0]], (' Multitaco Black Green', 0.9920103549957275)], [[[1421.0, 1907.0], [1532.0, 1907.0], [1532.0, 1959.0], [1421.0, 1959.0]], ('11,99', 0.9995642900466919)], [[[1672.0, 1907.0], [1787.0, 1907.0], [1787.0, 1959.0], [1672.0, 1959.0]], ('11,99', 0.9986190795898438)], [[[1909.0, 1899.0], [2007.0, 1909.0], [2000.0, 1964.0], [1903.0, 1953.0]], ('10%', 0.9993720054626465)], [[[354.0, 1911.0], [849.0, 1911.0], [849.0, 1959.0], [354.0, 1959.0]], ('Skechers Blue Athletic Shoes', 0.9881280660629272)], [[[1008.0, 1911.0], [1097.0, 1911.0], [1097.0, 1955.0], [1008.0, 1955.0]], ('1,00', 0.9954820275306702)], [[[1152.0, 1915.0], [1244.0, 1915.0], [1244.0, 1959.0], [1152.0, 1959.0]], ('each', 0.9990523457527161)], [[[2145.0, 1907.0], [2259.0, 1907.0], [2259.0, 1959.0], [2145.0, 1959.0]], ('13,19', 0.9994193911552429)], [[[251.0, 1922.0], [284.0, 1922.0], [284.0, 1951.0], [251.0, 1951.0]], ('4.', 0.9907228946685791)], [[[358.0, 1955.0], [624.0, 1955.0], [624.0, 1995.0], [358.0, 1995.0]], ('Kids Size 2 EUC', 0.9993858337402344)], [[[355.0, 2035.0], [901.0, 2039.0], [901.0, 2087.0], [354.0, 2083.0]], ('Children Place Boys Snow Boots', 0.9943463802337646)], [[[1004.0, 2039.0], [1097.0, 2039.0], [1097.0, 2083.0], [1004.0, 2083.0]], ('5,00', 0.9720948338508606)], [[[1672.0, 2039.0], [1787.0, 2039.0], [1787.0, 2090.0], [1672.0, 2090.0]], ('62,00', 0.9988294839859009)], [[[1909.0, 2030.0], [2007.0, 2041.0], [2000.0, 2095.0], [1903.0, 2085.0]], ('10%', 0.9999033808708191)], [[[251.0, 2046.0], [284.0, 2046.0], [284.0, 2079.0], [251.0, 2079.0]], ('5.', 0.996458888053894)], [[[1148.0, 2043.0], [1252.0, 2043.0], [1252.0, 2090.0], [1148.0, 2090.0]], ('each', 0.9586409330368042)], [[[1425.0, 2043.0], [1528.0, 2043.0], [1528.0, 2083.0], [1425.0, 2083.0]], ('12,40', 0.9859033823013306)], [[[2145.0, 2039.0], [2259.0, 2039.0], [2259.0, 2090.0], [2145.0, 2090.0]], ('68,20', 0.9983307123184204)], [[[1672.0, 2127.0], [1787.0, 2127.0], [1787.0, 2178.0], [1672.0, 2178.0]], ('20,00', 0.9994727373123169)], [[[1913.0, 2118.0], [2003.0, 2128.0], [1997.0, 2179.0], [1907.0, 2169.0]], ('10%', 0.9982287883758545)], [[[355.0, 2130.0], [908.0, 2134.0], [908.0, 2174.0], [354.0, 2170.0]], ('Reebok Kids Boys Blue Sneakers', 0.9996181726455688)], [[[1004.0, 2130.0], [1097.0, 2130.0], [1097.0, 2174.0], [1004.0, 2174.0]], ('4,00', 0.998488187789917)], [[[1148.0, 2134.0], [1252.0, 2134.0], [1252.0, 2182.0], [1148.0, 2182.0]], ('each', 0.9947446584701538)], [[[1440.0, 2130.0], [1528.0, 2130.0], [1528.0, 2174.0], [1440.0, 2174.0]], ('5,00', 0.9913931488990784)], [[[2145.0, 2127.0], [2259.0, 2127.0], [2259.0, 2178.0], [2145.0, 2178.0]], ('22,00', 0.9992504119873047)], [[[251.0, 2138.0], [284.0, 2138.0], [284.0, 2171.0], [251.0, 2171.0]], ('6.', 0.9900208711624146)], [[[355.0, 2167.0], [735.0, 2174.0], [734.0, 2222.0], [354.0, 2214.0]], ('Shoes US 11 No Laces', 0.9993438720703125)], [[[354.0, 2266.0], [890.0, 2266.0], [890.0, 2302.0], [354.0, 2302.0]], ('Lotto Soccer Turf Shoes 6 Black', 0.9845672249794006)], [[[1008.0, 2262.0], [1097.0, 2262.0], [1097.0, 2302.0], [1008.0, 2302.0]], ('1,00', 0.9940205812454224)], [[[1152.0, 2262.0], [1248.0, 2262.0], [1248.0, 2306.0], [1152.0, 2306.0]], ('each', 0.9979082345962524)], [[[1421.0, 2258.0], [1532.0, 2258.0], [1532.0, 2309.0], [1421.0, 2309.0]], ('19,99', 0.9997571706771851)], [[[1672.0, 2258.0], [1787.0, 2258.0], [1787.0, 2309.0], [1672.0, 2309.0]], ('19,99', 0.9991692304611206)], [[[1912.0, 2262.0], [2001.0, 2262.0], [2001.0, 2306.0], [1912.0, 2306.0]], ('10%', 0.9975383281707764)], [[[2145.0, 2258.0], [2259.0, 2258.0], [2259.0, 2309.0], [2145.0, 2309.0]], ('21,99', 0.9995473027229309)], [[[258.0, 2273.0], [284.0, 2273.0], [284.0, 2298.0], [258.0, 2298.0]], ('7.', 0.9063476324081421)], [[[351.0, 2302.0], [890.0, 2302.0], [890.0, 2350.0], [351.0, 2350.0]], ('Vincente Turf Jr Indoor Outdoor', 0.9975806474685669)], [[[351.0, 2342.0], [580.0, 2346.0], [579.0, 2386.0], [350.0, 2382.0]], ('Futbol Cleats', 0.9995279312133789)], [[[192.0, 2485.0], [491.0, 2485.0], [491.0, 2536.0], [192.0, 2536.0]], ('SUMMARY', 0.9963473081588745)], [[[960.0, 2613.0], [1119.0, 2613.0], [1119.0, 2653.0], [960.0, 2653.0]], ('VAT [%]', 0.9959387183189392)], [[[1392.0, 2613.0], [1588.0, 2613.0], [1588.0, 2653.0], [1392.0, 2653.0]], ('Net worth', 0.9999510645866394)], [[[1780.0, 2609.0], [1868.0, 2609.0], [1868.0, 2653.0], [1780.0, 2653.0]], ('VAT', 0.785267174243927)], [[[2027.0, 2613.0], [2256.0, 2613.0], [2256.0, 2653.0], [2027.0, 2653.0]], ('Gross worth', 0.9999299645423889)], [[[997.0, 2700.0], [1082.0, 2700.0], [1082.0, 2744.0], [997.0, 2744.0]], ('10%', 0.9998140931129456)], [[[1458.0, 2697.0], [1591.0, 2697.0], [1591.0, 2748.0], [1458.0, 2748.0]], ('438,41', 0.9994744658470154)], [[[1754.0, 2697.0], [1868.0, 2697.0], [1868.0, 2748.0], [1754.0, 2748.0]], ('43,84', 0.9993114471435547)], [[[2138.0, 2700.0], [2259.0, 2700.0], [2259.0, 2741.0], [2138.0, 2741.0]], ('482,25', 0.968933641910553)], [[[749.0, 2792.0], [853.0, 2792.0], [853.0, 2832.0], [749.0, 2832.0]], ('Total', 0.9997813105583191)], [[[1414.0, 2792.0], [1584.0, 2792.0], [1584.0, 2832.0], [1414.0, 2832.0]], ('$ 438,41', 0.9381586909294128)], [[[1717.0, 2792.0], [1868.0, 2792.0], [1868.0, 2832.0], [1717.0, 2832.0]], ('$43,84', 0.9967010617256165)], [[[2086.0, 2792.0], [2256.0, 2792.0], [2256.0, 2832.0], [2086.0, 2832.0]], ('$ 482,25', 0.9415372014045715)]]	{'header': {'invoice_no': '54350218', 'invoice_date': '07/29/2018', 'seller': 'Lawrence LLC 90708 Cody Island Suite 930 Michaelton, PA 34086', 'client': 'Richards, Pittman and Scott 52054 Lori Ridges Suite 314 East Angelaville, AK 95465', 'seller_tax_id': '999-77-6019', 'client_tax_id': '964-78-1944', 'iban': 'GB46TSFB42464775055647'}, 'items': [{'item_desc': "The Children's Place Brown Dress Boy Lace Up Shoes Size", 'item_qty': '4,00', 'item_net_price': '8,00', 'item_net_worth': '32,00', 'item_vat': '10%', 'item_gross_worth': '35,20'}, {'item_desc': 'Adult Girl Version Hermione Granger Cosplay Costume Gryffindor Kid size In Stock', 'item_qty': '3,00', 'item_net_price': '64,16', 'item_net_worth': '192,48', 'item_vat': '10%', 'item_gross_worth': '211,73'}, {'item_desc': 'Joma Youth Boy Supercopa 201 Soccer Cleats 4.5 Negro Verde Multitaco Black Green', 'item_qty': '5,00', 'item_net_price': '19,99', 'item_net_worth': '99,95', 'item_vat': '10%', 'item_gross_worth': '109,94'}, {'item_desc': 'Skechers Blue Athletic Shoes Kids Size 2 EUC', 'item_qty': '1,00', 'item_net_price': '11,99', 'item_net_worth': '11,99', 'item_vat': '10%', 'item_gross_worth': '13,19'}, {'item_desc': 'Children Place Boys Snow Boots', 'item_qty': '5,00', 'item_net_price': '12,40', 'item_net_worth': '62,00', 'item_vat': '10%', 'item_gross_worth': '68,20'}, {'item_desc': 'Reebok Kids Boys Blue Sneakers Shoes US 11 No Laces', 'item_qty': '4,00', 'item_net_price': '5,00', 'item_net_worth': '20,00', 'item_vat': '10%', 'item_gross_worth': '22,00'}, {'item_desc': 'Lotto Soccer Turf Shoes 6 Black Vincente Turf Jr Indoor Outdoor Futbol Cleats', 'item_qty': '1,00', 'item_net_price': '19,99', 'item_net_worth': '19,99', 'item_vat': '10%', 'item_gross_worth': '21,99'}], 'summary': {'total_net_worth': '$ 438,41', 'total_vat': '$ 43,84', 'total_gross_worth': '$ 482,25'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[199.0, 110.0], [801.0, 110.0], [801.0, 161.0], [199.0, 161.0]], ('Invoice no: 52676405', 0.9994685053825378)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:.', 0.9740241169929504)], [[[1200.0, 216.0], [1462.0, 216.0], [1462.0, 256.0], [1200.0, 256.0]], ('09/02/2017', 0.9997153282165527)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1240.0, 661.0], [1429.0, 661.0], [1429.0, 720.0], [1240.0, 720.0]], ('Client:', 0.9994950890541077)], [[[204.0, 752.0], [521.0, 760.0], [520.0, 812.0], [203.0, 804.0]], ('Phillips-Barnes', 0.9729093313217163)], [[[1248.0, 756.0], [1488.0, 756.0], [1488.0, 808.0], [1248.0, 808.0]], ('Avila-Miller', 0.9948747754096985)], [[[210.0, 811.0], [860.0, 811.0], [860.0, 859.0], [210.0, 859.0]], ('96213 Nelson Mission Apt. 146.', 0.9815200567245483)], [[[1244.0, 811.0], [1687.0, 811.0], [1687.0, 859.0], [1244.0, 859.0]], ('8595 Davis Crescent', 0.9997873902320862)], [[[207.0, 866.0], [709.0, 866.0], [709.0, 914.0], [207.0, 914.0]], ('Briannashire, NV 95032', 0.9882081747055054)], [[[1248.0, 866.0], [1772.0, 866.0], [1772.0, 914.0], [1248.0, 914.0]], ('Shaunborough, IA 10338', 0.9712113738059998)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 950-76-4110', 0.9875996112823486)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 930-74-7345', 0.9838747978210449)], [[[207.0, 1023.0], [949.0, 1023.0], [949.0, 1071.0], [207.0, 1071.0]], ('IBAN: GB10HUNR83412055935003', 0.9912033081054688)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1015.0, 1264.0], [1093.0, 1264.0], [1093.0, 1316.0], [1015.0, 1316.0]], ('Qty', 0.9998195767402649)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2130.0, 1305.0], [2259.0, 1305.0], [2259.0, 1356.0], [2130.0, 1356.0]], ('worth', 0.9997998476028442)], [[[358.0, 1400.0], [838.0, 1400.0], [838.0, 1436.0], [358.0, 1436.0]], ('Cup Hanging Shelf Cup Rack', 0.9706153273582458)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('4,00', 0.9974542856216431)], [[[1148.0, 1400.0], [1244.0, 1400.0], [1244.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9988933801651001)], [[[1418.0, 1392.0], [1532.0, 1392.0], [1532.0, 1443.0], [1418.0, 1443.0]], ('26,63', 0.998935341835022)], [[[1654.0, 1392.0], [1783.0, 1392.0], [1783.0, 1443.0], [1654.0, 1443.0]], ('106,52', 0.9998044967651367)], [[[1916.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1916.0, 1440.0]], ('10%', 0.9995570182800293)], [[[2127.0, 1392.0], [2256.0, 1392.0], [2256.0, 1443.0], [2127.0, 1443.0]], ('117,17', 0.9990878701210022)], [[[358.0, 1440.0], [716.0, 1440.0], [716.0, 1476.0], [358.0, 1476.0]], ('Iron Wine Glass Shelf', 0.9589799046516418)], [[[358.0, 1476.0], [779.0, 1480.0], [779.0, 1520.0], [358.0, 1516.0]], ('Restaurant Bar for Home', 0.9737892150878906)], [[[352.0, 1516.0], [496.0, 1525.0], [493.0, 1565.0], [350.0, 1556.0]], ('Kitchen', 0.9973892569541931)], [[[351.0, 1608.0], [908.0, 1608.0], [908.0, 1655.0], [351.0, 1655.0]], (' Iron Glass Holder Organizer Wall', 0.9889975786209106)], [[[1008.0, 1608.0], [1093.0, 1608.0], [1093.0, 1652.0], [1008.0, 1652.0]], ('1,00', 0.997308611869812)], [[[1421.0, 1599.0], [1534.0, 1609.0], [1529.0, 1664.0], [1416.0, 1654.0]], ('44,33', 0.996514618396759)], [[[1152.0, 1611.0], [1244.0, 1611.0], [1244.0, 1655.0], [1152.0, 1655.0]], ('each', 0.9991228580474854)], [[[1676.0, 1604.0], [1783.0, 1604.0], [1783.0, 1659.0], [1676.0, 1659.0]], ('44,33', 0.9992297887802124)], [[[1909.0, 1604.0], [2005.0, 1604.0], [2005.0, 1659.0], [1909.0, 1659.0]], ('10%', 0.9999182224273682)], [[[2149.0, 1604.0], [2259.0, 1604.0], [2259.0, 1659.0], [2149.0, 1659.0]], ('48,76', 0.9999009966850281)], [[[258.0, 1619.0], [284.0, 1619.0], [284.0, 1644.0], [258.0, 1644.0]], ('2.', 0.9935526847839355)], [[[355.0, 1648.0], [875.0, 1652.0], [875.0, 1699.0], [354.0, 1695.0]], ('Mounted Kitchen Bar 5 Bottles', 0.9894713163375854)], [[[351.0, 1692.0], [672.0, 1696.0], [672.0, 1736.0], [351.0, 1732.0]], ('Wine Rack Display', 0.9920640587806702)], [[[196.0, 1831.0], [491.0, 1831.0], [491.0, 1882.0], [196.0, 1882.0]], ('SUMMARY', 0.9964095950126648)], [[[956.0, 1955.0], [1122.0, 1955.0], [1122.0, 2006.0], [956.0, 2006.0]], ('VAT [%]', 0.999320387840271)], [[[1776.0, 1946.0], [1874.0, 1957.0], [1868.0, 2008.0], [1770.0, 1997.0]], ('VAT', 0.8030297160148621)], [[[1388.0, 1959.0], [1588.0, 1959.0], [1588.0, 1999.0], [1388.0, 1999.0]], ('Net worth', 0.9758164882659912)], [[[2027.0, 1959.0], [2259.0, 1959.0], [2259.0, 1999.0], [2027.0, 1999.0]], ('Gross worth', 0.9999286532402039)], [[[994.0, 2034.0], [1087.0, 2045.0], [1081.0, 2099.0], [988.0, 2088.0]], ('10%', 0.9998902678489685)], [[[1458.0, 2043.0], [1591.0, 2043.0], [1591.0, 2094.0], [1458.0, 2094.0]], ('150,85', 0.9985879063606262)], [[[1753.0, 2034.0], [1870.0, 2044.0], [1865.0, 2099.0], [1749.0, 2089.0]], ('15,09', 0.9992559552192688)], [[[2130.0, 2043.0], [2267.0, 2043.0], [2267.0, 2094.0], [2130.0, 2094.0]], ('165,94', 0.9995336532592773)], [[[746.0, 2130.0], [857.0, 2130.0], [857.0, 2185.0], [746.0, 2185.0]], ('Total', 0.9998123049736023)], [[[1410.0, 2134.0], [1591.0, 2134.0], [1591.0, 2185.0], [1410.0, 2185.0]], ('$ 150,85', 0.9923063516616821)], [[[1713.0, 2134.0], [1864.0, 2134.0], [1864.0, 2185.0], [1713.0, 2185.0]], ('$15,09', 0.9997957348823547)], [[[2082.0, 2134.0], [2263.0, 2134.0], [2263.0, 2185.0], [2082.0, 2185.0]], ('$ 165,94', 0.9828444719314575)]]	{'header': {'invoice_no': '52676405', 'invoice_date': '09/02/2017', 'seller': 'Phillps-Barnes 96213 Nelson Mission Apt. 146 Briannashire, NV 95032', 'client': 'Avila-Miller 8595 Davis Crescent Shaunborough, IA 10338', 'seller_tax_id': '950-76-4110', 'client_tax_id': '930-74-7345', 'iban': 'GB10HUNR83412055935003'}, 'items': [{'item_desc': 'Cup Hanging Shelf Cup Rack Iron Wine Glass Shelf Restaurant Bar for Home Kitchen', 'item_qty': '4,00', 'item_net_price': '26,63', 'item_net_worth': '106,52', 'item_vat': '10%', 'item_gross_worth': '117,17'}, {'item_desc': 'Iron Glass Holder Organizer Wall Mounted Kitchen Bar 5 Bottles Wine Rack Display', 'item_qty': '1,00', 'item_net_price': '44,33', 'item_net_worth': '44,33', 'item_vat': '10%', 'item_gross_worth': '48,76'}], 'summary': {'total_net_worth': '$ 150,85', 'total_vat': '$ 15,09', 'total_gross_worth': '$ 165,94'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [805.0, 110.0], [805.0, 161.0], [196.0, 161.0]], ('Invoice no: 13310164.', 0.9750168919563293)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9982193112373352)], [[[1204.0, 216.0], [1469.0, 216.0], [1469.0, 256.0], [1204.0, 256.0]], ('01/16/2020', 0.9941546320915222)], [[[190.0, 657.0], [388.0, 666.0], [386.0, 721.0], [188.0, 712.0]], ('Seller:', 0.9998012781143188)], [[[1239.0, 653.0], [1426.0, 662.0], [1423.0, 724.0], [1236.0, 715.0]], ('Client:', 0.9993823170661926)], [[[203.0, 757.0], [568.0, 753.0], [569.0, 804.0], [203.0, 808.0]], (' Montgomery LLC', 0.97698575258255)], [[[1248.0, 760.0], [1595.0, 760.0], [1595.0, 808.0], [1248.0, 808.0]], ('Campbell-Flores', 0.9983152151107788)], [[[207.0, 807.0], [661.0, 811.0], [661.0, 863.0], [207.0, 859.0]], ('75081 David Corners', 0.9988074898719788)], [[[1248.0, 807.0], [1650.0, 811.0], [1650.0, 863.0], [1248.0, 859.0]], ('34813 Davis Views', 0.9997361302375793)], [[[207.0, 866.0], [761.0, 866.0], [761.0, 914.0], [207.0, 914.0]], ('Lake Kellyview, NH 03078', 0.9689149260520935)], [[[1240.0, 866.0], [1728.0, 866.0], [1728.0, 914.0], [1240.0, 914.0]], ('Jasonhaven, MO 32671', 0.9910144805908203)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 924-83-8802', 0.9914548993110657)], [[[1248.0, 972.0], [1676.0, 972.0], [1676.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 999-80-5625', 0.9926332235336304)], [[[207.0, 1023.0], [916.0, 1023.0], [916.0, 1071.0], [207.0, 1071.0]], ('IBAN: GB13LKIT26418644296553', 0.9907699227333069)], [[[192.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [192.0, 1191.0]], ('ITEMS', 0.9929741621017456)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1264.0], [1780.0, 1264.0], [1780.0, 1305.0], [1580.0, 1305.0]], ('Net worth', 0.9999362230300903)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[355.0, 1388.0], [846.0, 1392.0], [845.0, 1440.0], [354.0, 1436.0]], ('15"x15" White Marble Coffee', 0.9994289875030518)], [[[2091.0, 1384.0], [2260.0, 1393.0], [2258.0, 1444.0], [2089.0, 1435.0]], ('3 575,00', 0.9977515935897827)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('5,00', 0.9872055053710938)], [[[1145.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1145.0, 1440.0]], (' each', 0.913709819316864)], [[[1403.0, 1396.0], [1528.0, 1396.0], [1528.0, 1436.0], [1403.0, 1436.0]], ('650,00', 0.9708893895149231)], [[[1624.0, 1396.0], [1783.0, 1396.0], [1783.0, 1436.0], [1624.0, 1436.0]], ('3250,00', 0.9587159156799316)], [[[1912.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1912.0, 1440.0]], ('10%', 0.994788646697998)], [[[358.0, 1436.0], [849.0, 1436.0], [849.0, 1484.0], [358.0, 1484.0]], ('Top Table Filigree Lapis Inlay', 0.9846653342247009)], [[[358.0, 1476.0], [661.0, 1480.0], [661.0, 1520.0], [358.0, 1516.0]], ('Art Christmas Gift', 0.9969500303268433)], [[[355.0, 1564.0], [894.0, 1568.0], [893.0, 1608.0], [354.0, 1604.0]], ('30"x30" Marble Black Top Table', 0.9926373362541199)], [[[1008.0, 1559.0], [1098.0, 1569.0], [1093.0, 1613.0], [1003.0, 1603.0]], ('5,00', 0.9983230829238892)], [[[1916.0, 1555.0], [2002.0, 1565.0], [1997.0, 1613.0], [1911.0, 1603.0]], ('10%', 0.9949302673339844)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[1152.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1152.0, 1611.0]], ('each', 0.9978877305984497)], [[[1370.0, 1568.0], [1528.0, 1568.0], [1528.0, 1608.0], [1370.0, 1608.0]], ('2 399,00', 0.984555184841156)], [[[1606.0, 1568.0], [1780.0, 1568.0], [1780.0, 1608.0], [1606.0, 1608.0]], ('11 995,00', 0.9713528752326965)], [[[2079.0, 1568.0], [2252.0, 1568.0], [2252.0, 1608.0], [2079.0, 1608.0]], ('13 194,50', 0.9896121621131897)], [[[358.0, 1604.0], [835.0, 1608.0], [834.0, 1655.0], [358.0, 1652.0]], ('Semi Precious Bird Art Black', 0.9997748136520386)], [[[358.0, 1655.0], [642.0, 1655.0], [642.0, 1692.0], [358.0, 1692.0]], ('Friday Gift Decor', 0.9965306520462036)], [[[351.0, 1739.0], [838.0, 1743.0], [838.0, 1783.0], [351.0, 1779.0]], ('15"x15" White Marble Chess', 0.9784116148948669)], [[[1008.0, 1739.0], [1097.0, 1739.0], [1097.0, 1783.0], [1008.0, 1783.0]], ('3,00', 0.9891558885574341)], [[[1619.0, 1731.0], [1784.0, 1740.0], [1781.0, 1791.0], [1616.0, 1782.0]], ('1 800,00', 0.9829617738723755)], [[[1152.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1152.0, 1783.0]], ('each', 0.9987009763717651)], [[[1403.0, 1743.0], [1528.0, 1743.0], [1528.0, 1783.0], [1403.0, 1783.0]], ('600,00', 0.9898074269294739)], [[[1916.0, 1739.0], [2001.0, 1739.0], [2001.0, 1783.0], [1916.0, 1783.0]], ('10%', 0.9996688961982727)], [[[2093.0, 1736.0], [2256.0, 1736.0], [2256.0, 1787.0], [2093.0, 1787.0]], ('1 980,00', 0.9945058226585388)], [[[251.0, 1747.0], [284.0, 1747.0], [284.0, 1780.0], [251.0, 1780.0]], ('3.', 0.9914537668228149)], [[[358.0, 1787.0], [845.0, 1787.0], [845.0, 1823.0], [358.0, 1823.0]], ('Top Table Carnelian Inlay Art', 0.980960488319397)], [[[358.0, 1827.0], [735.0, 1827.0], [735.0, 1864.0], [358.0, 1864.0]], ('Black Friday Gift Deco', 0.9586681127548218)], [[[192.0, 1962.0], [491.0, 1962.0], [491.0, 2010.0], [192.0, 2010.0]], ('SUMMARY', 0.9950590133666992)], [[[1776.0, 2074.0], [1874.0, 2085.0], [1868.0, 2139.0], [1770.0, 2129.0]], ('VAT', 0.9557650089263916)], [[[956.0, 2087.0], [1122.0, 2087.0], [1122.0, 2138.0], [956.0, 2138.0]], ('VAT [%]', 0.9992411732673645)], [[[1388.0, 2090.0], [1584.0, 2090.0], [1584.0, 2130.0], [1388.0, 2130.0]], ('Net worth', 0.9688122272491455)], [[[2023.0, 2087.0], [2256.0, 2087.0], [2256.0, 2127.0], [2023.0, 2127.0]], ('Gross worth', 0.9994487762451172)], [[[1405.0, 2166.0], [1592.0, 2175.0], [1590.0, 2226.0], [1402.0, 2217.0]], ('17 045,00', 0.9940301179885864)], [[[1700.0, 2166.0], [1869.0, 2175.0], [1866.0, 2226.0], [1697.0, 2217.0]], ('1704,50', 0.9988459944725037)], [[[2077.0, 2166.0], [2264.0, 2175.0], [2262.0, 2226.0], [2074.0, 2217.0]], ('18 749,50', 0.99154132604599)], [[[997.0, 2178.0], [1082.0, 2178.0], [1082.0, 2222.0], [997.0, 2222.0]], ('10%', 0.9996705055236816)], [[[749.0, 2269.0], [853.0, 2269.0], [853.0, 2309.0], [749.0, 2309.0]], ('Total', 0.999843418598175)], [[[1359.0, 2269.0], [1588.0, 2269.0], [1588.0, 2309.0], [1359.0, 2309.0]], ('$17 045,00', 0.9638388752937317)], [[[1661.0, 2266.0], [1864.0, 2266.0], [1864.0, 2306.0], [1661.0, 2306.0]], ('$1704,50', 0.9860224723815918)], [[[2031.0, 2269.0], [2259.0, 2269.0], [2259.0, 2309.0], [2031.0, 2309.0]], ('$ 18749,50', 0.9300649762153625)]]	{'header': {'invoice_no': '13310164', 'invoice_date': '01/16/2020', 'seller': 'Montgomery LLC 75081 David Corners Lake Kellyview, NH 03078', 'client': 'Campbell-Flores 34813 Davis Views Jasonhaven, MO 32671', 'seller_tax_id': '924-83-8802', 'client_tax_id': '999-80-5625', 'iban': 'GB13LKIT26418644296553'}, 'items': [{'item_desc': '15"x15" White Marble Coffee Top Table Filigree Lapis Inlay Art Christmas Gift', 'item_qty': '5,00', 'item_net_price': '650,00', 'item_net_worth': '3250,00', 'item_vat': '10%', 'item_gross_worth': '3575,00'}, {'item_desc': '30"x30" Marble Black Top Table Semi Precious Bird Art Black Friday Gift Décor', 'item_qty': '5,00', 'item_net_price': '2399,00', 'item_net_worth': '11995,00', 'item_vat': '10%', 'item_gross_worth': '13 194,50'}, {'item_desc': '15"x15" White Marble Chess Top Table Carnelian Inlay Art Black Friday Gift Deco', 'item_qty': '3,00', 'item_net_price': '600,00', 'item_vat': '10%', 'item_gross_worth': '1980,00'}, {'item_net_worth': '1800,00'}], 'summary': {'total_net_worth': '$ 17 045,00', 'total_vat': '$1704,50', 'total_gross_worth': '$ 18 749,50'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[196.0, 110.0], [805.0, 110.0], [805.0, 161.0], [196.0, 161.0]], ('Invoice no: 67651165.', 0.972436785697937)], [[[196.0, 212.0], [517.0, 212.0], [517.0, 259.0], [196.0, 259.0]], ('Date of issue:', 0.9986168146133423)], [[[1204.0, 216.0], [1469.0, 216.0], [1469.0, 256.0], [1204.0, 256.0]], ('05/25/2018', 0.9998270869255066)], [[[192.0, 665.0], [388.0, 665.0], [388.0, 716.0], [192.0, 716.0]], ('Seller:', 0.9997318387031555)], [[[1239.0, 657.0], [1430.0, 666.0], [1427.0, 721.0], [1236.0, 712.0]], ('Client:', 0.9934023022651672)], [[[202.0, 761.0], [420.0, 752.0], [422.0, 803.0], [204.0, 812.0]], ('Harris Ltd', 0.9614757299423218)], [[[1248.0, 760.0], [1802.0, 760.0], [1802.0, 808.0], [1248.0, 808.0]], ('Atkins, Benton and Cortez', 0.9871935248374939)], [[[207.0, 807.0], [772.0, 811.0], [771.0, 863.0], [207.0, 859.0]], ('695 Oliver Ways Suite 386', 0.9989221096038818)], [[[1245.0, 807.0], [1617.0, 811.0], [1617.0, 863.0], [1244.0, 859.0]], ('439 Emma Trace', 0.9624373316764832)], [[[210.0, 866.0], [661.0, 866.0], [661.0, 914.0], [210.0, 914.0]], ('Dawnstad, DC 17193', 0.9982192516326904)], [[[1248.0, 866.0], [1842.0, 866.0], [1842.0, 914.0], [1248.0, 914.0]], ('South Dannyberg, WI 23002.', 0.9733791947364807)], [[[207.0, 972.0], [639.0, 972.0], [639.0, 1020.0], [207.0, 1020.0]], ('Tax Id: 914-95-5390', 0.9940761923789978)], [[[1248.0, 972.0], [1680.0, 972.0], [1680.0, 1020.0], [1248.0, 1020.0]], ('Tax Id: 993-98-7329', 0.9894701242446899)], [[[210.0, 1030.0], [912.0, 1030.0], [912.0, 1067.0], [210.0, 1067.0]], ('IBAN: GB51JSPP39809636126056', 0.9766899943351746)], [[[188.0, 1140.0], [377.0, 1140.0], [377.0, 1191.0], [188.0, 1191.0]], ('ITEMS', 0.973893940448761)], [[[233.0, 1268.0], [303.0, 1268.0], [303.0, 1308.0], [233.0, 1308.0]], ('No.', 0.9999094009399414)], [[[358.0, 1268.0], [576.0, 1268.0], [576.0, 1308.0], [358.0, 1308.0]], ('Description', 0.9997653961181641)], [[[1012.0, 1261.0], [1097.0, 1261.0], [1097.0, 1316.0], [1012.0, 1316.0]], ('Qty', 0.9998303055763245)], [[[1159.0, 1264.0], [1237.0, 1264.0], [1237.0, 1308.0], [1159.0, 1308.0]], ('UM', 0.9347040057182312)], [[[1348.0, 1268.0], [1528.0, 1268.0], [1528.0, 1308.0], [1348.0, 1308.0]], ('Net price', 0.9999516010284424)], [[[1580.0, 1268.0], [1780.0, 1268.0], [1780.0, 1308.0], [1580.0, 1308.0]], ('Net worth', 0.9986754655838013)], [[[1842.0, 1268.0], [2001.0, 1268.0], [2001.0, 1308.0], [1842.0, 1308.0]], ('VAT [%]', 0.9989665746688843)], [[[2134.0, 1261.0], [2259.0, 1261.0], [2259.0, 1312.0], [2134.0, 1312.0]], ('Gross', 0.9985858798027039)], [[[2129.0, 1296.0], [2261.0, 1306.0], [2257.0, 1357.0], [2125.0, 1347.0]], (' worth', 0.9336559772491455)], [[[354.0, 1400.0], [705.0, 1400.0], [705.0, 1436.0], [354.0, 1436.0]], ('Nike Air Force 1 Low', 0.9674623608589172)], [[[1004.0, 1396.0], [1097.0, 1396.0], [1097.0, 1440.0], [1004.0, 1440.0]], ('1,00', 0.9984493255615234)], [[[1148.0, 1400.0], [1248.0, 1400.0], [1248.0, 1440.0], [1148.0, 1440.0]], ('each', 0.9973973035812378)], [[[1421.0, 1392.0], [1536.0, 1392.0], [1536.0, 1443.0], [1421.0, 1443.0]], ('54,95', 0.9998297691345215)], [[[1672.0, 1392.0], [1787.0, 1392.0], [1787.0, 1443.0], [1672.0, 1443.0]], ('54,95', 0.9992896318435669)], [[[1912.0, 1396.0], [2001.0, 1396.0], [2001.0, 1440.0], [1912.0, 1440.0]], ('10%', 0.994788646697998)], [[[2152.0, 1396.0], [2256.0, 1396.0], [2256.0, 1443.0], [2152.0, 1443.0]], ('60,45', 0.9974748492240906)], [[[255.0, 1407.0], [281.0, 1407.0], [281.0, 1432.0], [255.0, 1432.0]], ('1', 0.998282790184021)], [[[358.0, 1436.0], [886.0, 1436.0], [886.0, 1484.0], [358.0, 1484.0]], ('314192-117 Triple White Youth', 0.9765617251396179)], [[[355.0, 1476.0], [576.0, 1480.0], [576.0, 1520.0], [354.0, 1516.0]], ('Boys Size 5Y', 0.9966748356819153)], [[[355.0, 1560.0], [831.0, 1564.0], [830.0, 1612.0], [354.0, 1608.0]], ('Adult Kids Pokemon Pikachu', 0.9996960163116455)], [[[1425.0, 1564.0], [1536.0, 1564.0], [1536.0, 1615.0], [1425.0, 1615.0]], ('16,56', 0.9995509386062622)], [[[1676.0, 1564.0], [1787.0, 1564.0], [1787.0, 1615.0], [1676.0, 1615.0]], ('66,24', 0.9988712072372437)], [[[1913.0, 1555.0], [2007.0, 1566.0], [2001.0, 1617.0], [1907.0, 1606.0]], ('10%', 0.9992581009864807)], [[[251.0, 1571.0], [284.0, 1571.0], [284.0, 1604.0], [251.0, 1604.0]], ('2.', 0.993841290473938)], [[[1008.0, 1568.0], [1097.0, 1568.0], [1097.0, 1608.0], [1008.0, 1608.0]], ('4,00', 0.9974629282951355)], [[[1148.0, 1568.0], [1244.0, 1568.0], [1244.0, 1611.0], [1148.0, 1611.0]], ('each', 0.9977310299873352)], [[[2149.0, 1564.0], [2259.0, 1564.0], [2259.0, 1615.0], [2149.0, 1615.0]], ('72,86', 0.9985186457633972)], [[[354.0, 1608.0], [794.0, 1608.0], [794.0, 1655.0], [354.0, 1655.0]], ('Kigurumi Pajama Cosplay', 0.9997712969779968)], [[[358.0, 1655.0], [875.0, 1655.0], [875.0, 1692.0], [358.0, 1692.0]], ('Christmas Costume Sleepwear', 0.9965203404426575)], [[[351.0, 1739.0], [750.0, 1743.0], [749.0, 1783.0], [351.0, 1779.0]], ("Children's sports shoes", 0.997780978679657)], [[[1008.0, 1739.0], [1100.0, 1739.0], [1100.0, 1783.0], [1008.0, 1783.0]], ('4,00', 0.979421079158783)], [[[1145.0, 1743.0], [1244.0, 1743.0], [1244.0, 1783.0], [1145.0, 1783.0]], (' each', 0.931943416595459)], [[[1421.0, 1736.0], [1532.0, 1736.0], [1532.0, 1787.0], [1421.0, 1787.0]], ('19,99', 0.9996360540390015)], [[[1676.0, 1736.0], [1787.0, 1736.0], [1787.0, 1787.0], [1676.0, 1787.0]], ('79,96', 0.9998205900192261)], [[[251.0, 1747.0], [284.0, 1747.0], [284.0, 1776.0], [251.0, 1776.0]], ('3.', 0.9897561073303223)], [[[1912.0, 1739.0], [2005.0, 1739.0], [2005.0, 1783.0], [1912.0, 1783.0]], ('10%', 0.9955744743347168)], [[[2152.0, 1739.0], [2256.0, 1739.0], [2256.0, 1787.0], [2152.0, 1787.0]], ('87,96', 0.9893921613693237)], [[[354.0, 1787.0], [849.0, 1787.0], [849.0, 1823.0], [354.0, 1823.0]], ('breathable mesh boys casual', 0.9943463802337646)], [[[353.0, 1819.0], [463.0, 1828.0], [459.0, 1868.0], [350.0, 1859.0]], ('shoes', 0.9989066123962402)], [[[1147.0, 1906.0], [1249.0, 1916.0], [1245.0, 1960.0], [1143.0, 1950.0]], ('each', 0.9981950521469116)], [[[1421.0, 1907.0], [1532.0, 1907.0], [1532.0, 1959.0], [1421.0, 1959.0]], ('79,99', 0.9995954632759094)], [[[1654.0, 1907.0], [1787.0, 1907.0], [1787.0, 1959.0], [1654.0, 1959.0]], ('399,95', 0.9994929432868958)], [[[1913.0, 1899.0], [2007.0, 1909.0], [2000.0, 1964.0], [1907.0, 1954.0]], ('10%', 0.9998664855957031)], [[[351.0, 1911.0], [849.0, 1915.0], [849.0, 1955.0], [351.0, 1951.0]], ("Timberland Women's/Junior's", 0.9905873537063599)], [[[1008.0, 1911.0], [1097.0, 1911.0], [1097.0, 1955.0], [1008.0, 1955.0]], ('5,00', 0.9935383796691895)], [[[2127.0, 1907.0], [2256.0, 1907.0], [2256.0, 1959.0], [2127.0, 1959.0]], ('439,95', 0.9993691444396973)], [[[258.0, 1926.0], [277.0, 1926.0], [277.0, 1944.0], [258.0, 1944.0]], ('4', 0.9952219128608704)], [[[347.0, 1948.0], [853.0, 1951.0], [853.0, 1999.0], [347.0, 1995.0]], (' Premium 6" Navy Waterproof', 0.9865018129348755)], [[[354.0, 1999.0], [576.0, 1999.0], [576.0, 2035.0], [354.0, 2035.0]], ('Boots 3793A', 0.9836840033531189)], [[[351.0, 2079.0], [897.0, 2079.0], [897.0, 2127.0], [351.0, 2127.0]], ('LL Bean Boys Lot Size 1 Athletic', 0.9996436834335327)], [[[1909.0, 2070.0], [2007.0, 2081.0], [2000.0, 2136.0], [1903.0, 2125.0]], ('10%', 0.9998958706855774)], [[[1008.0, 2087.0], [1097.0, 2087.0], [1097.0, 2127.0], [1008.0, 2127.0]], ('1,00', 0.9944280982017517)], [[[1148.0, 2087.0], [1252.0, 2087.0], [1252.0, 2134.0], [1148.0, 2134.0]], ('each', 0.9719215035438538)], [[[1444.0, 2083.0], [1528.0, 2083.0], [1528.0, 2127.0], [1444.0, 2127.0]], ('6,99', 0.9918699860572815)], [[[1698.0, 2083.0], [1783.0, 2083.0], [1783.0, 2127.0], [1698.0, 2127.0]], ('6,99', 0.9949127435684204)], [[[2163.0, 2079.0], [2256.0, 2079.0], [2256.0, 2134.0], [2163.0, 2134.0]], ('7,69', 0.9978811144828796)], [[[351.0, 2119.0], [872.0, 2127.0], [871.0, 2174.0], [350.0, 2167.0]], (' Sneakers 2 Black Blue Canvas', 0.9793103337287903)], [[[356.0, 2163.0], [518.0, 2171.0], [515.0, 2211.0], [354.0, 2203.0]], ('Belts S M', 0.9902201890945435)], [[[351.0, 2255.0], [816.0, 2255.0], [816.0, 2302.0], [351.0, 2302.0]], ('Lego Star Wars Minifigures', 0.9914970397949219)], [[[1692.0, 2246.0], [1789.0, 2256.0], [1783.0, 2311.0], [1685.0, 2300.0]], ('5,96', 0.9962566494941711)], [[[1004.0, 2258.0], [1093.0, 2258.0], [1093.0, 2302.0], [1004.0, 2302.0]], ('2,00', 0.9985496401786804)], [[[1145.0, 2258.0], [1248.0, 2258.0], [1248.0, 2306.0], [1145.0, 2306.0]], ('each', 0.9988183379173279)], [[[1440.0, 2258.0], [1528.0, 2258.0], [1528.0, 2302.0], [1440.0, 2302.0]], ('2,98', 0.9992644786834717)], [[[1912.0, 2258.0], [2001.0, 2258.0], [2001.0, 2302.0], [1912.0, 2302.0]], ('10%', 0.9987702965736389)], [[[2167.0, 2251.0], [2259.0, 2251.0], [2259.0, 2306.0], [2167.0, 2306.0]], ('6,56', 0.9991655945777893)], [[[258.0, 2269.0], [277.0, 2269.0], [277.0, 2291.0], [258.0, 2291.0]], ('6', 0.834687352180481)], [[[354.0, 2298.0], [893.0, 2298.0], [893.0, 2346.0], [354.0, 2346.0]], ('Stormtrooper Darth Vader Yoda', 0.9985302686691284)], [[[355.0, 2339.0], [794.0, 2342.0], [794.0, 2383.0], [354.0, 2379.0]], ('Obi Van Mandalorian New', 0.9998497366905212)], [[[192.0, 2481.0], [491.0, 2481.0], [491.0, 2532.0], [192.0, 2532.0]], ('SUMMARY', 0.9966851472854614)], [[[956.0, 2605.0], [1122.0, 2605.0], [1122.0, 2657.0], [956.0, 2657.0]], ('VAT [%]', 0.9994757771492004)], [[[1388.0, 2609.0], [1588.0, 2609.0], [1588.0, 2649.0], [1388.0, 2649.0]], ('Net worth', 0.9856247305870056)], [[[1780.0, 2605.0], [1868.0, 2605.0], [1868.0, 2649.0], [1780.0, 2649.0]], ('VAT', 0.8281314373016357)], [[[2023.0, 2605.0], [2256.0, 2605.0], [2256.0, 2646.0], [2023.0, 2646.0]], ('Gross worth', 0.9999347925186157)], [[[997.0, 2685.0], [1084.0, 2695.0], [1078.0, 2746.0], [991.0, 2735.0]], ('10%', 0.9998764991760254)], [[[1458.0, 2693.0], [1591.0, 2693.0], [1591.0, 2744.0], [1458.0, 2744.0]], ('614,05', 0.9995458126068115)], [[[1754.0, 2693.0], [1868.0, 2693.0], [1868.0, 2744.0], [1754.0, 2744.0]], ('61,41', 0.9992977976799011)], [[[2134.0, 2693.0], [2263.0, 2693.0], [2263.0, 2744.0], [2134.0, 2744.0]], ('675,46', 0.9979615211486816)], [[[746.0, 2781.0], [857.0, 2781.0], [857.0, 2832.0], [746.0, 2832.0]], ('Total', 0.9998723268508911)], [[[1410.0, 2781.0], [1591.0, 2781.0], [1591.0, 2832.0], [1410.0, 2832.0]], ('$ 614,05', 0.9958762526512146)], [[[1713.0, 2781.0], [1864.0, 2781.0], [1864.0, 2832.0], [1713.0, 2832.0]], ('$ 61,41', 0.9840105175971985)], [[[2082.0, 2781.0], [2263.0, 2781.0], [2263.0, 2832.0], [2082.0, 2832.0]], ('$ 675,46', 0.9602233171463013)]]	{'header': {'invoice_no': '67651165', 'invoice_date': '05/25/2018', 'seller': 'Harris Ltd 695 Oliver Ways Suite 386 Dawnstad, DC 17193', 'client': 'Atkins, Benton and Cortez 439 Emma Trace South Dannyberg, WI 23002', 'seller_tax_id': '914-95-5390', 'client_tax_id': '993-98-7329', 'iban': '6B515PP39809809636126056'}, 'items': [{'item_desc': 'Nike Air Force 1 Low 314192-117 Triple White Youth Boys Size 5Y', 'item_qty': '1,00', 'item_net_price': '54,95', 'item_net_worth': '54,95', 'item_vat': '10%', 'item_gross_worth': '60,45'}, {'item_desc': 'Adult Kids Pokemon Pikachu Kigurumi Pajama Cosplay Christmas Costume Sleepwear', 'item_qty': '4,00', 'item_net_price': '16,56', 'item_net_worth': '66,24', 'item_vat': '10%', 'item_gross_worth': '72,86'}, {'item_desc': "Children's sports shoes breathable mesh boys casual shoes", 'item_qty': '4,00', 'item_net_price': '19,99', 'item_net_worth': '79,96', 'item_vat': '10%', 'item_gross_worth': '87,96'}, {'item_desc': 'Timberland Women\'s/unior\'s Premium 6" Navy Waterproof Boots 3793A', 'item_qty': '5,00', 'item_net_price': '79,99', 'item_net_worth': '399,95', 'item_vat': '10%', 'item_gross_worth': '439,95'}, {'item_desc': 'LL Bean Boys Lot Size 1 Athletic Sneakers 2 Black Blue Canvas Belts S M', 'item_qty': '1,00', 'item_net_price': '6,99', 'item_net_worth': '6,99', 'item_vat': '10%', 'item_gross_worth': '7,69'}, {'item_desc': 'Lego Star Wars Minifigures Stormtrooper Darth Vader Yoda Obi Van Mandalorian New', 'item_qty': '2,00', 'item_net_price': '2,98', 'item_net_worth': '5,96', 'item_vat': '10%', 'item_gross_worth': '6,56'}], 'summary': {'total_net_worth': '$614,05', 'total_vat': '$61,41', 'total_gross_worth': '675,46'}}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[556.0, 103.0], [931.0, 124.0], [928.0, 189.0], [552.0, 168.0]], ('SAFEWAY', 0.996833324432373)], [[[535.0, 194.0], [836.0, 215.0], [834.0, 244.0], [533.0, 223.0]], ('STORE MGR TOM MILAZZO', 0.9043183922767639)], [[[575.0, 224.0], [1021.0, 256.0], [1019.0, 285.0], [573.0, 253.0]], ('THANK YOU FOR SHOPPING WITH US!', 0.9416089653968811)], [[[908.0, 219.0], [1084.0, 231.0], [1082.0, 260.0], [906.0, 248.0]], ('703-777-5833', 0.987506091594696)], [[[723.0, 351.0], [841.0, 359.0], [839.0, 389.0], [721.0, 381.0]], ('GROCERY', 0.9972161650657654)], [[[465.0, 388.0], [736.0, 410.0], [734.0, 437.0], [463.0, 415.0]], ('BC CHOC CUPCAKES', 0.924831748008728)], [[[463.0, 413.0], [764.0, 441.0], [762.0, 470.0], [461.0, 442.0]], ('CN SPRY FRT SHAPE', 0.9146673083305359)], [[[1000.0, 427.0], [1124.0, 435.0], [1122.0, 469.0], [998.0, 461.0]], ('3.99B', 0.9644194841384888)], [[[462.0, 442.0], [598.0, 458.0], [594.0, 489.0], [459.0, 473.0]], ('RegPrice', 0.9336955547332764)], [[[1028.0, 463.0], [1109.0, 468.0], [1107.0, 498.0], [1026.0, 494.0]], ('49B', 0.9791213870048523)], [[[459.0, 473.0], [661.0, 494.0], [658.0, 522.0], [456.0, 502.0]], ('Card Savings', 0.9511103630065918)], [[[844.0, 475.0], [939.0, 479.0], [937.0, 512.0], [843.0, 508.0]], ('3.79', 0.9916632771492004)], [[[457.0, 502.0], [578.0, 516.0], [575.0, 543.0], [454.0, 529.0]], ('Mfr Cen', 0.8469161987304688)], [[[843.0, 506.0], [930.0, 510.0], [929.0, 541.0], [841.0, 537.0]], ('T.80-', 0.8663822412490845)], [[[455.0, 533.0], [689.0, 553.0], [687.0, 582.0], [453.0, 562.0]], ('Multiplied Cen', 0.8909097909927368)], [[[863.0, 536.0], [926.0, 541.0], [923.0, 572.0], [861.0, 567.0]], ('75', 0.9984608888626099)], [[[447.0, 558.0], [751.0, 585.0], [748.0, 614.0], [444.0, 587.0]], ('DULCE DE LECHE CHE', 0.9302117824554443)], [[[867.0, 564.0], [924.0, 570.0], [921.0, 603.0], [864.0, 596.0]], ('75-', 0.9273571968078613)], [[[444.0, 585.0], [584.0, 603.0], [581.0, 632.0], [441.0, 614.0]], ('RegPrice', 0.9270323514938354)], [[[991.0, 601.0], [1099.0, 611.0], [1096.0, 647.0], [987.0, 637.0]], ('1.99B', 0.9820488095283508)], [[[444.0, 616.0], [648.0, 638.0], [645.0, 668.0], [441.0, 645.0]], ('Card Savings', 0.9730013012886047)], [[[832.0, 620.0], [922.0, 620.0], [922.0, 658.0], [832.0, 658.0]], ('4.19', 0.898399829864502)], [[[440.0, 645.0], [563.0, 657.0], [560.0, 686.0], [437.0, 674.0]], ('Mfr Cpn', 0.8922747373580933)], [[[831.0, 652.0], [917.0, 657.0], [916.0, 687.0], [830.0, 683.0]], ('1.20-', 0.9699368476867676)], [[[438.0, 676.0], [677.0, 698.0], [675.0, 727.0], [436.0, 705.0]], ('Multiplied Cpn', 0.8846674561500549)], [[[860.0, 684.0], [917.0, 684.0], [917.0, 716.0], [860.0, 716.0]], ('50-', 0.9807975888252258)], [[[435.0, 705.0], [741.0, 732.0], [738.0, 761.0], [433.0, 734.0]], ('MULIIGRAIN CHEERIO', 0.9348474144935608)], [[[857.0, 714.0], [915.0, 714.0], [915.0, 747.0], [857.0, 747.0]], ('50-', 0.9419017434120178)], [[[424.0, 730.0], [573.0, 748.0], [569.0, 782.0], [420.0, 764.0]], ('RegPrice', 0.990263819694519)], [[[979.0, 749.0], [1091.0, 761.0], [1087.0, 797.0], [976.0, 785.0]], ('1.50B', 0.991232693195343)], [[[427.0, 763.0], [634.0, 785.0], [631.0, 814.0], [424.0, 792.0]], ('Card Savings', 0.9759854674339294)], [[[818.0, 768.0], [901.0, 773.0], [899.0, 809.0], [816.0, 804.0]], ('3.99', 0.9923629760742188)], [[[425.0, 792.0], [548.0, 805.0], [545.0, 835.0], [422.0, 821.0]], ('Mfr Cen', 0.8583751320838928)], [[[819.0, 801.0], [905.0, 805.0], [904.0, 836.0], [818.0, 831.0]], ('1.49-', 0.9009407162666321)], [[[422.0, 824.0], [663.0, 848.0], [660.0, 879.0], [419.0, 855.0]], ('Multielled Cpn', 0.8763484954833984)], [[[838.0, 834.0], [905.0, 834.0], [905.0, 866.0], [838.0, 866.0]], ('.50-', 0.8612882494926453)], [[[410.0, 853.0], [707.0, 880.0], [705.0, 909.0], [408.0, 882.0]], ('PROGRESSO R&H STK', 0.9363348484039307)], [[[846.0, 863.0], [905.0, 870.0], [901.0, 905.0], [842.0, 897.0]], ('50-', 0.9310054779052734)], [[[410.0, 882.0], [558.0, 898.0], [555.0, 928.0], [407.0, 913.0]], ('RegPrice', 0.9119895696640015)], [[[411.0, 913.0], [619.0, 933.0], [616.0, 968.0], [407.0, 947.0]], ('Card Savings', 0.9572773575782776)], [[[969.0, 904.0], [1081.0, 916.0], [1078.0, 950.0], [966.0, 938.0]], ('2.00B', 0.9828702807426453)], [[[807.0, 919.0], [901.0, 928.0], [898.0, 964.0], [804.0, 955.0]], ('2.69', 0.9745864868164062)], [[[831.0, 954.0], [896.0, 961.0], [893.0, 995.0], [827.0, 988.0]], ('.69-', 0.8766428232192993)], [[[612.0, 996.0], [838.0, 1022.0], [834.0, 1051.0], [609.0, 1025.0]], ('REFRIG/FROZEN', 0.9957467317581177)], [[[400.0, 1036.0], [489.0, 1042.0], [487.0, 1073.0], [398.0, 1066.0]], ('101Y', 0.7635402679443359)], [[[382.0, 1064.0], [704.0, 1093.0], [701.0, 1128.0], [379.0, 1099.0]], ('PLSBRY BSCT SANDWI', 0.9340589046478271)], [[[385.0, 1097.0], [703.0, 1129.0], [700.0, 1160.0], [382.0, 1128.0]], ('AOTTNUS PZH STUFFE', 0.8055716156959534)], [[[379.0, 1129.0], [529.0, 1146.0], [526.0, 1177.0], [376.0, 1160.0]], ('heee', 0.5209413170814514)], [[[989.0, 1134.0], [1046.0, 1141.0], [1043.0, 1167.0], [986.0, 1160.0]], ('50', 0.9933654069900513)], [[[1042.0, 1145.0], [1073.0, 1145.0], [1073.0, 1168.0], [1042.0, 1168.0]], ('R', 0.7463240027427673)], [[[383.0, 1165.0], [539.0, 1173.0], [537.0, 1199.0], [381.0, 1196.0]], ('Card Sayi', 0.8133154511451721)]]	{"store_name": "SAFEWAY", "store_addr": "", "telephone": "703-777-5833", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BCCHOCCUPCAKES", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ACNSPRYFRTSHAPE", "item_value": ".49", "item_quantity": "1"}, {"item_key": "", "item_name": "DULCEDELECHECHE", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MULTIGRAINCHEERIO", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PROGRESSOR&HSTK", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PLSBRYBSCTSANDWI", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TOTINOSPZASTOFFE", "item_value": "3.49", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[369.0, 64.0], [609.0, 53.0], [611.0, 99.0], [371.0, 110.0]], ("Walmart'", 0.922177791595459)], [[[485.0, 128.0], [504.0, 128.0], [504.0, 144.0], [485.0, 144.0]], ('S', 0.554480254650116)], [[[360.0, 167.0], [554.0, 153.0], [556.0, 185.0], [362.0, 199.0]], ('SUPERCENTER', 0.9965152740478516)], [[[357.0, 223.0], [553.0, 205.0], [556.0, 236.0], [360.0, 254.0]], ('STORE #1089', 0.9600732922554016)], [[[352.0, 324.0], [574.0, 314.0], [576.0, 351.0], [354.0, 362.0]], ('085430100956', 0.9948096871376038)], [[[127.0, 335.0], [294.0, 335.0], [294.0, 361.0], [127.0, 361.0]], ('GR MN 6PK', 0.9395990371704102)], [[[654.0, 344.0], [778.0, 344.0], [778.0, 370.0], [654.0, 370.0]], ('$12.97', 0.9953624606132507)], [[[119.0, 358.0], [575.0, 344.0], [576.0, 381.0], [120.0, 395.0]], ('GRLDS 4PKB085230300748', 0.9697194695472717)], [[[774.0, 352.0], [792.0, 352.0], [792.0, 368.0], [774.0, 368.0]], ('J', 0.6567898392677307)], [[[674.0, 365.0], [773.0, 361.0], [774.0, 388.0], [675.0, 393.0]], ('$5.00', 0.9971009492874146)], [[[351.0, 376.0], [575.0, 376.0], [575.0, 413.0], [351.0, 413.0]], ('085230300748', 0.9979764819145203)], [[[121.0, 391.0], [365.0, 385.0], [366.0, 411.0], [122.0, 417.0]], ('GR LDS 4PK B', 0.9000272154808044)], [[[684.0, 387.0], [770.0, 387.0], [770.0, 407.0], [684.0, 407.0]], ('$5.00', 0.9974405169487)], [[[355.0, 407.0], [577.0, 405.0], [577.0, 437.0], [355.0, 439.0]], ('002215415066', 0.9483323097229004)], [[[683.0, 403.0], [813.0, 408.0], [812.0, 441.0], [682.0, 437.0]], ('$7.97 J', 0.9191398024559021)], [[[121.0, 419.0], [299.0, 412.0], [300.0, 438.0], [122.0, 445.0]], ('BATH TOWEL', 0.9497897028923035)], [[[118.0, 442.0], [301.0, 440.0], [302.0, 474.0], [118.0, 476.0]], ('MS BT TEAL', 0.936069130897522)], [[[355.0, 439.0], [577.0, 437.0], [577.0, 470.0], [355.0, 472.0]], ('894110135608', 0.9982269406318665)], [[[685.0, 435.0], [815.0, 439.0], [814.0, 472.0], [683.0, 468.0]], ('$6.97J', 0.9527187943458557)], [[[118.0, 474.0], [579.0, 470.0], [579.0, 507.0], [118.0, 511.0]], ('MS BTF PINK 894110135600', 0.9428286552429199)], [[[685.0, 468.0], [815.0, 472.0], [814.0, 506.0], [683.0, 501.0]], ('$6.97J', 0.9883442521095276)], [[[360.0, 509.0], [577.0, 509.0], [577.0, 541.0], [360.0, 541.0]], ('002215445065', 0.997286319732666)], [[[686.0, 503.0], [816.0, 503.0], [816.0, 537.0], [686.0, 537.0]], ('$7.97 J', 0.9337833523750305)], [[[123.0, 513.0], [303.0, 513.0], [303.0, 544.0], [123.0, 544.0]], ('BATH TOWEL', 0.9711236953735352)], [[[683.0, 533.0], [818.0, 537.0], [817.0, 576.0], [682.0, 572.0]], ('$4.00J', 0.9792694449424744)], [[[123.0, 544.0], [235.0, 544.0], [235.0, 578.0], [123.0, 578.0]], ('OPP BT', 0.905819833278656)], [[[360.0, 544.0], [579.0, 540.0], [579.0, 574.0], [361.0, 578.0]], ('896400119106', 0.9981746673583984)], [[[125.0, 581.0], [237.0, 581.0], [237.0, 613.0], [125.0, 613.0]], ('OPP BT', 0.925761878490448)], [[[360.0, 579.0], [579.0, 575.0], [579.0, 607.0], [361.0, 611.0]], ('896400119106', 0.9982519745826721)], [[[686.0, 572.0], [814.0, 572.0], [814.0, 605.0], [686.0, 605.0]], ('$4.00J', 0.9854831695556641)], [[[362.0, 611.0], [579.0, 607.0], [579.0, 640.0], [363.0, 644.0]], ('896400119105', 0.9983994364738464)], [[[686.0, 605.0], [814.0, 605.0], [814.0, 639.0], [686.0, 639.0]], ('$4.00J', 0.9880723357200623)], [[[129.0, 615.0], [239.0, 615.0], [239.0, 648.0], [129.0, 648.0]], ('OPP BT', 0.9191702008247375)], [[[129.0, 644.0], [239.0, 644.0], [239.0, 677.0], [129.0, 677.0]], ('OPP BT', 0.9150183796882629)], [[[366.0, 644.0], [579.0, 644.0], [579.0, 676.0], [366.0, 676.0]], ('896400119105', 0.9983833432197571)], [[[684.0, 639.0], [814.0, 639.0], [814.0, 672.0], [684.0, 672.0]], ('$4.00J', 0.9890652298927307)], [[[132.0, 679.0], [243.0, 679.0], [243.0, 713.0], [132.0, 713.0]], ('OPP BT', 0.9066381454467773)], [[[368.0, 677.0], [579.0, 677.0], [579.0, 709.0], [368.0, 709.0]], ('896400119105', 0.998109757900238)], [[[682.0, 672.0], [812.0, 668.0], [813.0, 701.0], [683.0, 706.0]], ('$4.00J', 0.9549188613891602)], [[[366.0, 711.0], [580.0, 707.0], [581.0, 738.0], [366.0, 742.0]], ('896400119105', 0.9982929825782776)], [[[684.0, 703.0], [812.0, 703.0], [812.0, 737.0], [684.0, 737.0]], ('$4.00J', 0.987986147403717)], [[[134.0, 713.0], [244.0, 713.0], [244.0, 746.0], [134.0, 746.0]], ('OPP BT', 0.9252168536186218)], [[[132.0, 743.0], [247.0, 738.0], [249.0, 777.0], [133.0, 782.0]], ('OPP BT', 0.9181724190711975)], [[[369.0, 740.0], [581.0, 738.0], [581.0, 772.0], [370.0, 774.0]], ('896400119105', 0.9979854226112366)], [[[684.0, 737.0], [811.0, 737.0], [811.0, 768.0], [684.0, 768.0]], ('$4.00 J', 0.9253662824630737)], [[[138.0, 777.0], [246.0, 777.0], [246.0, 811.0], [138.0, 811.0]], ('OPP BT', 0.9160268902778625)], [[[369.0, 774.0], [580.0, 770.0], [581.0, 803.0], [370.0, 807.0]], ('896400119105', 0.9979733824729919)], [[[684.0, 768.0], [809.0, 768.0], [809.0, 800.0], [684.0, 800.0]], ('$4.00 J', 0.9301047921180725)], [[[458.0, 805.0], [594.0, 805.0], [594.0, 839.0], [458.0, 839.0]], ('SUBTOTAL', 0.9960286617279053)], [[[665.0, 802.0], [769.0, 797.0], [771.0, 831.0], [666.0, 835.0]], ('$84.85', 0.9969175457954407)], [[[425.0, 839.0], [533.0, 839.0], [533.0, 870.0], [425.0, 870.0]], ('GST 5%', 0.9158833622932434)], [[[680.0, 831.0], [772.0, 831.0], [772.0, 864.0], [680.0, 864.0]], ('$4.24', 0.9726434946060181)], [[[509.0, 870.0], [596.0, 870.0], [596.0, 898.0], [509.0, 898.0]], ('TOTAL', 0.9966961145401001)], [[[665.0, 863.0], [772.0, 861.0], [772.0, 894.0], [666.0, 896.0]], ('$89.09', 0.9970600008964539)], [[[423.0, 900.0], [601.0, 898.0], [601.0, 931.0], [423.0, 933.0]], ('VISATEND', 0.9936953783035278)], [[[665.0, 896.0], [771.0, 890.0], [773.0, 923.0], [667.0, 930.0]], ('$89.09', 0.9966092109680176)], [[[721.0, 957.0], [800.0, 957.0], [800.0, 985.0], [721.0, 985.0]], ('I1', 0.9082368612289429)], [[[145.0, 970.0], [726.0, 955.0], [726.0, 988.0], [146.0, 1004.0]], ('SCOTIABANK VISA ** 8059', 0.8436433672904968)], [[[145.0, 1003.0], [448.0, 994.0], [449.0, 1025.0], [146.0, 1035.0]], ('APPR0VAL#498874', 0.9726031422615051)], [[[145.0, 1035.0], [413.0, 1023.0], [414.0, 1057.0], [146.0, 1068.0]], ('REF#001001219', 0.991792619228363)], [[[147.0, 1065.0], [598.0, 1047.0], [600.0, 1084.0], [148.0, 1102.0]], ('TRANS ID-587356780252981', 0.9711443781852722)], [[[148.0, 1133.0], [468.0, 1118.0], [469.0, 1149.0], [150.0, 1165.0]], ('AID A0000000031010', 0.9679615497589111)], [[[150.0, 1161.0], [484.0, 1145.0], [486.0, 1182.0], [152.0, 1198.0]], ('TC 4B885A10FB8B89EE', 0.8408081531524658)], [[[150.0, 1195.0], [534.0, 1175.0], [536.0, 1212.0], [152.0, 1232.0]], ('TERMINAL # WMTCJ009801', 0.9502089023590088)], [[[152.0, 1229.0], [385.0, 1216.0], [387.0, 1247.0], [154.0, 1261.0]], ('*Pin Verified', 0.9416924715042114)], [[[295.0, 1280.0], [440.0, 1273.0], [442.0, 1312.0], [297.0, 1318.0]], ('12/22/17', 0.9983525276184082)], [[[516.0, 1272.0], [663.0, 1266.0], [664.0, 1303.0], [518.0, 1309.0]], ('14:40:29', 0.9443609714508057)], [[[696.0, 1330.0], [793.0, 1321.0], [797.0, 1361.0], [699.0, 1371.0]], ('$0.00', 0.9985039830207825)], [[[433.0, 1344.0], [611.0, 1336.0], [613.0, 1369.0], [435.0, 1378.0]], ('CHANGE DUE', 0.9580926895141602)], [[[158.0, 1385.0], [611.0, 1369.0], [613.0, 1406.0], [159.0, 1422.0]], ('GST/HST 137466199 RT 0001', 0.9476566314697266)], [[[152.0, 1422.0], [560.0, 1404.0], [561.0, 1441.0], [154.0, 1459.0]], ('QST 1016551356 TQ 0001', 0.9386327862739563)], [[[218.0, 1492.0], [765.0, 1475.0], [767.0, 1532.0], [220.0, 1550.0]], ('#ITEMS SOLD15', 0.9534249901771545)], [[[231.0, 1555.0], [740.0, 1543.0], [741.0, 1581.0], [232.0, 1592.0]], ('TC# 2197047874303159935', 0.9756810665130615)], [[[202.0, 1707.0], [777.0, 1699.0], [778.0, 1736.0], [203.0, 1744.0]], ('New Thursday f lyer start date', 0.9365257620811462)], [[[138.0, 1753.0], [309.0, 1753.0], [309.0, 1771.0], [138.0, 1771.0]], ('ireaine', 0.5310625433921814)]]	{"store_name": "Walmart", "store_addr": "Calgary,Alberta", "telephone": "(403)301-2051", "date": "12/22/17", "time": "14:40:29", "subtotal": "$84.85", "tax": "$4.24", "total": "$89.09 $89.09", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GRMN6PK", "item_value": "$12.97", "item_quantity": "1"}, {"item_key": "", "item_name": "GRLDS4PK", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GRLDS4PK", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BATHTOWEL", "item_value": "$7.97", "item_quantity": "1"}, {"item_key": "", "item_name": "MSBTTEAL", "item_value": "$6.97", "item_quantity": "1"}, {"item_key": "", "item_name": "MSBTFPINK", "item_value": "$6.97", "item_quantity": "1"}, {"item_key": "", "item_name": "BATHTOWEL", "item_value": "$7.97", "item_quantity": "1"}, {"item_key": "", "item_name": "OPPBT", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OPPBT", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OPPBT", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OPPBT", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OPPBT", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OPPBT", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OPPBT", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OPPBT", "item_value": "$4.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[306.0, 33.0], [390.0, 33.0], [390.0, 68.0], [306.0, 68.0]], ('BAR', 0.998163640499115)], [[[177.0, 84.0], [517.0, 77.0], [518.0, 118.0], [177.0, 125.0]], ('XAMPANYET', 0.9970595240592957)], [[[146.0, 161.0], [546.0, 152.0], [547.0, 173.0], [146.0, 181.0]], ('C/MONTCADA,22-08003 BARCELONA', 0.9529997706413269)], [[[173.0, 185.0], [519.0, 177.0], [519.0, 198.0], [174.0, 205.0]], ('NIF.:36507787W TELF.933197003', 0.9632131457328796)], [[[140.0, 229.0], [498.0, 223.0], [499.0, 244.0], [141.0, 250.0]], ('Fra.Simple:TA21070221 Cambrer:EDU', 0.9538704752922058)], [[[140.0, 252.0], [295.0, 249.0], [295.0, 270.0], [141.0, 273.0]], ('Data:09/02/2018', 0.9766861796379089)], [[[368.0, 249.0], [507.0, 245.0], [507.0, 265.0], [369.0, 270.0]], ('Hora:15:24:42', 0.9266267418861389)], [[[139.0, 275.0], [238.0, 273.0], [239.0, 295.0], [140.0, 297.0]], ('Taula:B02', 0.9443791508674622)], [[[370.0, 271.0], [484.0, 269.0], [485.0, 290.0], [370.0, 293.0]], ('Comensals:0', 0.9851437211036682)], [[[152.0, 342.0], [249.0, 339.0], [250.0, 364.0], [153.0, 367.0]], ('Descripcio', 0.9809172749519348)], [[[377.0, 339.0], [435.0, 339.0], [435.0, 361.0], [377.0, 361.0]], ('Quant', 0.997642993927002)], [[[459.0, 336.0], [505.0, 336.0], [505.0, 359.0], [459.0, 359.0]], ('Preu', 0.9980047345161438)], [[[523.0, 334.0], [585.0, 334.0], [585.0, 357.0], [523.0, 357.0]], ('Import', 0.9945412278175354)], [[[146.0, 392.0], [188.0, 397.0], [185.0, 423.0], [143.0, 418.0]], ('Pop', 0.9968255162239075)], [[[392.0, 391.0], [436.0, 388.0], [437.0, 412.0], [393.0, 415.0]], ('1,00', 0.9540124535560608)], [[[471.0, 388.0], [513.0, 388.0], [513.0, 411.0], [471.0, 411.0]], ('9,00', 0.9796018004417419)], [[[540.0, 385.0], [584.0, 385.0], [584.0, 409.0], [540.0, 409.0]], ('9,00', 0.9808362722396851)], [[[393.0, 419.0], [437.0, 416.0], [438.0, 440.0], [394.0, 443.0]], ('1,00', 0.8654970526695251)], [[[462.0, 417.0], [515.0, 417.0], [515.0, 440.0], [462.0, 440.0]], ('15,00', 0.977979838848114)], [[[530.0, 415.0], [583.0, 412.0], [584.0, 436.0], [531.0, 439.0]], ('15,00', 0.9754804372787476)], [[[145.0, 425.0], [320.0, 421.0], [321.0, 445.0], [145.0, 449.0]], ('Llagostins del Delta', 0.9659522771835327)], [[[395.0, 447.0], [438.0, 447.0], [438.0, 471.0], [395.0, 471.0]], ('3,00', 0.9782708883285522)], [[[470.0, 446.0], [514.0, 443.0], [516.0, 466.0], [472.0, 469.0]], ('1,60', 0.9450366497039795)], [[[541.0, 443.0], [586.0, 443.0], [586.0, 467.0], [541.0, 467.0]], ('4,80', 0.9614969491958618)], [[[147.0, 455.0], [240.0, 453.0], [241.0, 475.0], [147.0, 477.0]], ('Barquetes', 0.9927976131439209)], [[[395.0, 478.0], [438.0, 475.0], [439.0, 498.0], [396.0, 501.0]], ('1,00', 0.9708299040794373)], [[[471.0, 475.0], [514.0, 472.0], [516.0, 496.0], [473.0, 499.0]], ('5,60', 0.9640316963195801)], [[[542.0, 472.0], [587.0, 472.0], [587.0, 496.0], [542.0, 496.0]], ('5,60', 0.9714003801345825)], [[[148.0, 485.0], [227.0, 485.0], [227.0, 504.0], [148.0, 504.0]], ('Anxoves', 0.9978436231613159)], [[[396.0, 507.0], [439.0, 504.0], [440.0, 528.0], [398.0, 531.0]], ('1,00', 0.9798738360404968)], [[[473.0, 505.0], [517.0, 502.0], [518.0, 526.0], [474.0, 529.0]], ('2,10', 0.9789881706237793)], [[[543.0, 502.0], [589.0, 502.0], [589.0, 526.0], [543.0, 526.0]], ('2,10', 0.9759324789047241)], [[[148.0, 514.0], [346.0, 509.0], [346.0, 531.0], [148.0, 536.0]], ('Pa amb Tomaquet 6 p', 0.9463725686073303)], [[[397.0, 534.0], [441.0, 534.0], [441.0, 558.0], [397.0, 558.0]], ('2,00', 0.9821444749832153)], [[[475.0, 532.0], [519.0, 532.0], [519.0, 556.0], [475.0, 556.0]], ('2,30', 0.9823451638221741)], [[[545.0, 531.0], [589.0, 531.0], [589.0, 554.0], [545.0, 554.0]], ('4,60', 0.9347633719444275)], [[[148.0, 542.0], [279.0, 538.0], [279.0, 563.0], [149.0, 567.0]], ('Canya Urquell', 0.9695139527320862)], [[[398.0, 564.0], [442.0, 564.0], [442.0, 588.0], [398.0, 588.0]], ('2,00', 0.9853197932243347)], [[[476.0, 562.0], [520.0, 562.0], [520.0, 585.0], [476.0, 585.0]], ('1,80', 0.9473886489868164)], [[[545.0, 562.0], [590.0, 559.0], [592.0, 583.0], [547.0, 586.0]], ('3,60', 0.9596335291862488)], [[[148.0, 572.0], [308.0, 567.0], [309.0, 592.0], [149.0, 597.0]], ('Copa Xampanyet', 0.9877840876579285)], [[[400.0, 594.0], [442.0, 594.0], [442.0, 618.0], [400.0, 618.0]], ('1,00', 0.988669753074646)], [[[477.0, 592.0], [520.0, 589.0], [521.0, 614.0], [479.0, 617.0]], ('1,40', 0.9723786115646362)], [[[549.0, 591.0], [592.0, 591.0], [592.0, 615.0], [549.0, 615.0]], ('1,40', 0.9773120880126953)], [[[149.0, 602.0], [348.0, 597.0], [349.0, 619.0], [150.0, 624.0]], ('Pa amb Tomaquet4 p', 0.9619836807250977)], [[[402.0, 623.0], [443.0, 623.0], [443.0, 647.0], [402.0, 647.0]], ('1,00', 0.9869529008865356)], [[[478.0, 622.0], [522.0, 622.0], [522.0, 646.0], [478.0, 646.0]], ('3,00', 0.9829221367835999)], [[[550.0, 621.0], [594.0, 621.0], [594.0, 645.0], [550.0, 645.0]], ('3,00', 0.9720778465270996)], [[[149.0, 632.0], [303.0, 628.0], [304.0, 650.0], [150.0, 654.0]], ('Tomaquets Secs', 0.977641224861145)], [[[400.0, 653.0], [443.0, 650.0], [445.0, 675.0], [402.0, 678.0]], ('1,00', 0.9780489206314087)], [[[471.0, 652.0], [524.0, 652.0], [524.0, 675.0], [471.0, 675.0]], ('16,00', 0.9714890718460083)], [[[540.0, 651.0], [594.0, 651.0], [594.0, 674.0], [540.0, 674.0]], ('16,00', 0.9652867317199707)], [[[150.0, 662.0], [330.0, 655.0], [331.0, 677.0], [151.0, 684.0]], ('Daus Filet de Vedell', 0.9546841382980347)], [[[403.0, 682.0], [445.0, 682.0], [445.0, 706.0], [403.0, 706.0]], ('1,00', 0.9704246520996094)], [[[482.0, 682.0], [524.0, 682.0], [524.0, 706.0], [482.0, 706.0]], ('8,50', 0.9753827452659607)], [[[553.0, 681.0], [597.0, 681.0], [597.0, 705.0], [553.0, 705.0]], ('8,50', 0.972556471824646)], [[[151.0, 692.0], [322.0, 687.0], [323.0, 708.0], [152.0, 713.0]], ('Calamars Sanfaina', 0.9728351831436157)], [[[404.0, 712.0], [446.0, 712.0], [446.0, 738.0], [404.0, 738.0]], ('1,00', 0.9809893369674683)], [[[483.0, 712.0], [526.0, 712.0], [526.0, 736.0], [483.0, 736.0]], ('1,60', 0.962295651435852)], [[[555.0, 711.0], [599.0, 711.0], [599.0, 735.0], [555.0, 735.0]], ('1,60', 0.9610940217971802)], [[[150.0, 722.0], [322.0, 716.0], [323.0, 737.0], [151.0, 743.0]], ('Patates Escalibada', 0.9795777201652527)], [[[150.0, 751.0], [336.0, 746.0], [337.0, 771.0], [151.0, 776.0]], ('Truita patates amb x', 0.9429866075515747)], [[[404.0, 743.0], [447.0, 743.0], [447.0, 768.0], [404.0, 768.0]], ('1,00', 0.9775087833404541)], [[[484.0, 743.0], [527.0, 743.0], [527.0, 767.0], [484.0, 767.0]], ('5,50', 0.9805206060409546)], [[[555.0, 743.0], [600.0, 743.0], [600.0, 767.0], [555.0, 767.0]], ('5,50', 0.9844081401824951)], [[[151.0, 781.0], [271.0, 779.0], [272.0, 801.0], [152.0, 803.0]], ('Pasta Crema', 0.9745538830757141)], [[[405.0, 774.0], [449.0, 774.0], [449.0, 798.0], [405.0, 798.0]], ('1,00', 0.9816958904266357)], [[[485.0, 774.0], [528.0, 774.0], [528.0, 798.0], [485.0, 798.0]], ('1,50', 0.9789762496948242)], [[[557.0, 773.0], [601.0, 773.0], [601.0, 798.0], [557.0, 798.0]], ('1,50', 0.9777116775512695)], [[[261.0, 833.0], [350.0, 830.0], [351.0, 855.0], [262.0, 858.0]], ('Base Imp', 0.9521195888519287)], [[[389.0, 829.0], [444.0, 829.0], [444.0, 853.0], [389.0, 853.0]], ('%IVA', 0.9119263887405396)], [[[498.0, 829.0], [537.0, 829.0], [537.0, 854.0], [498.0, 854.0]], ('IVA', 0.9965298771858215)], [[[260.0, 861.0], [317.0, 858.0], [318.0, 884.0], [261.0, 887.0]], ('74,73', 0.9676844477653503)], [[[389.0, 854.0], [447.0, 857.0], [445.0, 884.0], [387.0, 881.0]], ('10,00', 0.9657167196273804)], [[[499.0, 858.0], [542.0, 858.0], [542.0, 883.0], [499.0, 883.0]], ('7,47', 0.940679132938385)], [[[393.0, 909.0], [572.0, 915.0], [571.0, 944.0], [392.0, 938.0]], ('Total:82.20', 0.9572160243988037)]]	{"store_name": "BAR XAMPANYET", "store_addr": "C/MONTCADA,22-08003BARCELONA", "telephone": "", "date": "09/02/2018", "time": "15:24:42", "subtotal": "74,73", "tax": "7,47", "total": "Total:82.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Pop", "item_value": "9,00", "item_quantity": "1"}, {"item_key": "", "item_name": "LlagostinsdelDelta", "item_value": "15,00", "item_quantity": "1"}, {"item_key": "", "item_name": "Barquetes", "item_value": "4,80", "item_quantity": "1"}, {"item_key": "", "item_name": "Anxoves", "item_value": "5,60", "item_quantity": "1"}, {"item_key": "", "item_name": "PaambTomaquet6p.", "item_value": "2,10", "item_quantity": "1"}, {"item_key": "", "item_name": "CanyaUrquell", "item_value": "4,60", "item_quantity": "1"}, {"item_key": "", "item_name": "CopaXampanyet", "item_value": "3,60", "item_quantity": "1"}, {"item_key": "", "item_name": "PaambTomaquet4p.", "item_value": "1,40", "item_quantity": "1"}, {"item_key": "", "item_name": "TomaquetsSecs", "item_value": "3,00", "item_quantity": "1"}, {"item_key": "", "item_name": "DausFiletdeVedell", "item_value": "16,00", "item_quantity": "1"}, {"item_key": "", "item_name": "CalamarsSanfaina", "item_value": "8,50", "item_quantity": "1"}, {"item_key": "", "item_name": "PatatesEscalibada", "item_value": "1,60", "item_quantity": "1"}, {"item_key": "", "item_name": "TruitapatatesambX", "item_value": "5,50", "item_quantity": "1"}, {"item_key": "", "item_name": "PastaCrema", "item_value": "1,50", "item_quantity": "1"}, {"item_key": "Descripci\u00f3", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[167.0, 55.0], [322.0, 57.0], [322.0, 76.0], [166.0, 73.0]], ('Hog Island Oyster Co.', 0.9224883317947388)], [[[182.0, 75.0], [313.0, 78.0], [312.0, 96.0], [181.0, 93.0]], ('San Francisco, CA', 0.930965006351471)], [[[159.0, 95.0], [342.0, 97.0], [342.0, 114.0], [159.0, 112.0]], ('www.hogislandoysters.com', 0.992074191570282)], [[[200.0, 115.0], [305.0, 115.0], [305.0, 132.0], [200.0, 132.0]], ('(415391-7117', 0.9536905884742737)], [[[91.0, 147.0], [192.0, 151.0], [191.0, 169.0], [90.0, 165.0]], ('Server:Sadie', 0.9526416659355164)], [[[330.0, 152.0], [408.0, 150.0], [409.0, 167.0], [330.0, 169.0]], ('01/24/2015', 0.9965993165969849)], [[[92.0, 167.0], [128.0, 167.0], [128.0, 185.0], [92.0, 185.0]], ('62/1', 0.9976828098297119)], [[[352.0, 170.0], [409.0, 170.0], [409.0, 187.0], [352.0, 187.0]], ('4:36PM', 0.9546672701835632)], [[[92.0, 186.0], [163.0, 186.0], [163.0, 204.0], [92.0, 204.0]], ('Guests:3', 0.9348199367523193)], [[[315.0, 207.0], [407.0, 207.0], [407.0, 224.0], [315.0, 224.0]], ('#40095', 0.9853386282920837)], [[[92.0, 239.0], [170.0, 242.0], [169.0, 260.0], [92.0, 257.0]], ('Bar Mix 12', 0.9225242733955383)], [[[366.0, 243.0], [408.0, 243.0], [408.0, 261.0], [366.0, 261.0]], ('36.00', 0.9963301420211792)], [[[93.0, 256.0], [149.0, 259.0], [149.0, 277.0], [93.0, 274.0]], ('Sweet 6', 0.9180718660354614)], [[[368.0, 262.0], [407.0, 262.0], [407.0, 277.0], [368.0, 277.0]], ('18.00', 0.9976215362548828)], [[[94.0, 277.0], [267.0, 277.0], [267.0, 294.0], [94.0, 294.0]], ('Worcestershire (4 @3.25)', 0.9421561360359192)], [[[366.0, 278.0], [408.0, 278.0], [408.0, 296.0], [366.0, 296.0]], ('13.00', 0.9418371319770813)], [[[95.0, 295.0], [201.0, 295.0], [201.0, 309.0], [95.0, 309.0]], ('Pesto43.25', 0.9704614877700806)], [[[366.0, 297.0], [406.0, 297.0], [406.0, 312.0], [366.0, 312.0]], ('13.00', 0.9976045489311218)], [[[95.0, 314.0], [227.0, 314.0], [227.0, 328.0], [95.0, 328.0]], ('Spot Prawn Risotto', 0.9647565484046936)], [[[364.0, 315.0], [404.0, 315.0], [404.0, 330.0], [364.0, 330.0]], ('23.00', 0.9964298009872437)], [[[93.0, 328.0], [146.0, 330.0], [146.0, 348.0], [92.0, 346.0]], ('Chowder', 0.9966262578964233)], [[[364.0, 331.0], [404.0, 331.0], [404.0, 349.0], [364.0, 349.0]], ('14.00', 0.9964319467544556)], [[[94.0, 364.0], [154.0, 364.0], [154.0, 382.0], [94.0, 382.0]], ('Subtotal', 0.9950681328773499)], [[[355.0, 365.0], [403.0, 365.0], [403.0, 383.0], [355.0, 383.0]], ('117.00', 0.9940404295921326)], [[[94.0, 381.0], [119.0, 384.0], [117.0, 401.0], [92.0, 398.0]], ('Tax', 0.995655357837677)], [[[362.0, 382.0], [404.0, 385.0], [402.0, 404.0], [361.0, 401.0]], ('10.55', 0.9948400259017944)], [[[94.0, 418.0], [176.0, 418.0], [176.0, 435.0], [94.0, 435.0]], ('SF Mandates', 0.955454409122467)], [[[368.0, 419.0], [402.0, 419.0], [402.0, 438.0], [368.0, 438.0]], ('3.53', 0.9971685409545898)], [[[93.0, 452.0], [132.0, 452.0], [132.0, 470.0], [93.0, 470.0]], ('Total', 0.9935425519943237)], [[[354.0, 452.0], [402.0, 454.0], [401.0, 472.0], [353.0, 470.0]], ('131.08', 0.9944953322410583)], [[[95.0, 485.0], [254.0, 487.0], [254.0, 504.0], [95.0, 502.0]], ('Balance Due', 0.9544343948364258)], [[[313.0, 488.0], [399.0, 488.0], [399.0, 505.0], [313.0, 505.0]], ('131.08', 0.9671317934989929)], [[[166.0, 520.0], [314.0, 522.0], [313.0, 539.0], [165.0, 537.0]], ('For your convenience.', 0.9335139989852905)], [[[202.0, 536.0], [284.0, 538.0], [283.0, 556.0], [201.0, 553.0]], ('15%=17.55', 0.991043746471405)], [[[203.0, 553.0], [283.0, 556.0], [282.0, 573.0], [203.0, 570.0]], ('18%=21.06', 0.9911286234855652)], [[[203.0, 574.0], [282.0, 574.0], [282.0, 588.0], [203.0, 588.0]], ('20%=23.40', 0.9917961955070496)], [[[208.0, 587.0], [282.0, 590.0], [281.0, 608.0], [208.0, 606.0]], ('Thank You!', 0.9410272836685181)]]	{"store_name": "HogIslandOysterCo.", "store_addr": "SanFrancisco.CA", "telephone": "(415)391-7117", "date": "01/24/2015", "time": "4:36PM", "subtotal": "117.00", "tax": "10.55", "total": "131.08 131.08", "ignore": "", "tips": "20%=23.40 18%=21.06 15%=17.55", "line_items": [{"item_key": "", "item_name": "Chowder", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SpotPrawnRisotto", "item_value": "23.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Pesto([email protected])", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Worcestershire([email protected])", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sweet6", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BarMix12", "item_value": "36.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[85.0, 56.0], [180.0, 52.0], [181.0, 69.0], [86.0, 74.0]], ('P 3 Houg', 0.5399162173271179)], [[[48.0, 127.0], [143.0, 136.0], [142.0, 150.0], [47.0, 141.0]], ('T1sch100', 0.9483540058135986)], [[[48.0, 138.0], [128.0, 147.0], [126.0, 161.0], [46.0, 152.0]], ('29.01.201814:23', 0.9525423645973206)], [[[148.0, 145.0], [237.0, 140.0], [238.0, 154.0], [149.0, 159.0]], ('Bed.14 Rg.2836', 0.9029716849327087)], [[[48.0, 162.0], [127.0, 169.0], [126.0, 182.0], [47.0, 175.0]], ("0.31 Beck's 0.31", 0.8426499366760254)], [[[214.0, 166.0], [237.0, 166.0], [237.0, 178.0], [214.0, 178.0]], ('3.10', 0.993188202381134)], [[[48.0, 177.0], [97.0, 177.0], [97.0, 191.0], [48.0, 191.0]], ('Cola 0,31', 0.855012834072113)], [[[47.0, 187.0], [167.0, 192.0], [166.0, 206.0], [47.0, 201.0]], ('906 15 Mitteheiner Ries', 0.8914761543273926)], [[[214.0, 178.0], [238.0, 178.0], [238.0, 190.0], [214.0, 190.0]], ('3.10', 0.9900462031364441)], [[[214.0, 189.0], [238.0, 189.0], [238.0, 201.0], [214.0, 201.0]], ('5.50', 0.9854723215103149)], [[[47.0, 199.0], [106.0, 201.0], [106.0, 215.0], [47.0, 213.0]], ('DICKE RIPPE', 0.9636226892471313)], [[[213.0, 201.0], [239.0, 201.0], [239.0, 214.0], [213.0, 214.0]], ('13.50', 0.9927886724472046)], [[[48.0, 212.0], [119.0, 214.0], [118.0, 227.0], [48.0, 225.0]], ('Rinderrouladen', 0.9884180426597595)], [[[212.0, 211.0], [239.0, 211.0], [239.0, 226.0], [212.0, 226.0]], ('16.50', 0.9916168451309204)], [[[47.0, 225.0], [134.0, 225.0], [134.0, 238.0], [47.0, 238.0]], ('Blaubeer-Kuchlein', 0.925713837146759)], [[[214.0, 223.0], [239.0, 223.0], [239.0, 238.0], [214.0, 238.0]], ('6.95', 0.9718921780586243)], [[[62.0, 249.0], [86.0, 249.0], [86.0, 261.0], [62.0, 261.0]], ('MNST', 0.9100815057754517)], [[[108.0, 248.0], [135.0, 248.0], [135.0, 261.0], [108.0, 261.0]], ('Netto', 0.9824810028076172)], [[[147.0, 248.0], [178.0, 248.0], [178.0, 259.0], [147.0, 259.0]], ('Steuer', 0.9577915072441101)], [[[193.0, 244.0], [225.0, 246.0], [224.0, 260.0], [192.0, 258.0]], ('Brutto', 0.9938716888427734)], [[[54.0, 261.0], [87.0, 261.0], [87.0, 275.0], [54.0, 275.0]], ('19.00%', 0.9910770058631897)], [[[108.0, 260.0], [135.0, 260.0], [135.0, 273.0], [108.0, 273.0]], ('40.88', 0.8799368143081665)], [[[157.0, 258.0], [179.0, 258.0], [179.0, 270.0], [157.0, 270.0]], ('7.77', 0.9914660453796387)], [[[196.0, 257.0], [226.0, 257.0], [226.0, 271.0], [196.0, 271.0]], ('48.65', 0.9369348287582397)], [[[47.0, 287.0], [103.0, 285.0], [104.0, 299.0], [47.0, 302.0]], ('Summe', 0.9975337982177734)], [[[173.0, 281.0], [239.0, 281.0], [239.0, 292.0], [173.0, 292.0]], ('48.65ER', 0.8954752087593079)], [[[47.0, 312.0], [105.0, 308.0], [106.0, 322.0], [47.0, 326.0]], ('BARZAHLUNG:', 0.9761990904808044)], [[[195.0, 303.0], [241.0, 303.0], [241.0, 317.0], [195.0, 317.0]], ('48.65 EUR', 0.8954031467437744)], [[[50.0, 348.0], [209.0, 334.0], [210.0, 351.0], [52.0, 365.0]], ('w.ratskeerbrenen.de ', 0.7457025647163391)], [[[62.0, 372.0], [210.0, 357.0], [211.0, 374.0], [63.0, 389.0]], ('Vie len Dank fur Ihren Besuch', 0.8785669803619385)], [[[57.0, 410.0], [200.0, 393.0], [202.0, 410.0], [59.0, 428.0]], ('KENNEN SIE SCHON UNSERE NEUE,', 0.8498033881187439)], [[[88.0, 435.0], [160.0, 422.0], [162.0, 436.0], [91.0, 449.0]], ('MITTAGSKARTE?', 0.9644061326980591)]]	{"store_name": "BremerRatskeller", "store_addr": "28195BremenAmMarkt", "telephone": "0421/321676", "date": "29.01.2018", "time": "14:23", "subtotal": "40.88", "tax": "7.77", "total": "48.65 48.65EUR", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "0,31Reck's0,31", "item_value": "3.10", "item_quantity": "1"}, {"item_key": "", "item_name": "Cola0,31", "item_value": "3.10", "item_quantity": "1"}, {"item_key": "", "item_name": "90615MitteTheimerRiesl", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "DICKERIPPE", "item_value": "13.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Rinderrouladen", "item_value": "16.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Blaubeer-k\u00fcchlein", "item_value": "6.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[198.0, 1.0], [294.0, 0.0], [295.0, 14.0], [198.0, 17.0]], ('The Tower Bar', 0.9012822508811951)], [[[173.0, 13.0], [327.0, 13.0], [327.0, 37.0], [173.0, 37.0]], ('+SUNSET TOWER HOTEL+', 0.9631301760673523)], [[[181.0, 34.0], [320.0, 34.0], [320.0, 55.0], [181.0, 55.0]], ('8358 W Sunset B1vd', 0.8813126683235168)], [[[205.0, 69.0], [301.0, 71.0], [300.0, 93.0], [205.0, 90.0]], ('323.654.7100', 0.9695219993591309)], [[[100.0, 134.0], [201.0, 134.0], [201.0, 151.0], [100.0, 151.0]], ('309 Victoria', 0.9540541768074036)], [[[90.0, 173.0], [161.0, 171.0], [162.0, 191.0], [91.0, 193.0]], ('Chk 5860', 0.9448882341384888)], [[[360.0, 171.0], [410.0, 168.0], [411.0, 188.0], [361.0, 190.0]], ('Gst 0', 0.8704959750175476)], [[[123.0, 233.0], [291.0, 229.0], [291.0, 250.0], [124.0, 254.0]], ('Restaurant', 0.9982783198356628)], [[[105.0, 253.0], [206.0, 251.0], [206.0, 271.0], [106.0, 273.0]], ('2French 75', 0.9504353404045105)], [[[353.0, 246.0], [397.0, 244.0], [398.0, 263.0], [354.0, 265.0]], ('36.00', 0.996662974357605)], [[[107.0, 274.0], [178.0, 272.0], [179.0, 290.0], [108.0, 292.0]], ('2Peroni', 0.9873625636100769)], [[[351.0, 265.0], [395.0, 263.0], [396.0, 281.0], [352.0, 284.0]], ('20.00', 0.9975303411483765)], [[[351.0, 301.0], [394.0, 301.0], [394.0, 319.0], [351.0, 319.0]], ('56.00', 0.9974836111068726)], [[[127.0, 314.0], [195.0, 309.0], [196.0, 327.0], [128.0, 332.0]], ('SUBTOTAL', 0.9963811039924622)], [[[357.0, 320.0], [394.0, 320.0], [394.0, 340.0], [357.0, 340.0]], ('5.32', 0.993617594242096)], [[[128.0, 331.0], [159.0, 331.0], [159.0, 351.0], [128.0, 351.0]], ('TAX', 0.9969434142112732)], [[[311.0, 338.0], [391.0, 341.0], [390.0, 359.0], [310.0, 356.0]], ('61.32', 0.9863398671150208)], [[[95.0, 353.0], [236.0, 345.0], [237.0, 363.0], [96.0, 371.0]], ('08:31PM TOTAL DUE', 0.9263204336166382)]]	{"store_name": "", "store_addr": "8358WSunsetBlvd WestHollywood,CA90069", "telephone": "323.654.7100", "date": "", "time": "08:31PM", "subtotal": "56.00", "tax": "5.32", "total": "61.32", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "French75", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Peroni", "item_value": "20.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[227.0, 71.0], [376.0, 77.0], [375.0, 101.0], [226.0, 95.0]], ('Panera Bread', 0.9550158977508545)], [[[244.0, 103.0], [356.0, 108.0], [355.0, 132.0], [243.0, 128.0]], ('Cafe 3762', 0.9279932379722595)], [[[184.0, 135.0], [415.0, 143.0], [414.0, 167.0], [183.0, 159.0]], ('BaltimoreMD21202', 0.9804075360298157)], [[[183.0, 167.0], [413.0, 175.0], [412.0, 199.0], [182.0, 190.0]], ('Phone:410-528-1427', 0.9772650599479675)], [[[29.0, 223.0], [140.0, 228.0], [139.0, 252.0], [28.0, 247.0]], ('1/14/2013', 0.9971073865890503)], [[[377.0, 237.0], [514.0, 242.0], [514.0, 266.0], [376.0, 261.0]], ('12:32:13PM', 0.9256097674369812)], [[[28.0, 254.0], [281.0, 265.0], [280.0, 289.0], [27.0, 279.0]], ('Check Number:559461', 0.9531838297843933)], [[[314.0, 266.0], [412.0, 271.0], [411.0, 295.0], [313.0, 291.0]], ('Cashier:', 0.9824933409690857)], [[[446.0, 271.0], [539.0, 276.0], [538.0, 300.0], [445.0, 296.0]], ('Brandon', 0.9978815317153931)], [[[63.0, 287.0], [233.0, 294.0], [232.0, 318.0], [62.0, 311.0]], ('1 You Pick Two', 0.8957505822181702)], [[[456.0, 303.0], [513.0, 305.0], [511.0, 332.0], [455.0, 329.0]], ('8.59', 0.9976755380630493)], [[[121.0, 321.0], [386.0, 332.0], [385.0, 356.0], [120.0, 344.0]], ('11/2 Chipctle Chicken', 0.9078651666641235)], [[[121.0, 352.0], [253.0, 358.0], [252.0, 381.0], [120.0, 375.0]], ('1No Tomato', 0.907939612865448)], [[[121.0, 383.0], [344.0, 393.0], [343.0, 416.0], [120.0, 406.0]], ('1 1/2 Spinach Power', 0.9057729840278625)], [[[122.0, 413.0], [365.0, 425.0], [364.0, 448.0], [120.0, 436.0]], ('1 TOSS THE SALAD LOL', 0.9098266363143921)], [[[117.0, 443.0], [320.0, 455.0], [319.0, 480.0], [115.0, 468.0]], ('1 No Meal Upgrade', 0.898160457611084)], [[[113.0, 476.0], [236.0, 481.0], [235.0, 507.0], [111.0, 501.0]], ('1***CHIPS', 0.8431473970413208)], [[[53.0, 506.0], [210.0, 513.0], [209.0, 537.0], [52.0, 530.0]], ('1 Md Iced Tea', 0.938843846321106)], [[[449.0, 528.0], [504.0, 531.0], [502.0, 557.0], [448.0, 554.0]], ('1.69', 0.9970528483390808)], [[[206.0, 543.0], [302.0, 550.0], [300.0, 575.0], [204.0, 568.0]], ('SubTotal', 0.9905535578727722)], [[[437.0, 560.0], [503.0, 564.0], [501.0, 590.0], [436.0, 586.0]], ('10.28', 0.9952051043510437)], [[[202.0, 574.0], [245.0, 578.0], [242.0, 607.0], [199.0, 602.0]], ('Tax', 0.9956703782081604)], [[[447.0, 595.0], [500.0, 595.0], [500.0, 611.0], [447.0, 611.0]], ('0.62', 0.8291328549385071)]]	{"store_name": "PaneraBread Cafe3762", "store_addr": "Baltimore,MD21202", "telephone": "410-528-1427", "date": "1/14/2013", "time": "12:32:13PM", "subtotal": "10.28", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "1/2ChipotleChicken", "item_value": "8.59", "item_quantity": "1"}, {"item_key": "", "item_name": "NoTomato", "item_value": "1.69", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2SpinachPower", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "TossTHESALADLOL", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "NoMealUpgrade", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "***CHIPS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MdIcedTea", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[177.0, 10.0], [332.0, 10.0], [332.0, 29.0], [177.0, 29.0]], ('7-ELEVEN', 0.9908362627029419)], [[[183.0, 31.0], [321.0, 29.0], [321.0, 46.0], [184.0, 48.0]], ('246 ELLIOTT ST', 0.9069511294364929)], [[[174.0, 49.0], [331.0, 48.0], [331.0, 67.0], [174.0, 68.0]], ('BEVERLY MA01915', 0.9580212235450745)], [[[202.0, 68.0], [301.0, 68.0], [301.0, 88.0], [202.0, 88.0]], ('9789276781', 0.9978020787239075)], [[[185.0, 90.0], [311.0, 90.0], [311.0, 106.0], [185.0, 106.0]], ('STORE#34392', 0.9880327582359314)], [[[184.0, 108.0], [322.0, 108.0], [322.0, 127.0], [184.0, 127.0]], ('Tom Brady is a', 0.9318050146102905)], [[[175.0, 128.0], [318.0, 128.0], [318.0, 145.0], [175.0, 145.0]], ('football God!!!', 0.8700558543205261)], [[[55.0, 163.0], [262.0, 165.0], [262.0, 185.0], [55.0, 183.0]], ('1HrshyMIkChocXL4.4z', 0.9026477336883545)], [[[388.0, 165.0], [441.0, 165.0], [441.0, 186.0], [388.0, 186.0]], ('2.69F', 0.9864409565925598)], [[[58.0, 203.0], [134.0, 203.0], [134.0, 221.0], [58.0, 221.0]], ('SUBTOTAL', 0.996933102607727)], [[[398.0, 204.0], [441.0, 204.0], [441.0, 223.0], [398.0, 223.0]], ('2.69', 0.9969751834869385)], [[[59.0, 223.0], [146.0, 223.0], [146.0, 240.0], [59.0, 240.0]], ('TOTAL DUE', 0.9505157470703125)], [[[397.0, 224.0], [441.0, 224.0], [441.0, 242.0], [397.0, 242.0]], ('2.69', 0.994475781917572)], [[[60.0, 242.0], [139.0, 242.0], [139.0, 259.0], [60.0, 259.0]], ('CASH', 0.994669497013092)], [[[369.0, 242.0], [449.0, 242.0], [449.0, 262.0], [369.0, 262.0]], ('2.69', 0.99742591381073)], [[[193.0, 298.0], [301.0, 298.0], [301.0, 317.0], [193.0, 317.0]], ('Haters live', 0.9348970651626587)], [[[195.0, 317.0], [301.0, 317.0], [301.0, 336.0], [195.0, 336.0]], ('in Denver!!', 0.8645168542861938)], [[[192.0, 337.0], [424.0, 337.0], [424.0, 354.0], [192.0, 354.0]], ('REPRINT*X', 0.8088515996932983)], [[[60.0, 354.0], [418.0, 357.0], [418.0, 375.0], [60.0, 372.0]], ('T#01 0P08 TRN819711/05/2015 11:30 PM', 0.9260421395301819)]]	{"store_name": "7-ELEVEN", "store_addr": "246ELLIOTTST BEVERLYMA01915", "telephone": "9789276781", "date": "11/05/2015", "time": "11:30PM", "subtotal": "2.69", "tax": "", "total": "2.69", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HrshyMlkChocXL4.4z", "item_value": "2.69F", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[1.0, 27.0], [219.0, 14.0], [221.0, 38.0], [2.0, 52.0]], ('COSTCO WHOLESALE', 0.9679716229438782)], [[[0.0, 55.0], [224.0, 41.0], [225.0, 58.0], [1.0, 73.0]], ('ICHMONDCA#482', 0.9847332835197449)], [[[65.0, 104.0], [132.0, 98.0], [133.0, 115.0], [67.0, 121.0]], ('MEMBER', 0.9905968308448792)], [[[123.0, 99.0], [213.0, 92.0], [215.0, 109.0], [124.0, 116.0]], ('#303014002001', 0.9707494974136353)], [[[0.0, 145.0], [65.0, 137.0], [67.0, 156.0], [0.0, 163.0]], ('28.99', 0.9944097399711609)], [[[217.0, 140.0], [265.0, 134.0], [267.0, 153.0], [219.0, 158.0]], ('17.98T', 0.8991277813911438)], [[[48.0, 158.0], [181.0, 146.0], [183.0, 162.0], [50.0, 174.0]], ('1.0509 GROWERBUNCH', 0.9380786418914795)], [[[224.0, 156.0], [262.0, 151.0], [264.0, 170.0], [226.0, 175.0]], ('8.99', 0.9950133562088013)], [[[50.0, 175.0], [184.0, 162.0], [186.0, 178.0], [52.0, 192.0]], ('10509 GROWER BUNCH', 0.9448539018630981)], [[[225.0, 173.0], [265.0, 168.0], [267.0, 185.0], [227.0, 189.0]], ('8.99', 0.9011380076408386)], [[[51.0, 193.0], [184.0, 178.0], [186.0, 196.0], [53.0, 210.0]], ('10509 GROWER BUNCH', 0.9377107620239258)], [[[223.0, 189.0], [267.0, 184.0], [268.0, 199.0], [225.0, 204.0]], ('8.99 T', 0.8762360215187073)], [[[53.0, 209.0], [181.0, 193.0], [183.0, 211.0], [55.0, 228.0]], ('10509GROWER BUNCH', 0.9644052982330322)], [[[220.0, 201.0], [264.0, 198.0], [265.0, 212.0], [221.0, 215.0]], ('8.99 T', 0.8904545903205872)], [[[218.0, 213.0], [262.0, 210.0], [263.0, 225.0], [219.0, 227.0]], ('8.99', 0.9915454983711243)], [[[53.0, 226.0], [181.0, 208.0], [183.0, 225.0], [55.0, 243.0]], ('10509 GROWER BUNCH', 0.9380015134811401)], [[[211.0, 228.0], [260.0, 221.0], [262.0, 236.0], [213.0, 242.0]], ('12.99', 0.9871308207511902)], [[[213.0, 242.0], [253.0, 234.0], [256.0, 249.0], [216.0, 257.0]], ('8.99', 0.9714055061340332)], [[[208.0, 270.0], [250.0, 256.0], [256.0, 274.0], [214.0, 288.0]], ('12.99', 0.8896117210388184)], [[[212.0, 296.0], [240.0, 290.0], [244.0, 307.0], [216.0, 313.0]], ('9.15', 0.9895579814910889)], [[[63.0, 333.0], [163.0, 308.0], [168.0, 330.0], [68.0, 354.0]], ('8.25TATE', 0.8792175054550171)], [[[199.0, 324.0], [242.0, 317.0], [245.0, 335.0], [202.0, 341.0]], ('120.04', 0.9158804416656494)], [[[230.0, 352.0], [244.0, 352.0], [244.0, 359.0], [230.0, 359.0]], ('Ad', 0.7704453468322754)]]	{"store_name": "", "store_addr": "ICHMOND,CA#482", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "9.15", "total": "120.04", "ignore": " ROSEBOUQUET ", "tips": "", "line_items": [{"item_key": "", "item_name": "GROWERBUNCH", "item_value": "17.98", "item_quantity": "1"}, {"item_key": "", "item_name": "GROWERBUNCH", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROWERBUNCH", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROWERBUNCH", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROWERBUNCH", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROWERBUNCH", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ROSE BOUQUET", "item_value": "12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROWERBUNCH", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ROSEBOUQUET", "item_value": "12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "12.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[111.0, 17.0], [209.0, 18.0], [209.0, 32.0], [110.0, 31.0]], ('231 Margaret Street', 0.9578725099563599)], [[[113.0, 30.0], [209.0, 29.0], [209.0, 43.0], [113.0, 44.0]], ('Key Mest,FL 33040', 0.8972775936126709)], [[[128.0, 43.0], [200.0, 43.0], [200.0, 54.0], [128.0, 54.0]], ('305294-7496', 0.9917600750923157)], [[[53.0, 76.0], [109.0, 79.0], [108.0, 93.0], [53.0, 90.0]], ('Table 24/1', 0.9279353022575378)], [[[54.0, 67.0], [122.0, 67.0], [122.0, 78.0], [54.0, 78.0]], ('Server: Sandy', 0.9278994202613831)], [[[218.0, 67.0], [271.0, 67.0], [271.0, 78.0], [218.0, 78.0]], ('05/25/2016', 0.9945825338363647)], [[[52.0, 89.0], [105.0, 92.0], [104.0, 106.0], [52.0, 103.0]], ('Guests:4', 0.9521782398223877)], [[[242.0, 90.0], [273.0, 90.0], [273.0, 104.0], [242.0, 104.0]], ('20035', 0.998923122882843)], [[[53.0, 113.0], [104.0, 116.0], [103.0, 130.0], [53.0, 127.0]], ('Hog Sand', 0.9774608612060547)], [[[244.0, 114.0], [273.0, 114.0], [273.0, 129.0], [244.0, 129.0]], ('15.95', 0.9928222894668579)], [[[61.0, 128.0], [175.0, 128.0], [175.0, 141.0], [61.0, 141.0]], ('Sub Mixed Vegetables', 0.9316577911376953)], [[[247.0, 126.0], [274.0, 126.0], [274.0, 141.0], [247.0, 141.0]], ('1.50', 0.9913058876991272)], [[[53.0, 139.0], [179.0, 140.0], [179.0, 154.0], [53.0, 153.0]], ('Do1phin Sand 2 15.95', 0.8665637969970703)], [[[243.0, 139.0], [274.0, 139.0], [274.0, 153.0], [243.0, 153.0]], ('31.90', 0.9865779876708984)], [[[61.0, 152.0], [225.0, 152.0], [225.0, 165.0], [61.0, 165.0]], ('Sub Mixed Vegetables 2 @1.50', 0.9174621105194092)], [[[248.0, 153.0], [273.0, 153.0], [273.0, 165.0], [248.0, 165.0]], ('3.00', 0.9952218532562256)], [[[52.0, 164.0], [125.0, 165.0], [125.0, 179.0], [52.0, 178.0]], ('Do1phin Sand', 0.874456524848938)], [[[245.0, 164.0], [274.0, 164.0], [274.0, 178.0], [245.0, 178.0]], ('15.95', 0.9957886934280396)], [[[60.0, 178.0], [143.0, 178.0], [143.0, 191.0], [60.0, 191.0]], ('Sub Rice Pilaf', 0.8787040710449219)], [[[250.0, 178.0], [273.0, 178.0], [273.0, 190.0], [250.0, 190.0]], ('1.50', 0.9918451309204102)], [[[52.0, 189.0], [158.0, 190.0], [158.0, 204.0], [52.0, 203.0]], ('S1de Corn 2 @3.00)', 0.9029127359390259)], [[[251.0, 190.0], [273.0, 190.0], [273.0, 202.0], [251.0, 202.0]], ('6.00', 0.9853615760803223)], [[[52.0, 201.0], [109.0, 203.0], [108.0, 216.0], [52.0, 214.0]], ('HH Rings', 0.9181779026985168)], [[[250.0, 202.0], [274.0, 202.0], [274.0, 214.0], [250.0, 214.0]], ('5.50', 0.9931009411811829)], [[[51.0, 215.0], [148.0, 215.0], [148.0, 228.0], [51.0, 228.0]], ('HH Buffaio Shrimp', 0.8704936504364014)], [[[249.0, 212.0], [275.0, 214.0], [274.0, 229.0], [247.0, 227.0]], ('5.50', 0.9928576350212097)], [[[54.0, 229.0], [93.0, 229.0], [93.0, 240.0], [54.0, 240.0]], ('"Corona', 0.9622005224227905)], [[[249.0, 226.0], [275.0, 226.0], [275.0, 241.0], [249.0, 241.0]], ('2.50', 0.9959167242050171)], [[[52.0, 240.0], [133.0, 240.0], [133.0, 254.0], [52.0, 254.0]], ('Coconut Shriap', 0.9240205883979797)], [[[246.0, 240.0], [276.0, 240.0], [276.0, 254.0], [246.0, 254.0]], ('12.95', 0.9946897625923157)], [[[51.0, 252.0], [129.0, 253.0], [129.0, 267.0], [51.0, 266.0]], ('Bread Pudding', 0.9750524759292603)], [[[250.0, 252.0], [276.0, 252.0], [276.0, 267.0], [250.0, 267.0]], ('7.95', 0.9929953217506409)], [[[52.0, 267.0], [124.0, 267.0], [124.0, 278.0], [52.0, 278.0]], ('*Key Lime Pie', 0.8712189197540283)], [[[250.0, 265.0], [277.0, 265.0], [277.0, 280.0], [250.0, 280.0]], ('5.95', 0.9953670501708984)], [[[50.0, 277.0], [134.0, 278.0], [133.0, 292.0], [50.0, 291.0]], ('Chocolate Cake', 0.9515599608421326)], [[[251.0, 279.0], [276.0, 279.0], [276.0, 291.0], [251.0, 291.0]], ('7.95', 0.9899595379829407)], [[[50.0, 304.0], [95.0, 304.0], [95.0, 318.0], [50.0, 318.0]], ('Subtotal', 0.9899130463600159)], [[[242.0, 304.0], [278.0, 304.0], [278.0, 318.0], [242.0, 318.0]], ('124.10', 0.9890556335449219)], [[[49.0, 316.0], [73.0, 319.0], [72.0, 334.0], [48.0, 331.0]], ('Tax', 0.9898355603218079)], [[[251.0, 319.0], [278.0, 319.0], [278.0, 332.0], [251.0, 332.0]], ('9.31', 0.9932898879051208)], [[[49.0, 345.0], [78.0, 345.0], [78.0, 360.0], [49.0, 360.0]], ('Total', 0.9885271191596985)], [[[244.0, 345.0], [278.0, 345.0], [278.0, 360.0], [244.0, 360.0]], ('133.41', 0.990715742111206)], [[[48.0, 371.0], [168.0, 372.0], [168.0, 386.0], [48.0, 385.0]], ('Balance Due', 0.9518529772758484)], [[[213.0, 371.0], [276.0, 371.0], [276.0, 385.0], [213.0, 385.0]], ('133.41', 0.9844399094581604)], [[[80.0, 400.0], [247.0, 400.0], [247.0, 414.0], [80.0, 414.0]], ('Are you a Southernmost Rewards', 0.9561720490455627)], [[[86.0, 414.0], [147.0, 414.0], [147.0, 425.0], [86.0, 425.0]], ('Member?#', 0.9621488451957703)], [[[80.0, 425.0], [244.0, 427.0], [244.0, 441.0], [80.0, 439.0]], ('Want to join? Ask your server.', 0.9127981662750244)]]	{"store_name": "", "store_addr": "231MargaretStreet KeyMest,FL33040", "telephone": "(305)294-7496", "date": "05/25/2016", "time": "5:24PM", "subtotal": "124.10", "tax": "9.31", "total": "133.41", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HogSand", "item_value": "15.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SunMixedVegetables", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "DolphinSand(2@15,95)", "item_value": "31.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SubMixedVegetables([email protected])", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DolphinSand", "item_value": "15.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SubRicePilaf", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SideCorn([email protected])", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HHRings", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "HHBuffaloShrimp", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Corona", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CoconutShrimp", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BreadPudding", "item_value": "7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "KeyLimePie", "item_value": "5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "*ChocolateCake", "item_value": "7.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[111.0, 0.0], [260.0, 18.0], [257.0, 35.0], [109.0, 15.0]], ('wn Car Wash & Quick Lube', 0.9340408444404602)], [[[126.0, 16.0], [209.0, 27.0], [207.0, 44.0], [124.0, 33.0]], ('522 Route 303', 0.9564103484153748)], [[[103.0, 29.0], [228.0, 45.0], [226.0, 63.0], [101.0, 47.0]], ('Orangeburg,NY 10962', 0.9362546801567078)], [[[125.0, 48.0], [202.0, 59.0], [200.0, 75.0], [123.0, 64.0]], ('845-359-6647', 0.9898557066917419)], [[[108.0, 62.0], [216.0, 77.0], [214.0, 94.0], [106.0, 78.0]], ('9/22/2015 8:59 AM', 0.9271397590637207)], [[[59.0, 87.0], [255.0, 112.0], [253.0, 129.0], [57.0, 104.0]], ('YOUR CASHIER TODAY IS:Carlos B.', 0.8923419117927551)], [[[109.0, 127.0], [201.0, 137.0], [198.0, 166.0], [106.0, 155.0]], ('L116948', 0.9661389589309692)], [[[50.0, 160.0], [164.0, 175.0], [162.0, 191.0], [48.0, 177.0]], ('1.FULL SERVICE OIL', 0.912243127822876)], [[[47.0, 177.0], [169.0, 191.0], [167.0, 208.0], [45.0, 194.0]], ('4.4 10W-30 BULK 0IL', 0.8607393503189087)], [[[46.0, 193.0], [112.0, 201.0], [110.0, 218.0], [44.0, 210.0]], ('1 M252-SP1', 0.9468460083007812)], [[[260.0, 184.0], [300.0, 189.0], [298.0, 207.0], [257.0, 202.0]], ('$34.95', 0.9029657244682312)], [[[44.0, 210.0], [117.0, 218.0], [115.0, 235.0], [42.0, 227.0]], ('1XXENVIRO', 0.973901093006134)], [[[264.0, 202.0], [297.0, 206.0], [295.0, 222.0], [262.0, 218.0]], ('$0.00', 0.9962599873542786)], [[[262.0, 218.0], [296.0, 222.0], [294.0, 238.0], [260.0, 234.0]], ('$0.00', 0.9969996213912964)], [[[259.0, 234.0], [295.0, 237.0], [294.0, 254.0], [258.0, 252.0]], ('$1.02', 0.9942957162857056)], [[[134.0, 251.0], [194.0, 259.0], [192.0, 276.0], [132.0, 269.0]], ('SUBTOTAL:', 0.9796730875968933)], [[[133.0, 269.0], [174.0, 274.0], [172.0, 289.0], [131.0, 284.0]], ('TAXES:', 0.9712459444999695)], [[[250.0, 265.0], [292.0, 268.0], [290.0, 286.0], [249.0, 282.0]], ('$35.97', 0.9943297505378723)], [[[131.0, 285.0], [171.0, 290.0], [169.0, 305.0], [129.0, 300.0]], ('TOTAL:', 0.9881688952445984)], [[[255.0, 281.0], [290.0, 285.0], [288.0, 303.0], [252.0, 299.0]], ('$2.93', 0.9962708353996277)], [[[129.0, 300.0], [185.0, 306.0], [184.0, 320.0], [128.0, 314.0]], ('TENDERED:', 0.9814444780349731)], [[[247.0, 298.0], [287.0, 302.0], [286.0, 317.0], [246.0, 313.0]], ('$38.90', 0.9952161908149719)], [[[129.0, 312.0], [197.0, 320.0], [196.0, 334.0], [127.0, 326.0]], ('CHANGE DUE:', 0.9579039216041565)], [[[249.0, 313.0], [285.0, 316.0], [284.0, 330.0], [248.0, 327.0]], ('$0.00', 0.9978969693183899)], [[[247.0, 325.0], [283.0, 328.0], [282.0, 341.0], [246.0, 339.0]], ('$0.00', 0.994215190410614)]]	{"store_name": "", "store_addr": "522Route303 Orangeburg,NY10962", "telephone": "845-359-6647", "date": "9/22/2015", "time": "8:59AM", "subtotal": "$35.97", "tax": "$2.93", "total": "$38.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FULLSERVICEOIL", "item_value": "$34.95", "item_quantity": "1"}, {"item_key": "", "item_name": ".410W-30BULKOIL", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "M252-SP1", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "XX:ENVIRO", "item_value": "$1.02", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[79.0, 40.0], [138.0, 37.0], [139.0, 51.0], [80.0, 54.0]], ('7-ELEVEN', 0.9787578582763672)], [[[63.0, 54.0], [151.0, 52.0], [151.0, 62.0], [64.0, 65.0]], ('DALLEX251376413', 0.7710025906562805)], [[[89.0, 49.0], [130.0, 49.0], [130.0, 56.0], [89.0, 56.0]], ('7901', 0.6928884387016296)], [[[81.0, 63.0], [134.0, 63.0], [134.0, 77.0], [81.0, 77.0]], ('STORE427', 0.6359044313430786)], [[[71.0, 74.0], [107.0, 74.0], [107.0, 84.0], [71.0, 84.0]], ('THANKS FOR', 0.8926394581794739)], [[[94.0, 81.0], [124.0, 81.0], [124.0, 88.0], [94.0, 88.0]], ('-ELEVEN', 0.9538418054580688)], [[[105.0, 74.0], [140.0, 74.0], [140.0, 81.0], [105.0, 81.0]], ('SNISOHS', 0.6333486437797546)], [[[33.0, 94.0], [104.0, 94.0], [104.0, 104.0], [33.0, 104.0]], ('1EciostG18ct', 0.5825753211975098)], [[[153.0, 96.0], [176.0, 99.0], [175.0, 110.0], [152.0, 107.0]], ('10.00', 0.9711028933525085)], [[[156.0, 92.0], [176.0, 92.0], [176.0, 103.0], [156.0, 103.0]], ('1.36', 0.6640014052391052)], [[[156.0, 112.0], [179.0, 112.0], [179.0, 123.0], [156.0, 123.0]], ('11.39', 0.9785962104797363)], [[[154.0, 127.0], [181.0, 127.0], [181.0, 138.0], [154.0, 138.0]], ('11.50', 0.9035080075263977)], [[[157.0, 119.0], [179.0, 119.0], [179.0, 131.0], [157.0, 131.0]], ('0.11', 0.9599263072013855)], [[[34.0, 129.0], [68.0, 129.0], [68.0, 139.0], [34.0, 139.0]], ('TOTAL DUE', 0.7653322815895081)], [[[34.0, 137.0], [66.0, 137.0], [66.0, 146.0], [34.0, 146.0]], ('CASH', 0.9968043565750122)], [[[142.0, 136.0], [182.0, 134.0], [183.0, 144.0], [143.0, 147.0]], ('11.50', 0.9964310526847839)], [[[47.0, 157.0], [165.0, 156.0], [165.0, 167.0], [47.0, 168.0]], ('TRY OUR DELI CENTRAL SANDWICHS', 0.7584739923477173)], [[[62.0, 165.0], [146.0, 164.0], [147.0, 175.0], [63.0, 176.0]], ('AD CELICIUS ENTRES', 0.7196250557899475)], [[[35.0, 181.0], [173.0, 181.0], [173.0, 190.0], [35.0, 190.0]], ('101018 1N768409/10/201609:29AM', 0.9096081852912903)], [[[73.0, 174.0], [141.0, 174.0], [141.0, 181.0], [73.0, 181.0]], ('REPRINT.', 0.9136096835136414)]]	{"store_name": "7-ELEVEN", "store_addr": "", "telephone": "", "date": "09/10/2015", "time": "09:29AM", "subtotal": "11.39", "tax": "0.11", "total": "11.50 11.50", "ignore": " \\ ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[138.0, 122.0], [218.0, 126.0], [218.0, 139.0], [137.0, 135.0]], ('Pendo Chinese Bestauren', 0.763525664806366)], [[[99.0, 152.0], [181.0, 152.0], [181.0, 166.0], [99.0, 166.0]], ('*REPRINT*', 0.9784809947013855)], [[[116.0, 163.0], [183.0, 165.0], [182.0, 182.0], [115.0, 180.0]], ('Dubai Ma11', 0.8972420692443848)], [[[116.0, 176.0], [180.0, 178.0], [179.0, 192.0], [116.0, 190.0]], ('Food Court', 0.9433953166007996)], [[[89.0, 186.0], [212.0, 188.0], [212.0, 205.0], [89.0, 203.0]], ('Phone NO:04-3399321', 0.9495111703872681)], [[[36.0, 224.0], [65.0, 224.0], [65.0, 238.0], [36.0, 238.0]], ('BILL', 0.9948965907096863)], [[[66.0, 226.0], [85.0, 226.0], [85.0, 238.0], [66.0, 238.0]], ('NO', 0.9899029731750488)], [[[110.0, 225.0], [168.0, 225.0], [168.0, 239.0], [110.0, 239.0]], ('M0364353', 0.9836461544036865)], [[[190.0, 225.0], [245.0, 225.0], [245.0, 242.0], [190.0, 242.0]], ('TABLE:0', 0.905762791633606)], [[[35.0, 236.0], [101.0, 236.0], [101.0, 253.0], [35.0, 253.0]], ('BILL DATE', 0.9509190320968628)], [[[109.0, 238.0], [182.0, 238.0], [182.0, 252.0], [109.0, 252.0]], ('16/02/2017', 0.9962016344070435)], [[[190.0, 239.0], [243.0, 239.0], [243.0, 253.0], [190.0, 253.0]], ('COVERS:1', 0.9359815716743469)], [[[36.0, 250.0], [100.0, 250.0], [100.0, 264.0], [36.0, 264.0]], ('BILL TIME', 0.9529284238815308)], [[[109.0, 250.0], [151.0, 250.0], [151.0, 264.0], [109.0, 264.0]], ('14:03', 0.9182127118110657)], [[[190.0, 250.0], [245.0, 250.0], [245.0, 267.0], [190.0, 267.0]], ('SHIFT:1', 0.9179866909980774)], [[[36.0, 263.0], [85.0, 263.0], [85.0, 277.0], [36.0, 277.0]], ('CASHIER', 0.9976813197135925)], [[[109.0, 263.0], [174.0, 263.0], [174.0, 277.0], [109.0, 277.0]], ('CASHIER1', 0.9907974600791931)], [[[34.0, 288.0], [57.0, 288.0], [57.0, 303.0], [34.0, 303.0]], ('QTY', 0.9616907238960266)], [[[65.0, 287.0], [142.0, 285.0], [142.0, 302.0], [66.0, 305.0]], ('DESCRIPTION', 0.9958953261375427)], [[[216.0, 288.0], [256.0, 288.0], [256.0, 303.0], [216.0, 303.0]], ('AMOUNT', 0.996629536151886)], [[[65.0, 325.0], [148.0, 322.0], [148.0, 340.0], [66.0, 343.0]], ('SHAO_BAO 3', 0.8450563549995422)], [[[223.0, 324.0], [258.0, 324.0], [258.0, 343.0], [223.0, 343.0]], ('15.00', 0.9946722984313965)], [[[64.0, 339.0], [159.0, 336.0], [160.0, 353.0], [65.0, 356.0]], ('GARLIC NOODLES', 0.9565003514289856)], [[[224.0, 336.0], [258.0, 339.0], [256.0, 357.0], [222.0, 354.0]], ('18.00', 0.996804416179657)], [[[64.0, 364.0], [127.0, 364.0], [127.0, 382.0], [64.0, 382.0]], ('Sub Total', 0.8947128653526306)], [[[217.0, 361.0], [262.0, 361.0], [262.0, 398.0], [217.0, 398.0]], ('33.80', 0.7664141058921814)], [[[65.0, 380.0], [93.0, 380.0], [93.0, 395.0], [65.0, 395.0]], ('CASH', 0.9980453252792358)], [[[58.0, 406.0], [206.0, 401.0], [207.0, 417.0], [59.0, 422.0]], ('THANK YOU -COME AGAIN', 0.9318070411682129)], [[[48.0, 420.0], [222.0, 412.0], [223.0, 430.0], [49.0, 438.0]], ('WW.CHINESEPALACEGROUP.COM', 0.9481696486473083)]]	{"store_name": "", "store_addr": "DubaiMall", "telephone": "04-3399321", "date": ":16/02/2017", "time": ":14:03", "subtotal": "33.00", "tax": "", "total": "33.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SHAOBAO(3)", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GARLICNOODLES", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "DESCRIPTION", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[82.0, 184.0], [148.0, 186.0], [148.0, 208.0], [81.0, 206.0]], ('TICKET307661', 0.9251222610473633)], [[[57.0, 198.0], [102.0, 203.0], [101.0, 215.0], [56.0, 209.0]], ('8/23/2016', 0.9503097534179688)], [[[126.0, 202.0], [174.0, 199.0], [175.0, 212.0], [127.0, 215.0]], ('3:40:32PH', 0.8750401735305786)], [[[111.0, 214.0], [124.0, 214.0], [124.0, 227.0], [111.0, 227.0]], ('IN', 0.9948954582214355)], [[[39.0, 227.0], [132.0, 234.0], [131.0, 248.0], [38.0, 241.0]], ('1 SW Chicken Salad PM', 0.8412459492683411)], [[[175.0, 230.0], [199.0, 230.0], [199.0, 245.0], [175.0, 245.0]], ('7.89', 0.9939550757408142)], [[[37.0, 249.0], [133.0, 255.0], [132.0, 269.0], [36.0, 263.0]], ('1 Leon Orzo ChknH', 0.8403646349906921)], [[[52.0, 241.0], [101.0, 244.0], [100.0, 255.0], [51.0, 252.0]], ('1No Bread', 0.9069791436195374)], [[[47.0, 261.0], [105.0, 264.0], [104.0, 279.0], [46.0, 275.0]], ('1 No Bread', 0.8832684755325317)], [[[177.0, 253.0], [199.0, 253.0], [199.0, 265.0], [177.0, 265.0]], ('4.09', 0.9928959608078003)], [[[34.0, 272.0], [136.0, 276.0], [135.0, 290.0], [33.0, 286.0]], ('1 Egg White Ched &Avo', 0.8431238532066345)], [[[176.0, 274.0], [201.0, 274.0], [201.0, 289.0], [176.0, 289.0]], ('5.29', 0.978563129901886)], [[[48.0, 284.0], [139.0, 286.0], [139.0, 300.0], [47.0, 298.0]], ('1 Skinny Wheat Bagel', 0.8135814666748047)], [[[33.0, 295.0], [107.0, 299.0], [106.0, 312.0], [32.0, 308.0]], ('1 M Caffe Mocha', 0.8871103525161743)], [[[177.0, 297.0], [202.0, 297.0], [202.0, 312.0], [177.0, 312.0]], ('2.49', 0.9919008612632751)], [[[35.0, 307.0], [96.0, 310.0], [96.0, 323.0], [34.0, 320.0]], ('Select 2 M\\L', 0.8522422909736633)], [[[176.0, 310.0], [202.0, 310.0], [202.0, 322.0], [176.0, 322.0]], ('0.50', 0.9830965995788574)], [[[87.0, 332.0], [128.0, 332.0], [128.0, 347.0], [87.0, 347.0]], ('SubTotal', 0.9770787954330444)], [[[177.0, 331.0], [204.0, 334.0], [203.0, 349.0], [175.0, 346.0]], ('19.26', 0.9889954328536987)], [[[85.0, 342.0], [115.0, 345.0], [114.0, 359.0], [84.0, 356.0]], ('State', 0.9951744079589844)], [[[180.0, 347.0], [204.0, 347.0], [204.0, 359.0], [180.0, 359.0]], ('1.20', 0.9912494421005249)], [[[86.0, 357.0], [114.0, 357.0], [114.0, 370.0], [86.0, 370.0]], ('Local', 0.927015483379364)], [[[84.0, 367.0], [113.0, 367.0], [113.0, 393.0], [84.0, 393.0]], ('Total', 0.9451420903205872)], [[[180.0, 360.0], [205.0, 360.0], [205.0, 372.0], [180.0, 372.0]], ('0.14', 0.9907633066177368)], [[[175.0, 370.0], [207.0, 370.0], [207.0, 395.0], [175.0, 395.0]], ('20.60', 0.9886726140975952)], [[[85.0, 402.0], [110.0, 402.0], [110.0, 417.0], [85.0, 417.0]], ('Visa', 0.9323936104774475)], [[[177.0, 403.0], [207.0, 403.0], [207.0, 418.0], [177.0, 418.0]], ('20.60', 0.9882360696792603)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "8/23/2016", "time": "3:40:32PM", "subtotal": "19.26", "tax": "0.14 1.20", "total": "20.60", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MCaffeMocha", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "1SkinnyWheatBagel", "item_value": "5.29", "item_quantity": "1"}, {"item_key": "", "item_name": "EggWhiteChed&Avo", "item_value": "4.09", "item_quantity": "1"}, {"item_key": "", "item_name": "1NoBread", "item_value": "7.89", "item_quantity": "1"}, {"item_key": "", "item_name": "LemonOrzoChkn(M)", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1NoBread", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SWChickenSaladFM", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[19.0, 63.0], [86.0, 63.0], [86.0, 77.0], [19.0, 77.0]], ('Applewoods', 0.9835330843925476)], [[[16.0, 73.0], [221.0, 73.0], [221.0, 93.0], [16.0, 93.0]], ('OO10TABLE 12 #Party4', 0.8764079809188843)], [[[16.0, 93.0], [75.0, 90.0], [76.0, 105.0], [16.0, 108.0]], ('MEGHAN O', 0.9157932996749878)], [[[96.0, 89.0], [260.0, 91.0], [260.0, 109.0], [95.0, 106.0]], ('SvrCk2 12:0503/11/17', 0.952681839466095)], [[[15.0, 122.0], [113.0, 119.0], [113.0, 136.0], [15.0, 139.0]], ('1 MOJO CHICKEN', 0.9426271319389343)], [[[253.0, 124.0], [288.0, 124.0], [288.0, 139.0], [253.0, 139.0]], ('16.00', 0.9969865679740906)], [[[14.0, 135.0], [107.0, 138.0], [107.0, 155.0], [14.0, 153.0]], ('1 SIDE CAESAR', 0.9380854964256287)], [[[258.0, 139.0], [289.0, 139.0], [289.0, 155.0], [258.0, 155.0]], ('4.99', 0.9968708157539368)], [[[16.0, 155.0], [92.0, 155.0], [92.0, 169.0], [16.0, 169.0]], ('1JAMBALAYA', 0.9893390536308289)], [[[253.0, 156.0], [289.0, 156.0], [289.0, 171.0], [253.0, 171.0]], ('16.00', 0.9964001774787903)], [[[12.0, 169.0], [120.0, 171.0], [120.0, 187.0], [12.0, 185.0]], ('280Z STRIPLOIN', 0.9574114680290222)], [[[252.0, 173.0], [289.0, 173.0], [289.0, 188.0], [252.0, 188.0]], ('39.90', 0.9979406595230103)], [[[11.0, 185.0], [88.0, 187.0], [87.0, 204.0], [11.0, 202.0]], ('2 ADD MUSH', 0.9321020245552063)], [[[258.0, 189.0], [289.0, 189.0], [289.0, 204.0], [258.0, 204.0]], ('1.98', 0.9968202114105225)], [[[13.0, 202.0], [114.0, 204.0], [114.0, 221.0], [13.0, 219.0]], ('1 FOUNTAIN POP', 0.9375002980232239)], [[[258.0, 205.0], [289.0, 205.0], [289.0, 221.0], [258.0, 221.0]], ('2.29', 0.9960286617279053)], [[[151.0, 238.0], [221.0, 238.0], [221.0, 252.0], [151.0, 252.0]], ('Sub Total', 0.9546821117401123)], [[[252.0, 238.0], [289.0, 238.0], [289.0, 253.0], [252.0, 253.0]], ('81.16', 0.9962667226791382)], [[[143.0, 254.0], [170.0, 254.0], [170.0, 270.0], [143.0, 270.0]], ('HST', 0.9947202801704407)], [[[251.0, 252.0], [291.0, 255.0], [289.0, 273.0], [250.0, 270.0]], ('12.17', 0.9909272193908691)], [[[15.0, 270.0], [176.0, 270.0], [176.0, 287.0], [15.0, 287.0]], ('03/1112:48TOTAL', 0.9416187405586243)], [[[220.0, 270.0], [289.0, 270.0], [289.0, 287.0], [220.0, 287.0]], ('93.33', 0.9986335635185242)], [[[13.0, 302.0], [140.0, 303.0], [140.0, 320.0], [13.0, 319.0]], ('5494 Prospect Road', 0.9659019112586975)], [[[16.0, 322.0], [165.0, 322.0], [165.0, 336.0], [16.0, 336.0]], ('New MinasNova Scotia', 0.9605703353881836)], [[[15.0, 340.0], [99.0, 340.0], [99.0, 354.0], [15.0, 354.0]], ('902.681-3692', 0.9923827052116394)], [[[13.0, 372.0], [44.0, 372.0], [44.0, 387.0], [13.0, 387.0]], ('HST#', 0.9890584945678711)], [[[13.0, 388.0], [256.0, 388.0], [256.0, 405.0], [13.0, 405.0]], ('Join us for brunch Sat.& Sun.11-3', 0.9516069293022156)], [[[13.0, 406.0], [160.0, 404.0], [160.0, 420.0], [13.0, 422.0]], ('THANKS! SEE YOU SOON!', 0.9157754778862)]]	{"store_name": "Applewoods", "store_addr": "5494ProspectRoad NewMinas,NovaScotia", "telephone": "902.681-3692", "date": "03/11/17 03/11", "time": "12:48", "subtotal": "81.16", "tax": ":12.17", "total": "93.33", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MOJOCHICKEN", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SIDECAESAR", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "JAMBALAYA", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "8OZSTRIPLOIN", "item_value": "39.90", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDMUSH", "item_value": "1.98", "item_quantity": "1"}, {"item_key": "", "item_name": "FOUNTAINPOP", "item_value": "2.29", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[185.0, 536.0], [1028.0, 574.0], [1025.0, 650.0], [182.0, 611.0]], ('DOllaR TRee STOres,INC.', 0.6955340504646301)], [[[76.0, 682.0], [339.0, 688.0], [338.0, 735.0], [75.0, 729.0]], ('Store# 4096', 0.9389841556549072)], [[[783.0, 701.0], [1108.0, 707.0], [1108.0, 757.0], [782.0, 751.0]], ('503861-2210', 0.9947099685668945)], [[[76.0, 732.0], [493.0, 744.0], [491.0, 791.0], [75.0, 779.0]], ('1609 SE Ensign Ln.', 0.9227225184440613)], [[[73.0, 782.0], [498.0, 791.0], [497.0, 838.0], [72.0, 829.0]], ('Warrenton 0R 97146', 0.9402191638946533)], [[[71.0, 876.0], [337.0, 883.0], [336.0, 930.0], [70.0, 924.0]], ('DESCRIPTION', 0.997898519039154)], [[[584.0, 888.0], [667.0, 888.0], [667.0, 941.0], [584.0, 941.0]], ('QTY', 0.9925124645233154)], [[[724.0, 893.0], [850.0, 893.0], [850.0, 944.0], [724.0, 944.0]], ('PRICE', 0.9987211227416992)], [[[981.0, 890.0], [1104.0, 897.0], [1101.0, 950.0], [978.0, 943.0]], ('TOTAL', 0.9976677894592285)], [[[70.0, 974.0], [423.0, 980.0], [422.0, 1027.0], [70.0, 1021.0]], ('VANILLA EXTRACT', 0.9764044880867004)], [[[624.0, 988.0], [659.0, 988.0], [659.0, 1035.0], [624.0, 1035.0]], ('1', 0.9962039589881897)], [[[745.0, 988.0], [847.0, 988.0], [847.0, 1038.0], [745.0, 1038.0]], ('1.00', 0.9975041151046753)], [[[982.0, 991.0], [1108.0, 991.0], [1108.0, 1041.0], [982.0, 1041.0]], ('1.00N', 0.8984174728393555)], [[[70.0, 1024.0], [377.0, 1030.0], [376.0, 1075.0], [70.0, 1069.0]], ('WHITENING KIT', 0.9726349711418152)], [[[621.0, 1038.0], [659.0, 1038.0], [659.0, 1083.0], [621.0, 1083.0]], ('1', 0.997427761554718)], [[[745.0, 1035.0], [850.0, 1035.0], [850.0, 1086.0], [745.0, 1086.0]], ('1.00', 0.9948198795318604)], [[[978.0, 1035.0], [1109.0, 1042.0], [1106.0, 1092.0], [976.0, 1085.0]], ('1.00N', 0.8843420147895813)], [[[71.0, 1071.0], [401.0, 1080.0], [400.0, 1128.0], [70.0, 1119.0]], ('CRUNCH & MUNCH', 0.9453349709510803)], [[[627.0, 1086.0], [659.0, 1086.0], [659.0, 1130.0], [627.0, 1130.0]], ('1', 0.9981070756912231)], [[[745.0, 1088.0], [845.0, 1088.0], [845.0, 1130.0], [745.0, 1130.0]], ('1.00', 0.9972964525222778)], [[[982.0, 1094.0], [1105.0, 1094.0], [1105.0, 1136.0], [982.0, 1136.0]], ('1.00N', 0.8709999918937683)], [[[71.0, 1118.0], [396.0, 1128.0], [395.0, 1175.0], [70.0, 1166.0]], ('SLEEP AID 8 CT', 0.9237445592880249)], [[[624.0, 1133.0], [656.0, 1133.0], [656.0, 1180.0], [624.0, 1180.0]], ('1', 0.9977988600730896)], [[[740.0, 1133.0], [845.0, 1133.0], [845.0, 1183.0], [740.0, 1183.0]], ('1.00', 0.9971845746040344)], [[[975.0, 1132.0], [1109.0, 1139.0], [1106.0, 1189.0], [973.0, 1182.0]], ('1.00N', 0.902755856513977)], [[[71.0, 1169.0], [283.0, 1175.0], [282.0, 1217.0], [70.0, 1210.0]], ('BATTERIES', 0.9976229071617126)], [[[621.0, 1183.0], [654.0, 1183.0], [654.0, 1225.0], [621.0, 1225.0]], ('1', 0.9972831010818481)], [[[742.0, 1183.0], [839.0, 1183.0], [839.0, 1225.0], [742.0, 1225.0]], ('1.00', 0.9974308609962463)], [[[979.0, 1188.0], [1105.0, 1188.0], [1105.0, 1230.0], [979.0, 1230.0]], ('1.0ON', 0.8731561899185181)], [[[65.0, 1213.0], [326.0, 1219.0], [325.0, 1267.0], [64.0, 1261.0]], ('MERCHANDISE', 0.9970578551292419)], [[[624.0, 1230.0], [648.0, 1230.0], [648.0, 1266.0], [624.0, 1266.0]], ('1', 0.7932272553443909)], [[[740.0, 1227.0], [839.0, 1227.0], [839.0, 1269.0], [740.0, 1269.0]], ('1.00', 0.9964194297790527)], [[[975.0, 1224.0], [1106.0, 1231.0], [1104.0, 1281.0], [973.0, 1274.0]], ('1.00N', 0.9338356256484985)], [[[62.0, 1261.0], [484.0, 1269.0], [484.0, 1317.0], [62.0, 1308.0]], ('STEEL WOOL SOAP PD', 0.9280523657798767)], [[[621.0, 1275.0], [648.0, 1275.0], [648.0, 1317.0], [621.0, 1317.0]], ('1', 0.8454918265342712)], [[[740.0, 1275.0], [839.0, 1275.0], [839.0, 1317.0], [740.0, 1317.0]], ('1.00', 0.997672975063324)], [[[973.0, 1271.0], [1106.0, 1278.0], [1104.0, 1328.0], [970.0, 1321.0]], ('1.00N', 0.9480602145195007)], [[[62.0, 1311.0], [207.0, 1311.0], [207.0, 1358.0], [62.0, 1358.0]], ('SPONGE', 0.9978777766227722)], [[[616.0, 1322.0], [648.0, 1322.0], [648.0, 1364.0], [616.0, 1364.0]], ('1', 0.9979181885719299)], [[[734.0, 1319.0], [839.0, 1319.0], [839.0, 1369.0], [734.0, 1369.0]], ('1.00', 0.9970096349716187)], [[[973.0, 1319.0], [1104.0, 1326.0], [1101.0, 1376.0], [970.0, 1369.0]], ('1.00N', 0.9672094583511353)], [[[60.0, 1355.0], [342.0, 1364.0], [341.0, 1412.0], [59.0, 1402.0]], ('SCRUB SPONGE', 0.9683551788330078)], [[[619.0, 1372.0], [646.0, 1372.0], [646.0, 1414.0], [619.0, 1414.0]], ('1', 0.7947514057159424)], [[[732.0, 1369.0], [839.0, 1369.0], [839.0, 1420.0], [732.0, 1420.0]], ('1.00', 0.9936195611953735)], [[[974.0, 1375.0], [1105.0, 1375.0], [1105.0, 1425.0], [974.0, 1425.0]], ('1.00N', 0.8583423495292664)], [[[60.0, 1402.0], [361.0, 1409.0], [360.0, 1459.0], [59.0, 1453.0]], ('DRAIN STOPPER', 0.9810028672218323)], [[[619.0, 1422.0], [640.0, 1422.0], [640.0, 1458.0], [619.0, 1458.0]], ('1', 0.8949452042579651)], [[[734.0, 1422.0], [837.0, 1422.0], [837.0, 1464.0], [734.0, 1464.0]], ('1.00', 0.9940826296806335)], [[[976.0, 1428.0], [1100.0, 1428.0], [1100.0, 1470.0], [976.0, 1470.0]], ('1.0ON', 0.8585699200630188)], [[[57.0, 1452.0], [248.0, 1459.0], [246.0, 1506.0], [56.0, 1500.0]], ('FIG BARS', 0.9610306024551392)], [[[616.0, 1470.0], [637.0, 1470.0], [637.0, 1506.0], [616.0, 1506.0]], ('1', 0.7174786925315857)], [[[729.0, 1467.0], [834.0, 1467.0], [834.0, 1517.0], [729.0, 1517.0]], ('1.00', 0.9980490207672119)], [[[971.0, 1472.0], [1103.0, 1472.0], [1103.0, 1522.0], [971.0, 1522.0]], ('1.00N', 0.9105178117752075)], [[[57.0, 1503.0], [474.0, 1509.0], [473.0, 1556.0], [56.0, 1550.0]], ('COFFEE FILTERS 160', 0.9546195268630981)], [[[613.0, 1520.0], [637.0, 1520.0], [637.0, 1556.0], [613.0, 1556.0]], ('1', 0.8095920085906982)], [[[729.0, 1517.0], [834.0, 1517.0], [834.0, 1567.0], [729.0, 1567.0]], ('1.00', 0.9981884360313416)], [[[971.0, 1522.0], [1100.0, 1522.0], [1100.0, 1573.0], [971.0, 1573.0]], ('1.00N', 0.9071016311645508)], [[[57.0, 1550.0], [428.0, 1559.0], [427.0, 1604.0], [56.0, 1595.0]], ('ZIP PRODUCE BAGS', 0.9416701197624207)], [[[613.0, 1567.0], [640.0, 1567.0], [640.0, 1609.0], [613.0, 1609.0]], ('1', 0.863558292388916)], [[[729.0, 1567.0], [834.0, 1567.0], [834.0, 1617.0], [729.0, 1617.0]], ('1.00', 0.9973747730255127)], [[[970.0, 1566.0], [1101.0, 1573.0], [1098.0, 1623.0], [967.0, 1616.0]], ('1.00N', 0.8907755613327026)], [[[55.0, 1597.0], [425.0, 1609.0], [424.0, 1657.0], [53.0, 1644.0]], ('MOTHERS DAY CARD', 0.9437394738197327)], [[[608.0, 1614.0], [640.0, 1614.0], [640.0, 1662.0], [608.0, 1662.0]], ('1', 0.834175705909729)], [[[726.0, 1614.0], [834.0, 1614.0], [834.0, 1664.0], [726.0, 1664.0]], ('0.50', 0.9961603283882141)], [[[967.0, 1616.0], [1098.0, 1623.0], [1096.0, 1674.0], [965.0, 1666.0]], ('0.50N', 0.9479042291641235)], [[[58.0, 1644.0], [291.0, 1654.0], [289.0, 1701.0], [56.0, 1692.0]], ('BREAD BAGS', 0.9640762209892273)], [[[608.0, 1662.0], [640.0, 1662.0], [640.0, 1709.0], [608.0, 1709.0]], ('1', 0.9971179962158203)], [[[726.0, 1664.0], [834.0, 1664.0], [834.0, 1715.0], [726.0, 1715.0]], ('1.00', 0.9978242516517639)], [[[968.0, 1670.0], [1097.0, 1670.0], [1097.0, 1720.0], [968.0, 1720.0]], ('1.00N', 0.8774107694625854)], [[[55.0, 1692.0], [334.0, 1701.0], [333.0, 1748.0], [53.0, 1739.0]], ('FRENCH FRIES', 0.9750809073448181)], [[[608.0, 1706.0], [640.0, 1706.0], [640.0, 1754.0], [608.0, 1754.0]], ('1', 0.7952947020530701)], [[[726.0, 1712.0], [834.0, 1712.0], [834.0, 1762.0], [726.0, 1762.0]], ('1.00', 0.997209906578064)], [[[968.0, 1720.0], [1097.0, 1720.0], [1097.0, 1770.0], [968.0, 1770.0]], ('1.00N', 0.8983315229415894)], [[[265.0, 1789.0], [471.0, 1796.0], [470.0, 1843.0], [263.0, 1837.0]], ('Sub Total', 0.9633861184120178)], [[[799.0, 1806.0], [952.0, 1806.0], [952.0, 1854.0], [799.0, 1854.0]], ('$15.50', 0.9334330558776855)], [[[264.0, 1834.0], [479.0, 1840.0], [478.0, 1888.0], [263.0, 1881.0]], ('SALES TAX', 0.9588773250579834)], [[[819.0, 1845.0], [950.0, 1852.0], [948.0, 1902.0], [817.0, 1895.0]], ('$0.00', 0.9965167045593262)], [[[266.0, 1884.0], [385.0, 1884.0], [385.0, 1934.0], [266.0, 1934.0]], ('Total', 0.9977703094482422)], [[[798.0, 1895.0], [950.0, 1902.0], [948.0, 1952.0], [795.0, 1945.0]], ('$15.50', 0.9954884052276611)], [[[264.0, 1932.0], [368.0, 1932.0], [368.0, 1982.0], [264.0, 1982.0]], ('Cash', 0.9965040683746338)], [[[795.0, 1942.0], [950.0, 1949.0], [948.0, 2002.0], [793.0, 1995.0]], ('$20.50', 0.9935420155525208)], [[[258.0, 2026.0], [565.0, 2026.0], [565.0, 2082.0], [258.0, 2082.0]], ('CHANGE====>', 0.9081798791885376)], [[[792.0, 2040.0], [945.0, 2046.0], [943.0, 2102.0], [790.0, 2095.0]], ('$-5.00', 0.9857882857322693)], [[[77.0, 2162.0], [939.0, 2202.0], [937.0, 2252.0], [75.0, 2212.0]], ('Thank You for Shopping at Dol lar Tree', 0.9273632168769836)], [[[227.0, 2220.0], [800.0, 2247.0], [797.0, 2297.0], [225.0, 2271.0]], ("Where Everything's $1.00", 0.9655706286430359)], [[[117.0, 2265.0], [918.0, 2305.0], [916.0, 2353.0], [115.0, 2312.0]], ('Now Shop On-Line at Dol lartree.com', 0.9228315353393555)], [[[45.0, 2404.0], [649.0, 2436.0], [647.0, 2484.0], [42.0, 2451.0]], ('006207 4096 030003256483', 0.9562410712242126)], [[[739.0, 2440.0], [1055.0, 2459.0], [1053.0, 2509.0], [736.0, 2490.0]], ('5/07/11 18:08', 0.9548003673553467)], [[[42.0, 2457.0], [603.0, 2486.0], [601.0, 2534.0], [40.0, 2504.0]], ('Sales Associate:Jeremiah', 0.9703283309936523)]]	{"store_name": "DOLLARTREESTORES,INC.", "store_addr": "1609SEEnsignLn. WarrentonOR97146", "telephone": "(503)861-2210", "date": "5/07/11", "time": "18:08", "subtotal": "$15.50", "tax": "$0.00", "total": "$15.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "VANILLAEXTRACT", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WHITENINGKIT", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CRUNCH&MUNCH", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SLEEPAID8CT", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BATTERIES", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MERCHANDISE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "STEELWOOLSOAPPD", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SPONGE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SCRUBSPONGE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DRAINSTOPPER", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FIGBARS", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COFFEEFILTERS160", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ZIPPRODUCEBAGS", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MOTHERSDAYCARD", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BREADBAGS", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FRENCHFRIES", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "DESCRIPTION", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[0.0, 75.0], [319.0, 2.0], [335.0, 69.0], [5.0, 142.0]], ('Ja Louedsa', 0.6277374029159546)], [[[0.0, 200.0], [250.0, 145.0], [268.0, 225.0], [9.0, 280.0]], ('ANK YOU', 0.9398126006126404)], [[[56.0, 562.0], [1015.0, 256.0], [1079.0, 450.0], [121.0, 755.0]], ('Walmart', 0.9816664457321167)], [[[583.0, 783.0], [1037.0, 649.0], [1059.0, 719.0], [604.0, 853.0]], ('727861-0040', 0.9195928573608398)], [[[457.0, 887.0], [1181.0, 664.0], [1206.0, 741.0], [482.0, 965.0]], ('Manager JAMEs SCHRODER', 0.8266658186912537)], [[[1318.0, 883.0], [1525.0, 811.0], [1549.0, 879.0], [1342.0, 951.0]], ('3.77X', 0.7816560864448547)], [[[513.0, 935.0], [1138.0, 742.0], [1162.0, 818.0], [538.0, 1012.0]], ('12610 US HIGHWA19', 0.8690966367721558)], [[[1331.0, 937.0], [1545.0, 859.0], [1577.0, 942.0], [1363.0, 1020.0]], ('2.17X', 0.872438907623291)], [[[602.0, 982.0], [1090.0, 829.0], [1113.0, 896.0], [624.0, 1050.0]], ('HUDSON FL34667', 0.9186810851097107)], [[[1358.0, 996.0], [1511.0, 947.0], [1539.0, 1029.0], [1386.0, 1079.0]], ('5.94', 0.8776772618293762)], [[[1388.0, 1050.0], [1535.0, 1002.0], [1561.0, 1078.0], [1414.0, 1126.0]], ('0.4', 0.9222819209098816)], [[[707.0, 1078.0], [1104.0, 954.0], [1126.0, 1021.0], [729.0, 1146.0]], ('002006677970', 0.9502896666526794)], [[[1411.0, 1107.0], [1559.0, 1059.0], [1585.0, 1136.0], [1437.0, 1184.0]], ('6.36', 0.8193805813789368)], [[[725.0, 1136.0], [1111.0, 1013.0], [1137.0, 1090.0], [751.0, 1213.0]], ('00753530790', 0.9919211864471436)], [[[911.0, 1141.0], [1186.0, 1073.0], [1204.0, 1144.0], [929.0, 1212.0]], ('SUBTOTM.', 0.8521312475204468)], [[[1431.0, 1167.0], [1585.0, 1113.0], [1616.0, 1194.0], [1462.0, 1249.0]], ('6.36', 0.9577878713607788)], [[[278.0, 1222.0], [645.0, 1104.0], [668.0, 1171.0], [301.0, 1290.0]], ('SPRAY PAINT', 0.965506911277771)], [[[899.0, 1214.0], [1154.0, 1146.0], [1174.0, 1217.0], [919.0, 1285.0]], ('7.000', 0.9918888211250305)], [[[1461.0, 1227.0], [1612.0, 1188.0], [1632.0, 1262.0], [1481.0, 1302.0]], ('0.', 0.9742205739021301)], [[[1054.0, 1237.0], [1231.0, 1187.0], [1253.0, 1259.0], [1076.0, 1309.0]], ('TOTM', 0.9128388166427612)], [[[301.0, 1281.0], [608.0, 1183.0], [632.0, 1257.0], [325.0, 1354.0]], ('AUTO TAPE', 0.940170407295227)], [[[1102.0, 1288.0], [1256.0, 1241.0], [1279.0, 1312.0], [1125.0, 1360.0]], ('TEND', 0.8253732323646545)], [[[639.0, 1301.0], [823.0, 1252.0], [844.0, 1326.0], [660.0, 1375.0]], ('TAK 1', 0.881615161895752)], [[[877.0, 1357.0], [1139.0, 1280.0], [1163.0, 1359.0], [901.0, 1436.0]], ('DEBIT', 0.9571831822395325)], [[[931.0, 1420.0], [1276.0, 1297.0], [1305.0, 1374.0], [959.0, 1496.0]], ('CHANGE DUE', 0.9214769601821899)], [[[1005.0, 1602.0], [1533.0, 1423.0], [1561.0, 1502.0], [1033.0, 1681.0]], ('PAY FRON PRIMARY', 0.9169303178787231)], [[[1158.0, 1694.0], [1693.0, 1515.0], [1720.0, 1592.0], [1184.0, 1771.0]], ('890 ******', 0.7802038788795471)], [[[816.0, 1745.0], [1305.0, 1578.0], [1334.0, 1660.0], [845.0, 1826.0]], ('TOTAL PUNCHASE', 0.9219684600830078)], [[[1052.0, 1746.0], [1206.0, 1701.0], [1223.0, 1758.0], [1069.0, 1803.0]], ('', 0.6290892362594604)], [[[486.0, 1791.0], [784.0, 1692.0], [810.0, 1768.0], [512.0, 1866.0]], ('EFT DEBIT', 0.9410620927810669)], [[[637.0, 1810.0], [794.0, 1774.0], [810.0, 1845.0], [653.0, 1880.0]], ('6.36', 0.9931807518005371)], [[[536.0, 1920.0], [839.0, 1828.0], [860.0, 1895.0], [557.0, 1987.0]], ('ACCOUNT #', 0.9424100518226624)], [[[544.0, 1992.0], [1155.0, 1776.0], [1184.0, 1855.0], [573.0, 2070.0]], ('REF#131900194003', 0.9897526502609253)], [[[1332.0, 2002.0], [1605.0, 1922.0], [1627.0, 1993.0], [1354.0, 2073.0]], ('155:39', 0.9578120112419128)], [[[940.0, 2136.0], [1205.0, 2039.0], [1235.0, 2119.0], [970.0, 2216.0]], ('11/15/11', 0.9974854588508606)], [[[938.0, 2271.0], [1759.0, 2018.0], [1798.0, 2139.0], [977.0, 2391.0]], ('ITEMS SOLD2', 0.9463856220245361)], [[[870.0, 2471.0], [1819.0, 2173.0], [1848.0, 2261.0], [899.0, 2559.0]], ('TC#6979808747610142016', 0.9323139190673828)], [[[1405.0, 2674.0], [2059.0, 2509.0], [2077.0, 2577.0], [1423.0, 2742.0]], ('tWHTAPt0 63257', 0.8169174790382385)], [[[1582.0, 2702.0], [1860.0, 2638.0], [1878.0, 2710.0], [1599.0, 2773.0]], ('15:35:41', 0.8412542939186096)], [[[1275.0, 2723.0], [1442.0, 2684.0], [1458.0, 2745.0], [1290.0, 2785.0]], ('Text', 0.9949350357055664)], [[[1130.0, 2824.0], [1419.0, 2742.0], [1445.0, 2830.0], [1157.0, 2913.0]], ('11/15/11', 0.9941771626472473)], [[[883.0, 2849.0], [1282.0, 2718.0], [1312.0, 2805.0], [913.0, 2937.0]], ('nobile app..', 0.8723178505897522)]]	{"store_name": "walmart", "store_addr": "HUDSONFL34667 12610USHIGHWAY19", "telephone": "(727)861-0040", "date": "11/15/11 11/15/11", "time": "15:35:41", "subtotal": "5.94", "tax": "0.42", "total": "6.36TOTALPURCHASE 6.36 6.36", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "AUTOTAPE007535307901", "item_value": "2.17", "item_quantity": "1"}, {"item_key": "", "item_name": "SPRAYPAINT002006677970", "item_value": "3.77", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[46.0, 53.0], [213.0, 56.0], [213.0, 80.0], [46.0, 77.0]], ('BRUCES HOME CENTER', 0.9460585117340088)], [[[71.0, 80.0], [185.0, 82.0], [185.0, 105.0], [70.0, 103.0]], ('ACE HARDWARE', 0.9474741816520691)], [[[88.0, 105.0], [170.0, 105.0], [170.0, 130.0], [88.0, 130.0]], ('99-696', 0.7417206168174744)], [[[18.0, 177.0], [231.0, 181.0], [231.0, 205.0], [17.0, 201.0]], ('02-05-1999FRI#500598', 0.9794403314590454)], [[[15.0, 225.0], [118.0, 228.0], [117.0, 252.0], [14.0, 250.0]], ('50HARDWARE', 0.9825946688652039)], [[[179.0, 229.0], [232.0, 229.0], [232.0, 255.0], [179.0, 255.0]], ('1.29T', 0.9478367567062378)], [[[14.0, 249.0], [65.0, 251.0], [63.0, 278.0], [13.0, 275.0]], ('SUBTL', 0.9951274991035461)], [[[178.0, 253.0], [223.0, 253.0], [223.0, 280.0], [178.0, 280.0]], ('1.29', 0.9890213012695312)], [[[14.0, 276.0], [47.0, 276.0], [47.0, 301.0], [14.0, 301.0]], ('TAX', 0.9955083727836609)], [[[179.0, 280.0], [221.0, 280.0], [221.0, 303.0], [179.0, 303.0]], ('0.09', 0.9877016544342041)], [[[13.0, 300.0], [63.0, 300.0], [63.0, 326.0], [13.0, 326.0]], ('TOTAL', 0.9716840982437134)], [[[170.0, 304.0], [237.0, 304.0], [237.0, 329.0], [170.0, 329.0]], ('138', 0.7384200096130371)], [[[12.0, 326.0], [72.0, 326.0], [72.0, 350.0], [12.0, 350.0]], ('CATEND', 0.9906300902366638)], [[[174.0, 328.0], [221.0, 325.0], [223.0, 352.0], [175.0, 355.0]], ('1.40', 0.995974063873291)], [[[11.0, 350.0], [71.0, 350.0], [71.0, 376.0], [11.0, 376.0]], ('CHANCE', 0.932182788848877)], [[[176.0, 354.0], [220.0, 354.0], [220.0, 378.0], [176.0, 378.0]], ('0.02', 0.9760182499885559)], [[[11.0, 396.0], [54.0, 399.0], [52.0, 427.0], [9.0, 424.0]], ('ITEN', 0.9119948744773865)], [[[17.0, 425.0], [52.0, 425.0], [52.0, 451.0], [17.0, 451.0]], ('1CL', 0.7815694808959961)]]	{"store_name": "BRUCESHOMECENTER", "store_addr": "", "telephone": "969-3456", "date": "02-05-1999FRI", "time": "20:07TM", "subtotal": "1.29", "tax": "0.09", "total": "1.38", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "50HARDWARE", "item_value": "1.29T", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[61.0, 47.0], [198.0, 47.0], [198.0, 64.0], [61.0, 64.0]], ("SHONEY'S #333441", 0.9527479410171509)], [[[56.0, 77.0], [180.0, 79.0], [180.0, 97.0], [56.0, 95.0]], ('Order#', 0.9700735211372375)], [[[211.0, 76.0], [283.0, 73.0], [284.0, 92.0], [212.0, 94.0]], ('0330', 0.9977607131004333)], [[[54.0, 113.0], [179.0, 112.0], [179.0, 129.0], [54.0, 130.0]], ('TBL#033 PTY#02', 0.9180387854576111)], [[[52.0, 130.0], [178.0, 130.0], [178.0, 147.0], [52.0, 147.0]], ('NameTiffany', 0.9936346411705017)], [[[57.0, 155.0], [206.0, 152.0], [206.0, 171.0], [58.0, 175.0]], ('1 HOP FRIED CHKN', 0.9079671502113342)], [[[267.0, 149.0], [311.0, 149.0], [311.0, 170.0], [267.0, 170.0]], ('7.99', 0.9958453178405762)], [[[57.0, 175.0], [206.0, 170.0], [206.0, 186.0], [58.0, 190.0]], ('1 cook blackened', 0.9311798810958862)], [[[70.0, 191.0], [197.0, 188.0], [197.0, 205.0], [70.0, 208.0]], ('mash potatoes', 0.9730563759803772)], [[[69.0, 207.0], [197.0, 202.0], [198.0, 221.0], [70.0, 227.0]], ('bar vegetable', 0.9622780084609985)], [[[70.0, 222.0], [215.0, 219.0], [216.0, 237.0], [70.0, 240.0]], ('SHNY DBL DECKER', 0.9431743621826172)], [[[271.0, 216.0], [316.0, 216.0], [316.0, 238.0], [271.0, 238.0]], ('7.99', 0.9941316246986389)], [[[50.0, 241.0], [179.0, 238.0], [179.0, 258.0], [50.0, 261.0]], ('1 no pink 165', 0.8958896994590759)], [[[69.0, 258.0], [188.0, 255.0], [189.0, 275.0], [69.0, 278.0]], ('french fries', 0.9821193814277649)], [[[66.0, 278.0], [188.0, 273.0], [189.0, 293.0], [67.0, 297.0]], ('french fries', 0.9817799925804138)], [[[64.0, 296.0], [187.0, 293.0], [188.0, 312.0], [65.0, 316.0]], ('only lettuce', 0.958206832408905)], [[[62.0, 316.0], [177.0, 312.0], [177.0, 333.0], [63.0, 336.0]], ('only tomato', 0.9563131928443909)], [[[60.0, 336.0], [199.0, 334.0], [199.0, 354.0], [61.0, 356.0]], ('only american', 0.9548683762550354)], [[[37.0, 355.0], [105.0, 351.0], [107.0, 375.0], [39.0, 379.0]], ('1COKE', 0.976523756980896)], [[[280.0, 350.0], [328.0, 350.0], [328.0, 376.0], [280.0, 376.0]], ('1.99', 0.9946198463439941)], [[[36.0, 375.0], [165.0, 373.0], [166.0, 397.0], [37.0, 399.0]], ('1WATER ONLY', 0.9429576396942139)], [[[19.0, 410.0], [57.0, 410.0], [57.0, 437.0], [19.0, 437.0]], ('SUB', 0.9973506927490234)], [[[274.0, 409.0], [331.0, 409.0], [331.0, 435.0], [274.0, 435.0]], ('17.97', 0.9923171997070312)], [[[17.0, 432.0], [56.0, 432.0], [56.0, 460.0], [17.0, 460.0]], ('TAX', 0.9971193671226501)], [[[283.0, 433.0], [334.0, 433.0], [334.0, 459.0], [283.0, 459.0]], ('1.26', 0.9953747391700745)], [[[15.0, 471.0], [72.0, 471.0], [72.0, 498.0], [15.0, 498.0]], ('TOTAL', 0.998801589012146)], [[[224.0, 473.0], [333.0, 473.0], [333.0, 498.0], [224.0, 498.0]], ('19.23', 0.992242157459259)], [[[12.0, 510.0], [97.0, 510.0], [97.0, 532.0], [12.0, 532.0]], ('TTP.', 0.8786827325820923)]]	{"store_name": "SHONEY'S #333441", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "17.97", "tax": "1.26", "total": "19.23", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HOPFRIEDCHKN", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "cookblackened", "item_value": "7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "mashpotatoes", "item_value": "7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "barvegetable", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SHNYDBLDECKER", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "nopink165", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "frenchfries", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "frenchfries", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "onlylettuce", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "onlytomato", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "onlyamerican", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "COKE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "WATERONLY", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[381.0, 2.0], [623.0, 6.0], [623.0, 24.0], [381.0, 21.0]], ('C/SAN BERNARDO 10', 0.9316381216049194)], [[[424.0, 24.0], [592.0, 27.0], [592.0, 50.0], [423.0, 47.0]], ('28015MADRID', 0.9897952675819397)], [[[340.0, 56.0], [676.0, 53.0], [676.0, 75.0], [340.0, 78.0]], ('TELE:915233392 915217362', 0.966899573802948)], [[[397.0, 89.0], [634.0, 83.0], [635.0, 105.0], [397.0, 110.0]], ('CIF/NIF:B-81047805', 0.9632212519645691)], [[[373.0, 133.0], [773.0, 116.0], [774.0, 141.0], [374.0, 159.0]], ('12159 Fecha:05/03/11 08:10:53 PM', 0.9116510152816772)], [[[237.0, 143.0], [294.0, 143.0], [294.0, 167.0], [237.0, 167.0]], ('Fac.', 0.9975825548171997)], [[[430.0, 170.0], [454.0, 170.0], [454.0, 199.0], [430.0, 199.0]], ('3', 0.9985750913619995)], [[[239.0, 191.0], [310.0, 191.0], [310.0, 215.0], [239.0, 215.0]], ('Mesa', 0.9910691976547241)], [[[735.0, 195.0], [793.0, 192.0], [794.0, 217.0], [736.0, 220.0]], ('SUM.', 0.9849860668182373)], [[[236.0, 225.0], [303.0, 221.0], [305.0, 249.0], [238.0, 254.0]], ('CAN', 0.9964134693145752)], [[[335.0, 220.0], [575.0, 200.0], [577.0, 226.0], [337.0, 246.0]], ('PRE.CONCEPTO', 0.9837796688079834)], [[[757.0, 227.0], [805.0, 223.0], [807.0, 250.0], [759.0, 254.0]], ('2,55', 0.9910309910774231)], [[[250.0, 262.0], [278.0, 262.0], [278.0, 286.0], [250.0, 286.0]], ('1', 0.976203203201294)], [[[345.0, 258.0], [551.0, 237.0], [553.0, 259.0], [347.0, 280.0]], ('2,55SIU LUG BAU', 0.8752251863479614)], [[[763.0, 259.0], [813.0, 255.0], [816.0, 283.0], [765.0, 288.0]], ('2,85', 0.989884078502655)], [[[281.0, 298.0], [302.0, 298.0], [302.0, 319.0], [281.0, 319.0]], ('X', 0.514308512210846)], [[[346.0, 291.0], [664.0, 261.0], [666.0, 286.0], [348.0, 316.0]], ('2,85SOPA ALETA TIBURON', 0.9356860518455505)], [[[770.0, 292.0], [822.0, 287.0], [824.0, 316.0], [773.0, 320.0]], ('3,55', 0.9793481230735779)], [[[250.0, 334.0], [303.0, 331.0], [304.0, 357.0], [252.0, 359.0]], ('1x', 0.7953198552131653)], [[[348.0, 327.0], [694.0, 294.0], [696.0, 319.0], [350.0, 352.0]], ('3,55ARROZFRITO3DELICIAS', 0.9437953233718872)], [[[779.0, 325.0], [830.0, 320.0], [833.0, 350.0], [781.0, 354.0]], ('4,35', 0.9828928709030151)], [[[352.0, 366.0], [645.0, 334.0], [647.0, 357.0], [355.0, 389.0]], ('4,35CERDOAGRIDULCE', 0.948643147945404)], [[[786.0, 360.0], [840.0, 354.0], [843.0, 382.0], [789.0, 388.0]], ('4,35', 0.9704962372779846)], [[[251.0, 371.0], [306.0, 368.0], [308.0, 397.0], [253.0, 400.0]], ('1X', 0.7332059144973755)], [[[352.0, 403.0], [640.0, 370.0], [643.0, 395.0], [355.0, 429.0]], ('4,35POLLOVERDURAS', 0.9603247046470642)], [[[795.0, 395.0], [850.0, 389.0], [853.0, 418.0], [798.0, 424.0]], ('2,00', 0.9874334335327148)], [[[251.0, 411.0], [307.0, 406.0], [309.0, 435.0], [253.0, 439.0]], ('1x', 0.748097836971283)], [[[251.0, 449.0], [309.0, 446.0], [311.0, 478.0], [253.0, 482.0]], ('1x', 0.7978390455245972)], [[[354.0, 442.0], [553.0, 418.0], [556.0, 445.0], [357.0, 469.0]], ('2,0OREFRESCO', 0.9059517979621887)], [[[628.0, 481.0], [735.0, 473.0], [738.0, 512.0], [631.0, 520.0]], ('19,65', 0.9522000551223755)], [[[750.0, 475.0], [832.0, 470.0], [834.0, 501.0], [752.0, 507.0]], ('Euro', 0.9960248470306396)], [[[337.0, 516.0], [463.0, 502.0], [467.0, 544.0], [342.0, 559.0]], ('Total:', 0.990894615650177)], [[[498.0, 657.0], [700.0, 626.0], [704.0, 656.0], [503.0, 687.0]], ('IVA INCLUIDO', 0.9621264934539795)], [[[617.0, 737.0], [787.0, 708.0], [792.0, 738.0], [622.0, 767.0]], ('RSUS VISITAS', 0.9196271300315857)]]	{"store_name": "", "store_addr": "C/SANBERNARDO10 28015MADRID", "telephone": "915233392915217362", "date": "05/03/11", "time": "08:10:53PM", "subtotal": "", "tax": "", "total": "19,65", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "2.55SIULUGBAU", "item_value": "2,55", "item_quantity": "1"}, {"item_key": "", "item_name": "2,85SOPAALETATIBURON", "item_value": "2,85", "item_quantity": "1"}, {"item_key": "", "item_name": "3,55ARR0ZFRITO3DELICIAS", "item_value": "3,55", "item_quantity": "1"}, {"item_key": "", "item_name": "4,35CERDOAGRIDULCE", "item_value": "4,35", "item_quantity": "1"}, {"item_key": "", "item_name": "4,35POLLOVERDURAS", "item_value": "4,35", "item_quantity": "1"}, {"item_key": "", "item_name": "2,00REFRESCO", "item_value": "2,00", "item_quantity": "1"}, {"item_key": "CONCEPTO", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[82.0, 1.0], [117.0, 6.0], [114.0, 26.0], [79.0, 21.0]], ('CAN', 0.9976797103881836)], [[[141.0, 9.0], [181.0, 13.0], [178.0, 34.0], [139.0, 30.0]], ('MOD', 0.9958727955818176)], [[[301.0, 17.0], [363.0, 25.0], [360.0, 47.0], [298.0, 39.0]], ('PRECIO', 0.9577863216400146)], [[[415.0, 27.0], [465.0, 30.0], [464.0, 52.0], [414.0, 50.0]], ('TOTAL', 0.9979041218757629)], [[[88.0, 43.0], [175.0, 54.0], [173.0, 73.0], [86.0, 62.0]], ('3AA094', 0.9738858342170715)], [[[85.0, 60.0], [328.0, 82.0], [325.0, 107.0], [82.0, 85.0]], ('MADERA LLAVERO TAMBORIN', 0.9539958238601685)], [[[304.0, 60.0], [354.0, 65.0], [352.0, 85.0], [302.0, 80.0]], ('18.00', 0.9890735745429993)], [[[417.0, 66.0], [472.0, 71.0], [469.0, 93.0], [415.0, 88.0]], ('54.00', 0.9934171438217163)], [[[76.0, 81.0], [174.0, 93.0], [172.0, 112.0], [74.0, 99.0]], ('31DJ136', 0.9925855398178101)], [[[305.0, 97.0], [355.0, 102.0], [354.0, 120.0], [303.0, 116.0]], ('18.00', 0.9964706301689148)], [[[412.0, 104.0], [474.0, 106.0], [473.0, 126.0], [411.0, 124.0]], ('558.00', 0.9884392619132996)], [[[82.0, 123.0], [172.0, 134.0], [170.0, 155.0], [79.0, 144.0]], ('2JD006', 0.9514806866645813)], [[[80.0, 145.0], [310.0, 159.0], [309.0, 184.0], [78.0, 170.0]], ('MADERA MARACA LLAVERO', 0.9616708159446716)], [[[305.0, 139.0], [358.0, 139.0], [358.0, 157.0], [305.0, 157.0]], ('36.00', 0.9973257184028625)], [[[425.0, 140.0], [481.0, 144.0], [479.0, 166.0], [423.0, 162.0]], ('36.00', 0.9950437545776367)], [[[79.0, 167.0], [171.0, 177.0], [169.0, 199.0], [77.0, 189.0]], ('3JR088', 0.9606399536132812)], [[[309.0, 179.0], [360.0, 179.0], [360.0, 198.0], [309.0, 198.0]], ('18.00', 0.9973831176757812)], [[[430.0, 178.0], [485.0, 182.0], [483.0, 205.0], [428.0, 201.0]], ('54.00', 0.9936314821243286)], [[[76.0, 213.0], [171.0, 221.0], [169.0, 243.0], [74.0, 235.0]], ('3MI019', 0.9319785237312317)], [[[310.0, 223.0], [362.0, 219.0], [364.0, 239.0], [311.0, 243.0]], ('18.00', 0.9965373277664185)], [[[433.0, 222.0], [490.0, 222.0], [490.0, 244.0], [433.0, 244.0]], ('54.00', 0.9967119097709656)], [[[74.0, 260.0], [170.0, 268.0], [168.0, 290.0], [72.0, 282.0]], ('40G177', 0.9717070460319519)], [[[310.0, 269.0], [364.0, 266.0], [365.0, 285.0], [311.0, 288.0]], ('18.00', 0.9888095855712891)], [[[437.0, 267.0], [494.0, 267.0], [494.0, 289.0], [437.0, 289.0]], ('72.00', 0.9940967559814453)], [[[108.0, 313.0], [170.0, 318.0], [168.0, 337.0], [106.0, 332.0]], ('RC110', 0.9963231086730957)], [[[309.0, 316.0], [368.0, 313.0], [369.0, 336.0], [310.0, 339.0]], ('18.00', 0.9945828318595886)], [[[442.0, 311.0], [500.0, 308.0], [501.0, 332.0], [443.0, 335.0]], ('18.00', 0.9974835515022278)], [[[71.0, 333.0], [226.0, 343.0], [225.0, 367.0], [70.0, 357.0]], ('ARENA BOTELLA', 0.9720016717910767)], [[[69.0, 360.0], [169.0, 367.0], [167.0, 389.0], [68.0, 382.0]], ('6RC120', 0.992102861404419)], [[[313.0, 365.0], [371.0, 365.0], [371.0, 388.0], [313.0, 388.0]], ('18.00', 0.9931551218032837)], [[[434.0, 363.0], [501.0, 360.0], [502.0, 383.0], [435.0, 386.0]], ('108.00', 0.9958848357200623)], [[[67.0, 386.0], [305.0, 388.0], [305.0, 413.0], [67.0, 411.0]], ('ARENA LLAVERO CONCHA', 0.9597089886665344)], [[[65.0, 411.0], [169.0, 416.0], [167.0, 441.0], [64.0, 436.0]], ('4RC128', 0.9955047965049744)], [[[315.0, 414.0], [374.0, 414.0], [374.0, 436.0], [315.0, 436.0]], ('18.00', 0.9930483102798462)], [[[447.0, 411.0], [506.0, 408.0], [507.0, 432.0], [448.0, 435.0]], ('72.00', 0.9955114126205444)], [[[66.0, 442.0], [235.0, 442.0], [235.0, 464.0], [66.0, 464.0]], ('ARENA RECUERDO', 0.9749821424484253)], [[[62.0, 465.0], [166.0, 469.0], [166.0, 492.0], [62.0, 488.0]], ('4RL033', 0.9562990069389343)], [[[316.0, 465.0], [376.0, 461.0], [378.0, 485.0], [318.0, 489.0]], ('36.00', 0.9911239743232727)], [[[442.0, 461.0], [514.0, 457.0], [515.0, 483.0], [443.0, 487.0]], ('144.00', 0.9940915703773499)], [[[59.0, 493.0], [427.0, 486.0], [427.0, 514.0], [60.0, 521.0]], ('SUVENIR RESINA LLAVERO SOMBRER', 0.9461804628372192)], [[[319.0, 518.0], [380.0, 515.0], [381.0, 538.0], [320.0, 541.0]], ('18.00', 0.9955169558525085)], [[[457.0, 511.0], [522.0, 507.0], [524.0, 533.0], [458.0, 537.0]], ('36.00', 0.9950584173202515)], [[[57.0, 523.0], [164.0, 521.0], [164.0, 544.0], [58.0, 546.0]], ('2RL237', 0.9893332123756409)], [[[54.0, 550.0], [445.0, 540.0], [446.0, 569.0], [55.0, 578.0]], ('CRISTAL AGITADOR CON FIGURA AN.', 0.9485284686088562)], [[[311.0, 572.0], [384.0, 568.0], [385.0, 594.0], [312.0, 598.0]], ('180.00', 0.9652758240699768)], [[[454.0, 564.0], [531.0, 564.0], [531.0, 590.0], [454.0, 590.0]], ('360.00', 0.9930909276008606)], [[[54.0, 579.0], [161.0, 579.0], [161.0, 604.0], [54.0, 604.0]], ('2TP001', 0.9336581826210022)], [[[50.0, 609.0], [338.0, 600.0], [339.0, 629.0], [51.0, 638.0]], ('BOLSA MORRAL ESCOLAR 4', 0.9479612112045288)], [[[386.0, 652.0], [419.0, 652.0], [419.0, 685.0], [386.0, 685.0]], ('65', 0.9958577156066895)], [[[36.0, 670.0], [275.0, 663.0], [276.0, 692.0], [37.0, 699.0]], ('TOTAL DE ARTICULOS', 0.9638245105743408)], [[[262.0, 729.0], [383.0, 721.0], [385.0, 750.0], [263.0, 758.0]], ('Sub-Total', 0.9552189707756042)], [[[443.0, 720.0], [554.0, 714.0], [556.0, 742.0], [444.0, 748.0]], ('1,566.00', 0.9293938875198364)], [[[406.0, 758.0], [424.0, 758.0], [424.0, 782.0], [406.0, 782.0]], ('$', 0.8948280811309814)], [[[499.0, 749.0], [560.0, 746.0], [562.0, 779.0], [501.0, 782.0]], ('0.00', 0.9923258423805237)], [[[262.0, 763.0], [387.0, 758.0], [388.0, 786.0], [263.0, 791.0]], ('Descuento', 0.9965865015983582)], [[[251.0, 834.0], [424.0, 826.0], [426.0, 854.0], [252.0, 862.0]], ('TOTAL NOTA ', 0.9233865141868591)], [[[420.0, 827.0], [567.0, 818.0], [568.0, 846.0], [422.0, 855.0]], ('1.566.00', 0.9131522178649902)], [[[504.0, 891.0], [579.0, 888.0], [580.0, 923.0], [505.0, 925.0]], ('18.00', 0.9940958023071289)], [[[193.0, 908.0], [391.0, 897.0], [393.0, 930.0], [195.0, 940.0]], ('TIPO DE CAMBIO', 0.9561560750007629)], [[[438.0, 971.0], [487.0, 971.0], [487.0, 999.0], [438.0, 999.0]], ('USD', 0.9402077794075012)], [[[508.0, 967.0], [586.0, 964.0], [587.0, 996.0], [509.0, 998.0]], ('87.00', 0.9917072057723999)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$1,566.00", "tax": "18.00", "total": "$1,566.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MADERALLAVEROTAMBORIN", "item_value": "360.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SUVENIRPULSERATRESHILOS", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MADERAMARACALLAVERO", "item_value": "144.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ONIXMAGNETOACRILICO", "item_value": "72.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MADERATORTILLEROTIPICOMINI", "item_value": "180.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SUVENIRVASOTEQ1USDCZM", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ARENABOTELLA", "item_value": "72.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ARENALLAVEROCONCHA", "item_value": "54.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ARENARECUERDO", "item_value": "54.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SUVENIRRESINALLAVEROSOMBRER...", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CRISTALAGITADORCONFIGURAAN...", "item_value": "558.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BOLSAMORRALESCOLAR4", "item_value": "54.00", "item_quantity": "1"}, {"item_key": "MOD.", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[147.0, 102.0], [263.0, 108.0], [262.0, 122.0], [146.0, 116.0]], ('More saving.', 0.9429473876953125)], [[[129.0, 124.0], [146.0, 124.0], [146.0, 132.0], [129.0, 132.0]], ('R', 0.5851433873176575)], [[[144.0, 118.0], [260.0, 123.0], [259.0, 140.0], [143.0, 135.0]], ('More doing.', 0.9448959827423096)], [[[56.0, 155.0], [246.0, 155.0], [246.0, 169.0], [56.0, 169.0]], ('URBANDALEIA 503225152515819', 0.9693569540977478)], [[[103.0, 146.0], [196.0, 147.0], [196.0, 158.0], [103.0, 157.0]], ('10850PLUMDRIVE', 0.9763709306716919)], [[[32.0, 176.0], [141.0, 172.0], [141.0, 185.0], [32.0, 189.0]], ('2115 0000491142', 0.9644200205802917)], [[[160.0, 172.0], [270.0, 174.0], [270.0, 187.0], [160.0, 186.0]], ('08/14/1301:57PM', 0.9529450535774231)], [[[32.0, 186.0], [152.0, 182.0], [153.0, 195.0], [32.0, 198.0]], ('CASHIER JIM -JE8702', 0.908471941947937)], [[[30.0, 204.0], [193.0, 200.0], [193.0, 214.0], [30.0, 218.0]], ('090489124717 4X4-8#2PT <A', 0.9195596575737)], [[[238.0, 201.0], [267.0, 201.0], [267.0, 216.0], [238.0, 216.0]], ('7.57', 0.9907069206237793)], [[[29.0, 226.0], [209.0, 221.0], [210.0, 234.0], [29.0, 239.0]], ('8111870178246.5INPLIERS<A', 0.9654653072357178)], [[[47.0, 235.0], [267.0, 231.0], [267.0, 245.0], [47.0, 249.0]], ('HDX 1PC 6.5IN LONG NOSE LOCKING PLIE', 0.9181953072547913)], [[[48.0, 247.0], [89.0, 245.0], [90.0, 256.0], [48.0, 258.0]], ('203.49', 0.9411768317222595)], [[[237.0, 243.0], [267.0, 241.0], [268.0, 255.0], [239.0, 258.0]], ('6.98', 0.9777098298072815)], [[[28.0, 257.0], [188.0, 252.0], [188.0, 266.0], [28.0, 271.0]], ('030699140817 SCREW EYE <A>', 0.9179871082305908)], [[[238.0, 253.0], [269.0, 250.0], [270.0, 265.0], [240.0, 268.0]], ('860', 0.9671445488929749)], [[[46.0, 267.0], [153.0, 264.0], [154.0, 277.0], [46.0, 281.0]], ('#4 ZINC SCREW EYE', 0.9033772945404053)], [[[28.0, 278.0], [189.0, 272.0], [189.0, 286.0], [28.0, 292.0]], ('030699140718 SCREW EYE <A', 0.9130971431732178)], [[[240.0, 273.0], [271.0, 273.0], [271.0, 287.0], [240.0, 287.0]], ('0.98', 0.9830838441848755)], [[[46.0, 289.0], [148.0, 285.0], [149.0, 298.0], [46.0, 302.0]], ('#2 ZINCSCREW EYE', 0.9164150953292847)], [[[28.0, 300.0], [171.0, 295.0], [171.0, 309.0], [28.0, 313.0]], ('731919020017 GL0VES <A>', 0.923265814781189)], [[[242.0, 294.0], [272.0, 294.0], [272.0, 309.0], [242.0, 309.0]], ('9.99', 0.9875075817108154)], [[[45.0, 309.0], [214.0, 306.0], [214.0, 320.0], [45.0, 323.0]], ('FIRM GRIP ALL PURPOSE-SMALL', 0.918312132358551)], [[[28.0, 322.0], [173.0, 318.0], [174.0, 331.0], [28.0, 335.0]], ('731919020043 GL0VES <A>', 0.9178808331489563)], [[[243.0, 317.0], [272.0, 317.0], [272.0, 330.0], [243.0, 330.0]], ('666', 0.9814057350158691)], [[[43.0, 332.0], [227.0, 328.0], [228.0, 342.0], [44.0, 346.0]], ('FIRM GRIP ALL PURPOSE-X LARGE', 0.9368682503700256)], [[[133.0, 352.0], [183.0, 352.0], [183.0, 366.0], [133.0, 366.0]], ('SUBTOTAL', 0.9934860467910767)], [[[238.0, 349.0], [274.0, 349.0], [274.0, 363.0], [238.0, 363.0]], ('36.49', 0.9893800616264343)], [[[132.0, 364.0], [191.0, 361.0], [192.0, 375.0], [132.0, 378.0]], ('SALES TAX', 0.9301581978797913)], [[[241.0, 360.0], [273.0, 358.0], [275.0, 372.0], [243.0, 375.0]], ('2.19', 0.9917633533477783)], [[[133.0, 375.0], [167.0, 375.0], [167.0, 389.0], [133.0, 389.0]], ('TOTAL', 0.9966080784797668)], [[[231.0, 371.0], [274.0, 369.0], [275.0, 383.0], [232.0, 386.0]], ('8988', 0.658622682094574)], [[[237.0, 383.0], [274.0, 380.0], [275.0, 394.0], [238.0, 397.0]], ('38.68', 0.9903522729873657)], [[[259.0, 394.0], [275.0, 394.0], [275.0, 407.0], [259.0, 407.0]], ('TA', 0.9979199171066284)], [[[62.0, 481.0], [233.0, 476.0], [234.0, 489.0], [63.0, 494.0]], ('RETURN POLICY DEFINITIONS', 0.946025550365448)], [[[43.0, 492.0], [154.0, 488.0], [155.0, 501.0], [44.0, 505.0]], ('POLICY IDDAYS', 0.9327939748764038)], [[[152.0, 487.0], [287.0, 483.0], [288.0, 496.0], [153.0, 500.0]], ('POLICY EXPIRES ON', 0.9369385242462158)], [[[120.0, 500.0], [148.0, 500.0], [148.0, 511.0], [120.0, 511.0]], ('06', 0.984957218170166)], [[[186.0, 498.0], [260.0, 496.0], [261.0, 507.0], [186.0, 509.0]], ('11/12/2013', 0.9958353042602539)], [[[30.0, 511.0], [275.0, 503.0], [275.0, 518.0], [30.0, 527.0]], ('THE HOME DEPOT RESERVES TRE RIGHT TO', 0.9099040627479553)], [[[28.0, 523.0], [274.0, 515.0], [274.0, 529.0], [28.0, 537.0]], ('LIMIT /DENY RETURNS.PLEASE SEE THE', 0.9295632243156433)], [[[40.0, 535.0], [262.0, 528.0], [263.0, 542.0], [41.0, 548.0]], ('RETURN POL ICY SIGN IN STORES FOR', 0.9281366467475891)], [[[120.0, 544.0], [178.0, 542.0], [179.0, 556.0], [121.0, 558.0]], ('DETAILS.', 0.9900674819946289)], [[[53.0, 571.0], [241.0, 566.0], [241.0, 579.0], [53.0, 584.0]], ('BUY ONL INE PICK-UP INSTORE', 0.938825249671936)], [[[40.0, 584.0], [251.0, 579.0], [251.0, 593.0], [41.0, 598.0]], ('AVAILABLE NOW ON HOMEDEPOT.COM', 0.9516454935073853)], [[[40.0, 597.0], [263.0, 592.0], [264.0, 606.0], [41.0, 611.0]], ('CONVENIENTEASY AND MOST ORDERS', 0.9456480145454407)], [[[53.0, 610.0], [243.0, 606.0], [243.0, 620.0], [53.0, 624.0]], ('READY IN LESS THAN 2 HOURS!', 0.9137459993362427)], [[[27.0, 648.0], [279.0, 642.0], [279.0, 659.0], [27.0, 664.0]], ('ENTER FOR A CHANCE', 0.9361474514007568)], [[[49.0, 660.0], [261.0, 656.0], [262.0, 673.0], [49.0, 677.0]], ('TOWINA $5OO0', 0.7723188400268555)], [[[48.0, 674.0], [187.0, 671.0], [187.0, 687.0], [48.0, 690.0]], ('HOME DEPOT', 0.9401707649230957)], [[[201.0, 672.0], [257.0, 672.0], [257.0, 686.0], [201.0, 686.0]], ('GIFT', 0.9900695085525513)], [[[119.0, 688.0], [185.0, 688.0], [185.0, 697.0], [119.0, 697.0]], ('CARDI', 0.7970319986343384)]]	{"store_name": "THEHOMEDEPOT", "store_addr": "URBANDALE,IA50322(515)2515819 10850PLUMORIVE", "telephone": "", "date": "08/14/2013 08/14/13", "time": "01:57PM", "subtotal": "36.49", "tax": "2.19", "total": "$38.68", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FIRMGRIPALLPURPOSE-XLARGE", "item_value": "7.57", "item_quantity": "1"}, {"item_key": "", "item_name": "FIRMGRIPALLPURPOSE-SMALL", "item_value": "6.98", "item_quantity": "1"}, {"item_key": "", "item_name": "#2ZINCSCREWEYE", "item_value": "0.98", "item_quantity": "1"}, {"item_key": "", "item_name": "#4ZINCSCREWE", "item_value": "0.98", "item_quantity": "1"}, {"item_key": "", "item_name": "HDX1PC6.5INLONGNOSELOCKINGPLIE", "item_value": "9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "4X4-8FT#2PT", "item_value": "9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "4X4-8#2PT<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "6.5INPLIERS<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SCREWEYE<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SCREWEYE<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "GLOVES<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "GLOVES<A>", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[172.0, 143.0], [473.0, 133.0], [473.0, 151.0], [173.0, 161.0]], ('Welcome to Dukin Donuts/Baskin Robbins', 0.9416984915733337)], [[[279.0, 160.0], [364.0, 156.0], [365.0, 174.0], [280.0, 177.0]], ('Sanford.FL', 0.9684014320373535)], [[[265.0, 178.0], [413.0, 174.0], [414.0, 193.0], [266.0, 197.0]], ('1/1/20161:06:41PM', 0.9381864666938782)], [[[175.0, 203.0], [270.0, 200.0], [271.0, 229.0], [177.0, 233.0]], ('Eat In', 0.9691941738128662)], [[[179.0, 239.0], [418.0, 230.0], [419.0, 258.0], [180.0, 267.0]], ('Order Number:761', 0.9414651393890381)], [[[330.0, 283.0], [420.0, 281.0], [421.0, 300.0], [331.0, 302.0]], ('Tran Seq No', 0.9482629299163818)], [[[451.0, 279.0], [483.0, 279.0], [483.0, 296.0], [451.0, 296.0]], ('9761', 0.9975237846374512)], [[[180.0, 290.0], [257.0, 286.0], [258.0, 304.0], [181.0, 308.0]], ('Register:1', 0.9540504217147827)], [[[179.0, 307.0], [289.0, 304.0], [290.0, 322.0], [179.0, 325.0]], ('CashierKyle W.', 0.9052299857139587)], [[[195.0, 338.0], [340.0, 335.0], [340.0, 353.0], [195.0, 355.0]], ('Ht Cof MD Or igElnd', 0.8636511564254761)], [[[449.0, 330.0], [486.0, 327.0], [487.0, 346.0], [451.0, 349.0]], ('1.99', 0.9954085350036621)], [[[199.0, 356.0], [249.0, 356.0], [249.0, 371.0], [199.0, 371.0]], ('Muffin', 0.9915831089019775)], [[[452.0, 348.0], [487.0, 348.0], [487.0, 366.0], [452.0, 366.0]], ('1.59', 0.9952657222747803)], [[[196.0, 373.0], [354.0, 371.0], [354.0, 388.0], [196.0, 391.0]], ('D708 Free Muff in w/p', 0.9194867014884949)], [[[436.0, 366.0], [484.0, 362.0], [485.0, 382.0], [438.0, 386.0]], ('1.59', 0.881853461265564)], [[[196.0, 407.0], [282.0, 407.0], [282.0, 425.0], [196.0, 425.0]], ('Sub.Total', 0.9692380428314209)], [[[443.0, 402.0], [488.0, 397.0], [490.0, 415.0], [444.0, 419.0]], ('$1.99', 0.9940139651298523)], [[[196.0, 426.0], [230.0, 426.0], [230.0, 442.0], [196.0, 442.0]], ('Tax:', 0.9766831994056702)], [[[443.0, 419.0], [488.0, 415.0], [490.0, 434.0], [444.0, 438.0]], ('$0.14', 0.9847360849380493)], [[[194.0, 443.0], [243.0, 443.0], [243.0, 461.0], [194.0, 461.0]], ('Total:', 0.9022510051727295)], [[[444.0, 437.0], [488.0, 434.0], [489.0, 453.0], [445.0, 456.0]], ('$2.13', 0.9850901365280151)], [[[192.0, 464.0], [309.0, 464.0], [309.0, 478.0], [192.0, 478.0]], ('Discount Total', 0.9648371338844299)], [[[431.0, 455.0], [486.0, 453.0], [487.0, 472.0], [432.0, 474.0]], ('$1.59', 0.9928399324417114)], [[[189.0, 496.0], [242.0, 498.0], [241.0, 517.0], [188.0, 514.0]], ('Change', 0.9973236918449402)], [[[445.0, 491.0], [490.0, 488.0], [491.0, 507.0], [446.0, 510.0]], ('$0.00', 0.9923598170280457)], [[[188.0, 516.0], [325.0, 517.0], [325.0, 534.0], [187.0, 533.0]], ('Cash Exact Dol lar', 0.8711135387420654)], [[[445.0, 510.0], [490.0, 507.0], [491.0, 526.0], [446.0, 528.0]], ('$2.13', 0.9770568609237671)], [[[165.0, 557.0], [366.0, 557.0], [366.0, 568.0], [165.0, 568.0]], ('************', 0.5806187987327576)], [[[275.0, 575.0], [376.0, 575.0], [376.0, 604.0], [275.0, 604.0]], ('HEY AMERICA!', 0.9563465714454651)], [[[166.0, 609.0], [478.0, 606.0], [478.0, 624.0], [166.0, 627.0]], ('WANT A FREE DONUT WHEN YOU PURCHASE A', 0.9263623356819153)], [[[213.0, 629.0], [435.0, 627.0], [435.0, 645.0], [213.0, 647.0]], ('MEDIUM OR LARGER BEVERAGE?', 0.9435220956802368)], [[[189.0, 651.0], [459.0, 651.0], [459.0, 666.0], [189.0, 666.0]], ('Go to www.tel ldunkin.com on your', 0.9085866212844849)], [[[160.0, 671.0], [478.0, 669.0], [478.0, 686.0], [160.0, 689.0]], ('computer or mobi le device in the next', 0.9441507458686829)], [[[166.0, 692.0], [474.0, 692.0], [474.0, 709.0], [166.0, 709.0]], ('3 days and tell us about your visit.', 0.9280391335487366)], [[[197.0, 732.0], [446.0, 733.0], [446.0, 752.0], [197.0, 751.0]], ('Te invitamos a participar en', 0.9571748971939087)], [[[237.0, 755.0], [387.0, 757.0], [387.0, 775.0], [236.0, 773.0]], ('nuestra encuesta.', 0.9659014344215393)], [[[145.0, 800.0], [254.0, 800.0], [254.0, 821.0], [145.0, 821.0]], ('Sur vey Code:', 0.9208413362503052)], [[[294.0, 801.0], [483.0, 801.0], [483.0, 819.0], [294.0, 819.0]], ('76101-39744-1301-0164', 0.9813076257705688)], [[[136.0, 847.0], [337.0, 847.0], [337.0, 865.0], [136.0, 865.0]], ('Fnter Validat ion Code:', 0.9035702347755432)], [[[133.0, 868.0], [498.0, 870.0], [497.0, 891.0], [133.0, 889.0]], ('Bring receipt with code to redeem offer.', 0.9391378164291382)], [[[198.0, 892.0], [435.0, 894.0], [435.0, 913.0], [198.0, 910.0]], ('Visit DunkinDonuts.com for', 0.9701446890830994)], [[[208.0, 916.0], [421.0, 918.0], [421.0, 937.0], [208.0, 934.0]], ('redemption restrictions', 0.9706413149833679)], [[[169.0, 936.0], [466.0, 942.0], [465.0, 963.0], [168.0, 957.0]], ('FranchiseePlease use PLU #201', 0.9470260739326477)], [[[199.0, 983.0], [363.0, 984.0], [363.0, 999.0], [199.0, 998.0]], ('Ibapk You and Come', 0.8255760073661804)]]	{"store_name": "HEYAMERICA! WelcometoDunkinDonuts/BaskinRobbins", "store_addr": "Sanford.FL", "telephone": "", "date": "1/1/20161:06:41PM", "time": "", "subtotal": "$1.99", "tax": "$0.14", "total": "$2.13", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "D708FreeMuffinw/p", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Muffin", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "HtCofMDOrigBlnd", "item_value": "(1.59)", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[107.0, 51.0], [178.0, 51.0], [178.0, 65.0], [107.0, 65.0]], ('Loulay', 0.974665641784668)], [[[57.0, 64.0], [212.0, 61.0], [212.0, 78.0], [58.0, 81.0]], ('Kitchen & Bar', 0.931409478187561)], [[[93.0, 80.0], [190.0, 78.0], [190.0, 91.0], [93.0, 94.0]], ('600 Union Street', 0.9319275617599487)], [[[87.0, 94.0], [191.0, 90.0], [191.0, 107.0], [88.0, 111.0]], ('Seattle,WA 98101', 0.9294438362121582)], [[[106.0, 108.0], [179.0, 106.0], [180.0, 122.0], [106.0, 123.0]], ('206-402-4588', 0.9863979816436768)], [[[76.0, 125.0], [210.0, 121.0], [210.0, 136.0], [76.0, 139.0]], ('www.Loulay-Seattle.com', 0.9715961217880249)], [[[31.0, 154.0], [104.0, 154.0], [104.0, 168.0], [31.0, 168.0]], ('5035 Lucas S', 0.9222319722175598)], [[[24.0, 183.0], [75.0, 183.0], [75.0, 200.0], [24.0, 200.0]], ('Tb150/1', 0.9784956574440002)], [[[119.0, 182.0], [170.0, 182.0], [170.0, 196.0], [119.0, 196.0]], ('Chk 1268', 0.9421122074127197)], [[[227.0, 179.0], [267.0, 179.0], [267.0, 194.0], [227.0, 194.0]], ('Gst 2', 0.9302695989608765)], [[[95.0, 197.0], [193.0, 195.0], [193.0, 209.0], [95.0, 211.0]], ('May0715 09:20AM', 0.9366039037704468)], [[[37.0, 225.0], [94.0, 227.0], [94.0, 244.0], [36.0, 242.0]], ('1 Hot Tea', 0.9194676876068115)], [[[223.0, 224.0], [250.0, 224.0], [250.0, 239.0], [223.0, 239.0]], ('4.00', 0.9968428611755371)], [[[38.0, 243.0], [88.0, 243.0], [88.0, 257.0], [38.0, 257.0]], ('1.Coffee', 0.910766065120697)], [[[223.0, 239.0], [250.0, 239.0], [250.0, 254.0], [223.0, 254.0]], ('4.00', 0.995690107345581)], [[[37.0, 257.0], [129.0, 255.0], [130.0, 272.0], [38.0, 274.0]], ('1 Eggs Benedict', 0.948224663734436)], [[[218.0, 254.0], [251.0, 254.0], [251.0, 269.0], [218.0, 269.0]], ('17.00', 0.9936567544937134)], [[[38.0, 273.0], [147.0, 272.0], [147.0, 286.0], [38.0, 287.0]], ('12 Eggs w Sausage', 0.9396201372146606)], [[[218.0, 270.0], [251.0, 270.0], [251.0, 284.0], [218.0, 284.0]], ('14.00', 0.9958537220954895)], [[[48.0, 287.0], [118.0, 286.0], [118.0, 301.0], [48.0, 302.0]], ('BACON N CHZ', 0.9437620043754578)], [[[38.0, 302.0], [106.0, 302.0], [106.0, 316.0], [38.0, 316.0]], ('1 Open Food', 0.8472231030464172)], [[[224.0, 299.0], [253.0, 299.0], [253.0, 314.0], [224.0, 314.0]], ('5.00', 0.9938000440597534)], [[[49.0, 331.0], [101.0, 331.0], [101.0, 349.0], [49.0, 349.0]], ('Subtotal', 0.9956917762756348)], [[[220.0, 330.0], [254.0, 330.0], [254.0, 346.0], [220.0, 346.0]], ('44.00', 0.9969375729560852)], [[[50.0, 345.0], [75.0, 348.0], [73.0, 364.0], [49.0, 361.0]], ('Tax', 0.9919517636299133)], [[[226.0, 346.0], [254.0, 346.0], [254.0, 362.0], [226.0, 362.0]], ('4.22', 0.9951508045196533)], [[[28.0, 363.0], [107.0, 363.0], [107.0, 377.0], [28.0, 377.0]], ('09:59AM Tota1', 0.905167818069458)], [[[191.0, 360.0], [254.0, 360.0], [254.0, 377.0], [191.0, 377.0]], ('48.22', 0.9981776475906372)], [[[55.0, 393.0], [161.0, 393.0], [161.0, 407.0], [55.0, 407.0]], ('Thank You', 0.9461021423339844)]]	{"store_name": "Kitchen&Bar Loulay", "store_addr": "Seattle,WA98101 600UnionStreet", "telephone": "206-402-4588", "date": "May07'15", "time": "09:59AM", "subtotal": "44.00", "tax": "4.22", "total": "48.22", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "OpenFood", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BACONNCHZ", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "2EggswSausage", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EggsBenedict", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Coffee", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HotTea", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[165.0, 15.0], [357.0, 15.0], [357.0, 32.0], [165.0, 32.0]], ('The Butcher Shop & Gri11', 0.9289243221282959)], [[[163.0, 36.0], [358.0, 35.0], [358.0, 51.0], [163.0, 52.0]], ('Jumeirah Beach Residence', 0.9604988098144531)], [[[104.0, 73.0], [171.0, 73.0], [171.0, 91.0], [104.0, 91.0]], ('151 ALEX', 0.9286283850669861)], [[[383.0, 108.0], [433.0, 108.0], [433.0, 129.0], [383.0, 129.0]], ('Gst1', 0.9754250645637512)], [[[460.0, 99.0], [481.0, 99.0], [481.0, 113.0], [460.0, 113.0]], ('IRE', 0.9781699180603027)], [[[90.0, 110.0], [161.0, 110.0], [161.0, 130.0], [90.0, 130.0]], ('Tb135/1', 0.9630035758018494)], [[[226.0, 111.0], [294.0, 111.0], [294.0, 128.0], [226.0, 128.0]], ('Chk 9541', 0.9426060914993286)], [[[191.0, 131.0], [329.0, 131.0], [329.0, 148.0], [191.0, 148.0]], ("Dec02'1605:25PM", 0.9324899911880493)], [[[114.0, 168.0], [245.0, 170.0], [244.0, 190.0], [114.0, 188.0]], ('Dine In', 0.9586509466171265)], [[[94.0, 191.0], [207.0, 191.0], [207.0, 211.0], [94.0, 211.0]], ('1 Fillet 240', 0.8866784572601318)], [[[358.0, 189.0], [415.0, 189.0], [415.0, 211.0], [358.0, 211.0]], ('126.00', 0.9950646758079529)], [[[92.0, 213.0], [214.0, 213.0], [214.0, 233.0], [92.0, 233.0]], ('1 Add Lobster', 0.9404360055923462)], [[[367.0, 211.0], [418.0, 211.0], [418.0, 233.0], [367.0, 233.0]], ('65.00', 0.9955250024795532)], [[[89.0, 237.0], [251.0, 235.0], [251.0, 255.0], [89.0, 257.0]], ('1 Strwbery Moj ito', 0.919600784778595)], [[[368.0, 234.0], [420.0, 234.0], [420.0, 255.0], [368.0, 255.0]], ('24.00', 0.9925918579101562)], [[[480.0, 255.0], [507.0, 255.0], [507.0, 270.0], [480.0, 270.0]], ('de.', 0.8186617493629456)], [[[64.0, 284.0], [232.0, 284.0], [232.0, 303.0], [64.0, 303.0]], ('06:04PM Tota1 Due', 0.9124171137809753)], [[[306.0, 281.0], [422.0, 279.0], [423.0, 302.0], [307.0, 304.0]], ('215.00', 0.9982638359069824)]]	{"store_name": "TheButcherShop&Grill", "store_addr": "JumeirahBeachResidence", "telephone": "", "date": "Dec02'16", "time": "06:04PM", "subtotal": "", "tax": "", "total": "215.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Fillet240", "item_value": "126.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AddLobster", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "", "item_name": "StrwberyMojito", "item_value": "24.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[285.0, 59.0], [338.0, 61.0], [337.0, 87.0], [284.0, 85.0]], ('he', 0.949217677116394)], [[[246.0, 82.0], [373.0, 87.0], [372.0, 114.0], [245.0, 109.0]], ('Solden', 0.8210132122039795)], [[[261.0, 110.0], [367.0, 113.0], [366.0, 138.0], [260.0, 135.0]], ('pear', 0.9896336793899536)], [[[302.0, 135.0], [341.0, 137.0], [340.0, 155.0], [301.0, 153.0]], ('Cafe', 0.997873067855835)], [[[212.0, 149.0], [322.0, 153.0], [322.0, 170.0], [212.0, 166.0]], ('East Hampton,NY', 0.9386160373687744)], [[[246.0, 168.0], [341.0, 168.0], [341.0, 182.0], [246.0, 182.0]], ('631)329-1600', 0.9555845260620117)], [[[229.0, 181.0], [356.0, 180.0], [356.0, 197.0], [229.0, 198.0]], ('Fax 631)329-1648', 0.9292797446250916)], [[[216.0, 198.0], [369.0, 193.0], [369.0, 210.0], [216.0, 215.0]], ('www.goldenpearcafe.com', 0.9780170917510986)], [[[183.0, 212.0], [220.0, 212.0], [220.0, 226.0], [183.0, 226.0]], ('Date:', 0.9857581853866577)], [[[262.0, 211.0], [376.0, 207.0], [376.0, 224.0], [262.0, 228.0]], ("Aug06'15 11:01AM", 0.9220966100692749)], [[[181.0, 227.0], [254.0, 227.0], [254.0, 241.0], [181.0, 241.0]], ('Card Type:', 0.9224632382392883)], [[[263.0, 226.0], [295.0, 226.0], [295.0, 240.0], [263.0, 240.0]], ('Visa', 0.996410608291626)], [[[180.0, 241.0], [231.0, 241.0], [231.0, 255.0], [180.0, 255.0]], ('Acct#', 0.9130524396896362)], [[[262.0, 239.0], [375.0, 237.0], [375.0, 252.0], [262.0, 254.0]], ('XXXXXXXXXXXX1779', 0.7670842409133911)], [[[180.0, 257.0], [244.0, 257.0], [244.0, 271.0], [180.0, 271.0]], ('Exp Date', 0.9475406408309937)], [[[261.0, 254.0], [302.0, 252.0], [303.0, 270.0], [262.0, 272.0]], ('XX/XX', 0.7119110822677612)], [[[178.0, 272.0], [250.0, 272.0], [250.0, 289.0], [178.0, 289.0]], ('Auth Code:', 0.9243544340133667)], [[[262.0, 270.0], [305.0, 268.0], [306.0, 285.0], [263.0, 287.0]], ('08316C', 0.982711136341095)], [[[178.0, 290.0], [222.0, 290.0], [222.0, 305.0], [178.0, 305.0]], ('Check:', 0.9895858764648438)], [[[262.0, 287.0], [289.0, 287.0], [289.0, 303.0], [262.0, 303.0]], ('9391', 0.9993127584457397)], [[[176.0, 305.0], [241.0, 304.0], [241.0, 322.0], [176.0, 323.0]], ('Check ID', 0.9545007348060608)], [[[260.0, 302.0], [300.0, 302.0], [300.0, 320.0], [260.0, 320.0]], ('CHINO', 0.9686945080757141)], [[[176.0, 323.0], [229.0, 323.0], [229.0, 340.0], [176.0, 340.0]], ('Server:', 0.9898951649665833)], [[[259.0, 320.0], [320.0, 320.0], [320.0, 337.0], [259.0, 337.0]], ('5 Karina', 0.9540310502052307)], [[[175.0, 357.0], [239.0, 354.0], [240.0, 372.0], [176.0, 375.0]], ('Subtotal:', 0.9841597080230713)], [[[316.0, 352.0], [392.0, 350.0], [392.0, 372.0], [316.0, 374.0]], ('22.70', 0.9926926493644714)], [[[175.0, 388.0], [203.0, 393.0], [199.0, 414.0], [171.0, 409.0]], ('Tip', 0.9869077205657959)], [[[173.0, 428.0], [210.0, 428.0], [210.0, 447.0], [173.0, 447.0]], ('Total', 0.9935628175735474)], [[[172.0, 466.0], [239.0, 466.0], [239.0, 484.0], [172.0, 484.0]], ('Signature', 0.9960325956344604)], [[[170.0, 504.0], [365.0, 499.0], [365.0, 519.0], [170.0, 524.0]], ('I agree to pay above total', 0.9324400424957275)], [[[170.0, 524.0], [373.0, 520.0], [373.0, 538.0], [170.0, 542.0]], ('according to my card issuer', 0.9540185332298279)], [[[170.0, 544.0], [245.0, 543.0], [245.0, 561.0], [170.0, 562.0]], ('agreement.', 0.9892093539237976)], [[[169.0, 563.0], [288.0, 561.0], [288.0, 581.0], [169.0, 583.0]], ('Customer', 0.9965040683746338)], [[[167.0, 583.0], [230.0, 583.0], [230.0, 604.0], [167.0, 604.0]], ('Copy', 0.9977278113365173)]]	{"store_name": "thegoldenpearcafe", "store_addr": "EastHampton,NY", "telephone": "(631)329-1600", "date": "Aug06'15", "time": "11:01AM", "subtotal": "22.70", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[1014.0, 287.0], [1813.0, 316.0], [1811.0, 373.0], [1012.0, 343.0]], ('Main Street Restaurant', 0.979037344455719)], [[[1066.0, 350.0], [1766.0, 360.0], [1765.0, 413.0], [1065.0, 403.0]], ('6332 Business Drive', 0.9688553810119629)], [[[1246.0, 400.0], [1586.0, 407.0], [1585.0, 460.0], [1245.0, 453.0]], ('Suite 528', 0.9473987221717834)], [[[926.0, 450.0], [1896.0, 460.0], [1895.0, 522.0], [926.0, 512.0]], ('Palo Alto California 94301', 0.9644242525100708)], [[[1209.0, 506.0], [1623.0, 516.0], [1622.0, 569.0], [1208.0, 559.0]], ('575-1628095', 0.9949333071708679)], [[[983.0, 675.0], [1856.0, 704.0], [1854.0, 766.0], [981.0, 737.0]], ('Fri 04/07/201711:36AM', 0.9561750292778015)], [[[918.0, 809.0], [1379.0, 826.0], [1377.0, 889.0], [916.0, 871.0]], ('Merchant ID:', 0.9642928242683411)], [[[1532.0, 825.0], [1909.0, 835.0], [1906.0, 913.0], [1529.0, 903.0]], ('9hqjxvufdr', 0.9908839464187622)], [[[918.0, 881.0], [1376.0, 895.0], [1374.0, 957.0], [916.0, 943.0]], ('Terminal ID:', 0.9652158617973328)], [[[1719.0, 907.0], [1905.0, 907.0], [1905.0, 975.0], [1719.0, 975.0]], ('11111', 0.9986356496810913)], [[[918.0, 1022.0], [1577.0, 1042.0], [1575.0, 1107.0], [916.0, 1087.0]], ('Transaction ID:', 0.9504423141479492)], [[[1556.0, 1041.0], [1905.0, 1048.0], [1904.0, 1110.0], [1554.0, 1103.0]], ('#e6d598ef', 0.9903416037559509)], [[[914.0, 1097.0], [1112.0, 1097.0], [1112.0, 1179.0], [914.0, 1179.0]], ('Type:', 0.9895213842391968)], [[[1673.0, 1116.0], [1899.0, 1116.0], [1899.0, 1182.0], [1673.0, 1182.0]], ('CREDIT', 0.9980389475822449)], [[[1259.0, 1241.0], [1562.0, 1248.0], [1560.0, 1313.0], [1257.0, 1306.0]], ('PURCHASE', 0.9956505298614502)], [[[920.0, 1313.0], [1180.0, 1313.0], [1180.0, 1369.0], [920.0, 1369.0]], ('Number:', 0.9835596084594727)], [[[1292.0, 1316.0], [1883.0, 1322.0], [1883.0, 1379.0], [1291.0, 1372.0]], ('XXXXXXXXXXXX0041', 0.8965412378311157)], [[[914.0, 1378.0], [1329.0, 1385.0], [1328.0, 1451.0], [913.0, 1444.0]], ('Entry Mode:', 0.9479507803916931)], [[[1662.0, 1384.0], [1893.0, 1392.0], [1891.0, 1457.0], [1660.0, 1450.0]], ('Swiped', 0.9981105923652649)], [[[912.0, 1444.0], [1295.0, 1454.0], [1293.0, 1526.0], [910.0, 1516.0]], ('Card Type:', 0.9410878419876099)], [[[1587.0, 1450.0], [1890.0, 1457.0], [1888.0, 1523.0], [1585.0, 1516.0]], ('DISCOVER', 0.9983540177345276)], [[[914.0, 1588.0], [1251.0, 1588.0], [1251.0, 1651.0], [914.0, 1651.0]], ('Response:', 0.9935294389724731)], [[[1589.0, 1594.0], [1886.0, 1594.0], [1886.0, 1651.0], [1589.0, 1651.0]], ('APPROVED', 0.9978722929954529)], [[[910.0, 1654.0], [1433.0, 1644.0], [1435.0, 1719.0], [912.0, 1729.0]], ('Approval Code:', 0.9854634404182434)], [[[1652.0, 1653.0], [1887.0, 1661.0], [1885.0, 1726.0], [1650.0, 1719.0]], ('819543', 0.9987363219261169)], [[[914.0, 1788.0], [1245.0, 1788.0], [1245.0, 1851.0], [914.0, 1851.0]], ('Sub Total', 0.971145749092102)], [[[1503.0, 1788.0], [1880.0, 1795.0], [1879.0, 1860.0], [1502.0, 1853.0]], ('USD$ 25.23', 0.9552711248397827)], [[[912.0, 1849.0], [1061.0, 1862.0], [1055.0, 1937.0], [906.0, 1924.0]], ('Tip:', 0.9890408515930176)], [[[1728.0, 1866.0], [1880.0, 1866.0], [1880.0, 1926.0], [1728.0, 1926.0]], ('3.78', 0.9979047775268555)], [[[904.0, 1988.0], [1096.0, 1985.0], [1097.0, 2057.0], [905.0, 2060.0]], ('Total', 0.9987239837646484)], [[[1497.0, 1988.0], [1868.0, 1995.0], [1867.0, 2060.0], [1496.0, 2053.0]], ('USD$ 29.01', 0.9519500732421875)], [[[1019.0, 2326.0], [1784.0, 2326.0], [1784.0, 2395.0], [1019.0, 2395.0]], ('Thanks for supporting', 0.9722130298614502)], [[[1105.0, 2398.0], [1654.0, 2391.0], [1654.0, 2454.0], [1106.0, 2460.0]], ('local business!', 0.9589154124259949)], [[[1213.0, 2530.0], [1547.0, 2519.0], [1549.0, 2588.0], [1216.0, 2598.0]], ('THANK YOU', 0.965774655342102)]]	{"store_name": "MainStreetRestaurant", "store_addr": "6332BusinessDrive Suite528 PaloAltoCalifornia94301", "telephone": "575-1628095", "date": "04/07/2017", "time": "11:36AM", "subtotal": "USD$25.23", "tax": "", "total": "USD$29.01", "ignore": "", "tips": "3.78", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[216.0, 58.0], [340.0, 37.0], [347.0, 82.0], [223.0, 103.0]], ('YUa', 0.6277657151222229)], [[[164.0, 159.0], [401.0, 125.0], [405.0, 150.0], [167.0, 184.0]], ('WELCOME TO BEST BUY #569', 0.9141536355018616)], [[[172.0, 179.0], [381.0, 150.0], [384.0, 174.0], [176.0, 203.0]], ('21415 US HIGHWAY 19N', 0.9405544996261597)], [[[184.0, 198.0], [381.0, 172.0], [384.0, 197.0], [187.0, 223.0]], ('CLEARWATER FL 33765', 0.9449165463447571)], [[[214.0, 217.0], [351.0, 201.0], [353.0, 222.0], [217.0, 238.0]], ('727669-0282', 0.9892982840538025)], [[[196.0, 258.0], [370.0, 241.0], [373.0, 265.0], [198.0, 282.0]], ('Keep your receipt', 0.9341562986373901)], [[[219.0, 285.0], [352.0, 272.0], [354.0, 297.0], [222.0, 310.0]], ('bsupa', 0.8306447267532349)], [[[70.0, 419.0], [346.0, 414.0], [346.0, 435.0], [70.0, 440.0]], ('0564068505309/05/1517:31', 0.984419584274292)], [[[71.0, 480.0], [145.0, 480.0], [145.0, 498.0], [71.0, 498.0]], ('7069223', 0.9969084858894348)], [[[179.0, 478.0], [289.0, 477.0], [289.0, 496.0], [179.0, 497.0]], ('X553MA-BPDO', 0.9640989899635315)], [[[410.0, 473.0], [477.0, 473.0], [477.0, 495.0], [410.0, 495.0]], ('157.49', 0.9388417601585388)], [[[90.0, 501.0], [391.0, 497.0], [392.0, 515.0], [90.0, 519.0]], ('ASUS X553MA-BPD0705I 15.6/PEN', 0.9516047835350037)], [[[109.0, 521.0], [359.0, 518.0], [360.0, 536.0], [110.0, 540.0]], ('28.00 OPEN ITEM DISCOUNT', 0.9319407343864441)], [[[109.0, 541.0], [260.0, 540.0], [260.0, 557.0], [110.0, 558.0]], ('94.50DISCOUNT', 0.9857706427574158)], [[[88.0, 560.0], [290.0, 559.0], [290.0, 577.0], [88.0, 578.0]], ('LP#200002264694750', 0.9961493015289307)], [[[88.0, 580.0], [289.0, 579.0], [289.0, 598.0], [88.0, 599.0]], ('CONDITION:EXCELLENT', 0.9711601138114929)], [[[87.0, 602.0], [231.0, 600.0], [232.0, 618.0], [87.0, 620.0]], ('PACKAGINGYES', 0.9919093251228333)], [[[87.0, 623.0], [230.0, 621.0], [230.0, 640.0], [87.0, 642.0]], ('ITEM TAX11.02', 0.9426834583282471)], [[[291.0, 664.0], [373.0, 664.0], [373.0, 682.0], [291.0, 682.0]], ('SUBTOTAL', 0.9958109855651855)], [[[416.0, 663.0], [485.0, 668.0], [483.0, 690.0], [415.0, 685.0]], ('157.49', 0.9960256218910217)], [[[210.0, 682.0], [374.0, 683.0], [374.0, 704.0], [210.0, 703.0]], ('SALES TAX AMOUNT', 0.9526687264442444)], [[[427.0, 685.0], [486.0, 689.0], [484.0, 712.0], [425.0, 708.0]], ('11.02', 0.996823787689209)], [[[323.0, 725.0], [378.0, 727.0], [377.0, 750.0], [322.0, 748.0]], ('TOTAL', 0.9985299110412598)], [[[418.0, 728.0], [485.0, 733.0], [483.0, 756.0], [416.0, 751.0]], ('168.51', 0.9942858815193176)], [[[63.0, 773.0], [211.0, 771.0], [211.0, 788.0], [63.0, 791.0]], ('******7010', 0.7720180749893188)], [[[335.0, 772.0], [379.0, 772.0], [379.0, 792.0], [335.0, 792.0]], ('AMEX', 0.9974765777587891)], [[[420.0, 771.0], [486.0, 777.0], [484.0, 799.0], [418.0, 794.0]], ('168.51', 0.9905789494514465)], [[[61.0, 795.0], [242.0, 792.0], [242.0, 811.0], [61.0, 815.0]], ('HENDERSON BARROW', 0.9636375308036804)], [[[61.0, 818.0], [220.0, 814.0], [220.0, 833.0], [61.0, 837.0]], ('APPROVAL 357440', 0.9430601000785828)], [[[231.0, 854.0], [372.0, 856.0], [372.0, 878.0], [230.0, 876.0]], ('OTHER SAVINGS', 0.9591646790504456)], [[[421.0, 856.0], [489.0, 860.0], [488.0, 882.0], [420.0, 878.0]], ('122.50', 0.9912074208259583)], [[[233.0, 880.0], [378.0, 880.0], [378.0, 914.0], [233.0, 914.0]], ('TOTAL SAVINGS:', 0.9571383595466614)], [[[419.0, 879.0], [491.0, 879.0], [491.0, 919.0], [419.0, 919.0]], ('122.50', 0.9763830304145813)]]	{"store_name": "", "store_addr": "21415USHIGHWAY19N CLEARWATER,FL33765", "telephone": "(727)669-0282", "date": "09/05/15", "time": "17:31", "subtotal": "157.49 157.49", "tax": "11.02", "total": "168.51 168.51", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ASUSX553MA-BPD0705I15.6\"/PEN", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[93.0, 20.0], [250.0, 18.0], [251.0, 39.0], [93.0, 41.0]], ('OPOAOF IKH ANOLEIEH -ENAPH', 0.7451258301734924)], [[[96.0, 39.0], [245.0, 39.0], [245.0, 66.0], [96.0, 66.0]], ('PREMIER CAPITAL EMA A.E.', 0.8524753451347351)], [[[60.0, 62.0], [284.0, 61.0], [284.0, 75.0], [61.0, 76.0]], ('IOPYSH EKMET-H 8 AE ITOYP IA ESTIATOPION', 0.8103485107421875)], [[[116.0, 78.0], [235.0, 78.0], [235.0, 91.0], [116.0, 91.0]], ('Y.EPMOY2YNTAIMA', 0.9137386679649353)], [[[69.0, 94.0], [268.0, 94.0], [268.0, 107.0], [69.0, 107.0]], ('E.AA.NANAOYAH 59A.APAKEYH', 0.8457480072975159)], [[[60.0, 109.0], [279.0, 108.0], [279.0, 123.0], [60.0, 124.0]], ('A.O.M.094386010A.O.Y.0.A.E.ABHNON', 0.8568320274353027)], [[[36.0, 141.0], [180.0, 141.0], [180.0, 155.0], [36.0, 155.0]], ('KYPIAKH 08 OKT9BPIOY 2017', 0.8805078864097595)], [[[248.0, 139.0], [309.0, 136.0], [309.0, 154.0], [249.0, 156.0]], ('9PA:11:54', 0.8533816933631897)], [[[36.0, 156.0], [115.0, 156.0], [115.0, 173.0], [36.0, 173.0]], ('MHXANH01', 0.9311199188232422)], [[[272.0, 155.0], [310.0, 155.0], [310.0, 170.0], [272.0, 170.0]], ('TAM.7', 0.8698554039001465)], [[[37.0, 188.0], [92.0, 188.0], [92.0, 202.0], [37.0, 202.0]], ('Greek Mac', 0.9292216897010803)], [[[244.0, 186.0], [308.0, 186.0], [308.0, 200.0], [244.0, 200.0]], ('3552400%', 0.9551861882209778)], [[[36.0, 202.0], [96.0, 202.0], [96.0, 219.0], [36.0, 219.0]], ('Ncp500m', 0.8992210030555725)], [[[243.0, 202.0], [308.0, 202.0], [308.0, 216.0], [243.0, 216.0]], ('05024,00%', 0.933497428894043)], [[[37.0, 234.0], [76.0, 234.0], [76.0, 258.0], [37.0, 258.0]], ('EYNONO', 0.6587180495262146)], [[[253.0, 232.0], [309.0, 230.0], [310.0, 256.0], [254.0, 258.0]], ('4,05EYPO', 0.8653590083122253)], [[[36.0, 255.0], [83.0, 255.0], [83.0, 281.0], [36.0, 281.0]], ('METPHTA', 0.9451163411140442)], [[[279.0, 252.0], [310.0, 252.0], [310.0, 279.0], [279.0, 279.0]], ('5,10', 0.9527431726455688)], [[[37.0, 278.0], [142.0, 277.0], [142.0, 291.0], [38.0, 292.0]], ('PESTA-EYPO:METPHTA', 0.8993018269538879)], [[[255.0, 275.0], [310.0, 275.0], [310.0, 292.0], [255.0, 292.0]], ('1,05EYPO', 0.8172795176506042)], [[[104.0, 290.0], [209.0, 292.0], [208.0, 318.0], [104.0, 315.0]], ('MONADIKOE APIONOE:', 0.8107616901397705)], [[[115.0, 312.0], [199.0, 312.0], [199.0, 342.0], [115.0, 342.0]], ('005E-MAR4-R9E8', 0.8859644532203674)], [[[39.0, 340.0], [108.0, 340.0], [108.0, 351.0], [39.0, 351.0]], ('WCC0DE=6418', 0.9605875611305237)], [[[37.0, 354.0], [214.0, 352.0], [214.0, 366.0], [38.0, 368.0]], ('HMEPHIO AP.ANODEIEHS EOON', 0.7776563167572021)], [[[273.0, 351.0], [311.0, 351.0], [311.0, 366.0], [273.0, 366.0]], ('000175', 0.9969420433044434)], [[[37.0, 370.0], [229.0, 368.0], [230.0, 382.0], [38.0, 384.0]], ('POODEYTIKO AP. ANODEIEHE EEOOON', 0.760574996471405)], [[[261.0, 367.0], [311.0, 366.0], [311.0, 381.0], [261.0, 382.0]], ('00271274', 0.9961487650871277)], [[[36.0, 385.0], [176.0, 384.0], [176.0, 398.0], [37.0, 399.0]], ('KAPTA ANODEIEEON NEAATH:', 0.8183792233467102)], [[[71.0, 401.0], [270.0, 399.0], [270.0, 413.0], [71.0, 415.0]], ('APIGMO MHTPQOY AOHHEFGH 15000470', 0.8479190468788147)], [[[37.0, 417.0], [74.0, 417.0], [74.0, 431.0], [37.0, 431.0]], ('SAHUU', 0.6313434839248657)], [[[35.0, 431.0], [266.0, 428.0], [266.0, 445.0], [36.0, 448.0]], ('9CF20C45878EF1158499146B17E9F8606300A7EA', 0.958375096321106)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "11:54", "subtotal": "4,05", "tax": "1,05", "total": "5,10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GreekMac", "item_value": "3,55", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0,50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[176.0, 39.0], [248.0, 41.0], [248.0, 55.0], [176.0, 53.0]], ('KARAM BEIRUT', 0.9080929160118103)], [[[177.0, 51.0], [244.0, 53.0], [244.0, 67.0], [177.0, 65.0]], ('Duba1 Na1', 0.6388804912567139)], [[[166.0, 62.0], [255.0, 65.0], [255.0, 80.0], [166.0, 76.0]], ('Te1:04-3399789', 0.9183027148246765)], [[[171.0, 86.0], [240.0, 89.0], [240.0, 103.0], [171.0, 100.0]], ('TAX INVOICE', 0.9580479264259338)], [[[145.0, 96.0], [266.0, 102.0], [266.0, 119.0], [144.0, 113.0]], ('TRN100212267500003', 0.9708237051963806)], [[[113.0, 134.0], [288.0, 142.0], [288.0, 157.0], [112.0, 149.0]], ('CHECK 7950 Tabe# 202 ***', 0.913170337677002)], [[[175.0, 149.0], [224.0, 153.0], [223.0, 168.0], [173.0, 164.0]], ('Dine In', 0.9751505255699158)], [[[58.0, 167.0], [134.0, 175.0], [132.0, 192.0], [57.0, 184.0]], ('1Moutabba', 0.9000610709190369)], [[[57.0, 183.0], [131.0, 190.0], [130.0, 204.0], [56.0, 197.0]], ('1Tabbouleh', 0.946307361125946)], [[[297.0, 182.0], [334.0, 182.0], [334.0, 197.0], [297.0, 197.0]], ('28.00', 0.9941986799240112)], [[[52.0, 196.0], [154.0, 205.0], [153.0, 222.0], [51.0, 213.0]], ('1 Hommos Fatteh', 0.8919305801391602)], [[[296.0, 197.0], [334.0, 197.0], [334.0, 212.0], [296.0, 212.0]], ('28.00', 0.995057225227356)], [[[50.0, 211.0], [138.0, 218.0], [137.0, 235.0], [49.0, 228.0]], ('1 Karam kabab', 0.9410765767097473)], [[[296.0, 211.0], [333.0, 211.0], [333.0, 226.0], [296.0, 226.0]], ('32.00', 0.9958370327949524)], [[[59.0, 229.0], [173.0, 237.0], [172.0, 251.0], [58.0, 243.0]], ('100%ENTRTAINER', 0.978775680065155)], [[[295.0, 227.0], [333.0, 227.0], [333.0, 242.0], [295.0, 242.0]], ('58.00', 0.997048556804657)], [[[43.0, 243.0], [133.0, 250.0], [132.0, 265.0], [42.0, 257.0]], ('1Mixed gri11', 0.8960244655609131)], [[[291.0, 241.0], [334.0, 243.0], [333.0, 259.0], [290.0, 257.0]], ('-58.00', 0.9237658977508545)], [[[38.0, 257.0], [150.0, 268.0], [149.0, 285.0], [37.0, 274.0]], ('i San Pellegrino', 0.9138597249984741)], [[[293.0, 256.0], [334.0, 259.0], [333.0, 277.0], [292.0, 274.0]], ('77.00', 0.9952623248100281)], [[[292.0, 273.0], [334.0, 276.0], [333.0, 294.0], [291.0, 291.0]], ('24.00', 0.9967403411865234)], [[[178.0, 301.0], [250.0, 307.0], [248.0, 325.0], [176.0, 319.0]], ('Total Due:', 0.8988800048828125)], [[[285.0, 307.0], [334.0, 311.0], [332.0, 330.0], [284.0, 326.0]], ('189.00', 0.9969157576560974)], [[[48.0, 383.0], [286.0, 403.0], [284.0, 423.0], [47.0, 403.0]], ('Prices are inclusive of 5% VAT.', 0.9535610675811768)], [[[190.0, 375.0], [245.0, 379.0], [244.0, 398.0], [188.0, 394.0]], ('VAT 5%', 0.9110198616981506)], [[[295.0, 383.0], [332.0, 386.0], [330.0, 405.0], [294.0, 402.0]], ('8.99', 0.9971067309379578)], [[[80.0, 426.0], [184.0, 435.0], [183.0, 449.0], [79.0, 445.0]], ('Thank.you.for', 0.8854467868804932)]]	{"store_name": "KARAHBEIRUT DubaiMall", "store_addr": "", "telephone": "04-3399789", "date": "01/17/18", "time": "8:15PM", "subtotal": "", "tax": "8.99", "total": "189.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Moutabbal", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tabbouleh", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HommosFatteh", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Karamkabab", "item_value": "58.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mixedgrill", "item_value": "77.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SanPellegrino", "item_value": "24.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[83.0, 46.0], [298.0, 51.0], [297.0, 76.0], [82.0, 70.0]], ('The 01d Spaghetti Factory', 0.9428892731666565)], [[[127.0, 93.0], [266.0, 93.0], [266.0, 114.0], [127.0, 114.0]], ('600S 700E #189', 0.9254215359687805)], [[[8.0, 134.0], [159.0, 137.0], [159.0, 157.0], [8.0, 155.0]], ('Server:Travis M.', 0.9511469602584839)], [[[288.0, 142.0], [369.0, 142.0], [369.0, 160.0], [288.0, 160.0]], ('06/01/2015', 0.9966989755630493)], [[[9.0, 158.0], [111.0, 158.0], [111.0, 178.0], [9.0, 178.0]], ('Table 144/5', 0.9476673007011414)], [[[310.0, 162.0], [372.0, 162.0], [372.0, 183.0], [310.0, 183.0]], ('8:15PM', 0.9273974299430847)], [[[6.0, 178.0], [92.0, 180.0], [91.0, 201.0], [6.0, 199.0]], ('Guests:1', 0.9571073055267334)], [[[327.0, 183.0], [373.0, 183.0], [373.0, 205.0], [327.0, 205.0]], ('40042', 0.9987350702285767)], [[[7.0, 223.0], [192.0, 225.0], [191.0, 243.0], [7.0, 241.0]], ("#3 Meat Lover's Treat", 0.9600414037704468)], [[[329.0, 225.0], [374.0, 225.0], [374.0, 247.0], [329.0, 247.0]], ('13.25', 0.991864800453186)], [[[5.0, 246.0], [175.0, 247.0], [175.0, 265.0], [5.0, 264.0]], ('Strawberry Lemonade', 0.9733551144599915)], [[[335.0, 246.0], [376.0, 246.0], [376.0, 268.0], [335.0, 268.0]], ('3.25', 0.9830420613288879)], [[[2.0, 288.0], [78.0, 288.0], [78.0, 309.0], [2.0, 309.0]], ('Subtotal', 0.9356176257133484)], [[[331.0, 290.0], [380.0, 290.0], [380.0, 312.0], [331.0, 312.0]], ('16.50', 0.9934353828430176)], [[[0.0, 313.0], [32.0, 313.0], [32.0, 333.0], [0.0, 333.0]], ('Tax', 0.9970785975456238)], [[[339.0, 313.0], [381.0, 313.0], [381.0, 336.0], [339.0, 336.0]], ('1.30', 0.987586259841919)], [[[0.0, 358.0], [48.0, 355.0], [50.0, 381.0], [0.0, 384.0]], ('Total', 0.9787918925285339)], [[[335.0, 361.0], [384.0, 361.0], [384.0, 383.0], [335.0, 383.0]], ('17.80', 0.9932309985160828)], [[[0.0, 407.0], [131.0, 405.0], [131.0, 426.0], [0.0, 428.0]], ('Balance', 0.903472900390625)], [[[143.0, 404.0], [200.0, 408.0], [199.0, 427.0], [142.0, 424.0]], ('Due', 0.9947695136070251)], [[[293.0, 410.0], [384.0, 408.0], [384.0, 430.0], [294.0, 432.0]], ('17.80', 0.996616005897522)]]	{"store_name": "TheoldSpaghettiFactory", "store_addr": "", "telephone": "[email protected]", "date": "06/01/2015", "time": "8:15PM", "subtotal": "16.50", "tax": "1.30", "total": "17.80 17.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "#3MeatLover'sTreat", "item_value": "13.25", "item_quantity": "1"}, {"item_key": "", "item_name": "StrawberryLemonade", "item_value": "3.25", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[113.0, 54.0], [212.0, 54.0], [212.0, 67.0], [113.0, 67.0]], ('NIKE Factory Store', 0.9419485926628113)], [[[116.0, 66.0], [212.0, 64.0], [212.0, 78.0], [116.0, 80.0]], ('Drando Vineland', 0.8798333406448364)], [[[74.0, 78.0], [246.0, 77.0], [246.0, 88.0], [74.0, 89.0]], ('8200 V1neland AvenueSu1te 600', 0.911392331123352)], [[[111.0, 89.0], [209.0, 89.0], [209.0, 102.0], [111.0, 102.0]], ('Or1andoFL 32821', 0.9289455413818359)], [[[96.0, 101.0], [232.0, 101.0], [232.0, 115.0], [96.0, 115.0]], ('Telephone407239-3663', 0.9505597352981567)], [[[94.0, 171.0], [230.0, 172.0], [229.0, 186.0], [94.0, 185.0]], ('6/29-7/5_FW_BBALL***', 0.9341089129447937)], [[[40.0, 187.0], [243.0, 187.0], [243.0, 200.0], [40.0, 200.0]], ('884726811061 NIKE AIR RING LEADER', 0.9473850131034851)], [[[255.0, 187.0], [288.0, 187.0], [288.0, 201.0], [255.0, 201.0]], ('49.99', 0.9673059582710266)], [[[51.0, 202.0], [109.0, 202.0], [109.0, 216.0], [51.0, 216.0]], ('Discount:', 0.9865840077400208)], [[[253.0, 202.0], [289.0, 202.0], [289.0, 216.0], [253.0, 216.0]], ('-20.00', 0.9755764007568359)], [[[44.0, 215.0], [114.0, 217.0], [114.0, 231.0], [44.0, 229.0]], ('Final Price', 0.910447359085083)], [[[252.0, 216.0], [289.0, 216.0], [289.0, 230.0], [252.0, 230.0]], ('29.99T', 0.9626684784889221)], [[[39.0, 231.0], [168.0, 230.0], [168.0, 244.0], [39.0, 245.0]], ('Package Price29.99', 0.9482733607292175)], [[[81.0, 246.0], [250.0, 246.0], [250.0, 259.0], [81.0, 259.0]], ('End of Group Promoticn', 0.9199780821800232)], [[[36.0, 277.0], [88.0, 277.0], [88.0, 291.0], [36.0, 291.0]], ('Subtotal', 0.982489287853241)], [[[258.0, 274.0], [299.0, 274.0], [299.0, 289.0], [258.0, 289.0]], ('$29.99', 0.9824142456054688)], [[[34.0, 293.0], [59.0, 293.0], [59.0, 308.0], [34.0, 308.0]], ('Tax', 0.963517427444458)], [[[270.0, 290.0], [301.0, 290.0], [301.0, 305.0], [270.0, 305.0]], ('1.95', 0.9946185350418091)], [[[326.0, 290.0], [334.0, 290.0], [334.0, 301.0], [326.0, 301.0]], (')', 0.6227991580963135)], [[[34.0, 309.0], [67.0, 309.0], [67.0, 324.0], [34.0, 324.0]], ('Total', 0.9923354387283325)], [[[261.0, 307.0], [302.0, 307.0], [302.0, 321.0], [261.0, 321.0]], ('$31.94', 0.9945396780967712)], [[[83.0, 344.0], [246.0, 342.0], [246.0, 357.0], [83.0, 358.0]], ('Number of ItemsSold1', 0.9349350929260254)], [[[69.0, 361.0], [261.0, 359.0], [261.0, 375.0], [69.0, 377.0]], ('Number of Itea(s Returned:0', 0.8998990654945374)], [[[95.0, 379.0], [243.0, 380.0], [243.0, 394.0], [95.0, 393.0]], ('You Saved $20.00 today', 0.9593784213066101)], [[[23.0, 418.0], [97.0, 416.0], [97.0, 433.0], [23.0, 435.0]], ('MasterCard', 0.9898146390914917)], [[[271.0, 416.0], [315.0, 416.0], [315.0, 431.0], [271.0, 431.0]], ('$31.94', 0.9882270693778992)], [[[38.0, 438.0], [90.0, 438.0], [90.0, 449.0], [38.0, 449.0]], ('Card No', 0.9480876922607422)], [[[100.0, 435.0], [231.0, 435.0], [231.0, 449.0], [100.0, 449.0]], ('XXXXXXXXXXXX4511<D>', 0.7518160939216614)]]	{"store_name": "NIKEFactoryStore", "store_addr": "OrlandoVineland 8200VinelandAvenue,Suite600 Orlando,FL32821", "telephone": "(407)239-3663", "date": "", "time": "", "subtotal": "29.99 $29.99", "tax": "1.95", "total": "$31.94 $31.94", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "884726811061NIKEAIRRINGLEADER", "item_value": "49.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[133.0, 0.0], [286.0, 0.0], [286.0, 27.0], [133.0, 27.0]], ('DOPL', 0.7126278877258301)], [[[819.0, 76.0], [913.0, 71.0], [916.0, 121.0], [822.0, 126.0]], ('7.56', 0.9840319752693176)], [[[91.0, 119.0], [312.0, 106.0], [314.0, 148.0], [94.0, 161.0]], ('SUBTOTAL =>', 0.9370058178901672)], [[[821.0, 129.0], [915.0, 124.0], [918.0, 174.0], [823.0, 179.0]], ('0.43', 0.9950132369995117)], [[[376.0, 152.0], [726.0, 136.0], [729.0, 179.0], [378.0, 196.0]], ('7.16 6.0000% Tax', 0.9444353580474854)], [[[91.0, 166.0], [222.0, 159.0], [224.0, 208.0], [94.0, 214.0]], ('Txb11', 0.9407577514648438)], [[[708.0, 239.0], [913.0, 228.0], [916.0, 274.0], [711.0, 286.0]], ('$7.99', 0.9962536692619324)], [[[100.0, 267.0], [501.0, 248.0], [504.0, 293.0], [102.0, 312.0]], ('TOTAL SALE', 0.9476353526115417)], [[[831.0, 332.0], [924.0, 328.0], [926.0, 378.0], [834.0, 382.0]], ('7.99', 0.9921529293060303)], [[[102.0, 363.0], [191.0, 363.0], [191.0, 413.0], [102.0, 413.0]], ('VISA', 0.9985069632530212)], [[[141.0, 417.0], [592.0, 396.0], [594.0, 436.0], [143.0, 457.0]], ('Merch ID: 67044970085', 0.9540513157844543)], [[[146.0, 467.0], [716.0, 443.0], [718.0, 483.0], [148.0, 507.0]], ('Card Ho1der: MASAYO TAKAHATA', 0.9270452857017517)], [[[148.0, 517.0], [737.0, 495.0], [739.0, 535.0], [149.0, 557.0]], ('Card Number:**********8797', 0.9625806212425232)], [[[147.0, 566.0], [455.0, 549.0], [458.0, 594.0], [150.0, 611.0]], ('Exp Date:/**', 0.9214116334915161)], [[[149.0, 617.0], [376.0, 608.0], [377.0, 648.0], [151.0, 657.0]], ('Card:Visa', 0.9656241536140442)], [[[153.0, 667.0], [578.0, 649.0], [580.0, 689.0], [155.0, 707.0]], ('Approva1 Code:061626', 0.9532634615898132)], [[[149.0, 714.0], [459.0, 701.0], [461.0, 746.0], [151.0, 759.0]], ('Ref Num:100874', 0.9348150491714478)], [[[768.0, 791.0], [939.0, 783.0], [942.0, 831.0], [770.0, 839.0]], ('0.00', 0.9964013695716858)], [[[109.0, 814.0], [356.0, 810.0], [356.0, 855.0], [110.0, 859.0]], ('Change', 0.9970435500144958)], [[[112.0, 917.0], [587.0, 901.0], [589.0, 941.0], [113.0, 957.0]], ('Number of Items Sold:5', 0.915431022644043)], [[[110.0, 1017.0], [947.0, 990.0], [948.0, 1035.0], [112.0, 1062.0]], ('I agree to pay the above total amount', 0.9347258806228638)], [[[112.0, 1070.0], [945.0, 1045.0], [946.0, 1085.0], [113.0, 1110.0]], ('according to the card issuer agreement.', 0.9617327451705933)], [[[136.0, 1120.0], [928.0, 1096.0], [929.0, 1136.0], [137.0, 1160.0]], ('(Merchant Agreement If Credit Voucher)', 0.9429570436477661)], [[[109.0, 1220.0], [222.0, 1220.0], [222.0, 1263.0], [109.0, 1263.0]], ('Karen', 0.9977239370346069)], [[[409.0, 1214.0], [957.0, 1196.0], [958.0, 1236.0], [410.0, 1254.0]], ('#8548244 08/11/101:35PM', 0.9663571715354919)], [[[109.0, 1272.0], [368.0, 1266.0], [368.0, 1308.0], [110.0, 1314.0]], ('Drwr#1 Reg#', 0.9517951607704163)], [[[426.0, 1265.0], [853.0, 1255.0], [854.0, 1295.0], [427.0, 1305.0]], ('3 Salesperson: Karen', 0.9412254095077515)], [[[600.0, 1318.0], [849.0, 1318.0], [849.0, 1437.0], [600.0, 1437.0]], ('M', 0.500477135181427)], [[[327.0, 1527.0], [754.0, 1518.0], [755.0, 1563.0], [328.0, 1572.0]], ('Authorized Signature', 0.9882134199142456)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "08/11/10", "time": "1:35PM", "subtotal": "7.56", "tax": "0.43", "total": "$7.99 7.99", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[192.0, 180.0], [579.0, 198.0], [576.0, 260.0], [189.0, 242.0]], ('GUCCI', 0.9879704713821411)], [[[328.0, 269.0], [448.0, 273.0], [447.0, 293.0], [327.0, 289.0]], ('King of Prussia', 0.9397128224372864)], [[[303.0, 286.0], [470.0, 292.0], [469.0, 309.0], [303.0, 303.0]], ('350 Ha11 B1vd# 3002', 0.8684920072555542)], [[[288.0, 302.0], [477.0, 309.0], [476.0, 327.0], [288.0, 320.0]], ('King of Prussia PA 19406', 0.9187397956848145)], [[[311.0, 320.0], [455.0, 325.0], [454.0, 342.0], [311.0, 337.0]], ('tel 610) 337-4130', 0.8874650001525879)], [[[158.0, 347.0], [274.0, 350.0], [273.0, 370.0], [157.0, 367.0]], ('Trans #18845', 0.9519898891448975)], [[[343.0, 354.0], [515.0, 359.0], [515.0, 377.0], [342.0, 372.0]], ('Date:6/26/17 20:15:09', 0.9306628108024597)], [[[159.0, 367.0], [257.0, 369.0], [256.0, 387.0], [158.0, 385.0]], ('Store:23012', 0.9364299774169922)], [[[343.0, 372.0], [432.0, 376.0], [431.0, 394.0], [342.0, 390.0]], ('Register:2', 0.9692932963371277)], [[[159.0, 385.0], [287.0, 387.0], [287.0, 405.0], [158.0, 403.0]], ('Cashier:1050391', 0.9722961783409119)], [[[159.0, 402.0], [311.0, 406.0], [311.0, 424.0], [158.0, 420.0]], ('Custoner:Tiffany ', 0.9490832090377808)], [[[158.0, 420.0], [375.0, 424.0], [374.0, 442.0], [157.0, 438.0]], ('Custaner ID:23012002004916', 0.9414604902267456)], [[[159.0, 455.0], [194.0, 455.0], [194.0, 474.0], [159.0, 474.0]], ('ITEN', 0.8798583149909973)], [[[270.0, 453.0], [304.0, 456.0], [302.0, 481.0], [268.0, 479.0]], ('QTY.', 0.921682596206665)], [[[404.0, 460.0], [446.0, 460.0], [446.0, 478.0], [404.0, 478.0]], ('PRICE', 0.9982936978340149)], [[[166.0, 471.0], [241.0, 473.0], [241.0, 491.0], [165.0, 489.0]], ('807108448', 0.9969959259033203)], [[[489.0, 463.0], [566.0, 463.0], [566.0, 480.0], [489.0, 480.0]], ('AMOUNT USD', 0.9608446359634399)], [[[391.0, 474.0], [453.0, 477.0], [452.0, 496.0], [389.0, 493.0]], ('1,590.00', 0.9474142789840698)], [[[513.0, 479.0], [573.0, 479.0], [573.0, 497.0], [513.0, 497.0]], ('1,590.00', 0.9535411596298218)], [[[167.0, 489.0], [266.0, 492.0], [265.0, 510.0], [166.0, 507.0]], ('100 HANDBAGS', 0.9543729424476624)], [[[293.0, 490.0], [551.0, 495.0], [551.0, 515.0], [293.0, 510.0]], ('86//B0R 421970KHNRN-8698-NA', 0.9454033374786377)], [[[166.0, 507.0], [419.0, 511.0], [419.0, 529.0], [165.0, 525.0]], ('Salesperson:1050391 (Qunheuane)', 0.9279072880744934)], [[[404.0, 596.0], [465.0, 596.0], [465.0, 614.0], [404.0, 614.0]], ('Subtotal', 0.991935133934021)], [[[512.0, 596.0], [572.0, 596.0], [572.0, 614.0], [512.0, 614.0]], ('1.590.00', 0.960547924041748)], [[[441.0, 615.0], [468.0, 615.0], [468.0, 633.0], [441.0, 633.0]], ('Tax', 0.9942340850830078)], [[[532.0, 613.0], [573.0, 613.0], [573.0, 632.0], [532.0, 632.0]], ('95.40', 0.9952037930488586)], [[[397.0, 647.0], [472.0, 647.0], [472.0, 665.0], [397.0, 665.0]], ('Total(USD)', 0.9579049348831177)], [[[510.0, 646.0], [574.0, 646.0], [574.0, 667.0], [510.0, 667.0]], ('1,685.40', 0.9128091335296631)], [[[162.0, 681.0], [248.0, 679.0], [249.0, 700.0], [163.0, 702.0]], ('Debit Card', 0.983853816986084)], [[[454.0, 680.0], [483.0, 680.0], [483.0, 700.0], [454.0, 700.0]], ('USD', 0.9960389137268066)], [[[511.0, 681.0], [572.0, 681.0], [572.0, 699.0], [511.0, 699.0]], ('1,550.00', 0.9545144438743591)], [[[234.0, 700.0], [381.0, 698.0], [382.0, 715.0], [234.0, 717.0]], ('TRANSACTION RECORD', 0.9775246381759644)], [[[153.0, 750.0], [286.0, 747.0], [287.0, 768.0], [154.0, 771.0]], ('STORE#23012', 0.9544769525527954)], [[[346.0, 747.0], [406.0, 747.0], [406.0, 768.0], [346.0, 768.0]], ('REG#2', 0.909107506275177)], [[[155.0, 770.0], [293.0, 768.0], [293.0, 785.0], [156.0, 787.0]], ('INUOICE#884504', 0.9547854065895081)], [[[155.0, 787.0], [309.0, 787.0], [309.0, 804.0], [155.0, 804.0]], ('MERCHANT#07325202', 0.9626448154449463)], [[[155.0, 803.0], [295.0, 803.0], [295.0, 823.0], [155.0, 823.0]], ('TERNINAL#073252', 0.9595397710800171)], [[[203.0, 839.0], [363.0, 838.0], [364.0, 856.0], [203.0, 857.0]], ('DiRECT PAYMENT *', 0.8662400245666504)], [[[155.0, 892.0], [244.0, 892.0], [244.0, 910.0], [155.0, 910.0]], ('TYPE:Sale', 0.918452262878418)], [[[155.0, 909.0], [243.0, 909.0], [243.0, 927.0], [155.0, 927.0]], ('DEBITVISA', 0.9274737238883972)], [[[369.0, 905.0], [435.0, 902.0], [437.0, 925.0], [370.0, 928.0]], ('INSERTED', 0.9975619316101074)], [[[211.0, 943.0], [277.0, 943.0], [277.0, 959.0], [211.0, 959.0]], ('US DEBIT', 0.9121043682098389)]]	{"store_name": "GUCCI", "store_addr": "350MallBivd.#3002 KingofPrussiaPA19406", "telephone": "(610)337-4130", "date": "6/26/17", "time": "20:15:09", "subtotal": "1,590.00", "tax": "95.40", "total": "1,685.40", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "100HANDBAGS", "item_value": "1,590.00", "item_quantity": "1"}, {"item_key": "", "item_name": "421970KHNRN-8698-NA", "item_value": "", "item_quantity": ""}, {"item_key": "ITEM", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[0.0, 18.0], [229.0, 6.0], [230.0, 24.0], [0.0, 36.0]], ('format allows iof an e', 0.8892896771430969)], [[[0.0, 93.0], [50.0, 84.0], [54.0, 108.0], [0.0, 117.0]], ('expla', 0.9797368049621582)], [[[0.0, 118.0], [47.0, 118.0], [47.0, 141.0], [0.0, 141.0]], ('bool', 0.991969108581543)], [[[0.0, 144.0], [51.0, 141.0], [53.0, 163.0], [0.0, 166.0]], ('ter a', 0.9709802865982056)], [[[189.0, 145.0], [352.0, 136.0], [353.0, 158.0], [191.0, 167.0]], ('IKANO Pte Ltd ', 0.9084441065788269)], [[[340.0, 137.0], [450.0, 130.0], [451.0, 152.0], [342.0, 159.0]], ('993619-K', 0.9731361865997314)], [[[0.0, 169.0], [50.0, 165.0], [52.0, 189.0], [0.0, 193.0]], ('orgar', 0.875603199005127)], [[[108.0, 187.0], [339.0, 179.0], [340.0, 208.0], [109.0, 216.0]], ('Date18/12/10 18:21', 0.9200819730758667)], [[[351.0, 179.0], [540.0, 165.0], [542.0, 190.0], [353.0, 204.0]], ('Slip: 0220339087', 0.9307071566581726)], [[[0.0, 200.0], [50.0, 195.0], [52.0, 217.0], [0.0, 221.0]], ('semm', 0.6205402612686157)], [[[112.0, 212.0], [254.0, 212.0], [254.0, 234.0], [112.0, 234.0]], ('Staff:Yasain', 0.897938072681427)], [[[354.0, 203.0], [544.0, 188.0], [546.0, 213.0], [356.0, 228.0]], ('Trans:122331119', 0.9635409712791443)], [[[623.0, 206.0], [672.0, 206.0], [672.0, 240.0], [623.0, 240.0]], ('ED', 0.9916690587997437)], [[[0.0, 226.0], [44.0, 226.0], [44.0, 249.0], [0.0, 249.0]], ('basi', 0.862040102481842)], [[[443.0, 241.0], [512.0, 236.0], [514.0, 263.0], [445.0, 268.0]], ('Amount', 0.997744619846344)], [[[0.0, 252.0], [49.0, 252.0], [49.0, 279.0], [0.0, 279.0]], ('ard ', 0.8694596886634827)], [[[108.0, 258.0], [231.0, 254.0], [231.0, 280.0], [109.0, 284.0]], ('Description', 0.9960741400718689)], [[[627.0, 250.0], [679.0, 250.0], [679.0, 284.0], [627.0, 284.0]], ('3R', 0.9622468948364258)], [[[0.0, 282.0], [46.0, 282.0], [46.0, 305.0], [0.0, 305.0]], ('exan', 0.972760796546936)], [[[455.0, 287.0], [517.0, 280.0], [520.0, 306.0], [458.0, 313.0]], ('59.90', 0.9948388934135437)], [[[3.0, 311.0], [45.0, 308.0], [46.0, 331.0], [4.0, 334.0]], ('on,', 0.9567845463752747)], [[[108.0, 303.0], [370.0, 293.0], [371.0, 317.0], [109.0, 327.0]], ('70171531BIBBISQC/2P15', 0.9277253150939941)], [[[456.0, 310.0], [518.0, 305.0], [521.0, 332.0], [459.0, 337.0]], ('45.00', 0.9953621029853821)], [[[534.0, 306.0], [550.0, 304.0], [554.0, 327.0], [537.0, 329.0]], ('M', 0.993771493434906)], [[[109.0, 326.0], [373.0, 316.0], [374.0, 340.0], [110.0, 350.0]], ('10173651 MYSA STRA QLTW', 0.9046992659568787)], [[[106.0, 349.0], [416.0, 337.0], [417.0, 362.0], [107.0, 374.0]], ('90134019 GNARP KITCHEN UT S5', 0.9381893277168274)], [[[458.0, 357.0], [521.0, 353.0], [523.0, 379.0], [459.0, 383.0]], ('23.80', 0.9835343360900879)], [[[140.0, 373.0], [264.0, 368.0], [264.0, 390.0], [141.0, 395.0]], ('2pC @11.90', 0.9180719256401062)], [[[470.0, 379.0], [523.0, 379.0], [523.0, 406.0], [470.0, 406.0]], ('7.50', 0.993201732635498)], [[[106.0, 397.0], [372.0, 387.0], [373.0, 411.0], [107.0, 421.0]], ('60179815 RAJTAN SPICEJAR', 0.9601109623908997)], [[[471.0, 404.0], [524.0, 404.0], [524.0, 432.0], [471.0, 432.0]], ('9.90', 0.9913620352745056)], [[[543.0, 405.0], [558.0, 405.0], [558.0, 427.0], [543.0, 427.0]], ('M', 0.9934200644493103)], [[[109.0, 422.0], [371.0, 412.0], [372.0, 436.0], [110.0, 446.0]], ('10134004 BEVARA SEAL CLI', 0.9377533793449402)], [[[463.0, 433.0], [524.0, 429.0], [526.0, 456.0], [465.0, 460.0]], ('12.90', 0.9918115735054016)], [[[544.0, 431.0], [558.0, 431.0], [558.0, 451.0], [544.0, 451.0]], ('M', 0.9578164219856262)], [[[2.0, 448.0], [42.0, 448.0], [42.0, 477.0], [2.0, 477.0]], ('MD', 0.7927271127700806)], [[[108.0, 446.0], [373.0, 436.0], [374.0, 461.0], [109.0, 471.0]], ('10176975 JAMKA JARW LID', 0.9244891405105591)], [[[464.0, 458.0], [525.0, 455.0], [527.0, 481.0], [465.0, 484.0]], ('19.90', 0.9932069778442383)], [[[106.0, 471.0], [374.0, 461.0], [375.0, 486.0], [107.0, 496.0]], ('50196702 PYSSLIG SCRAPBO', 0.9373089671134949)], [[[474.0, 483.0], [526.0, 480.0], [528.0, 507.0], [475.0, 510.0]], ('0.20', 0.9935736656188965)], [[[105.0, 496.0], [374.0, 487.0], [375.0, 512.0], [106.0, 521.0]], ('L7S40001 L PLASTIC BAG', 0.9218505620956421)], [[[455.0, 532.0], [530.0, 529.0], [531.0, 558.0], [456.0, 561.0]], ('179.10', 0.9951117038726807)], [[[106.0, 543.0], [200.0, 539.0], [201.0, 565.0], [107.0, 569.0]], ('Total RM', 0.911291778087616)], [[[476.0, 559.0], [529.0, 556.0], [531.0, 583.0], [477.0, 586.0]], ('0.00', 0.9954050779342651)], [[[104.0, 570.0], [247.0, 565.0], [247.0, 590.0], [105.0, 595.0]], ('Rounding Adj', 0.9538336396217346)], [[[458.0, 585.0], [531.0, 582.0], [532.0, 612.0], [459.0, 615.0]], ('179.10', 0.9948902130126953)], [[[105.0, 596.0], [256.0, 591.0], [257.0, 616.0], [106.0, 621.0]], ('Total Rounded', 0.9520281553268433)], [[[103.0, 644.0], [157.0, 644.0], [157.0, 672.0], [103.0, 672.0]], ('Cash', 0.9953563213348389)], [[[450.0, 638.0], [534.0, 635.0], [535.0, 662.0], [451.0, 665.0]], ('-200.10', 0.9478321075439453)], [[[105.0, 672.0], [178.0, 672.0], [178.0, 699.0], [105.0, 699.0]], ('Change', 0.9977145791053772)], [[[470.0, 664.0], [536.0, 664.0], [536.0, 694.0], [470.0, 694.0]], ('21.00', 0.9755955934524536)], [[[105.0, 747.0], [244.0, 742.0], [245.0, 771.0], [106.0, 775.0]], ('No.of Items', 0.9189357757568359)], [[[522.0, 745.0], [538.0, 745.0], [538.0, 770.0], [522.0, 770.0]], ('9', 0.6880619525909424)], [[[156.0, 819.0], [526.0, 822.0], [526.0, 847.0], [155.0, 844.0]], ('Store closes at 11pm in Dec 2010', 0.9349147081375122)], [[[171.0, 845.0], [500.0, 851.0], [499.0, 876.0], [170.0, 870.0]], ('Thank you.Please come again', 0.9514572024345398)], [[[220.0, 945.0], [509.0, 953.0], [509.0, 975.0], [219.0, 966.0]], ('*122331119', 0.9592591524124146)]]	{"store_name": "IKANOPteLtd(993619-K)", "store_addr": "", "telephone": "", "date": "18/12/10", "time": "18:21", "subtotal": "", "tax": "", "total": "179.10 179.10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BIBBISQC/2P15", "item_value": "59.90", "item_quantity": "1"}, {"item_key": "", "item_name": "MYSASTRAQLTW", "item_value": "45.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GNARPKITCHENUTS5", "item_value": "23.80", "item_quantity": "1"}, {"item_key": "", "item_name": "RAJTANSPICEJAR", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BEVARASEALCLI", "item_value": "9.90", "item_quantity": "1"}, {"item_key": "", "item_name": "JAMKAJARWLID", "item_value": "12.90", "item_quantity": "1"}, {"item_key": "", "item_name": "PYSSLIGSCRAPBO", "item_value": "19.90", "item_quantity": "1"}, {"item_key": "", "item_name": "(L)PLASTICBAG", "item_value": "0.20", "item_quantity": "1"}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[98.0, 18.0], [245.0, 22.0], [245.0, 39.0], [98.0, 35.0]], ('30.rue de la Republique', 0.9095834493637085)], [[[127.0, 36.0], [208.0, 38.0], [208.0, 52.0], [127.0, 50.0]], ('68140 MUNSTER', 0.9383032321929932)], [[[111.0, 49.0], [233.0, 53.0], [232.0, 71.0], [110.0, 66.0]], ('Tel0389 7751 93', 0.9112275242805481)], [[[85.0, 79.0], [243.0, 86.0], [243.0, 103.0], [84.0, 96.0]], ('Date13/02/201720:53', 0.9751592874526978)], [[[77.0, 96.0], [207.0, 103.0], [206.0, 127.0], [75.0, 120.0]], ('TableN20 Cowverts6', 0.8954564332962036)], [[[47.0, 132.0], [70.0, 135.0], [68.0, 151.0], [45.0, 148.0]], ('Qte', 0.8965868949890137)], [[[87.0, 135.0], [165.0, 140.0], [164.0, 157.0], [86.0, 152.0]], ('Designation', 0.993532121181488)], [[[176.0, 139.0], [289.0, 143.0], [289.0, 160.0], [176.0, 157.0]], ('Px Unit Total TTC', 0.9226572513580322)], [[[63.0, 167.0], [185.0, 173.0], [184.0, 187.0], [62.0, 181.0]], ('1 BT Biere Artisanal', 0.9180319905281067)], [[[200.0, 173.0], [228.0, 173.0], [228.0, 188.0], [200.0, 188.0]], ('4,90', 0.921960711479187)], [[[246.0, 175.0], [277.0, 175.0], [277.0, 190.0], [246.0, 190.0]], ('4,90', 0.9226152300834656)], [[[62.0, 185.0], [71.0, 185.0], [71.0, 196.0], [62.0, 196.0]], ('6', 0.9712632298469543)], [[[59.0, 197.0], [168.0, 202.0], [168.0, 219.0], [58.0, 214.0]], ('1 Aperitif maison', 0.9426547884941101)], [[[201.0, 189.0], [229.0, 189.0], [229.0, 204.0], [201.0, 204.0]], ('4.90', 0.8862913250923157)], [[[241.0, 189.0], [276.0, 191.0], [275.0, 206.0], [240.0, 204.0]], ('29.40', 0.9422165155410767)], [[[200.0, 203.0], [229.0, 205.0], [228.0, 221.0], [198.0, 219.0]], ('4,90', 0.9435168504714966)], [[[60.0, 214.0], [166.0, 218.0], [166.0, 234.0], [59.0, 230.0]], ('1 Truite papiotte', 0.9471547603607178)], [[[245.0, 207.0], [276.0, 207.0], [276.0, 222.0], [245.0, 222.0]], ('4.90', 0.9047906994819641)], [[[195.0, 218.0], [228.0, 220.0], [227.0, 236.0], [194.0, 234.0]], ('16,50', 0.8994741439819336)], [[[241.0, 221.0], [274.0, 223.0], [273.0, 238.0], [240.0, 236.0]], ('16.50', 0.9091624021530151)], [[[58.0, 231.0], [178.0, 235.0], [177.0, 249.0], [57.0, 245.0]], ('3 CHOUCROUTE ROYALE', 0.9412784576416016)], [[[57.0, 245.0], [150.0, 249.0], [149.0, 266.0], [56.0, 262.0]], ('1 Tourte de la', 0.9362124800682068)], [[[195.0, 236.0], [228.0, 236.0], [228.0, 251.0], [195.0, 251.0]], ('19.90', 0.9213629961013794)], [[[240.0, 238.0], [274.0, 238.0], [274.0, 253.0], [240.0, 253.0]], ('5970', 0.9972885847091675)], [[[193.0, 250.0], [228.0, 250.0], [228.0, 268.0], [193.0, 268.0]], ('14,50', 0.9004673957824707)], [[[241.0, 252.0], [273.0, 254.0], [272.0, 270.0], [240.0, 267.0]], ('14,50', 0.9072124361991882)], [[[69.0, 262.0], [112.0, 264.0], [111.0, 282.0], [68.0, 279.0]], ('vallee', 0.9958162903785706)], [[[193.0, 283.0], [225.0, 283.0], [225.0, 298.0], [193.0, 298.0]], ('15.90', 0.8997093439102173)], [[[240.0, 284.0], [271.0, 284.0], [271.0, 299.0], [240.0, 299.0]], ('15.90', 0.8932504653930664)], [[[55.0, 295.0], [169.0, 298.0], [169.0, 316.0], [55.0, 312.0]], ('1 Coupe de cremant', 0.9417862296104431)], [[[195.0, 299.0], [224.0, 299.0], [224.0, 314.0], [195.0, 314.0]], ('4,40', 0.87317955493927)], [[[242.0, 299.0], [270.0, 299.0], [270.0, 314.0], [242.0, 314.0]], ('4.40', 0.9376710653305054)], [[[57.0, 314.0], [65.0, 316.0], [62.0, 327.0], [54.0, 325.0]], ('1', 0.9164732694625854)], [[[195.0, 314.0], [224.0, 314.0], [224.0, 330.0], [195.0, 330.0]], ('3,20', 0.8485404849052429)], [[[242.0, 314.0], [268.0, 314.0], [268.0, 330.0], [242.0, 330.0]], ('3,20', 0.8865902423858643)], [[[27.0, 365.0], [167.0, 361.0], [167.0, 386.0], [27.0, 389.0]], ('NET TTC EUR', 0.9413790106773376)], [[[199.0, 360.0], [268.0, 356.0], [269.0, 380.0], [201.0, 384.0]], ('153,40', 0.8349089622497559)], [[[235.0, 380.0], [262.0, 380.0], [262.0, 395.0], [235.0, 395.0]], ('7,80', 0.9377647042274475)], [[[26.0, 391.0], [53.0, 391.0], [53.0, 406.0], [26.0, 406.0]], ('H.T.', 0.9803991317749023)], [[[77.0, 390.0], [185.0, 384.0], [186.0, 399.0], [77.0, 404.0]], ('3900 x TVA a 20%', 0.8097988367080688)], [[[231.0, 394.0], [258.0, 391.0], [260.0, 405.0], [232.0, 408.0]], ("69'6", 0.9302407503128052)], [[[25.0, 406.0], [53.0, 406.0], [53.0, 421.0], [25.0, 421.0]], ('H.T.', 0.895649790763855)], [[[77.0, 405.0], [186.0, 399.0], [187.0, 413.0], [77.0, 419.0]], ('96.91 x TVA a 10', 0.8297324776649475)], [[[221.0, 406.0], [256.0, 403.0], [257.0, 419.0], [222.0, 421.0]], ('135.91', 0.8862318992614746)], [[[88.0, 418.0], [151.0, 414.0], [152.0, 428.0], [89.0, 432.0]], ('Total HI', 0.8329322934150696)]]	{"store_name": "", "store_addr": "68140 MUNSTER ruedelaRepublique 30,", "telephone": "0389775193", "date": "13/02/2017", "time": "20:53", "subtotal": "153.40", "tax": "9.69 7.80", "total": "135.91", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Coupedecremant", "item_value": "3.20", "item_quantity": "1"}, {"item_key": "", "item_name": "vallee", "item_value": "4.40", "item_quantity": "1"}, {"item_key": "", "item_name": "Tourtedela", "item_value": "15.90", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOUCROUTEROYALE", "item_value": "14.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TruItepapiotte", "item_value": "59.70", "item_quantity": "1"}, {"item_key": "", "item_name": "Aperitifmaison", "item_value": "16.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BTBiereArtisanal", "item_value": "4.90", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "29.40", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "4.90", "item_quantity": "1"}, {"item_key": "Designation", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[960.0, 425.0], [1436.0, 425.0], [1436.0, 517.0], [960.0, 517.0]], ('Berghotel', 0.942753791809082)], [[[802.0, 513.0], [1642.0, 535.0], [1639.0, 630.0], [799.0, 608.0]], ('Grosse Scheidegg', 0.9793151617050171)], [[[911.0, 626.0], [1478.0, 626.0], [1478.0, 694.0], [911.0, 694.0]], ('3818 Grindelwald', 0.9451229572296143)], [[[908.0, 721.0], [1474.0, 721.0], [1474.0, 792.0], [908.0, 792.0]], ('Familie R.Muller', 0.9500605463981628)], [[[376.0, 918.0], [838.0, 918.0], [838.0, 989.0], [376.0, 989.0]], ('Rech.Nr. 4572', 0.9389264583587646)], [[[1231.0, 921.0], [1892.0, 921.0], [1892.0, 989.0], [1231.0, 989.0]], ('30.07.2007/13:29:17', 0.9642814993858337)], [[[370.0, 1005.0], [492.0, 1014.0], [485.0, 1099.0], [364.0, 1090.0]], ('Bar', 0.9962883591651917)], [[[1471.0, 1013.0], [1707.0, 1013.0], [1707.0, 1098.0], [1471.0, 1098.0]], ('Tisch', 0.9929564595222473)], [[[1735.0, 1020.0], [1895.0, 1020.0], [1895.0, 1095.0], [1735.0, 1095.0]], ('7/01', 0.9976854920387268)], [[[414.0, 1217.0], [1015.0, 1217.0], [1015.0, 1285.0], [414.0, 1285.0]], ('2xLatte Macchiato', 0.9602426886558533)], [[[1252.0, 1214.0], [1415.0, 1214.0], [1415.0, 1292.0], [1252.0, 1292.0]], ('4.50', 0.9923433065414429)], [[[1474.0, 1217.0], [1582.0, 1217.0], [1582.0, 1289.0], [1474.0, 1289.0]], ('CHF', 0.982818603515625)], [[[1714.0, 1217.0], [1871.0, 1217.0], [1871.0, 1292.0], [1714.0, 1292.0]], ('9.00', 0.9971588850021362)], [[[417.0, 1312.0], [661.0, 1312.0], [661.0, 1387.0], [417.0, 1387.0]], ('1xGloki', 0.8613137006759644)], [[[1252.0, 1309.0], [1415.0, 1309.0], [1415.0, 1387.0], [1252.0, 1387.0]], ('5.00', 0.9969438314437866)], [[[1471.0, 1312.0], [1586.0, 1312.0], [1586.0, 1387.0], [1471.0, 1387.0]], ('CHF', 0.9919632077217102)], [[[1711.0, 1309.0], [1871.0, 1309.0], [1871.0, 1387.0], [1711.0, 1387.0]], ('5.00', 0.9965156316757202)], [[[421.0, 1411.0], [1054.0, 1411.0], [1054.0, 1479.0], [421.0, 1479.0]], ('1xSchweinschnitzel', 0.994469404220581)], [[[1224.0, 1408.0], [1415.0, 1408.0], [1415.0, 1482.0], [1224.0, 1482.0]], ('22.00', 0.996557354927063)], [[[1120.0, 1418.0], [1161.0, 1418.0], [1161.0, 1469.0], [1120.0, 1469.0]], ('a', 0.9785782694816589)], [[[1474.0, 1411.0], [1586.0, 1411.0], [1586.0, 1479.0], [1474.0, 1479.0]], ('CHF', 0.9916324019432068)], [[[1683.0, 1411.0], [1871.0, 1411.0], [1871.0, 1482.0], [1683.0, 1482.0]], ('22.00', 0.9959800839424133)], [[[418.0, 1502.0], [873.0, 1510.0], [872.0, 1581.0], [417.0, 1574.0]], ('1xChasspatzli', 0.9876856207847595)], [[[1227.0, 1503.0], [1415.0, 1503.0], [1415.0, 1578.0], [1227.0, 1578.0]], ('18.50', 0.99640953540802)], [[[1474.0, 1506.0], [1586.0, 1506.0], [1586.0, 1574.0], [1474.0, 1574.0]], ('CHF', 0.9945189356803894)], [[[1693.0, 1503.0], [1871.0, 1503.0], [1871.0, 1581.0], [1693.0, 1581.0]], ('18.50', 0.9965353012084961)], [[[1123.0, 1513.0], [1172.0, 1513.0], [1172.0, 1571.0], [1123.0, 1571.0]], ('a', 0.9786846041679382)], [[[1540.0, 1693.0], [1819.0, 1693.0], [1819.0, 1792.0], [1540.0, 1792.0]], ('54.50', 0.9589678049087524)], [[[838.0, 1714.0], [1099.0, 1714.0], [1099.0, 1788.0], [838.0, 1788.0]], ('Total:', 0.9451801776885986)], [[[1224.0, 1707.0], [1346.0, 1707.0], [1346.0, 1788.0], [1224.0, 1788.0]], ('CHF', 0.9901469349861145)], [[[1509.0, 1897.0], [1673.0, 1897.0], [1673.0, 1986.0], [1509.0, 1986.0]], ('3.85', 0.9937853813171387)], [[[376.0, 1911.0], [1019.0, 1911.0], [1019.0, 1979.0], [376.0, 1979.0]], ('Incl.7.6%MwSt', 0.9407592415809631)], [[[1012.0, 1907.0], [1377.0, 1907.0], [1377.0, 1979.0], [1012.0, 1979.0]], ('54.50CHF', 0.9898144006729126)], [[[372.0, 2118.0], [1144.0, 2118.0], [1144.0, 2186.0], [372.0, 2186.0]], ('Entspricht in Euro ', 0.9516425728797913)], [[[1116.0, 2111.0], [1488.0, 2111.0], [1488.0, 2183.0], [1116.0, 2183.0]], ('36.33EUR', 0.9919662475585938)], [[[369.0, 2213.0], [1196.0, 2213.0], [1196.0, 2285.0], [369.0, 2285.0]], ('Es bediente Sie: Ursula', 0.9430578351020813)], [[[907.0, 2418.0], [1526.0, 2410.0], [1527.0, 2482.0], [908.0, 2489.0]], ('MwSt Nr.430234', 0.943972647190094)], [[[845.0, 2519.0], [1530.0, 2519.0], [1530.0, 2591.0], [845.0, 2591.0]], ('Te1.:0338536716', 0.9364647269248962)], [[[838.0, 2618.0], [1530.0, 2614.0], [1530.0, 2686.0], [838.0, 2690.0]], ('Fax.:0338536719', 0.9532555341720581)], [[[473.0, 2717.0], [1704.0, 2710.0], [1704.0, 2791.0], [473.0, 2798.0]], ('E-mail: [email protected]', 0.9597361087799072)]]	{"store_name": "Berghotel GrosseScheidegg", "store_addr": "3818Grindelwald FamilieR.M\u00fcller", "telephone": "0338536716", "date": "30.07.2007/", "time": "13:29:17", "subtotal": "", "tax": "3.85", "total": "54.50 54.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LatteMacchiato", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Gloki", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Schweinschnitzel", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "18.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[69.0, 98.0], [159.0, 99.0], [159.0, 111.0], [69.0, 109.0]], ('CANNNBEACHR.710', 0.676956295967102)], [[[71.0, 106.0], [157.0, 109.0], [157.0, 120.0], [71.0, 117.0]], ('PONE503436-9130', 0.9230049252510071)], [[[31.0, 123.0], [69.0, 123.0], [69.0, 133.0], [31.0, 133.0]], ('316RENAE', 0.9548318386077881)], [[[28.0, 138.0], [70.0, 141.0], [70.0, 152.0], [27.0, 149.0]], ('Check:65', 0.8749802112579346)], [[[74.0, 149.0], [152.0, 151.0], [152.0, 162.0], [74.0, 160.0]], ('07/01/201612:35PM', 0.9267003536224365)], [[[47.0, 178.0], [95.0, 180.0], [95.0, 191.0], [46.0, 189.0]], ('L-HALIBUT', 0.9122726917266846)], [[[68.0, 169.0], [155.0, 170.0], [155.0, 181.0], [68.0, 180.0]], ('RESTAURANT', 0.9955915212631226)], [[[154.0, 179.0], [180.0, 179.0], [180.0, 194.0], [154.0, 194.0]], ('15.95', 0.9889011383056641)], [[[46.0, 190.0], [67.0, 190.0], [67.0, 201.0], [46.0, 201.0]], ('BOWL', 0.9533759951591492)], [[[47.0, 197.0], [68.0, 200.0], [66.0, 212.0], [45.0, 209.0]], ('VISA', 0.997078001499176)], [[[155.0, 189.0], [180.0, 189.0], [180.0, 204.0], [155.0, 204.0]], ('669', 0.6367933750152588)], [[[153.0, 201.0], [179.0, 201.0], [179.0, 213.0], [153.0, 213.0]], ('22.44', 0.9786580204963684)], [[[56.0, 211.0], [126.0, 211.0], [126.0, 222.0], [56.0, 222.0]], ('xx***********', 0.7538534998893738)], [[[44.0, 231.0], [82.0, 231.0], [82.0, 241.0], [44.0, 241.0]], ('SUBTOTAL', 0.9958922863006592)], [[[155.0, 229.0], [182.0, 229.0], [182.0, 240.0], [155.0, 240.0]], ('22.44', 0.989199161529541)], [[[42.0, 240.0], [78.0, 240.0], [78.0, 251.0], [42.0, 251.0]], ('PAYMENT', 0.9833125472068787)], [[[155.0, 237.0], [185.0, 237.0], [185.0, 251.0], [155.0, 251.0]], ('22.44', 0.9693830609321594)], [[[17.0, 248.0], [114.0, 247.0], [114.0, 261.0], [17.0, 262.0]], ('Change Due', 0.957530677318573)], [[[156.0, 248.0], [206.0, 248.0], [206.0, 259.0], [156.0, 259.0]], ('$0.00', 0.9829300045967102)], [[[80.0, 269.0], [160.0, 269.0], [160.0, 282.0], [80.0, 282.0]], ('Check Closed -', 0.9179677963256836)], [[[55.0, 281.0], [163.0, 279.0], [163.0, 293.0], [56.0, 295.0]], ('07/01/2016 12:3721PM', 0.9482102394104004)], [[[10.0, 304.0], [215.0, 303.0], [215.0, 320.0], [10.0, 321.0]], ('Thank you vistingp', 0.9538968205451965)], [[[47.0, 333.0], [174.0, 331.0], [174.0, 346.0], [48.0, 347.0]], ('ECOLA SEAFOOD RESTAURANT', 0.9715037941932678)], [[[16.0, 348.0], [209.0, 348.0], [209.0, 362.0], [16.0, 362.0]], ('Please text me about your experience', 0.9519745707511902)], [[[77.0, 361.0], [144.0, 361.0], [144.0, 375.0], [77.0, 375.0]], ('503-440-0380', 0.9840400815010071)], [[[7.0, 390.0], [207.0, 389.0], [207.0, 403.0], [7.0, 404.0]], ('Proud to Serve Oregon WILD Seafood', 0.923096776008606)], [[[1.0, 418.0], [177.0, 418.0], [177.0, 435.0], [1.0, 435.0]], ('Order Number:65', 0.9470339417457581)]]	{"store_name": "", "store_addr": "", "telephone": "(503)436-9130", "date": "07/01/2016 07/01/2016", "time": "12:37:21PM", "subtotal": "22.44", "tax": "", "total": "22.44 22.44", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "L-HALIBUT", "item_value": "15.55", "item_quantity": "1"}, {"item_key": "", "item_name": "BOWL", "item_value": "6.49", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[244.0, 168.0], [489.0, 162.0], [489.0, 190.0], [244.0, 196.0]], ('Welcome to She', 0.9442099332809448)], [[[156.0, 207.0], [580.0, 199.0], [581.0, 230.0], [157.0, 239.0]], ('PACKARDS SHELL', 0.9658011198043823)], [[[141.0, 246.0], [592.0, 236.0], [593.0, 269.0], [142.0, 278.0]], ('2417LEBANONRD', 0.9748989343643188)], [[[109.0, 285.0], [638.0, 273.0], [638.0, 308.0], [110.0, 320.0]], ('NASHVILLETN 37214', 0.9639195799827576)], [[[282.0, 320.0], [446.0, 320.0], [446.0, 348.0], [282.0, 348.0]], ('12405756003', 0.9994955062866211)], [[[189.0, 361.0], [501.0, 355.0], [502.0, 381.0], [190.0, 387.0]], ('SHELL OIL PRODUCTS US', 0.932050347328186)], [[[191.0, 398.0], [443.0, 393.0], [443.0, 418.0], [191.0, 423.0]], ('2417LEBANONPIKE', 0.9889699816703796)], [[[194.0, 432.0], [328.0, 429.0], [328.0, 455.0], [194.0, 459.0]], ('NASHVILLE', 0.997949481010437)], [[[398.0, 426.0], [529.0, 426.0], [529.0, 455.0], [398.0, 455.0]], ('TN 37214', 0.947537362575531)], [[[421.0, 529.0], [472.0, 532.0], [469.0, 566.0], [419.0, 563.0]], ('Qty', 0.9978030323982239)], [[[100.0, 540.0], [267.0, 535.0], [268.0, 564.0], [101.0, 569.0]], ('Description', 0.9967916011810303)], [[[552.0, 531.0], [640.0, 531.0], [640.0, 561.0], [552.0, 561.0]], ('Amount', 0.998553454875946)], [[[93.0, 609.0], [176.0, 606.0], [177.0, 636.0], [94.0, 639.0]], ('LABOR', 0.9951891899108887)], [[[455.0, 603.0], [472.0, 603.0], [472.0, 629.0], [455.0, 629.0]], ('1', 0.8675422668457031)], [[[570.0, 601.0], [645.0, 599.0], [646.0, 629.0], [571.0, 632.0]], ('15.00', 0.9965057373046875)], [[[58.0, 612.0], [76.0, 612.0], [76.0, 636.0], [58.0, 636.0]], ('I', 0.6833913922309875)], [[[92.0, 644.0], [174.0, 644.0], [174.0, 674.0], [92.0, 674.0]], ('LABOR', 0.9960136413574219)], [[[457.0, 640.0], [475.0, 640.0], [475.0, 666.0], [457.0, 666.0]], ('1', 0.9894576668739319)], [[[575.0, 637.0], [649.0, 634.0], [650.0, 665.0], [576.0, 668.0]], ('15.00', 0.9960823059082031)], [[[56.0, 650.0], [75.0, 650.0], [75.0, 673.0], [56.0, 673.0]], ('I', 0.8172045350074768)], [[[339.0, 716.0], [461.0, 713.0], [462.0, 746.0], [339.0, 748.0]], ('Subtotal', 0.9954975843429565)], [[[580.0, 711.0], [660.0, 708.0], [661.0, 741.0], [581.0, 744.0]], ('30.00', 0.9959611892700195)], [[[414.0, 754.0], [468.0, 754.0], [468.0, 788.0], [414.0, 788.0]], ('Tax', 0.9970705509185791)], [[[597.0, 750.0], [664.0, 748.0], [665.0, 780.0], [599.0, 783.0]], ('2.78', 0.9960142970085144)], [[[213.0, 797.0], [365.0, 797.0], [365.0, 829.0], [213.0, 829.0]], ('TOTAL', 0.998492419719696)], [[[522.0, 792.0], [676.0, 787.0], [677.0, 819.0], [523.0, 824.0]], ('32.78', 0.9626515507698059)], [[[402.0, 833.0], [474.0, 833.0], [474.0, 868.0], [402.0, 868.0]], ('CASH', 0.9979744553565979)], [[[498.0, 835.0], [515.0, 835.0], [515.0, 865.0], [498.0, 865.0]], ('S', 0.7059581875801086)], [[[589.0, 830.0], [670.0, 827.0], [672.0, 860.0], [590.0, 863.0]], ('35.00', 0.9952484369277954)], [[[374.0, 875.0], [471.0, 875.0], [471.0, 909.0], [374.0, 909.0]], ('Change', 0.9986067414283752)], [[[500.0, 875.0], [516.0, 875.0], [516.0, 904.0], [500.0, 904.0]], ('S', 0.523543119430542)], [[[593.0, 868.0], [674.0, 868.0], [674.0, 902.0], [593.0, 902.0]], ('-2.22', 0.9765071868896484)], [[[133.0, 985.0], [151.0, 985.0], [151.0, 998.0], [133.0, 998.0]], ('D', 0.7884525060653687)]]	{"store_name": "PACKARDSSHELL", "store_addr": "2417LEBANONRD NASHVILLETN37214 2417LEBANONPIKE NASHVILLETN37214", "telephone": "12405756003", "date": "", "time": "", "subtotal": "30.00", "tax": "2.78", "total": "32.78", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LABOR", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LABOR", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[67.0, 16.0], [159.0, 16.0], [159.0, 26.0], [67.0, 26.0]], ('bartidorerestuin.pt', 0.8981888294219971)], [[[60.0, 31.0], [206.0, 29.0], [207.0, 42.0], [61.0, 44.0]], ('Ra Alexandre Herculano.n210', 0.7178908586502075)], [[[56.0, 50.0], [165.0, 45.0], [165.0, 59.0], [57.0, 65.0]], ('N.Contrb.502480980', 0.9103726148605347)], [[[59.0, 41.0], [127.0, 40.0], [127.0, 51.0], [60.0, 52.0]], ('2450-000 Te1.', 0.8893743753433228)], [[[55.0, 71.0], [130.0, 68.0], [131.0, 81.0], [55.0, 85.0]], ('Capitl Social', 0.8751509785652161)], [[[54.0, 82.0], [157.0, 79.0], [158.0, 90.0], [54.0, 94.0]], ('[email protected]', 0.9378129243850708)], [[[51.0, 104.0], [206.0, 99.0], [207.0, 112.0], [51.0, 117.0]], ('Consulta de zesa DC 003/18947', 0.8673424124717712)], [[[50.0, 115.0], [155.0, 115.0], [155.0, 128.0], [50.0, 128.0]], ('2016-09-0416:02:18', 0.9533634185791016)], [[[54.0, 138.0], [113.0, 141.0], [112.0, 155.0], [54.0, 153.0]], ('Qt Artigo', 0.8871663808822632)], [[[194.0, 139.0], [213.0, 139.0], [213.0, 151.0], [194.0, 151.0]], ('IVA', 0.9907264709472656)], [[[235.0, 138.0], [267.0, 138.0], [267.0, 152.0], [235.0, 152.0]], ('Total', 0.9536802172660828)], [[[65.0, 156.0], [111.0, 156.0], [111.0, 167.0], [65.0, 167.0]], ('2 Diaria', 0.9136795997619629)], [[[194.0, 152.0], [209.0, 152.0], [209.0, 165.0], [194.0, 165.0]], ('23', 0.997258186340332)], [[[227.0, 153.0], [267.0, 153.0], [267.0, 164.0], [227.0, 164.0]], ('39.90', 0.9608036875724792)], [[[64.0, 165.0], [96.0, 168.0], [95.0, 182.0], [63.0, 179.0]], ('2Pao', 0.6562311053276062)], [[[194.0, 166.0], [209.0, 166.0], [209.0, 179.0], [194.0, 179.0]], ('13', 0.9991270303726196)], [[[232.0, 166.0], [269.0, 166.0], [269.0, 177.0], [232.0, 177.0]], ('E1.20', 0.9133822321891785)], [[[64.0, 184.0], [122.0, 184.0], [122.0, 195.0], [64.0, 195.0]], ('2 Manteiga', 0.942775547504425)], [[[195.0, 180.0], [210.0, 180.0], [210.0, 193.0], [195.0, 193.0]], ('13', 0.9974424839019775)], [[[233.0, 178.0], [270.0, 178.0], [270.0, 192.0], [233.0, 192.0]], ('2.00', 0.9575008749961853)], [[[64.0, 196.0], [128.0, 196.0], [128.0, 210.0], [64.0, 210.0]], ('1 Coca-Cola', 0.9109723567962646)], [[[195.0, 193.0], [210.0, 193.0], [210.0, 206.0], [195.0, 206.0]], ('23', 0.9922002553939819)], [[[233.0, 192.0], [271.0, 192.0], [271.0, 206.0], [233.0, 206.0]], ('2.00', 0.9786158800125122)], [[[49.0, 211.0], [104.0, 211.0], [104.0, 225.0], [49.0, 225.0]], ('Total', 0.9878950119018555)], [[[192.0, 209.0], [213.0, 209.0], [213.0, 221.0], [192.0, 221.0]], ('E', 0.5556910634040833)], [[[211.0, 208.0], [270.0, 206.0], [271.0, 220.0], [212.0, 222.0]], ('45.10', 0.980877697467804)], [[[47.0, 240.0], [166.0, 237.0], [166.0, 251.0], [47.0, 254.0]], ('Emp.IsabelHesa:4', 0.8827109932899475)], [[[46.0, 270.0], [260.0, 266.0], [260.0, 279.0], [46.0, 283.0]], ('Preencha aqui os dados para a factura', 0.9401851296424866)], [[[47.0, 284.0], [85.0, 284.0], [85.0, 298.0], [47.0, 298.0]], ('NIF', 0.9677305221557617)], [[[47.0, 299.0], [85.0, 299.0], [85.0, 313.0], [47.0, 313.0]], ('None:_', 0.8850571513175964)], [[[48.0, 328.0], [179.0, 327.0], [179.0, 341.0], [48.0, 343.0]], ('Obrigado e volte sempre', 0.9201675057411194)], [[[60.0, 357.0], [257.0, 355.0], [257.0, 369.0], [61.0, 371.0]], ('Este docunento nao serve de factura', 0.9369255900382996)], [[[82.0, 385.0], [242.0, 384.0], [242.0, 398.0], [82.0, 399.0]], ('PSHh-Processado por prograa', 0.9176930785179138)], [[[99.0, 399.0], [225.0, 397.0], [225.0, 411.0], [99.0, 413.0]], ('certificado n. 0071/AT', 0.9353984594345093)], [[[101.0, 426.0], [224.0, 424.0], [224.0, 438.0], [101.0, 440.0]], ('Copyright BrupoPIE SA', 0.9271914958953857)]]	{"store_name": "", "store_addr": "", "telephone": "N,Contrib.502480980", "date": "2016-09-04", "time": "16:02:18", "subtotal": "", "tax": "", "total": "\u20ac45.10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Diaria", "item_value": "\u20ac39.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Pao", "item_value": "\u20ac1.20", "item_quantity": "1"}, {"item_key": "", "item_name": "Manteiga", "item_value": "\u20ac2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Coca-Cola", "item_value": "\u20ac2.00", "item_quantity": "1"}, {"item_key": "Artigo", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[84.0, 20.0], [521.0, 15.0], [522.0, 36.0], [84.0, 41.0]], ('1631 KALORAMA ROAD NW-WASHINGTON', 0.9452958703041077)], [[[59.0, 46.0], [530.0, 40.0], [531.0, 62.0], [59.0, 68.0]], ('STORE#0231PHONE#202-986-1415', 0.9496278762817383)], [[[71.0, 72.0], [518.0, 67.0], [519.0, 88.0], [71.0, 93.0]], ('IF YOU ARE NOT COMPLETELY SATISFIED', 0.9370400309562683)], [[[71.0, 97.0], [492.0, 92.0], [493.0, 115.0], [71.0, 120.0]], ('WITH YOUR VISIT TODAY PLEASE CALL', 0.9369617104530334)], [[[72.0, 126.0], [289.0, 123.0], [290.0, 144.0], [72.0, 147.0]], ('STORE MANAGER:ED', 0.9505234360694885)], [[[71.0, 149.0], [339.0, 149.0], [339.0, 171.0], [71.0, 171.0]], ('YOUR CASHIER : Me1vyn', 0.8633238673210144)], [[[61.0, 177.0], [162.0, 177.0], [162.0, 198.0], [61.0, 198.0]], ('CUSTOMER', 0.9972691535949707)], [[[403.0, 172.0], [546.0, 169.0], [547.0, 193.0], [403.0, 195.0]], ('40179997560', 0.9983912110328674)], [[[162.0, 202.0], [353.0, 199.0], [353.0, 220.0], [162.0, 223.0]], ('GLUTINO WHT BRD', 0.9378427267074585)], [[[402.0, 196.0], [434.0, 196.0], [434.0, 221.0], [402.0, 221.0]], ('PC', 0.9925488233566284)], [[[465.0, 196.0], [546.0, 194.0], [547.0, 219.0], [465.0, 221.0]], ('5.49F', 0.9897657632827759)], [[[59.0, 224.0], [422.0, 221.0], [422.0, 248.0], [59.0, 251.0]], ('SC 515498 VIC GLUTINO WHT BR', 0.9000621438026428)], [[[481.0, 221.0], [547.0, 219.0], [548.0, 245.0], [482.0, 247.0]], ('.70-F', 0.9498910903930664)], [[[162.0, 254.0], [353.0, 252.0], [353.0, 271.0], [162.0, 274.0]], ('HT EGGWHITE ST', 0.9389663338661194)], [[[402.0, 249.0], [433.0, 249.0], [433.0, 273.0], [402.0, 273.0]], ('PC', 0.9923791885375977)], [[[468.0, 248.0], [547.0, 248.0], [547.0, 272.0], [468.0, 272.0]], ('2.59F', 0.9924759864807129)], [[[62.0, 281.0], [406.0, 276.0], [406.0, 297.0], [62.0, 301.0]], ('SC518099VIC HT EGG STARTS', 0.9345940947532654)], [[[483.0, 274.0], [548.0, 271.0], [549.0, 297.0], [484.0, 300.0]], ('.22-F', 0.9423478245735168)], [[[162.0, 306.0], [277.0, 304.0], [278.0, 325.0], [163.0, 327.0]], ('BORN FREE', 0.9500472545623779)], [[[402.0, 300.0], [434.0, 300.0], [434.0, 325.0], [402.0, 325.0]], ('PC', 0.9907832741737366)], [[[467.0, 301.0], [548.0, 298.0], [549.0, 323.0], [467.0, 325.0]], ('3.29F', 0.9882848858833313)], [[[62.0, 332.0], [354.0, 330.0], [354.0, 351.0], [62.0, 353.0]], ('SC515443VICB0RNFREE', 0.9800301790237427)], [[[469.0, 326.0], [547.0, 326.0], [547.0, 351.0], [469.0, 351.0]], ('1.29-F', 0.9875001907348633)], [[[72.0, 357.0], [292.0, 355.0], [293.0, 378.0], [72.0, 380.0]], ('[email protected]/1b', 0.9596825838088989)], [[[60.0, 383.0], [90.0, 383.0], [90.0, 407.0], [60.0, 407.0]], ('WT', 0.735605001449585)], [[[162.0, 383.0], [305.0, 380.0], [306.0, 403.0], [162.0, 405.0]], ('ORG BANANAS', 0.963370144367218)], [[[482.0, 377.0], [550.0, 374.0], [551.0, 402.0], [483.0, 405.0]], ('.40F', 0.9268296360969543)], [[[69.0, 409.0], [166.0, 407.0], [166.0, 431.0], [70.0, 433.0]], ('[email protected]', 0.960252583026886)], [[[62.0, 437.0], [367.0, 433.0], [367.0, 454.0], [62.0, 458.0]], ('MP 5921 GREEN BAGREBATE', 0.9365503191947937)], [[[404.0, 430.0], [434.0, 430.0], [434.0, 456.0], [404.0, 456.0]], ('NP', 0.9979490041732788)], [[[487.0, 429.0], [537.0, 429.0], [537.0, 455.0], [487.0, 455.0]], ('.05-', 0.9691450595855713)], [[[97.0, 462.0], [304.0, 459.0], [305.0, 482.0], [98.0, 485.0]], ('*** BALANCE DUE', 0.8757904767990112)], [[[469.0, 456.0], [525.0, 456.0], [525.0, 481.0], [469.0, 481.0]], ('9.51', 0.9969717860221863)], [[[163.0, 485.0], [220.0, 485.0], [220.0, 510.0], [163.0, 510.0]], ('CASH', 0.9984074234962463)], [[[458.0, 482.0], [526.0, 482.0], [526.0, 506.0], [458.0, 506.0]], ('20.00', 0.9952455759048462)], [[[163.0, 537.0], [243.0, 535.0], [244.0, 561.0], [164.0, 563.0]], ('CHANGE', 0.9950190186500549)], [[[458.0, 534.0], [525.0, 532.0], [526.0, 558.0], [459.0, 560.0]], ('10.49', 0.9969363212585449)], [[[161.0, 589.0], [446.0, 586.0], [446.0, 609.0], [161.0, 613.0]], ('COUPONS TENDERED2.21', 0.9708176851272583)], [[[78.0, 618.0], [498.0, 612.0], [499.0, 635.0], [78.0, 640.0]], ('9/19/129:09PM0231360248110', 0.98248291015625)], [[[64.0, 670.0], [410.0, 666.0], [410.0, 689.0], [64.0, 693.0]], ('Online Savings ZvR Today:', 0.9047468304634094)], [[[430.0, 666.0], [448.0, 666.0], [448.0, 688.0], [430.0, 688.0]], ('$', 0.9355236887931824)], [[[512.0, 662.0], [553.0, 662.0], [553.0, 689.0], [512.0, 689.0]], ('.00', 0.9923248887062073)], [[[59.0, 697.0], [405.0, 694.0], [405.0, 714.0], [59.0, 717.0]], ('Year toDate ZvR Savings:', 0.8856032490730286)], [[[427.0, 692.0], [444.0, 692.0], [444.0, 713.0], [427.0, 713.0]], ('$', 0.9480520486831665)], [[[509.0, 690.0], [548.0, 690.0], [548.0, 714.0], [509.0, 714.0]], ('.00', 0.9908458590507507)], [[[67.0, 747.0], [449.0, 743.0], [449.0, 764.0], [67.0, 768.0]], ('TOTAL VIC SAVINGS THIS ORDER $', 0.9250295162200928)], [[[498.0, 740.0], [552.0, 740.0], [552.0, 766.0], [498.0, 766.0]], ('2.21', 0.9959222078323364)], [[[65.0, 770.0], [452.0, 766.0], [452.0, 793.0], [65.0, 797.0]], ('TOTAL VIC SAVINGS THIS YEAR $', 0.9312806725502014)], [[[486.0, 767.0], [553.0, 767.0], [553.0, 792.0], [486.0, 792.0]], ('58.30', 0.996198832988739)], [[[104.0, 852.0], [497.0, 847.0], [498.0, 868.0], [105.0, 873.0]], ('NO ONE REWARDS LOYALTY LIKE HT!', 0.9218176007270813)]]	{"store_name": "", "store_addr": "1631KALORAMAROADNW-WASHINGTON,", "telephone": "202-986-1415", "date": "9/19/12", "time": "9:09PM", "subtotal": "", "tax": "", "total": "9.51", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GLUTINOWHTBRD", "item_value": "5.49", "item_quantity": "1"}, {"item_key": "", "item_name": "HTEGGWHITEST", "item_value": "70-", "item_quantity": "1"}, {"item_key": "", "item_name": "ORGBANANAS", "item_value": "2.59", "item_quantity": "1"}, {"item_key": "", "item_name": "VICGLUTINOWHT", "item_value": ".22-", "item_quantity": "1"}, {"item_key": "", "item_name": "VICHTEGGSTARTS", "item_value": "3.29", "item_quantity": "1"}, {"item_key": "", "item_name": "VICBORNFREE", "item_value": ".40", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.29-", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": ".05-", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[313.0, 2.0], [404.0, 6.0], [403.0, 27.0], [312.0, 23.0]], ('Kaisin', 0.8078802227973938)], [[[286.0, 33.0], [481.0, 18.0], [487.0, 88.0], [292.0, 103.0]], ("ane's", 0.9184864163398743)], [[[306.0, 109.0], [491.0, 118.0], [490.0, 141.0], [304.0, 132.0]], ('CHIGKEN FINUERS.', 0.7370618581771851)], [[[204.0, 166.0], [483.0, 178.0], [482.0, 209.0], [202.0, 197.0]], ('7550 S.Las Vegas B1vd', 0.9311403632164001)], [[[215.0, 202.0], [456.0, 211.0], [455.0, 238.0], [213.0, 229.0]], ('Las VegasNV 89123', 0.9452124238014221)], [[[205.0, 234.0], [466.0, 243.0], [465.0, 270.0], [204.0, 261.0]], ('702434-D0GG3644', 0.9407961964607239)], [[[229.0, 268.0], [456.0, 276.0], [455.0, 300.0], [228.0, 292.0]], ('www.ilovecanes.com', 0.9555211663246155)], [[[100.0, 325.0], [244.0, 329.0], [243.0, 357.0], [99.0, 353.0]], ('365 Kevin S', 0.9317855834960938)], [[[88.0, 388.0], [191.0, 390.0], [191.0, 418.0], [88.0, 416.0]], ('Chk 3557', 0.9371933341026306)], [[[315.0, 394.0], [392.0, 394.0], [392.0, 421.0], [315.0, 421.0]], ('VAGINA', 0.997795820236206)], [[[513.0, 395.0], [598.0, 393.0], [599.0, 423.0], [514.0, 425.0]], ('Gst 5', 0.9272568821907043)], [[[242.0, 425.0], [441.0, 427.0], [441.0, 451.0], [241.0, 449.0]], ("Apr04'1412:58PM", 0.9570237994194031)], [[[135.0, 479.0], [315.0, 483.0], [315.0, 511.0], [135.0, 507.0]], ('Dine In', 0.9303598999977112)], [[[110.0, 513.0], [314.0, 516.0], [314.0, 540.0], [109.0, 537.0]], ('53 FINGER COMBO', 0.9376288056373596)], [[[489.0, 516.0], [557.0, 518.0], [556.0, 547.0], [487.0, 545.0]], ('29.95', 0.9950815439224243)], [[[133.0, 544.0], [252.0, 546.0], [251.0, 571.0], [133.0, 569.0]], ('5REGULAR', 0.9926661849021912)], [[[133.0, 576.0], [338.0, 579.0], [337.0, 603.0], [133.0, 600.0]], ('5 FOUNTAIN DRINK', 0.9339748620986938)], [[[129.0, 604.0], [189.0, 606.0], [187.0, 636.0], [127.0, 634.0]], ('Cash', 0.9959930181503296)], [[[489.0, 610.0], [556.0, 610.0], [556.0, 640.0], [489.0, 640.0]], ('50.00', 0.9971162676811218)], [[[129.0, 670.0], [234.0, 670.0], [234.0, 698.0], [129.0, 698.0]], ('Subtotal', 0.9950331449508667)], [[[489.0, 673.0], [558.0, 675.0], [557.0, 705.0], [487.0, 703.0]], ('29.95', 0.9959270358085632)], [[[126.0, 701.0], [173.0, 701.0], [173.0, 733.0], [126.0, 733.0]], ('TAX', 0.9969571232795715)], [[[501.0, 709.0], [557.0, 709.0], [557.0, 736.0], [501.0, 736.0]], ('2.43', 0.9951333999633789)], [[[125.0, 735.0], [219.0, 737.0], [218.0, 766.0], [125.0, 764.0]], ('Payment', 0.997896671295166)], [[[489.0, 739.0], [558.0, 741.0], [557.0, 770.0], [487.0, 768.0]], ('32.38', 0.9924999475479126)], [[[123.0, 769.0], [257.0, 769.0], [257.0, 800.0], [123.0, 800.0]], ('Change Due', 0.9471403360366821)], [[[490.0, 772.0], [559.0, 776.0], [557.0, 805.0], [488.0, 802.0]], ('17.62', 0.9931125640869141)], [[[173.0, 872.0], [504.0, 873.0], [504.0, 901.0], [173.0, 900.0]], (" Customer's Copy ", 0.9288293123245239)]]	{"store_name": "Cane's", "store_addr": "7550S.LasVegasBlvd LasVegas,NV89123", "telephone": "(702)434-DOGG(3644)", "date": "Apr04\u201914", "time": "12:58PM", "subtotal": "29.95", "tax": "2.43", "total": "32.38", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FINGERCOMBO", "item_value": "29.95", "item_quantity": "1"}, {"item_key": "", "item_name": "REGULAR", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FOUNTATNDRINK", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[258.0, 150.0], [440.0, 160.0], [439.0, 182.0], [256.0, 171.0]], ('GOODWILL OUTLET STORE', 0.9609688520431519)], [[[268.0, 182.0], [440.0, 191.0], [439.0, 212.0], [267.0, 203.0]], ('740 U.RIVERSIDE BLUD', 0.887790322303772)], [[[267.0, 212.0], [440.0, 221.0], [439.0, 243.0], [266.0, 234.0]], ('ROCKFORD.IL.61103', 0.953499972820282)], [[[175.0, 240.0], [217.0, 240.0], [217.0, 264.0], [175.0, 264.0]], ('DATE', 0.9979497790336609)], [[[312.0, 243.0], [400.0, 248.0], [399.0, 271.0], [311.0, 266.0]], ('01/02/2017', 0.9971293210983276)], [[[493.0, 252.0], [523.0, 252.0], [523.0, 274.0], [493.0, 274.0]], ('HON', 0.8878572583198547)], [[[231.0, 273.0], [274.0, 273.0], [274.0, 296.0], [231.0, 296.0]], ('29X', 0.8778560757637024)], [[[353.0, 276.0], [410.0, 276.0], [410.0, 298.0], [353.0, 298.0]], ('1.49', 0.9910576343536377)], [[[234.0, 303.0], [306.0, 303.0], [306.0, 322.0], [234.0, 322.0]], ('SHOES T1', 0.9165892601013184)], [[[475.0, 300.0], [529.0, 302.0], [528.0, 325.0], [474.0, 323.0]], ('$43.21', 0.9919598698616028)], [[[232.0, 329.0], [266.0, 329.0], [266.0, 350.0], [232.0, 350.0]], ('2X', 0.8365803956985474)], [[[357.0, 327.0], [414.0, 327.0], [414.0, 349.0], [357.0, 349.0]], ('01.09', 0.8833271265029907)], [[[233.0, 354.0], [310.0, 352.0], [310.0, 374.0], [234.0, 376.0]], ('CANDY T1', 0.934521496295929)], [[[488.0, 354.0], [533.0, 357.0], [532.0, 380.0], [486.0, 377.0]], ('$2.18', 0.9644775390625)], [[[234.0, 381.0], [268.0, 381.0], [268.0, 402.0], [234.0, 402.0]], ('3X', 0.8673999309539795)], [[[361.0, 382.0], [419.0, 382.0], [419.0, 404.0], [361.0, 404.0]], ('01.00', 0.9097477197647095)], [[[235.0, 408.0], [296.0, 408.0], [296.0, 430.0], [235.0, 430.0]], ('DUD T1', 0.8242099285125732)], [[[491.0, 411.0], [537.0, 411.0], [537.0, 434.0], [491.0, 434.0]], ('$3.00', 0.9952424168586731)], [[[237.0, 438.0], [281.0, 438.0], [281.0, 461.0], [237.0, 461.0]], ('50X', 0.9014599323272705)], [[[364.0, 440.0], [422.0, 440.0], [422.0, 461.0], [364.0, 461.0]], ('0.99', 0.9950028657913208)], [[[237.0, 470.0], [359.0, 468.0], [359.0, 489.0], [238.0, 492.0]], ('25+POUNDS T1', 0.9314494729042053)], [[[488.0, 470.0], [540.0, 470.0], [540.0, 490.0], [488.0, 490.0]], ('$49.50', 0.9947353005409241)], [[[237.0, 500.0], [369.0, 498.0], [370.0, 520.0], [238.0, 522.0]], ('LARGE ITENS T1', 0.9047204852104187)], [[[495.0, 497.0], [543.0, 497.0], [543.0, 520.0], [495.0, 520.0]], ('$0.99', 0.9978975057601929)], [[[239.0, 530.0], [316.0, 528.0], [317.0, 551.0], [240.0, 553.0]], ('TAX1 AMT', 0.8513458371162415)], [[[496.0, 525.0], [547.0, 525.0], [547.0, 548.0], [496.0, 548.0]], ('$8.16', 0.9891467094421387)], [[[240.0, 560.0], [290.0, 560.0], [290.0, 583.0], [240.0, 583.0]], ('TOTAL', 0.9985771179199219)], [[[481.0, 555.0], [548.0, 553.0], [549.0, 576.0], [482.0, 578.0]], ('$107.04', 0.9952244162559509)], [[[240.0, 592.0], [344.0, 589.0], [344.0, 611.0], [240.0, 614.0]], ('CREDIT CARD', 0.9635691046714783)], [[[483.0, 586.0], [550.0, 583.0], [551.0, 605.0], [484.0, 608.0]], ('$107.04', 0.9893422722816467)], [[[184.0, 623.0], [225.0, 623.0], [225.0, 643.0], [184.0, 643.0]], ('SALE', 0.9987545609474182)], [[[484.0, 615.0], [550.0, 611.0], [551.0, 634.0], [486.0, 638.0]], ('$107.04', 0.9852932691574097)], [[[254.0, 651.0], [336.0, 651.0], [336.0, 669.0], [254.0, 669.0]], ('****0578', 0.8820875883102417)], [[[186.0, 675.0], [290.0, 672.0], [291.0, 694.0], [187.0, 697.0]], ('APP004554', 0.9910131096839905)], [[[187.0, 702.0], [308.0, 697.0], [309.0, 719.0], [188.0, 725.0]], ('REF:00000000', 0.946259081363678)], [[[186.0, 731.0], [254.0, 726.0], [256.0, 748.0], [188.0, 754.0]], ('REC:50', 0.9266685843467712)], [[[297.0, 753.0], [428.0, 748.0], [429.0, 767.0], [298.0, 772.0]], ('ORDER0238', 0.9617963433265686)], [[[453.0, 773.0], [539.0, 773.0], [539.0, 795.0], [453.0, 795.0]], ('TINE18:16', 0.866830587387085)], [[[188.0, 792.0], [376.0, 775.0], [378.0, 796.0], [190.0, 813.0]], ('NO.004938 REG02 BRODY', 0.9116434454917908)]]	{"store_name": "GOODWILLOUTLETSTORE", "store_addr": "740W.RIVERSIDEBLVD ROCKFORD.IL.61103", "telephone": "", "date": "01/02/2017", "time": "18:16", "subtotal": "", "tax": "$8.16", "total": "$107.04 $107.04 $107.04", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SHOEST1", "item_value": "$43.21", "item_quantity": "1"}, {"item_key": "", "item_name": "CANDYTT1", "item_value": "$2.18", "item_quantity": "1"}, {"item_key": "", "item_name": "DVDTI", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "25+POUNDST1", "item_value": "$49.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[735.0, 53.0], [1234.0, 45.0], [1236.0, 161.0], [737.0, 170.0]], ('TARGET', 0.9966905117034912)], [[[765.0, 162.0], [1228.0, 158.0], [1228.0, 211.0], [765.0, 215.0]], ('EXPECT MORE PAY LESS:', 0.9229555726051331)], [[[382.0, 339.0], [1470.0, 327.0], [1471.0, 387.0], [383.0, 399.0]], ('06/17/2010 02:37PM EXPIRES 09/15/10', 0.9384211897850037)], [[[272.0, 613.0], [515.0, 613.0], [515.0, 677.0], [272.0, 677.0]], ('CLOTHING', 0.9982377290725708)], [[[272.0, 670.0], [533.0, 665.0], [533.0, 722.0], [273.0, 726.0]], ('014041168', 0.9379727244377136)], [[[706.0, 666.0], [941.0, 666.0], [941.0, 718.0], [706.0, 718.0]], ('MB SKIRT', 0.9478820562362671)], [[[1290.0, 662.0], [1559.0, 662.0], [1559.0, 715.0], [1290.0, 715.0]], ('$14.99', 0.9950530529022217)], [[[698.0, 711.0], [1364.0, 707.0], [1364.0, 771.0], [699.0, 775.0]], ('Saved$5.00 off $19.99', 0.9492993354797363)], [[[702.0, 771.0], [1004.0, 771.0], [1004.0, 824.0], [702.0, 824.0]], ('ME BERMUDA', 0.9683712720870972)], [[[1282.0, 764.0], [1480.0, 755.0], [1483.0, 819.0], [1285.0, 828.0]], ('$17.99', 0.9952262043952942)], [[[276.0, 782.0], [529.0, 782.0], [529.0, 824.0], [276.0, 824.0]], ('014151638', 0.9972369074821472)], [[[702.0, 824.0], [915.0, 824.0], [915.0, 876.0], [702.0, 876.0]], ('MB TANK', 0.9359949827194214)], [[[1312.0, 821.0], [1480.0, 812.0], [1483.0, 868.0], [1315.0, 877.0]], ('$7.00', 0.997841477394104)], [[[268.0, 831.0], [533.0, 831.0], [533.0, 884.0], [268.0, 884.0]], ('316055897', 0.9740845561027527)], [[[698.0, 873.0], [1338.0, 869.0], [1338.0, 933.0], [699.0, 937.0]], ('Saved$2.off $9.00', 0.9424108862876892)], [[[268.0, 937.0], [533.0, 937.0], [533.0, 989.0], [268.0, 989.0]], ('316055903', 0.956415593624115)], [[[698.0, 937.0], [925.0, 928.0], [927.0, 981.0], [700.0, 990.0]], ('MB IANK', 0.8847007155418396)], [[[1320.0, 929.0], [1485.0, 929.0], [1485.0, 982.0], [1320.0, 982.0]], ('$7.00', 0.9902918934822083)], [[[698.0, 978.0], [1158.0, 974.0], [1158.0, 1038.0], [699.0, 1042.0]], ('Saved $2.00 off', 0.9329614043235779)], [[[1169.0, 982.0], [1335.0, 982.0], [1335.0, 1034.0], [1169.0, 1034.0]], ('$9.00', 0.9982649087905884)], [[[257.0, 1039.0], [536.0, 1030.0], [537.0, 1094.0], [259.0, 1103.0]], ('016055909', 0.9956024885177612)], [[[706.0, 1038.0], [915.0, 1038.0], [915.0, 1091.0], [706.0, 1091.0]], ('MB TANK', 0.8841536641120911)], [[[1324.0, 1034.0], [1485.0, 1034.0], [1485.0, 1087.0], [1324.0, 1087.0]], ('$7.00', 0.9985976219177246)], [[[698.0, 1083.0], [1191.0, 1079.0], [1191.0, 1143.0], [699.0, 1147.0]], ('Saved $2.00 off ', 0.9140322804450989)], [[[1165.0, 1087.0], [1331.0, 1087.0], [1331.0, 1140.0], [1165.0, 1140.0]], ('$9.00', 0.9972907304763794)], [[[265.0, 1147.0], [529.0, 1147.0], [529.0, 1200.0], [265.0, 1200.0]], ('022080749', 0.9985631108283997)], [[[706.0, 1143.0], [1062.0, 1143.0], [1062.0, 1192.0], [706.0, 1192.0]], ('ASSETS VTANK', 0.9696504473686218)], [[[1286.0, 1140.0], [1476.0, 1131.0], [1479.0, 1188.0], [1289.0, 1197.0]], ('$24.00', 0.9965019822120667)], [[[1180.0, 1151.0], [1210.0, 1151.0], [1210.0, 1189.0], [1180.0, 1189.0]], ('I', 0.6252574920654297)], [[[265.0, 1200.0], [529.0, 1200.0], [529.0, 1253.0], [265.0, 1253.0]], ('032004542', 0.998786211013794)], [[[706.0, 1196.0], [1004.0, 1196.0], [1004.0, 1249.0], [706.0, 1249.0]], ('CR SCOOTER', 0.9596133232116699)], [[[1324.0, 1196.0], [1482.0, 1196.0], [1482.0, 1249.0], [1324.0, 1249.0]], ('$4.99', 0.9977186322212219)], [[[260.0, 1257.0], [528.0, 1244.0], [530.0, 1297.0], [263.0, 1310.0]], ('032005390', 0.9989120960235596)], [[[706.0, 1249.0], [974.0, 1249.0], [974.0, 1301.0], [706.0, 1301.0]], ('CR ROMPER', 0.9521089196205139)], [[[1324.0, 1249.0], [1482.0, 1249.0], [1482.0, 1305.0], [1324.0, 1305.0]], ('$9.99', 0.9974105954170227)], [[[1188.0, 1260.0], [1210.0, 1260.0], [1210.0, 1294.0], [1188.0, 1294.0]], ('-', 0.6335702538490295)], [[[702.0, 1301.0], [1059.0, 1301.0], [1059.0, 1354.0], [702.0, 1354.0]], ('CR 2FER TANK', 0.9408330917358398)], [[[1324.0, 1301.0], [1482.0, 1301.0], [1482.0, 1358.0], [1324.0, 1358.0]], ('$4.88', 0.9960389137268066)], [[[268.0, 1313.0], [526.0, 1313.0], [526.0, 1354.0], [268.0, 1354.0]], ('032005413', 0.9983675479888916)], [[[261.0, 1362.0], [529.0, 1362.0], [529.0, 1414.0], [261.0, 1414.0]], ('032051865', 0.9985617399215698)], [[[706.0, 1358.0], [1007.0, 1358.0], [1007.0, 1411.0], [706.0, 1411.0]], ('XH LEGGING', 0.960241436958313)], [[[1324.0, 1354.0], [1482.0, 1354.0], [1482.0, 1411.0], [1324.0, 1411.0]], ('$1.98', 0.9969895482063293)], [[[265.0, 1414.0], [529.0, 1414.0], [529.0, 1467.0], [265.0, 1467.0]], ('032053518', 0.9990814924240112)], [[[702.0, 1411.0], [882.0, 1411.0], [882.0, 1463.0], [702.0, 1463.0]], ('XH TOP', 0.9317948818206787)], [[[1294.0, 1411.0], [1482.0, 1411.0], [1482.0, 1463.0], [1294.0, 1463.0]], ('$12.99', 0.9987861514091492)], [[[702.0, 1463.0], [882.0, 1463.0], [882.0, 1520.0], [702.0, 1520.0]], ('XH TOP', 0.9237295985221863)], [[[1290.0, 1459.0], [1485.0, 1459.0], [1485.0, 1523.0], [1290.0, 1523.0]], ('$12.99', 0.998303234577179)], [[[261.0, 1471.0], [529.0, 1471.0], [529.0, 1523.0], [261.0, 1523.0]], ('032053528', 0.999161958694458)], [[[1173.0, 1473.0], [1204.0, 1464.0], [1217.0, 1509.0], [1186.0, 1519.0]], ('I', 0.6209112405776978)], [[[265.0, 1523.0], [529.0, 1523.0], [529.0, 1576.0], [265.0, 1576.0]], ('032057527', 0.9937374591827393)], [[[698.0, 1517.0], [940.0, 1508.0], [942.0, 1572.0], [700.0, 1581.0]], ('XH SHORT', 0.9373533129692078)], [[[1324.0, 1516.0], [1482.0, 1516.0], [1482.0, 1572.0], [1324.0, 1572.0]], ('$6.99', 0.9976842999458313)], [[[261.0, 1576.0], [526.0, 1576.0], [526.0, 1629.0], [261.0, 1629.0]], ('032057531', 0.9987568259239197)], [[[706.0, 1576.0], [934.0, 1576.0], [934.0, 1629.0], [706.0, 1629.0]], ('XH SHORT', 0.9436432719230652)], [[[1327.0, 1572.0], [1482.0, 1572.0], [1482.0, 1629.0], [1327.0, 1629.0]], ('$6.99', 0.9968104362487793)], [[[702.0, 1629.0], [915.0, 1629.0], [915.0, 1681.0], [702.0, 1681.0]], ('XH TANK', 0.922221302986145)], [[[1184.0, 1632.0], [1210.0, 1632.0], [1210.0, 1674.0], [1184.0, 1674.0]], ('I', 0.5967209935188293)], [[[1327.0, 1625.0], [1482.0, 1625.0], [1482.0, 1681.0], [1327.0, 1681.0]], ('$6.99', 0.9971495866775513)], [[[265.0, 1636.0], [526.0, 1636.0], [526.0, 1678.0], [265.0, 1678.0]], ('032057562', 0.9991190433502197)], [[[261.0, 1685.0], [529.0, 1685.0], [529.0, 1738.0], [261.0, 1738.0]], ('032080797', 0.999064028263092)], [[[702.0, 1681.0], [1062.0, 1681.0], [1062.0, 1734.0], [702.0, 1734.0]], ('SS GRPHC TEE', 0.945149838924408)], [[[1324.0, 1681.0], [1482.0, 1681.0], [1482.0, 1734.0], [1324.0, 1734.0]], ('7.99', 0.9949930906295776)], [[[261.0, 1738.0], [526.0, 1738.0], [526.0, 1790.0], [261.0, 1790.0]], ('032105965', 0.9985991716384888)], [[[702.0, 1738.0], [945.0, 1738.0], [945.0, 1790.0], [702.0, 1790.0]], ('MS DRESS', 0.9594529867172241)], [[[1294.0, 1730.0], [1489.0, 1730.0], [1489.0, 1794.0], [1294.0, 1794.0]], ('$14.99', 0.9965710043907166)], [[[265.0, 1798.0], [529.0, 1798.0], [529.0, 1839.0], [265.0, 1839.0]], ('042150134', 0.9989400506019592)], [[[706.0, 1790.0], [937.0, 1790.0], [937.0, 1843.0], [706.0, 1843.0]], ('ME SHORT', 0.9322375655174255)], [[[1180.0, 1790.0], [1213.0, 1790.0], [1213.0, 1839.0], [1180.0, 1839.0]], ('T', 0.8517478108406067)], [[[1294.0, 1790.0], [1485.0, 1790.0], [1485.0, 1843.0], [1294.0, 1843.0]], ('$15.00', 0.9975530505180359)], [[[702.0, 1839.0], [1368.0, 1839.0], [1368.0, 1903.0], [702.0, 1903.0]], ('Saved $1.99 off $16.99', 0.9221351742744446)], [[[261.0, 1900.0], [529.0, 1900.0], [529.0, 1952.0], [261.0, 1952.0]], ('043050448', 0.9989230632781982)], [[[702.0, 1900.0], [971.0, 1900.0], [971.0, 1952.0], [702.0, 1952.0]], ('OS SS TEE', 0.8907772898674011)], [[[1320.0, 1900.0], [1482.0, 1900.0], [1482.0, 1956.0], [1320.0, 1956.0]], ('$6.48', 0.997054398059845)], [[[261.0, 1956.0], [529.0, 1956.0], [529.0, 2009.0], [261.0, 2009.0]], ('043050522', 0.9989640712738037)], [[[700.0, 1952.0], [971.0, 1960.0], [970.0, 2013.0], [698.0, 2004.0]], ('OS HENLEY', 0.9190328121185303)], [[[1298.0, 1952.0], [1485.0, 1952.0], [1485.0, 2012.0], [1298.0, 2012.0]], ('$14.99', 0.9917898774147034)], [[[268.0, 2016.0], [529.0, 2016.0], [529.0, 2058.0], [268.0, 2058.0]], ('043098493', 0.9987671375274658)], [[[706.0, 2009.0], [1000.0, 2009.0], [1000.0, 2061.0], [706.0, 2061.0]], ('SCREEN TEE', 0.9709808230400085)], [[[1298.0, 2009.0], [1482.0, 2009.0], [1482.0, 2061.0], [1298.0, 2061.0]], ('$12.99', 0.9980688095092773)], [[[268.0, 2069.0], [526.0, 2069.0], [526.0, 2110.0], [268.0, 2110.0]], ('093096631', 0.9986622929573059)], [[[706.0, 2061.0], [1000.0, 2061.0], [1000.0, 2114.0], [706.0, 2114.0]], ('C9 HERMINA', 0.9529987573623657)], [[[1301.0, 2061.0], [1482.0, 2061.0], [1482.0, 2118.0], [1301.0, 2118.0]], ('$21.99', 0.9981038570404053)], [[[257.0, 2114.0], [529.0, 2114.0], [529.0, 2167.0], [257.0, 2167.0]], ('093096638', 0.9978376030921936)], [[[702.0, 2118.0], [1004.0, 2118.0], [1004.0, 2170.0], [702.0, 2170.0]], ('C9 HERMINA', 0.9582063555717468)], [[[1298.0, 2118.0], [1485.0, 2118.0], [1485.0, 2178.0], [1298.0, 2178.0]], ('$21.99', 0.9983134269714355)], [[[257.0, 2167.0], [526.0, 2167.0], [526.0, 2219.0], [257.0, 2219.0]], ('096062007', 0.9935963749885559)], [[[706.0, 2178.0], [971.0, 2178.0], [971.0, 2219.0], [706.0, 2219.0]], ('MSC WINDA', 0.938246488571167)], [[[1184.0, 2178.0], [1210.0, 2178.0], [1210.0, 2223.0], [1184.0, 2223.0]], ('T', 0.5309826135635376)], [[[1298.0, 2170.0], [1485.0, 2170.0], [1485.0, 2231.0], [1298.0, 2231.0]], ('$14.99', 0.9975880980491638)], [[[268.0, 2231.0], [529.0, 2231.0], [529.0, 2272.0], [268.0, 2272.0]], ('098081435', 0.9963494539260864)], [[[706.0, 2227.0], [945.0, 2227.0], [945.0, 2279.0], [706.0, 2279.0]], ('C9 RILLA', 0.9547961950302124)], [[[1298.0, 2227.0], [1482.0, 2227.0], [1482.0, 2279.0], [1298.0, 2279.0]], ('$27.99', 0.9979974627494812)], [[[268.0, 2279.0], [533.0, 2279.0], [533.0, 2332.0], [268.0, 2332.0]], ('205061930', 0.9984004497528076)], [[[706.0, 2279.0], [945.0, 2279.0], [945.0, 2332.0], [706.0, 2332.0]], ('MS SKIRT', 0.9502105712890625)], [[[1298.0, 2279.0], [1485.0, 2279.0], [1485.0, 2340.0], [1298.0, 2340.0]], ('$12.99', 0.9978187680244446)], [[[265.0, 2332.0], [533.0, 2332.0], [533.0, 2385.0], [265.0, 2385.0]], ('278050405', 0.9987183809280396)], [[[703.0, 2328.0], [971.0, 2336.0], [969.0, 2393.0], [702.0, 2384.0]], ('MEC SKIRT', 0.9636262059211731)], [[[1298.0, 2332.0], [1485.0, 2332.0], [1485.0, 2392.0], [1298.0, 2392.0]], ('$24.99', 0.9957151412963867)], [[[268.0, 2441.0], [772.0, 2441.0], [772.0, 2494.0], [268.0, 2494.0]], ('STATIONERY-OFFICE', 0.9944890141487122)], [[[266.0, 2486.0], [534.0, 2494.0], [532.0, 2551.0], [264.0, 2542.0]], ('053142601', 0.9968684315681458)], [[[702.0, 2494.0], [1029.0, 2494.0], [1029.0, 2547.0], [702.0, 2547.0]], ('FATHERS DAY', 0.968222439289093)], [[[1180.0, 2505.0], [1210.0, 2505.0], [1210.0, 2547.0], [1180.0, 2547.0]], ('I', 0.5461335182189941)], [[[1327.0, 2498.0], [1482.0, 2498.0], [1482.0, 2554.0], [1327.0, 2554.0]], ('$3.99', 0.9978286623954773)], [[[268.0, 2547.0], [537.0, 2547.0], [537.0, 2599.0], [268.0, 2599.0]], ('053142739', 0.9983670711517334)], [[[706.0, 2550.0], [1029.0, 2550.0], [1029.0, 2603.0], [706.0, 2603.0]], ('FATHERS DAY', 0.9599509835243225)], [[[1320.0, 2543.0], [1485.0, 2543.0], [1485.0, 2610.0], [1320.0, 2610.0]], ('$4.99', 0.9958140254020691)], [[[1180.0, 2554.0], [1210.0, 2554.0], [1210.0, 2599.0], [1180.0, 2599.0]], ('I', 0.6956120729446411)], [[[270.0, 2591.0], [537.0, 2600.0], [536.0, 2656.0], [268.0, 2648.0]], ('053142760', 0.9981105327606201)], [[[1320.0, 2588.0], [1489.0, 2588.0], [1489.0, 2671.0], [1320.0, 2671.0]], ('$4.99', 0.9926496744155884)], [[[706.0, 2607.0], [1029.0, 2607.0], [1029.0, 2656.0], [706.0, 2656.0]], ('FATHERS DAY', 0.9599009156227112)], [[[272.0, 2656.0], [537.0, 2656.0], [537.0, 2708.0], [272.0, 2708.0]], ('053272213', 0.9987185597419739)], [[[706.0, 2659.0], [1029.0, 2659.0], [1029.0, 2712.0], [706.0, 2712.0]], ('FATHERS DAY', 0.9538824558258057)], [[[1320.0, 2652.0], [1482.0, 2652.0], [1482.0, 2720.0], [1320.0, 2720.0]], ('$2.59', 0.9945544004440308)], [[[1180.0, 2663.0], [1210.0, 2663.0], [1210.0, 2708.0], [1180.0, 2708.0]], ('T', 0.5145905613899231)], [[[1324.0, 2704.0], [1412.0, 2704.0], [1412.0, 2768.0], [1324.0, 2768.0]], ('$2.', 0.9927207827568054)], [[[1395.0, 2699.0], [1484.0, 2709.0], [1477.0, 2773.0], [1388.0, 2763.0]], ('.99', 0.9772085547447205)], [[[279.0, 2712.0], [529.0, 2712.0], [529.0, 2753.0], [279.0, 2753.0]], ('053272247', 0.9975987672805786)], [[[710.0, 2712.0], [1033.0, 2712.0], [1033.0, 2765.0], [710.0, 2765.0]], ('FATHERS DAY', 0.9653456211090088)], [[[1180.0, 2716.0], [1210.0, 2716.0], [1210.0, 2765.0], [1180.0, 2765.0]], ('T.', 0.5877829790115356)], [[[273.0, 2749.0], [534.0, 2758.0], [532.0, 2814.0], [271.0, 2806.0]], ('053272261', 0.9982542395591736)], [[[706.0, 2765.0], [1033.0, 2765.0], [1033.0, 2817.0], [706.0, 2817.0]], ('FATHERS DAY', 0.9680534601211548)], [[[1320.0, 2757.0], [1482.0, 2757.0], [1482.0, 2825.0], [1320.0, 2825.0]], ('$2.99', 0.9935539364814758)], [[[276.0, 2859.0], [404.0, 2859.0], [404.0, 2915.0], [276.0, 2915.0]], ('MISC', 0.9960454106330872)], [[[272.0, 2915.0], [540.0, 2915.0], [540.0, 2968.0], [272.0, 2968.0]], ('039010226', 0.9913944602012634)], [[[707.0, 2915.0], [1037.0, 2923.0], [1036.0, 2976.0], [705.0, 2967.0]], ('C9GIRL TEE', 0.9541627168655396)], [[[1169.0, 2919.0], [1213.0, 2919.0], [1213.0, 2975.0], [1169.0, 2975.0]], ('T', 0.5537818670272827)], [[[1320.0, 2923.0], [1482.0, 2923.0], [1482.0, 2979.0], [1320.0, 2979.0]], ('$7.99', 0.9986667633056641)], [[[982.0, 3032.0], [1195.0, 3032.0], [1195.0, 3073.0], [982.0, 3073.0]], ('SUBTOTAL', 0.9648809432983398)], [[[1265.0, 3032.0], [1471.0, 3032.0], [1471.0, 3073.0], [1265.0, 3073.0]], ('$374.68', 0.8974126577377319)], [[[331.0, 3062.0], [493.0, 3062.0], [493.0, 3130.0], [331.0, 3130.0]], ('FLPC3', 0.9961482882499695)], [[[805.0, 3077.0], [1188.0, 3077.0], [1188.0, 3130.0], [805.0, 3130.0]], ('1% 0N $266.29', 0.8909425139427185)], [[[1320.0, 3081.0], [1474.0, 3081.0], [1474.0, 3133.0], [1320.0, 3133.0]], ('$2.66', 0.9965636134147644)], [[[839.0, 3125.0], [1294.0, 3134.0], [1294.0, 3183.0], [838.0, 3174.0]], ('TRANSACTION FEF', 0.9611575603485107)], [[[335.0, 3167.0], [1478.0, 3179.0], [1478.0, 3243.0], [334.0, 3231.0]], ('T=Fi.TAX 6.0000% on$377.34$22.65', 0.9010336399078369)], [[[1066.0, 3235.0], [1261.0, 3235.0], [1261.0, 3288.0], [1066.0, 3288.0]], ('TOTAL', 0.9543473124504089)], [[[1257.0, 3235.0], [1474.0, 3235.0], [1474.0, 3288.0], [1257.0, 3288.0]], ('$399.99', 0.9975478053092957)], [[[850.0, 3325.0], [1265.0, 3329.0], [1264.0, 3393.0], [849.0, 3389.0]], ('VISA CHAAGE', 0.9127508401870728)], [[[1257.0, 3333.0], [1471.0, 3333.0], [1471.0, 3385.0], [1257.0, 3385.0]], ('$399.99', 0.9952746033668518)], [[[632.0, 3434.0], [1180.0, 3434.0], [1180.0, 3487.0], [632.0, 3487.0]], ('INDICATES SAVINGS', 0.9822643399238586)], [[[372.0, 3520.0], [813.0, 3533.0], [811.0, 3597.0], [371.0, 3584.0]], ('Target Pharmacy', 0.9795398116111755)], [[[890.0, 3536.0], [1434.0, 3536.0], [1434.0, 3588.0], [890.0, 3588.0]], ("We're here to help!", 0.9157805442810059)]]	{"store_name": "TARGET", "store_addr": "", "telephone": "", "date": "06/17/2010", "time": "02:37PM", "subtotal": "$374.68", "tax": "$22.65", "total": "$399.99 $399.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "C9GIRLTEE", "item_value": "$7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FATHERSDAY", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FATHERSDAY", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FATHERSDAY", "item_value": "$2.59", "item_quantity": "1"}, {"item_key": "", "item_name": "FATHERSDAY", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FATHERSDAY", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FATHERSDAY", "item_value": "$3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MECSKIRT", "item_value": "$24.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MSSKIRT", "item_value": "$12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "C9RILLA", "item_value": "$27.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MSCWINDA", "item_value": "$14.99", "item_quantity": "1"}, {"item_key": "", "item_name": "C9HERMINA", "item_value": "$21.99", "item_quantity": "1"}, {"item_key": "", "item_name": "C9HERMINA", "item_value": "$21.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SCREENTEE", "item_value": "$12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "OSHENLEY", "item_value": "$14.99", "item_quantity": "1"}, {"item_key": "", "item_name": "OSSSTEE", "item_value": "$6.48", "item_quantity": "1"}, {"item_key": "", "item_name": "MESHORT", "item_value": "$15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MSDRESS", "item_value": "$14.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SSGRPHCTEE", "item_value": "$7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "XHTANK", "item_value": "$6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "XHSHORT", "item_value": "$6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "XHSHORT", "item_value": "$6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "XHTOP", "item_value": "$12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "XHTOP", "item_value": "$12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "XHLEGGING", "item_value": "$1.98", "item_quantity": "1"}, {"item_key": "", "item_name": "CR2FERTANK", "item_value": "$4.88", "item_quantity": "1"}, {"item_key": "", "item_name": "CRROMPER", "item_value": "$9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CRSCOOTER", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ASSETSVTANK", "item_value": "$24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MBTANK", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MBTANK", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MBTANK", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MEBERMUDA", "item_value": "$17.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MBSKIRT", "item_value": "$14.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[116.0, 28.0], [276.0, 28.0], [276.0, 41.0], [116.0, 41.0]], ('SILVERSMITHS', 0.983013391494751)], [[[88.0, 40.0], [300.0, 40.0], [300.0, 53.0], [88.0, 53.0]], ('.SILVERSMITHS-RESTAURANT.COM', 0.9698598980903625)], [[[120.0, 53.0], [272.0, 53.0], [272.0, 67.0], [120.0, 67.0]], ('111ARUNDEL STS12NT', 0.9373300075531006)], [[[139.0, 67.0], [252.0, 67.0], [252.0, 81.0], [139.0, 81.0]], ('VAT NO.973415995', 0.9501713514328003)], [[[52.0, 80.0], [84.0, 80.0], [84.0, 95.0], [52.0, 95.0]], ('DATE', 0.9974275827407837)], [[[159.0, 83.0], [230.0, 83.0], [230.0, 94.0], [159.0, 94.0]], ('29/05/2015', 0.9942914247512817)], [[[313.0, 80.0], [339.0, 80.0], [339.0, 96.0], [313.0, 96.0]], ('FRI', 0.9953624606132507)], [[[51.0, 97.0], [192.0, 97.0], [192.0, 111.0], [51.0, 111.0]], ('OPEN TABLE', 0.9525600671768188)], [[[307.0, 97.0], [336.0, 97.0], [336.0, 112.0], [307.0, 112.0]], ('#1', 0.9495235681533813)], [[[91.0, 114.0], [193.0, 114.0], [193.0, 128.0], [91.0, 128.0]], ('3 COURSE WKDAY', 0.9222356081008911)], [[[294.0, 114.0], [341.0, 114.0], [341.0, 129.0], [294.0, 129.0]], ('06613', 0.8427748680114746)], [[[90.0, 131.0], [192.0, 131.0], [192.0, 145.0], [90.0, 145.0]], ('3 COURSE WKDAY', 0.9255350232124329)], [[[293.0, 127.0], [342.0, 130.0], [341.0, 148.0], [292.0, 145.0]], ('19.90', 0.9917589426040649)], [[[89.0, 148.0], [191.0, 148.0], [191.0, 162.0], [89.0, 162.0]], ('2 COURSE WKDAY', 0.9339604377746582)], [[[293.0, 147.0], [342.0, 147.0], [342.0, 165.0], [293.0, 165.0]], ('17.90', 0.9902108311653137)], [[[87.0, 163.0], [192.0, 165.0], [192.0, 182.0], [86.0, 180.0]], ('2 COURSE WKDAY', 0.9291995763778687)], [[[293.0, 165.0], [342.0, 165.0], [342.0, 183.0], [293.0, 183.0]], ('17.90', 0.9927138090133667)], [[[87.0, 182.0], [192.0, 182.0], [192.0, 199.0], [87.0, 199.0]], ('2COURSE WKDAY', 0.9588642716407776)], [[[293.0, 181.0], [343.0, 183.0], [342.0, 201.0], [292.0, 199.0]], ('17.90', 0.9927509427070618)], [[[88.0, 198.0], [193.0, 200.0], [193.0, 217.0], [87.0, 215.0]], ('FARMERS BLONDE', 0.9629284739494324)], [[[300.0, 201.0], [343.0, 201.0], [343.0, 219.0], [300.0, 219.0]], ('4.95', 0.9886691570281982)], [[[87.0, 217.0], [222.0, 219.0], [222.0, 235.0], [86.0, 233.0]], ('PRIDE OF SHEFFIELD', 0.9483276009559631)], [[[300.0, 219.0], [343.0, 219.0], [343.0, 238.0], [300.0, 238.0]], ('4.95', 0.9967974424362183)], [[[88.0, 235.0], [215.0, 237.0], [215.0, 253.0], [87.0, 251.0]], ('APPLE+RASP COOLER', 0.9658597111701965)], [[[300.0, 236.0], [343.0, 238.0], [342.0, 257.0], [299.0, 255.0]], ('2.95', 0.9954962134361267)], [[[87.0, 254.0], [164.0, 254.0], [164.0, 271.0], [87.0, 271.0]], ('HOUSE WINE', 0.9553924798965454)], [[[293.0, 256.0], [343.0, 256.0], [343.0, 274.0], [293.0, 274.0]], ('17.25', 0.9916531443595886)], [[[81.0, 283.0], [190.0, 286.0], [189.0, 305.0], [80.0, 301.0]], ('SERVICE CHARGE', 0.9636000394821167)], [[[295.0, 287.0], [345.0, 290.0], [344.0, 308.0], [294.0, 305.0]], ('12.30', 0.9869356155395508)], [[[80.0, 302.0], [154.0, 302.0], [154.0, 319.0], [80.0, 319.0]], ('TOTAL', 0.9985524415969849)], [[[234.0, 303.0], [345.0, 308.0], [344.0, 326.0], [233.0, 321.0]], ('135.90', 0.9974112510681152)], [[[106.0, 320.0], [260.0, 325.0], [260.0, 342.0], [105.0, 337.0]], ('* STORE TABLE ', 0.9287398457527161)], [[[25.0, 337.0], [195.0, 343.0], [195.0, 360.0], [25.0, 354.0]], ('NO.000049 REG01 TRES', 0.9314721822738647)], [[[265.0, 341.0], [351.0, 345.0], [350.0, 366.0], [264.0, 362.0]], ('TIME 21:25', 0.9185280799865723)], [[[167.0, 363.0], [195.0, 363.0], [195.0, 379.0], [167.0, 379.0]], ('**', 0.9794669151306152)], [[[42.0, 380.0], [318.0, 386.0], [317.0, 404.0], [42.0, 398.0]], ('A 10% DESCRETIONARY SEVICE CHARGE', 0.9511911869049072)], [[[74.0, 403.0], [284.0, 407.0], [284.0, 424.0], [73.0, 420.0]], ('WILL BE ADDED TO BILLS 4+', 0.9158729314804077)], [[[73.0, 425.0], [284.0, 429.0], [284.0, 446.0], [72.0, 442.0]], ('THANK YOU FOR YOUR CUSTOM', 0.9306889176368713)]]	{"store_name": "SILVERSMITHS", "store_addr": "111ARUNDELST.S12NT", "telephone": "", "date": "29/05/2015", "time": "21:25", "subtotal": "", "tax": "", "total": "\u00a3135.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FARMERSBLONDE", "item_value": "\u00a319.90", "item_quantity": "1"}, {"item_key": "", "item_name": "COURSEWKDAY", "item_value": "\u00a319.90", "item_quantity": "1"}, {"item_key": "", "item_name": "COURSEWKDAY", "item_value": "\u00a317.90", "item_quantity": "1"}, {"item_key": "", "item_name": "COURSEWKDAY", "item_value": "\u00a317.90", "item_quantity": "1"}, {"item_key": "", "item_name": "COURSEWKDAY", "item_value": "\u00a317.90", "item_quantity": "1"}, {"item_key": "", "item_name": "COURSEWKDAY", "item_value": "\u00a34.95", "item_quantity": "1"}, {"item_key": "", "item_name": "PRIDEOFSHEFFIELD", "item_value": "\u00a34.95", "item_quantity": "1"}, {"item_key": "", "item_name": "APPLE+RASPCOOLER", "item_value": "\u00a32.95", "item_quantity": "1"}, {"item_key": "", "item_name": "HOUSEWINE", "item_value": "\u00a317.25", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[132.0, 5.0], [204.0, 10.0], [203.0, 24.0], [131.0, 18.0]], ('CashTerSARAH', 0.9040208458900452)], [[[131.0, 16.0], [189.0, 19.0], [188.0, 33.0], [130.0, 29.0]], ('TRANS4107', 0.9482394456863403)], [[[133.0, 75.0], [210.0, 79.0], [209.0, 92.0], [132.0, 88.0]], ('1.Cheesebrgr Anie', 0.7850585579872131)], [[[132.0, 85.0], [201.0, 88.0], [200.0, 101.0], [131.0, 98.0]], ('101-0b1Anina', 0.7762014865875244)], [[[270.0, 88.0], [292.0, 88.0], [292.0, 104.0], [270.0, 104.0]], ('3.85', 0.9520788788795471)], [[[272.0, 79.0], [291.0, 79.0], [291.0, 91.0], [272.0, 91.0]], ('2.70', 0.9900631308555603)], [[[131.0, 105.0], [184.0, 108.0], [183.0, 121.0], [130.0, 117.0]], ('1Anina Ery', 0.8514577746391296)], [[[132.0, 96.0], [158.0, 98.0], [156.0, 109.0], [131.0, 106.0]], ('1Fry', 0.8311545252799988)], [[[268.0, 109.0], [291.0, 109.0], [291.0, 124.0], [268.0, 124.0]], ('3.85', 0.9851762652397156)], [[[271.0, 100.0], [290.0, 100.0], [290.0, 113.0], [271.0, 113.0]], ('1.85', 0.9925252199172974)], [[[131.0, 114.0], [208.0, 119.0], [207.0, 132.0], [130.0, 127.0]], ('1 Reg Choco late Sk', 0.8661730885505676)], [[[132.0, 125.0], [194.0, 129.0], [193.0, 140.0], [131.0, 136.0]], ('1 Med Dtet Coke', 0.7908833026885986)], [[[269.0, 121.0], [289.0, 121.0], [289.0, 132.0], [269.0, 132.0]], ('2.45', 0.9800307750701904)], [[[270.0, 131.0], [289.0, 131.0], [289.0, 143.0], [270.0, 143.0]], ('1.60', 0.9884420037269592)], [[[124.0, 152.0], [167.0, 156.0], [166.0, 169.0], [123.0, 166.0]], ('AX7.25%', 0.8768591284751892)], [[[126.0, 143.0], [183.0, 148.0], [182.0, 161.0], [125.0, 156.0]], ('DRIVE--Eat In', 0.8518592119216919)], [[[263.0, 151.0], [289.0, 151.0], [289.0, 163.0], [263.0, 163.0]], ('16.30', 0.9920172691345215)], [[[127.0, 164.0], [168.0, 167.0], [167.0, 178.0], [126.0, 175.0]], ('Asount Due', 0.8441969752311707)], [[[266.0, 162.0], [288.0, 162.0], [288.0, 174.0], [266.0, 174.0]], ('1.18', 0.9807950854301453)], [[[126.0, 180.0], [172.0, 184.0], [171.0, 198.0], [125.0, 193.0]], ('Tender Visa', 0.8495022058486938)], [[[258.0, 173.0], [288.0, 173.0], [288.0, 184.0], [258.0, 184.0]], ('$17.48', 0.9025853276252747)], [[[124.0, 192.0], [153.0, 195.0], [152.0, 206.0], [123.0, 203.0]], ('Crange', 0.8920669555664062)], [[[256.0, 189.0], [288.0, 193.0], [287.0, 207.0], [255.0, 203.0]], ('$17.48', 0.9729833602905273)], [[[124.0, 210.0], [176.0, 216.0], [175.0, 227.0], [123.0, 221.0]], ('CHARSE-DETAIL', 0.9056432247161865)], [[[263.0, 202.0], [286.0, 205.0], [285.0, 217.0], [262.0, 214.0]], ('$.00', 0.9832070469856262)], [[[121.0, 240.0], [169.0, 240.0], [169.0, 254.0], [121.0, 254.0]], ('Card Type:', 0.9116050601005554)], [[[122.0, 231.0], [140.0, 231.0], [140.0, 242.0], [122.0, 242.0]], ('SALE', 0.9979104995727539)], [[[164.0, 241.0], [186.0, 245.0], [184.0, 257.0], [162.0, 253.0]], ('V1se', 0.7475316524505615)], [[[119.0, 257.0], [161.0, 260.0], [159.0, 273.0], [118.0, 270.0]], ('Ath Code:', 0.8263599872589111)], [[[122.0, 251.0], [154.0, 251.0], [154.0, 262.0], [122.0, 262.0]], ('iccount:', 0.8888628482818604)], [[[166.0, 252.0], [243.0, 261.0], [241.0, 273.0], [165.0, 264.0]], ('***********6635C', 0.7123016119003296)], [[[118.0, 267.0], [153.0, 269.0], [152.0, 283.0], [117.0, 280.0]], ('Tans', 0.7942206859588623)], [[[165.0, 262.0], [193.0, 265.0], [192.0, 276.0], [164.0, 272.0]], ('013362', 0.9959802627563477)], [[[117.0, 275.0], [154.0, 279.0], [152.0, 293.0], [115.0, 289.0]], ('uth Ref:', 0.7838917970657349)], [[[162.0, 280.0], [207.0, 287.0], [205.0, 300.0], [160.0, 293.0]], ('1794321213', 0.9933596849441528)], [[[164.0, 273.0], [185.0, 273.0], [185.0, 285.0], [164.0, 285.0]], ('4107', 0.9967434406280518)], [[[116.0, 286.0], [154.0, 292.0], [152.0, 303.0], [114.0, 297.0]], ('UTHANT', 0.8530838489532471)], [[[160.0, 291.0], [191.0, 295.0], [190.0, 309.0], [159.0, 305.0]], ('$17.48', 0.9358242154121399)], [[[160.0, 315.0], [229.0, 323.0], [228.0, 333.0], [159.0, 325.0]], ('MODIPED', 0.8836566209793091)], [[[149.0, 334.0], [188.0, 341.0], [187.0, 347.0], [147.0, 345.0]], ('THANK', 0.9609131813049316)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "16.30", "tax": "1.18", "total": "$17.48 $17.48 $17.48", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "AnimalFry", "item_value": "2.70", "item_quantity": "1"}, {"item_key": "", "item_name": "Fry", "item_value": "3.65", "item_quantity": "1"}, {"item_key": "", "item_name": "Dbl-DblAnimal", "item_value": "1.85", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.85", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.45", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.60", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[206.0, 3.0], [297.0, 6.0], [296.0, 20.0], [205.0, 17.0]], ('Table 36', 0.9281615018844604)], [[[347.0, 0.0], [426.0, 3.0], [425.0, 17.0], [346.0, 13.0]], ('Check16937', 0.9872967004776001)], [[[205.0, 22.0], [313.0, 27.0], [313.0, 40.0], [204.0, 35.0]], ('14:09:47 03/23/2013', 0.9389923214912415)], [[[206.0, 14.0], [249.0, 16.0], [248.0, 27.0], [205.0, 25.0]], ('Susan F', 0.8850582838058472)], [[[395.0, 32.0], [428.0, 34.0], [427.0, 48.0], [393.0, 46.0]], ('Gst4', 0.9498734474182129)], [[[216.0, 62.0], [331.0, 70.0], [330.0, 84.0], [214.0, 76.0]], ('1 Raspberry Lemonade', 0.9458501935005188)], [[[286.0, 56.0], [346.0, 60.0], [345.0, 74.0], [285.0, 70.0]], ('Guest No.1', 0.9145485758781433)], [[[214.0, 73.0], [308.0, 78.0], [307.0, 92.0], [213.0, 87.0]], ('1 D1SC COMP ITEM', 0.8743306398391724)], [[[400.0, 73.0], [428.0, 75.0], [426.0, 90.0], [398.0, 88.0]], ('2.80', 0.9932708144187927)], [[[213.0, 85.0], [311.0, 90.0], [310.0, 103.0], [212.0, 98.0]], ('1 Seafood Al fredo', 0.937748908996582)], [[[398.0, 84.0], [428.0, 86.0], [426.0, 101.0], [396.0, 99.0]], ('-2.80', 0.8957826495170593)], [[[214.0, 95.0], [308.0, 100.0], [307.0, 114.0], [213.0, 109.0]], ('1 D1SC COMP ITEM', 0.8848000168800354)], [[[396.0, 95.0], [428.0, 97.0], [427.0, 112.0], [394.0, 110.0]], ('16.25', 0.9778736233711243)], [[[236.0, 107.0], [357.0, 114.0], [356.0, 128.0], [235.0, 121.0]], ('Sub Shrimp w/Scal1ops', 0.8368278741836548)], [[[393.0, 106.0], [428.0, 108.0], [427.0, 122.0], [392.0, 120.0]], ('-16.25', 0.972125768661499)], [[[11.0, 125.0], [114.0, 119.0], [116.0, 157.0], [14.0, 163.0]], ('Tiwe', 0.6546957492828369)], [[[212.0, 117.0], [319.0, 122.0], [319.0, 136.0], [211.0, 131.0]], ('1 Sub Caesar Sal ad', 0.9138673543930054)], [[[235.0, 129.0], [318.0, 133.0], [318.0, 147.0], [234.0, 143.0]], ('DISC COMP ITEM', 0.8624677062034607)], [[[399.0, 138.0], [428.0, 140.0], [426.0, 155.0], [397.0, 153.0]], ('-2.95', 0.868458092212677)], [[[402.0, 130.0], [426.0, 130.0], [426.0, 142.0], [402.0, 142.0]], ('2.95', 0.9971060752868652)], [[[212.0, 161.0], [287.0, 165.0], [286.0, 178.0], [211.0, 174.0]], ('1 Soft Drink', 0.9309678077697754)], [[[286.0, 153.0], [346.0, 157.0], [345.0, 171.0], [285.0, 167.0]], ('Guest No.2', 0.9267888069152832)], [[[32.0, 170.0], [167.0, 168.0], [168.0, 199.0], [32.0, 201.0]], ('Marde', 0.7550340294837952)], [[[212.0, 172.0], [308.0, 177.0], [307.0, 191.0], [211.0, 186.0]], ('1DisC COMP ITEM', 0.8731243014335632)], [[[401.0, 172.0], [428.0, 172.0], [428.0, 187.0], [401.0, 187.0]], ('2.55', 0.9967867136001587)], [[[212.0, 183.0], [324.0, 189.0], [324.0, 203.0], [211.0, 197.0]], ('1 Malbec 1oz Sanple', 0.8599126935005188)], [[[212.0, 194.0], [308.0, 199.0], [307.0, 213.0], [211.0, 208.0]], ('1 L Caesar Salad', 0.927881121635437)], [[[401.0, 185.0], [426.0, 185.0], [426.0, 197.0], [401.0, 197.0]], ('2.55', 0.9957015514373779)], [[[56.0, 208.0], [186.0, 209.0], [186.0, 223.0], [56.0, 222.0]], ('ITALIAN RESTAURANT', 0.963683545589447)], [[[212.0, 206.0], [307.0, 210.0], [306.0, 224.0], [211.0, 220.0]], ('1 D1sC COMP ITEM', 0.8570853471755981)], [[[401.0, 203.0], [429.0, 207.0], [427.0, 222.0], [399.0, 218.0]], ('7.75', 0.9901238679885864)], [[[211.0, 217.0], [274.0, 221.0], [273.0, 234.0], [210.0, 230.0]], ('1 Add Soup', 0.9191826581954956)], [[[398.0, 217.0], [428.0, 217.0], [428.0, 233.0], [398.0, 233.0]], ('-7.75', 0.9714587330818176)], [[[233.0, 230.0], [318.0, 233.0], [318.0, 247.0], [232.0, 244.0]], ('Disc COMP ITEM', 0.8559009432792664)], [[[401.0, 228.0], [428.0, 228.0], [428.0, 243.0], [401.0, 243.0]], ('3.65', 0.9907270669937134)], [[[210.0, 240.0], [334.0, 246.0], [333.0, 259.0], [209.0, 253.0]], ('1x Chicken & Gnocch1', 0.8803006410598755)], [[[398.0, 238.0], [428.0, 240.0], [426.0, 255.0], [396.0, 253.0]], ('-3.65', 0.9517973065376282)], [[[210.0, 273.0], [257.0, 277.0], [256.0, 291.0], [208.0, 287.0]], ('1 Water', 0.9322070479393005)], [[[286.0, 265.0], [346.0, 269.0], [345.0, 283.0], [285.0, 279.0]], ('Guest No.3', 0.9457505345344543)], [[[209.0, 285.0], [297.0, 289.0], [296.0, 304.0], [208.0, 300.0]], ('1Soup & Salad', 0.9030346274375916)], [[[209.0, 296.0], [306.0, 301.0], [305.0, 315.0], [208.0, 310.0]], ('1D1SC COMP ITEM', 0.888810932636261)], [[[401.0, 293.0], [429.0, 295.0], [427.0, 310.0], [399.0, 308.0]], ('6.95', 0.9921707510948181)], [[[209.0, 309.0], [284.0, 312.0], [283.0, 325.0], [208.0, 322.0]], ('1 Minestrone', 0.9687051773071289)], [[[398.0, 305.0], [429.0, 307.0], [428.0, 322.0], [396.0, 320.0]], ('969-', 0.8300107717514038)], [[[209.0, 343.0], [341.0, 349.0], [340.0, 363.0], [208.0, 357.0]], ('1 Kids Chicken Fingers', 0.9196577668190002)], [[[284.0, 334.0], [345.0, 337.0], [344.0, 351.0], [283.0, 348.0]], ('Guest No.4', 0.9357559084892273)], [[[209.0, 355.0], [306.0, 358.0], [305.0, 372.0], [208.0, 369.0]], ('1 D1sC COMP ITEM', 0.8618686199188232)], [[[401.0, 350.0], [429.0, 352.0], [427.0, 368.0], [400.0, 366.0]], ('5.75', 0.9920623302459717)], [[[232.0, 369.0], [271.0, 369.0], [271.0, 383.0], [232.0, 383.0]], ('Grapes', 0.9974408745765686)], [[[400.0, 364.0], [429.0, 364.0], [429.0, 377.0], [400.0, 377.0]], ('-5.75', 0.8748512268066406)], [[[208.0, 378.0], [267.0, 381.0], [266.0, 394.0], [207.0, 391.0]], ('1xSalad', 0.9334908127784729)], [[[195.0, 412.0], [427.0, 418.0], [426.0, 435.0], [194.0, 429.0]], ('ID#2244 388483831', 0.9629865288734436)], [[[199.0, 443.0], [242.0, 443.0], [242.0, 450.0], [199.0, 450.0]], ('KXXXXK', 0.5794384479522705)], [[[211.0, 451.0], [384.0, 454.0], [383.0, 468.0], [211.0, 465.0]], ('We value your opinion. Please', 0.9008328914642334)], [[[213.0, 463.0], [362.0, 466.0], [362.0, 480.0], [213.0, 477.0]], ('tell us about your dining', 0.9345912337303162)], [[[212.0, 475.0], [374.0, 478.0], [374.0, 492.0], [212.0, 489.0]], ('experience by completing an', 0.9485865235328674)], [[[211.0, 487.0], [390.0, 490.0], [389.0, 504.0], [211.0, 501.0]], ('online survey within 7 days of', 0.9367347359657288)], [[[211.0, 499.0], [372.0, 502.0], [372.0, 516.0], [211.0, 513.0]], ('your visit.You could win a', 0.9436517953872681)], [[[211.0, 511.0], [390.0, 513.0], [390.0, 527.0], [211.0, 525.0]], ('$1.000 Grand Prize or 1 of 100', 0.8803110718727112)], [[[211.0, 523.0], [385.0, 526.0], [384.0, 540.0], [211.0, 537.0]], ('$50 prizes.Winners are dran', 0.9307472109794617)], [[[212.0, 538.0], [268.0, 538.0], [268.0, 549.0], [212.0, 549.0]], ('monthlyl!', 0.866618812084198)], [[[210.0, 560.0], [400.0, 562.0], [400.0, 576.0], [210.0, 574.0]], ('To complete the survey and enter', 0.9311961531639099)], [[[210.0, 573.0], [322.0, 575.0], [322.0, 588.0], [210.0, 586.0]], ('the contest, go to', 0.9121935367584229)], [[[210.0, 585.0], [385.0, 586.0], [384.0, 600.0], [210.0, 599.0]], ('www.OliveGardenSurvey.com and', 0.9035860300064087)], [[[211.0, 599.0], [386.0, 599.0], [386.0, 612.0], [211.0, 612.0]], ('enter the ID on this receipt.', 0.9208444952964783)], [[[209.0, 610.0], [408.0, 611.0], [408.0, 625.0], [209.0, 624.0]], ('NO PURCHASE NECESSARY.Vo1d where', 0.9301110506057739)], [[[209.0, 623.0], [408.0, 624.0], [408.0, 637.0], [209.0, 636.0]], ('prohibi ted. See Official Rules at', 0.8928634524345398)], [[[210.0, 636.0], [366.0, 636.0], [366.0, 649.0], [210.0, 649.0]], ('www.01iveGardenSurvey.com.', 0.9504266977310181)], [[[209.0, 661.0], [409.0, 661.0], [409.0, 674.0], [209.0, 674.0]], ('Valoramos su opinion. Complete la', 0.9198578000068665)], [[[208.0, 674.0], [385.0, 674.0], [385.0, 687.0], [208.0, 687.0]], ('encuesta sobre su experiencia', 0.9559885859489441)], [[[207.0, 687.0], [305.0, 687.0], [305.0, 700.0], [207.0, 700.0]], ('gastronomica en', 0.9625715017318726)], [[[206.0, 700.0], [364.0, 700.0], [364.0, 713.0], [206.0, 713.0]], ('www.011veGardenSurvey.com.', 0.9234236478805542)], [[[192.0, 715.0], [381.0, 715.0], [381.0, 722.0], [192.0, 722.0]], ('KXXXXXXRXXXXXXXXXXXXXXXXXXXXXXX', 0.6295067071914673)], [[[401.0, 714.0], [422.0, 714.0], [422.0, 721.0], [401.0, 721.0]], ('XXK', 0.701591432094574)], [[[190.0, 725.0], [359.0, 725.0], [359.0, 738.0], [190.0, 738.0]], ('OFFER EXPIRES Mar 302013', 0.9356935620307922)], [[[200.0, 777.0], [322.0, 777.0], [322.0, 790.0], [200.0, 790.0]], ('Duplicate', 0.9423083066940308)], [[[320.0, 776.0], [406.0, 776.0], [406.0, 789.0], [320.0, 789.0]], ('Receipt', 0.9937673807144165)], [[[235.0, 788.0], [313.0, 789.0], [313.0, 803.0], [235.0, 802.0]], ('Stored', 0.9980385899543762)], [[[308.0, 790.0], [382.0, 790.0], [382.0, 801.0], [308.0, 801.0]], ('Order', 0.9741725921630859)], [[[333.0, 815.0], [384.0, 815.0], [384.0, 829.0], [333.0, 829.0]], ('Subtotal', 0.9870132207870483)], [[[404.0, 813.0], [433.0, 813.0], [433.0, 828.0], [404.0, 828.0]], ('0.00', 0.9931299090385437)], [[[186.0, 868.0], [305.0, 868.0], [305.0, 882.0], [186.0, 882.0]], ('14:09:47 03/23/2013', 0.9483873248100281)], [[[296.0, 881.0], [432.0, 881.0], [432.0, 895.0], [296.0, 895.0]], ('Please pay this amount', 0.9489011764526367)], [[[298.0, 896.0], [355.0, 896.0], [355.0, 907.0], [298.0, 907.0]], ('Total', 0.9887503385543823)], [[[379.0, 893.0], [431.0, 891.0], [432.0, 906.0], [380.0, 908.0]], ('0.00', 0.9811779260635376)], [[[284.0, 932.0], [358.0, 934.0], [358.0, 951.0], [283.0, 949.0]], ('Change', 0.998751699924469)], [[[380.0, 933.0], [432.0, 933.0], [432.0, 947.0], [380.0, 947.0]], ('0.00', 0.9913530349731445)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "03/23/2013 03/23/2013", "time": "14:09:47 14:09:47", "subtotal": "0.00", "tax": "", "total": "0.00", "ignore": "\\", "tips": "", "line_items": [{"item_key": "", "item_name": "*Salad", "item_value": "2.80", "item_quantity": "1"}, {"item_key": "", "item_name": "KidsChickenFingers", "item_value": "16.25", "item_quantity": "1"}, {"item_key": "", "item_name": "Minestrone", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Soup&Salad", "item_value": "2.55", "item_quantity": "1"}, {"item_key": "", "item_name": "Water", "item_value": "7.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Chicken&Gnocchi", "item_value": "3.65", "item_quantity": "1"}, {"item_key": "", "item_name": "AddSoup", "item_value": "6.95", "item_quantity": "1"}, {"item_key": "", "item_name": "LCaesarSalad", "item_value": "5.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Malbec1ozSample", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SoftDrink", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SubCaesarSalad", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SeafoodAlfredo", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RaspberryLemonade", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[136.0, 170.0], [509.0, 166.0], [510.0, 188.0], [136.0, 191.0]], ('Kellner und Huhnlein', 0.9095121622085571)], [[[176.0, 194.0], [473.0, 191.0], [474.0, 212.0], [176.0, 216.0]], ('Gastronomie GmbH', 0.9721121788024902)], [[[269.0, 217.0], [394.0, 217.0], [394.0, 238.0], [269.0, 238.0]], ('Bahnhofstr.2', 0.9651718139648438)], [[[270.0, 240.0], [400.0, 239.0], [400.0, 258.0], [271.0, 259.0]], ('83646 Bad To1z', 0.9099176526069641)], [[[244.0, 263.0], [419.0, 261.0], [419.0, 281.0], [245.0, 283.0]], ('Tel.08041-7929407', 0.9626343846321106)], [[[253.0, 287.0], [419.0, 284.0], [419.0, 303.0], [253.0, 306.0]], ('Fax:08041-7929408', 0.9757919311523438)], [[[236.0, 309.0], [428.0, 306.0], [429.0, 326.0], [236.0, 330.0]], ('www.gasthaus-toelz.de', 0.9600356221199036)], [[[238.0, 332.0], [438.0, 331.0], [439.0, 350.0], [238.0, 351.0]], ('[email protected]', 0.9914954900741577)], [[[245.0, 376.0], [431.0, 373.0], [431.0, 395.0], [246.0, 397.0]], ('Ihre Rechnung Nr18', 0.9595030546188354)], [[[245.0, 400.0], [422.0, 398.0], [422.0, 416.0], [246.0, 418.0]], ('St.Nr.139-130-20078', 0.9819249510765076)], [[[159.0, 445.0], [230.0, 442.0], [230.0, 465.0], [160.0, 467.0]], ('Tisch 5', 0.9582928419113159)], [[[413.0, 441.0], [507.0, 438.0], [507.0, 461.0], [414.0, 463.0]], ('16.07.2012', 0.9925881624221802)], [[[141.0, 491.0], [265.0, 487.0], [265.0, 510.0], [141.0, 513.0]], ('Weibbier 0,51', 0.919046938419342)], [[[465.0, 486.0], [516.0, 483.0], [518.0, 506.0], [467.0, 509.0]], ('3,10', 0.9133591055870056)], [[[141.0, 534.0], [386.0, 531.0], [386.0, 554.0], [141.0, 557.0]], ('Kleines Gasthaus-Schnitzel', 0.9586366415023804)], [[[468.0, 529.0], [515.0, 529.0], [515.0, 553.0], [468.0, 553.0]], ('7,90', 0.9485582113265991)], [[[526.0, 531.0], [539.0, 531.0], [539.0, 548.0], [526.0, 548.0]], ('A', 0.9981790781021118)], [[[142.0, 581.0], [220.0, 581.0], [220.0, 604.0], [142.0, 604.0]], ('Espresso', 0.9959028363227844)], [[[471.0, 574.0], [516.0, 571.0], [518.0, 596.0], [473.0, 599.0]], ('1,90', 0.9526656270027161)], [[[528.0, 577.0], [541.0, 577.0], [541.0, 594.0], [528.0, 594.0]], ('A', 0.9987022876739502)], [[[140.0, 627.0], [284.0, 625.0], [285.0, 647.0], [140.0, 650.0]], ('Birnenbrand 2c1', 0.9642359018325806)], [[[472.0, 621.0], [519.0, 621.0], [519.0, 644.0], [472.0, 644.0]], ('2,50', 0.9525041580200195)], [[[530.0, 622.0], [543.0, 622.0], [543.0, 640.0], [530.0, 640.0]], ('A', 0.9987313151359558)], [[[140.0, 672.0], [192.0, 672.0], [192.0, 695.0], [140.0, 695.0]], ('Total', 0.9982045888900757)], [[[448.0, 668.0], [502.0, 668.0], [502.0, 691.0], [448.0, 691.0]], ('15,40', 0.9501123428344727)], [[[139.0, 697.0], [296.0, 693.0], [297.0, 716.0], [140.0, 719.0]], ('Umsatz 19% netto', 0.9419057369232178)], [[[392.0, 692.0], [473.0, 692.0], [473.0, 715.0], [392.0, 715.0]], ('12,94', 0.9395024180412292)], [[[531.0, 691.0], [549.0, 691.0], [549.0, 713.0], [531.0, 713.0]], ('A', 0.99909508228302)], [[[137.0, 720.0], [221.0, 716.0], [222.0, 739.0], [138.0, 743.0]], ('MwSt 19%', 0.8850056529045105)], [[[399.0, 716.0], [473.0, 716.0], [473.0, 738.0], [399.0, 738.0]], ('2,46', 0.8759782314300537)], [[[535.0, 715.0], [549.0, 715.0], [549.0, 735.0], [535.0, 735.0]], ('A', 0.9918118715286255)], [[[139.0, 745.0], [197.0, 745.0], [197.0, 764.0], [139.0, 764.0]], ('Bar', 0.9972813725471497)], [[[375.0, 740.0], [471.0, 738.0], [471.0, 760.0], [376.0, 763.0]], ('15,40', 0.9322013854980469)], [[[508.0, 740.0], [528.0, 740.0], [528.0, 758.0], [508.0, 758.0]], ('E', 0.683198869228363)], [[[316.0, 764.0], [368.0, 764.0], [368.0, 787.0], [316.0, 787.0]], ('19:29', 0.9727880358695984)], [[[178.0, 812.0], [503.0, 811.0], [503.0, 833.0], [178.0, 834.0]], ('Es bediente Sie Ihr Gasthaus-Team', 0.9577016234397888)], [[[199.0, 862.0], [484.0, 862.0], [484.0, 883.0], [199.0, 883.0]], ('Schon daB Sie bei uns waren.', 0.9276065230369568)], [[[135.0, 886.0], [554.0, 883.0], [554.0, 906.0], [135.0, 909.0]], ('Es hat uns Freude gemacht Sie zu bewirten', 0.9506626725196838)], [[[185.0, 913.0], [509.0, 910.0], [510.0, 931.0], [186.0, 934.0]], ('Vielen Dank und auf Wiedersehen.', 0.9613977670669556)]]	{"store_name": "GastronomieGmbH", "store_addr": "IhreRechnungNr:18 Bahnhofstr.2", "telephone": "08041-7929407", "date": "16.07.2012", "time": "19:29", "subtotal": "12,94\u20ac", "tax": "2,46\u20ac", "total": "15,40\u20ac 15,40\u20ac", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Birnenbrand2cl", "item_value": "3,10", "item_quantity": "1"}, {"item_key": "", "item_name": "Espresso", "item_value": "7,90", "item_quantity": "1"}, {"item_key": "", "item_name": "KleinesGasthaus-SchnitzeI", "item_value": "1,90", "item_quantity": "1"}, {"item_key": "", "item_name": "WeiBbier0,51", "item_value": "2,50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[56.0, 141.0], [180.0, 140.0], [180.0, 154.0], [56.0, 155.0]], ('2 Exhbit ion St Me1bourne', 0.8980024456977844)], [[[86.0, 154.0], [148.0, 150.0], [149.0, 164.0], [86.0, 168.0]], ('0392077444', 0.939314067363739)], [[[73.0, 166.0], [165.0, 162.0], [165.0, 176.0], [74.0, 180.0]], ('*ax Invaice ', 0.7485143542289734)], [[[72.0, 176.0], [166.0, 172.0], [166.0, 185.0], [73.0, 189.0]], ('ABN27116746439', 0.9469148516654968)], [[[22.0, 189.0], [67.0, 189.0], [67.0, 200.0], [22.0, 200.0]], ('TABLE:209', 0.9633927941322327)], [[[23.0, 201.0], [63.0, 201.0], [63.0, 212.0], [23.0, 212.0]], ('Covers:2', 0.890754222869873)], [[[49.0, 212.0], [83.0, 212.0], [83.0, 223.0], [49.0, 223.0]], ('Mythos', 0.9900780320167542)], [[[192.0, 205.0], [214.0, 205.0], [214.0, 220.0], [192.0, 220.0]], ('9.50', 0.976385772228241)], [[[51.0, 224.0], [97.0, 224.0], [97.0, 235.0], [51.0, 235.0]], ('Tanqueray', 0.9789913892745972)], [[[192.0, 217.0], [215.0, 217.0], [215.0, 232.0], [192.0, 232.0]], ("05'6", 0.7343381643295288)], [[[48.0, 234.0], [102.0, 232.0], [103.0, 246.0], [49.0, 248.0]], ('Crab Souva', 0.9296171069145203)], [[[190.0, 228.0], [216.0, 228.0], [216.0, 243.0], [190.0, 243.0]], ('14.00', 0.9912112355232239)], [[[50.0, 247.0], [103.0, 247.0], [103.0, 258.0], [50.0, 258.0]], ('Duck Souva', 0.9305925369262695)], [[[190.0, 240.0], [216.0, 240.0], [216.0, 255.0], [190.0, 255.0]], ('14.00', 0.9936405420303345)], [[[24.0, 251.0], [31.0, 251.0], [31.0, 258.0], [24.0, 258.0]], ('1', 0.619117796421051)], [[[50.0, 259.0], [71.0, 259.0], [71.0, 271.0], [50.0, 271.0]], ('FOD', 0.6477832198143005)], [[[190.0, 252.0], [217.0, 252.0], [217.0, 267.0], [190.0, 267.0]], ('23.50', 0.9828017950057983)], [[[25.0, 263.0], [30.0, 263.0], [30.0, 269.0], [25.0, 269.0]], ('E', 0.5707120895385742)], [[[49.0, 270.0], [98.0, 268.0], [99.0, 282.0], [50.0, 284.0]], ('Horfatiki', 0.8819997310638428)], [[[191.0, 264.0], [216.0, 264.0], [216.0, 276.0], [191.0, 276.0]], ('14.00', 0.9915211796760559)], [[[22.0, 294.0], [84.0, 290.0], [85.0, 304.0], [23.0, 308.0]], ('Total:', 0.9462051391601562)], [[[157.0, 287.0], [215.0, 283.0], [216.0, 297.0], [158.0, 301.0]], ('$84.50', 0.996182918548584)], [[[24.0, 317.0], [133.0, 310.0], [134.0, 324.0], [25.0, 331.0]], ('Total includes GST of', 0.8895705342292786)], [[[191.0, 308.0], [218.0, 308.0], [218.0, 321.0], [191.0, 321.0]], ('$7.68', 0.9823193550109863)], [[[23.0, 329.0], [153.0, 321.0], [153.0, 335.0], [24.0, 343.0]], ('Indicates GST free itens', 0.9051029086112976)], [[[87.0, 350.0], [164.0, 345.0], [164.0, 359.0], [87.0, 364.0]], ('8/01/169:59PM', 0.882857084274292)], [[[83.0, 363.0], [163.0, 358.0], [163.0, 373.0], [84.0, 378.0]], ('b111 no.8160591', 0.9178050756454468)], [[[104.0, 374.0], [151.0, 374.0], [151.0, 388.0], [104.0, 388.0]], ('EFHARISTO', 0.9948651194572449)]]	{"store_name": "", "store_addr": "2ExhaitionStMalbourne", "telephone": "0392077444", "date": "8/01/16", "time": "9:55PM", "subtotal": "", "tax": "$7.68", "total": "$84.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Mythos", "item_value": "9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Tanqueray", "item_value": "9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Crabsouva", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DuckSouva", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FOD", "item_value": "23.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Horlatiki", "item_value": "14.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[56.0, 45.0], [171.0, 43.0], [172.0, 56.0], [56.0, 58.0]], ('etts Ferry Road FSU 03277', 0.7897982001304626)], [[[69.0, 37.0], [157.0, 36.0], [158.0, 47.0], [69.0, 48.0]], ('Mlcome to Chick-fil-A', 0.7785201072692871)], [[[87.0, 55.0], [138.0, 53.0], [139.0, 64.0], [87.0, 66.0]], ('Dunwoody.GA', 0.718919038772583)], [[[78.0, 107.0], [164.0, 105.0], [164.0, 118.0], [78.0, 120.0]], ('11/5/201212:56:23', 0.9242339730262756)], [[[84.0, 99.0], [140.0, 99.0], [140.0, 109.0], [84.0, 109.0]], ('DUSTOMERCOPY', 0.9126209616661072)], [[[35.0, 126.0], [89.0, 126.0], [89.0, 137.0], [35.0, 137.0]], ('Drder Musber:', 0.8080340027809143)], [[[93.0, 117.0], [136.0, 117.0], [136.0, 127.0], [93.0, 127.0]], ('DRIVE THRU', 0.8915319442749023)], [[[95.0, 126.0], [112.0, 126.0], [112.0, 137.0], [95.0, 137.0]], ('150', 0.9913163781166077)], [[[32.0, 142.0], [92.0, 142.0], [92.0, 153.0], [32.0, 153.0]], ('2 Mea7-CFASan', 0.8243431448936462)], [[[50.0, 151.0], [87.0, 151.0], [87.0, 162.0], [50.0, 162.0]], ('CFA Sand', 0.9457924962043762)], [[[170.0, 143.0], [197.0, 143.0], [197.0, 154.0], [170.0, 154.0]], ('11.38', 0.8806148767471313)], [[[49.0, 169.0], [82.0, 169.0], [82.0, 180.0], [49.0, 180.0]], ('Coke ', 0.8990868330001831)], [[[50.0, 160.0], [86.0, 160.0], [86.0, 170.0], [50.0, 170.0]], ('FrlesD', 0.8916203379631042)], [[[36.0, 183.0], [88.0, 185.0], [88.0, 199.0], [35.0, 197.0]], ('Sb.Total', 0.9335757493972778)], [[[37.0, 196.0], [57.0, 198.0], [55.0, 210.0], [35.0, 208.0]], ('Tax:', 0.9305723905563354)], [[[171.0, 187.0], [202.0, 187.0], [202.0, 198.0], [171.0, 198.0]], ('$11.38', 0.9629693627357483)], [[[172.0, 206.0], [207.0, 206.0], [207.0, 220.0], [172.0, 220.0]], ('$12.18', 0.9523367285728455)], [[[175.0, 197.0], [204.0, 197.0], [204.0, 208.0], [175.0, 208.0]], ('$0.80', 0.9639185667037964)], [[[35.0, 208.0], [64.0, 208.0], [64.0, 218.0], [35.0, 218.0]], ('Total:', 0.9798060059547424)], [[[32.0, 228.0], [62.0, 230.0], [61.0, 242.0], [31.0, 240.0]], ('Change', 0.9943698048591614)], [[[179.0, 228.0], [208.0, 228.0], [208.0, 242.0], [179.0, 242.0]], ('$0.82', 0.955097496509552)], [[[29.0, 240.0], [83.0, 238.0], [84.0, 252.0], [29.0, 254.0]], ('Next Dollar', 0.9122405648231506)], [[[177.0, 241.0], [209.0, 241.0], [209.0, 252.0], [177.0, 252.0]], ('$13.00', 0.9924415946006775)], [[[12.0, 262.0], [69.0, 264.0], [68.0, 278.0], [11.0, 276.0]], ('Cashier:Two', 0.9478094577789307)], [[[15.0, 253.0], [64.0, 253.0], [64.0, 264.0], [15.0, 264.0]], ('Register:2', 0.9857599139213562)], [[[110.0, 253.0], [172.0, 253.0], [172.0, 264.0], [110.0, 264.0]], ('Tran Seq No', 0.9197431206703186)], [[[193.0, 253.0], [211.0, 253.0], [211.0, 265.0], [193.0, 265.0]], ('150', 0.997100830078125)], [[[33.0, 275.0], [187.0, 278.0], [186.0, 292.0], [33.0, 289.0]], ('It was a pleasure serving you', 0.9390243887901306)], [[[52.0, 289.0], [161.0, 291.0], [161.0, 305.0], [51.0, 303.0]], ('Have a wanderful day.', 0.9473368525505066)]]	{"store_name": "", "store_addr": "JattsFerryRoadFSU(#03277)", "telephone": "", "date": "11/5/2012", "time": "12:56:23PM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CokeMD", "item_value": "11.38", "item_quantity": "1"}, {"item_key": "", "item_name": "FriesMD", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CFASand", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[118.0, 22.0], [215.0, 25.0], [215.0, 39.0], [117.0, 36.0]], ('Black Bear Diner', 0.8872356414794922)], [[[112.0, 36.0], [217.0, 37.0], [217.0, 51.0], [112.0, 50.0]], ('1898 E.W1w St', 0.8287453055381775)], [[[100.0, 50.0], [230.0, 50.0], [230.0, 64.0], [100.0, 64.0]], ('Signa HfCA 90755', 0.8779831528663635)], [[[125.0, 64.0], [211.0, 64.0], [211.0, 78.0], [125.0, 78.0]], ('562513-7001', 0.9890430569648743)], [[[34.0, 87.0], [115.0, 90.0], [114.0, 107.0], [33.0, 104.0]], ('ServerIrma', 0.9568266868591309)], [[[234.0, 91.0], [298.0, 91.0], [298.0, 105.0], [234.0, 105.0]], ('09/02/2014', 0.9973076581954956)], [[[36.0, 104.0], [96.0, 104.0], [96.0, 119.0], [36.0, 119.0]], ('lable 1/1', 0.8723018169403076)], [[[253.0, 105.0], [300.0, 105.0], [300.0, 120.0], [253.0, 120.0]], ('9:32AM', 0.9177992939949036)], [[[34.0, 119.0], [94.0, 119.0], [94.0, 133.0], [34.0, 133.0]], ('Guests:1', 0.9364179968833923)], [[[267.0, 120.0], [301.0, 120.0], [301.0, 134.0], [267.0, 134.0]], ('30018', 0.9986228942871094)], [[[32.0, 146.0], [195.0, 148.0], [195.0, 163.0], [31.0, 161.0]], ('BBS Chicken Sausage & Egg', 0.9465309381484985)], [[[274.0, 144.0], [305.0, 147.0], [303.0, 163.0], [273.0, 160.0]], ("66'6", 0.8618634939193726)], [[[29.0, 162.0], [196.0, 163.0], [196.0, 177.0], [29.0, 176.0]], ('N/A JUICE OJ SM Fresh Sq', 0.9109705090522766)], [[[275.0, 162.0], [306.0, 162.0], [306.0, 177.0], [275.0, 177.0]], ('3.49', 0.9919940829277039)], [[[28.0, 192.0], [142.0, 192.0], [142.0, 206.0], [28.0, 206.0]], ('Complete Subtotal', 0.9483157992362976)], [[[273.0, 192.0], [309.0, 192.0], [309.0, 206.0], [273.0, 206.0]], ('13.48', 0.9956717491149902)], [[[30.0, 222.0], [86.0, 222.0], [86.0, 239.0], [30.0, 239.0]], ('2 Items', 0.9099835753440857)], [[[21.0, 255.0], [82.0, 255.0], [82.0, 272.0], [21.0, 272.0]], ('Subtotal', 0.9954442977905273)], [[[279.0, 252.0], [317.0, 252.0], [317.0, 270.0], [279.0, 270.0]], ('13.48', 0.9922012090682983)], [[[20.0, 271.0], [47.0, 274.0], [45.0, 290.0], [18.0, 287.0]], ('Tax', 0.9863564372062683)], [[[287.0, 270.0], [318.0, 270.0], [318.0, 286.0], [287.0, 286.0]], ('1.21', 0.9902356863021851)], [[[18.0, 306.0], [57.0, 306.0], [57.0, 325.0], [18.0, 325.0]], ('Total', 0.9972609281539917)], [[[285.0, 303.0], [324.0, 303.0], [324.0, 321.0], [285.0, 321.0]], ('14.69', 0.9922312498092651)], [[[15.0, 345.0], [180.0, 341.0], [181.0, 359.0], [15.0, 362.0]], ('Balance Due', 0.9611508846282959)], [[[255.0, 340.0], [327.0, 340.0], [327.0, 358.0], [255.0, 358.0]], ('14.69', 0.9970114827156067)], [[[116.0, 381.0], [228.0, 377.0], [229.0, 399.0], [117.0, 402.0]], ('Bear Corments?', 0.9388709664344788)], [[[54.0, 403.0], [290.0, 399.0], [290.0, 418.0], [55.0, 422.0]], ('Please send then to the den at', 0.9409465193748474)], [[[86.0, 424.0], [261.0, 421.0], [262.0, 438.0], [86.0, 441.0]], ('www.blackbeardiner.com', 0.9794216752052307)]]	{"store_name": "BlackBearDlner", "store_addr": "1898E.WillowSt. SignalHill,CA90755", "telephone": "(562)513-7001", "date": "09/02/2014", "time": "9:32AM", "subtotal": "13.48 13.48", "tax": "1.21", "total": "14.69 14.69", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[145.0, 4.0], [271.0, 29.0], [267.0, 46.0], [141.0, 21.0]], ('Te1:02078368368', 0.8349126577377319)], [[[221.0, 0.0], [271.0, 3.0], [269.0, 16.0], [220.0, 12.0]], ('MStreet', 0.8718313574790955)], [[[150.0, 21.0], [266.0, 43.0], [263.0, 60.0], [146.0, 38.0]], ('VAT174921491', 0.9350519776344299)], [[[53.0, 54.0], [169.0, 72.0], [166.0, 89.0], [50.0, 72.0]], ('CHK80', 0.9631258845329285)], [[[51.0, 73.0], [155.0, 88.0], [152.0, 105.0], [48.0, 90.0]], ('Pietro', 0.9892854690551758)], [[[224.0, 82.0], [330.0, 85.0], [329.0, 106.0], [224.0, 103.0]], ('TBL#50', 0.9035486578941345)], [[[49.0, 92.0], [209.0, 113.0], [206.0, 130.0], [46.0, 109.0]], ('07/01/201813:04:09', 0.9711043834686279)], [[[269.0, 103.0], [359.0, 98.0], [360.0, 116.0], [270.0, 121.0]], ('#7839', 0.8997518420219421)], [[[278.0, 120.0], [359.0, 115.0], [360.0, 132.0], [279.0, 137.0]], ('GUESTS3', 0.9819802045822144)], [[[46.0, 133.0], [217.0, 151.0], [215.0, 168.0], [45.0, 150.0]], ('Restaurant', 0.9964523315429688)], [[[62.0, 155.0], [156.0, 164.0], [155.0, 181.0], [61.0, 172.0]], ('[email protected]', 0.9746505618095398)], [[[82.0, 177.0], [195.0, 188.0], [193.0, 206.0], [80.0, 195.0]], ("Bill's Burger", 0.9378480911254883)], [[[336.0, 188.0], [381.0, 188.0], [381.0, 206.0], [336.0, 206.0]], ('23.00', 0.9777177572250366)], [[[61.0, 198.0], [180.0, 208.0], [179.0, 226.0], [60.0, 217.0]], ('1 Lamb Burger', 0.9396271109580994)], [[[342.0, 207.0], [385.0, 207.0], [385.0, 225.0], [342.0, 225.0]], ('14.95', 0.9946346282958984)], [[[57.0, 222.0], [157.0, 226.0], [156.0, 247.0], [56.0, 243.0]], ('[email protected]', 0.9750919938087463)], [[[76.0, 248.0], [157.0, 250.0], [156.0, 270.0], [75.0, 268.0]], ('Estrella', 0.993877112865448)], [[[348.0, 249.0], [393.0, 247.0], [394.0, 266.0], [349.0, 268.0]], ('13.05', 0.9957562685012817)], [[[36.0, 275.0], [126.0, 275.0], [126.0, 293.0], [36.0, 293.0]], ('SUBTOTAL:', 0.9777745008468628)], [[[351.0, 271.0], [398.0, 269.0], [399.0, 288.0], [352.0, 291.0]], ('51.00', 0.9970024824142456)], [[[36.0, 302.0], [263.0, 302.0], [263.0, 319.0], [36.0, 319.0]], ('12.5% 0pt Service Charge', 0.9183856844902039)], [[[365.0, 294.0], [404.0, 294.0], [404.0, 313.0], [365.0, 313.0]], ('6.38', 0.9809791445732117)], [[[30.0, 326.0], [66.0, 326.0], [66.0, 351.0], [30.0, 351.0]], ('WS3', 0.9839097857475281)], [[[219.0, 325.0], [303.0, 320.0], [304.0, 341.0], [220.0, 346.0]], ('T#0000165', 0.9956318736076355)], [[[32.0, 355.0], [149.0, 351.0], [150.0, 372.0], [33.0, 376.0]], ('TOTAL:', 0.980695903301239)], [[[307.0, 346.0], [410.0, 339.0], [411.0, 359.0], [308.0, 366.0]], ('57.38', 0.9895750880241394)], [[[248.0, 398.0], [430.0, 382.0], [431.0, 403.0], [249.0, 419.0]], ('07/01/201813:59:56', 0.9674292802810669)], [[[23.0, 413.0], [168.0, 402.0], [169.0, 423.0], [24.0, 434.0]], ('Last Serviced', 0.9817140102386475)]]	{"store_name": "", "store_addr": "", "telephone": "02078388368", "date": "07/01/2018 07/01/2018", "time": "13:59:56 13:04:09", "subtotal": "", "tax": "", "total": "\uffe157.38", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Estrella", "item_value": "23.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LambBurger", "item_value": "14.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Bill'sBurger", "item_value": "13.05", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "51.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[134.0, 108.0], [207.0, 108.0], [207.0, 131.0], [134.0, 131.0]], ('ESPRESSU EAR', 0.7028689980506897)], [[[45.0, 163.0], [81.0, 163.0], [81.0, 174.0], [45.0, 174.0]], ('Pax:1', 0.7720178365707397)], [[[118.0, 160.0], [188.0, 164.0], [187.0, 178.0], [117.0, 175.0]], ('OpCashier1', 0.8323060870170593)], [[[43.0, 171.0], [141.0, 172.0], [141.0, 186.0], [43.0, 185.0]], ('POS 7itle:POS001', 0.7974071502685547)], [[[245.0, 164.0], [296.0, 164.0], [296.0, 178.0], [245.0, 178.0]], ('Cashier1', 0.9266731142997742)], [[[42.0, 183.0], [152.0, 183.0], [152.0, 196.0], [42.0, 196.0]], ('Rcpt#-A11000035434', 0.9000310897827148)], [[[198.0, 184.0], [298.0, 185.0], [298.0, 199.0], [197.0, 198.0]], ('31/12/201122:12', 0.9692450165748596)], [[[220.0, 175.0], [285.0, 175.0], [285.0, 186.0], [220.0, 186.0]], ('PUS:PDSO01', 0.7802473306655884)], [[[53.0, 203.0], [128.0, 205.0], [128.0, 220.0], [52.0, 218.0]], ('1 Cafe Mocha', 0.9122344851493835)], [[[52.0, 213.0], [156.0, 215.0], [155.0, 232.0], [51.0, 230.0]], ('1 Cold Cafe Mocha', 0.9134802222251892)], [[[261.0, 204.0], [304.0, 204.0], [304.0, 237.0], [261.0, 237.0]], ('68', 0.5212267637252808)], [[[62.0, 238.0], [112.0, 238.0], [112.0, 253.0], [62.0, 253.0]], ('SUBTOTAL', 0.9876823425292969)], [[[61.0, 248.0], [124.0, 250.0], [123.0, 265.0], [61.0, 263.0]], ('Inc.7%GST', 0.9100828170776367)], [[[260.0, 241.0], [300.0, 241.0], [300.0, 256.0], [260.0, 256.0]], ('$12.00', 0.9729116559028625)], [[[266.0, 253.0], [301.0, 253.0], [301.0, 268.0], [266.0, 268.0]], ('$0.79', 0.9936735033988953)], [[[60.0, 270.0], [120.0, 272.0], [119.0, 290.0], [60.0, 287.0]], ('TOTAL', 0.997886061668396)], [[[223.0, 273.0], [303.0, 275.0], [302.0, 293.0], [222.0, 291.0]], ('$12.00', 0.9949541091918945)], [[[59.0, 283.0], [88.0, 286.0], [86.0, 301.0], [57.0, 298.0]], ('CASH', 0.9969716668128967)], [[[58.0, 296.0], [98.0, 300.0], [97.0, 315.0], [56.0, 311.0]], ('Change', 0.9969533085823059)], [[[261.0, 289.0], [303.0, 289.0], [303.0, 303.0], [261.0, 303.0]], ('$50.00', 0.9618351459503174)], [[[262.0, 300.0], [305.0, 303.0], [304.0, 318.0], [261.0, 315.0]], ('$38.00', 0.9931101202964783)], [[[132.0, 322.0], [203.0, 325.0], [202.0, 340.0], [131.0, 337.0]], ('Closed Bil', 0.9080093502998352)], [[[105.0, 333.0], [214.0, 337.0], [214.0, 354.0], [105.0, 350.0]], ('31/12/201122:13', 0.9707880616188049)], [[[116.0, 346.0], [224.0, 351.0], [223.0, 368.0], [115.0, 363.0]], ('8 Ann Siang Hi11', 0.889196515083313)], [[[133.0, 371.0], [219.0, 375.0], [218.0, 390.0], [132.0, 387.0]], ('Tel:52248502', 0.9163198471069336)], [[[138.0, 363.0], [194.0, 363.0], [194.0, 374.0], [138.0, 374.0]], ('S(069788)', 0.9456344246864319)], [[[86.0, 383.0], [246.0, 389.0], [245.0, 402.0], [86.0, 396.0]], ('email.infoshots.com.sg', 0.8665835857391357)], [[[135.0, 406.0], [213.0, 409.0], [213.0, 423.0], [134.0, 420.0]], ('Thank You', 0.9281289577484131)], [[[112.0, 416.0], [224.0, 421.0], [223.0, 435.0], [111.0, 430.0]], ('Please Eome Again', 0.8926863670349121)]]	{"store_name": "ESPRESSDBAR SHOTS", "store_addr": "S(069788) 8AnnSiangHill", "telephone": "62248502", "date": "31/12/2011 31/12/2011", "time": "22:13", "subtotal": "$12.00", "tax": "$0.79", "total": "$12.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ColdCafeMocha", "item_value": "$5.80", "item_quantity": "1"}, {"item_key": "", "item_name": "CafeMocha", "item_value": "$6.20", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[122.0, 15.0], [229.0, 17.0], [229.0, 35.0], [122.0, 33.0]], ('Cibo Wine Bar', 0.9522342681884766)], [[[115.0, 37.0], [238.0, 37.0], [238.0, 54.0], [115.0, 54.0]], ('45 Miracle Mile', 0.9339213967323303)], [[[99.0, 55.0], [262.0, 58.0], [262.0, 75.0], [98.0, 72.0]], ('Coral Gables Florida', 0.9550430178642273)], [[[9.0, 93.0], [132.0, 96.0], [132.0, 114.0], [9.0, 111.0]], ('Server:Gustavo', 0.9526572823524475)], [[[272.0, 97.0], [352.0, 97.0], [352.0, 115.0], [272.0, 115.0]], ('12/01/2012', 0.9978984594345093)], [[[9.0, 113.0], [101.0, 116.0], [100.0, 134.0], [9.0, 131.0]], ('Table 302/1', 0.9309934377670288)], [[[293.0, 118.0], [353.0, 118.0], [353.0, 136.0], [293.0, 136.0]], ('9:21PM', 0.9584202766418457)], [[[9.0, 136.0], [86.0, 136.0], [86.0, 153.0], [9.0, 153.0]], ('Guests:2', 0.9416564106941223)], [[[309.0, 137.0], [353.0, 137.0], [353.0, 156.0], [309.0, 156.0]], ('50026', 0.9991986155509949)], [[[7.0, 174.0], [68.0, 176.0], [67.0, 194.0], [7.0, 192.0]], ('Lasagna', 0.994166374206543)], [[[310.0, 177.0], [352.0, 177.0], [352.0, 195.0], [310.0, 195.0]], ('17.00', 0.9952176213264465)], [[[8.0, 194.0], [132.0, 196.0], [132.0, 212.0], [8.0, 210.0]], ('Seafood Risotto', 0.9795859456062317)], [[[310.0, 197.0], [352.0, 197.0], [352.0, 215.0], [310.0, 215.0]], ('18.00', 0.997025191783905)], [[[7.0, 214.0], [132.0, 215.0], [132.0, 232.0], [7.0, 231.0]], ('Pinot Willamett', 0.939934492111206)], [[[310.0, 216.0], [352.0, 216.0], [352.0, 235.0], [310.0, 235.0]], ('11.00', 0.9939565658569336)], [[[6.0, 232.0], [108.0, 235.0], [108.0, 253.0], [6.0, 250.0]], ('Malbec Alamo', 0.9268754124641418)], [[[316.0, 236.0], [352.0, 236.0], [352.0, 255.0], [316.0, 255.0]], ('8.00', 0.9958452582359314)], [[[8.0, 272.0], [74.0, 272.0], [74.0, 290.0], [8.0, 290.0]], ('Subtotal', 0.9936820268630981)], [[[309.0, 273.0], [353.0, 276.0], [352.0, 295.0], [308.0, 292.0]], ('54.00', 0.993492603302002)], [[[7.0, 292.0], [36.0, 292.0], [36.0, 311.0], [7.0, 311.0]], ('Tax', 0.9941278100013733)], [[[315.0, 295.0], [352.0, 295.0], [352.0, 314.0], [315.0, 314.0]], ('4.32', 0.9962813854217529)], [[[8.0, 329.0], [50.0, 332.0], [48.0, 352.0], [7.0, 349.0]], ('Total', 0.9974535703659058)], [[[309.0, 334.0], [352.0, 334.0], [352.0, 354.0], [309.0, 354.0]], ('58.32', 0.9955366253852844)], [[[7.0, 371.0], [188.0, 373.0], [188.0, 393.0], [7.0, 391.0]], ('Balance Due', 0.9518139362335205)], [[[269.0, 375.0], [350.0, 375.0], [350.0, 393.0], [269.0, 393.0]], ('58.32', 0.9950963854789734)], [[[139.0, 413.0], [220.0, 413.0], [220.0, 431.0], [139.0, 431.0]], ('Thank You!', 0.9269474148750305)]]	{"store_name": "CiboWineBar", "store_addr": "45MiracleMile CoralGablesFlorida", "telephone": "", "date": "12/01/2012", "time": "9:21PM", "subtotal": "54.00", "tax": "4.32", "total": "58.32 58.32", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Lasagna", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SeafoodRisotto", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PinotWillamett", "item_value": "11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MalbecAlamo", "item_value": "8.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[202.0, 190.0], [422.0, 190.0], [422.0, 211.0], [202.0, 211.0]], ('316LLUTICENTER', 0.7313679456710815)], [[[50.0, 220.0], [159.0, 220.0], [159.0, 248.0], [50.0, 248.0]], ('PORTLAND', 0.9654517769813538)], [[[253.0, 223.0], [570.0, 223.0], [570.0, 246.0], [253.0, 246.0]], ('TELEPHONE(503) 208-6885', 0.8158038854598999)], [[[57.0, 322.0], [118.0, 322.0], [118.0, 355.0], [57.0, 355.0]], ('SALE', 0.9975854158401489)], [[[368.0, 325.0], [553.0, 325.0], [553.0, 351.0], [368.0, 351.0]], ('360000160671', 0.9859843254089355)], [[[251.0, 360.0], [557.0, 361.0], [557.0, 385.0], [251.0, 384.0]], ('0023 09/09/9912-00 PM', 0.9132630228996277)], [[[60.0, 428.0], [143.0, 428.0], [143.0, 456.0], [60.0, 456.0]], ('574293', 0.9965659976005554)], [[[487.0, 427.0], [558.0, 427.0], [558.0, 456.0], [487.0, 456.0]], ("56'65", 0.736860454082489)], [[[247.0, 459.0], [314.0, 459.0], [314.0, 489.0], [247.0, 489.0]], ('TOTAL', 0.9964869618415833)], [[[477.0, 461.0], [559.0, 461.0], [559.0, 489.0], [477.0, 489.0]], ('$59.95', 0.9720564484596252)], [[[246.0, 496.0], [316.0, 496.0], [316.0, 524.0], [246.0, 524.0]], ('CHECK', 0.9900875091552734)], [[[488.0, 496.0], [558.0, 496.0], [558.0, 524.0], [488.0, 524.0]], ('50.00', 0.9899015426635742)], [[[247.0, 529.0], [317.0, 529.0], [317.0, 558.0], [247.0, 558.0]], ('CHECK', 0.9943730235099792)], [[[488.0, 529.0], [559.0, 529.0], [559.0, 558.0], [488.0, 558.0]], ('50.00', 0.9887279272079468)], [[[141.0, 565.0], [222.0, 565.0], [222.0, 592.0], [141.0, 592.0]], ('DUE', 0.7611017227172852)], [[[246.0, 565.0], [459.0, 563.0], [460.0, 589.0], [246.0, 591.0]], ('CUSTOMEE', 0.8643566370010376)], [[[247.0, 598.0], [330.0, 598.0], [330.0, 627.0], [247.0, 627.0]], ('CHANGE', 0.9958613514900208)], [[[490.0, 596.0], [560.0, 596.0], [560.0, 626.0], [490.0, 626.0]], ('40.05', 0.914290726184845)], [[[95.0, 669.0], [500.0, 669.0], [500.0, 692.0], [95.0, 692.0]], ('THONK YOU FOR SHOPPING J.K.GILL', 0.8195515275001526)]]	{"store_name": "J.K.GILL#23", "store_addr": "1316LLOYDCENTER PORTLAND", "telephone": "(503)288-6885", "date": "09/09/89", "time": "12:00PM", "subtotal": "", "tax": "", "total": "$59.95", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[239.0, 71.0], [537.0, 66.0], [537.0, 83.0], [239.0, 88.0]], ('So Accurate...Tells You How', 0.9544302821159363)], [[[468.0, 117.0], [516.0, 117.0], [516.0, 127.0], [468.0, 127.0]], ('Conception', 0.9784808158874512)], [[[3.0, 130.0], [272.0, 121.0], [274.0, 186.0], [5.0, 195.0]], ('arblue', 0.9968329071998596)], [[[305.0, 137.0], [444.0, 135.0], [445.0, 158.0], [305.0, 160.0]], ('DIGITAL', 0.99541175365448)], [[[472.0, 134.0], [509.0, 134.0], [509.0, 144.0], [472.0, 144.0]], ('Pragnant', 0.9276608228683472)], [[[293.0, 171.0], [493.0, 169.0], [493.0, 183.0], [293.0, 185.0]], ('With Conception Indicator', 0.9590880870819092)], [[[0.0, 212.0], [97.0, 203.0], [99.0, 231.0], [1.0, 240.0]], ('cyTest', 0.9282186627388)], [[[481.0, 214.0], [538.0, 205.0], [539.0, 222.0], [483.0, 231.0]], ('Clearblo', 0.9129500389099121)], [[[1.0, 253.0], [163.0, 247.0], [164.0, 269.0], [2.0, 275.0]], ('ACCURATE', 0.9919906854629517)], [[[0.0, 282.0], [210.0, 277.0], [211.0, 294.0], [0.0, 299.0]], ('commended by Doctors', 0.9597735404968262)], [[[218.0, 395.0], [372.0, 395.0], [372.0, 408.0], [218.0, 408.0]], ('OU FUR SHUPPING AT ASDA', 0.827814519405365)], [[[217.0, 438.0], [298.0, 438.0], [298.0, 463.0], [217.0, 463.0]], ('ASDA', 0.9897830486297607)], [[[204.0, 466.0], [307.0, 459.0], [309.0, 495.0], [206.0, 502.0]], ('Price', 0.9980640411376953)], [[[218.0, 506.0], [295.0, 506.0], [295.0, 520.0], [218.0, 520.0]], ('GUARANTEE', 0.9963718056678772)], [[[133.0, 543.0], [383.0, 549.0], [383.0, 565.0], [133.0, 559.0]], ('SDA SAVING YOU MONEY EVERY DAY', 0.8868032097816467)], [[[174.0, 572.0], [339.0, 574.0], [338.0, 591.0], [174.0, 589.0]], ('Check your recelpt onlino at', 0.8897806406021118)], [[[149.0, 587.0], [362.0, 592.0], [362.0, 607.0], [149.0, 602.0]], ('www.ASDA.com/priceguarantee', 0.9823571443557739)], [[[213.0, 631.0], [295.0, 631.0], [295.0, 648.0], [213.0, 648.0]], ('ASDA LIVING', 0.9513418078422546)], [[[215.0, 643.0], [301.0, 646.0], [300.0, 660.0], [214.0, 657.0]], ('WUW.ASDA.COM', 0.8234376907348633)], [[[169.0, 654.0], [337.0, 658.0], [336.0, 672.0], [169.0, 668.0]], ('MANAGER NICHOLAS FARMER', 0.9554955959320068)], [[[169.0, 667.0], [343.0, 670.0], [342.0, 685.0], [169.0, 682.0]], ('TELEPHONE02476 629580', 0.9556966423988342)], [[[127.0, 678.0], [343.0, 684.0], [342.0, 698.0], [127.0, 692.0]], ('BINLEY PARK,COVENTRY CV3 2XA', 0.9293919801712036)], [[[114.0, 690.0], [214.0, 692.0], [213.0, 709.0], [114.0, 707.0]], ('ST4523OP', 0.8785833120346069)], [[[209.0, 693.0], [357.0, 698.0], [356.0, 711.0], [208.0, 706.0]], ('00000112TE.76 TR.', 0.913490355014801)], [[[115.0, 703.0], [169.0, 705.0], [168.0, 719.0], [114.0, 717.0]], ('NAPPIES', 0.9944801330566406)], [[[354.0, 696.0], [394.0, 698.0], [393.0, 713.0], [353.0, 711.0]], ('08848', 0.993687629699707)], [[[113.0, 715.0], [197.0, 717.0], [196.0, 734.0], [113.0, 732.0]], ('MUFFIN TRAY', 0.9497260451316833)], [[[210.0, 707.0], [299.0, 707.0], [299.0, 721.0], [210.0, 721.0]], ('401540060265', 0.9910783171653748)], [[[340.0, 708.0], [395.0, 710.0], [395.0, 727.0], [339.0, 725.0]], ('14.00D', 0.9323220252990723)], [[[209.0, 720.0], [298.0, 720.0], [298.0, 734.0], [209.0, 734.0]], ('505407032538', 0.9960184097290039)], [[[114.0, 730.0], [173.0, 732.0], [172.0, 747.0], [113.0, 745.0]], ('TEST KIT', 0.9360280632972717)], [[[209.0, 733.0], [299.0, 733.0], [299.0, 747.0], [209.0, 747.0]], ('501314705593', 0.9897691607475281)], [[[347.0, 733.0], [396.0, 735.0], [395.0, 753.0], [346.0, 751.0]], ('0.02D', 0.8661620020866394)], [[[348.0, 724.0], [394.0, 724.0], [394.0, 738.0], [348.0, 738.0]], ('3.00V', 0.9770046472549438)], [[[267.0, 760.0], [304.0, 760.0], [304.0, 775.0], [267.0, 775.0]], ('TOTAL', 0.9979695081710815)], [[[341.0, 762.0], [389.0, 762.0], [389.0, 780.0], [341.0, 780.0]], ('17.02', 0.9851647615432739)], [[[273.0, 773.0], [306.0, 775.0], [305.0, 790.0], [272.0, 788.0]], ('CARD', 0.9965759515762329)], [[[236.0, 784.0], [307.0, 787.0], [306.0, 804.0], [235.0, 801.0]], ('TOTALEPS', 0.9948233366012573)], [[[341.0, 776.0], [388.0, 776.0], [388.0, 791.0], [341.0, 791.0]], ('17.02', 0.9947961568832397)], [[[340.0, 786.0], [389.0, 788.0], [388.0, 807.0], [339.0, 805.0]], ('17.02', 0.9806440472602844)], [[[106.0, 808.0], [200.0, 811.0], [199.0, 829.0], [105.0, 826.0]], ('EPS NO.952', 0.9080484509468079)], [[[105.0, 821.0], [244.0, 826.0], [244.0, 843.0], [104.0, 838.0]], ('AID A0000000031010', 0.9715322852134705)], [[[104.0, 835.0], [250.0, 840.0], [250.0, 856.0], [103.0, 851.0]], ('APP EFFECTIVE DATE:', 0.9194340705871582)], [[[103.0, 849.0], [306.0, 855.0], [305.0, 872.0], [102.0, 866.0]], ('CT40CV6401FBFA6857112A', 0.9862060546875)], [[[279.0, 840.0], [344.0, 842.0], [343.0, 859.0], [279.0, 857.0]], ('01/04/14', 0.9872698783874512)], [[[101.0, 876.0], [181.0, 878.0], [180.0, 895.0], [100.0, 893.0]], ('VISA DEBIT', 0.949867844581604)], [[[101.0, 890.0], [204.0, 893.0], [203.0, 910.0], [100.0, 907.0]], ('Pin Verified', 0.9480387568473816)], [[[99.0, 903.0], [312.0, 909.0], [311.0, 926.0], [98.0, 920.0]], ('A/CN.7016', 0.9189807176589966)], [[[100.0, 916.0], [272.0, 922.0], [272.0, 939.0], [99.0, 933.0]], ('EXPIRY DATE FROM05/17', 0.9369389414787292)], [[[369.0, 909.0], [399.0, 909.0], [399.0, 928.0], [369.0, 928.0]], ('10', 0.8809367418289185)], [[[100.0, 929.0], [279.0, 936.0], [278.0, 953.0], [99.0, 946.0]], ('TERMINAL No.0070730588', 0.9450721740722656)]]	{"store_name": "ASDA ASDASAVINGYOUMONEYEVERYDAY", "store_addr": "BINLEYPARK,COVENTRYCV32XA", "telephone": "", "date": "01/04/14", "time": "", "subtotal": "", "tax": "", "total": "\u00a317.02 \u00a317.02", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "NAPPIES", "item_value": "\u00a314.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MUFFINTRAY", "item_value": "\u00a33.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TESTKIT", "item_value": "\u00a30.02", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[40.0, 31.0], [259.0, 28.0], [259.0, 45.0], [41.0, 48.0]], ('See back af receipt far yaur chance', 0.9102774858474731)], [[[42.0, 46.0], [119.0, 42.0], [120.0, 56.0], [43.0, 60.0]], ('TO U1R S1000', 0.6478678584098816)], [[[44.0, 66.0], [76.0, 66.0], [76.0, 80.0], [44.0, 80.0]], ('108', 0.684703528881073)], [[[94.0, 64.0], [163.0, 64.0], [163.0, 78.0], [94.0, 78.0]], ('TKZEQOSPECL', 0.5713678598403931)], [[[47.0, 132.0], [222.0, 132.0], [222.0, 170.0], [47.0, 170.0]], ('Walmart', 0.9881590008735657)], [[[47.0, 172.0], [222.0, 172.0], [222.0, 189.0], [47.0, 189.0]], ('Save money.Live better.', 0.9571062922477722)], [[[102.0, 199.0], [219.0, 198.0], [219.0, 212.0], [102.0, 213.0]], ('9042230712', 0.9460462331771851)], [[[90.0, 211.0], [224.0, 210.0], [224.0, 224.0], [90.0, 225.0]], ('HAKAGER KENNEIK UEEKS', 0.8553283214569092)], [[[92.0, 234.0], [225.0, 232.0], [225.0, 246.0], [92.0, 248.0]], ('JACKSONOILE FL 32224', 0.7623705863952637)], [[[39.0, 256.0], [98.0, 258.0], [97.0, 271.0], [38.0, 269.0]], ('VRISYNHXL', 0.7762609720230103)], [[[122.0, 257.0], [203.0, 255.0], [203.0, 268.0], [123.0, 270.0]], ('097413001518', 0.8991989493370056)], [[[241.0, 255.0], [278.0, 255.0], [278.0, 269.0], [241.0, 269.0]], ('22.41', 0.9253398776054382)], [[[245.0, 266.0], [279.0, 266.0], [279.0, 280.0], [245.0, 280.0]], ('1.68', 0.8450492024421692)], [[[39.0, 270.0], [65.0, 270.0], [65.0, 281.0], [39.0, 281.0]], ('CUKE', 0.8465563058853149)], [[[123.0, 269.0], [212.0, 266.0], [213.0, 279.0], [124.0, 282.0]], ('0049000005458', 0.8149829506874084)], [[[247.0, 276.0], [279.0, 276.0], [279.0, 291.0], [247.0, 291.0]], ('5.94', 0.9752278923988342)], [[[276.0, 268.0], [287.0, 268.0], [287.0, 277.0], [276.0, 277.0]], ('X', 0.8411444425582886)], [[[39.0, 280.0], [80.0, 282.0], [79.0, 293.0], [38.0, 291.0]], ('FILTER', 0.9517582058906555)], [[[123.0, 278.0], [201.0, 278.0], [201.0, 292.0], [123.0, 292.0]], ('000100016000', 0.8624815344810486)], [[[39.0, 291.0], [208.0, 289.0], [209.0, 303.0], [40.0, 305.0]], ('TORKEY B1ES 00731/012700F', 0.825365424156189)], [[[248.0, 288.0], [278.0, 288.0], [278.0, 303.0], [248.0, 303.0]], ('2.94', 0.9772254228591919)], [[[40.0, 304.0], [104.0, 304.0], [104.0, 315.0], [40.0, 315.0]], ('DNIS IEE', 0.7954012155532837)], [[[121.0, 302.0], [200.0, 300.0], [200.0, 313.0], [122.0, 315.0]], ('088496809274', 0.8936464190483093)], [[[248.0, 299.0], [278.0, 299.0], [278.0, 314.0], [248.0, 314.0]], ('7.00', 0.9631457328796387)], [[[39.0, 315.0], [108.0, 315.0], [108.0, 326.0], [39.0, 326.0]], ('NBIS UNECK', 0.7683706283569336)], [[[123.0, 314.0], [199.0, 314.0], [199.0, 325.0], [123.0, 325.0]], ('880552315922', 0.859813928604126)], [[[248.0, 311.0], [289.0, 311.0], [289.0, 326.0], [248.0, 326.0]], ('5.00x', 0.8821381330490112)], [[[38.0, 327.0], [104.0, 327.0], [104.0, 338.0], [38.0, 338.0]], ('ACCINI 806', 0.7747601866722107)], [[[121.0, 324.0], [200.0, 323.0], [200.0, 337.0], [122.0, 338.0]], ('100028609000', 0.6133449673652649)], [[[247.0, 321.0], [280.0, 323.0], [278.0, 339.0], [245.0, 337.0]], ('5.97', 0.9753324389457703)], [[[157.0, 337.0], [205.0, 337.0], [205.0, 348.0], [157.0, 348.0]], ('SUBTDIAL', 0.6872082948684692)], [[[242.0, 334.0], [277.0, 334.0], [277.0, 349.0], [242.0, 349.0]], ('51.00', 0.990739643573761)], [[[98.0, 348.0], [130.0, 348.0], [130.0, 359.0], [98.0, 359.0]], ('IAX1', 0.6431183815002441)], [[[148.0, 345.0], [197.0, 347.0], [197.0, 361.0], [147.0, 359.0]], ('2000', 0.8671495914459229)], [[[246.0, 346.0], [277.0, 346.0], [277.0, 361.0], [246.0, 361.0]], ('3.36', 0.9857643842697144)], [[[174.0, 359.0], [208.0, 359.0], [208.0, 373.0], [174.0, 373.0]], ('10101', 0.7875525951385498)], [[[142.0, 370.0], [172.0, 372.0], [170.0, 383.0], [141.0, 381.0]], ('DISA', 0.7991588115692139)], [[[242.0, 370.0], [278.0, 370.0], [278.0, 385.0], [242.0, 385.0]], ('54.36', 0.9842435717582703)], [[[36.0, 384.0], [213.0, 384.0], [213.0, 394.0], [36.0, 394.0]], ('CAPIIAL ONE OISRM....', 0.6860734820365906)], [[[266.0, 384.0], [289.0, 384.0], [289.0, 395.0], [266.0, 395.0]], ('11', 0.9336722493171692)], [[[35.0, 394.0], [145.0, 394.0], [145.0, 407.0], [35.0, 407.0]], ('APPRDGAL G1090C', 0.7725807428359985)], [[[35.0, 406.0], [153.0, 406.0], [153.0, 419.0], [35.0, 419.0]], ('REF700800502820', 0.9375150203704834)], [[[35.0, 418.0], [201.0, 418.0], [201.0, 431.0], [35.0, 431.0]], ('RA510307008696366925', 0.884009063243866)], [[[33.0, 430.0], [145.0, 430.0], [145.0, 443.0], [33.0, 443.0]], ('VALIDAIIGN -JRS7', 0.6992341876029968)], [[[33.0, 442.0], [158.0, 441.0], [158.0, 455.0], [33.0, 456.0]], ('PAYHERT SERUICE-E', 0.8381109833717346)], [[[33.0, 466.0], [152.0, 464.0], [153.0, 478.0], [33.0, 480.0]], ('A1D 60000000031010', 0.7799676060676575)], [[[33.0, 478.0], [159.0, 477.0], [159.0, 491.0], [33.0, 492.0]], ('IC F78030856683F229', 0.788010835647583)], [[[33.0, 491.0], [158.0, 489.0], [158.0, 502.0], [33.0, 504.0]], ('TERNINAL SCOIIO64', 0.7155004143714905)], [[[34.0, 504.0], [159.0, 502.0], [159.0, 515.0], [34.0, 517.0]], ('"Sianature Verified', 0.8674498200416565)], [[[89.0, 528.0], [142.0, 528.0], [142.0, 539.0], [89.0, 539.0]], ('01/08/17', 0.8586186170578003)], [[[176.0, 528.0], [228.0, 528.0], [228.0, 539.0], [176.0, 539.0]], ('14:25:47', 0.8324283361434937)], [[[139.0, 540.0], [206.0, 540.0], [206.0, 551.0], [139.0, 551.0]], ('CHANGE DGE', 0.849931538105011)], [[[248.0, 538.0], [277.0, 538.0], [277.0, 551.0], [248.0, 551.0]], ('0.00', 0.9552869200706482)], [[[113.0, 552.0], [209.0, 552.0], [209.0, 565.0], [113.0, 565.0]], ('MIIEHS SOLD 7', 0.7369880676269531)], [[[89.0, 614.0], [156.0, 616.0], [155.0, 630.0], [88.0, 628.0]], ('01/08/1/', 0.8429203033447266)], [[[168.0, 617.0], [227.0, 617.0], [227.0, 628.0], [168.0, 628.0]], ('14.2047', 0.8817553520202637)], [[[94.0, 629.0], [220.0, 629.0], [220.0, 642.0], [94.0, 642.0]], ('CUSTOMER COPYA', 0.7744452953338623)], [[[32.0, 652.0], [288.0, 653.0], [288.0, 670.0], [32.0, 669.0]], ('Sture receipls un your pheneWalsart P', 0.7992150783538818)], [[[34.0, 669.0], [56.0, 669.0], [56.0, 680.0], [34.0, 680.0]], ('ay.', 0.7800671458244324)]]	{"store_name": "Walmart", "store_addr": "", "telephone": "(904)223-0772", "date": "01/08/17 01/08/17", "time": "14:20:47 14:20:47", "subtotal": "51.00", "tax": "3.36", "total": "54.36 54.36", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "COKE", "item_value": "22.47", "item_quantity": "1"}, {"item_key": "", "item_name": "DMLSTEE", "item_value": "1.68", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.94", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.94", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.97", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[415.0, 98.0], [1016.0, 116.0], [1014.0, 184.0], [413.0, 166.0]], ('Five Below -Waldorf', 0.9412420392036438)], [[[443.0, 176.0], [955.0, 201.0], [953.0, 251.0], [440.0, 226.0]], ('3011 Festiva1 Way', 0.9169182777404785)], [[[496.0, 447.0], [993.0, 478.0], [990.0, 534.0], [493.0, 504.0]], ('2050000130716', 0.9985554218292236)], [[[1078.0, 480.0], [1329.0, 484.0], [1328.0, 547.0], [1077.0, 543.0]], ('09/15/13', 0.9987154603004456)], [[[90.0, 522.0], [218.0, 522.0], [218.0, 585.0], [90.0, 585.0]], ('SALE', 0.9978103637695312)], [[[715.0, 531.0], [993.0, 546.0], [990.0, 603.0], [712.0, 587.0]], ('430094205', 0.9987403154373169)], [[[1077.0, 555.0], [1330.0, 560.0], [1329.0, 617.0], [1075.0, 611.0]], ('02:24PM', 0.9521104693412781)], [[[91.0, 675.0], [832.0, 684.0], [831.0, 745.0], [90.0, 736.0]], ('SELLING ASS0C:430094205', 0.9643955230712891)], [[[93.0, 830.0], [459.0, 827.0], [459.0, 883.0], [94.0, 887.0]], ('071249213735', 0.9991130828857422)], [[[513.0, 831.0], [1009.0, 845.0], [1008.0, 900.0], [511.0, 886.0]], ('LOREAL SUBLIME S', 0.9315239191055298)], [[[1164.0, 853.0], [1294.0, 853.0], [1294.0, 917.0], [1164.0, 917.0]], ('1.00', 0.9951941967010498)], [[[95.0, 908.0], [459.0, 907.0], [459.0, 960.0], [95.0, 962.0]], ('071249213728', 0.999129056930542)], [[[517.0, 910.0], [1004.0, 922.0], [1003.0, 974.0], [516.0, 961.0]], ('LOREAL SUBLIME S', 0.9393614530563354)], [[[1162.0, 922.0], [1295.0, 929.0], [1292.0, 998.0], [1159.0, 991.0]], ('1.00', 0.9871022701263428)], [[[100.0, 985.0], [464.0, 985.0], [464.0, 1037.0], [100.0, 1037.0]], ('814666017339', 0.9986048340797424)], [[[516.0, 986.0], [1001.0, 995.0], [1000.0, 1052.0], [515.0, 1043.0]], ('SOLAR FLOWER ASS', 0.9588761925697327)], [[[1160.0, 999.0], [1293.0, 1006.0], [1290.0, 1074.0], [1157.0, 1067.0]], ('1.00', 0.992780327796936)], [[[367.0, 1129.0], [878.0, 1147.0], [876.0, 1209.0], [365.0, 1191.0]], ('3 ITEMS SUBTOTAL', 0.9427051544189453)], [[[1150.0, 1153.0], [1288.0, 1157.0], [1286.0, 1227.0], [1147.0, 1223.0]], ('3.00', 0.9961836338043213)], [[[239.0, 1203.0], [371.0, 1207.0], [369.0, 1271.0], [237.0, 1266.0]], ('3.00', 0.9959951639175415)], [[[633.0, 1212.0], [858.0, 1212.0], [858.0, 1283.0], [633.0, 1283.0]], ('TAX', 0.9809291362762451)], [[[843.0, 1221.0], [1037.0, 1229.0], [1035.0, 1294.0], [841.0, 1286.0]], ('6.000%', 0.9942967295646667)], [[[1146.0, 1234.0], [1285.0, 1239.0], [1283.0, 1307.0], [1144.0, 1303.0]], ('0.18', 0.9925318360328674)], [[[635.0, 1289.0], [790.0, 1296.0], [787.0, 1362.0], [632.0, 1356.0]], ('TOTAL', 0.9978963732719421)], [[[1120.0, 1313.0], [1282.0, 1319.0], [1279.0, 1387.0], [1118.0, 1381.0]], ('$3.18', 0.9701019525527954)], [[[630.0, 1368.0], [758.0, 1368.0], [758.0, 1437.0], [630.0, 1437.0]], ('CASH', 0.9982885718345642)], [[[1124.0, 1391.0], [1284.0, 1399.0], [1280.0, 1466.0], [1121.0, 1457.0]], ('10.20', 0.9952179789543152)], [[[630.0, 1444.0], [819.0, 1451.0], [817.0, 1516.0], [628.0, 1509.0]], ('CHANGE', 0.997861921787262)], [[[1130.0, 1461.0], [1288.0, 1479.0], [1281.0, 1545.0], [1123.0, 1528.0]], ('-7.02', 0.9428554773330688)]]	{"store_name": "FiveBelow-waldorf", "store_addr": "3011FestivalWay Waldorf,MD20603", "telephone": "301-85-0650", "date": "09/15/13", "time": "02:24PM", "subtotal": "3.00", "tax": "0.18", "total": "$3.18", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LOREALSUBLIMES", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LOREALSUBLIMES", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SOLARFLOWERASS", "item_value": "1.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[109.0, 0.0], [273.0, 2.0], [273.0, 19.0], [109.0, 17.0]], ('Boston Post Rd West', 0.9314523935317993)], [[[105.0, 14.0], [250.0, 21.0], [249.0, 42.0], [103.0, 34.0]], ('Mar1boro MA 01752', 0.9085502028465271)], [[[120.0, 36.0], [225.0, 41.0], [224.0, 62.0], [119.0, 57.0]], ('508.481.0788', 0.9937161803245544)], [[[42.0, 74.0], [165.0, 80.0], [164.0, 100.0], [41.0, 94.0]], ('04/06/2015 Mon', 0.9677835702896118)], [[[237.0, 81.0], [306.0, 83.0], [305.0, 104.0], [236.0, 102.0]], ('12:12PM', 0.956292986869812)], [[[43.0, 96.0], [164.0, 101.0], [164.0, 119.0], [42.0, 113.0]], ('GREETER:Chuck', 0.9586623311042786)], [[[211.0, 101.0], [306.0, 104.0], [305.0, 124.0], [210.0, 120.0]], ('CTN:665660', 0.9112223386764526)], [[[42.0, 116.0], [221.0, 123.0], [220.0, 141.0], [41.0, 134.0]], ('Cash RegisterServer)', 0.9698072671890259)], [[[85.0, 138.0], [264.0, 143.0], [264.0, 162.0], [85.0, 158.0]], ('[DUPLICATE RECEIPT ]', 0.9375476837158203)], [[[39.0, 158.0], [147.0, 161.0], [146.0, 181.0], [38.0, 178.0]], ('Premier Wash', 0.9571354985237122)], [[[253.0, 164.0], [296.0, 164.0], [296.0, 183.0], [253.0, 183.0]], ('14.00', 0.9947169423103333)], [[[41.0, 180.0], [169.0, 182.0], [169.0, 202.0], [40.0, 200.0]], ('Express Special', 0.9373939633369446)], [[[252.0, 182.0], [295.0, 184.0], [294.0, 204.0], [251.0, 201.0]], ('40.00', 0.9944534301757812)], [[[39.0, 200.0], [187.0, 204.0], [186.0, 224.0], [38.0, 219.0]], ('Unlimted discount', 0.955569863319397)], [[[251.0, 202.0], [293.0, 205.0], [292.0, 224.0], [250.0, 221.0]], ('-5.00', 0.9773463010787964)], [[[38.0, 220.0], [78.0, 220.0], [78.0, 242.0], [38.0, 242.0]], ('CLUB', 0.9970519542694092)], [[[243.0, 223.0], [292.0, 223.0], [292.0, 242.0], [243.0, 242.0]], ('-14.00', 0.9874512553215027)], [[[37.0, 261.0], [117.0, 263.0], [116.0, 284.0], [36.0, 282.0]], ('SUB TOTAL', 0.9570534825325012)], [[[247.0, 263.0], [290.0, 263.0], [290.0, 282.0], [247.0, 282.0]], ('35.00', 0.996152400970459)], [[[38.0, 284.0], [67.0, 284.0], [67.0, 304.0], [38.0, 304.0]], ('TAX', 0.997319757938385)], [[[253.0, 283.0], [289.0, 283.0], [289.0, 302.0], [253.0, 302.0]], ('0.00', 0.9368137121200562)], [[[39.0, 324.0], [82.0, 324.0], [82.0, 343.0], [39.0, 343.0]], ('TOTAL', 0.9983829259872437)], [[[243.0, 321.0], [288.0, 321.0], [288.0, 340.0], [243.0, 340.0]], ('35.00', 0.9892352819442749)]]	{"store_name": "", "store_addr": "MarlboroMA01752", "telephone": "508.481.0788", "date": "04/06/2015", "time": "12:12PM", "subtotal": "35.00", "tax": "0.00", "total": "35.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PremierWash", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ExpressSpecial", "item_value": "40.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[94.0, 52.0], [224.0, 20.0], [228.0, 37.0], [98.0, 69.0]], ('The Golden Spoon 3', 0.9293854236602783)], [[[80.0, 71.0], [227.0, 36.0], [231.0, 52.0], [84.0, 87.0]], ('China Town Restaurant -CCC', 0.8946865797042847)], [[[96.0, 79.0], [209.0, 56.0], [213.0, 72.0], [100.0, 96.0]], ('Post Office Box 2170', 0.906502366065979)], [[[107.0, 93.0], [191.0, 75.0], [195.0, 92.0], [110.0, 109.0]], ('MUSCAT.CPO111', 0.9244402647018433)], [[[127.0, 103.0], [170.0, 97.0], [173.0, 115.0], [130.0, 121.0]], ('0567974', 0.9873837828636169)], [[[207.0, 123.0], [277.0, 112.0], [279.0, 130.0], [210.0, 140.0]], ('Station:', 0.9708653688430786)], [[[54.0, 148.0], [114.0, 139.0], [116.0, 156.0], [56.0, 166.0]], ('Server:Asif', 0.938027024269104)], [[[226.0, 156.0], [278.0, 150.0], [280.0, 168.0], [228.0, 173.0]], ('Dine In', 0.9442877173423767)], [[[53.0, 178.0], [129.0, 169.0], [131.0, 186.0], [55.0, 195.0]], ('Ordar138584', 0.9262976050376892)], [[[216.0, 174.0], [280.0, 168.0], [282.0, 186.0], [218.0, 192.0]], ('Guests:2', 0.9619326591491699)], [[[53.0, 194.0], [96.0, 189.0], [98.0, 206.0], [55.0, 211.0]], ('Jable:7', 0.8425573706626892)], [[[238.0, 207.0], [281.0, 207.0], [281.0, 226.0], [238.0, 226.0]], ('2.10', 0.9770282506942749)], [[[56.0, 223.0], [178.0, 214.0], [179.0, 230.0], [57.0, 240.0]], ('1St Frd Tofu w Broc Mus', 0.8855654001235962)], [[[247.0, 226.0], [281.0, 223.0], [283.0, 242.0], [248.0, 245.0]], ('2.40', 0.9790964126586914)], [[[55.0, 238.0], [172.0, 232.0], [173.0, 249.0], [56.0, 254.0]], ('1Slced Beef in Ginger', 0.9260227680206299)], [[[56.0, 253.0], [147.0, 250.0], [148.0, 266.0], [57.0, 270.0]], ('1 Mixed Fried Rice', 0.8510578274726868)], [[[248.0, 244.0], [282.0, 242.0], [284.0, 260.0], [249.0, 263.0]], ('2.50', 0.9892659783363342)], [[[58.0, 269.0], [160.0, 269.0], [160.0, 282.0], [58.0, 282.0]], ('1 Mineral water Lrg', 0.8796597719192505)], [[[251.0, 265.0], [283.0, 265.0], [283.0, 281.0], [251.0, 281.0]], ('0.20', 0.9954497814178467)], [[[57.0, 300.0], [122.0, 302.0], [122.0, 317.0], [56.0, 314.0]], ('AHOUNT DUE:', 0.8959541320800781)], [[[229.0, 301.0], [291.0, 303.0], [291.0, 321.0], [228.0, 318.0]], ('R07.200', 0.9667984247207642)], [[[95.0, 332.0], [234.0, 339.0], [233.0, 356.0], [94.0, 348.0]], ('>Ticket122<', 0.8858703970909119)], [[[102.0, 348.0], [219.0, 356.0], [218.0, 372.0], [101.0, 365.0]], ('8/27/20089:04:53PM', 0.9422517418861389)], [[[93.0, 395.0], [261.0, 415.0], [259.0, 431.0], [91.0, 412.0]], ('Thark you for dining wi th us.', 0.9293454885482788)], [[[98.0, 412.0], [251.0, 431.0], [249.0, 448.0], [96.0, 429.0]], ('Hope to see you back soon!', 0.9289131760597229)]]	{"store_name": "TheGoldenSpoon#3 ChinaTownRestaurant-CCC", "store_addr": "PostOfficeBox2170 MUSCAT,CPO111 0567974", "telephone": "", "date": "8/27/2008", "time": "9:04:53PM", "subtotal": "", "tax": "", "total": "R07.200", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "StFrdTofuwBrocMus", "item_value": "2.10", "item_quantity": "1"}, {"item_key": "", "item_name": "SlicedBeefinGinger", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "", "item_name": "MixedFriedRice", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Mineralwater(Lrg)", "item_value": "0.20", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[90.0, 10.0], [297.0, 13.0], [296.0, 30.0], [90.0, 27.0]], ('FRANKS ITALIAN RESIAURAN', 0.8757209777832031)], [[[113.0, 24.0], [281.0, 27.0], [281.0, 44.0], [113.0, 40.0]], ('1906 FAYETIEVILLE RD', 0.930761992931366)], [[[99.0, 38.0], [297.0, 42.0], [296.0, 59.0], [98.0, 56.0]], ('VAN BUREN.AR 72956-6509', 0.9302348494529724)], [[[148.0, 53.0], [247.0, 57.0], [246.0, 74.0], [147.0, 71.0]], ('479-474-7778', 0.9878039956092834)], [[[64.0, 80.0], [247.0, 85.0], [246.0, 102.0], [63.0, 97.0]], ('Merchant 10r 220330104', 0.8974863290786743)], [[[64.0, 96.0], [178.0, 98.0], [178.0, 112.0], [64.0, 110.0]], ('TerID:0903', 0.8850959539413452)], [[[163.0, 126.0], [229.0, 129.0], [228.0, 155.0], [161.0, 152.0]], ('Sale', 0.9956597685813904)], [[[61.0, 170.0], [99.0, 170.0], [99.0, 195.0], [61.0, 195.0]], ('AMEX', 0.9875392913818359)], [[[60.0, 199.0], [131.0, 201.0], [130.0, 228.0], [59.0, 225.0]], ('XXXXXXX', 0.7010025978088379)], [[[61.0, 232.0], [229.0, 237.0], [229.0, 258.0], [60.0, 254.0]], ('Entry Method: Suiped', 0.9174008369445801)], [[[60.0, 263.0], [182.0, 265.0], [181.0, 286.0], [60.0, 284.0]], ('Apprvd: Online', 0.910889744758606)], [[[208.0, 266.0], [329.0, 266.0], [329.0, 287.0], [208.0, 287.0]], ('BatchH:000003', 0.9328727126121521)], [[[58.0, 290.0], [130.0, 292.0], [129.0, 319.0], [57.0, 316.0]], ('11/11/11', 0.9764766693115234)], [[[259.0, 294.0], [330.0, 294.0], [330.0, 320.0], [259.0, 320.0]], ('02:32:56', 0.9321638345718384)], [[[60.0, 340.0], [328.0, 343.0], [327.0, 364.0], [60.0, 361.0]], ('Inv: 00000007 Appr Code:546152', 0.9375068545341492)], [[[57.0, 382.0], [120.0, 385.0], [118.0, 411.0], [56.0, 408.0]], ('Amount:', 0.9925225973129272)], [[[200.0, 389.0], [212.0, 389.0], [212.0, 406.0], [200.0, 406.0]], ('$', 0.8627306818962097)], [[[274.0, 385.0], [331.0, 385.0], [331.0, 411.0], [274.0, 411.0]], ('131.40', 0.9916326403617859)], [[[57.0, 415.0], [94.0, 415.0], [94.0, 440.0], [57.0, 440.0]], ('Tip:', 0.9723122715950012)], [[[56.0, 461.0], [112.0, 461.0], [112.0, 487.0], [56.0, 487.0]], ('Total:', 0.9700025916099548)], [[[135.0, 536.0], [193.0, 536.0], [193.0, 547.0], [135.0, 547.0]], ('Custone', 0.8099908232688904)]]	{"store_name": "FRANK'SITALIANKESIRURAN", "store_addr": "VANBUREN.AR72956-6509 1906FAYETTEVILLERD", "telephone": "479-474-7778", "date": "11/11/11", "time": "02:32:56", "subtotal": "131.40", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[65.0, 81.0], [553.0, 103.0], [549.0, 194.0], [61.0, 172.0]], ('Walgreens', 0.9520966410636902)], [[[158.0, 199.0], [478.0, 199.0], [478.0, 226.0], [158.0, 226.0]], ('#10295 1321DELAWARE AVE', 0.9502366185188293)], [[[213.0, 229.0], [426.0, 229.0], [426.0, 253.0], [213.0, 253.0]], ('MARIONOH 43302', 0.9213147163391113)], [[[241.0, 254.0], [399.0, 254.0], [399.0, 278.0], [241.0, 278.0]], ('740-386-5146', 0.9898919463157654)], [[[37.0, 302.0], [82.0, 302.0], [82.0, 335.0], [37.0, 335.0]], ('566', 0.9972259402275085)], [[[172.0, 304.0], [229.0, 304.0], [229.0, 333.0], [172.0, 333.0]], ('1741', 0.9870172739028931)], [[[265.0, 307.0], [585.0, 307.0], [585.0, 330.0], [265.0, 330.0]], ('005101/24/20141:23PM', 0.9682767987251282)], [[[42.0, 360.0], [597.0, 360.0], [597.0, 383.0], [42.0, 383.0]], ('<BUY1 GET1EQUAL/LESSVALUE50%OFF>', 0.9322465062141418)], [[[37.0, 384.0], [321.0, 383.0], [321.0, 410.0], [37.0, 411.0]], ('RML STAY MATTE PRIMER', 0.9409961700439453)], [[[438.0, 384.0], [479.0, 384.0], [479.0, 410.0], [438.0, 410.0]], ('10Z', 0.973102331161499)], [[[91.0, 412.0], [239.0, 412.0], [239.0, 435.0], [91.0, 435.0]], ('60734268275', 0.9990289807319641)], [[[372.0, 414.0], [387.0, 414.0], [387.0, 433.0], [372.0, 433.0]], ('A', 0.9936606287956238)], [[[461.0, 410.0], [519.0, 410.0], [519.0, 437.0], [461.0, 437.0]], ('6.99', 0.9941039681434631)], [[[38.0, 437.0], [479.0, 437.0], [479.0, 463.0], [38.0, 463.0]], ('RML S/M FOUNDATN LIGHT PORCLN 1OZ', 0.9317150115966797)], [[[91.0, 464.0], [240.0, 464.0], [240.0, 488.0], [91.0, 488.0]], ('60734267573', 0.9989509582519531)], [[[367.0, 465.0], [387.0, 462.0], [391.0, 487.0], [370.0, 490.0]], ('A', 0.9979894161224365)], [[[463.0, 463.0], [521.0, 463.0], [521.0, 489.0], [463.0, 489.0]], ('2.74', 0.992881178855896)], [[[91.0, 488.0], [332.0, 489.0], [332.0, 513.0], [91.0, 512.0]], ('REGULAR PRICE5.49', 0.9558405876159668)], [[[92.0, 517.0], [357.0, 517.0], [357.0, 540.0], [92.0, 540.0]], ('REWARDS SAVINGS2.75', 0.9648343324661255)], [[[43.0, 545.0], [597.0, 545.0], [597.0, 561.0], [43.0, 561.0]], ('x**************************************', 0.7551788687705994)], [[[39.0, 568.0], [318.0, 568.0], [318.0, 591.0], [39.0, 591.0]], ('WEXFORD BUBBLE MAILER', 0.956586480140686)], [[[387.0, 567.0], [479.0, 567.0], [479.0, 591.0], [387.0, 591.0]], ('10.5X15', 0.9544044733047485)], [[[92.0, 594.0], [238.0, 594.0], [238.0, 618.0], [92.0, 618.0]], ('04902270695', 0.9985193014144897)], [[[369.0, 591.0], [389.0, 594.0], [386.0, 620.0], [366.0, 617.0]], ('A', 0.9988102912902832)], [[[462.0, 590.0], [521.0, 590.0], [521.0, 620.0], [462.0, 620.0]], ('1.99', 0.9968250393867493)], [[[36.0, 618.0], [134.0, 618.0], [134.0, 646.0], [36.0, 646.0]], ('MFG CPN', 0.9388518929481506)], [[[452.0, 618.0], [521.0, 618.0], [521.0, 646.0], [452.0, 646.0]], ('-1.00', 0.9770492315292358)], [[[35.0, 645.0], [135.0, 645.0], [135.0, 673.0], [35.0, 673.0]], ('MFG CPN', 0.9345133900642395)], [[[452.0, 645.0], [521.0, 645.0], [521.0, 674.0], [452.0, 674.0]], ('-1.00', 0.9789150357246399)], [[[90.0, 697.0], [197.0, 697.0], [197.0, 724.0], [90.0, 724.0]], ('SUBTOTAL', 0.9968200922012329)], [[[462.0, 696.0], [521.0, 696.0], [521.0, 725.0], [462.0, 725.0]], ('9.72', 0.9968240261077881)], [[[91.0, 725.0], [318.0, 725.0], [318.0, 749.0], [91.0, 749.0]], ('SALES TAX A=6.75%', 0.937696635723114)], [[[462.0, 724.0], [519.0, 724.0], [519.0, 751.0], [462.0, 751.0]], ('0.79', 0.9964898228645325)], [[[89.0, 775.0], [157.0, 775.0], [157.0, 803.0], [89.0, 803.0]], ('TOTAL', 0.998112678527832)], [[[451.0, 775.0], [519.0, 775.0], [519.0, 803.0], [451.0, 803.0]], ('10.51', 0.9949777722358704)], [[[91.0, 803.0], [331.0, 803.0], [331.0, 827.0], [91.0, 827.0]], ('REWARDS REDEMPTION', 0.9755525588989258)], [[[462.0, 801.0], [519.0, 801.0], [519.0, 827.0], [462.0, 827.0]], ('5.00', 0.9959897994995117)], [[[89.0, 825.0], [149.0, 825.0], [149.0, 856.0], [89.0, 856.0]], ('CASH', 0.9979350566864014)], [[[452.0, 825.0], [517.0, 825.0], [517.0, 854.0], [452.0, 854.0]], ('10.01', 0.9958011507987976)], [[[89.0, 852.0], [174.0, 852.0], [174.0, 881.0], [89.0, 881.0]], ('CHANGE', 0.9982193112373352)], [[[461.0, 852.0], [521.0, 852.0], [521.0, 882.0], [461.0, 882.0]], ('4.50', 0.9064586162567139)], [[[39.0, 908.0], [341.0, 908.0], [341.0, 930.0], [39.0, 930.0]], ('BALANCE REWARDS SAVINGS', 0.9515878558158875)], [[[461.0, 903.0], [521.0, 903.0], [521.0, 934.0], [461.0, 934.0]], ('2.75', 0.9967953562736511)], [[[38.0, 935.0], [275.0, 935.0], [275.0, 958.0], [38.0, 958.0]], ('MFG COUPON SAVINGS', 0.9471632838249207)], [[[461.0, 932.0], [521.0, 932.0], [521.0, 961.0], [461.0, 961.0]], ('2.00', 0.9964003562927246)], [[[41.0, 988.0], [503.0, 988.0], [503.0, 1011.0], [41.0, 1011.0]], ('THANK YOU FOR SHOPPING AT WALGREENS', 0.9416490793228149)], [[[39.0, 1039.0], [504.0, 1039.0], [504.0, 1062.0], [39.0, 1062.0]], ('CONGRATULATIONS ON YOUR REWARD!USE', 0.9506411552429199)], [[[41.0, 1066.0], [509.0, 1066.0], [509.0, 1089.0], [41.0, 1089.0]], ('YOUR CARD FOR ALLOF YOUR PURCHASES', 0.9387125968933105)]]	{"store_name": "WALGREENS", "store_addr": "#102951321DELAWAREAVE MARION,OH43302", "telephone": "740-386-5146", "date": "01/24/2014", "time": "1:23PM", "subtotal": "9.72", "tax": "0.79", "total": "10.51", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "RMLSTAYMATTEPRIMER", "item_value": "6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "RMLS/MFOUNDATNLIGHTPORCLN10Z", "item_value": "2.74", "item_quantity": "1"}, {"item_key": "", "item_name": "WEXFORDBUUBBLEMAILER", "item_value": "1.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[136.0, 48.0], [591.0, 21.0], [596.0, 120.0], [142.0, 146.0]], ('Hardees', 0.9911448359489441)], [[[303.0, 234.0], [464.0, 229.0], [464.0, 255.0], [304.0, 260.0]], ('Des Moines 3', 0.9564381241798401)], [[[264.0, 266.0], [495.0, 259.0], [496.0, 285.0], [265.0, 292.0]], ('3621 Mer1e Hay Rd', 0.9284679889678955)], [[[250.0, 297.0], [518.0, 289.0], [519.0, 314.0], [250.0, 323.0]], ('Des Moines IA.50322', 0.928138017654419)], [[[250.0, 327.0], [520.0, 319.0], [521.0, 348.0], [251.0, 357.0]], ('Phone 515)270-5339', 0.9490288496017456)], [[[278.0, 388.0], [490.0, 383.0], [492.0, 433.0], [279.0, 439.0]], ('Table 41', 0.8859720230102539)], [[[109.0, 441.0], [237.0, 441.0], [237.0, 469.0], [109.0, 469.0]], ('Station 2', 0.9574858546257019)], [[[525.0, 433.0], [682.0, 427.0], [683.0, 457.0], [526.0, 464.0]], ('Check 20034', 0.9622433185577393)], [[[105.0, 473.0], [167.0, 473.0], [167.0, 506.0], [105.0, 506.0]], ('lynn', 0.9347984790802002)], [[[342.0, 501.0], [448.0, 498.0], [449.0, 532.0], [343.0, 535.0]], ('5/01/14', 0.9986096024513245)], [[[587.0, 496.0], [689.0, 496.0], [689.0, 527.0], [587.0, 527.0]], ('11:34am', 0.9399866461753845)], [[[102.0, 506.0], [154.0, 506.0], [154.0, 540.0], [102.0, 540.0]], ('THU', 0.9976938366889954)], [[[572.0, 563.0], [639.0, 560.0], [641.0, 594.0], [574.0, 597.0]], ('9.16', 0.9952805042266846)], [[[131.0, 576.0], [389.0, 569.0], [389.0, 599.0], [132.0, 606.0]], ('1 1/3 Wst Xbac CBO', 0.8995309472084045)], [[[175.0, 611.0], [402.0, 605.0], [402.0, 634.0], [175.0, 639.0]], ('1/3 Wst Xbac Thk', 0.9310644865036011)], [[[169.0, 647.0], [391.0, 641.0], [392.0, 671.0], [170.0, 677.0]], ('Med Crispy Cur1', 0.9165292978286743)], [[[167.0, 683.0], [404.0, 678.0], [405.0, 708.0], [168.0, 713.0]], ('Med Beverage Bar', 0.9475063681602478)], [[[585.0, 707.0], [664.0, 707.0], [664.0, 743.0], [585.0, 743.0]], ('0.98-', 0.9826294183731079)], [[[166.0, 720.0], [377.0, 716.0], [377.0, 746.0], [167.0, 751.0]], ('Lnch/Dnr Combo', 0.976648211479187)], [[[590.0, 747.0], [655.0, 747.0], [655.0, 781.0], [590.0, 781.0]], ('1.00', 0.9905946850776672)], [[[162.0, 759.0], [348.0, 754.0], [349.0, 788.0], [163.0, 792.0]], ('Make it Epic', 0.9566720128059387)], [[[595.0, 825.0], [663.0, 825.0], [663.0, 862.0], [595.0, 862.0]], ('9.18', 0.989398717880249)], [[[140.0, 836.0], [253.0, 833.0], [254.0, 873.0], [141.0, 876.0]], ('Sub/Tt1', 0.9641394019126892)], [[[598.0, 865.0], [667.0, 865.0], [667.0, 904.0], [598.0, 904.0]], ('0.55', 0.9884189963340759)], [[[139.0, 881.0], [192.0, 881.0], [192.0, 917.0], [139.0, 917.0]], ('Tax', 0.9970078468322754)], [[[75.0, 920.0], [271.0, 920.0], [271.0, 990.0], [75.0, 990.0]], ('Eat In', 0.9829267859458923)], [[[548.0, 911.0], [685.0, 904.0], [689.0, 974.0], [552.0, 981.0]], ('9.73', 0.99730384349823)], [[[607.0, 1015.0], [679.0, 1015.0], [679.0, 1048.0], [607.0, 1048.0]], ('9.73', 0.9901791214942932)]]	{"store_name": "DesMoines3 Haidees", "store_addr": "DesMoinesIA.50322 3621MerleHayRd.", "telephone": "(515)270-5339", "date": "5/01/14", "time": "11:34am", "subtotal": "9.18", "tax": "0.55", "total": "9.73", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MakeitEpic", "item_value": "9.16", "item_quantity": "1"}, {"item_key": "", "item_name": "Lnch/DnrCombo", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MedBeverageBar", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MedCrispyCurl", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1/3WstXbacThk", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1/3WstXbacCBO", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[90.0, 80.0], [212.0, 81.0], [212.0, 95.0], [90.0, 94.0]], ('The National Underground', 0.9175583720207214)], [[[99.0, 94.0], [201.0, 91.0], [201.0, 108.0], [100.0, 111.0]], ('105 Broadway Ste 101', 0.917685866355896)], [[[100.0, 107.0], [200.0, 105.0], [200.0, 119.0], [100.0, 121.0]], ('Nashv1le.TN 37201', 0.8977859020233154)], [[[108.0, 119.0], [186.0, 117.0], [186.0, 132.0], [108.0, 133.0]], ('ph 615-255-5522', 0.9460299015045166)], [[[119.0, 144.0], [174.0, 144.0], [174.0, 155.0], [119.0, 155.0]], ('Guest Check', 0.9339567422866821)], [[[95.0, 156.0], [203.0, 156.0], [203.0, 169.0], [95.0, 169.0]], ('Thank You for Visiting', 0.9582536220550537)], [[[79.0, 170.0], [219.0, 170.0], [219.0, 180.0], [79.0, 180.0]], ('www.thenationalundergrcund.com', 0.9186002016067505)], [[[87.0, 191.0], [206.0, 191.0], [206.0, 204.0], [87.0, 204.0]], ('TABLEInside9-1Guest', 0.9311995506286621)], [[[91.0, 203.0], [202.0, 203.0], [202.0, 216.0], [91.0, 216.0]], ('Your Server was David R', 0.9128804206848145)], [[[99.0, 213.0], [197.0, 214.0], [197.0, 228.0], [99.0, 227.0]], ('4/13/20139:0017PM', 0.9542471766471863)], [[[100.0, 227.0], [192.0, 227.0], [192.0, 240.0], [100.0, 240.0]], ('Sequence#0000210', 0.9515972137451172)], [[[113.0, 238.0], [178.0, 238.0], [178.0, 252.0], [113.0, 252.0]], ('ID#0101840', 0.9367365837097168)], [[[214.0, 258.0], [258.0, 258.0], [258.0, 272.0], [214.0, 272.0]], ('QTY PRICE', 0.915386438369751)], [[[38.0, 279.0], [104.0, 285.0], [103.0, 298.0], [37.0, 292.0]], ('Miller Lite:B', 0.7251318693161011)], [[[38.0, 290.0], [95.0, 295.0], [94.0, 308.0], [37.0, 303.0]], ('Bud LtghtB', 0.8947653770446777)], [[[230.0, 281.0], [257.0, 281.0], [257.0, 292.0], [230.0, 292.0]], ('$4.00', 0.9905597567558289)], [[[39.0, 300.0], [73.0, 304.0], [72.0, 318.0], [38.0, 314.0]], ('Vantlla', 0.8823985457420349)], [[[230.0, 301.0], [258.0, 304.0], [257.0, 316.0], [229.0, 313.0]], ('$8.00', 0.9864305257797241)], [[[231.0, 292.0], [258.0, 292.0], [258.0, 303.0], [231.0, 303.0]], ('$4.00', 0.983049750328064)], [[[56.0, 313.0], [116.0, 318.0], [115.0, 331.0], [55.0, 326.0]], ('Prep:Dble', 0.8833605647087097)], [[[231.0, 312.0], [259.0, 315.0], [258.0, 329.0], [229.0, 326.0]], ('$8.00', 0.9842899441719055)], [[[226.0, 336.0], [258.0, 336.0], [258.0, 351.0], [226.0, 351.0]], ('$24.00', 0.9351088404655457)], [[[120.0, 339.0], [161.0, 336.0], [162.0, 350.0], [121.0, 353.0]], ('Subtotal', 0.9681074023246765)], [[[121.0, 361.0], [175.0, 357.0], [175.0, 371.0], [122.0, 375.0]], ('Grand Total', 0.9077606201171875)], [[[225.0, 368.0], [259.0, 371.0], [258.0, 385.0], [224.0, 382.0]], ('$24.00', 0.9882293343544006)], [[[226.0, 359.0], [258.0, 359.0], [258.0, 373.0], [226.0, 373.0]], ('$24.00', 0.9868729114532471)], [[[123.0, 371.0], [173.0, 371.0], [173.0, 382.0], [123.0, 382.0]], ('Amount Due.', 0.8900531530380249)]]	{"store_name": "TheNationalUnderground", "store_addr": "Nashvlle.TN37201 1058roadmaySte101", "telephone": "615-255-5522", "date": "4/13/2013", "time": "9:00:17PM", "subtotal": "$24.00", "tax": "", "total": "$24.00 $24.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "LIEN", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[66.0, 0.0], [142.0, 0.0], [143.0, 10.0], [67.0, 11.0]], ('SanJoseCA 95132', 0.902374804019928)], [[[76.0, 9.0], [137.0, 9.0], [137.0, 20.0], [76.0, 20.0]], ('408259-5800', 0.9782329201698303)], [[[65.0, 27.0], [145.0, 25.0], [146.0, 38.0], [66.0, 40.0]], ('08/10/1703:27AM', 0.8121662139892578)], [[[37.0, 48.0], [174.0, 45.0], [174.0, 58.0], [37.0, 61.0]], ('We are the one stop for all your', 0.9081485271453857)], [[[30.0, 59.0], [179.0, 56.0], [179.0, 68.0], [30.0, 71.0]], ('shipping.postal and business.needs', 0.9084187150001526)], [[[26.0, 78.0], [193.0, 74.0], [193.0, 88.0], [27.0, 92.0]], ('Visit our etsite for special affers at', 0.8638006448745728)], [[[46.0, 89.0], [167.0, 86.0], [167.0, 99.0], [46.0, 102.0]], ('www.theupstore.com/0134.hte', 0.8613322973251343)], [[[28.0, 144.0], [98.0, 144.0], [98.0, 154.0], [28.0, 154.0]], ('001.034006030', 0.9272722005844116)], [[[150.0, 141.0], [204.0, 138.0], [204.0, 151.0], [151.0, 154.0]], ('TO$1.99', 0.7592487931251526)], [[[42.0, 153.0], [127.0, 151.0], [127.0, 164.0], [42.0, 166.0]], ('Computer Use 5 min', 0.8849227428436279)], [[[26.0, 164.0], [144.0, 161.0], [145.0, 174.0], [27.0, 177.0]], ('02500238003******', 0.8839823007583618)], [[[152.0, 162.0], [203.0, 162.0], [203.0, 173.0], [152.0, 173.0]], ('T0$10.29', 0.8848751783370972)], [[[43.0, 174.0], [163.0, 171.0], [163.0, 183.0], [43.0, 187.0]], ('Computer Print BQty 21', 0.8264779448509216)], [[[42.0, 186.0], [129.0, 185.0], [129.0, 195.0], [42.0, 196.0]], ('Reg Unit Price$', 0.8744745254516602)], [[[130.0, 184.0], [162.0, 184.0], [162.0, 194.0], [130.0, 194.0]], ('0.49', 0.9303510785102844)], [[[123.0, 204.0], [206.0, 202.0], [206.0, 215.0], [123.0, 217.0]], ('Sublota $12.28', 0.8440857529640198)], [[[137.0, 216.0], [208.0, 213.0], [208.0, 225.0], [138.0, 229.0]], ('Total $12.28', 0.8830101490020752)], [[[140.0, 235.0], [209.0, 233.0], [209.0, 247.0], [141.0, 249.0]], ('Cash$50.00', 0.9206463098526001)]]	{"store_name": "", "store_addr": "SanJose,CA95132", "telephone": "(408)259-5800", "date": "08/10/17", "time": "09:27AM", "subtotal": "$12.28", "tax": "", "total": "$12.28", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ComputerUse5min.", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ComputerPrintBSNQTY21", "item_value": "10.29", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[1631.0, 589.0], [2153.0, 525.0], [2161.0, 592.0], [1639.0, 656.0]], ('SETTLEMENT REPORT', 0.9735669493675232)], [[[1580.0, 781.0], [2247.0, 723.0], [2251.0, 778.0], [1585.0, 836.0]], ('Main Street Restaurant', 0.9734715819358826)], [[[1636.0, 903.0], [2215.0, 865.0], [2220.0, 932.0], [1641.0, 970.0]], ('BATCHCC-20170410', 0.9873970746994019)], [[[1577.0, 950.0], [2271.0, 912.0], [2275.0, 975.0], [1580.0, 1013.0]], ('MERCHANT #:9hqjxvufdr', 0.943109393119812)], [[[1776.0, 993.0], [2092.0, 971.0], [2096.0, 1026.0], [1779.0, 1049.0]], ('TID:11111', 0.9664120078086853)], [[[1582.0, 1126.0], [2301.0, 1114.0], [2302.0, 1165.0], [1583.0, 1178.0]], ('Mon 04/10/2017 06:44pm', 0.9434537291526794)], [[[1522.0, 1256.0], [1693.0, 1256.0], [1693.0, 1311.0], [1522.0, 1311.0]], ('CLOSE', 0.9988217353820801)], [[[2143.0, 1252.0], [2385.0, 1252.0], [2385.0, 1307.0], [2143.0, 1307.0]], ('$160.30', 0.9971250295639038)], [[[1514.0, 1358.0], [1761.0, 1358.0], [1761.0, 1414.0], [1514.0, 1414.0]], ('SALES 3', 0.9416016936302185)], [[[2148.0, 1350.0], [2394.0, 1359.0], [2391.0, 1418.0], [2146.0, 1409.0]], ('$160.30', 0.9965739846229553)], [[[1578.0, 1414.0], [1725.0, 1414.0], [1725.0, 1469.0], [1578.0, 1469.0]], ('BASE', 0.9980063438415527)], [[[2088.0, 1405.0], [2334.0, 1414.0], [2332.0, 1473.0], [2086.0, 1464.0]], ('$144.80', 0.9973215460777283)], [[[1582.0, 1469.0], [1685.0, 1469.0], [1685.0, 1516.0], [1582.0, 1516.0]], ('TIP', 0.9982203841209412)], [[[2127.0, 1477.0], [2333.0, 1477.0], [2333.0, 1520.0], [2127.0, 1520.0]], ('$15.50', 0.9989939332008362)], [[[1504.0, 1515.0], [1825.0, 1524.0], [1823.0, 1583.0], [1502.0, 1575.0]], ('REFUNDS O', 0.9075610637664795)], [[[2230.0, 1528.0], [2409.0, 1528.0], [2409.0, 1587.0], [2230.0, 1587.0]], ('$0.00', 0.9989948272705078)], [[[1567.0, 1701.0], [2349.0, 1709.0], [2349.0, 1776.0], [1566.0, 1768.0]], ('BREAKDOWN BY CARD TYPE', 0.9638688564300537)], [[[1880.0, 1892.0], [2033.0, 1903.0], [2028.0, 1974.0], [1875.0, 1963.0]], ('Visa', 0.9973577260971069)], [[[1491.0, 2028.0], [1677.0, 2028.0], [1677.0, 2099.0], [1491.0, 2099.0]], ('CLOSE', 0.998768150806427)], [[[2156.0, 2023.0], [2418.0, 2032.0], [2415.0, 2103.0], [2154.0, 2094.0]], ('$160.30', 0.9969590306282043)], [[[1490.0, 2158.0], [1743.0, 2149.0], [1746.0, 2216.0], [1492.0, 2225.0]], ('SALES 3', 0.9342749714851379)], [[[2156.0, 2157.0], [2410.0, 2166.0], [2407.0, 2225.0], [2154.0, 2216.0]], ('$160.30', 0.9968051314353943)], [[[1558.0, 2225.0], [1713.0, 2225.0], [1713.0, 2284.0], [1558.0, 2284.0]], ('BASE', 0.9981400966644287)], [[[2091.0, 2225.0], [2333.0, 2225.0], [2333.0, 2280.0], [2091.0, 2280.0]], ('$144.80', 0.9978765249252319)], [[[1562.0, 2288.0], [1673.0, 2288.0], [1673.0, 2339.0], [1562.0, 2339.0]], ('TIP', 0.9986845850944519)], [[[2110.0, 2284.0], [2332.0, 2275.0], [2334.0, 2334.0], [2112.0, 2343.0]], ('$15.50', 0.9986326098442078)], [[[1482.0, 2343.0], [1815.0, 2334.0], [1817.0, 2401.0], [1484.0, 2410.0]], ('REFUNDS O', 0.9432928562164307)], [[[2222.0, 2339.0], [2397.0, 2339.0], [2397.0, 2398.0], [2222.0, 2398.0]], ('$0.00', 0.9990097284317017)], [[[1892.0, 2713.0], [1991.0, 2713.0], [1991.0, 2760.0], [1892.0, 2760.0]], ('END', 0.9985855221748352)]]	{"store_name": "MsinStreetRestaurant", "store_addr": "", "telephone": "", "date": "Mon04/10/2017", "time": "06:44pm", "subtotal": "$144.80 $144.80", "tax": "", "total": "$160.30 $160.30 $160.30 $160.30", "ignore": "", "tips": "$15.50 $15.50", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[202.0, 17.0], [227.0, 17.0], [227.0, 26.0], [202.0, 26.0]], ('KELL.', 0.7641329765319824)], [[[179.0, 44.0], [226.0, 49.0], [225.0, 59.0], [178.0, 54.0]], ('Tex lootce', 0.5498929023742676)], [[[187.0, 40.0], [246.0, 40.0], [246.0, 50.0], [187.0, 50.0]], ('i0s Doba Ka', 0.5242078304290771)], [[[121.0, 52.0], [181.0, 59.0], [180.0, 73.0], [119.0, 66.0]], ('125 Marctan', 0.780774712562561)], [[[123.0, 68.0], [163.0, 72.0], [162.0, 83.0], [122.0, 79.0]], ('b1136/1', 0.8535761833190918)], [[[175.0, 79.0], [241.0, 81.0], [241.0, 92.0], [175.0, 89.0]], ('2503808:4M', 0.6939047574996948)], [[[139.0, 92.0], [176.0, 96.0], [175.0, 107.0], [138.0, 103.0]], ('DINE', 0.9978847503662109)], [[[139.0, 100.0], [181.0, 105.0], [180.0, 116.0], [138.0, 111.0]], ('Carpaccto', 0.946308434009552)], [[[180.0, 95.0], [201.0, 95.0], [201.0, 106.0], [180.0, 106.0]], ('IN', 0.9983701109886169)], [[[139.0, 108.0], [205.0, 113.0], [204.0, 124.0], [138.0, 119.0]], ('GOATCHESBETROOT', 0.8685588240623474)], [[[138.0, 116.0], [201.0, 121.0], [200.0, 132.0], [137.0, 127.0]], ('SPAG MEATBALLS', 0.9284600615501404)], [[[129.0, 125.0], [193.0, 130.0], [192.0, 141.0], [128.0, 136.0]], ('1Mixed 011ves', 0.8052108287811279)], [[[131.0, 119.0], [142.0, 119.0], [142.0, 126.0], [131.0, 126.0]], ('1', 0.9239841103553772)], [[[129.0, 133.0], [176.0, 138.0], [175.0, 149.0], [128.0, 144.0]], ('1Focacc1a', 0.8471631407737732)], [[[254.0, 128.0], [285.0, 128.0], [285.0, 154.0], [254.0, 154.0]], ('20.0', 0.5748964548110962)], [[[128.0, 142.0], [176.0, 146.0], [175.0, 157.0], [127.0, 153.0]], ('1Tiranisu', 0.899493932723999)], [[[128.0, 151.0], [190.0, 155.0], [189.0, 166.0], [127.0, 163.0]], ('1 Acqua Panna', 0.8363076448440552)], [[[260.0, 147.0], [284.0, 147.0], [284.0, 159.0], [260.0, 159.0]], ('40.00', 0.9934886693954468)], [[[127.0, 161.0], [185.0, 164.0], [184.0, 175.0], [126.0, 172.0]], ('1Diet Peps1', 0.7976936101913452)], [[[261.0, 156.0], [285.0, 156.0], [285.0, 167.0], [261.0, 167.0]], ('18.00', 0.9404918551445007)], [[[127.0, 170.0], [185.0, 173.0], [184.0, 184.0], [126.0, 181.0]], ('101et Peos1', 0.8035983443260193)], [[[263.0, 161.0], [287.0, 165.0], [285.0, 177.0], [261.0, 173.0]], ('17.00', 0.9217042922973633)], [[[126.0, 179.0], [177.0, 182.0], [176.0, 193.0], [125.0, 190.0]], ('1Espresso', 0.9451090693473816)], [[[263.0, 173.0], [287.0, 173.0], [287.0, 185.0], [263.0, 185.0]], ('17.00', 0.9811004400253296)], [[[264.0, 180.0], [290.0, 183.0], [288.0, 195.0], [263.0, 192.0]], ('14,00', 0.9017556309700012)], [[[135.0, 199.0], [159.0, 199.0], [159.0, 210.0], [135.0, 210.0]], ('Food', 0.9949657320976257)], [[[134.0, 209.0], [178.0, 211.0], [177.0, 222.0], [133.0, 220.0]], ('Beverage', 0.9913164377212524)], [[[260.0, 201.0], [291.0, 201.0], [291.0, 212.0], [260.0, 212.0]], ('206.00', 0.9925000071525574)], [[[134.0, 219.0], [187.0, 221.0], [187.0, 232.0], [133.0, 230.0]], ('Condiments', 0.9727384448051453)], [[[265.0, 210.0], [294.0, 212.0], [293.0, 223.0], [264.0, 221.0]], ('56.00', 0.8895495533943176)], [[[135.0, 229.0], [175.0, 231.0], [174.0, 242.0], [134.0, 240.0]], ('VATE5%', 0.8450234532356262)], [[[267.0, 220.0], [295.0, 220.0], [295.0, 233.0], [267.0, 233.0]], ('58.00', 0.9926018714904785)], [[[133.0, 240.0], [187.0, 242.0], [187.0, 253.0], [132.0, 251.0]], ('Amount Due', 0.896056056022644)], [[[236.0, 239.0], [295.0, 241.0], [295.0, 253.0], [236.0, 251.0]], ('330.00', 0.9924938678741455)], [[[266.0, 231.0], [294.0, 231.0], [294.0, 242.0], [266.0, 242.0]], ('15.71', 0.8743740320205688)], [[[169.0, 261.0], [279.0, 263.0], [279.0, 276.0], [169.0, 274.0]], ("Carluccfo's Clive Oils", 0.858711838722229)], [[[90.0, 343.0], [359.0, 326.0], [362.0, 383.0], [93.0, 399.0]], ("Carluccio's", 0.9664791226387024)], [[[89.0, 406.0], [359.0, 389.0], [360.0, 406.0], [90.0, 423.0]], ('ITALIAN CAFFE-RESTAURANT-FOODSHOP', 0.939056932926178)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "15.71", "total": "330.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Espresso", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SPAGMEATBALLS", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Focaccla", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tiramisu", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AcqueParma", "item_value": "40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DietPepsi", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DietPepsi", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "72.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "58.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "58.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[53.0, 6.0], [231.0, 0.0], [232.0, 15.0], [54.0, 23.0]], ('Palo Alto. CA 9430ost or ston', 0.8536813259124756)], [[[54.0, 20.0], [153.0, 15.0], [153.0, 28.0], [55.0, 34.0]], ('Phone 650.328.1333', 0.9392483830451965)], [[[54.0, 54.0], [166.0, 49.0], [166.0, 63.0], [55.0, 67.0]], ('6/1/20135:00:56PM', 0.8799251317977905)], [[[184.0, 49.0], [233.0, 45.0], [234.0, 60.0], [185.0, 64.0]], ('Reg:A', 0.9033641815185547)], [[[54.0, 66.0], [131.0, 63.0], [132.0, 77.0], [55.0, 80.0]], ('Receipt1009', 0.9136778116226196)], [[[185.0, 62.0], [231.0, 57.0], [233.0, 72.0], [187.0, 77.0]], ('Store:2', 0.9645388722419739)], [[[54.0, 77.0], [127.0, 74.0], [128.0, 88.0], [55.0, 91.0]], ('CashterK', 0.8349963426589966)], [[[185.0, 72.0], [244.0, 68.0], [245.0, 85.0], [186.0, 88.0]], ('SlsprKH', 0.8466742634773254)], [[[56.0, 98.0], [117.0, 100.0], [116.0, 114.0], [55.0, 112.0]], ('--Comnents-', 0.8851918578147888)], [[[54.0, 111.0], [199.0, 111.0], [199.0, 125.0], [54.0, 125.0]], ('Returned from Recetpt# 1005', 0.9018597602844238)], [[[215.0, 111.0], [260.0, 111.0], [260.0, 125.0], [215.0, 125.0]], ('6/1/2013', 0.9921474456787109)], [[[54.0, 137.0], [116.0, 137.0], [116.0, 148.0], [54.0, 148.0]], ('Description', 0.9391568899154663)], [[[148.0, 135.0], [204.0, 135.0], [204.0, 149.0], [148.0, 149.0]], ('Price Qty', 0.9116213321685791)], [[[225.0, 134.0], [254.0, 134.0], [254.0, 149.0], [225.0, 149.0]], ('Total', 0.9910961389541626)], [[[53.0, 159.0], [117.0, 159.0], [117.0, 173.0], [53.0, 173.0]], ('ruched tank', 0.9525641798973083)], [[[150.0, 159.0], [183.0, 159.0], [183.0, 173.0], [150.0, 173.0]], ('48.00', 0.9916971325874329)], [[[179.0, 160.0], [207.0, 160.0], [207.0, 173.0], [179.0, 173.0]], ('-', 0.5102922320365906)], [[[223.0, 158.0], [258.0, 160.0], [257.0, 174.0], [222.0, 172.0]], ('-48.00', 0.9739797711372375)], [[[53.0, 175.0], [90.0, 175.0], [90.0, 186.0], [53.0, 186.0]], ('INGRID', 0.9980663657188416)], [[[170.0, 172.0], [207.0, 172.0], [207.0, 186.0], [170.0, 186.0]], ('2WHITE', 0.9765732288360596)], [[[96.0, 185.0], [153.0, 185.0], [153.0, 199.0], [96.0, 199.0]], ('6023454768', 0.9973737001419067)], [[[126.0, 222.0], [208.0, 221.0], [209.0, 235.0], [127.0, 236.0]], ('Units Returned', 0.9670353531837463)], [[[112.0, 237.0], [206.0, 234.0], [207.0, 248.0], [112.0, 251.0]], ('Merchandise Total', 0.9370800852775574)], [[[229.0, 233.0], [265.0, 233.0], [265.0, 248.0], [229.0, 248.0]], ('-48.00', 0.978666365146637)], [[[162.0, 249.0], [208.0, 249.0], [208.0, 263.0], [162.0, 263.0]], ('Subtotal', 0.9888444542884827)], [[[229.0, 247.0], [266.0, 247.0], [266.0, 262.0], [229.0, 262.0]], ('-48.00', 0.9811845421791077)], [[[188.0, 259.0], [211.0, 262.0], [209.0, 277.0], [186.0, 274.0]], ('Tax', 0.9892355799674988)], [[[234.0, 261.0], [266.0, 261.0], [266.0, 276.0], [234.0, 276.0]], ('-4.20', 0.9812798500061035)], [[[180.0, 275.0], [210.0, 275.0], [210.0, 290.0], [180.0, 290.0]], ('TOTAL', 0.9984211921691895)], [[[230.0, 274.0], [266.0, 274.0], [266.0, 289.0], [230.0, 289.0]], ('-52.20', 0.967803418636322)], [[[54.0, 302.0], [166.0, 300.0], [166.0, 317.0], [54.0, 318.0]], ('YOURSTORE CREDIT IS', 0.9177384376525879)], [[[97.0, 315.0], [131.0, 315.0], [131.0, 329.0], [97.0, 329.0]], ('52.20', 0.9936092495918274)]]	{"store_name": "", "store_addr": "PaloAlto,CA94301", "telephone": "650.328.1333", "date": "6/1/2013 6/1/2013", "time": "5:00:56PM", "subtotal": "-48.00 -48.00", "tax": "-4.20", "total": "-52.20", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ruchedtank", "item_value": "-48.00", "item_quantity": "1"}, {"item_key": "", "item_name": "INGRID1115", "item_value": "", "item_quantity": ""}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[107.0, 46.0], [213.0, 47.0], [213.0, 61.0], [106.0, 60.0]], ('CREAMSTONE CONCEPTS', 0.9493440389633179)], [[[100.0, 58.0], [216.0, 60.0], [216.0, 74.0], [100.0, 72.0]], ('A UNIT OF SSDPP LTD', 0.8916573524475098)], [[[106.0, 82.0], [212.0, 84.0], [212.0, 99.0], [105.0, 96.0]], ('TINNO36320101193', 0.9814783334732056)], [[[122.0, 73.0], [190.0, 73.0], [190.0, 84.0], [122.0, 84.0]], ('INORBIT MALL', 0.9567785859107971)], [[[104.0, 95.0], [208.0, 98.0], [207.0, 112.0], [103.0, 109.0]], ('PH.No04040135776', 0.9638532400131226)], [[[98.0, 108.0], [215.0, 111.0], [215.0, 125.0], [98.0, 122.0]], ('ST.NO:AAHCS1709CST001', 0.9302782416343689)], [[[43.0, 132.0], [129.0, 135.0], [128.0, 148.0], [43.0, 146.0]], ('CASHIER I0:2001', 0.8966630101203918)], [[[185.0, 135.0], [269.0, 139.0], [269.0, 153.0], [185.0, 149.0]], ('Date:05-08-2016', 0.9565505981445312)], [[[42.0, 145.0], [118.0, 148.0], [118.0, 162.0], [42.0, 160.0]], ('Stat ion 10:01', 0.9127432107925415)], [[[181.0, 148.0], [271.0, 152.0], [270.0, 166.0], [180.0, 163.0]], ('Time:08:46:09PM', 0.8901678323745728)], [[[44.0, 162.0], [100.0, 162.0], [100.0, 173.0], [44.0, 173.0]], ('Table:Q128', 0.8841058015823364)], [[[41.0, 173.0], [157.0, 174.0], [156.0, 188.0], [41.0, 187.0]], ('CASHIER NAMECashier', 0.9269516468048096)], [[[206.0, 164.0], [271.0, 166.0], [270.0, 180.0], [205.0, 178.0]], ('Bil No.128', 0.8767059445381165)], [[[40.0, 186.0], [190.0, 188.0], [190.0, 201.0], [40.0, 199.0]], ('Sect ion NameQUICK SERVICE', 0.906397819519043)], [[[40.0, 214.0], [128.0, 214.0], [128.0, 227.0], [40.0, 227.0]], ('SNo Description', 0.9548353552818298)], [[[181.0, 212.0], [276.0, 214.0], [275.0, 228.0], [180.0, 226.0]], ('Rate Qty Price', 0.9050648808479309)], [[[46.0, 241.0], [151.0, 240.0], [151.0, 254.0], [46.0, 255.0]], ('1BLUE BERRY YOGUR', 0.9437695741653442)], [[[164.0, 240.0], [202.0, 240.0], [202.0, 254.0], [164.0, 254.0]], ('112.00', 0.9918429255485535)], [[[239.0, 238.0], [277.0, 240.0], [276.0, 255.0], [238.0, 253.0]], ('112.00', 0.9935194849967957)], [[[147.0, 269.0], [195.0, 269.0], [195.0, 283.0], [147.0, 283.0]], ('Subtotal', 0.9947618246078491)], [[[215.0, 267.0], [275.0, 267.0], [275.0, 284.0], [215.0, 284.0]], ('Rs.112.00', 0.9636805653572083)], [[[142.0, 283.0], [192.0, 283.0], [192.0, 297.0], [142.0, 297.0]], ('VAT14.5%', 0.9380930662155151)], [[[222.0, 283.0], [273.0, 283.0], [273.0, 297.0], [222.0, 297.0]], ('Rs.16.24', 0.9820117950439453)], [[[101.0, 298.0], [197.0, 298.0], [197.0, 311.0], [101.0, 311.0]], ('SERVICE TAX 6.0%', 0.9292289018630981)], [[[234.0, 297.0], [279.0, 297.0], [279.0, 312.0], [234.0, 312.0]], ('Rs.6.72', 0.9692211747169495)], [[[129.0, 312.0], [195.0, 312.0], [195.0, 326.0], [129.0, 326.0]], ('Grand Total', 0.9506860375404358)], [[[211.0, 312.0], [269.0, 312.0], [269.0, 326.0], [211.0, 326.0]], ('Rs.135.00', 0.9834374189376831)], [[[152.0, 327.0], [197.0, 327.0], [197.0, 342.0], [152.0, 342.0]], ('paid by', 0.9509100914001465)], [[[240.0, 325.0], [272.0, 328.0], [270.0, 343.0], [239.0, 340.0]], ('Cash', 0.9954763650894165)], [[[169.0, 341.0], [198.0, 341.0], [198.0, 356.0], [169.0, 356.0]], ('Cash', 0.9939906001091003)], [[[222.0, 341.0], [280.0, 339.0], [280.0, 355.0], [223.0, 356.0]], ('Rs.500.00', 0.990591287612915)], [[[159.0, 353.0], [199.0, 356.0], [198.0, 371.0], [158.0, 368.0]], ('CHANGE', 0.9975525736808777)], [[[223.0, 356.0], [280.0, 356.0], [280.0, 370.0], [223.0, 370.0]], ('Rs.365.00', 0.9575560092926025)], [[[130.0, 371.0], [187.0, 371.0], [187.0, 385.0], [130.0, 385.0]], ('THANK YOU', 0.954433023929596)], [[[100.0, 386.0], [210.0, 386.0], [210.0, 399.0], [100.0, 399.0]], ('PLEASE VISIT AGAIN', 0.9676389694213867)]]	{"store_name": "CREAMSTONECONCEPTS", "store_addr": "INORBITMALL", "telephone": "04040135776", "date": "05-08-2016", "time": "08:46:09PM", "subtotal": "Rs.112.00", "tax": "Rs.16.24 Rs.6.72", "total": "Rs.135.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BLUEBERRYYOGUR", "item_value": "112.00", "item_quantity": "1"}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[63.0, 4.0], [158.0, 8.0], [158.0, 22.0], [62.0, 18.0]], ('Pesbroke Panes', 0.9233346581459045)], [[[45.0, 17.0], [140.0, 21.0], [139.0, 35.0], [44.0, 30.0]], ('9541.432-5188', 0.9420859217643738)], [[[226.0, 9.0], [276.0, 9.0], [276.0, 23.0], [226.0, 23.0]], ('FL33024', 0.9920681715011597)], [[[42.0, 31.0], [206.0, 35.0], [205.0, 52.0], [41.0, 47.0]], ('riday December 25.2015', 0.9251965880393982)], [[[226.0, 23.0], [282.0, 23.0], [282.0, 37.0], [226.0, 37.0]], ('Clerk SL', 0.8488059043884277)], [[[242.0, 37.0], [292.0, 37.0], [292.0, 50.0], [242.0, 50.0]], ('4:38', 0.8150684833526611)], [[[44.0, 61.0], [227.0, 65.0], [226.0, 79.0], [43.0, 75.0]], ('1 HIGHLANDER TAKES A BRIDE', 0.9039926528930664)], [[[265.0, 65.0], [302.0, 65.0], [302.0, 79.0], [265.0, 79.0]], ('4.00', 0.9564126133918762)], [[[42.0, 78.0], [103.0, 78.0], [103.0, 92.0], [42.0, 92.0]], ('I RIANCA', 0.8567548990249634)], [[[265.0, 78.0], [304.0, 80.0], [303.0, 95.0], [264.0, 93.0]], ("00'b", 0.5179395079612732)], [[[40.0, 93.0], [193.0, 95.0], [193.0, 109.0], [39.0, 107.0]], ('1UNEXPECTED PLEASURE', 0.9115843772888184)], [[[267.0, 96.0], [305.0, 96.0], [305.0, 111.0], [267.0, 111.0]], ('7.00', 0.9645067453384399)], [[[162.0, 127.0], [244.0, 127.0], [244.0, 143.0], [162.0, 143.0]], ('Sub Total ', 0.8579096794128418)], [[[263.0, 128.0], [304.0, 128.0], [304.0, 145.0], [263.0, 145.0]], ('15.00', 0.9951465725898743)], [[[163.0, 145.0], [232.0, 147.0], [231.0, 165.0], [162.0, 163.0]], ('Sales tax', 0.910925567150116)], [[[269.0, 147.0], [304.0, 147.0], [304.0, 165.0], [269.0, 165.0]], ('0.90', 0.984290361404419)], [[[46.0, 186.0], [238.0, 186.0], [238.0, 200.0], [46.0, 200.0]], ('CREIITTOTALS', 0.869587242603302)], [[[236.0, 185.0], [290.0, 185.0], [290.0, 202.0], [236.0, 202.0]], ('15.90', 0.9729162454605103)], [[[53.0, 205.0], [215.0, 205.0], [215.0, 218.0], [53.0, 218.0]], ('Credit Arrlied tp CASH', 0.8458072543144226)], [[[269.0, 203.0], [304.0, 203.0], [304.0, 220.0], [269.0, 220.0]], ('4.00', 0.9832066297531128)], [[[54.0, 224.0], [228.0, 224.0], [228.0, 238.0], [54.0, 238.0]], ('Credit Aprlied to CRED', 0.857816755771637)], [[[269.0, 222.0], [304.0, 222.0], [304.0, 240.0], [269.0, 240.0]], ('0.00', 0.9597182869911194)], [[[53.0, 243.0], [214.0, 243.0], [214.0, 257.0], [53.0, 257.0]], ('Credit Azrlied to VISA', 0.8708705902099609)], [[[270.0, 243.0], [303.0, 243.0], [303.0, 258.0], [270.0, 258.0]], ('6.00', 0.9772976040840149)], [[[54.0, 261.0], [228.0, 261.0], [228.0, 275.0], [54.0, 275.0]], ('Credit Acrlied tn CREn', 0.7969589233398438)], [[[265.0, 262.0], [304.0, 262.0], [304.0, 277.0], [265.0, 277.0]], ('15.90', 0.990338921546936)], [[[128.0, 282.0], [244.0, 282.0], [244.0, 296.0], [128.0, 296.0]], ('Credit Halance $', 0.9056161642074585)], [[[263.0, 280.0], [304.0, 280.0], [304.0, 298.0], [263.0, 298.0]], ('10.01', 0.9918459057807922)], [[[38.0, 318.0], [299.0, 320.0], [298.0, 337.0], [38.0, 335.0]], ('**THANKYOU***', 0.7895123958587646)]]	{"store_name": "", "store_addr": "PembrokePines FL33024", "telephone": "9541432-5188", "date": "December 25.2015", "time": "4:38pm", "subtotal": "$15.00", "tax": "0.90", "total": "15.90 15.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "UNEXPECTEDPLEASURE", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RIANCA", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HIGHLANDERTAKESABRIDE", "item_value": "4.00*", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[474.0, 21.0], [598.0, 19.0], [599.0, 45.0], [475.0, 48.0]], ('W1FOAA', 0.8924564719200134)], [[[443.0, 61.0], [630.0, 59.0], [630.0, 85.0], [443.0, 88.0]], ('02074370493', 0.9906448721885681)], [[[162.0, 103.0], [389.0, 115.0], [388.0, 144.0], [161.0, 131.0]], ('Date:23/03/2018', 0.9651298522949219)], [[[545.0, 112.0], [669.0, 112.0], [669.0, 138.0], [545.0, 138.0]], ('Receipt #:', 0.9226936101913452)], [[[699.0, 108.0], [796.0, 105.0], [797.0, 135.0], [699.0, 137.0]], ('297197', 0.998924732208252)], [[[595.0, 144.0], [669.0, 147.0], [668.0, 174.0], [594.0, 172.0]], ('Store:', 0.9712556004524231)], [[[733.0, 144.0], [802.0, 144.0], [802.0, 172.0], [733.0, 172.0]], ('001A', 0.9978676438331604)], [[[166.0, 162.0], [364.0, 170.0], [363.0, 199.0], [165.0, 190.0]], ('Time:16:37:31', 0.9282471537590027)], [[[567.0, 178.0], [670.0, 178.0], [670.0, 205.0], [567.0, 205.0]], ('Cashier:', 0.9434646368026733)], [[[712.0, 178.0], [802.0, 181.0], [802.0, 211.0], [711.0, 208.0]], ('Jagger', 0.9978979229927063)], [[[715.0, 316.0], [799.0, 312.0], [801.0, 341.0], [717.0, 345.0]], ('PRICE', 0.997773289680481)], [[[235.0, 328.0], [317.0, 330.0], [316.0, 361.0], [234.0, 358.0]], ('ITEM#', 0.9973335266113281)], [[[437.0, 329.0], [491.0, 329.0], [491.0, 357.0], [437.0, 357.0]], ('QTY', 0.9946341514587402)], [[[228.0, 378.0], [313.0, 378.0], [313.0, 408.0], [228.0, 408.0]], ('53289', 0.9989585876464844)], [[[457.0, 376.0], [475.0, 378.0], [472.0, 404.0], [454.0, 402.0]], ('1', 0.976332426071167)], [[[725.0, 370.0], [803.0, 366.0], [805.0, 397.0], [726.0, 401.0]], ('88.00', 0.9983104467391968)], [[[172.0, 413.0], [285.0, 413.0], [285.0, 435.0], [172.0, 435.0]], ('SS18A88', 0.9591104388237)], [[[414.0, 408.0], [473.0, 408.0], [473.0, 434.0], [414.0, 434.0]], ('RED', 0.9985877871513367)], [[[499.0, 406.0], [538.0, 406.0], [538.0, 432.0], [499.0, 432.0]], ('OS', 0.7267651557922363)], [[[171.0, 446.0], [476.0, 441.0], [477.0, 465.0], [171.0, 470.0]], ('MOPHIEENCORE PLUS', 0.9653457403182983)], [[[226.0, 479.0], [313.0, 476.0], [314.0, 507.0], [227.0, 509.0]], ('58532', 0.9991928339004517)], [[[456.0, 476.0], [474.0, 476.0], [474.0, 501.0], [456.0, 501.0]], ('1', 0.971224308013916)], [[[713.0, 471.0], [805.0, 465.0], [807.0, 496.0], [715.0, 501.0]], ('198.00', 0.9976945519447327)], [[[168.0, 513.0], [265.0, 510.0], [266.0, 536.0], [169.0, 539.0]], ('SS18J7', 0.9854537844657898)], [[[415.0, 508.0], [555.0, 503.0], [556.0, 528.0], [416.0, 534.0]], ('BLACKSMA', 0.9965739250183105)], [[[170.0, 545.0], [478.0, 537.0], [479.0, 562.0], [170.0, 569.0]], ('SUPREMEOVCHAMPIONE', 0.9422036409378052)], [[[498.0, 576.0], [611.0, 572.0], [612.0, 602.0], [499.0, 605.0]], ('Subtotal:', 0.9924640655517578)], [[[718.0, 569.0], [811.0, 565.0], [812.0, 595.0], [719.0, 599.0]], ('286.00', 0.9553608298301697)], [[[313.0, 582.0], [431.0, 582.0], [431.0, 608.0], [313.0, 608.0]], ('2 Units', 0.930359423160553)], [[[735.0, 612.0], [813.0, 612.0], [813.0, 643.0], [735.0, 643.0]], ('47.67', 0.9957942962646484)], [[[412.0, 625.0], [614.0, 618.0], [615.0, 647.0], [413.0, 654.0]], ('20.000%VAT', 0.9878649711608887)], [[[721.0, 661.0], [813.0, 659.0], [814.0, 689.0], [722.0, 692.0]], ('286.00', 0.9972152709960938)], [[[377.0, 674.0], [614.0, 666.0], [615.0, 694.0], [378.0, 702.0]], ('RECEIPT TOTAL:', 0.9376086592674255)], [[[544.0, 742.0], [623.0, 740.0], [624.0, 773.0], [545.0, 776.0]], ('Tend:', 0.9767902493476868)], [[[722.0, 738.0], [816.0, 736.0], [817.0, 766.0], [723.0, 769.0]], ('286.00', 0.9966122508049011)], [[[199.0, 803.0], [502.0, 790.0], [503.0, 819.0], [200.0, 831.0]], ('CrCard:286.00 VISA', 0.9434029459953308)], [[[381.0, 843.0], [581.0, 833.0], [582.0, 863.0], [383.0, 872.0]], ('XXXXXXXXXX', 0.8326184153556824)], [[[159.0, 934.0], [290.0, 932.0], [291.0, 969.0], [160.0, 971.0]], ('Signature', 0.9967268705368042)]]	{"store_name": "", "store_addr": "W1F0AA", "telephone": "02074370493", "date": "23/03/2018", "time": "16:37:31", "subtotal": "286.00", "tax": "47.67", "total": "286.00 286.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SS18A88", "item_value": "88.00", "item_quantity": "1"}, {"item_key": "", "item_name": "REDOS", "item_value": "198.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SS18J7", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BLACKSMA", "item_value": "", "item_quantity": ""}, {"item_key": "ITEM#", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[154.0, 86.0], [210.0, 86.0], [210.0, 107.0], [154.0, 107.0]], ('BROASAMIR', 0.5826480388641357)], [[[218.0, 91.0], [276.0, 96.0], [274.0, 114.0], [216.0, 109.0]], ('Table012141', 0.8152021765708923)], [[[136.0, 139.0], [213.0, 138.0], [213.0, 149.0], [136.0, 150.0]], ('2 BUFFADULTE', 0.9260500073432922)], [[[168.0, 132.0], [214.0, 132.0], [214.0, 143.0], [168.0, 143.0]], ('Sur_place', 0.9222254157066345)], [[[244.0, 137.0], [278.0, 137.0], [278.0, 151.0], [244.0, 151.0]], ('138.00', 0.9955878853797913)], [[[139.0, 156.0], [194.0, 156.0], [194.0, 167.0], [139.0, 167.0]], ('1 E-BUFFET', 0.9158605337142944)], [[[147.0, 148.0], [189.0, 145.0], [190.0, 157.0], [148.0, 159.0]], ('69.00', 0.9755041003227234)], [[[251.0, 154.0], [281.0, 154.0], [281.0, 168.0], [251.0, 168.0]], ('3300', 0.5905283689498901)], [[[139.0, 173.0], [228.0, 173.0], [228.0, 186.0], [139.0, 186.0]], ('150CL VITEL VC', 0.8787466883659363)], [[[258.0, 173.0], [280.0, 170.0], [282.0, 182.0], [259.0, 185.0]], ('6.00', 0.9924812316894531)], [[[148.0, 183.0], [215.0, 183.0], [215.0, 194.0], [148.0, 194.0]], ('33CL COCA VC', 0.9043841361999512)], [[[253.0, 190.0], [284.0, 190.0], [284.0, 204.0], [253.0, 204.0]], ('18.97', 0.9899982213973999)], [[[259.0, 182.0], [283.0, 182.0], [283.0, 194.0], [259.0, 194.0]], ('6.70', 0.9941365122795105)], [[[105.0, 193.0], [121.0, 193.0], [121.0, 206.0], [105.0, 206.0]], ('D', 0.7366824746131897)], [[[146.0, 193.0], [218.0, 191.0], [218.0, 205.0], [147.0, 207.0]], ('R Magic plus', 0.931645929813385)], [[[104.0, 212.0], [142.0, 212.0], [142.0, 227.0], [104.0, 227.0]], ('TOTAL:', 0.9799309372901917)], [[[253.0, 210.0], [287.0, 210.0], [287.0, 224.0], [253.0, 224.0]], ('170.73', 0.995042085647583)], [[[160.0, 232.0], [222.0, 230.0], [222.0, 245.0], [160.0, 247.0]], ('Dont TVA', 0.9298484325408936)], [[[259.0, 230.0], [290.0, 230.0], [290.0, 245.0], [259.0, 245.0]], ('15.54', 0.9569209814071655)], [[[145.0, 275.0], [312.0, 269.0], [313.0, 286.0], [146.0, 292.0]], ('Detail des donnees TVA ', 0.8992078304290771)], [[[105.0, 289.0], [155.0, 289.0], [155.0, 303.0], [105.0, 303.0]], ('Taux TVA', 0.9213884472846985)], [[[177.0, 288.0], [211.0, 285.0], [212.0, 299.0], [179.0, 302.0]], ('Mt.HT', 0.97529536485672)], [[[233.0, 285.0], [272.0, 282.0], [273.0, 297.0], [234.0, 300.0]], ('HELTA', 0.6195499897003174)], [[[292.0, 283.0], [329.0, 280.0], [330.0, 294.0], [293.0, 297.0]], ('Mt.TTC', 0.9032080769538879)], [[[104.0, 300.0], [132.0, 300.0], [132.0, 315.0], [104.0, 315.0]], ('5.5%', 0.8736470937728882)], [[[184.0, 298.0], [212.0, 298.0], [212.0, 311.0], [184.0, 311.0]], ('0.00', 0.9967985153198242)], [[[246.0, 295.0], [271.0, 295.0], [271.0, 307.0], [246.0, 307.0]], ('0.00', 0.9775473475456238)], [[[297.0, 302.0], [333.0, 302.0], [333.0, 316.0], [297.0, 316.0]], ('170.73', 0.9822676777839661)], [[[302.0, 293.0], [329.0, 290.0], [331.0, 305.0], [303.0, 308.0]], ('0.00', 0.9877548217773438)], [[[112.0, 312.0], [133.0, 312.0], [133.0, 328.0], [112.0, 328.0]], ('10%', 0.9955379366874695)], [[[174.0, 310.0], [212.0, 307.0], [213.0, 322.0], [175.0, 325.0]], ('155.19', 0.9895208477973938)], [[[305.0, 310.0], [336.0, 310.0], [336.0, 324.0], [305.0, 324.0]], ('0.00', 0.9769814014434814)], [[[110.0, 322.0], [134.0, 322.0], [134.0, 338.0], [110.0, 338.0]], ('20%', 0.9941366314888)], [[[175.0, 329.0], [213.0, 325.0], [214.0, 340.0], [177.0, 344.0]], ('155.19', 0.9912126064300537)], [[[185.0, 320.0], [212.0, 320.0], [212.0, 331.0], [185.0, 331.0]], ('0.00', 0.995464563369751)], [[[246.0, 325.0], [276.0, 322.0], [277.0, 334.0], [247.0, 337.0]], ('15.54', 0.994857132434845)], [[[302.0, 320.0], [338.0, 320.0], [338.0, 331.0], [302.0, 331.0]], ('170.73', 0.9937489628791809)], [[[105.0, 337.0], [143.0, 334.0], [144.0, 346.0], [106.0, 349.0]], ('Totaux', 0.9960742592811584)], [[[170.0, 362.0], [234.0, 356.0], [235.0, 370.0], [172.0, 376.0]], ('Inventions', 0.9886738061904907)], [[[146.0, 387.0], [293.0, 374.0], [294.0, 387.0], [147.0, 400.0]], ('++********+**', 0.6047009229660034)], [[[153.0, 398.0], [288.0, 384.0], [290.0, 401.0], [155.0, 415.0]], ('TRANSACTION SUSPENDUE', 0.981475293636322)], [[[147.0, 414.0], [296.0, 399.0], [298.0, 412.0], [149.0, 427.0]], ('*********************', 0.8723095059394836)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "17/8/2018", "time": "22:01", "subtotal": "", "tax": "15.54 15.54 15.54", "total": "170.73 170.73 170.73", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BUFFADULTE", "item_value": "138.00", "item_quantity": "1"}, {"item_key": "", "item_name": "E-BUFFET", "item_value": "39.00", "item_quantity": "1"}, {"item_key": "", "item_name": "50CLVITTELVC", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "50CLVITTELVC", "item_value": "6.70", "item_quantity": "1"}, {"item_key": "", "item_name": "33CLCOCAVC", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[125.0, 2.0], [210.0, 1.0], [211.0, 19.0], [126.0, 20.0]], ('Palatine, IL', 0.9150294661521912)], [[[37.0, 40.0], [90.0, 37.0], [91.0, 55.0], [38.0, 58.0]], ('DETAIL2,', 0.985879123210907)], [[[182.0, 40.0], [306.0, 40.0], [306.0, 53.0], [182.0, 53.0]], ('05/21/1601:45PM', 0.9721001982688904)], [[[39.0, 56.0], [304.0, 54.0], [305.0, 71.0], [40.0, 73.0]], ('Shift 1Emp1 44883, Sale#63176507659', 0.9266940355300903)], [[[81.0, 89.0], [146.0, 89.0], [146.0, 106.0], [81.0, 106.0]], ('1Exp Wax.', 0.9164879322052002)], [[[258.0, 88.0], [294.0, 88.0], [294.0, 103.0], [258.0, 103.0]], ('34.99', 0.9977490305900574)], [[[80.0, 106.0], [221.0, 102.0], [222.0, 117.0], [80.0, 122.0]], ('120% off UNL Exp/Fu11', 0.8926859498023987)], [[[256.0, 103.0], [292.0, 101.0], [293.0, 116.0], [257.0, 119.0]], ('-7.00', 0.9621590375900269)], [[[80.0, 122.0], [220.0, 117.0], [221.0, 133.0], [80.0, 138.0]], ('1 Megu1ars 6Mth UGSea7', 0.9106234908103943)], [[[257.0, 118.0], [291.0, 118.0], [291.0, 132.0], [257.0, 132.0]], ('15.00', 0.9974112510681152)], [[[171.0, 148.0], [221.0, 148.0], [221.0, 164.0], [171.0, 164.0]], ('Subtotal', 0.9948239326477051)], [[[254.0, 145.0], [288.0, 145.0], [288.0, 160.0], [254.0, 160.0]], ('42.99', 0.9966233372688293)], [[[163.0, 163.0], [222.0, 161.0], [223.0, 178.0], [164.0, 180.0]], ('Sales Tax', 0.9546916484832764)], [[[258.0, 160.0], [287.0, 160.0], [287.0, 175.0], [258.0, 175.0]], ('0.00', 0.9971686601638794)], [[[188.0, 178.0], [220.0, 178.0], [220.0, 193.0], [188.0, 193.0]], ('Total', 0.9898899793624878)], [[[252.0, 175.0], [285.0, 173.0], [286.0, 188.0], [253.0, 191.0]], ('42.99', 0.9970347285270691)], [[[100.0, 210.0], [162.0, 206.0], [162.0, 220.0], [100.0, 224.0]], ('AMEX x2006', 0.9106847047805786)], [[[256.0, 203.0], [289.0, 203.0], [289.0, 218.0], [256.0, 218.0]], ('42.99', 0.9977483749389648)], [[[100.0, 222.0], [265.0, 215.0], [265.0, 232.0], [100.0, 238.0]], ('Sale Appr#584097171805', 0.9425049424171448)], [[[100.0, 237.0], [214.0, 234.0], [215.0, 248.0], [100.0, 251.0]], ('Merchant #982887', 0.9422639608383179)], [[[91.0, 267.0], [250.0, 263.0], [250.0, 281.0], [91.0, 285.0]], ('For additional savings..', 0.9307987093925476)], [[[102.0, 285.0], [241.0, 280.0], [241.0, 295.0], [102.0, 301.0]], ('Join our Email Club @', 0.8941022157669067)], [[[90.0, 302.0], [253.0, 296.0], [253.0, 313.0], [90.0, 319.0]], ('www.deltasoniccarwash.com', 0.9783061146736145)], [[[92.0, 328.0], [254.0, 328.0], [254.0, 347.0], [92.0, 347.0]], ('While there.check out our', 0.9630943536758423)]]	{"store_name": "", "store_addr": "Palatine,IL", "telephone": "", "date": "05/21/16,", "time": "01:45PM", "subtotal": "42.99", "tax": "0.00", "total": "42.99 42.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Meguiars6MthUGSeal", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "20%offUNLExp/Full", "item_value": "-7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ExpWax.", "item_value": "34.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[291.0, 85.0], [499.0, 95.0], [497.0, 133.0], [289.0, 123.0]], ('Saizeriya', 0.99665766954422)], [[[257.0, 122.0], [525.0, 127.0], [525.0, 156.0], [257.0, 150.0]], ('11,Tanjong Katong Road', 0.9622374176979065)], [[[312.0, 148.0], [479.0, 154.0], [478.0, 178.0], [311.0, 173.0]], ('#02-16One KM', 0.9181199073791504)], [[[300.0, 173.0], [489.0, 178.0], [489.0, 203.0], [300.0, 198.0]], ('Singapore 437157', 0.9710450172424316)], [[[311.0, 198.0], [479.0, 203.0], [478.0, 228.0], [310.0, 222.0]], ('Te1:6702 2478', 0.901487410068512)], [[[234.0, 242.0], [541.0, 250.0], [540.0, 281.0], [233.0, 274.0]], ('GST Reg.No.20-0818603-R', 0.9519822597503662)], [[[82.0, 349.0], [225.0, 349.0], [225.0, 392.0], [82.0, 392.0]], ('Table:11', 0.9391876459121704)], [[[616.0, 369.0], [700.0, 364.0], [702.0, 394.0], [617.0, 399.0]], ('PAX:2', 0.9030631184577942)], [[[81.0, 386.0], [337.0, 397.0], [336.0, 425.0], [80.0, 413.0]], ('Bi11 No.:New Bi11)', 0.8444388508796692)], [[[79.0, 416.0], [400.0, 432.0], [399.0, 456.0], [78.0, 440.0]], ('Date:2014/11/21 11:40:11', 0.9457462430000305)], [[[75.0, 445.0], [272.0, 456.0], [271.0, 480.0], [74.0, 469.0]], ('Server: Jannete', 0.9503209590911865)], [[[66.0, 500.0], [113.0, 505.0], [110.0, 533.0], [63.0, 529.0]], ('1x', 0.8145244121551514)], [[[147.0, 506.0], [295.0, 512.0], [294.0, 540.0], [146.0, 534.0]], ('Doria Lunch', 0.9582327008247375)], [[[638.0, 514.0], [711.0, 510.0], [712.0, 540.0], [639.0, 544.0]], ('$6.90', 0.9648841023445129)], [[[60.0, 531.0], [110.0, 534.0], [109.0, 565.0], [58.0, 562.0]], ('1x', 0.8387160301208496)], [[[146.0, 536.0], [346.0, 547.0], [345.0, 575.0], [145.0, 564.0]], ('Tuna & Fish Egg', 0.9361361861228943)], [[[639.0, 546.0], [712.0, 541.0], [715.0, 571.0], [642.0, 577.0]], ('$6.90', 0.9954994916915894)], [[[376.0, 620.0], [716.0, 606.0], [719.0, 661.0], [379.0, 676.0]], ('Grand Tota1 s13.80', 0.9374215602874756)], [[[50.0, 685.0], [268.0, 691.0], [267.0, 724.0], [49.0, 717.0]], ('7%GST$0.90', 0.9239845275878906)], [[[42.0, 757.0], [438.0, 768.0], [437.0, 800.0], [41.0, 788.0]], ('2014/11/21 11:40:19 Jannete', 0.9381749033927917)], [[[42.0, 793.0], [237.0, 797.0], [236.0, 833.0], [41.0, 828.0]], ('New Bil1 [0]', 0.89552241563797)]]	{"store_name": "Saizeriya", "store_addr": "Singapore437157 #02-16,OneKM 11,TanjongKatongRoad", "telephone": "67022478", "date": "2014/11/21 2014/11/21", "time": "11:40:19 11:40:11", "subtotal": "", "tax": "$0.90)", "total": "$13.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Tuna&FishEgg", "item_value": "$6.90", "item_quantity": "1"}, {"item_key": "", "item_name": "DoriaLunch", "item_value": "$6.90", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[115.0, 10.0], [187.0, 10.0], [187.0, 24.0], [115.0, 24.0]], ('The Rose Club', 0.8709024786949158)], [[[92.0, 22.0], [210.0, 25.0], [209.0, 42.0], [92.0, 40.0]], ('23 0rchard StLondon', 0.9248363375663757)], [[[130.0, 41.0], [171.0, 41.0], [171.0, 56.0], [130.0, 56.0]], ('W1H 6HL', 0.8628207445144653)], [[[140.0, 51.0], [169.0, 55.0], [167.0, 74.0], [138.0, 71.0]], ('0207', 0.7292346954345703)], [[[39.0, 83.0], [124.0, 86.0], [124.0, 103.0], [38.0, 101.0]], ('Server:Margaux', 0.9192662239074707)], [[[211.0, 87.0], [269.0, 87.0], [269.0, 104.0], [211.0, 104.0]], ('08/12/2011', 0.9617176055908203)], [[[40.0, 100.0], [97.0, 100.0], [97.0, 117.0], [40.0, 117.0]], ('Table 14/1', 0.9502526521682739)], [[[228.0, 104.0], [269.0, 104.0], [269.0, 119.0], [228.0, 119.0]], ('2:58A', 0.8903236389160156)], [[[39.0, 116.0], [98.0, 116.0], [98.0, 133.0], [39.0, 133.0]], ('Guests:10', 0.9496151804924011)], [[[239.0, 118.0], [269.0, 118.0], [269.0, 134.0], [239.0, 134.0]], ('40251', 0.9967838525772095)], [[[39.0, 146.0], [206.0, 148.0], [205.0, 164.0], [39.0, 162.0]], ('Ciroc Wethuselah 24 e1.850.00', 0.8945361375808716)], [[[216.0, 150.0], [269.0, 150.0], [269.0, 164.0], [216.0, 164.0]], ('44,400.00', 0.9309546947479248)], [[[38.0, 161.0], [211.0, 163.0], [211.0, 180.0], [38.0, 178.0]], ('Don Perignon Rose Magnum 6 1', 0.8719256520271301)], [[[217.0, 165.0], [269.0, 165.0], [269.0, 179.0], [217.0, 179.0]], ('7200.00', 0.9837538599967957)], [[[41.0, 179.0], [144.0, 179.0], [144.0, 193.0], [41.0, 193.0]], ('Heineken 13 @5.00', 0.9513425230979919)], [[[238.0, 180.0], [269.0, 180.0], [269.0, 196.0], [238.0, 196.0]], ('65.00', 0.9788519144058228)], [[[40.0, 195.0], [147.0, 195.0], [147.0, 209.0], [40.0, 209.0]], ('Fiji Water 6 @3.00)', 0.9048964977264404)], [[[239.0, 193.0], [270.0, 193.0], [270.0, 213.0], [239.0, 213.0]], ('18.00', 0.9420021176338196)], [[[41.0, 210.0], [147.0, 210.0], [147.0, 224.0], [41.0, 224.0]], ('Cigarettes 2 e9.00', 0.8967422842979431)], [[[239.0, 208.0], [270.0, 212.0], [268.0, 229.0], [238.0, 225.0]], ('16.00', 0.9924566149711609)], [[[39.0, 224.0], [210.0, 226.0], [210.0, 240.0], [39.0, 238.0]], ('Mahik Coconut Bottle 7 e160.0', 0.9047024846076965)], [[[221.0, 227.0], [269.0, 227.0], [269.0, 241.0], [221.0, 241.0]], ('1120.00', 0.9814197421073914)], [[[39.0, 238.0], [153.0, 239.0], [153.0, 257.0], [39.0, 256.0]], ('Cover 16 16 @16.00', 0.8938848972320557)], [[[232.0, 240.0], [270.0, 243.0], [269.0, 258.0], [231.0, 255.0]], ('225.00', 0.9216470122337341)], [[[39.0, 271.0], [85.0, 271.0], [85.0, 286.0], [39.0, 286.0]], ('Subtotal', 0.9937002658843994)], [[[216.0, 269.0], [271.0, 271.0], [270.0, 289.0], [215.0, 287.0]], ('53.044.00', 0.927641749382019)], [[[39.0, 284.0], [61.0, 287.0], [59.0, 303.0], [37.0, 300.0]], ('Tax', 0.9878286719322205)], [[[244.0, 288.0], [271.0, 288.0], [271.0, 304.0], [244.0, 304.0]], ('0.00', 0.9715785980224609)], [[[40.0, 316.0], [69.0, 316.0], [69.0, 332.0], [40.0, 332.0]], ('Total', 0.9961000680923462)], [[[216.0, 315.0], [271.0, 318.0], [270.0, 335.0], [215.0, 333.0]], ('53.044.00', 0.8958004713058472)], [[[39.0, 330.0], [155.0, 333.0], [155.0, 350.0], [38.0, 347.0]], ('Service Charge 15.004', 0.9327474236488342)], [[[221.0, 335.0], [270.0, 335.0], [270.0, 351.0], [221.0, 351.0]], ('7,966.60', 0.8921060562133789)], [[[40.0, 348.0], [70.0, 348.0], [70.0, 364.0], [40.0, 364.0]], ('Total', 0.9966922998428345)], [[[217.0, 347.0], [271.0, 350.0], [270.0, 368.0], [216.0, 365.0]], ('61.000.60', 0.920960009098053)], [[[39.0, 392.0], [65.0, 392.0], [65.0, 410.0], [39.0, 410.0]], ('AMEX', 0.9851603507995605)], [[[206.0, 394.0], [270.0, 394.0], [270.0, 411.0], [206.0, 411.0]], ('61,000.60', 0.8634467720985413)], [[[39.0, 408.0], [61.0, 408.0], [61.0, 426.0], [39.0, 426.0]], ('Tip', 0.9828229546546936)], [[[217.0, 410.0], [270.0, 410.0], [270.0, 428.0], [217.0, 428.0]], ('10,000.00', 0.9521659016609192)], [[[39.0, 425.0], [70.0, 425.0], [70.0, 440.0], [39.0, 440.0]], ('Total', 0.9931241869926453)], [[[217.0, 426.0], [270.0, 426.0], [270.0, 443.0], [217.0, 443.0]], ('71,000.60', 0.9409455060958862)], [[[39.0, 454.0], [101.0, 454.0], [101.0, 472.0], [39.0, 472.0]], ('Grand Total', 0.9691102504730225)], [[[216.0, 454.0], [269.0, 456.0], [268.0, 475.0], [215.0, 472.0]], ('71,000.60', 0.859937846660614)], [[[38.0, 469.0], [160.0, 471.0], [160.0, 488.0], [38.0, 487.0]], ('Balance Due', 0.967573344707489)], [[[200.0, 472.0], [269.0, 472.0], [269.0, 489.0], [200.0, 489.0]], ('0.00', 0.9952845573425293)], [[[104.0, 502.0], [198.0, 502.0], [198.0, 519.0], [104.0, 519.0]], ('Vat107717911', 0.9929962158203125)], [[[100.0, 534.0], [208.0, 534.0], [208.0, 548.0], [100.0, 548.0]], ('.Check Closed', 0.9284988045692444)]]	{"store_name": "TheRoseClub", "store_addr": "23OrchardSt,London WIH6HL 0207", "telephone": "", "date": "08/12/2011", "time": "2:58AM", "subtotal": "53,044.00", "tax": "0.00", "total": "71,000.60 71,000.60", "ignore": " ", "tips": "10,000.00", "line_items": [{"item_key": "", "item_name": "CirocMethuselah", "item_value": "44,400.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Heineken", "item_value": "7,200.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FijiWater", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Cigarettes", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MahikiCoconutBottle", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Cover\u00a315", "item_value": "1,120.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "225.00", "item_quantity": "1"}]}