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GHOFRANEE
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Dataset_ocr_to_json

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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	[[[[219.0, 248.0], [761.0, 230.0], [763.0, 284.0], [221.0, 302.0]], ("TRADER JOE'S", 0.9642014503479004)], [[[199.0, 475.0], [639.0, 465.0], [640.0, 497.0], [200.0, 508.0]], ('OPEN 8:0OAM TO 9:OOPM DAILY', 0.8768525719642639)], [[[623.0, 539.0], [697.0, 539.0], [697.0, 576.0], [623.0, 576.0]], ('2.69', 0.994566023349762)], [[[87.0, 553.0], [574.0, 544.0], [575.0, 574.0], [88.0, 583.0]], ('ORGANIC RND YELLOW TORT. CHIPS', 0.9203564524650574)], [[[625.0, 574.0], [698.0, 574.0], [698.0, 611.0], [625.0, 611.0]], ('1.99', 0.9969269037246704)], [[[87.0, 590.0], [493.0, 581.0], [493.0, 611.0], [88.0, 620.0]], ('R-SALAD SPINACH BABY 6 OZ', 0.9305902123451233)], [[[625.0, 610.0], [698.0, 610.0], [698.0, 647.0], [625.0, 647.0]], ('3.49', 0.9957740306854248)], [[[90.0, 624.0], [301.0, 620.0], [301.0, 650.0], [91.0, 654.0]], ('ORGANIC SUGAR', 0.9666382074356079)], [[[627.0, 646.0], [698.0, 646.0], [698.0, 682.0], [627.0, 682.0]], ('0.99', 0.9978346228599548)], [[[90.0, 660.0], [446.0, 652.0], [447.0, 682.0], [91.0, 690.0]], ('BEANS ORGANIC GARBANZO', 0.9582690596580505)], [[[628.0, 681.0], [700.0, 681.0], [700.0, 718.0], [628.0, 718.0]], ('1.99', 0.9929523468017578)], [[[90.0, 694.0], [545.0, 684.0], [546.0, 716.0], [91.0, 727.0]], ('CHOC CHUNKS SEMI SWEET 1O OZ', 0.9293340444564819)], [[[628.0, 717.0], [701.0, 717.0], [701.0, 754.0], [628.0, 754.0]], ('1.49', 0.99751877784729)], [[[91.0, 730.0], [579.0, 722.0], [579.0, 751.0], [92.0, 758.0]], ('SPAGHETTI TOMATO SAUCE ORGANIC', 0.9571124315261841)], [[[628.0, 752.0], [703.0, 752.0], [703.0, 789.0], [628.0, 789.0]], ('3.29', 0.9961508512496948)], [[[92.0, 764.0], [561.0, 758.0], [562.0, 788.0], [92.0, 794.0]], ('MEATPANCETTA CUBED CITTERIO.', 0.9577919840812683)], [[[89.0, 796.0], [208.0, 796.0], [208.0, 830.0], [89.0, 830.0]], ('BANANAS', 0.9961763620376587)], [[[628.0, 788.0], [703.0, 788.0], [703.0, 826.0], [628.0, 826.0]], ('0.57', 0.9946272373199463)], [[[122.0, 832.0], [177.0, 832.0], [177.0, 864.0], [122.0, 864.0]], ('3EA', 0.9971858859062195)], [[[231.0, 828.0], [384.0, 828.0], [384.0, 862.0], [231.0, 862.0]], ('@0.19/EA', 0.9426389932632446)], [[[90.0, 866.0], [414.0, 862.0], [415.0, 896.0], [91.0, 900.0]], ('A-POTATO EACH RUSSET', 0.9442930221557617)], [[[631.0, 859.0], [705.0, 859.0], [705.0, 897.0], [631.0, 897.0]], ('0.49', 0.9964025020599365)], [[[89.0, 904.0], [481.0, 901.0], [482.0, 931.0], [89.0, 934.0]], ('R-CARROTS WHOLE ORG 1 LB', 0.925764799118042)], [[[631.0, 897.0], [707.0, 897.0], [707.0, 934.0], [631.0, 934.0]], ('0.89', 0.9970714449882507)], [[[89.0, 940.0], [524.0, 938.0], [524.0, 968.0], [89.0, 970.0]], ('A-AVOCADOS EACH HASS 40 CT', 0.8912116289138794)], [[[633.0, 934.0], [708.0, 934.0], [708.0, 971.0], [633.0, 971.0]], ('0.99', 0.9972034096717834)], [[[86.0, 978.0], [497.0, 975.0], [498.0, 1004.0], [86.0, 1007.0]], ('A-CUCUMBERS PERSIAN 14 OZ', 0.9218853116035461)], [[[631.0, 972.0], [707.0, 968.0], [709.0, 1005.0], [633.0, 1009.0]], ('2.49', 0.9936468005180359)], [[[634.0, 1004.0], [708.0, 1004.0], [708.0, 1041.0], [634.0, 1041.0]], ('0.99', 0.998103678226471)], [[[86.0, 1015.0], [499.0, 1011.0], [499.0, 1044.0], [86.0, 1048.0]], ('TRADITIONAL REFRIED BEANS', 0.9709169268608093)], [[[669.0, 1078.0], [774.0, 1075.0], [776.0, 1112.0], [670.0, 1115.0]], ('$22.35', 0.9960880875587463)], [[[74.0, 1094.0], [212.0, 1090.0], [213.0, 1124.0], [75.0, 1128.0]], ('SUBTOTAL', 0.9961062073707581)], [[[669.0, 1115.0], [776.0, 1112.0], [777.0, 1149.0], [670.0, 1152.0]], ('$22.35', 0.9960262179374695)], [[[78.0, 1128.0], [245.0, 1125.0], [246.0, 1156.0], [79.0, 1159.0]], ('TOTAL', 0.9976195096969604)], [[[671.0, 1150.0], [777.0, 1150.0], [777.0, 1186.0], [671.0, 1186.0]], ('$22.35', 0.9954726099967957)], [[[80.0, 1160.0], [153.0, 1160.0], [153.0, 1192.0], [80.0, 1192.0]], ('VISA', 0.9975885152816772)], [[[84.0, 1192.0], [255.0, 1192.0], [255.0, 1221.0], [84.0, 1221.0]], ('02/03/2016', 0.984876275062561)], [[[625.0, 1186.0], [761.0, 1186.0], [761.0, 1221.0], [625.0, 1221.0]], ('15:56:15', 0.9193336963653564)], [[[339.0, 1328.0], [476.0, 1328.0], [476.0, 1362.0], [339.0, 1362.0]], ('PURCHASE', 0.9969553351402283)]]	{"store_name": "TRADERJOE'S", "store_addr": "", "telephone": "", "date": "02/03/2016", "time": "15:56:15", "subtotal": "$22.35", "tax": "", "total": "$22.35", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ORGANICRNDYELLOWTORT.CHIPS", "item_value": "2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "R-SALADSPINACHBABY6OZ", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ORGANICSUGAR", "item_value": "3.49", "item_quantity": "1"}, {"item_key": "", "item_name": "BEANSORGANICGARBANZO", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOCCHUNKSSEMISWEET10OZ", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SPAGHETTITOMATOSAUCEORGANIC", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "MEATPANCETTACUBEDCITTERIO.", "item_value": "3.29", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANAS", "item_value": "0.57", "item_quantity": "1"}, {"item_key": "", "item_name": "A-POTATOEACHRUSSET", "item_value": "0.49", "item_quantity": "1"}, {"item_key": "", "item_name": "R-CARROTSWHOLEORG1LB", "item_value": "0.89", "item_quantity": "1"}, {"item_key": "", "item_name": "A-AVOCADOSEACHHASS40CT.", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "A-CUCUMBERSPERSIAN14OZ", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "TRADITIONALREFRIEDBEANS", "item_value": "0.99", "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	[[[[257.0, 291.0], [892.0, 269.0], [894.0, 333.0], [259.0, 354.0]], ("TRADER JOE'S", 0.9592410922050476)], [[[233.0, 557.0], [749.0, 545.0], [750.0, 583.0], [234.0, 595.0]], ('OPEN 8:0CAM TO 9:OOPM DAILY', 0.8628361821174622)], [[[730.0, 632.0], [816.0, 632.0], [816.0, 675.0], [730.0, 675.0]], ('2.69', 0.9913986325263977)], [[[102.0, 649.0], [673.0, 638.0], [674.0, 673.0], [103.0, 684.0]], ('ORGANIC RND YELLOW TORT.CHIPS', 0.9332617521286011)], [[[733.0, 673.0], [818.0, 673.0], [818.0, 717.0], [733.0, 717.0]], ('1.99', 0.9948824644088745)], [[[100.0, 690.0], [579.0, 680.0], [580.0, 718.0], [101.0, 729.0]], ('R-SALAD SPINACH BABY 6 OZ', 0.9350789785385132)], [[[733.0, 715.0], [818.0, 715.0], [818.0, 758.0], [733.0, 758.0]], ('3.49', 0.9963506460189819)], [[[105.0, 732.0], [352.0, 726.0], [353.0, 761.0], [106.0, 767.0]], ('ORGANIC SUGAR', 0.9613117575645447)], [[[733.0, 757.0], [818.0, 757.0], [818.0, 800.0], [733.0, 800.0]], ('0.99', 0.997037947177887)], [[[105.0, 774.0], [523.0, 765.0], [524.0, 800.0], [106.0, 809.0]], ('BEANS ORGANIC GARBANZO', 0.9700813889503479)], [[[736.0, 798.0], [820.0, 798.0], [820.0, 842.0], [736.0, 842.0]], ('1.99', 0.9948371648788452)], [[[105.0, 812.0], [639.0, 800.0], [640.0, 840.0], [106.0, 852.0]], ('CHOC CHUNKS SEMI SWEET 1O OZ', 0.9157931208610535)], [[[734.0, 842.0], [820.0, 838.0], [822.0, 879.0], [736.0, 884.0]], ('1.49', 0.9959238171577454)], [[[107.0, 855.0], [678.0, 846.0], [679.0, 880.0], [108.0, 889.0]], ('SPAGHETTI TOMATO SAUCE ORGANIC', 0.9440717101097107)], [[[736.0, 882.0], [823.0, 882.0], [823.0, 925.0], [736.0, 925.0]], ('3.29', 0.9921672344207764)], [[[107.0, 895.0], [658.0, 888.0], [658.0, 923.0], [108.0, 930.0]], ('MEAT PANCETTA CUBED CITTERIO.', 0.9462583065032959)], [[[736.0, 923.0], [823.0, 923.0], [823.0, 968.0], [736.0, 968.0]], ('0.57', 0.9967657327651978)], [[[104.0, 933.0], [244.0, 933.0], [244.0, 973.0], [104.0, 973.0]], ('BANANAS', 0.9961200952529907)], [[[141.0, 975.0], [208.0, 975.0], [208.0, 1013.0], [141.0, 1013.0]], ('3EA', 0.9969722628593445)], [[[271.0, 970.0], [450.0, 970.0], [450.0, 1010.0], [271.0, 1010.0]], ('@0.19/EA', 0.9055989980697632)], [[[106.0, 1015.0], [486.0, 1012.0], [486.0, 1050.0], [106.0, 1053.0]], ('A-POTATO EACH RUSSET', 0.9461882710456848)], [[[740.0, 1007.0], [827.0, 1007.0], [827.0, 1052.0], [740.0, 1052.0]], ('0.49', 0.9929624199867249)], [[[104.0, 1060.0], [564.0, 1057.0], [564.0, 1092.0], [104.0, 1095.0]], ('R-CARROTS WHOLE ORG 1 LB', 0.9238430857658386)], [[[740.0, 1052.0], [828.0, 1052.0], [828.0, 1095.0], [740.0, 1095.0]], ('0.89', 0.996051549911499)], [[[102.0, 1102.0], [614.0, 1100.0], [614.0, 1135.0], [102.0, 1137.0]], ('A-AVOCADOS EACH HASS 4O CT', 0.8965072631835938)], [[[741.0, 1095.0], [830.0, 1095.0], [830.0, 1138.0], [741.0, 1138.0]], ('0.99', 0.9977447986602783)], [[[101.0, 1145.0], [583.0, 1143.0], [583.0, 1178.0], [101.0, 1180.0]], ('A-CUCUMBERS PERSIAN 14 OZ', 0.9341123700141907)], [[[741.0, 1139.0], [827.0, 1134.0], [829.0, 1178.0], [743.0, 1182.0]], ('2.49', 0.9916954040527344)], [[[741.0, 1177.0], [830.0, 1177.0], [830.0, 1220.0], [741.0, 1220.0]], ('0.99', 0.9977656602859497)], [[[99.0, 1188.0], [586.0, 1185.0], [586.0, 1223.0], [99.0, 1227.0]], ('TRADITIONAL REFRIED BEANS', 0.9621216654777527)], [[[784.0, 1264.0], [907.0, 1260.0], [909.0, 1303.0], [785.0, 1307.0]], ('$22.35', 0.9949132800102234)], [[[87.0, 1280.0], [248.0, 1276.0], [249.0, 1318.0], [88.0, 1322.0]], ('SUBTOTAL', 0.9956957101821899)], [[[784.0, 1307.0], [909.0, 1303.0], [911.0, 1346.0], [785.0, 1350.0]], ('$22.35', 0.9957786202430725)], [[[92.0, 1322.0], [288.0, 1318.0], [288.0, 1355.0], [93.0, 1359.0]], ('TOTAL', 0.9983711242675781)], [[[786.0, 1348.0], [910.0, 1348.0], [910.0, 1390.0], [786.0, 1390.0]], ('$22.35', 0.9914364814758301)], [[[94.0, 1360.0], [179.0, 1360.0], [179.0, 1397.0], [94.0, 1397.0]], ('VISA', 0.9978060126304626)], [[[99.0, 1397.0], [298.0, 1397.0], [298.0, 1432.0], [99.0, 1432.0]], ('02/03/2016', 0.97593754529953)], [[[733.0, 1390.0], [891.0, 1390.0], [891.0, 1432.0], [733.0, 1432.0]], ('15:56:15', 0.9315028786659241)], [[[397.0, 1557.0], [557.0, 1557.0], [557.0, 1597.0], [397.0, 1597.0]], ('PURCHASE', 0.9970869421958923)]]	{"store_name": "TRADERJOE'S", "store_addr": "", "telephone": "", "date": "02/03/2016", "time": "15:56:15", "subtotal": "$22.35 $22.35", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ORGANICRNDYELLOWTORT.CHIPS", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "R-SALADSPINACHBABY6OZ", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "ORGANICSUGAR", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BEANSORGANICGARBANZO", "item_value": "0.89", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOCCHUNKSSEMISWEET10OZ", "item_value": "0.49", "item_quantity": "1"}, {"item_key": "", "item_name": "SPAGHETTITOMATOSAUCEORGANIC", "item_value": "0.57", "item_quantity": "1"}, {"item_key": "", "item_name": "MEATPANCETTACUBEDCITTERIO.", "item_value": "3.29", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANAS", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "A-POTATOEACHRUSSET", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "R-CARROTSWHOLEORG1LB", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "A-AVOCADOSEACHHASS40CT.", "item_value": "3.49", "item_quantity": "1"}, {"item_key": "", "item_name": "A-CUCUMBERSPERSIAN14OZ", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "TRADITIONALREFRIEDBEANS", "item_value": "2.69", "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	[[[[105.0, 4.0], [157.0, 4.0], [157.0, 18.0], [105.0, 18.0]], ('RITE', 0.9909687042236328)], [[[106.0, 16.0], [154.0, 20.0], [152.0, 35.0], [104.0, 31.0]], ('AID', 0.9708302021026611)], [[[104.0, 38.0], [162.0, 38.0], [162.0, 52.0], [104.0, 52.0]], ('PHARMACY', 0.9894698858261108)], [[[25.0, 69.0], [88.0, 74.0], [87.0, 85.0], [24.0, 80.0]], ('Store #06149', 0.8635517954826355)], [[[25.0, 82.0], [108.0, 89.0], [107.0, 103.0], [23.0, 96.0]], ('PROVO.UT84601', 0.8853932619094849)], [[[25.0, 92.0], [98.0, 99.0], [97.0, 110.0], [24.0, 103.0]], ('(001)374-2015', 0.9132757186889648)], [[[118.0, 126.0], [158.0, 126.0], [158.0, 133.0], [118.0, 133.0]], ('2/01/10', 0.992741584777832)], [[[158.0, 123.0], [195.0, 119.0], [197.0, 130.0], [159.0, 134.0]], ('9:46A', 0.8072501420974731)], [[[179.0, 137.0], [210.0, 135.0], [211.0, 146.0], [180.0, 148.0]], ('13.99', 0.9903260469436646)], [[[34.0, 147.0], [47.0, 149.0], [45.0, 158.0], [32.0, 156.0]], ('1.', 0.7546345591545105)], [[[43.0, 167.0], [67.0, 167.0], [67.0, 178.0], [43.0, 178.0]], ('VOID', 0.9882955551147461)], [[[41.0, 183.0], [113.0, 188.0], [112.0, 201.0], [40.0, 196.0]], ('RETAIL COUPON', 0.9615181684494019)], [[[185.0, 176.0], [221.0, 173.0], [222.0, 187.0], [187.0, 190.0]], ('5.00-T', 0.9282968044281006)], [[[28.0, 189.0], [151.0, 196.0], [150.0, 213.0], [27.0, 206.0]], ('1$100FF ANV PURCHASE', 0.8776690363883972)], [[[41.0, 202.0], [113.0, 206.0], [113.0, 217.0], [40.0, 213.0]], ('RETAIL COUPON', 0.9696498513221741)], [[[182.0, 193.0], [223.0, 190.0], [224.0, 204.0], [184.0, 207.0]], ('10.00-1', 0.885658323764801)], [[[28.0, 209.0], [104.0, 214.0], [103.0, 227.0], [27.0, 222.0]], ('1 MERCHANDISE', 0.9124112725257874)], [[[191.0, 211.0], [220.0, 211.0], [220.0, 222.0], [191.0, 222.0]], ('1.00-', 0.9909971356391907)], [[[29.0, 228.0], [103.0, 233.0], [102.0, 244.0], [28.0, 239.0]], ('1 MERCHANDISE', 0.9228025078773499)], [[[191.0, 227.0], [222.0, 227.0], [222.0, 241.0], [191.0, 241.0]], ('2.00-', 0.9786170125007629)], [[[39.0, 237.0], [116.0, 241.0], [116.0, 254.0], [38.0, 250.0]], ('MANUF COUPON', 0.9195018410682678)], [[[191.0, 246.0], [240.0, 243.0], [241.0, 256.0], [192.0, 259.0]], ('7.99TH', 0.9523960947990417)], [[[28.0, 274.0], [70.0, 278.0], [69.0, 289.0], [26.0, 285.0]], ('7 Itens', 0.8247929215431213)], [[[193.0, 275.0], [221.0, 275.0], [221.0, 286.0], [193.0, 286.0]], ('8.57', 0.9406640529632568)], [[[153.0, 287.0], [177.0, 287.0], [177.0, 298.0], [153.0, 298.0]], ('Tax', 0.9495766162872314)], [[[198.0, 282.0], [223.0, 282.0], [223.0, 297.0], [198.0, 297.0]], ('.78', 0.9446055293083191)], [[[145.0, 296.0], [176.0, 296.0], [176.0, 307.0], [145.0, 307.0]], ('Total', 0.9943491220474243)], [[[195.0, 293.0], [222.0, 293.0], [222.0, 305.0], [195.0, 305.0]], ('9.35', 0.9925529360771179)], [[[40.0, 306.0], [87.0, 306.0], [87.0, 316.0], [40.0, 316.0]], ('*GIFTCR', 0.8188983798027039)], [[[196.0, 302.0], [223.0, 302.0], [223.0, 314.0], [196.0, 314.0]], ('3.00', 0.9971775412559509)], [[[59.0, 315.0], [257.0, 309.0], [257.0, 323.0], [60.0, 329.0]], ('GIFTCRcardxxxxxxxxXXXXX2969', 0.7328835129737854)], [[[59.0, 326.0], [123.0, 324.0], [123.0, 337.0], [60.0, 339.0]], ('App AUTO', 0.8662852048873901)], [[[61.0, 336.0], [133.0, 336.0], [133.0, 347.0], [61.0, 347.0]], ('Ref#999999', 0.9525271654129028)], [[[13.0, 353.0], [122.0, 357.0], [122.0, 372.0], [12.0, 368.0]], ('Balance remaining:', 0.9509742259979248)], [[[61.0, 347.0], [134.0, 347.0], [134.0, 358.0], [61.0, 358.0]], ('Card Present', 0.9672789573669434)], [[[142.0, 355.0], [168.0, 355.0], [168.0, 366.0], [142.0, 366.0]], ('$.00', 0.9963746666908264)], [[[34.0, 366.0], [123.0, 366.0], [123.0, 379.0], [34.0, 379.0]], ('CASH PAVMENT', 0.9249346852302551)], [[[200.0, 363.0], [227.0, 363.0], [227.0, 375.0], [200.0, 375.0]], ('6.35', 0.9444911479949951)], [[[130.0, 376.0], [182.0, 376.0], [182.0, 387.0], [130.0, 387.0]], ('Tendered', 0.9939974546432495)], [[[114.0, 387.0], [182.0, 387.0], [182.0, 398.0], [114.0, 398.0]], ('Cash Change', 0.9503371715545654)], [[[209.0, 383.0], [230.0, 383.0], [230.0, 397.0], [209.0, 397.0]], ('.00', 0.9562638401985168)], [[[11.0, 430.0], [153.0, 430.0], [153.0, 443.0], [11.0, 443.0]], ('TOTAL COUPON SAVINGS:', 0.9473420977592468)], [[[147.0, 429.0], [188.0, 427.0], [189.0, 441.0], [147.0, 443.0]], ('$18.00', 0.994352400302887)]]	{"store_name": "RITE AID", "store_addr": "1324N.STATEST. PROVD.UT84601", "telephone": "(801)374-2015", "date": "12/01/10", "time": "9:46AM", "subtotal": "8.57", "tax": ".78", "total": "9.35", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CONINSTHTCRLIRN3/4IN", "item_value": "13.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SKINTIMATESHVSTRAWTG7Z", "item_value": "3.29", "item_quantity": "1"}, {"item_key": "", "item_name": "TOTALADVNCDWHTPST5.8Z", "item_value": "4.59", "item_quantity": "1"}, {"item_key": "", "item_name": "SKINTIMATESHVSTRAWTG7Z", "item_value": "3.29", "item_quantity": "1"}, {"item_key": "", "item_name": "$5OFF$25NONRXPURCHAS", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$10OFFANYPURCHASE", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HERCHANDISE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MERCHANDISE", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BLINKTEARS10MLGEL", "item_value": "7.99", "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	[[[[600.0, 332.0], [1185.0, 332.0], [1185.0, 378.0], [600.0, 378.0]], ('LOTUSOF SIAM', 0.9635278582572937)], [[[630.0, 378.0], [1163.0, 384.0], [1163.0, 432.0], [630.0, 426.0]], ('953 E.Sahara Ave.#A-5', 0.9524390697479248)], [[[671.0, 435.0], [1136.0, 435.0], [1136.0, 481.0], [671.0, 481.0]], ('Las VegasNV 89104', 0.9530366063117981)], [[[753.0, 483.0], [1039.0, 483.0], [1039.0, 529.0], [753.0, 529.0]], ('702-735-3033', 0.99305659532547)], [[[636.0, 534.0], [1130.0, 540.0], [1130.0, 586.0], [635.0, 580.0]], ('www.lotusofsiamlv.com', 0.9802393317222595)], [[[451.0, 620.0], [659.0, 636.0], [654.0, 692.0], [447.0, 677.0]], ('1209 Thom', 0.9419097900390625)], [[[407.0, 725.0], [601.0, 738.0], [597.0, 792.0], [403.0, 779.0]], ('Tb1 18/1', 0.9290643930435181)], [[[775.0, 739.0], [980.0, 749.0], [977.0, 803.0], [772.0, 793.0]], ('Chk3114', 0.9967089295387268)], [[[1224.0, 749.0], [1368.0, 760.0], [1364.0, 819.0], [1220.0, 809.0]], ('Gst 4', 0.91355961561203)], [[[681.0, 793.0], [1065.0, 808.0], [1063.0, 862.0], [679.0, 847.0]], ("Jun17'1309:35PM", 0.9455573558807373)], [[[478.0, 895.0], [763.0, 916.0], [759.0, 965.0], [475.0, 944.0]], ('Dining', 0.9984197616577148)], [[[426.0, 947.0], [716.0, 968.0], [712.0, 1016.0], [422.0, 995.0]], ('13.EGG ROLL', 0.9631146788597107)], [[[1164.0, 974.0], [1280.0, 981.0], [1276.0, 1043.0], [1159.0, 1036.0]], ('7.95', 0.9797273874282837)], [[[420.0, 1003.0], [689.0, 1022.0], [685.0, 1070.0], [417.0, 1052.0]], ('15.TEMPURA', 0.9891543388366699)], [[[1144.0, 1040.0], [1273.0, 1040.0], [1273.0, 1099.0], [1144.0, 1099.0]], ('11.95', 0.984829306602478)], [[[412.0, 1058.0], [845.0, 1084.0], [842.0, 1138.0], [409.0, 1112.0]], ('137.BEEF EGGPLANT', 0.9629642367362976)], [[[1141.0, 1093.0], [1272.0, 1100.0], [1268.0, 1159.0], [1137.0, 1152.0]], ('12.95', 0.9578684568405151)], [[[406.0, 1117.0], [653.0, 1132.0], [650.0, 1181.0], [403.0, 1165.0]], ('16.SA-TAY', 0.9670568108558655)], [[[1152.0, 1156.0], [1268.0, 1156.0], [1268.0, 1218.0], [1152.0, 1218.0]], ('9.95', 0.985109269618988)], [[[492.0, 1176.0], [768.0, 1192.0], [765.0, 1246.0], [488.0, 1230.0]], ('SLICED CHIX', 0.9638071656227112)], [[[390.0, 1230.0], [763.0, 1251.0], [760.0, 1305.0], [387.0, 1284.0]], ('140.THAI SALAD', 0.9527269005775452)], [[[1147.0, 1265.0], [1263.0, 1273.0], [1259.0, 1332.0], [1143.0, 1325.0]], ('7.95', 0.9773562550544739)], [[[387.0, 1287.0], [735.0, 1308.0], [732.0, 1362.0], [384.0, 1341.0]], ('1 102.PAD THAI', 0.9281448721885681)], [[[1144.0, 1331.0], [1260.0, 1331.0], [1260.0, 1393.0], [1144.0, 1393.0]], ('8.95', 0.978734016418457)], [[[473.0, 1352.0], [752.0, 1370.0], [748.0, 1424.0], [469.0, 1406.0]], ('SLICED PORK', 0.9626535177230835)], [[[368.0, 1406.0], [593.0, 1421.0], [589.0, 1475.0], [364.0, 1459.0]], ('1 SPECIAL', 0.9553244709968567)], [[[1138.0, 1453.0], [1254.0, 1453.0], [1254.0, 1515.0], [1138.0, 1515.0]], ('1.00', 0.9886412620544434)], [[[360.0, 1468.0], [815.0, 1494.0], [812.0, 1548.0], [356.0, 1522.0]], ('1129.YELLOW CURRY', 0.9448219537734985)], [[[1115.0, 1508.0], [1253.0, 1519.0], [1248.0, 1581.0], [1110.0, 1570.0]], ('10.95', 0.9916498064994812)], [[[446.0, 1532.0], [736.0, 1554.0], [731.0, 1608.0], [441.0, 1586.0]], ('SLICED CHIX', 0.9578567743301392)], [[[341.0, 1589.0], [752.0, 1616.0], [748.0, 1670.0], [337.0, 1643.0]], ('1 SOFTSHELL CRAB', 0.9315155148506165)], [[[1126.0, 1632.0], [1247.0, 1643.0], [1242.0, 1705.0], [1120.0, 1694.0]], ('0.00', 0.9603199362754822)], [[[429.0, 1657.0], [796.0, 1681.0], [792.0, 1734.0], [425.0, 1711.0]], ('DRUNKEN NOODLE', 0.9675043225288391)], [[[1104.0, 1694.0], [1245.0, 1707.0], [1239.0, 1769.0], [1098.0, 1756.0]], ('18.95', 0.9920942187309265)], [[[322.0, 1710.0], [552.0, 1729.0], [547.0, 1786.0], [317.0, 1767.0]], ('1 SPECIAL', 0.950526237487793)], [[[1096.0, 1759.0], [1242.0, 1773.0], [1236.0, 1835.0], [1090.0, 1821.0]], ('58.00', 0.9476467370986938)], [[[363.0, 1778.0], [807.0, 1810.0], [803.0, 1867.0], [359.0, 1835.0]], ('JOKIGEN RED LABLE', 0.965539276599884)], [[[401.0, 1848.0], [722.0, 1870.0], [718.0, 1926.0], [398.0, 1905.0]], ('SPECIAL PREP', 0.9781827926635742)], [[[287.0, 1905.0], [480.0, 1921.0], [475.0, 1981.0], [282.0, 1964.0]], ('1 MANGO', 0.9488406181335449)], [[[1110.0, 1956.0], [1240.0, 1967.0], [1233.0, 2038.0], [1103.0, 2026.0]], ('7.95', 0.9777219295501709)], [[[271.0, 1969.0], [576.0, 1994.0], [571.0, 2059.0], [265.0, 2034.0]], ('1 CNUT ICRM', 0.9557266235351562)], [[[1107.0, 2029.0], [1237.0, 2040.0], [1230.0, 2111.0], [1101.0, 2099.0]], ('3.00', 0.9560396671295166)], [[[301.0, 2112.0], [524.0, 2132.0], [518.0, 2197.0], [295.0, 2177.0]], ('SUBTOTAL', 0.9959598779678345)], [[[1052.0, 2169.0], [1228.0, 2183.0], [1222.0, 2253.0], [1046.0, 2240.0]], ('159.55', 0.986077070236206)], [[[290.0, 2180.0], [387.0, 2188.0], [381.0, 2256.0], [284.0, 2248.0]], ('TAX', 0.9974217414855957)], [[[180.0, 2244.0], [648.0, 2289.0], [642.0, 2354.0], [174.0, 2309.0]], ('10:40PM TOTAL DUE', 0.9346222281455994)], [[[1071.0, 2242.0], [1229.0, 2256.0], [1222.0, 2327.0], [1065.0, 2312.0]], ('12.92', 0.977984607219696)], [[[879.0, 2304.0], [1214.0, 2332.0], [1209.0, 2399.0], [873.0, 2372.0]], ('172.47', 0.9946903586387634)], [[[378.0, 2412.0], [1006.0, 2469.0], [1000.0, 2532.0], [372.0, 2474.0]], ('THANK YOU FOR VISITING', 0.9537189602851868)]]	{"store_name": "LOTUSOFSIAM", "store_addr": "953E.SaharaAve.#A-5 LasVegas,NV89104", "telephone": "702-735-3033", "date": "Jun17'13", "time": "09:35PM 10:40PM", "subtotal": "159.55", "tax": "12.92", "total": "172.47", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "3.EGGROLL", "item_value": "7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "5.TEMPURA", "item_value": "11.95", "item_quantity": "1"}, {"item_key": "", "item_name": "37.BEEFEGGPLANT", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "6.SA-TAY", "item_value": "9.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SLICEDCHIX", "item_value": "7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "40.THAISALAD", "item_value": "8.95", "item_quantity": "1"}, {"item_key": "", "item_name": "102.PADTHAI", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SLICEDPORK", "item_value": "10.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SPECIAL", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "129.YELLOWCURRY", "item_value": "18.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SLICEDCHIX", "item_value": "58.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SOFTSHELLCRAB", "item_value": "7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "DRUNKENNOODLE", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SPECIAL", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "JOKIGENREDLABLE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SPECIALPREP", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MANGO", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CNUTICRM", "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	[[[[24.0, 0.0], [343.0, 1.0], [343.0, 15.0], [24.0, 14.0]], ('**************************************', 0.9793969392776489)], [[[24.0, 18.0], [121.0, 18.0], [121.0, 34.0], [24.0, 34.0]], ('Sushi Yasuda', 0.9630708694458008)], [[[22.0, 37.0], [183.0, 35.0], [183.0, 52.0], [23.0, 54.0]], ('204 East 43rd Street', 0.9497135877609253)], [[[22.0, 57.0], [168.0, 56.0], [168.0, 73.0], [22.0, 74.0]], ('New York Ny 10017', 0.8985441327095032)], [[[23.0, 77.0], [135.0, 76.0], [135.0, 94.0], [24.0, 95.0]], ('212)972-1001', 0.9522694945335388)], [[[23.0, 117.0], [90.0, 117.0], [90.0, 134.0], [23.0, 134.0]], ('06/05/13', 0.9475669860839844)], [[[110.0, 116.0], [169.0, 116.0], [169.0, 134.0], [110.0, 134.0]], ('1:19PM', 0.95196133852005)], [[[23.0, 136.0], [184.0, 136.0], [184.0, 155.0], [23.0, 155.0]], ('Check 3528', 0.9604598879814148)], [[[23.0, 157.0], [115.0, 157.0], [115.0, 174.0], [23.0, 174.0]], ('Waiter 1 MG', 0.9258316159248352)], [[[131.0, 157.0], [186.0, 157.0], [186.0, 175.0], [131.0, 175.0]], ('Cust 2', 0.9308623671531677)], [[[152.0, 177.0], [280.0, 177.0], [280.0, 194.0], [152.0, 194.0]], ('Table7A', 0.9841075539588928)], [[[25.0, 198.0], [344.0, 198.0], [344.0, 211.0], [25.0, 211.0]], ('**************************************', 0.9556290507316589)], [[[22.0, 256.0], [96.0, 256.0], [96.0, 274.0], [22.0, 274.0]], ('1 Edamame', 0.9516653418540955)], [[[293.0, 254.0], [332.0, 254.0], [332.0, 276.0], [293.0, 276.0]], ('9.00', 0.994745135307312)], [[[20.0, 274.0], [73.0, 277.0], [72.0, 295.0], [19.0, 292.0]], ('1Kimo', 0.8986713290214539)], [[[288.0, 276.0], [332.0, 276.0], [332.0, 294.0], [288.0, 294.0]], ('10.50', 0.9971325993537903)], [[[21.0, 296.0], [166.0, 296.0], [166.0, 313.0], [21.0, 313.0]], ('1 A la Carte Sushi', 0.9232831597328186)], [[[279.0, 295.0], [331.0, 295.0], [331.0, 313.0], [279.0, 313.0]], ('243.00', 0.996638298034668)], [[[174.0, 334.0], [240.0, 334.0], [240.0, 355.0], [174.0, 355.0]], ('Taxable:', 0.9875559210777283)], [[[279.0, 335.0], [332.0, 335.0], [332.0, 356.0], [279.0, 356.0]], ('262.50', 0.9964244961738586)], [[[158.0, 376.0], [239.0, 376.0], [239.0, 394.0], [158.0, 394.0]], ('Sub-total:', 0.9582306742668152)], [[[279.0, 375.0], [332.0, 375.0], [332.0, 396.0], [279.0, 396.0]], ('262.50', 0.9952643513679504)], [[[155.0, 395.0], [240.0, 397.0], [240.0, 417.0], [155.0, 414.0]], ('Sales Tax', 0.9633612036705017)], [[[286.0, 397.0], [334.0, 397.0], [334.0, 418.0], [286.0, 418.0]], ('23.30', 0.9975286722183228)], [[[67.0, 437.0], [232.0, 438.0], [231.0, 458.0], [67.0, 457.0]], ('Total Due:', 0.9352368116378784)], [[[231.0, 445.0], [244.0, 445.0], [244.0, 452.0], [231.0, 452.0]], ('-', 0.5165234208106995)], [[[246.0, 439.0], [348.0, 439.0], [348.0, 459.0], [246.0, 459.0]], ('285.80', 0.9945964813232422)], [[[72.0, 498.0], [324.0, 505.0], [323.0, 524.0], [71.0, 518.0]], ('Following the custom in Japan,', 0.932138204574585)], [[[55.0, 520.0], [327.0, 526.0], [326.0, 546.0], [55.0, 540.0]], ("Sushi Yasuda's service staff are", 0.9550420641899109)], [[[47.0, 539.0], [330.0, 548.0], [329.0, 568.0], [47.0, 560.0]], ('fully compensated by their salary', 0.956156313419342)], [[[41.0, 562.0], [357.0, 571.0], [357.0, 591.0], [40.0, 582.0]], ('Therefore gratuities are not accepted', 0.9721208810806274)], [[[155.0, 606.0], [240.0, 610.0], [239.0, 631.0], [154.0, 626.0]], ('Thank you.', 0.9498112797737122)], [[[211.0, 635.0], [397.0, 633.0], [397.0, 653.0], [211.0, 654.0]], ('photo:the price hike', 0.954196572303772)]]	{"store_name": "SushiYasuda", "store_addr": "204East43rdstreet NewYorkNY10017", "telephone": "(212)972-1001", "date": "06/05/13", "time": "1:19PM", "subtotal": "262.50 262.50", "tax": "23.30", "total": "285.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Edamame", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Kimo", "item_value": "10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "AlaCarteSushi", "item_value": "243.00", "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	[[[[168.0, 5.0], [302.0, 0.0], [303.0, 13.0], [168.0, 20.0]], ('T:(703)566', 0.7142031788825989)], [[[208.0, 41.0], [309.0, 33.0], [310.0, 48.0], [209.0, 56.0]], ('MON MAY 11.2015', 0.849431037902832)], [[[149.0, 56.0], [362.0, 43.0], [363.0, 60.0], [150.0, 74.0]], ('CHECK#1210371-1', 0.9332078695297241)], [[[228.0, 66.0], [291.0, 60.0], [292.0, 77.0], [229.0, 83.0]], ('TABLE#13', 0.975763201713562)], [[[329.0, 86.0], [377.0, 84.0], [378.0, 101.0], [330.0, 104.0]], ('$10.69', 0.988490879535675)], [[[152.0, 100.0], [271.0, 91.0], [272.0, 108.0], [154.0, 117.0]], ('1LUMBERJACK SLAM', 0.9366269111633301)], [[[337.0, 103.0], [377.0, 100.0], [378.0, 115.0], [338.0, 118.0]], ('$2.69', 0.9898783564567566)], [[[153.0, 115.0], [223.0, 111.0], [224.0, 126.0], [153.0, 129.0]], ('1LG JUICE', 0.9025380611419678)], [[[338.0, 117.0], [380.0, 117.0], [380.0, 135.0], [338.0, 135.0]], ('$2.09', 0.9975759387016296)], [[[153.0, 129.0], [209.0, 128.0], [210.0, 143.0], [153.0, 144.0]], ('1COFFEE', 0.9673041701316833)], [[[333.0, 134.0], [381.0, 132.0], [381.0, 149.0], [334.0, 152.0]], ('$10.89', 0.9865099787712097)], [[[151.0, 145.0], [238.0, 139.0], [239.0, 156.0], [152.0, 162.0]], ('1CFS&EGGS', 0.8485338687896729)], [[[334.0, 149.0], [382.0, 147.0], [382.0, 166.0], [335.0, 168.0]], ('$26.36', 0.9940493702888489)], [[[164.0, 159.0], [231.0, 156.0], [231.0, 174.0], [164.0, 176.0]], ('SUB-TOTAL', 0.992854118347168)], [[[163.0, 176.0], [191.0, 176.0], [191.0, 192.0], [163.0, 192.0]], ('TAX', 0.9939705729484558)], [[[341.0, 167.0], [383.0, 164.0], [385.0, 183.0], [342.0, 185.0]], ('$1.92', 0.9935880899429321)], [[[142.0, 191.0], [212.0, 189.0], [213.0, 208.0], [142.0, 210.0]], ('TOTAL', 0.9986184239387512)], [[[287.0, 186.0], [379.0, 182.0], [379.0, 199.0], [287.0, 204.0]], ('$28.28', 0.9929148554801941)], [[[204.0, 223.0], [247.0, 223.0], [247.0, 241.0], [204.0, 241.0]], ('TIP$', 0.975766658782959)], [[[189.0, 241.0], [246.0, 238.0], [246.0, 256.0], [190.0, 259.0]], ('TOTAL$', 0.9533450603485107)], [[[166.0, 259.0], [363.0, 250.0], [364.0, 268.0], [166.0, 276.0]], ('THANKS FOR DINING WITH US', 0.9386582970619202)], [[[156.0, 276.0], [244.0, 274.0], [244.0, 291.0], [156.0, 294.0]], ('Time:14:27', 0.9435035586357117)], [[[279.0, 271.0], [372.0, 269.0], [372.0, 287.0], [279.0, 290.0]], ('2 CUSTOMERS', 0.9392326474189758)], [[[227.0, 312.0], [301.0, 309.0], [302.0, 327.0], [228.0, 331.0]], ('THANK YOU', 0.959404706954956)], [[[176.0, 333.0], [352.0, 327.0], [353.0, 348.0], [177.0, 353.0]], ('PLEASE VISIT US AGAIN', 0.9490918517112732)], [[[183.0, 374.0], [355.0, 370.0], [356.0, 391.0], [184.0, 395.0]], ('YOU HAVE BEEN SERVED', 0.9554628133773804)], [[[225.0, 398.0], [315.0, 398.0], [315.0, 416.0], [225.0, 416.0]], ('BYSusan', 0.9906875491142273)], [[[135.0, 468.0], [425.0, 462.0], [425.0, 486.0], [135.0, 491.0]], ('1210371', 0.9542551040649414)], [[[90.0, 505.0], [353.0, 499.0], [354.0, 538.0], [91.0, 544.0]], ('A00sor', 0.5143027901649475)], [[[70.0, 569.0], [451.0, 540.0], [454.0, 586.0], [73.0, 615.0]], ('LiFE ALECT BU+TO', 0.5952721238136292)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "MONMAY11.2015", "time": "14:27", "subtotal": "$26.36", "tax": "$1.92", "total": "$28.28", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LUMBERJACKSLAM", "item_value": "$10.69", "item_quantity": "1"}, {"item_key": "", "item_name": "LGJUICE", "item_value": "$2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "COFFEE", "item_value": "$2.09", "item_quantity": "1"}, {"item_key": "", "item_name": "CFS&EGGS", "item_value": "$10.89", "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	[[[[24.0, 0.0], [343.0, 1.0], [343.0, 15.0], [24.0, 14.0]], ('**************************************', 0.9807065725326538)], [[[24.0, 18.0], [122.0, 18.0], [122.0, 34.0], [24.0, 34.0]], ('Sushi Yasuda', 0.9672160148620605)], [[[23.0, 37.0], [183.0, 36.0], [183.0, 53.0], [23.0, 54.0]], ('204 East 43rd Street', 0.9472214579582214)], [[[22.0, 57.0], [168.0, 56.0], [168.0, 73.0], [22.0, 74.0]], ('New York Ny 10017', 0.908531665802002)], [[[23.0, 77.0], [135.0, 76.0], [135.0, 94.0], [24.0, 95.0]], ('212)972-1001', 0.960740864276886)], [[[23.0, 117.0], [89.0, 117.0], [89.0, 134.0], [23.0, 134.0]], ('06/05/13', 0.9976788759231567)], [[[110.0, 116.0], [169.0, 116.0], [169.0, 134.0], [110.0, 134.0]], ('1:19PM', 0.9582460522651672)], [[[23.0, 136.0], [184.0, 136.0], [184.0, 155.0], [23.0, 155.0]], ('Check 3528', 0.9356976747512817)], [[[23.0, 157.0], [115.0, 157.0], [115.0, 174.0], [23.0, 174.0]], ('Waiter 1MG', 0.9664627313613892)], [[[131.0, 157.0], [186.0, 157.0], [186.0, 175.0], [131.0, 175.0]], ('Cust 2', 0.9271789193153381)], [[[152.0, 177.0], [280.0, 177.0], [280.0, 194.0], [152.0, 194.0]], ('Table7A', 0.9860501289367676)], [[[25.0, 198.0], [345.0, 198.0], [345.0, 211.0], [25.0, 211.0]], ('**************************************', 0.9566402435302734)], [[[21.0, 254.0], [96.0, 257.0], [96.0, 275.0], [20.0, 272.0]], ('1Edamame', 0.9832797050476074)], [[[294.0, 256.0], [332.0, 256.0], [332.0, 275.0], [294.0, 275.0]], ('9.00', 0.9968637228012085)], [[[21.0, 274.0], [73.0, 277.0], [72.0, 295.0], [20.0, 292.0]], ('1 Kimo', 0.8469496369361877)], [[[288.0, 276.0], [332.0, 276.0], [332.0, 294.0], [288.0, 294.0]], ('10.50', 0.9967690706253052)], [[[21.0, 296.0], [167.0, 296.0], [167.0, 313.0], [21.0, 313.0]], ('1A la Carte Sushi', 0.9409738183021545)], [[[279.0, 295.0], [332.0, 295.0], [332.0, 316.0], [279.0, 316.0]], ('243.00', 0.9960713982582092)], [[[174.0, 334.0], [240.0, 334.0], [240.0, 355.0], [174.0, 355.0]], ('Taxable:', 0.9862266182899475)], [[[279.0, 335.0], [333.0, 335.0], [333.0, 356.0], [279.0, 356.0]], ('262.50', 0.9947274327278137)], [[[158.0, 376.0], [239.0, 376.0], [239.0, 394.0], [158.0, 394.0]], ('Sub-total:', 0.9601109623908997)], [[[279.0, 375.0], [332.0, 375.0], [332.0, 396.0], [279.0, 396.0]], ('262.50', 0.9952041506767273)], [[[155.0, 395.0], [240.0, 397.0], [240.0, 417.0], [155.0, 414.0]], ('Sales Tax:', 0.9193625450134277)], [[[286.0, 397.0], [334.0, 397.0], [334.0, 418.0], [286.0, 418.0]], ('23.30', 0.9972213506698608)], [[[66.0, 437.0], [232.0, 438.0], [231.0, 458.0], [66.0, 457.0]], ('Total Due:', 0.9500819444656372)], [[[246.0, 439.0], [348.0, 439.0], [348.0, 459.0], [246.0, 459.0]], ('285.80', 0.9950560927391052)], [[[71.0, 498.0], [324.0, 505.0], [323.0, 524.0], [70.0, 518.0]], ('Following the custom in Japan,', 0.9457870125770569)], [[[55.0, 520.0], [327.0, 526.0], [326.0, 546.0], [55.0, 540.0]], ("Sushi Yasuda's service staff are", 0.9485546350479126)], [[[47.0, 541.0], [330.0, 548.0], [329.0, 567.0], [47.0, 561.0]], ('fully compensated by their salary', 0.9637264013290405)], [[[41.0, 562.0], [357.0, 571.0], [357.0, 591.0], [40.0, 582.0]], ('Therefore gratuities are not accepted.', 0.9440602660179138)], [[[155.0, 606.0], [240.0, 610.0], [239.0, 631.0], [154.0, 626.0]], ('Thank you.', 0.9184716939926147)], [[[211.0, 635.0], [397.0, 633.0], [397.0, 653.0], [211.0, 654.0]], ('photo:the price hike', 0.9568918347358704)]]	{"store_name": "SushiYasuda", "store_addr": "204East43rdStreet NewYorkNY10017", "telephone": "(212)972-1001", "date": "06/05/13", "time": "1:19PM", "subtotal": "262.50 262.50", "tax": "23.30", "total": "285.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Edamame", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Kimo", "item_value": "10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "AlaCarteSushi", "item_value": "243.00", "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	[[[[58.0, 1.0], [399.0, 2.0], [399.0, 16.0], [58.0, 15.0]], ('**************************************', 0.9091330766677856)], [[[58.0, 20.0], [160.0, 20.0], [160.0, 37.0], [58.0, 37.0]], ('Sushi Yasuda', 0.9708085060119629)], [[[58.0, 41.0], [227.0, 41.0], [227.0, 58.0], [58.0, 58.0]], ('204 East 43rd Street', 0.9419832229614258)], [[[56.0, 62.0], [210.0, 61.0], [210.0, 79.0], [56.0, 80.0]], ('New York Ny 10017', 0.9066110849380493)], [[[58.0, 83.0], [177.0, 83.0], [177.0, 102.0], [58.0, 102.0]], ('212972-1001', 0.9927421808242798)], [[[56.0, 125.0], [213.0, 125.0], [213.0, 145.0], [56.0, 145.0]], ('06/05/131:19PM', 0.9581279754638672)], [[[57.0, 147.0], [228.0, 147.0], [228.0, 167.0], [57.0, 167.0]], ('Check 3528', 0.965052604675293)], [[[57.0, 170.0], [230.0, 170.0], [230.0, 187.0], [57.0, 187.0]], ('Waiter 1 MGCust 2', 0.9359128475189209)], [[[193.0, 189.0], [331.0, 189.0], [331.0, 209.0], [193.0, 209.0]], ('Table 7A', 0.9290847778320312)], [[[59.0, 213.0], [400.0, 213.0], [400.0, 227.0], [59.0, 227.0]], ('**************************************', 0.9257109761238098)], [[[55.0, 272.0], [137.0, 276.0], [136.0, 297.0], [54.0, 293.0]], ('1 Edamame', 0.9451799392700195)], [[[346.0, 273.0], [386.0, 273.0], [386.0, 295.0], [346.0, 295.0]], ('9.00', 0.9966423511505127)], [[[54.0, 293.0], [111.0, 296.0], [110.0, 316.0], [53.0, 314.0]], ('1 Kimo', 0.8727927207946777)], [[[340.0, 294.0], [387.0, 294.0], [387.0, 316.0], [340.0, 316.0]], ('10.50', 0.9956458806991577)], [[[56.0, 318.0], [208.0, 318.0], [208.0, 335.0], [56.0, 335.0]], ('1 A la Carte Sushi', 0.9053984880447388)], [[[330.0, 317.0], [386.0, 317.0], [386.0, 338.0], [330.0, 338.0]], ('243.00', 0.9963783621788025)], [[[216.0, 356.0], [290.0, 358.0], [289.0, 383.0], [215.0, 381.0]], ('Taxable:', 0.9858160614967346)], [[[329.0, 358.0], [386.0, 358.0], [386.0, 380.0], [329.0, 380.0]], ('262.50', 0.9941480755805969)], [[[200.0, 402.0], [289.0, 402.0], [289.0, 423.0], [200.0, 423.0]], ('Sub-total:', 0.9481393694877625)], [[[330.0, 403.0], [388.0, 403.0], [388.0, 425.0], [330.0, 425.0]], ('262.50', 0.996312141418457)], [[[200.0, 422.0], [289.0, 426.0], [288.0, 447.0], [199.0, 443.0]], ('Sales Tax', 0.9661581516265869)], [[[339.0, 426.0], [389.0, 426.0], [389.0, 447.0], [339.0, 447.0]], ('23.30', 0.9966343641281128)], [[[104.0, 467.0], [278.0, 468.0], [278.0, 489.0], [104.0, 488.0]], ('Total Due:', 0.9573795199394226)], [[[295.0, 469.0], [405.0, 471.0], [404.0, 491.0], [294.0, 489.0]], ('285.80', 0.9949910044670105)], [[[110.0, 535.0], [376.0, 541.0], [376.0, 561.0], [110.0, 555.0]], ('Following the custom in Japan', 0.9468738436698914)], [[[93.0, 558.0], [380.0, 563.0], [380.0, 583.0], [92.0, 578.0]], ("Sushi Yasuda's service staff are", 0.9638038873672485)], [[[83.0, 580.0], [385.0, 588.0], [384.0, 609.0], [82.0, 600.0]], ('fully compensated by their salary', 0.9405514001846313)], [[[75.0, 600.0], [413.0, 610.0], [413.0, 633.0], [74.0, 623.0]], ('Therefore gratuities are not acceptee', 0.9519538879394531)], [[[198.0, 648.0], [286.0, 654.0], [285.0, 676.0], [197.0, 670.0]], ('Thank you', 0.963429868221283)], [[[258.0, 678.0], [455.0, 677.0], [456.0, 698.0], [258.0, 699.0]], ('photo:the price hike', 0.9474245309829712)]]	{"store_name": "SushiYasuda", "store_addr": "204East43rdStreet NewYorkNY10017", "telephone": "(212)972-1001", "date": "06/05/13", "time": "1:19PM", "subtotal": "262.50 262.50", "tax": "23.30", "total": "285.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Edamame", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Kimo", "item_value": "10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "AlaCarteSushi", "item_value": "243.00", "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	[[[[73.0, 80.0], [276.0, 84.0], [276.0, 107.0], [72.0, 103.0]], ('ninetysevengroup', 0.9981000423431396)], [[[74.0, 107.0], [391.0, 107.0], [391.0, 121.0], [74.0, 121.0]], ('*****************************x***', 0.7719864249229431)], [[[81.0, 126.0], [195.0, 126.0], [195.0, 143.0], [81.0, 143.0]], ('CHECK#122055', 0.9853136539459229)], [[[278.0, 125.0], [385.0, 123.0], [386.0, 144.0], [279.0, 146.0]], ('DATE 6/15/02', 0.9652610421180725)], [[[281.0, 145.0], [317.0, 145.0], [317.0, 163.0], [281.0, 163.0]], ('TIME', 0.9531829953193665)], [[[316.0, 145.0], [386.0, 145.0], [386.0, 163.0], [316.0, 163.0]], ('140AM', 0.8333183526992798)], [[[76.0, 165.0], [148.0, 165.0], [148.0, 179.0], [76.0, 179.0]], ('88', 0.7859662771224976)], [[[168.0, 163.0], [290.0, 165.0], [290.0, 183.0], [168.0, 181.0]], ('DUPLICATE CHECK', 0.966948926448822)], [[[320.0, 164.0], [393.0, 164.0], [393.0, 181.0], [320.0, 181.0]], ('******', 0.9512906670570374)], [[[169.0, 221.0], [297.0, 221.0], [297.0, 241.0], [169.0, 241.0]], ('CLUB97BARMAN1', 0.9805739521980286)], [[[113.0, 256.0], [219.0, 259.0], [219.0, 280.0], [112.0, 277.0]], ('ITEMS ORDERED', 0.9726547002792358)], [[[341.0, 258.0], [393.0, 258.0], [393.0, 279.0], [341.0, 279.0]], ('AMOUNT', 0.9955318570137024)], [[[114.0, 297.0], [195.0, 297.0], [195.0, 314.0], [114.0, 314.0]], ('1HEINEKEN', 0.9871904850006104)], [[[350.0, 298.0], [393.0, 298.0], [393.0, 316.0], [350.0, 316.0]], ('48.00', 0.9954932332038879)], [[[112.0, 314.0], [173.0, 317.0], [172.0, 335.0], [111.0, 332.0]], ('1.SOURS', 0.886509358882904)], [[[350.0, 317.0], [393.0, 317.0], [393.0, 335.0], [350.0, 335.0]], ('70.00', 0.9968780279159546)], [[[112.0, 333.0], [203.0, 336.0], [203.0, 353.0], [111.0, 350.0]], ('1SEABREEZE', 0.9796587824821472)], [[[350.0, 336.0], [393.0, 336.0], [393.0, 356.0], [350.0, 356.0]], ('70.00', 0.9945648908615112)], [[[113.0, 352.0], [234.0, 355.0], [234.0, 372.0], [112.0, 369.0]], ('1PEACH SCHNAPS', 0.9556364417076111)], [[[349.0, 354.0], [393.0, 357.0], [392.0, 376.0], [348.0, 373.0]], ('40.00', 0.9961296916007996)], [[[113.0, 370.0], [241.0, 374.0], [241.0, 392.0], [112.0, 388.0]], ('1F.ORANGEJUICE', 0.9792032241821289)], [[[350.0, 375.0], [394.0, 375.0], [394.0, 394.0], [350.0, 394.0]], ('38.00', 0.9944982528686523)], [[[114.0, 393.0], [188.0, 393.0], [188.0, 411.0], [114.0, 411.0]], ('TNOTHING', 0.948567271232605)], [[[349.0, 394.0], [402.0, 394.0], [402.0, 415.0], [349.0, 415.0]], ('50.00', 0.993401825428009)], [[[74.0, 431.0], [325.0, 434.0], [324.0, 447.0], [74.0, 444.0]], ('************************', 0.7221945524215698)], [[[351.0, 437.0], [389.0, 437.0], [389.0, 448.0], [351.0, 448.0]], ('x**', 0.6980435252189636)], [[[103.0, 468.0], [230.0, 470.0], [230.0, 490.0], [102.0, 488.0]], ('SUBTOTAL', 0.9967894554138184)], [[[296.0, 473.0], [391.0, 473.0], [391.0, 491.0], [296.0, 491.0]], ('316.00', 0.9989184737205505)], [[[119.0, 489.0], [232.0, 489.0], [232.0, 509.0], [119.0, 509.0]], ('SERVICE', 0.9979838728904724)], [[[311.0, 493.0], [392.0, 493.0], [392.0, 511.0], [311.0, 511.0]], ('31.60', 0.9980533719062805)], [[[86.0, 546.0], [232.0, 548.0], [232.0, 569.0], [85.0, 567.0]], ('TOTAL DUE', 0.9594512581825256)], [[[293.0, 548.0], [393.0, 550.0], [392.0, 571.0], [292.0, 569.0]], ('347.60', 0.9945713877677917)], [[[212.0, 623.0], [306.0, 625.0], [305.0, 646.0], [212.0, 644.0]], ('OF GUESTS', 0.9544195532798767)], [[[382.0, 626.0], [399.0, 629.0], [396.0, 648.0], [379.0, 645.0]], ('6', 0.9560481905937195)]]	{"store_name": "ninetysevengroup", "store_addr": "", "telephone": "", "date": "6/15/02", "time": "1:40AM", "subtotal": "316.00", "tax": "", "total": "347.60", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HEINEKEN", "item_value": "48.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SOURS", "item_value": "70.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SEABREEZE", "item_value": "70.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PEACHSCHNAPS", "item_value": "40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "F.ORANGEJUICE", "item_value": "38.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NOTHING", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "ITEMSORDERED", "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	[[[[260.0, 201.0], [430.0, 189.0], [432.0, 220.0], [263.0, 232.0]], ('Orange CityFL', 0.9333671927452087)], [[[275.0, 228.0], [430.0, 213.0], [432.0, 239.0], [278.0, 254.0]], ('386774-8625', 0.9930936694145203)], [[[276.0, 278.0], [421.0, 261.0], [424.0, 283.0], [279.0, 300.0]], ('CUSTOMER COPY', 0.9710967540740967)], [[[260.0, 298.0], [495.0, 277.0], [497.0, 309.0], [263.0, 329.0]], ('5/6/2016 10:43:03 AM', 0.91682368516922)], [[[305.0, 321.0], [391.0, 312.0], [394.0, 337.0], [308.0, 346.0]], ('DINE IN', 0.9777069687843323)], [[[120.0, 348.0], [277.0, 355.0], [276.0, 380.0], [119.0, 373.0]], ('Order Number:', 0.9336328506469727)], [[[307.0, 344.0], [391.0, 337.0], [394.0, 363.0], [310.0, 371.0]], ('4233297', 0.9993633031845093)], [[[544.0, 390.0], [596.0, 390.0], [596.0, 418.0], [544.0, 418.0]], ('6.25', 0.9220947027206421)], [[[146.0, 408.0], [312.0, 398.0], [314.0, 427.0], [148.0, 436.0]], ('Mea1-SpcySand', 0.9696584343910217)], [[[176.0, 436.0], [289.0, 426.0], [292.0, 454.0], [179.0, 464.0]], ('Spcy Sand', 0.9606537222862244)], [[[177.0, 465.0], [275.0, 453.0], [278.0, 478.0], [180.0, 491.0]], ('Fries MD', 0.9637866020202637)], [[[176.0, 494.0], [297.0, 478.0], [301.0, 503.0], [179.0, 519.0]], ('Swt Tea MD', 0.9378814697265625)], [[[545.0, 530.0], [613.0, 527.0], [614.0, 558.0], [546.0, 561.0]], ('$6.25', 0.9841349720954895)], [[[148.0, 551.0], [284.0, 534.0], [288.0, 564.0], [151.0, 580.0]], ('Sub.Total:', 0.9496244192123413)], [[[549.0, 563.0], [614.0, 560.0], [615.0, 587.0], [551.0, 590.0]], ('$0.41', 0.9885746240615845)], [[[147.0, 582.0], [201.0, 577.0], [203.0, 605.0], [150.0, 609.0]], ('Tax:', 0.9836122989654541)], [[[550.0, 593.0], [621.0, 589.0], [623.0, 619.0], [552.0, 623.0]], ('$6.66', 0.9922922849655151)], [[[148.0, 611.0], [225.0, 604.0], [228.0, 635.0], [151.0, 641.0]], ('Total:', 0.9845967888832092)], [[[557.0, 656.0], [628.0, 652.0], [630.0, 683.0], [559.0, 687.0]], ('$0.34', 0.9898227453231812)], [[[146.0, 675.0], [228.0, 673.0], [229.0, 703.0], [147.0, 705.0]], ('Change', 0.9981672167778015)], [[[561.0, 689.0], [632.0, 689.0], [632.0, 719.0], [561.0, 719.0]], ('$7.00', 0.9957591891288757)], [[[143.0, 708.0], [203.0, 705.0], [205.0, 737.0], [145.0, 740.0]], ('Cash', 0.9972751140594482)], [[[372.0, 729.0], [631.0, 723.0], [632.0, 751.0], [372.0, 758.0]], ('Tran Seq No4233297', 0.9518249034881592)], [[[103.0, 748.0], [240.0, 737.0], [243.0, 767.0], [105.0, 778.0]], ('Register:5', 0.9827520251274109)], [[[102.0, 784.0], [354.0, 765.0], [357.0, 793.0], [104.0, 812.0]], ('Cashier:Christopher', 0.9771449565887451)], [[[157.0, 812.0], [584.0, 791.0], [585.0, 823.0], [159.0, 844.0]], ('It was our pleasure serving you!', 0.9401289224624634)], [[[225.0, 846.0], [508.0, 833.0], [510.0, 864.0], [227.0, 878.0]], ('Have a wonderfu1 day', 0.9271770715713501)]]	{"store_name": "WelcometoChick-fil-A", "store_addr": "SaxonBoulevardFSU(#01125) OrangeCity,FL", "telephone": "(386)774-8625", "date": "5/6/2016", "time": "10:43:03AM", "subtotal": "$6.25", "tax": "$0.41", "total": "$6.66", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Meal-SpcySand", "item_value": "6.25", "item_quantity": "1"}, {"item_key": "", "item_name": "SpcySand", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FriesMD", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SwtTeaMD", "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	[[[[96.0, 70.0], [214.0, 70.0], [214.0, 83.0], [96.0, 83.0]], ('Char lotte P1ke FSU #02886', 0.8587372899055481)], [[[109.0, 61.0], [206.0, 61.0], [206.0, 74.0], [109.0, 74.0]], ('Welcoe to Chick-f11-A', 0.7994856834411621)], [[[127.0, 81.0], [185.0, 81.0], [185.0, 91.0], [127.0, 91.0]], ('Nashville,IN', 0.785315990447998)], [[[112.0, 99.0], [204.0, 99.0], [204.0, 112.0], [112.0, 112.0]], ('Operator:will Sims', 0.7779698967933655)], [[[128.0, 90.0], [187.0, 90.0], [187.0, 101.0], [128.0, 101.0]], ('615-352-1222', 0.9589541554450989)], [[[112.0, 139.0], [208.0, 138.0], [208.0, 152.0], [112.0, 153.0]], ('10/10/2017810:58PM', 0.9258019328117371)], [[[125.0, 130.0], [187.0, 130.0], [187.0, 141.0], [125.0, 141.0]], ('CUSTOMER COPY', 0.9472671747207642)], [[[138.0, 151.0], [173.0, 151.0], [173.0, 162.0], [138.0, 162.0]], ('DINE IN', 0.9620479941368103)], [[[67.0, 161.0], [130.0, 161.0], [130.0, 172.0], [67.0, 172.0]], ('Order Number', 0.9388406276702881)], [[[138.0, 162.0], [173.0, 162.0], [173.0, 173.0], [138.0, 173.0]], ('4239613', 0.9727271795272827)], [[[67.0, 181.0], [143.0, 181.0], [143.0, 194.0], [67.0, 194.0]], ('1Meal-SpcySand', 0.8694697618484497)], [[[226.0, 181.0], [248.0, 181.0], [248.0, 193.0], [226.0, 193.0]], ('6.25', 0.992817759513855)], [[[88.0, 193.0], [134.0, 193.0], [134.0, 204.0], [88.0, 204.0]], ('Spcy Sand', 0.9163589477539062)], [[[88.0, 202.0], [132.0, 202.0], [132.0, 216.0], [88.0, 216.0]], ('Fries M', 0.7862963676452637)], [[[101.0, 213.0], [152.0, 211.0], [153.0, 225.0], [101.0, 227.0]], ('Swt Tea LG', 0.9042390584945679)], [[[227.0, 212.0], [251.0, 212.0], [251.0, 224.0], [227.0, 224.0]], ('0.30', 0.9725154638290405)], [[[79.0, 234.0], [134.0, 234.0], [134.0, 248.0], [79.0, 248.0]], ('Sub.Total', 0.9382941126823425)], [[[223.0, 232.0], [252.0, 232.0], [252.0, 246.0], [223.0, 246.0]], ('$6.55', 0.8674559593200684)], [[[80.0, 247.0], [102.0, 247.0], [102.0, 259.0], [80.0, 259.0]], ('Tax:', 0.966645359992981)], [[[224.0, 242.0], [252.0, 245.0], [251.0, 260.0], [222.0, 257.0]], ('190$', 0.7715691924095154)], [[[80.0, 258.0], [110.0, 258.0], [110.0, 269.0], [80.0, 269.0]], ('Total:', 0.9787726998329163)], [[[224.0, 255.0], [253.0, 255.0], [253.0, 269.0], [224.0, 269.0]], ('$7.16', 0.9789432287216187)], [[[77.0, 278.0], [113.0, 281.0], [112.0, 295.0], [76.0, 292.0]], ('Change', 0.9952606558799744)], [[[227.0, 278.0], [254.0, 278.0], [254.0, 291.0], [227.0, 291.0]], ('$0.00', 0.9951633214950562)], [[[77.0, 289.0], [108.0, 292.0], [107.0, 306.0], [75.0, 303.0]], ('Visa:', 0.9553826451301575)], [[[223.0, 288.0], [254.0, 288.0], [254.0, 302.0], [223.0, 302.0]], ('$7.16', 0.9802559614181519)], [[[64.0, 303.0], [115.0, 303.0], [115.0, 314.0], [64.0, 314.0]], ('Register:5', 0.9789222478866577)], [[[156.0, 301.0], [253.0, 299.0], [254.0, 312.0], [157.0, 315.0]], ('Tran Seq No4239613', 0.9499082565307617)], [[[62.0, 313.0], [139.0, 312.0], [139.0, 326.0], [63.0, 328.0]], ('Cashfer:Anayeli', 0.906628429889679)], [[[86.0, 324.0], [229.0, 323.0], [230.0, 337.0], [86.0, 339.0]], ('It was a pleasure serving you!', 0.9365016222000122)], [[[104.0, 335.0], [206.0, 335.0], [206.0, 349.0], [104.0, 349.0]], ('Have a wonderful day.', 0.9298423528671265)], [[[66.0, 349.0], [249.0, 345.0], [249.0, 360.0], [66.0, 363.0]], ('Follow Us On Insta-@cfacharlottepike', 0.9138340353965759)], [[[72.0, 360.0], [241.0, 358.0], [241.0, 372.0], [72.0, 374.0]], ('facebook.com/chickfi lacharlottepike', 0.9530946016311646)], [[[66.0, 372.0], [240.0, 370.0], [240.0, 384.0], [66.0, 386.0]], ('Help us reach 6k likes on facebook', 0.9209012389183044)], [[[58.0, 409.0], [196.0, 404.0], [197.0, 420.0], [59.0, 425.0]], ('Cardxx4804', 0.7620571255683899)], [[[61.0, 400.0], [84.0, 400.0], [84.0, 411.0], [61.0, 411.0]], ('Visa', 0.9804355502128601)], [[[58.0, 421.0], [182.0, 416.0], [183.0, 433.0], [59.0, 438.0]], ('TerminaKA47948318005', 0.9542239308357239)], [[[58.0, 436.0], [146.0, 430.0], [147.0, 444.0], [59.0, 449.0]], ('Approva1211058', 0.9499629735946655)]]	{"store_name": "WelcometoChick-fil-A", "store_addr": "Nashville,TN CharlottePikeFSU(#02886)", "telephone": "615-352-1222", "date": "10/10/2017", "time": "8:10:58PM", "subtotal": "$6.55", "tax": "$0.61", "total": "$7.16 $7.16", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SwtTeaLG", "item_value": "0.30", "item_quantity": "1"}, {"item_key": "", "item_name": "FriesMD", "item_value": "6.25", "item_quantity": "1"}, {"item_key": "", "item_name": "SpcySand", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Meal-SpcySand", "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	[[[[376.0, 96.0], [784.0, 109.0], [783.0, 144.0], [375.0, 131.0]], ('Welcome to Chick-fi1-A', 0.9365550875663757)], [[[370.0, 170.0], [766.0, 179.0], [765.0, 217.0], [370.0, 208.0]], ('Mt.Pleasant #00854)', 0.9284308552742004)], [[[449.0, 213.0], [713.0, 217.0], [712.0, 252.0], [448.0, 248.0]], ('843881-6811', 0.988685667514801)], [[[368.0, 257.0], [774.0, 257.0], [774.0, 297.0], [368.0, 297.0]], ('Operator: Josh Malone', 0.9576485753059387)], [[[438.0, 389.0], [700.0, 383.0], [701.0, 421.0], [439.0, 427.0]], ('CUSTOMER COPY', 0.9730720520019531)], [[[419.0, 434.0], [801.0, 426.0], [801.0, 466.0], [420.0, 474.0]], ('7/9/20107:20:58PM', 0.9474514126777649)], [[[515.0, 477.0], [644.0, 477.0], [644.0, 518.0], [515.0, 518.0]], ('EAT IN', 0.9746595025062561)], [[[170.0, 525.0], [436.0, 521.0], [437.0, 563.0], [171.0, 567.0]], ('Order Number:', 0.948600172996521)], [[[494.0, 523.0], [622.0, 523.0], [622.0, 565.0], [494.0, 565.0]], ('964660', 0.9977385401725769)], [[[215.0, 611.0], [452.0, 617.0], [451.0, 659.0], [214.0, 653.0]], ('Mea1-CGSand', 0.9736673831939697)], [[[910.0, 615.0], [1001.0, 615.0], [1001.0, 660.0], [910.0, 660.0]], ('4.64', 0.993135929107666)], [[[164.0, 625.0], [188.0, 625.0], [188.0, 652.0], [164.0, 652.0]], ('1', 0.9850950241088867)], [[[157.0, 670.0], [181.0, 670.0], [181.0, 698.0], [157.0, 698.0]], ('1', 0.9895708560943604)], [[[210.0, 661.0], [430.0, 665.0], [429.0, 705.0], [209.0, 701.0]], ('Promo Free', 0.9646662473678589)], [[[873.0, 663.0], [1001.0, 663.0], [1001.0, 712.0], [873.0, 712.0]], ('1.59)', 0.9310410618782043)], [[[153.0, 718.0], [174.0, 718.0], [174.0, 745.0], [153.0, 745.0]], ('1', 0.98971027135849)], [[[204.0, 710.0], [426.0, 715.0], [425.0, 755.0], [202.0, 750.0]], ('Promo Free', 0.9591131210327148)], [[[878.0, 717.0], [1006.0, 717.0], [1006.0, 762.0], [878.0, 762.0]], ('4.64)', 0.8970017433166504)], [[[147.0, 765.0], [167.0, 765.0], [167.0, 793.0], [147.0, 793.0]], ('1', 0.9909695982933044)], [[[198.0, 758.0], [443.0, 764.0], [443.0, 805.0], [197.0, 800.0]], ('Dt Lmnde MD', 0.9357551336288452)], [[[920.0, 763.0], [1011.0, 763.0], [1011.0, 808.0], [920.0, 808.0]], ('1.59', 0.9946130514144897)], [[[192.0, 858.0], [438.0, 864.0], [437.0, 909.0], [191.0, 903.0]], ('Sub.Total:', 0.9124611616134644)], [[[907.0, 863.0], [1023.0, 863.0], [1023.0, 907.0], [907.0, 907.0]], ('$0.00', 0.9205697774887085)], [[[185.0, 909.0], [286.0, 916.0], [282.0, 966.0], [181.0, 959.0]], ('Tax:', 0.9827077984809875)], [[[908.0, 914.0], [1030.0, 909.0], [1032.0, 956.0], [910.0, 961.0]], ('$0.00', 0.9968514442443848)], [[[184.0, 968.0], [320.0, 968.0], [320.0, 1015.0], [184.0, 1015.0]], ('Total:', 0.9822745323181152)], [[[913.0, 966.0], [1036.0, 959.0], [1039.0, 1008.0], [916.0, 1014.0]], ('$0.00', 0.9979597330093384)], [[[177.0, 1025.0], [522.0, 1025.0], [522.0, 1072.0], [177.0, 1072.0]], ('Discount Total:', 0.9569726586341858)], [[[877.0, 1021.0], [1042.0, 1014.0], [1044.0, 1063.0], [879.0, 1069.0]], ('$6.23', 0.990460216999054)], [[[160.0, 1133.0], [309.0, 1139.0], [307.0, 1194.0], [158.0, 1188.0]], ('Change', 0.9974119067192078)], [[[930.0, 1129.0], [1062.0, 1124.0], [1064.0, 1178.0], [932.0, 1182.0]], ('$0.00', 0.9973967671394348)], [[[156.0, 1195.0], [445.0, 1199.0], [444.0, 1250.0], [155.0, 1246.0]], ('Exact Do11ar', 0.8954873085021973)], [[[935.0, 1191.0], [1067.0, 1186.0], [1069.0, 1239.0], [937.0, 1244.0]], ('$0.00', 0.9983327984809875)], [[[84.0, 1260.0], [324.0, 1260.0], [324.0, 1312.0], [84.0, 1312.0]], ('Register:6', 0.9843965768814087)], [[[567.0, 1260.0], [934.0, 1257.0], [934.0, 1308.0], [568.0, 1312.0]], ('Tran Seq No:', 0.9141619801521301)], [[[908.0, 1256.0], [1072.0, 1249.0], [1074.0, 1303.0], [910.0, 1309.0]], ('964660', 0.9974887371063232)], [[[79.0, 1325.0], [564.0, 1328.0], [564.0, 1373.0], [78.0, 1370.0]], ('Cashier:John Denniso', 0.9457302093505859)], [[[170.0, 1387.0], [977.0, 1387.0], [977.0, 1443.0], [170.0, 1443.0]], ('It was our pleasure serving you!', 0.9475909471511841)], [[[285.0, 1457.0], [822.0, 1460.0], [821.0, 1512.0], [285.0, 1508.0]], ('Have a wonderful day.', 0.937231719493866)]]	{"store_name": "WelcometoChick-fil-A", "store_addr": "", "telephone": "(843)881-6811", "date": "7/9/2010", "time": "7:20:58PM", "subtotal": "$0.00", "tax": "$0.00", "total": "$0.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Meal-CGSand", "item_value": "4.64", "item_quantity": "1"}, {"item_key": "", "item_name": "DtLmndeMD", "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	[[[[218.0, 20.0], [296.0, 33.0], [293.0, 53.0], [215.0, 40.0]], ('FISH', 0.994657039642334)], [[[181.0, 33.0], [330.0, 59.0], [327.0, 77.0], [178.0, 51.0]], ('280 Bleecker St.', 0.9188530445098877)], [[[160.0, 50.0], [341.0, 79.0], [338.0, 100.0], [157.0, 71.0]], ('New YorkNY 10014', 0.9039125442504883)], [[[159.0, 73.0], [349.0, 102.0], [346.0, 123.0], [156.0, 94.0]], ('Tel212727-2879', 0.9721270203590393)], [[[55.0, 105.0], [166.0, 120.0], [163.0, 144.0], [52.0, 129.0]], ('9 Elizabet', 0.9394105672836304)], [[[41.0, 152.0], [122.0, 163.0], [118.0, 189.0], [37.0, 178.0]], ('Tb12/1', 0.9685319066047668)], [[[212.0, 174.0], [294.0, 183.0], [292.0, 205.0], [209.0, 196.0]], ('Chk2334', 0.9942825436592102)], [[[171.0, 194.0], [332.0, 211.0], [330.0, 232.0], [169.0, 215.0]], ("Ju103'1202:34PM", 0.9417973756790161)], [[[380.0, 193.0], [440.0, 201.0], [437.0, 223.0], [377.0, 215.0]], ('Gst1', 0.9859590530395508)], [[[55.0, 232.0], [212.0, 245.0], [210.0, 269.0], [53.0, 256.0]], ('1 Crab Special', 0.9355172514915466)], [[[50.0, 259.0], [169.0, 267.0], [167.0, 290.0], [48.0, 282.0]], ('1$2.5PBR', 0.9894626140594482)], [[[368.0, 257.0], [420.0, 260.0], [419.0, 283.0], [367.0, 280.0]], ('21.95', 0.9963714480400085)], [[[48.0, 286.0], [177.0, 292.0], [176.0, 316.0], [47.0, 310.0]], ('1$4 Stella', 0.9187529683113098)], [[[379.0, 281.0], [424.0, 283.0], [423.0, 306.0], [378.0, 304.0]], ('2.50', 0.9952065348625183)], [[[384.0, 303.0], [428.0, 308.0], [425.0, 331.0], [381.0, 326.0]], ('4.00', 0.9963746070861816)], [[[64.0, 337.0], [121.0, 342.0], [118.0, 372.0], [61.0, 367.0]], ('food', 0.9986181855201721)], [[[378.0, 353.0], [434.0, 355.0], [433.0, 381.0], [377.0, 379.0]], ('21.95', 0.995386004447937)], [[[62.0, 368.0], [140.0, 373.0], [138.0, 403.0], [60.0, 398.0]], ('1iquor', 0.9220413565635681)], [[[390.0, 379.0], [438.0, 381.0], [437.0, 407.0], [389.0, 405.0]], ('6.50', 0.9938229918479919)], [[[59.0, 398.0], [102.0, 404.0], [98.0, 432.0], [55.0, 426.0]], ('Tax', 0.9949209094047546)], [[[394.0, 407.0], [441.0, 407.0], [441.0, 434.0], [394.0, 434.0]], ('2.53', 0.9918102622032166)], [[[3.0, 431.0], [218.0, 434.0], [218.0, 461.0], [3.0, 458.0]], ('04:02PM Tota1 Due', 0.9056136012077332)], [[[335.0, 437.0], [441.0, 437.0], [441.0, 461.0], [335.0, 461.0]], ('30.98', 0.9961735606193542)], [[[46.0, 499.0], [440.0, 497.0], [440.0, 524.0], [46.0, 526.0]], ('Please be advised: unless noted', 0.941946268081665)], [[[42.0, 538.0], [433.0, 529.0], [433.0, 556.0], [42.0, 565.0]], ('above,gratuity is NOT included', 0.9240334630012512)], [[[40.0, 574.0], [413.0, 563.0], [414.0, 593.0], [41.0, 604.0]], ('Thank you for dining with us!', 0.9466137886047363)]]	{"store_name": "FISH", "store_addr": "280BleeckerSt. NewYork,NY10014", "telephone": "(212)727-2879", "date": "Jul03'12", "time": "02:34PM 04:02PM", "subtotal": "", "tax": "2.53", "total": "30.98", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CrabSpecial", "item_value": "21.95", "item_quantity": "1"}, {"item_key": "", "item_name": "$2.5PBR", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "$4Stella", "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	[[[[218.0, 20.0], [296.0, 33.0], [293.0, 53.0], [215.0, 40.0]], ('FISH', 0.9946430325508118)], [[[180.0, 33.0], [330.0, 59.0], [327.0, 78.0], [177.0, 52.0]], ('280 Bleecker St.', 0.9209213256835938)], [[[160.0, 51.0], [341.0, 80.0], [338.0, 100.0], [157.0, 71.0]], ('New York,NY 10014', 0.8984341025352478)], [[[159.0, 73.0], [349.0, 103.0], [346.0, 124.0], [156.0, 94.0]], ('Tel212727-2879', 0.9575552344322205)], [[[55.0, 105.0], [166.0, 120.0], [163.0, 144.0], [52.0, 129.0]], ('9Elizabet', 0.9777206778526306)], [[[40.0, 153.0], [121.0, 163.0], [118.0, 188.0], [37.0, 178.0]], ('Tb12/1', 0.9702601432800293)], [[[213.0, 174.0], [294.0, 183.0], [292.0, 205.0], [210.0, 196.0]], ('Chk2334', 0.9953716397285461)], [[[171.0, 194.0], [332.0, 211.0], [330.0, 232.0], [169.0, 215.0]], ("Ju103'1202:34PM", 0.9412325024604797)], [[[380.0, 192.0], [441.0, 199.0], [438.0, 224.0], [377.0, 217.0]], ('Gst1', 0.9644160270690918)], [[[55.0, 232.0], [211.0, 245.0], [209.0, 268.0], [53.0, 255.0]], ('1 Crab Special', 0.9281679391860962)], [[[51.0, 259.0], [169.0, 267.0], [167.0, 290.0], [49.0, 282.0]], ('1$2.5PBR', 0.9859144687652588)], [[[368.0, 257.0], [420.0, 260.0], [419.0, 283.0], [367.0, 280.0]], ('21.95', 0.9963911175727844)], [[[48.0, 286.0], [177.0, 292.0], [176.0, 316.0], [47.0, 310.0]], ('1$4 Stella', 0.8906378746032715)], [[[379.0, 281.0], [424.0, 283.0], [423.0, 306.0], [378.0, 304.0]], ('2.50', 0.996145486831665)], [[[384.0, 303.0], [428.0, 308.0], [425.0, 331.0], [381.0, 326.0]], ('4.00', 0.9963013529777527)], [[[64.0, 337.0], [121.0, 342.0], [118.0, 372.0], [61.0, 367.0]], ('food', 0.9985682964324951)], [[[378.0, 353.0], [434.0, 355.0], [433.0, 380.0], [377.0, 378.0]], ('21.95', 0.9948870539665222)], [[[63.0, 368.0], [140.0, 374.0], [137.0, 403.0], [60.0, 397.0]], ('liquor', 0.9547542929649353)], [[[390.0, 379.0], [438.0, 381.0], [437.0, 407.0], [389.0, 405.0]], ('6.50', 0.9943571090698242)], [[[58.0, 398.0], [102.0, 403.0], [99.0, 432.0], [55.0, 427.0]], ('Tax', 0.9955639839172363)], [[[394.0, 407.0], [441.0, 407.0], [441.0, 434.0], [394.0, 434.0]], ('2.53', 0.9923200607299805)], [[[3.0, 431.0], [218.0, 434.0], [218.0, 461.0], [3.0, 458.0]], ('04:02PM Tota1 Due', 0.8975338935852051)], [[[335.0, 437.0], [441.0, 437.0], [441.0, 461.0], [335.0, 461.0]], ('30.98', 0.9930795431137085)], [[[46.0, 499.0], [440.0, 497.0], [440.0, 524.0], [46.0, 526.0]], ('Please be advised: unless noted', 0.9427664875984192)], [[[42.0, 538.0], [433.0, 529.0], [433.0, 557.0], [42.0, 566.0]], ('above,gratuity is NOT included', 0.9354219436645508)], [[[40.0, 574.0], [414.0, 563.0], [415.0, 593.0], [41.0, 604.0]], ('Thank you for dining with us!', 0.9442684054374695)]]	{"store_name": "FISH", "store_addr": "280BleeckerSt. NewYork,NY10014", "telephone": "(212)727-2879", "date": "Jul03'12", "time": "04:02PM", "subtotal": "", "tax": "2.53", "total": "30.98 TotalDue", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Stella", "item_value": "21.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CrabSpecial", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "$2.5PBR", "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	[[[[164.0, 117.0], [350.0, 115.0], [350.0, 148.0], [165.0, 151.0]], ('KOHLS', 0.9702656865119934)], [[[209.0, 195.0], [272.0, 195.0], [272.0, 213.0], [209.0, 213.0]], ('Layton', 0.9971469044685364)], [[[172.0, 216.0], [327.0, 211.0], [327.0, 229.0], [172.0, 234.0]], ('LaytonUT 84041', 0.9644184708595276)], [[[175.0, 233.0], [309.0, 231.0], [309.0, 250.0], [175.0, 251.0]], ('801497-0698', 0.9940523505210876)], [[[50.0, 272.0], [184.0, 270.0], [184.0, 288.0], [50.0, 290.0]], ('09-19-095:59P', 0.9619505405426025)], [[[221.0, 269.0], [452.0, 267.0], [452.0, 285.0], [221.0, 287.0]], ('0778/0004/0324/91516XXX', 0.9716209173202515)], [[[51.0, 291.0], [405.0, 286.0], [405.0, 304.0], [51.0, 309.0]], ('ID# 999-9080-9082-4054-9221-9596-7568', 0.9760501980781555)], [[[52.0, 346.0], [351.0, 342.0], [351.0, 360.0], [52.0, 364.0]], ('TODD GRLS APPAR 400898406210 C', 0.9265724420547485)], [[[383.0, 340.0], [453.0, 340.0], [453.0, 359.0], [383.0, 359.0]], ('2.40T1', 0.9807661175727844)], [[[70.0, 365.0], [219.0, 363.0], [219.0, 381.0], [70.0, 383.0]], ('ItemPrice 12.00', 0.9473477005958557)], [[[247.0, 362.0], [368.0, 360.0], [368.0, 380.0], [247.0, 381.0]], ('YouSave 9.60', 0.9539527893066406)], [[[53.0, 384.0], [350.0, 380.0], [350.0, 398.0], [53.0, 402.0]], ('TODDLERAPPAREL716042767626C', 0.9758936762809753)], [[[383.0, 377.0], [454.0, 377.0], [454.0, 399.0], [383.0, 399.0]], ('2.40T1', 0.9799258708953857)], [[[72.0, 402.0], [219.0, 400.0], [219.0, 418.0], [72.0, 420.0]], ('ItemPrice 12.00', 0.9595847725868225)], [[[250.0, 399.0], [369.0, 398.0], [369.0, 416.0], [250.0, 417.0]], ('YouSave9.60', 0.9729362726211548)], [[[52.0, 421.0], [352.0, 416.0], [352.0, 435.0], [52.0, 441.0]], ('INFANT APPAREL400898294589C', 0.9754347801208496)], [[[385.0, 416.0], [455.0, 416.0], [455.0, 435.0], [385.0, 435.0]], ('2.00T1', 0.948098361492157)], [[[72.0, 441.0], [218.0, 438.0], [218.0, 456.0], [72.0, 459.0]], ('ItemPrice 10.00', 0.9579703211784363)], [[[251.0, 436.0], [369.0, 435.0], [369.0, 454.0], [251.0, 456.0]], ('YouSave 8.00', 0.9407404065132141)], [[[53.0, 460.0], [353.0, 454.0], [353.0, 472.0], [53.0, 478.0]], ('INFANT APPAREL400898294756C', 0.9705110192298889)], [[[385.0, 454.0], [455.0, 454.0], [455.0, 473.0], [385.0, 473.0]], ('2.00T1', 0.9864229559898376)], [[[72.0, 478.0], [218.0, 476.0], [218.0, 494.0], [72.0, 496.0]], ('ItemPrice 10.00', 0.9697394967079163)], [[[251.0, 475.0], [370.0, 474.0], [370.0, 492.0], [251.0, 493.0]], ('YouSave 8.00', 0.947275698184967)], [[[54.0, 496.0], [352.0, 492.0], [352.0, 510.0], [54.0, 514.0]], ('TODD GRLS APPAR 400898319824 C', 0.928176760673523)], [[[386.0, 492.0], [456.0, 492.0], [456.0, 511.0], [386.0, 511.0]], ('2.40T1', 0.9762341380119324)], [[[72.0, 515.0], [218.0, 513.0], [218.0, 531.0], [72.0, 533.0]], ('ItemPrice 12.00', 0.9655168652534485)], [[[251.0, 512.0], [371.0, 510.0], [371.0, 529.0], [251.0, 531.0]], ('YouSave 9.60', 0.9513704776763916)], [[[255.0, 548.0], [330.0, 548.0], [330.0, 567.0], [255.0, 567.0]], ('SUBTOTAL', 0.9940537214279175)], [[[378.0, 547.0], [429.0, 547.0], [429.0, 566.0], [378.0, 566.0]], ('11.20', 0.9974027872085571)], [[[62.0, 571.0], [96.0, 571.0], [96.0, 591.0], [62.0, 591.0]], ('T1=', 0.9662750363349915)], [[[131.0, 570.0], [203.0, 570.0], [203.0, 589.0], [131.0, 589.0]], ('11.20', 0.9968668222427368)], [[[216.0, 570.0], [258.0, 570.0], [258.0, 586.0], [216.0, 586.0]], ('6.5%', 0.8791781663894653)], [[[385.0, 566.0], [429.0, 566.0], [429.0, 586.0], [385.0, 586.0]], ('0.73', 0.9959734678268433)], [[[282.0, 586.0], [338.0, 586.0], [338.0, 623.0], [282.0, 623.0]], ('TOTAL', 0.9235744476318359)], [[[365.0, 586.0], [431.0, 583.0], [433.0, 620.0], [367.0, 623.0]], ('$11.93', 0.9906375408172607)], [[[56.0, 662.0], [99.0, 662.0], [99.0, 683.0], [56.0, 683.0]], ('AMEX', 0.9964582920074463)], [[[378.0, 659.0], [431.0, 659.0], [431.0, 678.0], [378.0, 678.0]], ('11.93', 0.9956786036491394)], [[[64.0, 683.0], [144.0, 680.0], [145.0, 700.0], [65.0, 702.0]], ('APPROVED', 0.9960269331932068)], [[[226.0, 681.0], [288.0, 681.0], [288.0, 699.0], [226.0, 699.0]], ('504300', 0.6645473837852478)], [[[144.0, 719.0], [259.0, 719.0], [259.0, 752.0], [144.0, 752.0]], ('TOTAL SAVED:', 0.9400477409362793)], [[[292.0, 715.0], [358.0, 715.0], [358.0, 752.0], [292.0, 752.0]], ('$44.80', 0.9940304756164551)], [[[117.0, 812.0], [423.0, 807.0], [423.0, 826.0], [117.0, 830.0]], ("THANK YOU FOR SHOPPING AT KOHL'S", 0.9318814277648926)], [[[88.0, 944.0], [460.0, 940.0], [460.0, 958.0], [89.0, 962.0]], ('NOW HIRING PART TIME SEASONAL POSITIONS', 0.94940584897995)], [[[145.0, 962.0], [396.0, 960.0], [396.0, 978.0], [145.0, 980.0]], ('FOR EARLY MORNING STOCKING', 0.9502778649330139)], [[[88.0, 984.0], [448.0, 978.0], [448.0, 996.0], [89.0, 1002.0]], ('EXTRA ASSOCIATE MERCHANDISE DISCOUNTS.', 0.9548267722129822)]]	{"store_name": "KOHL'S", "store_addr": "Layton Layton,UT84041", "telephone": "(801)497-0698", "date": "09-19-09", "time": "5:59P", "subtotal": "11.20", "tax": "0.73", "total": "$11.93 11.93", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TODDGRLSAPPAR", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "", "item_name": "TODDLERAPPAREL", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "", "item_name": "INFANTAPPAREL", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "INFANTAPPAREL", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TODDGRLSAPPAR", "item_value": "2.40", "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	[[[[149.0, 49.0], [306.0, 43.0], [307.0, 74.0], [150.0, 80.0]], ('KOHLS', 0.9871465563774109)], [[[195.0, 100.0], [249.0, 100.0], [249.0, 114.0], [195.0, 114.0]], ('Rockwall', 0.8647655248641968)], [[[176.0, 122.0], [267.0, 118.0], [268.0, 135.0], [177.0, 139.0]], ('0769-2246)', 0.5758055448532104)], [[[94.0, 145.0], [186.0, 145.0], [186.0, 159.0], [94.0, 159.0]], ('07-24-114.58P', 0.8950325846672058)], [[[198.0, 144.0], [353.0, 131.0], [355.0, 148.0], [200.0, 161.0]], ('0370/0001/2516/01789XX', 0.932686984539032)], [[[90.0, 214.0], [152.0, 214.0], [152.0, 225.0], [90.0, 225.0]], ('88-20TOP', 0.8942367434501648)], [[[183.0, 212.0], [296.0, 211.0], [296.0, 225.0], [183.0, 226.0]], ('789138077879C', 0.9680740833282471)], [[[298.0, 208.0], [355.0, 201.0], [357.0, 216.0], [300.0, 223.0]], ('6.40', 0.9855446219444275)], [[[95.0, 222.0], [313.0, 220.0], [313.0, 237.0], [95.0, 239.0]], ('ItemPrice 32.00 YouSave 25.60', 0.8885388970375061)], [[[89.0, 237.0], [150.0, 237.0], [150.0, 248.0], [89.0, 248.0]], ('B8-20TOP', 0.8700730204582214)], [[[187.0, 236.0], [292.0, 235.0], [292.0, 246.0], [187.0, 247.0]], ('789138400127C', 0.9825429320335388)], [[[300.0, 232.0], [358.0, 228.0], [359.0, 242.0], [301.0, 246.0]], ('6.40T1', 0.8587743639945984)], [[[93.0, 272.0], [204.0, 271.0], [204.0, 282.0], [93.0, 283.0]], ('ItemPr1ce 34.00', 0.8814558386802673)], [[[218.0, 270.0], [309.0, 267.0], [309.0, 281.0], [218.0, 284.0]], ('YouSave 23.80', 0.9419049620628357)], [[[83.0, 281.0], [315.0, 279.0], [315.0, 293.0], [83.0, 295.0]], ('B8-20B0TT0MS039304590221C', 0.9340114593505859)], [[[310.0, 278.0], [360.0, 275.0], [361.0, 289.0], [311.0, 292.0]], ('5.991', 0.9817126989364624)], [[[95.0, 293.0], [201.0, 292.0], [201.0, 306.0], [95.0, 307.0]], ('ItemPrice 29.99', 0.9316796660423279)], [[[208.0, 293.0], [310.0, 292.0], [310.0, 303.0], [208.0, 304.0]], ('YouSave.24.00', 0.8915444612503052)], [[[82.0, 305.0], [146.0, 303.0], [146.0, 317.0], [82.0, 319.0]], ('B8-20TOP', 0.9649850130081177)], [[[178.0, 303.0], [362.0, 299.0], [362.0, 316.0], [178.0, 320.0]], ('789139126385C12.8011', 0.9682944416999817)], [[[94.0, 318.0], [198.0, 317.0], [198.0, 331.0], [94.0, 332.0]], ('IfemPrice 32.00', 0.8828182220458984)], [[[213.0, 317.0], [311.0, 316.0], [311.0, 330.0], [213.0, 331.0]], ('YouSave 19.20', 0.9624531269073486)], [[[81.0, 333.0], [148.0, 331.0], [148.0, 344.0], [81.0, 346.0]], ('B8-20 TOP', 0.8572797179222107)], [[[184.0, 330.0], [295.0, 330.0], [295.0, 344.0], [184.0, 344.0]], ('789138400301 C', 0.9548049569129944)], [[[312.0, 329.0], [363.0, 326.0], [364.0, 340.0], [313.0, 343.0]], ('6.4011', 0.9047120213508606)], [[[91.0, 345.0], [197.0, 343.0], [197.0, 357.0], [91.0, 359.0]], ('ItemPrice 32.00', 0.9500773549079895)], [[[218.0, 343.0], [312.0, 340.0], [312.0, 355.0], [218.0, 358.0]], ('YouSave 25.60', 0.9509283304214478)], [[[221.0, 369.0], [276.0, 369.0], [276.0, 383.0], [221.0, 383.0]], ('SUBTOTAL', 0.9958284497261047)], [[[309.0, 367.0], [347.0, 367.0], [347.0, 382.0], [309.0, 382.0]], ('57.39', 0.946053147315979)], [[[75.0, 383.0], [195.0, 383.0], [195.0, 396.0], [75.0, 396.0]], ('20% SPECIAL OFFER', 0.9379439353942871)], [[[309.0, 380.0], [351.0, 380.0], [351.0, 394.0], [309.0, 394.0]], ('11.48', 0.9163222312927246)], [[[80.0, 397.0], [109.0, 397.0], [109.0, 408.0], [80.0, 408.0]], ('T1=', 0.8477855324745178)], [[[128.0, 397.0], [221.0, 395.0], [221.0, 409.0], [128.0, 411.0]], ('45.918.25%', 0.988490879535675)], [[[253.0, 393.0], [278.0, 393.0], [278.0, 409.0], [253.0, 409.0]], ('TAX', 0.996015727519989)], [[[314.0, 391.0], [351.0, 391.0], [351.0, 409.0], [314.0, 409.0]], ('3.79', 0.9899824857711792)], [[[241.0, 408.0], [280.0, 408.0], [280.0, 434.0], [241.0, 434.0]], ('TOTAL', 0.9947744607925415)], [[[302.0, 406.0], [352.0, 406.0], [352.0, 432.0], [302.0, 432.0]], ('$49.70', 0.9947741627693176)], [[[65.0, 460.0], [140.0, 460.0], [140.0, 474.0], [65.0, 474.0]], ('VISA DEBIT', 0.9462602734565735)], [[[166.0, 461.0], [284.0, 461.0], [284.0, 474.0], [166.0, 474.0]], ('XXXXXXXXXXXX1428', 0.8920899629592896)], [[[312.0, 458.0], [353.0, 456.0], [354.0, 474.0], [313.0, 476.0]], ('49.70', 0.9929317235946655)], [[[67.0, 473.0], [278.0, 475.0], [278.0, 489.0], [67.0, 487.0]], ('PAYMENT FROM PRIMARY ACCOUNT', 0.951485276222229)], [[[65.0, 486.0], [130.0, 488.0], [130.0, 505.0], [65.0, 503.0]], ('APPROVED', 0.9962186813354492)], [[[194.0, 490.0], [241.0, 490.0], [241.0, 504.0], [194.0, 504.0]], ('000000', 0.9916813969612122)], [[[124.0, 518.0], [218.0, 518.0], [218.0, 547.0], [124.0, 547.0]], ('TOTAL SAVED:', 0.9386385083198547)], [[[234.0, 520.0], [297.0, 520.0], [297.0, 549.0], [234.0, 549.0]], ('$192.08', 0.9951590299606323)], [[[99.0, 598.0], [351.0, 598.0], [351.0, 612.0], [99.0, 612.0]], ("THANK YOU FOR SHOPPING AT KOHL'S", 0.9271446466445923)]]	{"store_name": "KOHL'S", "store_addr": "Rockwall rockwall.TX75087", "telephone": "(972)772-5920", "date": "07-24-11", "time": "4:58p", "subtotal": "57.39", "tax": "3.79", "total": "$49.70 49.70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BOYS8-20LNGBT", "item_value": "9.20", "item_quantity": "1"}, {"item_key": "", "item_name": "B8-20TOP", "item_value": "6.40", "item_quantity": "1"}, {"item_key": "", "item_name": "B8-20TOP", "item_value": "6.40", "item_quantity": "1"}, {"item_key": "", "item_name": "BOYS8-20LNGBT", "item_value": "10.20", "item_quantity": "1"}, {"item_key": "", "item_name": "B8-20BOTTOMS", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "B8-20TOP", "item_value": "12.80", "item_quantity": "1"}, {"item_key": "", "item_name": "B8-20TOP", "item_value": "6.40", "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	[[[[214.0, 52.0], [356.0, 54.0], [356.0, 86.0], [214.0, 84.0]], ('Walmart', 0.9933506846427917)], [[[217.0, 85.0], [356.0, 87.0], [356.0, 101.0], [217.0, 99.0]], ('Save money.Live better.', 0.9709215760231018)], [[[247.0, 115.0], [355.0, 120.0], [355.0, 137.0], [246.0, 133.0]], ('9209646300', 0.935810923576355)], [[[249.0, 107.0], [355.0, 111.0], [355.0, 125.0], [248.0, 122.0]], ('MANAGER KERRY FOTH', 0.952046275138855)], [[[192.0, 126.0], [356.0, 131.0], [356.0, 146.0], [191.0, 140.0]], ('ST19820P00005499TE23', 0.9259740114212036)], [[[194.0, 137.0], [213.0, 140.0], [211.0, 152.0], [192.0, 149.0]], ('TRA', 0.9887402653694153)], [[[267.0, 138.0], [339.0, 142.0], [339.0, 156.0], [266.0, 152.0]], ('065356943457', 0.9778268933296204)], [[[350.0, 129.0], [412.0, 131.0], [412.0, 146.0], [350.0, 143.0]], ('8TR#06699', 0.9028041362762451)], [[[214.0, 148.0], [362.0, 152.0], [362.0, 166.0], [214.0, 163.0]], ('UAS 60.00 YOU SAVED 40.00', 0.8814451694488525)], [[[215.0, 140.0], [261.0, 140.0], [261.0, 151.0], [215.0, 151.0]], ('SKYUARP', 0.9304226040840149)], [[[370.0, 142.0], [402.0, 142.0], [402.0, 154.0], [370.0, 154.0]], ('20.00', 0.9913778305053711)], [[[191.0, 159.0], [339.0, 161.0], [339.0, 175.0], [191.0, 173.0]], ('TRA SKYWARP 065356943457', 0.9271026253700256)], [[[212.0, 170.0], [361.0, 172.0], [361.0, 186.0], [212.0, 184.0]], ('WAS 60.00 YOU SAVED 40.00', 0.9131739139556885)], [[[369.0, 162.0], [413.0, 162.0], [413.0, 176.0], [369.0, 176.0]], ('20.00 T', 0.9310228228569031)], [[[192.0, 180.0], [240.0, 182.0], [239.0, 197.0], [191.0, 194.0]], ('BREAKWAY', 0.9926140308380127)], [[[266.0, 180.0], [337.0, 184.0], [337.0, 198.0], [265.0, 194.0]], ('066356940601', 0.986761748790741)], [[[190.0, 190.0], [230.0, 193.0], [229.0, 207.0], [189.0, 205.0]], ('GI JDE', 0.8526368141174316)], [[[368.0, 181.0], [413.0, 184.0], [413.0, 199.0], [368.0, 196.0]], ('10.00X', 0.9067909717559814)], [[[266.0, 191.0], [337.0, 194.0], [337.0, 209.0], [265.0, 207.0]], ('065356940843', 0.9316699504852295)], [[[189.0, 202.0], [264.0, 203.0], [264.0, 217.0], [189.0, 216.0]], ('TRANSFORMERS', 0.9934113025665283)], [[[266.0, 206.0], [336.0, 206.0], [336.0, 217.0], [266.0, 217.0]], ('065356945424', 0.997323215007782)], [[[368.0, 212.0], [414.0, 214.0], [413.0, 233.0], [368.0, 230.0]], ('10.00', 0.9897386431694031)], [[[369.0, 204.0], [402.0, 204.0], [402.0, 219.0], [369.0, 219.0]], ('36.00', 0.9680782556533813)], [[[190.0, 216.0], [256.0, 216.0], [256.0, 227.0], [190.0, 227.0]], ('RX7263876', 0.9892339706420898)], [[[282.0, 215.0], [343.0, 215.0], [343.0, 229.0], [282.0, 229.0]], ('D38 QTY 1H', 0.902454674243927)], [[[401.0, 208.0], [411.0, 208.0], [411.0, 218.0], [401.0, 218.0]], ('X', 0.8086071610450745)], [[[188.0, 232.0], [257.0, 235.0], [256.0, 249.0], [187.0, 247.0]], ('RX7278513', 0.9722180962562561)], [[[282.0, 224.0], [314.0, 227.0], [313.0, 242.0], [281.0, 239.0]], ('-ESI', 0.9412106871604919)], [[[282.0, 234.0], [328.0, 238.0], [327.0, 252.0], [281.0, 248.0]], ('D38QTY', 0.9844791889190674)], [[[326.0, 234.0], [344.0, 238.0], [340.0, 251.0], [323.0, 246.0]], ('1H', 0.9073190689086914)], [[[292.0, 245.0], [315.0, 248.0], [314.0, 260.0], [290.0, 258.0]], ('MED', 0.9965429306030273)], [[[374.0, 238.0], [413.0, 238.0], [413.0, 252.0], [374.0, 252.0]], ('0.000', 0.9709035158157349)], [[[188.0, 254.0], [245.0, 256.0], [244.0, 271.0], [187.0, 268.0]], ('ONE A DAY', 0.897541880607605)], [[[188.0, 265.0], [243.0, 267.0], [242.0, 281.0], [187.0, 278.0]], ('12FTTAPE', 0.9237103462219238)], [[[263.0, 256.0], [338.0, 256.0], [338.0, 273.0], [263.0, 273.0]], ('001650008012', 0.9566681385040283)], [[[373.0, 267.0], [388.0, 267.0], [388.0, 294.0], [373.0, 294.0]], ('NN', 0.5421852469444275)], [[[376.0, 260.0], [384.0, 260.0], [384.0, 271.0], [376.0, 271.0]], ('7', 0.9781332015991211)], [[[386.0, 259.0], [400.0, 259.0], [400.0, 272.0], [386.0, 272.0]], ('47', 0.9883766770362854)], [[[402.0, 261.0], [411.0, 261.0], [411.0, 271.0], [402.0, 271.0]], ('X', 0.8848775029182434)], [[[187.0, 275.0], [241.0, 278.0], [240.0, 292.0], [186.0, 290.0]], ('SV VITC', 0.8253459334373474)], [[[263.0, 278.0], [338.0, 278.0], [338.0, 295.0], [263.0, 295.0]], ('007874243617', 0.9956234097480774)], [[[402.0, 269.0], [412.0, 269.0], [412.0, 285.0], [402.0, 285.0]], ('X', 0.5116031169891357)], [[[187.0, 287.0], [239.0, 289.0], [238.0, 303.0], [186.0, 301.0]], ('EQ FIBER', 0.9454740285873413)], [[[264.0, 288.0], [341.0, 290.0], [341.0, 304.0], [263.0, 302.0]], ('068113169995H', 0.989151656627655)], [[[291.0, 299.0], [341.0, 299.0], [341.0, 315.0], [291.0, 315.0]], ('SUBTOTAL', 0.9792866706848145)], [[[243.0, 311.0], [273.0, 311.0], [273.0, 323.0], [243.0, 323.0]], ('TAX1', 0.9624443650245667)], [[[285.0, 310.0], [333.0, 313.0], [332.0, 327.0], [285.0, 324.0]], ('5.000', 0.9488725662231445)], [[[281.0, 332.0], [343.0, 332.0], [343.0, 346.0], [281.0, 346.0]], ('CHECK TEND', 0.9501456022262573)], [[[310.0, 323.0], [339.0, 323.0], [339.0, 334.0], [310.0, 334.0]], ('TOTAL', 0.9958149790763855)], [[[259.0, 333.0], [286.0, 333.0], [286.0, 344.0], [259.0, 344.0]], ('ECA ', 0.870593786239624)], [[[283.0, 341.0], [321.0, 343.0], [320.0, 356.0], [282.0, 353.0]], ('CHANGE', 0.9980174899101257)], [[[321.0, 343.0], [342.0, 343.0], [342.0, 354.0], [321.0, 354.0]], ('DUE', 0.9925036430358887)], [[[186.0, 364.0], [264.0, 362.0], [264.0, 377.0], [187.0, 378.0]], ('GIFT ITEM(S', 0.920036256313324)], [[[187.0, 375.0], [257.0, 375.0], [257.0, 389.0], [187.0, 389.0]], ('TRA SKYWARP', 0.9428572058677673)], [[[263.0, 374.0], [338.0, 374.0], [338.0, 388.0], [263.0, 388.0]], ('065356943457', 0.941723644733429)], [[[186.0, 386.0], [256.0, 384.0], [257.0, 398.0], [187.0, 401.0]], ('TRA SKYWARP', 0.940697431564331)], [[[263.0, 385.0], [339.0, 385.0], [339.0, 399.0], [263.0, 399.0]], ('065356943457', 0.9816686511039734)], [[[186.0, 409.0], [324.0, 406.0], [325.0, 420.0], [186.0, 422.0]], ('When you pay by check', 0.9018336534500122)]]	{"store_name": "Walmart", "store_addr": "", "telephone": "(920)954-6300", "date": "", "time": "", "subtotal": "124.18", "tax": "5.71", "total": "129.89 129.89", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TRASKYWARP", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TRASKYWARP", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BREAKWAY", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GIJDE", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TRANSFORMERS", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RX#7263876", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RX#7278513", "item_value": "0.000", "item_quantity": "1"}, {"item_key": "", "item_name": "D38QTY1H", "item_value": "7.47", "item_quantity": "1"}, {"item_key": "", "item_name": "ONEADAY", "item_value": "2.88", "item_quantity": "1"}, {"item_key": "", "item_name": "12FTTAPE", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SVVIYC", "item_value": "6.83", "item_quantity": "1"}, {"item_key": "", "item_name": "EQFIBER", "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	[[[[876.0, 672.0], [1811.0, 659.0], [1814.0, 823.0], [878.0, 837.0]], ('KOHLS', 0.9594621658325195)], [[[1031.0, 1004.0], [1615.0, 1004.0], [1615.0, 1058.0], [1031.0, 1058.0]], ('Westridge Square', 0.9602283239364624)], [[[988.0, 1063.0], [1726.0, 1058.0], [1727.0, 1130.0], [988.0, 1134.0]], ('GreensboroNC 27410', 0.9454843997955322)], [[[1065.0, 1138.0], [1576.0, 1138.0], [1576.0, 1197.0], [1065.0, 1197.0]], ('336286-0991', 0.9930922985076904)], [[[558.0, 1277.0], [1116.0, 1268.0], [1117.0, 1340.0], [559.0, 1349.0]], ('11-13-1711:41A', 0.9717836976051331)], [[[1207.0, 1273.0], [2100.0, 1260.0], [2101.0, 1327.0], [1208.0, 1340.0]], ('0302/0027/1911/42312XXX', 0.9850438833236694)], [[[550.0, 1487.0], [1589.0, 1478.0], [1590.0, 1550.0], [550.0, 1558.0]], ('GIRLS7-16 DRESS 885872871558', 0.9557243585586548)], [[[1808.0, 1478.0], [2079.0, 1478.0], [2079.0, 1554.0], [1808.0, 1554.0]], ('33.99-A', 0.9728966951370239)], [[[618.0, 1567.0], [1181.0, 1558.0], [1182.0, 1617.0], [619.0, 1626.0]], ('WITHOUT RECEIPT', 0.9758453965187073)], [[[545.0, 1634.0], [1593.0, 1625.0], [1594.0, 1697.0], [546.0, 1705.0]], ('GIRLS7-16 DRESS 888481966097', 0.9589824676513672)], [[[1813.0, 1625.0], [2088.0, 1625.0], [2088.0, 1701.0], [1813.0, 1701.0]], ('33.99-A', 0.981164276599884)], [[[614.0, 1709.0], [1181.0, 1709.0], [1181.0, 1768.0], [614.0, 1768.0]], ('WITHOUT RECEIPT', 0.97318434715271)], [[[1817.0, 1772.0], [2092.0, 1772.0], [2092.0, 1848.0], [1817.0, 1848.0]], ('33.99-A', 0.9674747586250305)], [[[545.0, 1789.0], [1589.0, 1781.0], [1589.0, 1840.0], [546.0, 1848.0]], ('GIRLS7-16DRESS885872871565', 0.9751455783843994)], [[[610.0, 1857.0], [1180.0, 1848.0], [1182.0, 1919.0], [611.0, 1928.0]], ('WITHOUT RECEIPT', 0.9743513464927673)], [[[1782.0, 1991.0], [2044.0, 1986.0], [2045.0, 2062.0], [1784.0, 2067.0]], ('101.97-', 0.9623128175735474)], [[[1340.0, 2003.0], [1624.0, 2003.0], [1624.0, 2062.0], [1340.0, 2062.0]], ('SUBTOTAL', 0.9956986308097839)], [[[533.0, 2075.0], [1718.0, 2075.0], [1718.0, 2146.0], [533.0, 2146.0]], ('RETURN TAX-PURCHASE STORE302', 0.9546400904655457)], [[[1525.0, 2150.0], [1645.0, 2150.0], [1645.0, 2218.0], [1525.0, 2218.0]], ('TAX', 0.9969491362571716)], [[[1856.0, 2146.0], [2049.0, 2146.0], [2049.0, 2222.0], [1856.0, 2222.0]], ('6.88', 0.9928624629974365)], [[[533.0, 2163.0], [704.0, 2163.0], [704.0, 2222.0], [533.0, 2222.0]], ('A=', 0.9038888812065125)], [[[803.0, 2159.0], [1336.0, 2159.0], [1336.0, 2218.0], [803.0, 2218.0]], ('[email protected]%', 0.9715953469276428)], [[[1452.0, 2226.0], [1649.0, 2226.0], [1649.0, 2302.0], [1452.0, 2302.0]], ('TOTAL', 0.9984469413757324)], [[[1753.0, 2226.0], [2058.0, 2226.0], [2058.0, 2297.0], [1753.0, 2297.0]], ('$108.85', 0.99654620885849)], [[[524.0, 2461.0], [881.0, 2461.0], [881.0, 2537.0], [524.0, 2537.0]], ('CORP RFND', 0.9295008778572083)], [[[1800.0, 2457.0], [2062.0, 2457.0], [2062.0, 2528.0], [1800.0, 2528.0]], ('108.85-', 0.9399881362915039)], [[[765.0, 2701.0], [2010.0, 2701.0], [2010.0, 2772.0], [765.0, 2772.0]], ("THANK YOU FOR SHOPPING AT KOHL'S", 0.9353365898132324)], [[[585.0, 2927.0], [2101.0, 2936.0], [2100.0, 3024.0], [584.0, 3015.0]], ('FURTHER PROCESSING WILL DETERMINE YOUR', 0.9609062671661377)], [[[503.0, 3011.0], [2148.0, 3016.0], [2148.0, 3104.0], [502.0, 3100.0]], ('SPECIFIC REFUND. IF YOU HAVE NOT RECEIVED', 0.9439244866371155)], [[[537.0, 3091.0], [2096.0, 3104.0], [2096.0, 3192.0], [537.0, 3179.0]], ('A RESPONSE TO YOUR REFUND IN 7-10 DAYS,', 0.9166555404663086)], [[[667.0, 3175.0], [1989.0, 3205.0], [1988.0, 3277.0], [665.0, 3246.0]], ('PLEASE CALL CUSTOMER TRANSACTIONS', 0.9679886102676392)], [[[972.0, 3263.0], [1676.0, 3285.0], [1674.0, 3357.0], [970.0, 3334.0]], ('AT 1-800-837-0302', 0.9550390839576721)], [[[758.0, 3519.0], [2222.0, 3571.0], [2219.0, 3655.0], [755.0, 3603.0]], ("We're Hiring for the Holiday Season", 0.9525986909866333)], [[[677.0, 3607.0], [2188.0, 3663.0], [2184.0, 3747.0], [673.0, 3691.0]], ('To learn more about joining our team', 0.9397624135017395)], [[[827.0, 3708.0], [2166.0, 3760.0], [2163.0, 3844.0], [824.0, 3792.0]], ('visit kohlscareers.com/team orn', 0.9634541869163513)], [[[789.0, 3796.0], [1629.0, 3832.0], [1625.0, 3916.0], [785.0, 3880.0]], ('textTEAMto36453', 0.9870814085006714)]]	{"store_name": "KOHL'S", "store_addr": "WestridgeSquare Greensboro,NC27410", "telephone": "(336)286-0991", "date": "11-13-17", "time": "11:41A", "subtotal": "101.97-", "tax": "6.88-", "total": "$108.85- 108.85-", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GIRLS7-16DRESS", "item_value": "33.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GIRLS7-16DRESS", "item_value": "33.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GIRLS7-16DRESS", "item_value": "33.99", "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	[[[[209.0, 49.0], [324.0, 49.0], [324.0, 74.0], [209.0, 74.0]], ('HMSHOST', 0.9953136444091797)], [[[74.0, 83.0], [475.0, 80.0], [475.0, 104.0], [75.0, 107.0]], ('CALIFORNIA PIZZA KITCHEN', 0.9627981185913086)], [[[108.0, 115.0], [440.0, 112.0], [440.0, 137.0], [108.0, 140.0]], ('DAKLAND INTL AIRPORT', 0.9354351162910461)], [[[11.0, 176.0], [255.0, 179.0], [254.0, 205.0], [10.0, 202.0]], ('287724Br1ttney', 0.9541682004928589)], [[[10.0, 242.0], [141.0, 242.0], [141.0, 267.0], [10.0, 267.0]], ('CHK 2900', 0.9367458820343018)], [[[460.0, 236.0], [544.0, 236.0], [544.0, 266.0], [460.0, 266.0]], ('GST 1', 0.9356623888015747)], [[[143.0, 272.0], [276.0, 270.0], [276.0, 296.0], [143.0, 298.0]], ('DEC2314', 0.9951515197753906)], [[[308.0, 271.0], [408.0, 271.0], [408.0, 296.0], [308.0, 296.0]], ('2:52PM', 0.9451956152915955)], [[[93.0, 332.0], [177.0, 332.0], [177.0, 362.0], [93.0, 362.0]], ('TO GO', 0.9242582321166992)], [[[50.0, 397.0], [256.0, 397.0], [256.0, 419.0], [50.0, 419.0]], ('1PIZ MARGHTA', 0.9630674719810486)], [[[412.0, 394.0], [492.0, 394.0], [492.0, 420.0], [412.0, 420.0]], ('11.49', 0.9830282330513)], [[[50.0, 428.0], [308.0, 426.0], [308.0, 450.0], [50.0, 452.0]], ('1WTR ARTC SOLM', 0.9329861998558044)], [[[422.0, 423.0], [492.0, 420.0], [493.0, 451.0], [423.0, 453.0]], ('2.99', 0.9910600781440735)], [[[82.0, 488.0], [209.0, 488.0], [209.0, 512.0], [82.0, 512.0]], ('SUBTOTAL', 0.9971801042556763)], [[[410.0, 485.0], [491.0, 485.0], [491.0, 511.0], [410.0, 511.0]], ('14.48', 0.9954763650894165)], [[[80.0, 518.0], [340.0, 517.0], [341.0, 542.0], [80.0, 543.0]], ('EE BENFT SURCHRG', 0.9587555527687073)], [[[423.0, 517.0], [491.0, 517.0], [491.0, 543.0], [423.0, 543.0]], ('0.29', 0.9970225095748901)], [[[80.0, 547.0], [131.0, 547.0], [131.0, 574.0], [80.0, 574.0]], ('TAX', 0.9960476756095886)], [[[424.0, 547.0], [491.0, 547.0], [491.0, 573.0], [424.0, 573.0]], ('1.33', 0.9890931248664856)], [[[82.0, 578.0], [259.0, 578.0], [259.0, 603.0], [82.0, 603.0]], ('AMOUNT PAID', 0.9772234559059143)], [[[331.0, 578.0], [484.0, 578.0], [484.0, 603.0], [331.0, 603.0]], ('16.10', 0.9746184349060059)], [[[80.0, 607.0], [147.0, 607.0], [147.0, 633.0], [80.0, 633.0]], ('CASH', 0.9982918500900269)], [[[408.0, 607.0], [491.0, 607.0], [491.0, 633.0], [408.0, 633.0]], ('20.00', 0.9968560934066772)], [[[79.0, 638.0], [176.0, 638.0], [176.0, 662.0], [79.0, 662.0]], ('CHANGE', 0.9982264041900635)], [[[423.0, 638.0], [492.0, 638.0], [492.0, 665.0], [423.0, 665.0]], ('3.90', 0.9984855651855469)], [[[21.0, 670.0], [518.0, 670.0], [518.0, 691.0], [21.0, 691.0]], ('-287724C10sedDEC23 02:52PM-', 0.9068863987922668)], [[[48.0, 731.0], [503.0, 731.0], [503.0, 755.0], [48.0, 755.0]], ('THANK YOU FOR YOUR BUSINESS!', 0.9429933428764343)], [[[28.0, 793.0], [507.0, 794.0], [507.0, 819.0], [28.0, 818.0]], ('TELL US ABOUT YOUR EXPERIENCE', 0.9640182852745056)], [[[160.0, 855.0], [373.0, 855.0], [373.0, 880.0], [160.0, 880.0]], ('GILBERT SILVA', 0.970388650894165)], [[[60.0, 918.0], [475.0, 920.0], [475.0, 945.0], [60.0, 943.0]], ('[email protected]', 0.9790694713592529)]]	{"store_name": "HMSHOST", "store_addr": "OAKLANDINTLAIRPORT", "telephone": "", "date": "DEC23'14 DEC23", "time": "2:52PM 02:52PM", "subtotal": "14.48", "tax": "1.33", "total": "16.10", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PIZMARGHTA", "item_value": "11.49", "item_quantity": "1"}, {"item_key": "", "item_name": "WTRARTCSOLM", "item_value": "2.99", "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	[[[[247.0, 60.0], [406.0, 58.0], [407.0, 71.0], [247.0, 74.0]], ('=s=Customer Biling Receipt===', 0.9003655910491943)], [[[266.0, 82.0], [390.0, 82.0], [390.0, 95.0], [266.0, 95.0]], ('Din Tai Fung Restaurant', 0.9728514552116394)], [[[265.0, 96.0], [393.0, 96.0], [393.0, 109.0], [265.0, 109.0]], ('Level 2-Mall of Emirates', 0.9257228970527649)], [[[195.0, 114.0], [308.0, 114.0], [308.0, 124.0], [195.0, 124.0]], ('No.20161102020151-1', 0.9571049213409424)], [[[194.0, 126.0], [300.0, 125.0], [300.0, 138.0], [194.0, 139.0]], ('Time2016/11/0218:01', 0.9612559080123901)], [[[192.0, 139.0], [328.0, 138.0], [328.0, 152.0], [192.0, 153.0]], ('Counter 52Staff 3007', 0.9588724374771118)], [[[194.0, 165.0], [234.0, 167.0], [233.0, 181.0], [193.0, 178.0]], ('Product', 0.978256344795227)], [[[279.0, 165.0], [321.0, 167.0], [320.0, 181.0], [278.0, 178.0]], ('Quantity', 0.9406330585479736)], [[[352.0, 164.0], [378.0, 167.0], [376.0, 179.0], [350.0, 176.0]], ('Price', 0.9890877604484558)], [[[394.0, 167.0], [433.0, 167.0], [433.0, 178.0], [394.0, 178.0]], ('Subtotal', 0.9939113259315491)], [[[350.0, 193.0], [375.0, 193.0], [375.0, 205.0], [350.0, 205.0]], ('5.00', 0.99690842628479)], [[[401.0, 201.0], [434.0, 204.0], [433.0, 219.0], [400.0, 216.0]], ('33.00', 0.9939550161361694)], [[[407.0, 193.0], [434.0, 193.0], [434.0, 205.0], [407.0, 205.0]], ('5.00', 0.9960939884185791)], [[[195.0, 203.0], [279.0, 205.0], [279.0, 218.0], [195.0, 217.0]], ('Beef Chow Mein', 0.9318733215332031)], [[[345.0, 204.0], [376.0, 204.0], [376.0, 217.0], [345.0, 217.0]], ('33.00', 0.9955939054489136)], [[[196.0, 217.0], [307.0, 217.0], [307.0, 230.0], [196.0, 230.0]], ('Vegetable Chow Mein', 0.9381344318389893)], [[[344.0, 215.0], [376.0, 215.0], [376.0, 229.0], [344.0, 229.0]], ('29.00', 0.9950094223022461)], [[[401.0, 216.0], [434.0, 216.0], [434.0, 230.0], [401.0, 230.0]], ('29.00', 0.9960547685623169)], [[[197.0, 229.0], [256.0, 229.0], [256.0, 243.0], [197.0, 243.0]], ('Crispy Beef', 0.9194687008857727)], [[[313.0, 230.0], [322.0, 230.0], [322.0, 239.0], [313.0, 239.0]], ('1', 0.978880763053894)], [[[344.0, 228.0], [375.0, 228.0], [375.0, 242.0], [344.0, 242.0]], ('45.00', 0.9955102205276489)], [[[400.0, 228.0], [434.0, 228.0], [434.0, 242.0], [400.0, 242.0]], ('45.00', 0.9943851232528687)], [[[197.0, 241.0], [256.0, 241.0], [256.0, 255.0], [197.0, 255.0]], ('Oolong Tea', 0.916313648223877)], [[[349.0, 241.0], [374.0, 241.0], [374.0, 253.0], [349.0, 253.0]], ('5.00', 0.9959473609924316)], [[[406.0, 242.0], [433.0, 242.0], [433.0, 254.0], [406.0, 254.0]], ('5.00', 0.9955886602401733)], [[[199.0, 265.0], [239.0, 265.0], [239.0, 276.0], [199.0, 276.0]], ('Amount', 0.9973073601722717)], [[[396.0, 265.0], [435.0, 267.0], [434.0, 281.0], [395.0, 279.0]], ('117.00', 0.99674391746521)], [[[200.0, 286.0], [257.0, 288.0], [256.0, 302.0], [199.0, 300.0]], ('Total (AED)', 0.8788726329803467)], [[[200.0, 299.0], [327.0, 304.0], [326.0, 318.0], [199.0, 313.0]], ('<Payment method >>>', 0.9272466897964478)], [[[396.0, 293.0], [437.0, 295.0], [436.0, 308.0], [395.0, 306.0]], ('117.00', 0.9953939318656921)], [[[201.0, 314.0], [226.0, 314.0], [226.0, 326.0], [201.0, 326.0]], ('Cash', 0.9969931840896606)], [[[199.0, 324.0], [240.0, 329.0], [238.0, 343.0], [198.0, 338.0]], ('Change', 0.9914548993110657)], [[[397.0, 320.0], [435.0, 323.0], [434.0, 334.0], [396.0, 331.0]], ('500.00', 0.9901068210601807)], [[[396.0, 331.0], [436.0, 334.0], [435.0, 348.0], [395.0, 345.0]], ('383.00', 0.9957640171051025)], [[[299.0, 353.0], [354.0, 358.0], [353.0, 372.0], [298.0, 367.0]], ('Thank you', 0.9818289279937744)], [[[259.0, 365.0], [399.0, 367.0], [399.0, 380.0], [259.0, 378.0]], ('=Stores Billing Receipt=', 0.9244243502616882)]]	{"store_name": "DinTaiFungRestaurant", "store_addr": "Level2-MallofEmirates", "telephone": "", "date": "2016/11/02", "time": "18:01", "subtotal": "117.00", "tax": "", "total": "117.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "OolongTea", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefChowMein", "item_value": "33.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VegetableChowMein", "item_value": "29.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CrispyBeef", "item_value": "45.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OolongTee", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "Product", "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	[[[[247.0, 206.0], [670.0, 200.0], [670.0, 222.0], [247.0, 229.0]], ('Customers Checkout Retained', 0.9713432192802429)], [[[410.0, 229.0], [501.0, 226.0], [501.0, 252.0], [411.0, 255.0]], ('51-1', 0.9901841878890991)], [[[382.0, 256.0], [534.0, 256.0], [534.0, 278.0], [382.0, 278.0]], ('Receipt detail', 0.9648478627204895)], [[[322.0, 299.0], [596.0, 296.0], [596.0, 317.0], [322.0, 320.0]], ('Din Tai Fung Restaurant', 0.9607081413269043)], [[[318.0, 323.0], [605.0, 320.0], [605.0, 341.0], [318.0, 344.0]], ('Level 2-Mall of Emirates', 0.9138497710227966)], [[[151.0, 356.0], [360.0, 354.0], [361.0, 375.0], [151.0, 378.0]], ('No.201606200157', 0.9970594048500061)], [[[146.0, 381.0], [391.0, 379.0], [391.0, 400.0], [146.0, 403.0]], ('Time:2016/06/2023:17', 0.9691330790519714)], [[[144.0, 406.0], [242.0, 409.0], [241.0, 431.0], [143.0, 429.0]], ('Counter', 0.9973183870315552)], [[[254.0, 408.0], [285.0, 408.0], [285.0, 428.0], [254.0, 428.0]], ('52', 0.9997098445892334)], [[[318.0, 404.0], [452.0, 401.0], [453.0, 426.0], [319.0, 429.0]], ('Staff3001', 0.9944594502449036)], [[[134.0, 457.0], [222.0, 457.0], [222.0, 480.0], [134.0, 480.0]], ('Product', 0.9976192116737366)], [[[371.0, 456.0], [465.0, 456.0], [465.0, 482.0], [371.0, 482.0]], ('Quantity', 0.9978957176208496)], [[[508.0, 455.0], [568.0, 455.0], [568.0, 478.0], [508.0, 478.0]], ('Price', 0.9979488253593445)], [[[620.0, 454.0], [716.0, 454.0], [716.0, 475.0], [620.0, 475.0]], ('Subtotal', 0.9963626265525818)], [[[123.0, 513.0], [383.0, 511.0], [384.0, 536.0], [123.0, 538.0]], ('House Special Salad', 0.9672033190727234)], [[[440.0, 510.0], [460.0, 510.0], [460.0, 535.0], [440.0, 535.0]], ('1', 0.9894508719444275)], [[[501.0, 508.0], [577.0, 508.0], [577.0, 534.0], [501.0, 534.0]], ('22.00', 0.9984847903251648)], [[[648.0, 505.0], [724.0, 505.0], [724.0, 531.0], [648.0, 531.0]], ('22.00', 0.998445987701416)], [[[120.0, 541.0], [395.0, 541.0], [395.0, 566.0], [120.0, 566.0]], ('Chicken XiaoLongBao', 0.9769608378410339)], [[[441.0, 540.0], [459.0, 540.0], [459.0, 561.0], [441.0, 561.0]], ('1', 0.9831052422523499)], [[[504.0, 538.0], [577.0, 538.0], [577.0, 560.0], [504.0, 560.0]], ('28.00', 0.9987009763717651)], [[[652.0, 534.0], [729.0, 534.0], [729.0, 560.0], [652.0, 560.0]], ('28.00', 0.9988425374031067)], [[[113.0, 570.0], [370.0, 573.0], [369.0, 598.0], [112.0, 595.0]], ('Sauteed Kang Kung', 0.9445968866348267)], [[[440.0, 568.0], [460.0, 568.0], [460.0, 592.0], [440.0, 592.0]], ('1', 0.9724953770637512)], [[[502.0, 567.0], [577.0, 563.0], [578.0, 588.0], [503.0, 592.0]], ('35.00', 0.998099684715271)], [[[655.0, 562.0], [734.0, 562.0], [734.0, 589.0], [655.0, 589.0]], ('35.00', 0.9982317686080933)], [[[106.0, 600.0], [357.0, 601.0], [357.0, 628.0], [106.0, 626.0]], ('Tomato &Tofu Egg', 0.9383404850959778)], [[[440.0, 596.0], [460.0, 596.0], [460.0, 622.0], [440.0, 622.0]], ('1', 0.970122218132019)], [[[504.0, 594.0], [582.0, 594.0], [582.0, 620.0], [504.0, 620.0]], ('19.00', 0.998674750328064)], [[[657.0, 591.0], [736.0, 591.0], [736.0, 618.0], [657.0, 618.0]], ('19.00', 0.9983212351799011)], [[[102.0, 628.0], [268.0, 628.0], [268.0, 652.0], [102.0, 652.0]], ('Flower Soup', 0.9590709805488586)], [[[438.0, 652.0], [460.0, 652.0], [460.0, 679.0], [438.0, 679.0]], ('1', 0.9755862951278687)], [[[503.0, 652.0], [585.0, 648.0], [586.0, 675.0], [504.0, 678.0]], ('38.00', 0.9979438781738281)], [[[665.0, 649.0], [747.0, 649.0], [747.0, 675.0], [665.0, 675.0]], ('38.00', 0.9983132481575012)], [[[94.0, 659.0], [326.0, 655.0], [326.0, 681.0], [95.0, 685.0]], ('Ja Jiang Noodles', 0.9561243653297424)], [[[88.0, 686.0], [294.0, 682.0], [294.0, 709.0], [89.0, 713.0]], ('with Chicken &', 0.9540165066719055)], [[[84.0, 710.0], [173.0, 713.0], [172.0, 739.0], [83.0, 736.0]], ('Beans', 0.9980138540267944)], [[[75.0, 745.0], [240.0, 742.0], [241.0, 774.0], [76.0, 776.0]], ('Oolong Tea', 0.9687889814376831)], [[[436.0, 739.0], [463.0, 739.0], [463.0, 770.0], [436.0, 770.0]], ('2', 0.9976658821105957)], [[[524.0, 736.0], [593.0, 736.0], [593.0, 769.0], [524.0, 769.0]], ('5.00', 0.997954785823822)], [[[678.0, 738.0], [761.0, 738.0], [761.0, 765.0], [678.0, 765.0]], ('10.00', 0.9975217580795288)], [[[56.0, 820.0], [177.0, 817.0], [178.0, 849.0], [57.0, 851.0]], ('Amount', 0.9981366991996765)], [[[669.0, 812.0], [775.0, 812.0], [775.0, 842.0], [669.0, 842.0]], ('152.00', 0.9982474446296692)], [[[45.0, 899.0], [222.0, 899.0], [222.0, 934.0], [45.0, 934.0]], ('Total (AED)', 0.9035105109214783)], [[[675.0, 894.0], [788.0, 894.0], [788.0, 929.0], [675.0, 929.0]], ('152.00', 0.9982417225837708)], [[[366.0, 982.0], [535.0, 985.0], [534.0, 1024.0], [365.0, 1021.0]], ('Thank you', 0.9821630120277405)], [[[341.0, 1035.0], [566.0, 1035.0], [566.0, 1069.0], [341.0, 1069.0]], ('Receipt detail', 0.9653602242469788)]]	{"store_name": "DinTaiFungRestaurant", "store_addr": "Level2-MallofEmirates", "telephone": "", "date": "2016/06/20", "time": "23:17", "subtotal": "152.00", "tax": "", "total": "152.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HouseSpecialSalad", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenXiaoLongBao", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Saut\u00e9edKangKung", "item_value": "35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tomato&TofuEgg", "item_value": "19.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FlowerSoup", "item_value": "38.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JaJiangNoodles", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "withChicken&", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "beans", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "OolongTea", "item_value": "", "item_quantity": ""}, {"item_key": "Product", "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	[[[[160.0, 299.0], [859.0, 286.0], [859.0, 326.0], [161.0, 339.0]], ('Golden Arches Restaurants Sdn Bhd', 0.965235710144043)], [[[164.0, 348.0], [349.0, 348.0], [349.0, 388.0], [164.0, 388.0]], ('65351-M', 0.9811307787895203)], [[[153.0, 397.0], [773.0, 388.0], [774.0, 438.0], [154.0, 447.0]], ("McDona\|d's Nong Chik DT#297)", 0.9354917407035828)], [[[453.0, 500.0], [693.0, 495.0], [694.0, 541.0], [454.0, 547.0]], ('TAX INVOICE', 0.9539064168930054)], [[[153.0, 658.0], [927.0, 655.0], [927.0, 695.0], [154.0, 698.0]], ('#ORD 30-REG 12-10/03/2013 13:57:55', 0.9127411842346191)], [[[150.0, 712.0], [329.0, 712.0], [329.0, 753.0], [150.0, 753.0]], ('QTY ITEM', 0.9549411535263062)], [[[866.0, 707.0], [977.0, 707.0], [977.0, 750.0], [866.0, 750.0]], ('TOTAL', 0.9981756210327148)], [[[198.0, 767.0], [455.0, 767.0], [455.0, 807.0], [198.0, 807.0]], ('1 MCokeLight', 0.9644238948822021)], [[[885.0, 760.0], [980.0, 760.0], [980.0, 805.0], [885.0, 805.0]], ('2.95', 0.998587965965271)], [[[196.0, 818.0], [476.0, 822.0], [475.0, 862.0], [196.0, 858.0]], ('1 VLMBeef&Egg', 0.9604698419570923)], [[[886.0, 813.0], [982.0, 813.0], [982.0, 858.0], [886.0, 858.0]], ('3.00', 0.9980090260505676)], [[[198.0, 875.0], [626.0, 875.0], [626.0, 915.0], [198.0, 915.0]], ("1 R'berryDazzleFlury", 0.9348992109298706)], [[[886.0, 867.0], [985.0, 867.0], [985.0, 917.0], [886.0, 917.0]], ('5.35', 0.9958136081695557)], [[[148.0, 985.0], [646.0, 982.0], [646.0, 1020.0], [148.0, 1023.0]], ('Eat-In Tota incl Tax', 0.9205730557441711)], [[[873.0, 978.0], [989.0, 978.0], [989.0, 1027.0], [873.0, 1027.0]], ('11.98', 0.9972923994064331)], [[[141.0, 1040.0], [477.0, 1035.0], [478.0, 1080.0], [142.0, 1085.0]], ('Rounding Adjust', 0.9813400506973267)], [[[890.0, 1031.0], [991.0, 1036.0], [989.0, 1086.0], [887.0, 1081.0]], ('0.02', 0.993779182434082)], [[[140.0, 1091.0], [324.0, 1095.0], [323.0, 1142.0], [139.0, 1138.0]], ('Rounding', 0.9986140727996826)], [[[876.0, 1090.0], [992.0, 1090.0], [992.0, 1138.0], [876.0, 1138.0]], ('12.00', 0.9984609484672546)], [[[141.0, 1152.0], [433.0, 1152.0], [433.0, 1192.0], [141.0, 1192.0]], ('Cash Tendered', 0.9764524102210999)], [[[874.0, 1148.0], [992.0, 1148.0], [992.0, 1192.0], [874.0, 1192.0]], ('20.00', 0.9962156414985657)], [[[134.0, 1203.0], [280.0, 1207.0], [278.0, 1260.0], [132.0, 1256.0]], ('Change', 0.9980909824371338)], [[[895.0, 1203.0], [997.0, 1203.0], [997.0, 1253.0], [895.0, 1253.0]], ('8.00', 0.998555064201355)], [[[140.0, 1322.0], [786.0, 1320.0], [786.0, 1360.0], [140.0, 1362.0]], ('TOTAL INCLUDES 6% GoVt Tax OF', 0.8815932869911194)], [[[898.0, 1317.0], [1001.0, 1317.0], [1001.0, 1368.0], [898.0, 1368.0]], ('0.68', 0.9947121739387512)], [[[141.0, 1383.0], [847.0, 1383.0], [847.0, 1423.0], [141.0, 1423.0]], ('Thank You and Please Come Again', 0.942722737789154)]]	{"store_name": "McDonald'sNongChikDT(#297)", "store_addr": "", "telephone": "", "date": "10/03/2013", "time": "13:57:55", "subtotal": "", "tax": "0.68", "total": "11.98", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MCokeLight", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "VLMBeef&Egg", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "R'berryDazzleFlury", "item_value": "5.35", "item_quantity": "1"}, {"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	[[[[37.0, 58.0], [110.0, 58.0], [110.0, 80.0], [37.0, 80.0]], ('SSAMBAP', 0.9961667060852051)], [[[36.0, 105.0], [122.0, 108.0], [121.0, 129.0], [35.0, 126.0]], ('Dr Awang', 0.9683004021644592)], [[[38.0, 130.0], [281.0, 130.0], [281.0, 150.0], [38.0, 150.0]], ('11900 Bayan Lepas Penang', 0.9543446898460388)], [[[36.0, 155.0], [233.0, 154.0], [233.0, 175.0], [37.0, 176.0]], ('GSTNO.513970176', 0.9421380758285522)], [[[35.0, 203.0], [342.0, 195.0], [343.0, 220.0], [36.0, 228.0]], ('R.NoP0S002007', 0.9221616983413696)], [[[36.0, 228.0], [294.0, 223.0], [294.0, 246.0], [37.0, 251.0]], ('Date:2015-08-12 13:15:31', 0.9335076212882996)], [[[37.0, 253.0], [255.0, 249.0], [256.0, 272.0], [38.0, 276.0]], ('Transaction by:Admin', 0.9644297361373901)], [[[37.0, 279.0], [243.0, 274.0], [244.0, 312.0], [38.0, 317.0]], ('Table:R10', 0.9318914413452148)], [[[38.0, 318.0], [105.0, 318.0], [105.0, 340.0], [38.0, 340.0]], ('Pax:2', 0.928253173828125)], [[[432.0, 329.0], [522.0, 326.0], [523.0, 353.0], [433.0, 356.0]], ('Amt RM', 0.9257248044013977)], [[[38.0, 344.0], [184.0, 341.0], [185.0, 362.0], [39.0, 365.0]], ('No Description', 0.9656451940536499)], [[[467.0, 379.0], [526.0, 377.0], [527.0, 403.0], [469.0, 405.0]], ('18.00', 0.9965865015983582)], [[[66.0, 390.0], [254.0, 386.0], [255.0, 410.0], [66.0, 414.0]], ('R6 Bulgogi Deopbap', 0.9345594048500061)], [[[470.0, 405.0], [529.0, 405.0], [529.0, 430.0], [470.0, 430.0]], ('18.00', 0.9967157244682312)], [[[40.0, 420.0], [74.0, 420.0], [74.0, 435.0], [40.0, 435.0]], ('1', 0.8938981294631958)], [[[65.0, 417.0], [234.0, 414.0], [234.0, 435.0], [65.0, 438.0]], ('R7 Jeyuk Deopbap', 0.9525728225708008)], [[[37.0, 465.0], [163.0, 463.0], [163.0, 487.0], [38.0, 489.0]], ('Subtota1 2', 0.9076933860778809)], [[[471.0, 457.0], [532.0, 457.0], [532.0, 483.0], [471.0, 483.0]], ('36.00', 0.9944947957992554)], [[[37.0, 492.0], [243.0, 488.0], [244.0, 512.0], [38.0, 516.0]], ('Service Charge (10%', 0.9349600076675415)], [[[483.0, 484.0], [534.0, 484.0], [534.0, 510.0], [483.0, 510.0]], ('3.60', 0.996086061000824)], [[[37.0, 516.0], [120.0, 516.0], [120.0, 541.0], [37.0, 541.0]], ('GST 6%)', 0.8805950880050659)], [[[485.0, 511.0], [535.0, 511.0], [535.0, 537.0], [485.0, 537.0]], ('2.38', 0.99358069896698)], [[[36.0, 541.0], [122.0, 543.0], [121.0, 568.0], [35.0, 566.0]], ('Rounding', 0.9983761310577393)], [[[486.0, 539.0], [537.0, 539.0], [537.0, 565.0], [486.0, 565.0]], ('0.02', 0.9953196048736572)], [[[97.0, 593.0], [202.0, 593.0], [202.0, 637.0], [97.0, 637.0]], ('Total', 0.9972772598266602)], [[[421.0, 592.0], [539.0, 594.0], [538.0, 642.0], [420.0, 640.0]], ('42.00', 0.9970855712890625)], [[[99.0, 637.0], [238.0, 637.0], [238.0, 661.0], [99.0, 661.0]], ('Cash 6185', 0.9469223022460938)], [[[550.0, 640.0], [565.0, 640.0], [565.0, 666.0], [550.0, 666.0]], ('5', 0.9403448700904846)], [[[36.0, 660.0], [82.0, 660.0], [82.0, 687.0], [36.0, 687.0]], ('0.00', 0.9970925450325012)], [[[99.0, 685.0], [164.0, 691.0], [162.0, 717.0], [97.0, 711.0]], ('Change', 0.9981829524040222)], [[[491.0, 695.0], [545.0, 695.0], [545.0, 722.0], [491.0, 722.0]], ('8.00', 0.9978883266448975)], [[[42.0, 735.0], [337.0, 747.0], [336.0, 770.0], [41.0, 758.0]], ('Thank You For Dining With Us', 0.9433804154396057)], [[[43.0, 761.0], [262.0, 770.0], [261.0, 793.0], [42.0, 784.0]], ('Powered by Genius POS', 0.9445098042488098)], [[[360.0, 768.0], [580.0, 768.0], [580.0, 782.0], [360.0, 782.0]], ('http://www.paupaudreamland.com/', 0.9920344352722168)]]	{"store_name": "SSAMBAP", "store_addr": "1-1-24KristalPointCorporateParJalanTun DrAwang 11900BayanLepasPenang", "telephone": "", "date": "2015-08-12", "time": "13:15:31", "subtotal": "36.00", "tax": "2.38", "total": "42.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "R6BulgogiDeopbap", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "R7JeyukDeopbap", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "NoDescription", "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, 32.0], [236.0, 37.0], [236.0, 64.0], [62.0, 60.0]], ('Kitsch at Embassy', 0.9869000911712646)], [[[76.0, 80.0], [217.0, 80.0], [217.0, 94.0], [76.0, 94.0]], ('29 0ld Burlington Street', 0.9373641014099121)], [[[104.0, 96.0], [189.0, 96.0], [189.0, 110.0], [104.0, 110.0]], ('London W1S 3AN', 0.9262935519218445)], [[[93.0, 112.0], [200.0, 112.0], [200.0, 127.0], [93.0, 127.0]], ('Tel.020 7494 5660', 0.924118161201477)], [[[87.0, 130.0], [206.0, 130.0], [206.0, 144.0], [87.0, 144.0]], ('www.kitschlondon.com', 0.9883952140808105)], [[[22.0, 161.0], [65.0, 163.0], [64.0, 178.0], [21.0, 176.0]], ('Server:', 0.9872660040855408)], [[[22.0, 179.0], [159.0, 179.0], [159.0, 192.0], [22.0, 192.0]], ('Check Deta1164279.70', 0.9356549978256226)], [[[22.0, 195.0], [117.0, 195.0], [117.0, 210.0], [22.0, 210.0]], ('02:37am10/10/13', 0.9465434551239014)], [[[22.0, 212.0], [100.0, 212.0], [100.0, 226.0], [22.0, 226.0]], ('Table NoCL1', 0.9577279686927795)], [[[138.0, 211.0], [201.0, 210.0], [201.0, 225.0], [138.0, 226.0]], ('Covers:1', 0.9365684986114502)], [[[27.0, 278.0], [118.0, 278.0], [118.0, 292.0], [27.0, 292.0]], ('64 Dom Perignon', 0.9162514805793762)], [[[209.0, 278.0], [271.0, 278.0], [271.0, 292.0], [209.0, 292.0]], ('20,800.00', 0.9511650800704956)], [[[26.0, 291.0], [117.0, 293.0], [116.0, 310.0], [26.0, 308.0]], ('25 Crista1 Brut', 0.9365332126617432)], [[[208.0, 293.0], [272.0, 293.0], [272.0, 310.0], [208.0, 310.0]], ('10,500.00', 0.9493433833122253)], [[[30.0, 309.0], [84.0, 309.0], [84.0, 326.0], [30.0, 326.0]], ('7Mojito', 0.9484432339668274)], [[[233.0, 310.0], [272.0, 310.0], [272.0, 325.0], [233.0, 325.0]], ('85.19', 0.9898759722709656)], [[[26.0, 325.0], [82.0, 325.0], [82.0, 342.0], [26.0, 342.0]], ('10 Peroni', 0.923095166683197)], [[[233.0, 326.0], [272.0, 326.0], [272.0, 341.0], [233.0, 341.0]], ('69.50', 0.9832022786140442)], [[[26.0, 341.0], [95.0, 341.0], [95.0, 359.0], [26.0, 359.0]], ('20 Red Bu11', 0.9294664859771729)], [[[232.0, 342.0], [272.0, 342.0], [272.0, 358.0], [232.0, 358.0]], ('86.80', 0.9426725506782532)], [[[28.0, 360.0], [133.0, 360.0], [133.0, 374.0], [28.0, 374.0]], ("16'Ace of Spades'", 0.9096595048904419)], [[[209.0, 360.0], [271.0, 360.0], [271.0, 374.0], [209.0, 374.0]], ('10,240.00', 0.9447358250617981)], [[[26.0, 374.0], [147.0, 375.0], [147.0, 392.0], [26.0, 391.0]], ('12 Dom Perignon Rose', 0.941851019859314)], [[[214.0, 375.0], [272.0, 375.0], [272.0, 392.0], [214.0, 392.0]], ('6,960.00', 0.9369258880615234)], [[[32.0, 393.0], [88.0, 393.0], [88.0, 407.0], [32.0, 407.0]], ('6 Bellini', 0.896006166934967)], [[[232.0, 389.0], [271.0, 391.0], [270.0, 409.0], [231.0, 407.0]], ('73.02', 0.9427210092544556)], [[[32.0, 409.0], [117.0, 409.0], [117.0, 423.0], [32.0, 423.0]], ('6 Bott le Water', 0.8821359872817993)], [[[232.0, 409.0], [271.0, 409.0], [271.0, 424.0], [232.0, 424.0]], ('20.88', 0.9833923578262329)], [[[33.0, 425.0], [141.0, 425.0], [141.0, 440.0], [33.0, 440.0]], ('2 Chivas 18 Yr Bt1', 0.9057626724243164)], [[[227.0, 425.0], [271.0, 425.0], [271.0, 441.0], [227.0, 441.0]], ('700.00', 0.9964154362678528)], [[[31.0, 440.0], [152.0, 443.0], [152.0, 457.0], [31.0, 455.0]], ('8 Krug Grande Curvee', 0.9172601699829102)], [[[214.0, 441.0], [272.0, 441.0], [272.0, 458.0], [214.0, 458.0]], ('2.040.00', 0.9199665188789368)], [[[30.0, 456.0], [147.0, 457.0], [147.0, 474.0], [30.0, 473.0]], ('8 Belle Epoque Rose', 0.9034228920936584)], [[[214.0, 456.0], [271.0, 458.0], [270.0, 473.0], [213.0, 471.0]], ('4,320.00', 0.9332011938095093)], [[[66.0, 488.0], [136.0, 490.0], [135.0, 508.0], [66.0, 505.0]], ('Opt Svc Ch', 0.936478316783905)], [[[208.0, 491.0], [264.0, 491.0], [264.0, 505.0], [208.0, 505.0]], ('8384.31', 0.9869601130485535)], [[[90.0, 506.0], [149.0, 506.0], [149.0, 524.0], [90.0, 524.0]], ('Amt Due', 0.9649292230606079)], [[[142.0, 507.0], [262.0, 507.0], [262.0, 522.0], [142.0, 522.0]], ('64279.70', 0.9939980506896973)], [[[62.0, 541.0], [135.0, 541.0], [135.0, 555.0], [62.0, 555.0]], ('VAT Included', 0.9445028305053711)], [[[209.0, 541.0], [264.0, 541.0], [264.0, 555.0], [209.0, 555.0]], ('9,315.91', 0.9455559253692627)], [[[20.0, 571.0], [48.0, 574.0], [47.0, 590.0], [19.0, 587.0]], ('Amex', 0.9487727880477905)], [[[203.0, 573.0], [265.0, 573.0], [265.0, 587.0], [203.0, 587.0]], ('64,279.70', 0.9291577935218811)], [[[113.0, 620.0], [171.0, 622.0], [171.0, 639.0], [113.0, 637.0]], ('Thank You', 0.9647142887115479)], [[[86.0, 639.0], [199.0, 639.0], [199.0, 653.0], [86.0, 653.0]], ('Includes VAT at 20%', 0.9287769198417664)], [[[103.0, 655.0], [187.0, 655.0], [187.0, 669.0], [103.0, 669.0]], ('Enbassy London', 0.9465886950492859)], [[[51.0, 672.0], [239.0, 672.0], [239.0, 686.0], [51.0, 686.0]], ('VAT No778 7066 73 Inv No:86427', 0.9179434180259705)], [[[54.0, 698.0], [140.0, 698.0], [140.0, 711.0], [54.0, 711.0]], ('News Agency', 0.9848957061767578)]]	{"store_name": "KitschatEmbassy", "store_addr": "29OldBurlingtonStreet LondonW1S3AN", "telephone": "02074945660", "date": "10/10/13", "time": "02:37am", "subtotal": "", "tax": "\u00a39,315.91", "total": "\u00a364,279.70 \u00a364,279.70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DomPerignon", "item_value": "\u00a320,800.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CristalBrut", "item_value": "\u00a310,500.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mojito", "item_value": "\u00a385.19", "item_quantity": "1"}, {"item_key": "", "item_name": "Peroni", "item_value": "\u00a369,50", "item_quantity": "1"}, {"item_key": "", "item_name": "RedBull", "item_value": "\u00a388.80", "item_quantity": "1"}, {"item_key": "", "item_name": "'Aceofspades'", "item_value": "\u00a310,240.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DomPerignonRose", "item_value": "\u00a36,960.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Bellini", "item_value": "\u00a373.02", "item_quantity": "1"}, {"item_key": "", "item_name": "BottleWater", "item_value": "\u00a320,88", "item_quantity": "1"}, {"item_key": "", "item_name": "Chivas18YrBtl", "item_value": "\u00a3700.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KrugGrandeCurvee", "item_value": "\u00a32,040.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BelleEpoqueRose", "item_value": "\u00a34,320.00", "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	[[[[107.0, 3.0], [216.0, 5.0], [215.0, 19.0], [107.0, 17.0]], ('Lynnwood s1190', 0.8528116345405579)], [[[128.0, 13.0], [202.0, 16.0], [201.0, 30.0], [127.0, 27.0]], ('8109dA', 0.8683376908302307)], [[[123.0, 24.0], [160.0, 27.0], [160.0, 38.0], [122.0, 35.0]], ('Lynnwooo', 0.5679244995117188)], [[[166.0, 27.0], [202.0, 27.0], [202.0, 38.0], [166.0, 38.0]], ('WA98037', 0.9561433792114258)], [[[81.0, 38.0], [180.0, 46.0], [179.0, 60.0], [80.0, 52.0]], ('EMenber1118404664', 0.7772102355957031)], [[[82.0, 51.0], [93.0, 51.0], [93.0, 58.0], [82.0, 58.0]], ('F.', 0.7615420818328857)], [[[90.0, 50.0], [192.0, 56.0], [191.0, 69.0], [90.0, 64.0]], ('099426DEPENS', 0.8137287497520447)], [[[91.0, 59.0], [190.0, 66.0], [189.0, 79.0], [90.0, 73.0]], ('0000162045CPN/099426', 0.9386979341506958)], [[[211.0, 54.0], [244.0, 54.0], [244.0, 65.0], [211.0, 65.0]], ('2.99A', 0.9150941967964172)], [[[107.0, 70.0], [192.0, 73.0], [191.0, 87.0], [107.0, 84.0]], ('11462HP', 0.8521662354469299)], [[[213.0, 70.0], [234.0, 70.0], [234.0, 81.0], [213.0, 81.0]], ('5.99', 0.9948192238807678)], [[[214.0, 64.0], [235.0, 64.0], [235.0, 72.0], [214.0, 72.0]], ('8.50-', 0.9027392268180847)], [[[80.0, 76.0], [180.0, 83.0], [179.0, 98.0], [79.0, 91.0]], ('0000161971HIPS', 0.8835234045982361)], [[[210.0, 79.0], [242.0, 79.0], [242.0, 93.0], [210.0, 93.0]], ('2.00-', 0.956082820892334)], [[[104.0, 89.0], [188.0, 92.0], [187.0, 107.0], [104.0, 104.0]], ('1103942CURT', 0.8999858498573303)], [[[206.0, 90.0], [245.0, 88.0], [245.0, 102.0], [207.0, 104.0]], ('21.99 A', 0.8957480192184448)], [[[104.0, 109.0], [189.0, 113.0], [188.0, 127.0], [104.0, 122.0]], ('1092587STDSERTLRG', 0.8359653353691101)], [[[106.0, 100.0], [192.0, 101.0], [192.0, 115.0], [106.0, 114.0]], ('580664150', 0.9638190865516663)], [[[209.0, 101.0], [244.0, 101.0], [244.0, 112.0], [209.0, 112.0]], ('19.49A', 0.9575202465057373)], [[[116.0, 119.0], [153.0, 122.0], [153.0, 134.0], [115.0, 131.0]], ('SUSTOTAL', 0.9677545428276062)], [[[208.0, 119.0], [235.0, 122.0], [233.0, 134.0], [207.0, 131.0]], ('99.95', 0.9818624258041382)], [[[210.0, 112.0], [243.0, 112.0], [243.0, 122.0], [210.0, 122.0]], ('19.99A', 0.932767391204834)], [[[117.0, 128.0], [138.0, 132.0], [136.0, 143.0], [115.0, 139.0]], ('TAX', 0.9037356376647949)], [[[96.0, 139.0], [140.0, 139.0], [140.0, 150.0], [96.0, 150.0]], ('TOTAL', 0.9779103994369507)], [[[209.0, 130.0], [236.0, 130.0], [236.0, 140.0], [209.0, 140.0]], ('10.86', 0.9858142137527466)], [[[81.0, 156.0], [153.0, 157.0], [153.0, 168.0], [81.0, 167.0]], ('XXxxxxxxxXxx3483', 0.6172668933868408)], [[[80.0, 166.0], [244.0, 166.0], [244.0, 179.0], [80.0, 179.0]], ('AIDA000000003110 VERIFIED BY PIN', 0.9051299095153809)], [[[192.0, 157.0], [235.0, 157.0], [235.0, 168.0], [192.0, 168.0]], ('CHIP Read', 0.9394357204437256)], [[[80.0, 177.0], [103.0, 177.0], [103.0, 188.0], [80.0, 188.0]], ('Sea', 0.716515302658081)], [[[80.0, 184.0], [104.0, 188.0], [103.0, 199.0], [79.0, 195.0]], ('VISS', 0.5292940139770508)], [[[100.0, 177.0], [134.0, 177.0], [134.0, 187.0], [100.0, 187.0]], ('10937', 0.9555394053459167)], [[[152.0, 176.0], [210.0, 177.0], [209.0, 188.0], [152.0, 187.0]], ('App061990', 0.865960419178009)], [[[79.0, 195.0], [194.0, 195.0], [194.0, 208.0], [79.0, 208.0]], ('Tran ID710300010937....', 0.8783698081970215)], [[[121.0, 186.0], [183.0, 186.0], [183.0, 197.0], [121.0, 197.0]], ('ReseAPPROVED', 0.914492666721344)], [[[80.0, 206.0], [167.0, 206.0], [167.0, 216.0], [80.0, 216.0]], ('Merchant ID:991190', 0.9257943630218506)], [[[79.0, 223.0], [167.0, 223.0], [167.0, 236.0], [79.0, 236.0]], ('APPROVED-Purchase', 0.941177487373352)], [[[78.0, 235.0], [150.0, 235.0], [150.0, 246.0], [78.0, 246.0]], ('AMOUNT$110.81', 0.9580695629119873)], [[[78.0, 245.0], [220.0, 243.0], [221.0, 254.0], [78.0, 256.0]], ('04/13/201719:52119010 30843', 0.9522311687469482)], [[[113.0, 264.0], [143.0, 266.0], [142.0, 280.0], [111.0, 277.0]], ('Visa', 0.9768120646476746)], [[[207.0, 262.0], [241.0, 264.0], [239.0, 278.0], [206.0, 275.0]], ('110.81', 0.9684267640113831)], [[[114.0, 277.0], [143.0, 277.0], [143.0, 288.0], [114.0, 288.0]], ('CHANGE', 0.9975327849388123)], [[[218.0, 276.0], [240.0, 276.0], [240.0, 287.0], [218.0, 287.0]], ('0.00', 0.9907386898994446)], [[[81.0, 299.0], [139.0, 299.0], [139.0, 309.0], [81.0, 309.0]], ('A10.40Z TAX', 0.879115879535675)], [[[216.0, 298.0], [241.0, 298.0], [241.0, 308.0], [216.0, 308.0]], ('10.86', 0.9813560247421265)], [[[81.0, 309.0], [129.0, 309.0], [129.0, 320.0], [81.0, 320.0]], ('TOTAL TAX', 0.9347205758094788)], [[[216.0, 308.0], [241.0, 308.0], [241.0, 319.0], [216.0, 319.0]], ('10.86', 0.9920461773872375)], [[[75.0, 319.0], [210.0, 317.0], [211.0, 331.0], [75.0, 333.0]], ('TOTAL NUMBER OF ITEMS SOLD-', 0.910186231136322)], [[[221.0, 320.0], [234.0, 320.0], [234.0, 329.0], [221.0, 329.0]], ('5', 0.9909632802009583)], [[[75.0, 330.0], [153.0, 330.0], [153.0, 343.0], [75.0, 343.0]], ('COUPONS TENDERED', 0.9754528999328613)], [[[202.0, 330.0], [237.0, 330.0], [237.0, 341.0], [202.0, 341.0]], ('s10.50', 0.8931328654289246)]]	{"store_name": "Lynnwood#1190", "store_addr": "", "telephone": "", "date": "04/13/2017", "time": "19:52", "subtotal": "99.95", "tax": "10.86 10.86 10.86", "total": "110.81 $110.81 110.81", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "1099426DEPENDMENS", "item_value": "42.99", "item_quantity": "1"}, {"item_key": "", "item_name": "1103942WINDOWCURT", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "21.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "19.49", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "19.99", "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	[[[[36.0, 16.0], [212.0, 26.0], [211.0, 43.0], [35.0, 32.0]], ('Natomas Car Wash & Detail', 0.9300374388694763)], [[[49.0, 34.0], [204.0, 44.0], [203.0, 61.0], [48.0, 51.0]], ('4461 East Commerce Way', 0.9476955533027649)], [[[84.0, 52.0], [170.0, 59.0], [169.0, 76.0], [83.0, 69.0]], ('916-419-8846', 0.9902317523956299)], [[[73.0, 84.0], [178.0, 90.0], [177.0, 107.0], [72.0, 101.0]], ('Car# 495', 0.9428930878639221)], [[[92.0, 115.0], [159.0, 119.0], [159.0, 133.0], [92.0, 129.0]], ('3:12:39PM', 0.9134052991867065)], [[[0.0, 144.0], [60.0, 144.0], [60.0, 161.0], [0.0, 161.0]], ('Cashierl,', 0.9763668775558472)], [[[137.0, 140.0], [242.0, 145.0], [242.0, 158.0], [136.0, 154.0]], ('12/28/1803:12PM', 0.9362215399742126)], [[[0.0, 161.0], [108.0, 153.0], [109.0, 170.0], [0.0, 177.0]], ('Shift 1Emp1 69,', 0.8913748264312744)], [[[136.0, 154.0], [240.0, 154.0], [240.0, 167.0], [136.0, 167.0]], ('Sale #23601702656', 0.9404590725898743)], [[[200.0, 176.0], [230.0, 176.0], [230.0, 191.0], [200.0, 191.0]], ('27.99', 0.9940983653068542)], [[[40.0, 188.0], [129.0, 179.0], [131.0, 196.0], [42.0, 205.0]], ('1 Ful1 Service', 0.8846181035041809)], [[[126.0, 207.0], [170.0, 202.0], [172.0, 217.0], [128.0, 222.0]], ('Subtotal', 0.9908856153488159)], [[[199.0, 201.0], [229.0, 201.0], [229.0, 216.0], [199.0, 216.0]], ('27.99', 0.9968263506889343)], [[[118.0, 221.0], [171.0, 215.0], [173.0, 232.0], [120.0, 238.0]], ('Sales Tax', 0.9690927863121033)], [[[201.0, 214.0], [229.0, 214.0], [229.0, 228.0], [201.0, 228.0]], ('0.00', 0.993226170539856)], [[[141.0, 232.0], [169.0, 229.0], [170.0, 243.0], [142.0, 246.0]], ('Total', 0.9966748952865601)], [[[198.0, 227.0], [229.0, 227.0], [229.0, 241.0], [198.0, 241.0]], ('27.99', 0.9958270788192749)], [[[198.0, 252.0], [230.0, 252.0], [230.0, 269.0], [198.0, 269.0]], ('27.99', 0.9947090148925781)], [[[59.0, 273.0], [121.0, 261.0], [125.0, 278.0], [62.0, 290.0]], ('Visa x6556', 0.9185430407524109)], [[[79.0, 317.0], [173.0, 303.0], [176.0, 320.0], [82.0, 334.0]], ('was Johnny.#69.', 0.8658283352851868)]]	{"store_name": "NatomasCarWash&Detail", "store_addr": "4461EastCommerceWay", "telephone": "916-419-8846", "date": "12/28/18,", "time": "3:12:39PM 03:12PM", "subtotal": "27.99", "tax": "0.00", "total": "27.99 27.99", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FullService", "item_value": "27.99", "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	[[[[160.0, 71.0], [406.0, 74.0], [406.0, 92.0], [160.0, 90.0]], ('Win 1 of5 prizes of200', 0.887319028377533)], [[[164.0, 93.0], [399.0, 96.0], [399.0, 113.0], [164.0, 110.0]], ('in Morrisons vouchers!', 0.9410386681556702)], [[[158.0, 116.0], [405.0, 117.0], [405.0, 136.0], [158.0, 135.0]], ('Visit wwm orrisonsislistening.co.uk', 0.9566457271575928)], [[[181.0, 135.0], [381.0, 136.0], [381.0, 153.0], [181.0, 152.0]], ('and tell us howwe did today.', 0.9267427325248718)], [[[168.0, 152.0], [395.0, 153.0], [395.0, 171.0], [168.0, 169.0]], ('You will need this receipt to enter', 0.9155275821685791)], [[[168.0, 174.0], [396.0, 180.0], [395.0, 215.0], [167.0, 209.0]], ('Morrisons', 0.9968607425689697)], [[[176.0, 230.0], [380.0, 230.0], [380.0, 244.0], [176.0, 244.0]], ('Narrisons Supernarkets p1c BD3 7DL', 0.9132853746414185)], [[[212.0, 250.0], [344.0, 250.0], [344.0, 263.0], [212.0, 263.0]], ('Hadleigh-01473827021', 0.9719025492668152)], [[[207.0, 270.0], [340.0, 270.0], [340.0, 284.0], [207.0, 284.0]], ('Nanager :David Weynan', 0.9408129453659058)], [[[230.0, 289.0], [327.0, 289.0], [327.0, 303.0], [230.0, 303.0]], ('VAT No.343475355', 0.9606695175170898)], [[[120.0, 305.0], [213.0, 307.0], [212.0, 323.0], [119.0, 320.0]], ('QTY DESCRIPTION', 0.9484197497367859)], [[[343.0, 307.0], [377.0, 307.0], [377.0, 323.0], [343.0, 323.0]], ('PRICE', 0.9983289837837219)], [[[398.0, 305.0], [439.0, 305.0], [439.0, 324.0], [398.0, 324.0]], ('AMOUNT', 0.9802321791648865)], [[[131.0, 326.0], [241.0, 327.0], [241.0, 342.0], [131.0, 341.0]], ('1M WHOLEMEAL LOAF', 0.9194086194038391)], [[[343.0, 327.0], [376.0, 327.0], [376.0, 342.0], [343.0, 342.0]], ('0.50', 0.9916406869888306)], [[[398.0, 327.0], [445.0, 327.0], [445.0, 342.0], [398.0, 342.0]], ('0.50F', 0.9844148755073547)], [[[131.0, 345.0], [230.0, 346.0], [230.0, 361.0], [131.0, 360.0]], ('1DOUSLE CREAM', 0.9044322967529297)], [[[343.0, 346.0], [377.0, 346.0], [377.0, 361.0], [343.0, 361.0]], ('0.84', 0.9834496974945068)], [[[398.0, 346.0], [444.0, 346.0], [444.0, 361.0], [398.0, 361.0]], ('0.84D', 0.9531855583190918)], [[[129.0, 362.0], [225.0, 365.0], [225.0, 382.0], [128.0, 380.0]], ('1N CARROTS 1KG', 0.9049091339111328)], [[[343.0, 365.0], [377.0, 365.0], [377.0, 383.0], [343.0, 383.0]], ('0.47', 0.9897760152816772)], [[[398.0, 365.0], [444.0, 365.0], [444.0, 381.0], [398.0, 381.0]], ('0.47F', 0.982746958732605)], [[[129.0, 382.0], [208.0, 384.0], [207.0, 401.0], [128.0, 399.0]], ('1MBROCCOLI', 0.9015210270881653)], [[[343.0, 386.0], [377.0, 386.0], [377.0, 401.0], [343.0, 401.0]], ('0.38', 0.9924592971801758)], [[[398.0, 386.0], [444.0, 386.0], [444.0, 401.0], [398.0, 401.0]], ('0.38F', 0.9723860621452332)], [[[141.0, 403.0], [212.0, 403.0], [212.0, 421.0], [141.0, 421.0]], ('BALANCE DUE', 0.9746236205101013)], [[[397.0, 404.0], [432.0, 404.0], [432.0, 423.0], [397.0, 423.0]], ('2.19', 0.9926409125328064)], [[[141.0, 424.0], [170.0, 424.0], [170.0, 440.0], [141.0, 440.0]], ('Card', 0.9913396835327148)], [[[397.0, 423.0], [432.0, 423.0], [432.0, 441.0], [397.0, 441.0]], ('2.19', 0.9889984130859375)], [[[178.0, 443.0], [223.0, 443.0], [223.0, 457.0], [178.0, 457.0]], ('PAYNENT', 0.9438667297363281)], [[[105.0, 459.0], [129.0, 459.0], [129.0, 477.0], [105.0, 477.0]], ('AID', 0.9577191472053528)], [[[207.0, 459.0], [309.0, 462.0], [309.0, 479.0], [206.0, 477.0]], ('0000000031010', 0.9503718018531799)], [[[141.0, 479.0], [292.0, 480.0], [292.0, 497.0], [141.0, 496.0]], ('ation Nane Visa Credit', 0.9340522289276123)], [[[145.0, 499.0], [175.0, 499.0], [175.0, 516.0], [145.0, 516.0]], ('nber', 0.9272927045822144)], [[[209.0, 500.0], [319.0, 500.0], [319.0, 514.0], [209.0, 514.0]], ('**********0043', 0.9086177349090576)], [[[120.0, 515.0], [172.0, 518.0], [172.0, 536.0], [119.0, 534.0]], ('Date', 0.7834845185279846)], [[[208.0, 520.0], [248.0, 520.0], [248.0, 535.0], [208.0, 535.0]], ('0116', 0.9925322532653809)], [[[108.0, 539.0], [180.0, 539.0], [180.0, 553.0], [108.0, 553.0]], ('Issue Nunber', 0.9564213752746582)], [[[208.0, 538.0], [237.0, 538.0], [237.0, 554.0], [208.0, 554.0]], ('02', 0.9911924600601196)], [[[108.0, 555.0], [176.0, 558.0], [176.0, 575.0], [107.0, 573.0]], ('Data Source', 0.929482102394104)], [[[208.0, 558.0], [241.0, 558.0], [241.0, 574.0], [208.0, 574.0]], ('ICC', 0.9841707348823547)], [[[107.0, 575.0], [265.0, 577.0], [265.0, 594.0], [106.0, 592.0]], ('Merchant Nunber 8763567', 0.9390463829040527)], [[[108.0, 596.0], [175.0, 596.0], [175.0, 610.0], [108.0, 610.0]], ('Terminel ID', 0.8467527627944946)], [[[208.0, 598.0], [270.0, 598.0], [270.0, 612.0], [208.0, 612.0]], ('27868524', 0.9894868731498718)], [[[108.0, 616.0], [193.0, 616.0], [193.0, 630.0], [108.0, 630.0]], ('Transaction ID', 0.9466658234596252)], [[[205.0, 616.0], [259.0, 616.0], [259.0, 633.0], [205.0, 633.0]], ('309873', 0.990806519985199)], [[[107.0, 632.0], [189.0, 634.0], [188.0, 651.0], [106.0, 649.0]], ('Authorisation', 0.9639559984207153)], [[[208.0, 637.0], [288.0, 637.0], [288.0, 651.0], [208.0, 651.0]], ('11085257', 0.9878560900688171)], [[[106.0, 652.0], [165.0, 652.0], [165.0, 670.0], [106.0, 670.0]], ('Exp.Date', 0.9643483757972717)], [[[207.0, 654.0], [247.0, 654.0], [247.0, 673.0], [207.0, 673.0]], ('0119', 0.9927865862846375)], [[[106.0, 671.0], [200.0, 673.0], [199.0, 690.0], [105.0, 688.0]], ('Verified by PIN', 0.9121416807174683)], [[[142.0, 691.0], [182.0, 691.0], [182.0, 709.0], [142.0, 709.0]], ('CHANGE', 0.9972033500671387)], [[[393.0, 695.0], [428.0, 695.0], [428.0, 714.0], [393.0, 714.0]], ('0.00', 0.9860547780990601)], [[[141.0, 711.0], [238.0, 714.0], [238.0, 728.0], [141.0, 726.0]], ('Number of itens:', 0.9491792321205139)], [[[416.0, 716.0], [428.0, 716.0], [428.0, 732.0], [416.0, 732.0]], ('4', 0.9890717267990112)], [[[402.0, 739.0], [443.0, 739.0], [443.0, 749.0], [402.0, 749.0]], ('***', 0.9173611998558044)], [[[159.0, 749.0], [383.0, 753.0], [383.0, 771.0], [159.0, 767.0]], ('Today you could have earned 10 points', 0.9554683566093445)], [[[122.0, 788.0], [426.0, 793.0], [425.0, 811.0], [121.0, 805.0]], ('Our Match & More Terns and Conditions have changed', 0.9276512265205383)], [[[151.0, 807.0], [396.0, 813.0], [396.0, 830.0], [151.0, 825.0]], ('For nore details visit vuu.morrisons.con', 0.9162424206733704)], [[[108.0, 828.0], [443.0, 834.0], [442.0, 848.0], [107.0, 842.0]], ('****', 0.519838273525238)], [[[163.0, 847.0], [376.0, 850.0], [376.0, 868.0], [163.0, 865.0]], ('Your Survey Entry No:62004710170071', 0.9490565657615662)], [[[123.0, 867.0], [397.0, 870.0], [397.0, 887.0], [122.0, 884.0]], ('13/02/201611:16:17004710170071', 0.9706062078475952)], [[[391.0, 874.0], [416.0, 874.0], [416.0, 886.0], [391.0, 886.0]], ('0041', 0.9883239269256592)], [[[140.0, 885.0], [405.0, 889.0], [405.0, 908.0], [140.0, 903.0]], ('THANK YOU FOR SHOPPING', 0.9522941708564758)], [[[199.0, 906.0], [344.0, 909.0], [344.0, 926.0], [198.0, 924.0]], ('AT MORRISONS', 0.9578636288642883)]]	{"store_name": "Morrisons", "store_addr": "MorrisonsSupermarketsplcBD37DL Hadleigh-01473827021", "telephone": "", "date": "13/02/2016", "time": "11:16:17", "subtotal": "", "tax": "", "total": "\u00a32.19 \u00a32.19", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MWHOLEMEALOAF", "item_value": "\u00a30.50", "item_quantity": "1"}, {"item_key": "", "item_name": "MDOUSLECREAM", "item_value": "\u00a30.84", "item_quantity": "1"}, {"item_key": "", "item_name": "MCARROTS1KG", "item_value": "\u00a30.47", "item_quantity": "1"}, {"item_key": "", "item_name": "MBROCCOLI", "item_value": "\u00a30.38", "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	[[[[596.0, 25.0], [1690.0, 4.0], [1694.0, 208.0], [599.0, 229.0]], ('Walmart', 0.988461971282959)], [[[611.0, 265.0], [1691.0, 188.0], [1698.0, 279.0], [617.0, 356.0]], ('Save money.Live better.', 0.9629969596862793)], [[[860.0, 438.0], [1687.0, 386.0], [1692.0, 467.0], [865.0, 518.0]], ('701867-2440', 0.9299539923667908)], [[[741.0, 539.0], [1787.0, 475.0], [1792.0, 547.0], [746.0, 612.0]], ('MANAGER YVONNE CRAWFORD', 0.9553272128105164)], [[[836.0, 619.0], [1747.0, 566.0], [1751.0, 630.0], [840.0, 684.0]], ('3000 E FRANKLIN BLVD', 0.9179808497428894)], [[[884.0, 694.0], [1658.0, 655.0], [1662.0, 730.0], [888.0, 769.0]], ('GAST0NIA NC 28056', 0.9356083869934082)], [[[450.0, 799.0], [2206.0, 711.0], [2210.0, 794.0], [454.0, 882.0]], ('ST1385 0P 00007225 TE06 TR#08994', 0.9224072098731995)], [[[1867.0, 820.0], [2225.0, 805.0], [2229.0, 882.0], [1871.0, 898.0]], ('14.98-X', 0.9121491312980652)], [[[458.0, 884.0], [1579.0, 831.0], [1583.0, 914.0], [462.0, 967.0]], ('HP920XLMAG 088442073678', 0.9595593810081482)], [[[472.0, 1047.0], [1599.0, 1008.0], [1602.0, 1083.0], [474.0, 1122.0]], (' FREE SHOPPING CARD', 0.9185783267021179)], [[[1886.0, 1082.0], [2230.0, 1067.0], [2234.0, 1150.0], [1890.0, 1165.0]], ('10.000', 0.9900267720222473)], [[[505.0, 1119.0], [878.0, 1119.0], [878.0, 1204.0], [505.0, 1204.0]], ('HOP.CARD', 0.8594503998756409)], [[[1047.0, 1111.0], [1600.0, 1100.0], [1602.0, 1175.0], [1049.0, 1186.0]], ('087458601715', 0.9827086925506592)], [[[1891.0, 1169.0], [2239.0, 1146.0], [2245.0, 1240.0], [1897.0, 1262.0]], ('10.00-0', 0.9941025376319885)], [[[1053.0, 1194.0], [1606.0, 1185.0], [1607.0, 1268.0], [1054.0, 1277.0]], ('060538801240', 0.9014063477516174)], [[[489.0, 1212.0], [664.0, 1212.0], [664.0, 1282.0], [489.0, 1282.0]], ('PD', 0.518165111541748)], [[[1902.0, 1337.0], [2159.0, 1323.0], [2164.0, 1428.0], [1908.0, 1442.0]], ('14.98', 0.9813739061355591)], [[[1285.0, 1349.0], [1665.0, 1346.0], [1666.0, 1442.0], [1286.0, 1446.0]], ('SUBTOTAL', 0.995189905166626)]]	{"store_name": "", "store_addr": "GASTONIANC28056 3000EFRANKLINBLVD", "telephone": "(704)867-2440", "date": "", "time": "", "subtotal": "14.98", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "-HP920XLMAG088442073678", "item_value": "14.98X", "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, 29.0], [208.0, 29.0], [208.0, 43.0], [111.0, 43.0]], ('Morrisons', 0.9791100025177002)], [[[117.0, 60.0], [199.0, 58.0], [199.0, 71.0], [117.0, 73.0]], ('9099110-', 0.5498207807540894)], [[[121.0, 71.0], [190.0, 70.0], [190.0, 81.0], [121.0, 82.0]], ('RT No.343475355', 0.8806709051132202)], [[[52.0, 92.0], [122.0, 93.0], [122.0, 105.0], [52.0, 103.0]], ('Teble er31', 0.7163201570510864)], [[[51.0, 103.0], [184.0, 103.0], [184.0, 117.0], [51.0, 117.0]], ('Order tine05/12/2016 10:04:27', 0.8923067450523376)], [[[50.0, 116.0], [191.0, 116.0], [191.0, 129.0], [50.0, 129.0]], ('Paynent tine05/12/201610:04:27', 0.9254418611526489)], [[[55.0, 129.0], [116.0, 129.0], [116.0, 140.0], [55.0, 140.0]], ('QTY DESCRIPTION', 0.9615176916122437)], [[[200.0, 127.0], [223.0, 127.0], [223.0, 138.0], [200.0, 138.0]], ('PRICE', 0.9980074167251587)], [[[234.0, 135.0], [269.0, 138.0], [268.0, 152.0], [233.0, 149.0]], ('0.00A', 0.7924372553825378)], [[[235.0, 127.0], [263.0, 127.0], [263.0, 138.0], [235.0, 138.0]], ('SMOUNT', 0.8473644852638245)], [[[60.0, 140.0], [152.0, 140.0], [152.0, 153.0], [60.0, 153.0]], ('1 Create Oun Breakfast', 0.9203149676322937)], [[[200.0, 139.0], [223.0, 139.0], [223.0, 150.0], [200.0, 150.0]], ('FO.00', 0.7655609846115112)], [[[200.0, 151.0], [224.0, 151.0], [224.0, 162.0], [200.0, 162.0]], ('0.70', 0.9855204224586487)], [[[235.0, 147.0], [269.0, 150.0], [268.0, 164.0], [234.0, 161.0]], ('2.10A', 0.882221519947052)], [[[59.0, 164.0], [126.0, 164.0], [126.0, 175.0], [59.0, 175.0]], ('1-NUSHROONS', 0.856135368347168)], [[[200.0, 163.0], [224.0, 163.0], [224.0, 174.0], [200.0, 174.0]], ('0.60', 0.901474118232727)], [[[237.0, 163.0], [270.0, 163.0], [270.0, 174.0], [237.0, 174.0]], ('0.60A', 0.9586753845214844)], [[[58.0, 176.0], [126.0, 176.0], [126.0, 187.0], [58.0, 187.0]], ('1-FRIED EGS', 0.7954182028770447)], [[[201.0, 175.0], [225.0, 175.0], [225.0, 186.0], [201.0, 186.0]], ('0.60', 0.971875786781311)], [[[237.0, 175.0], [271.0, 175.0], [271.0, 186.0], [237.0, 186.0]], ('0.60A', 0.9535061120986938)], [[[57.0, 189.0], [142.0, 189.0], [142.0, 199.0], [57.0, 199.0]], ('1 nt Tosst 2 Slices', 0.8055902719497681)], [[[201.0, 187.0], [225.0, 187.0], [225.0, 199.0], [201.0, 199.0]], ('E0.80', 0.8582541346549988)], [[[238.0, 187.0], [273.0, 187.0], [273.0, 198.0], [238.0, 198.0]], ('0.80', 0.8347152471542358)], [[[56.0, 201.0], [111.0, 201.0], [111.0, 212.0], [56.0, 212.0]], ('1 Large Fizzy', 0.9096336960792542)], [[[201.0, 199.0], [228.0, 199.0], [228.0, 212.0], [201.0, 212.0]], ('1.45', 0.9783901572227478)], [[[238.0, 199.0], [273.0, 199.0], [273.0, 210.0], [238.0, 210.0]], ('1.45A', 0.9177367091178894)], [[[62.0, 213.0], [111.0, 213.0], [111.0, 224.0], [62.0, 224.0]], ('BALANCE DUE', 0.9592931270599365)], [[[240.0, 212.0], [265.0, 212.0], [265.0, 224.0], [240.0, 224.0]], ('5.55', 0.9920933246612549)], [[[60.0, 226.0], [83.0, 226.0], [83.0, 238.0], [60.0, 238.0]], ('Cash', 0.8671672940254211)], [[[240.0, 225.0], [267.0, 225.0], [267.0, 238.0], [240.0, 238.0]], ('7.00', 0.9831613302230835)], [[[59.0, 238.0], [90.0, 238.0], [90.0, 252.0], [59.0, 252.0]], ('CHANGE', 0.9936544895172119)], [[[241.0, 238.0], [268.0, 238.0], [268.0, 251.0], [241.0, 251.0]], ('1.45', 0.988900363445282)], [[[58.0, 252.0], [129.0, 254.0], [128.0, 265.0], [58.0, 263.0]], ('Nunber of itens:', 0.8952388763427734)], [[[259.0, 253.0], [268.0, 253.0], [268.0, 262.0], [259.0, 262.0]], ('8', 0.8973090648651123)], [[[33.0, 267.0], [282.0, 267.0], [282.0, 277.0], [33.0, 277.0]], ('*****************************************************', 0.7982239723205566)], [[[60.0, 280.0], [252.0, 280.0], [252.0, 293.0], [60.0, 293.0]], ('Today you could have earned 25 More Points', 0.9355576634407043)], [[[49.0, 312.0], [257.0, 312.0], [257.0, 322.0], [49.0, 322.0]], ('For nore details visit wuu.norrisons.con/nore', 0.9204062819480896)], [[[25.0, 327.0], [286.0, 327.0], [286.0, 338.0], [25.0, 338.0]], ('******************************************************', 0.9591715931892395)], [[[67.0, 341.0], [235.0, 341.0], [235.0, 354.0], [67.0, 354.0]], ('Your Survey Entry No:62001381430083', 0.9457420110702515)], [[[35.0, 359.0], [239.0, 359.0], [239.0, 372.0], [35.0, 372.0]], ('05/12/201610:04:27001381430083', 0.9729406833648682)], [[[248.0, 361.0], [270.0, 361.0], [270.0, 372.0], [248.0, 372.0]], ('0273', 0.9966123700141907)], [[[97.0, 374.0], [208.0, 375.0], [208.0, 389.0], [97.0, 388.0]], ('Kids eat FREE fron 3pn', 0.9374856948852539)], [[[83.0, 391.0], [219.0, 393.0], [219.0, 407.0], [83.0, 405.0]], ('One free kids neal uith eny', 0.9144942164421082)], [[[54.0, 408.0], [249.0, 410.0], [249.0, 424.0], [54.0, 422.0]], ('aduit hot neal over 4.50) in the cafe', 0.8936842083930969)], [[[82.0, 425.0], [218.0, 427.0], [218.0, 441.0], [82.0, 439.0]], ('VE HOPE YOU ENJOY YOUR HEAL', 0.9109835624694824)]]	{"store_name": "Morrisons", "store_addr": "MorrisonsSupermarketsplc80370", "telephone": "01514855406", "date": "05/12/2016 05/12/2016 05/12/2016", "time": "10:04:27 10:04:27 10:04:27", "subtotal": "", "tax": "", "total": "\u00a35.55", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CreateOwnBreakfast", "item_value": "\u00a30.00A", "item_quantity": "1"}, {"item_key": "", "item_name": "-->BACON", "item_value": "\u00a32.10A", "item_quantity": "1"}, {"item_key": "", "item_name": "-->MUSHROOMS", "item_value": "\u00a30.60A", "item_quantity": "1"}, {"item_key": "", "item_name": "-->FRIEOEGG", "item_value": "\u00a30.60A", "item_quantity": "1"}, {"item_key": "", "item_name": "BhtToast2Slices", "item_value": "\u00a30.80A", "item_quantity": "1"}, {"item_key": "", "item_name": "LorgeFizzy", "item_value": "\u00a31.45A", "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	[[[[998.0, 198.0], [1024.0, 196.0], [1032.0, 304.0], [1006.0, 306.0]], ('VOIR', 0.9385800361633301)], [[[297.0, 301.0], [456.0, 309.0], [454.0, 332.0], [296.0, 325.0]], ('eongeelensb.noi', 0.6789121627807617)], [[[1006.0, 303.0], [1032.0, 304.0], [1028.0, 417.0], [1002.0, 416.0]], ('SEE BACK', 0.9500060081481934)], [[[305.0, 333.0], [406.0, 333.0], [406.0, 352.0], [305.0, 352.0]], ('G noilsbilay', 0.6881189942359924)], [[[302.0, 357.0], [424.0, 357.0], [424.0, 380.0], [302.0, 380.0]], ('euojtasb', 0.5917384624481201)], [[[424.0, 350.0], [884.0, 341.0], [885.0, 386.0], [425.0, 395.0]], ('WENDYS REG3', 0.9511792659759521)], [[[307.0, 391.0], [486.0, 395.0], [485.0, 430.0], [307.0, 426.0]], ('2014-07-22', 0.9949429631233215)], [[[620.0, 395.0], [695.0, 395.0], [695.0, 433.0], [620.0, 433.0]], ('L4T3', 0.9975724220275879)], [[[809.0, 394.0], [1002.0, 383.0], [1005.0, 419.0], [811.0, 431.0]], ('02:20:30PM', 0.9476903080940247)], [[[1007.0, 412.0], [1031.0, 412.0], [1028.0, 650.0], [1004.0, 650.0]], ('VOIRAUVERSO', 0.9770259857177734)], [[[306.0, 440.0], [457.0, 447.0], [456.0, 470.0], [305.0, 463.0]], ('bllsy toneltalto', 0.6496505737304688)], [[[527.0, 440.0], [789.0, 440.0], [789.0, 473.0], [527.0, 473.0]], ('6010643933113', 0.9982982873916626)], [[[306.0, 466.0], [447.0, 472.0], [446.0, 495.0], [305.0, 490.0]], ('apiev0eodm', 0.555914044380188)], [[[505.0, 482.0], [811.0, 482.0], [811.0, 517.0], [505.0, 517.0]], ('731 EASTERN AVENUE', 0.9528522491455078)], [[[564.0, 525.0], [753.0, 525.0], [753.0, 560.0], [564.0, 560.0]], ('TORONTOON', 0.9900550842285156)], [[[433.0, 612.0], [884.0, 607.0], [885.0, 642.0], [433.0, 647.0]], ('* Order Was Modif ied ', 0.9444408416748047)], [[[1004.0, 636.0], [1036.0, 635.0], [1062.0, 1363.0], [1030.0, 1364.0]], ('VOIR AUVERSO SEE BACK VOIR AUVERSO SEE BACK', 0.9042806625366211)], [[[545.0, 657.0], [736.0, 651.0], [737.0, 685.0], [546.0, 690.0]], ('After Tota', 0.9592116475105286)], [[[830.0, 653.0], [886.0, 653.0], [886.0, 682.0], [830.0, 682.0]], ('**', 0.9787243008613586)], [[[401.0, 695.0], [607.0, 695.0], [607.0, 730.0], [401.0, 730.0]], ('DOUBLE COMBO', 0.9568901062011719)], [[[840.0, 686.0], [924.0, 681.0], [926.0, 724.0], [842.0, 729.0]], ('7.69', 0.9926382899284363)], [[[399.0, 740.0], [555.0, 736.0], [556.0, 773.0], [400.0, 777.0]], ('ROOT BEER', 0.9687036871910095)], [[[452.0, 780.0], [557.0, 780.0], [557.0, 817.0], [452.0, 817.0]], ('NO ICE', 0.9297862648963928)], [[[845.0, 812.0], [927.0, 812.0], [927.0, 855.0], [845.0, 855.0]], ('1.09', 0.9905081391334534)], [[[399.0, 824.0], [623.0, 818.0], [624.0, 853.0], [399.0, 859.0]], ('LARGE COMBO', 0.958520770072937)], [[[847.0, 857.0], [927.0, 857.0], [927.0, 895.0], [847.0, 895.0]], ('7.79', 0.994269847869873)], [[[399.0, 867.0], [637.0, 861.0], [638.0, 896.0], [399.0, 902.0]], ('BACDLX SGL-CMB', 0.9582954049110413)], [[[448.0, 907.0], [687.0, 903.0], [687.0, 938.0], [449.0, 942.0]], ('NO ADD REG CHZ', 0.9239925742149353)], [[[399.0, 950.0], [503.0, 950.0], [503.0, 987.0], [399.0, 987.0]], ('ORANGE', 0.9977946281433105)], [[[513.0, 993.0], [796.0, 990.0], [796.0, 1025.0], [513.0, 1028.0]], (' Modif ied ', 0.905131995677948)], [[[395.0, 1037.0], [636.0, 1037.0], [636.0, 1072.0], [395.0, 1072.0]], ('MEDIUM COMBO', 0.9628437161445618)], [[[849.0, 1035.0], [934.0, 1035.0], [934.0, 1078.0], [849.0, 1078.0]], ('0.69', 0.994313657283783)], [[[389.0, 1078.0], [447.0, 1078.0], [447.0, 1118.0], [389.0, 1118.0]], ('HST', 0.9630975127220154)], [[[851.0, 1080.0], [936.0, 1080.0], [936.0, 1125.0], [851.0, 1125.0]], ('2.24', 0.9915528297424316)], [[[389.0, 1121.0], [583.0, 1125.0], [582.0, 1165.0], [388.0, 1161.0]], ('0 00*', 0.8961060643196106)], [[[838.0, 1126.0], [938.0, 1131.0], [936.0, 1174.0], [836.0, 1169.0]], ('19.50', 0.9947099685668945)], [[[388.0, 1166.0], [616.0, 1172.0], [615.0, 1212.0], [387.0, 1206.0]], ('AMOUNT TENDER', 0.9783836603164673)], [[[837.0, 1177.0], [938.0, 1177.0], [938.0, 1220.0], [837.0, 1220.0]], ('20.00', 0.9959551095962524)], [[[385.0, 1213.0], [560.0, 1219.0], [558.0, 1260.0], [383.0, 1255.0]], ('CHANGE DUE', 0.9636292457580566)], [[[852.0, 1227.0], [939.0, 1227.0], [939.0, 1270.0], [852.0, 1270.0]], ('0.50', 0.9931882619857788)], [[[442.0, 1265.0], [870.0, 1279.0], [868.0, 1317.0], [441.0, 1303.0]], ('Vat No.HST R105619688', 0.948888897895813)], [[[471.0, 1315.0], [831.0, 1327.0], [829.0, 1367.0], [470.0, 1355.0]], ('How was your visit?', 0.9512476921081543)], [[[417.0, 1358.0], [890.0, 1377.0], [888.0, 1422.0], [415.0, 1403.0]], ('Ca11 us at 416465-9904', 0.9549522995948792)], [[[525.0, 1414.0], [776.0, 1427.0], [774.0, 1469.0], [523.0, 1456.0]], ('Total Items 6', 0.9598948955535889)], [[[1030.0, 1411.0], [1056.0, 1413.0], [1048.0, 1526.0], [1022.0, 1524.0]], ('SEE BACK', 0.9431459903717041)]]	{"store_name": "WENDY'SREG3", "store_addr": "731EASTERNAVENUE TORONTO,ON", "telephone": "", "date": "2014-07-22", "time": "02:20:30PM", "subtotal": "", "tax": "2.24", "total": "19.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DOUBLECOMBO", "item_value": "7.69", "item_quantity": "1"}, {"item_key": "", "item_name": "ROOTBEER", "item_value": "1.09", "item_quantity": "1"}, {"item_key": "", "item_name": "NOICE", "item_value": "7.79", "item_quantity": "1"}, {"item_key": "", "item_name": "LARGECOMBO", "item_value": "0.69", "item_quantity": "1"}, {"item_key": "", "item_name": "BACDLXSGL-CMB", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ORANGE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MEDIUMCOMBO", "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, 136.0], [382.0, 142.0], [382.0, 167.0], [171.0, 161.0]], ('HOTSHINE', 0.9264351725578308)], [[[80.0, 198.0], [461.0, 202.0], [461.0, 224.0], [79.0, 220.0]], ('CAR WASH &LUBE CENTERS', 0.9316454529762268)], [[[133.0, 247.0], [411.0, 250.0], [411.0, 274.0], [133.0, 271.0]], ('Mister Car Wash 002/102', 0.9498562216758728)], [[[185.0, 276.0], [366.0, 279.0], [365.0, 304.0], [185.0, 301.0]], ('1038 Gessner Rd', 0.9565389156341553)], [[[171.0, 305.0], [377.0, 308.0], [377.0, 335.0], [170.0, 331.0]], ('HoustonTX77055', 0.9872397780418396)], [[[208.0, 335.0], [352.0, 338.0], [352.0, 363.0], [208.0, 360.0]], ('713-461-0541', 0.9833297729492188)], [[[544.0, 338.0], [560.0, 338.0], [560.0, 352.0], [544.0, 352.0]], ('la', 0.6826359033584595)], [[[32.0, 395.0], [165.0, 395.0], [165.0, 420.0], [32.0, 420.0]], ('002-wCash2', 0.9471701383590698)], [[[307.0, 397.0], [520.0, 397.0], [520.0, 419.0], [307.0, 419.0]], ('02/20/1604:39PM', 0.9795448184013367)], [[[31.0, 425.0], [268.0, 426.0], [267.0, 451.0], [31.0, 450.0]], ('Shift 1Emp1 1539,', 0.8882664442062378)], [[[307.0, 427.0], [520.0, 427.0], [520.0, 449.0], [307.0, 449.0]], ('Sale# 73583514882', 0.9541199803352356)], [[[108.0, 487.0], [270.0, 484.0], [271.0, 509.0], [109.0, 512.0]], ('1Final Touch', 0.9056043028831482)], [[[449.0, 482.0], [512.0, 482.0], [512.0, 509.0], [449.0, 509.0]], ('39.99', 0.9969188570976257)], [[[109.0, 516.0], [280.0, 513.0], [280.0, 538.0], [110.0, 541.0]], ('1 Dissolve-A11', 0.9058327078819275)], [[[450.0, 512.0], [513.0, 512.0], [513.0, 539.0], [450.0, 539.0]], ('20.00', 0.9943153262138367)], [[[108.0, 548.0], [342.0, 544.0], [342.0, 569.0], [109.0, 573.0]], ('1 Lube Wash Coupon*', 0.9370036125183105)], [[[440.0, 543.0], [514.0, 543.0], [514.0, 569.0], [440.0, 569.0]], ('~13.99', 0.9410126805305481)], [[[133.0, 578.0], [378.0, 574.0], [378.0, 599.0], [134.0, 603.0]], ('Lube Free WashBal:', 0.9175278544425964)], [[[487.0, 571.0], [514.0, 571.0], [514.0, 601.0], [487.0, 601.0]], ('0)', 0.9504204988479614)], [[[280.0, 635.0], [383.0, 632.0], [383.0, 661.0], [280.0, 664.0]], ('Subtotal', 0.9944223165512085)], [[[454.0, 634.0], [517.0, 631.0], [518.0, 659.0], [455.0, 662.0]], ('46.00', 0.9946042895317078)], [[[272.0, 668.0], [384.0, 668.0], [384.0, 694.0], [272.0, 694.0]], ('Sa les Tax', 0.9255954027175903)], [[[465.0, 664.0], [519.0, 664.0], [519.0, 692.0], [465.0, 692.0]], ('0.00', 0.9972481727600098)], [[[318.0, 697.0], [384.0, 697.0], [384.0, 727.0], [318.0, 727.0]], ('Total', 0.9967347979545593)], [[[454.0, 696.0], [518.0, 693.0], [519.0, 721.0], [455.0, 723.0]], ('46.00', 0.996181309223175)], [[[456.0, 757.0], [519.0, 754.0], [520.0, 782.0], [457.0, 785.0]], ('46.00', 0.9981058239936829)], [[[129.0, 769.0], [259.0, 762.0], [261.0, 790.0], [130.0, 797.0]], ('AMEXx2526', 0.9898498058319092)], [[[132.0, 802.0], [466.0, 788.0], [467.0, 813.0], [133.0, 827.0]], ('Sa1e Appr # 344020:284179', 0.9138658046722412)], [[[133.0, 835.0], [368.0, 825.0], [369.0, 850.0], [134.0, 860.0]], ('Merchant # 196026)', 0.9309056401252747)], [[[167.0, 896.0], [371.0, 886.0], [372.0, 914.0], [168.0, 924.0]], ('Car#630', 0.9941688179969788)], [[[158.0, 964.0], [411.0, 950.0], [413.0, 975.0], [159.0, 989.0]], ('Customer#DCN3468-TX', 0.9847851991653442)]]	{"store_name": "IVUSIGT HOTSHINE", "store_addr": "1038GessnerRd Houston,TX77055", "telephone": "713-461-0541", "date": "02/20/16,", "time": "04:39PM", "subtotal": "46.00", "tax": "0.00", "total": "46.00 46.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FinalTouch", "item_value": "39.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Dissolve-All", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LubeWashCoupon*", "item_value": "-13.99", "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	[[[[242.0, 9.0], [451.0, 4.0], [451.0, 32.0], [243.0, 37.0]], ('JOHNNY ROCKETS', 0.955424964427948)], [[[240.0, 44.0], [436.0, 40.0], [436.0, 69.0], [241.0, 72.0]], ('PACIFIC PLACE', 0.9717625379562378)], [[[255.0, 81.0], [421.0, 78.0], [421.0, 107.0], [256.0, 111.0]], ('600 pine st', 0.9066855907440186)], [[[211.0, 119.0], [462.0, 114.0], [463.0, 144.0], [212.0, 148.0]], ('Seattle,W4 98101', 0.9300875663757324)], [[[33.0, 197.0], [238.0, 197.0], [238.0, 222.0], [33.0, 222.0]], ('Server: Marcos', 0.9314929246902466)], [[[511.0, 188.0], [665.0, 184.0], [666.0, 216.0], [511.0, 220.0]], ('0222/2014', 0.9967371821403503)], [[[30.0, 231.0], [137.0, 231.0], [137.0, 261.0], [30.0, 261.0]], ('Patio/1', 0.983690619468689)], [[[549.0, 224.0], [667.0, 224.0], [667.0, 256.0], [549.0, 256.0]], ('1:15AM', 0.9164088368415833)], [[[28.0, 268.0], [166.0, 265.0], [167.0, 298.0], [28.0, 300.0]], ('Guests:1', 0.958725094795227)], [[[480.0, 302.0], [660.0, 299.0], [661.0, 328.0], [480.0, 331.0]], ('#10003', 0.9785571098327637)], [[[28.0, 340.0], [302.0, 336.0], [303.0, 369.0], [28.0, 372.0]], ('Order Type: ORDER', 0.9341123700141907)], [[[26.0, 411.0], [196.0, 414.0], [195.0, 445.0], [25.0, 443.0]], ('Smoke House', 0.9491884112358093)], [[[597.0, 406.0], [666.0, 406.0], [666.0, 442.0], [597.0, 442.0]], ('9.29', 0.9959069490432739)], [[[56.0, 448.0], [136.0, 450.0], [135.0, 482.0], [55.0, 479.0]], ('Fries', 0.9958359003067017)], [[[27.0, 488.0], [223.0, 488.0], [223.0, 517.0], [27.0, 517.0]], ('Bacon Cheddar', 0.9490620493888855)], [[[600.0, 481.0], [669.0, 481.0], [669.0, 516.0], [600.0, 516.0]], ('9.19', 0.9956060647964478)], [[[55.0, 524.0], [134.0, 524.0], [134.0, 555.0], [55.0, 555.0]], ('Fries', 0.9982061386108398)], [[[25.0, 562.0], [251.0, 562.0], [251.0, 591.0], [25.0, 591.0]], ('Chocolate Shake', 0.9728702902793884)], [[[603.0, 557.0], [669.0, 557.0], [669.0, 590.0], [603.0, 590.0]], ('4.99', 0.9933050274848938)], [[[18.0, 598.0], [88.0, 598.0], [88.0, 633.0], [18.0, 633.0]], ('Coke', 0.9917576313018799)], [[[602.0, 592.0], [672.0, 595.0], [670.0, 631.0], [600.0, 628.0]], ('2.69', 0.9866573214530945)], [[[32.0, 671.0], [146.0, 676.0], [144.0, 710.0], [31.0, 705.0]], ('4Items', 0.9935832619667053)], [[[11.0, 755.0], [139.0, 752.0], [140.0, 786.0], [12.0, 790.0]], ('Subtotal', 0.9925408959388733)], [[[591.0, 749.0], [675.0, 749.0], [675.0, 783.0], [591.0, 783.0]], ('26.16', 0.9937976002693176)], [[[10.0, 794.0], [64.0, 794.0], [64.0, 831.0], [10.0, 831.0]], ('Tax', 0.9961803555488586)], [[[606.0, 790.0], [677.0, 790.0], [677.0, 824.0], [606.0, 824.0]], ('2.49', 0.9938699007034302)], [[[9.0, 873.0], [90.0, 873.0], [90.0, 908.0], [9.0, 908.0]], ('Total', 0.995354950428009)], [[[592.0, 869.0], [679.0, 869.0], [679.0, 906.0], [592.0, 906.0]], ('28.65', 0.9935963749885559)], [[[9.0, 952.0], [229.0, 954.0], [228.0, 987.0], [8.0, 984.0]], ('Balance', 0.9926462173461914)], [[[259.0, 955.0], [354.0, 955.0], [354.0, 985.0], [259.0, 985.0]], ('Due', 0.9966497421264648)], [[[518.0, 952.0], [675.0, 952.0], [675.0, 984.0], [518.0, 984.0]], ('23.65', 0.9956004023551941)]]	{"store_name": "JOHNNYROCKETS", "store_addr": "Seattle,WA98101 600pinest PACIFICPLACE", "telephone": "", "date": "02/22/2014", "time": "11:15AM", "subtotal": "26.16", "tax": "2,49", "total": "28.65 28.65", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Coke", "item_value": "2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocolateShake", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Fries", "item_value": "9.19", "item_quantity": "1"}, {"item_key": "", "item_name": "BaconCheddar", "item_value": "9.29", "item_quantity": "1"}, {"item_key": "", "item_name": "Fries", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SmokeHouse", "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	[[[[719.0, 153.0], [1984.0, 299.0], [1972.0, 407.0], [707.0, 261.0]], ("DENNY'S GUAM", 0.9271642565727234)], [[[628.0, 874.0], [2134.0, 976.0], [2126.0, 1105.0], [620.0, 1002.0]], ('1 SIDE YOGURT do not burn', 0.9240743517875671)], [[[2698.0, 927.0], [2960.0, 913.0], [2967.0, 1038.0], [2704.0, 1052.0]], ('2.99', 0.9974015951156616)], [[[621.0, 1016.0], [1957.0, 1118.0], [1949.0, 1226.0], [613.0, 1124.0]], ('1 SIDE BREADeng muff', 0.9397398233413696)], [[[794.0, 1169.0], [1451.0, 1219.0], [1443.0, 1327.0], [786.0, 1277.0]], ('thank you:', 0.9428927302360535)], [[[2735.0, 1202.0], [3004.0, 1184.0], [3011.0, 1302.0], [2742.0, 1320.0]], ('2.39', 0.9956398010253906)], [[[576.0, 1288.0], [2219.0, 1358.0], [2212.0, 1511.0], [569.0, 1441.0]], ('1 SANTA FE SKILLET, up,MEMO', 0.8905917406082153)], [[[2761.0, 1332.0], [3036.0, 1332.0], [3036.0, 1460.0], [2761.0, 1460.0]], ('9.49', 0.992536187171936)], [[[2742.0, 1639.0], [3072.0, 1622.0], [3079.0, 1751.0], [2748.0, 1768.0]], ('14.87', 0.9959827661514282)], [[[1802.0, 1655.0], [2413.0, 1648.0], [2414.0, 1770.0], [1803.0, 1777.0]], ('Sub Total:', 0.9294269680976868)], [[[519.0, 1769.0], [2024.0, 1816.0], [2020.0, 1945.0], [516.0, 1897.0]], ('10/1711:46aT0TAL', 0.9414684772491455)], [[[2461.0, 1805.0], [3078.0, 1790.0], [3081.0, 1912.0], [2464.0, 1927.0]], ('14.87', 0.9879377484321594)], [[[449.0, 2121.0], [2873.0, 2135.0], [2873.0, 2264.0], [449.0, 2250.0]], ('PLSMAKEAPAYMENT', 0.9943075180053711)], [[[2944.0, 2128.0], [3250.0, 2128.0], [3250.0, 2243.0], [2944.0, 2243.0]], ('TC', 0.8049782514572144)], [[[602.0, 2309.0], [1105.0, 2309.0], [1105.0, 2431.0], [602.0, 2431.0]], ('THE', 0.9944332242012024)], [[[1136.0, 2305.0], [2067.0, 2305.0], [2067.0, 2424.0], [1136.0, 2424.0]], ('CASHIER', 0.9907244443893433)]]	{"store_name": "DENNY'SGUAM", "store_addr": "", "telephone": "", "date": "10/17/15 10/17", "time": "11:46a", "subtotal": "14.87", "tax": "", "total": "14.87", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SIDEYOGURT,donotburn", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SIDEBREAD,engmuff", "item_value": "2.39", "item_quantity": "1"}, {"item_key": "", "item_name": "SANTAFESKILLET,up,MEMO", "item_value": "9.49", "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	[[[[223.0, 172.0], [468.0, 162.0], [469.0, 192.0], [224.0, 202.0]], ('CTRA.N-340KM.208', 0.9650624990463257)], [[[271.0, 205.0], [421.0, 199.0], [422.0, 223.0], [272.0, 229.0]], ('TORROX-COSTA', 0.9951924681663513)], [[[174.0, 233.0], [410.0, 230.0], [410.0, 258.0], [174.0, 261.0]], ('Telefono 952532311', 0.9676713943481445)], [[[182.0, 263.0], [386.0, 261.0], [386.0, 288.0], [182.0, 290.0]], ('CIFA-46103834', 0.9944381713867188)], [[[156.0, 293.0], [435.0, 290.0], [435.0, 317.0], [156.0, 321.0]], ('P.V.P.I.V.A.INCLUIDO', 0.9634539484977722)], [[[119.0, 325.0], [416.0, 321.0], [416.0, 349.0], [120.0, 353.0]], ('11/08/201215:450P', 0.9640957117080688)], [[[445.0, 321.0], [528.0, 318.0], [529.0, 343.0], [445.0, 346.0]], ('233647', 0.9989123940467834)], [[[116.0, 355.0], [503.0, 351.0], [503.0, 380.0], [117.0, 383.0]], ('N722670CAJA:014SUP2020', 0.9670605063438416)], [[[23.0, 418.0], [410.0, 414.0], [410.0, 452.0], [23.0, 456.0]], ('PEANOTBUTTERI CREMA CACAHUET', 0.8952499032020569)], [[[486.0, 415.0], [547.0, 415.0], [547.0, 445.0], [486.0, 445.0]], ('2,58', 0.9366133213043213)], [[[15.0, 452.0], [410.0, 444.0], [411.0, 477.0], [16.0, 485.0]], ('SmoKEDSALmON1 SALMON AHUMADO', 0.8680285811424255)], [[[487.0, 449.0], [547.0, 449.0], [547.0, 479.0], [487.0, 479.0]], ('1,88', 0.9404915571212769)], [[[18.0, 479.0], [311.0, 474.0], [312.0, 509.0], [19.0, 514.0]], ('WHITESOGAR1 AZUCAR', 0.913019597530365)], [[[487.0, 481.0], [547.0, 481.0], [547.0, 511.0], [487.0, 511.0]], ('0,95', 0.9261188507080078)], [[[16.0, 509.0], [397.0, 507.0], [397.0, 542.0], [16.0, 544.0]], ('3ORANS 1 NARANJA PALOT', 0.9082138538360596)], [[[487.0, 515.0], [547.0, 515.0], [547.0, 545.0], [487.0, 545.0]], ('0,90', 0.9249997138977051)], [[[18.0, 543.0], [345.0, 538.0], [346.0, 572.0], [18.0, 577.0]], ('JAR CHICGPAS1 GARBANZOS', 0.8823064565658569)], [[[488.0, 547.0], [546.0, 547.0], [546.0, 578.0], [488.0, 578.0]], ('0,51', 0.9481900334358215)], [[[22.0, 574.0], [333.0, 573.0], [334.0, 604.0], [22.0, 605.0]], ('XAVOCADO1 AGUACATE', 0.8943758010864258)], [[[489.0, 582.0], [547.0, 579.0], [549.0, 610.0], [490.0, 613.0]], ('1,13', 0.9412120580673218)], [[[491.0, 616.0], [546.0, 616.0], [546.0, 643.0], [491.0, 643.0]], ('1,35', 0.9213085174560547)], [[[24.0, 641.0], [398.0, 641.0], [398.0, 671.0], [24.0, 671.0]], ('1xREDfPER1 PIMIENTO ROJO', 0.866235077381134)], [[[488.0, 647.0], [549.0, 647.0], [549.0, 676.0], [488.0, 676.0]], ('0,34', 0.9386789798736572)], [[[20.0, 670.0], [357.0, 674.0], [356.0, 702.0], [20.0, 698.0]], ('CHOCLAEPOWD CACAO TAZA', 0.8346065878868103)], [[[489.0, 679.0], [547.0, 679.0], [547.0, 709.0], [489.0, 709.0]], ('1,15', 0.9370495080947876)], [[[127.0, 704.0], [155.0, 704.0], [155.0, 731.0], [127.0, 731.0]], ('10', 0.9977502822875977)], [[[178.0, 707.0], [319.0, 707.0], [319.0, 731.0], [178.0, 731.0]], ('1PARKING', 0.9884851574897766)], [[[489.0, 713.0], [546.0, 713.0], [546.0, 739.0], [489.0, 739.0]], ('0,00', 0.922919750213623)], [[[178.0, 736.0], [517.0, 741.0], [517.0, 769.0], [178.0, 763.0]], ('ENTRADA 15:09SALIDA 15:45', 0.9316328167915344)], [[[115.0, 798.0], [191.0, 798.0], [191.0, 823.0], [115.0, 823.0]], ('TOTAL.', 0.9882569909095764)], [[[266.0, 798.0], [335.0, 798.0], [335.0, 827.0], [266.0, 827.0]], ('EUROS', 0.9941555261611938)], [[[479.0, 805.0], [549.0, 809.0], [547.0, 838.0], [478.0, 834.0]], ('10,79', 0.8954642415046692)], [[[117.0, 824.0], [332.0, 831.0], [331.0, 855.0], [116.0, 849.0]], ('ENTREGA....EUROS', 0.9212348461151123)], [[[478.0, 837.0], [548.0, 841.0], [546.0, 869.0], [477.0, 865.0]], ('10,79', 0.8999430537223816)]]	{"store_name": "MERCADONAS.A.", "store_addr": "CTRA.N-340,KM.208 TORROX-COSTA", "telephone": "952532311", "date": "11/08/2012", "time": "15:45 15:45", "subtotal": "", "tax": "", "total": "10,79", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CREMACACAHUET", "item_value": "2,58", "item_quantity": "1"}, {"item_key": "", "item_name": "SALMONAHUMADO", "item_value": "1,88", "item_quantity": "1"}, {"item_key": "", "item_name": "AZUCAR", "item_value": "0,95", "item_quantity": "1"}, {"item_key": "", "item_name": "NARANJAPALOT", "item_value": "0,90", "item_quantity": "1"}, {"item_key": "", "item_name": "GARBANZOS", "item_value": "0,51", "item_quantity": "1"}, {"item_key": "", "item_name": "AGUACATE", "item_value": "1,13", "item_quantity": "1"}, {"item_key": "", "item_name": "PAPELVEGETAL", "item_value": "1,35", "item_quantity": "1"}, {"item_key": "", "item_name": "PIMIENTOROJO", "item_value": "0,34", "item_quantity": "1"}, {"item_key": "", "item_name": "CACAOTAZA", "item_value": "0,15", "item_quantity": "1"}, {"item_key": "", "item_name": "PARKING", "item_value": "0,00", "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	[[[[41.0, 147.0], [450.0, 139.0], [450.0, 159.0], [42.0, 167.0]], ('Ramen Keisuke Tori King', 0.918249785900116)], [[[37.0, 169.0], [460.0, 161.0], [460.0, 182.0], [38.0, 190.0]], ('#03-15100AM100 TraSSt', 0.9309512376785278)], [[[105.0, 192.0], [388.0, 186.0], [388.0, 206.0], [105.0, 212.0]], ('Singapore 079027', 0.9433248043060303)], [[[96.0, 213.0], [392.0, 208.0], [392.0, 228.0], [96.0, 233.0]], ('Te1+6566046861', 0.99162757396698)], [[[104.0, 235.0], [389.0, 230.0], [389.0, 251.0], [104.0, 256.0]], ('R0C200922210C', 0.9490124583244324)], [[[76.0, 297.0], [231.0, 294.0], [231.0, 315.0], [76.0, 318.0]], ('TABLE:34', 0.9622944593429565)], [[[335.0, 293.0], [463.0, 291.0], [463.0, 311.0], [335.0, 313.0]], ('DINE-IN', 0.9839370846748352)], [[[41.0, 319.0], [462.0, 314.0], [462.0, 334.0], [41.0, 339.0]], ('SERVER: Admin U 3 GUESTS', 0.8994452357292175)], [[[43.0, 379.0], [159.0, 377.0], [159.0, 398.0], [43.0, 400.0]], ('Ramen Scecial', 0.8776769638061523)], [[[180.0, 376.0], [227.0, 376.0], [227.0, 398.0], [180.0, 398.0]], ('15.90', 0.9931346774101257)], [[[47.0, 402.0], [141.0, 402.0], [141.0, 420.0], [47.0, 420.0]], ('Pamen/ Egg', 0.8314595222473145)], [[[182.0, 397.0], [228.0, 397.0], [228.0, 419.0], [182.0, 419.0]], ('13.90', 0.9882392883300781)], [[[44.0, 419.0], [228.0, 417.0], [228.0, 440.0], [44.0, 442.0]], ('Ramen/Seaneed12.90', 0.9300865530967712)], [[[95.0, 462.0], [231.0, 460.0], [231.0, 480.0], [96.0, 482.0]], ('SUBTOTAL', 0.9963631629943848)], [[[373.0, 457.0], [465.0, 457.0], [465.0, 481.0], [373.0, 481.0]], ('42.69', 0.9710753560066223)], [[[93.0, 484.0], [130.0, 484.0], [130.0, 504.0], [93.0, 504.0]], ('SC', 0.8492639660835266)], [[[391.0, 480.0], [465.0, 480.0], [465.0, 502.0], [391.0, 502.0]], ('4.27', 0.9316707849502563)], [[[92.0, 505.0], [146.0, 505.0], [146.0, 527.0], [92.0, 527.0]], ('GST', 0.996722936630249)], [[[392.0, 503.0], [467.0, 503.0], [467.0, 524.0], [392.0, 524.0]], ('3.29', 0.9462109804153442)], [[[140.0, 591.0], [364.0, 591.0], [364.0, 625.0], [140.0, 625.0]], ('PAY THIS AMOUNT$50.25', 0.9383874535560608)], [[[59.0, 686.0], [450.0, 687.0], [450.0, 708.0], [59.0, 707.0]], ('ORDER NUMBER1S26S67', 0.8186416625976562)]]	{"store_name": "RamenKeisukeToriKing", "store_addr": "#03-15100AM,100TrasSt singapore079027", "telephone": "+6566046861", "date": "2013/05/21", "time": "", "subtotal": "42.69", "tax": "3.29", "total": "$50.25", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Ramen/Seaweed", "item_value": "15.90", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "13.90", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "12.90", "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	[[[[117.0, 89.0], [220.0, 89.0], [220.0, 103.0], [117.0, 103.0]], ('Havana Bar & Gr111', 0.8469977974891663)], [[[96.0, 101.0], [249.0, 104.0], [249.0, 121.0], [96.0, 118.0]], ('BC Food Beverages Sdn Bnd', 0.9116636514663696)], [[[113.0, 114.0], [237.0, 119.0], [237.0, 136.0], [112.0, 131.0]], ('Changkat Bukit Bintang', 0.903163731098175)], [[[114.0, 128.0], [231.0, 134.0], [230.0, 151.0], [113.0, 145.0]], ('24,Lorong Sahabat', 0.8395743370056152)], [[[99.0, 141.0], [252.0, 147.0], [251.0, 164.0], [99.0, 159.0]], ('50200 Kuala LumrKalaysi', 0.7640624046325684)], [[[128.0, 155.0], [219.0, 160.0], [219.0, 174.0], [127.0, 170.0]], ('Tel:603-21427170', 0.9210484027862549)], [[[122.0, 168.0], [222.0, 172.0], [221.0, 187.0], [122.0, 183.0]], ('GST NO:001138212864', 0.9309560656547546)], [[[167.0, 197.0], [182.0, 197.0], [182.0, 217.0], [167.0, 217.0]], ('5', 0.9991106390953064)], [[[71.0, 226.0], [109.0, 226.0], [109.0, 240.0], [71.0, 240.0]], ('GFORDER', 0.988359808921814)], [[[213.0, 225.0], [280.0, 225.0], [280.0, 236.0], [213.0, 236.0]], ('DSTAIRSFLOORS', 0.950119137763977)], [[[71.0, 238.0], [95.0, 238.0], [95.0, 253.0], [71.0, 253.0]], ('JOVI', 0.997657299041748)], [[[209.0, 237.0], [280.0, 237.0], [280.0, 248.0], [209.0, 248.0]], ('Guest Count1', 0.7881249785423279)], [[[70.0, 250.0], [168.0, 249.0], [168.0, 263.0], [70.0, 264.0]], ('07/01/201710:52pm', 0.9370245933532715)], [[[270.0, 286.0], [283.0, 286.0], [283.0, 298.0], [270.0, 298.0]], ('RM', 0.8603450059890747)], [[[69.0, 300.0], [164.0, 299.0], [164.0, 313.0], [69.0, 314.0]], ('1x PT Black Velt', 0.8421704769134521)], [[[252.0, 296.0], [286.0, 299.0], [284.0, 314.0], [251.0, 311.0]], ('33.00', 0.9858657121658325)], [[[70.0, 311.0], [197.0, 311.0], [197.0, 325.0], [70.0, 325.0]], ('1x BTL Heartland Cab Sauy', 0.900046169757843)], [[[251.0, 310.0], [285.0, 310.0], [285.0, 325.0], [251.0, 325.0]], ('135.00', 0.99418705701828)], [[[71.0, 326.0], [149.0, 326.0], [149.0, 340.0], [71.0, 340.0]], ('1x PT Strongbow', 0.930993914604187)], [[[254.0, 321.0], [286.0, 324.0], [284.0, 339.0], [253.0, 336.0]], ('33.00', 0.9917972683906555)], [[[69.0, 348.0], [117.0, 351.0], [117.0, 366.0], [68.0, 363.0]], ('Sub Tota', 0.9331830739974976)], [[[251.0, 349.0], [286.0, 346.0], [287.0, 361.0], [252.0, 364.0]], ('201.00', 0.9934942126274109)], [[[65.0, 377.0], [96.0, 377.0], [96.0, 392.0], [65.0, 392.0]], ('GST6X', 0.9050318002700806)], [[[261.0, 371.0], [293.0, 371.0], [293.0, 386.0], [261.0, 386.0]], ('12.06', 0.9439752697944641)], [[[60.0, 399.0], [117.0, 402.0], [115.0, 428.0], [59.0, 426.0]], ('Total', 0.9942485094070435)], [[[202.0, 401.0], [296.0, 394.0], [297.0, 418.0], [204.0, 425.0]], ('RM213.05', 0.9961813688278198)]]	{"store_name": "HavanaBar&Grill", "store_addr": "ChangkatBukitBintang 2&4,LorongSahabat", "telephone": "603-21427170", "date": "07/01/2017", "time": "10:52pm", "subtotal": "201.00", "tax": "12.05", "total": "RM213.05", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BTLHeartlandCabSauv", "item_value": "33.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PTStrongbom", "item_value": "135.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "33.00", "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	[[[[62.0, 15.0], [184.0, 6.0], [185.0, 20.0], [63.0, 29.0]], ('Pasta Divina', 0.9586348533630371)], [[[62.0, 37.0], [176.0, 30.0], [177.0, 44.0], [63.0, 52.0]], ('Rue de la Montagne16', 0.9386417269706726)], [[[75.0, 47.0], [154.0, 44.0], [154.0, 57.0], [75.0, 60.0]], ('1000 Bruxelles', 0.888608455657959)], [[[66.0, 59.0], [161.0, 55.0], [161.0, 68.0], [67.0, 73.0]], ('Te102/511.21.55', 0.9208498597145081)], [[[5.0, 75.0], [88.0, 70.0], [88.0, 83.0], [5.0, 88.0]], ('CAISSE3092', 0.9612587094306946)], [[[6.0, 86.0], [205.0, 76.0], [206.0, 90.0], [6.0, 100.0]], ('dim.04sept.16 2217', 0.9276933670043945)], [[[7.0, 97.0], [63.0, 97.0], [63.0, 107.0], [7.0, 107.0]], ('Direction 1', 0.9076138138771057)], [[[9.0, 108.0], [60.0, 108.0], [60.0, 119.0], [9.0, 119.0]], ('Table', 0.9931629300117493)], [[[85.0, 106.0], [115.0, 106.0], [115.0, 118.0], [85.0, 118.0]], ('105', 0.9981858134269714)], [[[26.0, 128.0], [74.0, 131.0], [74.0, 142.0], [26.0, 139.0]], ('1 Caprese', 0.9311034679412842)], [[[176.0, 134.0], [208.0, 137.0], [207.0, 151.0], [175.0, 148.0]], ('27.80', 0.9829679727554321)], [[[179.0, 127.0], [208.0, 127.0], [208.0, 138.0], [179.0, 138.0]], ('12.50', 0.9938240051269531)], [[[25.0, 138.0], [65.0, 142.0], [64.0, 153.0], [24.0, 149.0]], ('2Lunga', 0.9769905209541321)], [[[24.0, 149.0], [123.0, 151.0], [122.0, 165.0], [24.0, 163.0]], ('1Tagliatelle Verd', 0.9047445058822632)], [[[139.0, 140.0], [167.0, 140.0], [167.0, 151.0], [139.0, 151.0]], ('13.90', 0.9887555837631226)], [[[178.0, 150.0], [207.0, 150.0], [207.0, 161.0], [178.0, 161.0]], ('16.90', 0.9655261039733887)], [[[26.0, 160.0], [75.0, 164.0], [75.0, 174.0], [25.0, 171.0]], ('1Ripiena', 0.9120646119117737)], [[[25.0, 171.0], [142.0, 173.0], [142.0, 186.0], [25.0, 184.0]], ('1 Hoegaarden Rosee 2501', 0.9192383885383606)], [[[179.0, 162.0], [207.0, 162.0], [207.0, 173.0], [179.0, 173.0]], ('14.90', 0.9943791627883911)], [[[182.0, 173.0], [207.0, 173.0], [207.0, 185.0], [182.0, 185.0]], ('3.50', 0.9959278106689453)], [[[24.0, 192.0], [66.0, 194.0], [66.0, 208.0], [23.0, 206.0]], ('2na', 0.5673739910125732)], [[[26.0, 184.0], [61.0, 184.0], [61.0, 195.0], [26.0, 195.0]], ('2 Coca', 0.91718989610672)], [[[143.0, 185.0], [166.0, 185.0], [166.0, 196.0], [143.0, 196.0]], ('3.00', 0.991161584854126)], [[[182.0, 185.0], [207.0, 185.0], [207.0, 196.0], [182.0, 196.0]], ('6.00', 0.9929966926574707)], [[[143.0, 196.0], [167.0, 196.0], [167.0, 207.0], [143.0, 207.0]], ('4.50', 0.9874070882797241)], [[[182.0, 196.0], [207.0, 196.0], [207.0, 207.0], [182.0, 207.0]], ('9.00', 0.9918414354324341)], [[[25.0, 215.0], [124.0, 217.0], [123.0, 230.0], [25.0, 228.0]], ('1 Supp.Parniggiano', 0.9265292286872864)], [[[27.0, 206.0], [91.0, 206.0], [91.0, 217.0], [27.0, 217.0]], ('1 Supp.Pain', 0.9246235489845276)], [[[183.0, 207.0], [207.0, 207.0], [207.0, 218.0], [183.0, 218.0]], ('1.00', 0.9866299629211426)], [[[23.0, 226.0], [92.0, 228.0], [92.0, 242.0], [23.0, 240.0]], ('1 Supp.Pain', 0.9186407327651978)], [[[183.0, 218.0], [207.0, 218.0], [207.0, 229.0], [183.0, 229.0]], ('1.00', 0.9918153285980225)], [[[184.0, 228.0], [207.0, 228.0], [207.0, 239.0], [184.0, 239.0]], ('1.00', 0.9928088188171387)], [[[25.0, 238.0], [65.0, 240.0], [65.0, 251.0], [24.0, 249.0]], ('1 Duve1', 0.8341182470321655)], [[[183.0, 238.0], [207.0, 238.0], [207.0, 250.0], [183.0, 250.0]], ('4.50', 0.9822854399681091)], [[[23.0, 249.0], [101.0, 248.0], [101.0, 262.0], [23.0, 263.0]], ('1Jup1er 25c1', 0.942547619342804)], [[[183.0, 249.0], [207.0, 249.0], [207.0, 261.0], [183.0, 261.0]], ('3.00', 0.9934853315353394)], [[[25.0, 262.0], [114.0, 261.0], [114.0, 272.0], [25.0, 273.0]], ('1 Tiranisu Haison', 0.8619939088821411)], [[[183.0, 260.0], [207.0, 260.0], [207.0, 272.0], [183.0, 272.0]], ('7.00', 0.9837335348129272)], [[[25.0, 273.0], [113.0, 270.0], [114.0, 283.0], [25.0, 286.0]], ('1 Tiransu Maison', 0.8793384432792664)], [[[184.0, 271.0], [207.0, 271.0], [207.0, 283.0], [184.0, 283.0]], ('7.00', 0.9902167320251465)], [[[24.0, 285.0], [129.0, 281.0], [130.0, 294.0], [24.0, 299.0]], ('1 Espresso Macchiato', 0.9365466237068176)], [[[183.0, 282.0], [207.0, 282.0], [207.0, 294.0], [183.0, 294.0]], ('3.50', 0.992519199848175)], [[[24.0, 298.0], [129.0, 292.0], [130.0, 305.0], [25.0, 311.0]], ('1 Espresso Macchiato', 0.911933422088623)], [[[184.0, 294.0], [208.0, 294.0], [208.0, 305.0], [184.0, 305.0]], ('3.50', 0.9865990281105042)], [[[5.0, 324.0], [42.0, 321.0], [43.0, 334.0], [5.0, 337.0]], ('Tot', 0.9979071617126465)], [[[44.0, 322.0], [88.0, 319.0], [88.0, 330.0], [45.0, 333.0]], ('Euro', 0.9909247756004333)], [[[148.0, 316.0], [207.0, 316.0], [207.0, 327.0], [148.0, 327.0]], ('122.10', 0.9867067337036133)], [[[21.0, 348.0], [44.0, 348.0], [44.0, 360.0], [21.0, 360.0]], ('TVAL', 0.9102753400802612)], [[[66.0, 344.0], [93.0, 341.0], [94.0, 353.0], [67.0, 356.0]], ('Jotal', 0.9089673757553101)], [[[129.0, 339.0], [144.0, 339.0], [144.0, 351.0], [129.0, 351.0]], ('HT', 0.9664642810821533)], [[[172.0, 339.0], [194.0, 339.0], [194.0, 351.0], [172.0, 351.0]], ('Iva', 0.9039106965065002)], [[[66.0, 354.0], [96.0, 354.0], [96.0, 368.0], [66.0, 368.0]], ('33.00', 0.993360161781311)], [[[115.0, 350.0], [145.0, 350.0], [145.0, 364.0], [115.0, 364.0]], ('27.27', 0.9888517260551453)], [[[169.0, 350.0], [194.0, 350.0], [194.0, 361.0], [169.0, 361.0]], ('5.73', 0.9933499693870544)], [[[23.0, 360.0], [44.0, 357.0], [46.0, 370.0], [25.0, 373.0]], ('211', 0.9075347781181335)], [[[65.0, 366.0], [95.0, 363.0], [96.0, 377.0], [66.0, 380.0]], ('89.10', 0.9833133816719055)], [[[116.0, 361.0], [145.0, 361.0], [145.0, 375.0], [116.0, 375.0]], ('79.55', 0.9855955839157104)], [[[168.0, 361.0], [194.0, 361.0], [194.0, 373.0], [168.0, 373.0]], ('9.55', 0.9815753698348999)], [[[26.0, 373.0], [46.0, 373.0], [46.0, 387.0], [26.0, 387.0]], ('12%', 0.9750604033470154)], [[[62.0, 379.0], [96.0, 375.0], [97.0, 389.0], [63.0, 393.0]], ('122.10', 0.9844829440116882)], [[[112.0, 375.0], [143.0, 371.0], [145.0, 382.0], [114.0, 386.0]], ('106.82', 0.9790799617767334)], [[[166.0, 372.0], [194.0, 372.0], [194.0, 383.0], [166.0, 383.0]], ('15.28', 0.9266780614852905)], [[[27.0, 386.0], [46.0, 386.0], [46.0, 398.0], [27.0, 398.0]], ('Tot', 0.9908885359764099)], [[[68.0, 404.0], [138.0, 394.0], [140.0, 407.0], [69.0, 418.0]], ('especes', 0.9948405027389526)], [[[5.0, 416.0], [62.0, 405.0], [64.0, 420.0], [8.0, 431.0]], ('Regl.', 0.9807525873184204)]]	{"store_name": "PastaDivina", "store_addr": "1000Bruxelles RuedelaMontgne16", "telephone": "02/511.21.55", "date": "04sept.16", "time": "22:17", "subtotal": "106.82", "tax": "15.28", "total": "122.10 122.10", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "EspressoMacchiato", "item_value": "12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "EspressoMacchiato", "item_value": "27.80", "item_quantity": "1"}, {"item_key": "", "item_name": "TiramisuMaison", "item_value": "16.90", "item_quantity": "1"}, {"item_key": "", "item_name": "TiramisuMaison", "item_value": "14.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Jupiler25cl", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Duvel", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Supp.Pain", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Supp.Parniggiano", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Supp.Pain", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Duvel", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Coca", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "HoegaardenRosee25cl", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Aipiena", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tagliatelleverdi", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Lunga", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Caprese", "item_value": "3.50", "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	[[[[4.0, 78.0], [289.0, 88.0], [289.0, 108.0], [4.0, 98.0]], ('Buvette des Marionnettes', 0.973863422870636)], [[[74.0, 149.0], [260.0, 140.0], [261.0, 155.0], [74.0, 163.0]], ('IA BLVETTE DES MARIONNETTES', 0.8029689192771912)], [[[107.0, 160.0], [242.0, 155.0], [242.0, 169.0], [108.0, 174.0]], ('JARDIN DU LUXEMBOURG', 0.9165616035461426)], [[[100.0, 174.0], [237.0, 170.0], [238.0, 184.0], [101.0, 188.0]], ('TEL.0143263304', 0.9139087796211243)], [[[274.0, 167.0], [286.0, 167.0], [286.0, 182.0], [274.0, 182.0]], ('', 0.7930443286895752)], [[[69.0, 177.0], [79.0, 177.0], [79.0, 187.0], [69.0, 187.0]], ('', 0.6051907539367676)], [[[125.0, 187.0], [225.0, 185.0], [225.0, 199.0], [126.0, 201.0]], ('MERCI BEAUCOUP', 0.9505115151405334)], [[[278.0, 182.0], [287.0, 182.0], [287.0, 193.0], [278.0, 193.0]], ('', 0.8030520677566528)], [[[56.0, 220.0], [110.0, 217.0], [111.0, 232.0], [57.0, 235.0]], ('SCREPE', 0.8998486399650574)], [[[247.0, 214.0], [295.0, 214.0], [295.0, 228.0], [247.0, 228.0]], ('6,50T1', 0.8853984475135803)], [[[53.0, 234.0], [109.0, 233.0], [109.0, 248.0], [53.0, 249.0]], ('5CREPE', 0.9588194489479065)], [[[249.0, 228.0], [300.0, 228.0], [300.0, 245.0], [249.0, 245.0]], ('7.00T1', 0.8703494668006897)], [[[47.0, 248.0], [100.0, 248.0], [100.0, 265.0], [47.0, 265.0]], ('#CAFE', 0.9718270301818848)], [[[251.0, 245.0], [303.0, 245.0], [303.0, 262.0], [251.0, 262.0]], ('2.60T1', 0.9196059703826904)], [[[42.0, 264.0], [95.0, 264.0], [95.0, 281.0], [42.0, 281.0]], ('SSODA', 0.9739333987236023)], [[[255.0, 263.0], [308.0, 263.0], [308.0, 280.0], [255.0, 280.0]], ('5.00T1', 0.8737509846687317)], [[[29.0, 298.0], [86.0, 301.0], [86.0, 320.0], [28.0, 317.0]], ('TVA 1', 0.8323952555656433)], [[[122.0, 301.0], [173.0, 301.0], [173.0, 319.0], [122.0, 319.0]], ('700%', 0.9588519930839539)], [[[280.0, 302.0], [320.0, 302.0], [320.0, 321.0], [280.0, 321.0]], ('1.38', 0.8912580609321594)], [[[22.0, 319.0], [152.0, 325.0], [152.0, 345.0], [21.0, 339.0]], ('TOTAL TVA EXCI', 0.9056842923164368)], [[[275.0, 324.0], [327.0, 324.0], [327.0, 346.0], [275.0, 346.0]], ('19,72', 0.9127108454704285)], [[[5.0, 367.0], [109.0, 374.0], [107.0, 398.0], [3.0, 391.0]], ('TOTAL', 0.998949408531189)], [[[234.0, 378.0], [335.0, 378.0], [335.0, 399.0], [234.0, 399.0]], ('21.10', 0.9295086860656738)], [[[288.0, 405.0], [336.0, 405.0], [336.0, 431.0], [288.0, 431.0]], ('21,1', 0.8210252523422241)]]	{"store_name": "IABUVETTEDESMARIONNETTES", "store_addr": "JARDINDULUXEMBOURG", "telephone": "0143263304", "date": "", "time": "", "subtotal": "19,72", "tax": "1,38", "total": "21,10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "\u00a7CREPE", "item_value": "6,50TI", "item_quantity": "1"}, {"item_key": "", "item_name": "\u00a7CREPE", "item_value": "7,00TI", "item_quantity": "1"}, {"item_key": "", "item_name": "#CAFE", "item_value": "2,60TI", "item_quantity": "1"}, {"item_key": "", "item_name": "\u00a7SODA", "item_value": "5,00TI", "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	[[[[2.0, 6.0], [213.0, 2.0], [214.0, 30.0], [3.0, 35.0]], ('ver:Upsham K', 0.8581612706184387)], [[[306.0, 2.0], [509.0, 0.0], [509.0, 26.0], [306.0, 28.0]], ('Check49239', 0.9972680807113647)], [[[0.0, 40.0], [116.0, 37.0], [117.0, 74.0], [0.0, 77.0]], ('le18', 0.8974742293357849)], [[[304.0, 39.0], [596.0, 34.0], [597.0, 66.0], [304.0, 70.0]], ('Date:22/11/2012', 0.9639360904693604)], [[[0.0, 84.0], [100.0, 80.0], [101.0, 115.0], [0.0, 119.0]], ('sts:2', 0.9115580320358276)], [[[306.0, 80.0], [616.0, 76.0], [616.0, 108.0], [306.0, 111.0]], ('Time12:58:18PM', 0.9185160398483276)], [[[12.0, 165.0], [338.0, 162.0], [338.0, 194.0], [12.0, 198.0]], ('Chicken Pesto Pasta', 0.9620314240455627)], [[[597.0, 156.0], [674.0, 153.0], [675.0, 193.0], [599.0, 196.0]], ('7.95', 0.9945828914642334)], [[[237.0, 245.0], [391.0, 245.0], [391.0, 278.0], [237.0, 278.0]], ('SUBTOTAL:', 0.9779317378997803)], [[[601.0, 239.0], [678.0, 239.0], [678.0, 278.0], [601.0, 278.0]], ('7.95', 0.996532142162323)], [[[320.0, 284.0], [396.0, 284.0], [396.0, 323.0], [320.0, 323.0]], ('HST:', 0.9544955492019653)], [[[604.0, 282.0], [679.0, 282.0], [679.0, 321.0], [604.0, 321.0]], ('1.03', 0.9938055872917175)], [[[188.0, 372.0], [385.0, 372.0], [385.0, 405.0], [188.0, 405.0]], ('TOTAL:', 0.9658715128898621)], [[[537.0, 367.0], [678.0, 367.0], [678.0, 404.0], [537.0, 404.0]], ('8.98', 0.9964025020599365)], [[[93.0, 502.0], [507.0, 498.0], [507.0, 533.0], [93.0, 538.0]], ('A11 tips go towards the', 0.9379792213439941)], [[[37.0, 549.0], [582.0, 545.0], [582.0, 576.0], [38.0, 581.0]], ('kill-a-Twilight fan foundation', 0.9329313635826111)], [[[220.0, 679.0], [402.0, 679.0], [402.0, 720.0], [220.0, 720.0]], ('Thank you', 0.9724417924880981)], [[[112.0, 774.0], [511.0, 769.0], [511.0, 801.0], [113.0, 806.0]], ('HST #849328547RT0001', 0.9729491472244263)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "22/11/2012", "time": "12:58:18PM", "subtotal": "7.95", "tax": "1.03", "total": "8.98", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenPestoPasta", "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	[[[[330.0, 16.0], [440.0, 31.0], [436.0, 59.0], [326.0, 44.0]], ('MB AM', 0.9239983558654785)], [[[395.0, 14.0], [445.0, 22.0], [443.0, 32.0], [393.0, 24.0]], ('ANO', 0.5987589955329895)], [[[8.0, 49.0], [120.0, 58.0], [118.0, 94.0], [5.0, 86.0]], ('LIVE OILTA', 0.9058328866958618)], [[[190.0, 43.0], [198.0, 43.0], [198.0, 53.0], [190.0, 53.0]], ('A', 0.5213230848312378)], [[[212.0, 64.0], [227.0, 64.0], [227.0, 72.0], [212.0, 72.0]], ('N', 0.9925084710121155)], [[[180.0, 83.0], [257.0, 81.0], [257.0, 91.0], [180.0, 94.0]], ('CERVESERIA', 0.9952448010444641)], [[[333.0, 81.0], [369.0, 81.0], [369.0, 115.0], [333.0, 115.0]], ('CS', 0.8905139565467834)], [[[3.0, 95.0], [94.0, 107.0], [89.0, 140.0], [0.0, 128.0]], ('OUET', 0.9657647609710693)], [[[346.0, 115.0], [444.0, 123.0], [443.0, 137.0], [345.0, 129.0]], ('ELIFEME', 0.8816021084785461)], [[[4.0, 129.0], [113.0, 143.0], [111.0, 157.0], [2.0, 143.0]], ('DNEAN WE', 0.7708362340927124)], [[[124.0, 130.0], [157.0, 130.0], [157.0, 144.0], [124.0, 144.0]], ('MESA', 0.9931973814964294)], [[[341.0, 126.0], [445.0, 138.0], [441.0, 177.0], [336.0, 166.0]], ('AT-CO', 0.9158235788345337)], [[[3.0, 145.0], [113.0, 159.0], [108.0, 195.0], [0.0, 182.0]], ('MUT D', 0.902461051940918)], [[[135.0, 140.0], [207.0, 137.0], [207.0, 152.0], [136.0, 154.0]], ('2COMENSAL63', 0.8971968293190002)], [[[138.0, 165.0], [232.0, 162.0], [232.0, 176.0], [139.0, 179.0]], ('1CHIPIRONANDALUZA', 0.8259267807006836)], [[[300.0, 157.0], [321.0, 160.0], [319.0, 173.0], [298.0, 170.0]], ('9.95', 0.868677020072937)], [[[251.0, 172.0], [275.0, 172.0], [275.0, 187.0], [251.0, 187.0]], ('4.10', 0.9774503111839294)], [[[347.0, 166.0], [447.0, 176.0], [446.0, 191.0], [345.0, 181.0]], ('NEAN WA', 0.8451951146125793)], [[[3.0, 183.0], [108.0, 196.0], [106.0, 213.0], [1.0, 200.0]], ('MEDITERRA', 0.9243184328079224)], [[[138.0, 177.0], [225.0, 174.0], [225.0, 187.0], [139.0, 190.0]], ('2MBRCHT BACALAO', 0.8517720699310303)], [[[300.0, 180.0], [324.0, 180.0], [324.0, 195.0], [300.0, 195.0]], ('4.10', 0.9582166075706482)], [[[348.0, 177.0], [439.0, 188.0], [434.0, 234.0], [342.0, 224.0]], ('ESSUN', 0.9967807531356812)], [[[3.0, 200.0], [106.0, 211.0], [101.0, 252.0], [0.0, 241.0]], ('LALA', 0.997606098651886)], [[[139.0, 198.0], [229.0, 198.0], [229.0, 211.0], [139.0, 211.0]], ('A PLATO PAN TOMATE', 0.8955586552619934)], [[[300.0, 192.0], [323.0, 187.0], [326.0, 203.0], [304.0, 208.0]], ('2.95', 0.9517216086387634)], [[[139.0, 210.0], [177.0, 210.0], [177.0, 221.0], [139.0, 221.0]], ('2.AGUA', 0.8440147042274475)], [[[255.0, 207.0], [277.0, 207.0], [277.0, 219.0], [255.0, 219.0]], ('1.85', 0.9905704259872437)], [[[305.0, 202.0], [326.0, 202.0], [326.0, 216.0], [305.0, 216.0]], ('3.70', 0.9834272861480713)], [[[137.0, 220.0], [245.0, 218.0], [245.0, 232.0], [138.0, 234.0]], ('1PLT.CHORIZO IBERICO', 0.8710284233093262)], [[[305.0, 212.0], [328.0, 212.0], [328.0, 228.0], [305.0, 228.0]], ('5.35', 0.9023797512054443)], [[[305.0, 224.0], [329.0, 224.0], [329.0, 240.0], [305.0, 240.0]], ('255', 0.5108572840690613)], [[[355.0, 222.0], [449.0, 233.0], [447.0, 250.0], [353.0, 239.0]], ('EDITERR', 0.9189683794975281)], [[[139.0, 232.0], [221.0, 232.0], [221.0, 245.0], [139.0, 245.0]], ('1CREMA CATALANA', 0.9349684119224548)], [[[18.0, 244.0], [104.0, 255.0], [102.0, 272.0], [16.0, 262.0]], ('EMEDI', 0.9005053639411926)], [[[137.0, 244.0], [225.0, 243.0], [225.0, 257.0], [137.0, 258.0]], ('1 HUEUOS CABREAOS', 0.8471547961235046)], [[[306.0, 237.0], [331.0, 237.0], [331.0, 252.0], [306.0, 252.0]], ('6.15', 0.9811467528343201)], [[[28.0, 258.0], [105.0, 270.0], [96.0, 322.0], [20.0, 310.0]], ('FES', 0.9975919127464294)], [[[135.0, 258.0], [230.0, 254.0], [230.0, 268.0], [136.0, 272.0]], ('2 MCAMEMBERT CRUJ', 0.924568772315979)], [[[257.0, 252.0], [282.0, 252.0], [282.0, 267.0], [257.0, 267.0]], ('2.95', 0.9913437962532043)], [[[308.0, 250.0], [332.0, 250.0], [332.0, 262.0], [308.0, 262.0]], ('5.90', 0.9848929643630981)], [[[202.0, 280.0], [232.0, 280.0], [232.0, 295.0], [202.0, 295.0]], ('B.IMP', 0.9488088488578796)], [[[259.0, 278.0], [284.0, 278.0], [284.0, 293.0], [259.0, 293.0]], ('TASA', 0.9886792898178101)], [[[307.0, 274.0], [336.0, 274.0], [336.0, 289.0], [307.0, 289.0]], ('TOTAL', 0.9434078931808472)], [[[259.0, 291.0], [285.0, 291.0], [285.0, 306.0], [259.0, 306.0]], ('4.48', 0.9812732338905334)], [[[306.0, 288.0], [338.0, 285.0], [339.0, 301.0], [307.0, 304.0]], ('49.25', 0.9773117899894714)], [[[368.0, 285.0], [449.0, 294.0], [447.0, 312.0], [366.0, 303.0]], ('FE-ME', 0.8919734954833984)], [[[114.0, 296.0], [170.0, 296.0], [170.0, 310.0], [114.0, 310.0]], ('I.U.A.107', 0.9022302627563477)], [[[204.0, 295.0], [232.0, 295.0], [232.0, 308.0], [204.0, 308.0]], ('44.77', 0.992348313331604)], [[[3.0, 305.0], [94.0, 316.0], [92.0, 337.0], [0.0, 326.0]], ('ERRANE', 0.9902930855751038)], [[[368.0, 298.0], [449.0, 308.0], [447.0, 363.0], [361.0, 353.0]], ('SICA', 0.998173177242279)], [[[3.0, 322.0], [106.0, 340.0], [96.0, 394.0], [0.0, 376.0]], ('DIETA', 0.9934602975845337)], [[[115.0, 332.0], [191.0, 332.0], [191.0, 350.0], [115.0, 350.0]], ('TOTAL', 0.9978845715522766)], [[[256.0, 329.0], [336.0, 324.0], [337.0, 342.0], [257.0, 347.0]], ('49.25', 0.9891749620437622)], [[[108.0, 360.0], [263.0, 354.0], [263.0, 371.0], [109.0, 377.0]], ('DIMARTS 06-09-2016 22:35:32', 0.9216453433036804)], [[[379.0, 352.0], [445.0, 359.0], [442.0, 380.0], [377.0, 373.0]], ('ERRP', 0.9679831862449646)], [[[4.0, 379.0], [96.0, 392.0], [93.0, 414.0], [1.0, 401.0]], ('EAN WA', 0.8832975029945374)], [[[107.0, 378.0], [235.0, 372.0], [235.0, 387.0], [108.0, 392.0]], ('CLau63-0p9n.63-HANDY', 0.8699358701705933)], [[[253.0, 370.0], [342.0, 365.0], [343.0, 382.0], [254.0, 387.0]], ('4-FTRA023571/1', 0.9772710204124451)], [[[379.0, 373.0], [437.0, 373.0], [437.0, 435.0], [379.0, 435.0]], ('EA', 0.996281623840332)], [[[247.0, 397.0], [329.0, 394.0], [330.0, 411.0], [248.0, 414.0]], ('107IUA INCLUIDO', 0.85063236951828)], [[[290.0, 427.0], [413.0, 431.0], [412.0, 446.0], [289.0, 442.0]], ('ITERRON', 0.888211727142334)]]	{"store_name": "CERVESERIA ANA AL CAT", "store_addr": "", "telephone": "", "date": "06-09-2016", "time": "22:35:32", "subtotal": "49.25", "tax": "4.48", "total": "49.25", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MCAMEMBERTCRUJ", "item_value": "5.90", "item_quantity": "1"}, {"item_key": "", "item_name": "HUEUOSCABREAOS", "item_value": "6.15", "item_quantity": "1"}, {"item_key": "", "item_name": "CREMACATALANA", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "PLT.CHORIZOIBERICO", "item_value": "5.35", "item_quantity": "1"}, {"item_key": "", "item_name": "AGUA", "item_value": "3.70", "item_quantity": "1"}, {"item_key": "", "item_name": "PLATOPANTOMATE", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "MBRCHTLANGSTINOS", "item_value": "4.10", "item_quantity": "1"}, {"item_key": "", "item_name": "MBRCHTBACALAO", "item_value": "8.20", "item_quantity": "1"}, {"item_key": "", "item_name": "CHIPIRONANDALUZA", "item_value": "9.95", "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	[[[[280.0, 23.0], [544.0, 23.0], [544.0, 95.0], [280.0, 95.0]], ('COSITAS RICAS', 0.9652008414268494)], [[[225.0, 104.0], [615.0, 104.0], [615.0, 143.0], [225.0, 143.0]], ('79-19 Rooseve1t Ave', 0.9499699473381042)], [[[161.0, 157.0], [661.0, 149.0], [661.0, 188.0], [161.0, 195.0]], ('Jackson HeightsNY 11372', 0.9477028250694275)], [[[282.0, 202.0], [568.0, 195.0], [569.0, 242.0], [283.0, 250.0]], ('718)478-1500', 0.965781033039093)], [[[20.0, 300.0], [248.0, 294.0], [249.0, 342.0], [21.0, 347.0]], ('Server:BAR', 0.9630312919616699)], [[[621.0, 293.0], [830.0, 288.0], [831.0, 335.0], [622.0, 341.0]], ('Station:3', 0.9753661751747131)], [[[22.0, 399.0], [290.0, 394.0], [291.0, 440.0], [23.0, 445.0]], ('Order #:3124', 0.9135792255401611)], [[[725.0, 390.0], [831.0, 390.0], [831.0, 433.0], [725.0, 433.0]], ('SALON', 0.99870765209198)], [[[24.0, 449.0], [231.0, 444.0], [232.0, 492.0], [25.0, 497.0]], ('Table:206', 0.9749033451080322)], [[[646.0, 442.0], [831.0, 442.0], [831.0, 483.0], [646.0, 483.0]], ('Guests:1', 0.9590502977371216)], [[[287.0, 544.0], [555.0, 544.0], [555.0, 617.0], [287.0, 617.0]], ('>>SETTLED<<', 0.9181947708129883)], [[[745.0, 610.0], [835.0, 610.0], [835.0, 660.0], [745.0, 660.0]], ('2.50', 0.9919319152832031)], [[[29.0, 624.0], [341.0, 621.0], [342.0, 662.0], [29.0, 665.0]], ('1 PAN CACHO GDE', 0.9207258224487305)], [[[747.0, 662.0], [835.0, 662.0], [835.0, 705.0], [747.0, 705.0]], ('2.00', 0.9972943067550659)], [[[26.0, 674.0], [233.0, 671.0], [234.0, 712.0], [27.0, 714.0]], ('2 BUNUELOS', 0.9329767227172852)], [[[747.0, 712.0], [838.0, 712.0], [838.0, 755.0], [747.0, 755.0]], ('3.00', 0.9973360300064087)], [[[28.0, 723.0], [273.0, 719.0], [274.0, 760.0], [29.0, 764.0]], ('3PAN DEBONO', 0.9538908004760742)], [[[29.0, 771.0], [273.0, 769.0], [273.0, 810.0], [29.0, 812.0]], ('2PAN DE UVA', 0.9411634802818298)], [[[747.0, 762.0], [838.0, 762.0], [838.0, 805.0], [747.0, 805.0]], ('2.00', 0.9980348348617554)], [[[747.0, 807.0], [840.0, 807.0], [840.0, 857.0], [747.0, 857.0]], ('6.75', 0.9927747845649719)], [[[33.0, 823.0], [511.0, 814.0], [512.0, 853.0], [34.0, 862.0]], ('1 HAMBURGUES JAMON QUESO', 0.9477567672729492)], [[[68.0, 871.0], [295.0, 866.0], [296.0, 905.0], [69.0, 910.0]], ('++WELL. DONE', 0.9228244423866272)], [[[747.0, 905.0], [842.0, 905.0], [842.0, 955.0], [747.0, 955.0]], ('3.50', 0.9950739145278931)], [[[35.0, 918.0], [238.0, 918.0], [238.0, 959.0], [35.0, 959.0]], ('1 MARACUYA', 0.9475460052490234)], [[[73.0, 966.0], [238.0, 966.0], [238.0, 1007.0], [73.0, 1007.0]], ('++ LECHE', 0.9296274185180664)], [[[752.0, 1005.0], [840.0, 1005.0], [840.0, 1048.0], [752.0, 1048.0]], ('6.45', 0.9971370100975037)], [[[35.0, 1016.0], [414.0, 1011.0], [415.0, 1052.0], [36.0, 1057.0]], ('1 CALDO DE COSTILLA', 0.9472870826721191)], [[[75.0, 1066.0], [297.0, 1061.0], [298.0, 1100.0], [75.0, 1105.0]], ('ENSALAD DIA', 0.9636261463165283)], [[[79.0, 1113.0], [253.0, 1113.0], [253.0, 1154.0], [79.0, 1154.0]], ('ESPERE..', 0.9464400410652161)], [[[752.0, 1147.0], [844.0, 1147.0], [844.0, 1197.0], [752.0, 1197.0]], ('1.25', 0.8785189390182495)], [[[35.0, 1161.0], [317.0, 1159.0], [318.0, 1200.0], [35.0, 1202.0]], ('1 CAFE REGULAR', 0.9396873712539673)], [[[37.0, 1211.0], [240.0, 1209.0], [240.0, 1249.0], [38.0, 1252.0]], ('1 EMPANADA', 0.9485025405883789)], [[[756.0, 1202.0], [842.0, 1202.0], [842.0, 1245.0], [756.0, 1245.0]], ('1.00', 0.995094895362854)], [[[33.0, 1259.0], [377.0, 1254.0], [377.0, 1299.0], [33.0, 1304.0]], ('2 PAN QUESO PEQ.', 0.8918894529342651)], [[[756.0, 1250.0], [844.0, 1250.0], [844.0, 1293.0], [756.0, 1293.0]], ('2.00', 0.9978699684143066)], [[[716.0, 1342.0], [853.0, 1342.0], [853.0, 1431.0], [716.0, 1431.0]], ('$30.45', 0.9940364956855774)], [[[40.0, 1356.0], [170.0, 1356.0], [170.0, 1438.0], [40.0, 1438.0]], ('TOTAL:', 0.9874998927116394)], [[[42.0, 1483.0], [324.0, 1478.0], [324.0, 1524.0], [42.0, 1529.0]], ('Cash Tendered:', 0.9436160922050476)], [[[743.0, 1474.0], [849.0, 1474.0], [849.0, 1517.0], [743.0, 1517.0]], ('40.00', 0.9958534240722656)], [[[42.0, 1581.0], [187.0, 1581.0], [187.0, 1628.0], [42.0, 1628.0]], ('CHANGE:', 0.9814916253089905)], [[[745.0, 1572.0], [849.0, 1572.0], [849.0, 1615.0], [745.0, 1615.0]], ('-9.55', 0.9735547304153442)], [[[242.0, 1681.0], [634.0, 1673.0], [635.0, 1743.0], [243.0, 1751.0]], ('>>Ticket#400<<', 0.9294705390930176)], [[[147.0, 1758.0], [727.0, 1748.0], [728.0, 1787.0], [148.0, 1796.0]], ('Created:1/14/2012 2:17:44 PM', 0.9236793518066406)], [[[150.0, 1807.0], [729.0, 1798.0], [730.0, 1839.0], [150.0, 1848.0]], ('SETTLED:1/14/20122:54:29PM', 0.9544970393180847)], [[[346.0, 1898.0], [553.0, 1893.0], [554.0, 1941.0], [347.0, 1946.0]], ('THANK YOU!', 0.915269672870636)]]	{"store_name": "COSITASRICAS", "store_addr": "JacksonHeights,NY11372 79-19RooseveltAve.", "telephone": "(718)478-1500", "date": "1/14/2012 1/14/2012", "time": "2:54:29PM", "subtotal": "", "tax": "", "total": "$30.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PANQUESOPEQ.", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "EMPANADA", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CAFEREGULAR", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CALDODECOSTILLA", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MARACUYA", "item_value": "6.75", "item_quantity": "1"}, {"item_key": "", "item_name": "HAMBURGUESJAMONQUESO", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PANDEUVA", "item_value": "6.45", "item_quantity": "1"}, {"item_key": "", "item_name": "PANDEBONO", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "BUNUELOS", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PANCACHOGDE.", "item_value": "2.00", "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	[[[[225.0, 20.0], [439.0, 20.0], [439.0, 78.0], [225.0, 78.0]], ('COSITAS RICAS', 0.971794068813324)], [[[180.0, 84.0], [494.0, 84.0], [494.0, 115.0], [180.0, 115.0]], ('79-19 Rooseve1t Ave', 0.9419313669204712)], [[[131.0, 126.0], [530.0, 120.0], [531.0, 151.0], [131.0, 157.0]], ('Jackson Heights,NY 11372', 0.9397358894348145)], [[[226.0, 162.0], [456.0, 156.0], [457.0, 194.0], [227.0, 200.0]], ('718478-1500', 0.995331346988678)], [[[16.0, 240.0], [199.0, 236.0], [200.0, 275.0], [16.0, 279.0]], ('Server:BAR', 0.9634746313095093)], [[[499.0, 235.0], [666.0, 231.0], [667.0, 269.0], [500.0, 273.0]], ('Station:3', 0.965408205986023)], [[[19.0, 320.0], [233.0, 316.0], [234.0, 353.0], [20.0, 357.0]], ('Order #:3124', 0.9202588200569153)], [[[582.0, 313.0], [667.0, 313.0], [667.0, 348.0], [582.0, 348.0]], ('SALON', 0.9727231860160828)], [[[19.0, 361.0], [185.0, 356.0], [186.0, 393.0], [20.0, 397.0]], ('Table:206', 0.9765338897705078)], [[[518.0, 355.0], [667.0, 355.0], [667.0, 388.0], [518.0, 388.0]], ('Guests:1', 0.9633399248123169)], [[[230.0, 437.0], [446.0, 437.0], [446.0, 495.0], [230.0, 495.0]], ('>>SETTLED<<', 0.9314762353897095)], [[[596.0, 490.0], [672.0, 490.0], [672.0, 530.0], [596.0, 530.0]], ('2.50', 0.9885989427566528)], [[[23.0, 500.0], [274.0, 499.0], [274.0, 531.0], [23.0, 533.0]], ('1 PAN CACHO GDE', 0.9312441349029541)], [[[600.0, 531.0], [671.0, 531.0], [671.0, 566.0], [600.0, 566.0]], ('2.00', 0.9963621497154236)], [[[21.0, 541.0], [189.0, 539.0], [189.0, 571.0], [21.0, 573.0]], ('2BUNUELOS', 0.9844966530799866)], [[[600.0, 571.0], [672.0, 571.0], [672.0, 606.0], [600.0, 606.0]], ('3.00', 0.9962456822395325)], [[[23.0, 581.0], [219.0, 577.0], [220.0, 610.0], [23.0, 613.0]], ('3PAN DEBONO', 0.9488058686256409)], [[[598.0, 608.0], [674.0, 608.0], [674.0, 648.0], [598.0, 648.0]], ('2.00', 0.9967954158782959)], [[[23.0, 621.0], [219.0, 617.0], [220.0, 648.0], [23.0, 652.0]], ('2PAN DE UVA', 0.9258530139923096)], [[[599.0, 650.0], [671.0, 645.0], [673.0, 682.0], [601.0, 687.0]], ('6.75', 0.996548593044281)], [[[26.0, 661.0], [410.0, 653.0], [411.0, 684.0], [27.0, 692.0]], ('1 HAMBURGUES JAMON QUESO', 0.9478098750114441)], [[[56.0, 699.0], [237.0, 695.0], [237.0, 726.0], [57.0, 730.0]], ('++WELL. DONE', 0.9142414927482605)], [[[600.0, 726.0], [674.0, 726.0], [674.0, 766.0], [600.0, 766.0]], ('3.50', 0.9903587102890015)], [[[28.0, 737.0], [191.0, 737.0], [191.0, 770.0], [28.0, 770.0]], ('1 MARACUYA', 0.9510645866394043)], [[[58.0, 775.0], [191.0, 775.0], [191.0, 808.0], [58.0, 808.0]], ('++ LECHE', 0.9292201399803162)], [[[602.0, 804.0], [676.0, 804.0], [676.0, 844.0], [602.0, 844.0]], ('6.45', 0.9933680295944214)], [[[28.0, 815.0], [332.0, 811.0], [333.0, 844.0], [29.0, 848.0]], ('1 CALDO DE COSTILLA', 0.934615969657898)], [[[60.0, 854.0], [239.0, 852.0], [239.0, 884.0], [60.0, 886.0]], ('ENSALAD DIA', 0.9643875360488892)], [[[64.0, 894.0], [209.0, 894.0], [209.0, 926.0], [64.0, 926.0]], ('ESPERE...', 0.922282338142395)], [[[605.0, 921.0], [678.0, 921.0], [678.0, 961.0], [605.0, 961.0]], ('1.25', 0.9884209632873535)], [[[30.0, 932.0], [255.0, 930.0], [255.0, 963.0], [30.0, 965.0]], ('1 CAFE REGULAR', 0.9363912343978882)], [[[30.0, 972.0], [193.0, 970.0], [193.0, 1003.0], [30.0, 1005.0]], ('1 EMPANADA', 0.9445023536682129)], [[[604.0, 963.0], [674.0, 958.0], [677.0, 995.0], [607.0, 1000.0]], ('1.00', 0.9921153783798218)], [[[26.0, 1010.0], [300.0, 1006.0], [301.0, 1043.0], [27.0, 1047.0]], ('2PANQUESO PEQ.', 0.9174026846885681)], [[[607.0, 1003.0], [678.0, 1003.0], [678.0, 1037.0], [607.0, 1037.0]], ('2.00', 0.9977707862854004)], [[[575.0, 1077.0], [685.0, 1077.0], [685.0, 1148.0], [575.0, 1148.0]], ('$30.45', 0.9958096146583557)], [[[30.0, 1088.0], [136.0, 1088.0], [136.0, 1152.0], [30.0, 1152.0]], ('TOTAL:', 0.9786210656166077)], [[[33.0, 1190.0], [260.0, 1186.0], [260.0, 1223.0], [34.0, 1227.0]], ('Cash Tendered:', 0.9726214408874512)], [[[596.0, 1183.0], [681.0, 1183.0], [681.0, 1217.0], [596.0, 1217.0]], ('40.00', 0.9949247241020203)], [[[34.0, 1268.0], [150.0, 1268.0], [150.0, 1307.0], [34.0, 1307.0]], ('CHANGE:', 0.9899670481681824)], [[[598.0, 1261.0], [681.0, 1261.0], [681.0, 1296.0], [598.0, 1296.0]], ('-9.55', 0.9733149409294128)], [[[196.0, 1349.0], [507.0, 1343.0], [508.0, 1399.0], [197.0, 1405.0]], ('>>Ticket#400<<', 0.9388796091079712)], [[[118.0, 1410.0], [584.0, 1403.0], [584.0, 1434.0], [119.0, 1441.0]], ('Created:1/14/2012 2:17:44 PM', 0.9270033836364746)], [[[120.0, 1450.0], [585.0, 1443.0], [586.0, 1474.0], [121.0, 1481.0]], ('SETTLED:1/14/20122:54:29PM', 0.9582379460334778)], [[[277.0, 1523.0], [443.0, 1519.0], [444.0, 1557.0], [278.0, 1562.0]], ('THANK YOU!', 0.923609733581543)]]	{"store_name": "COSITASRICAS", "store_addr": "79-19RooseveltAve, JacksonHeights,NY11372", "telephone": "(718)478-1500", "date": "1/14/2012 1/14/2012", "time": "2:54:29PM", "subtotal": "", "tax": "", "total": "$30.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PANCACHOGDE.", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BUNUELOS", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PANDEBONO", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PANDEUVA", "item_value": "6.75", "item_quantity": "1"}, {"item_key": "", "item_name": "HAMBURGUESJAMONQUESO", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "++WELLDONE", "item_value": "6.45", "item_quantity": "1"}, {"item_key": "", "item_name": "MARACUYA", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "++LECHE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CALDODECOSTILLA", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ENSALADDIA", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ESPERE....", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CAFEREGULAR", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "EMPANADA", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PANQUESOPEQ.", "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	[[[[114.0, 13.0], [204.0, 13.0], [204.0, 27.0], [114.0, 27.0]], ('HIGHLANDS COFFEE', 0.9331028461456299)], [[[47.0, 42.0], [259.0, 40.0], [259.0, 54.0], [47.0, 57.0]], ('92 Naa Ky Khoi Nghia Bistrict 1.HCHC', 0.8526297807693481)], [[[47.0, 57.0], [179.0, 56.0], [179.0, 71.0], [47.0, 72.0]], ('Tel:84-8)39147676', 0.9142217040061951)], [[[97.0, 88.0], [224.0, 84.0], [224.0, 108.0], [97.0, 111.0]], ('* Receipt *', 0.889238715171814)], [[[50.0, 130.0], [108.0, 130.0], [108.0, 141.0], [50.0, 141.0]], ('Check14681', 0.9917247891426086)], [[[167.0, 125.0], [276.0, 121.0], [276.0, 136.0], [167.0, 139.0]], ('20/05/201420:22:45', 0.9562654495239258)], [[[50.0, 145.0], [99.0, 145.0], [99.0, 156.0], [50.0, 156.0]], ('Table 48', 0.924144983291626)], [[[116.0, 143.0], [249.0, 137.0], [249.0, 151.0], [116.0, 158.0]], ('1 6uestsCS3-92NKKN', 0.8747437000274658)], [[[48.0, 175.0], [59.0, 172.0], [62.0, 184.0], [51.0, 187.0]], ('8', 0.9531815052032471)], [[[50.0, 202.0], [195.0, 198.0], [195.0, 213.0], [50.0, 216.0]], ('Iced-Coffee Condensedhilk', 0.9156448245048523)], [[[216.0, 200.0], [225.0, 200.0], [225.0, 208.0], [216.0, 208.0]], ('1', 0.8949310183525085)], [[[242.0, 195.0], [280.0, 195.0], [280.0, 210.0], [242.0, 210.0]], ('29,000', 0.8894087672233582)], [[[50.0, 217.0], [112.0, 217.0], [112.0, 231.0], [50.0, 231.0]], ('Lime Juice', 0.958096981048584)], [[[217.0, 214.0], [225.0, 214.0], [225.0, 223.0], [217.0, 223.0]], ('1', 0.9046293497085571)], [[[242.0, 211.0], [280.0, 209.0], [281.0, 224.0], [243.0, 227.0]], ('39,000', 0.9192970395088196)], [[[85.0, 246.0], [141.0, 244.0], [141.0, 259.0], [85.0, 262.0]], ('Sub-total', 0.9886395335197449)], [[[247.0, 240.0], [285.0, 240.0], [285.0, 255.0], [247.0, 255.0]], ('68,000', 0.9178555011749268)], [[[84.0, 262.0], [287.0, 254.0], [287.0, 270.0], [84.0, 278.0]], ('Gift voucher 20k for survey-20.000', 0.9160448908805847)], [[[86.0, 292.0], [148.0, 292.0], [148.0, 318.0], [86.0, 318.0]], ('Total', 0.9950370788574219)], [[[215.0, 288.0], [288.0, 286.0], [289.0, 313.0], [216.0, 315.0]], ('48,000', 0.9619695544242859)], [[[85.0, 339.0], [173.0, 335.0], [173.0, 351.0], [85.0, 354.0]], ('USD021.080000', 0.9514580368995667)], [[[256.0, 330.0], [292.0, 327.0], [294.0, 347.0], [258.0, 351.0]], ('2,277', 0.9355322122573853)], [[[256.0, 379.0], [296.0, 376.0], [297.0, 395.0], [257.0, 397.0]], ('48,000', 0.9316021800041199)], [[[86.0, 390.0], [116.0, 390.0], [116.0, 405.0], [86.0, 405.0]], ('Cash', 0.9925646781921387)]]	{"store_name": "HIGHMLANDSCOFFEE", "store_addr": "92NamKyKhoiNginia,District,NCMC", "telephone": "(84-8)39147676", "date": "20/05/2014", "time": "20:22:45", "subtotal": "68,000", "tax": "", "total": "48,000 48,000", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "iced-CoffeeCandengedmilk", "item_value": "29.000", "item_quantity": "1"}, {"item_key": "", "item_name": "LimeJuice", "item_value": "39,000", "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	[[[[219.0, 75.0], [338.0, 75.0], [338.0, 96.0], [219.0, 96.0]], ('ASTONS', 0.9974308609962463)], [[[122.0, 104.0], [432.0, 104.0], [432.0, 121.0], [122.0, 121.0]], ('SPECIALITIES-CT', 0.9766972064971924)], [[[148.0, 130.0], [355.0, 130.0], [355.0, 150.0], [148.0, 150.0]], ('80 Airport Boulevard', 0.9275919795036316)], [[[110.0, 158.0], [389.0, 158.0], [389.0, 178.0], [110.0, 178.0]], ('Viewing Ma11 Centra1 Leve1 3', 0.9153950810432434)], [[[120.0, 186.0], [395.0, 186.0], [395.0, 206.0], [120.0, 206.0]], ('#031-004E Changi Airport T1', 0.9354484677314758)], [[[98.0, 211.0], [400.0, 212.0], [400.0, 235.0], [98.0, 234.0]], ('Singapore 819642 Te1.65424709', 0.960931658744812)], [[[179.0, 242.0], [341.0, 242.0], [341.0, 262.0], [179.0, 262.0]], ('GST#200719983N', 0.9969137907028198)], [[[79.0, 270.0], [440.0, 270.0], [440.0, 287.0], [79.0, 287.0]], ('***********************************', 0.9430514574050903)], [[[79.0, 295.0], [240.0, 297.0], [240.0, 318.0], [79.0, 316.0]], ('13/03/2013 12:10', 0.9458582997322083)], [[[299.0, 297.0], [439.0, 295.0], [440.0, 316.0], [299.0, 318.0]], ('A211965', 0.9963150024414062)], [[[88.0, 324.0], [249.0, 324.0], [249.0, 345.0], [88.0, 345.0]], ('Qty Descriptions', 0.9622194766998291)], [[[378.0, 322.0], [443.0, 322.0], [443.0, 347.0], [378.0, 347.0]], ('Amount', 0.9988229870796204)], [[[80.0, 379.0], [420.0, 379.0], [420.0, 399.0], [80.0, 399.0]], ('REPRINTRECEIPT', 0.9763400554656982)], [[[109.0, 407.0], [290.0, 407.0], [290.0, 427.0], [109.0, 427.0]], ('1 PRIME TENDERLOIN', 0.9594686031341553)], [[[389.0, 404.0], [444.0, 404.0], [444.0, 429.0], [389.0, 429.0]], ('27.90', 0.9947659373283386)], [[[77.0, 434.0], [170.0, 434.0], [170.0, 455.0], [77.0, 455.0]], ('1RARE', 0.9017557501792908)], [[[398.0, 431.0], [445.0, 431.0], [445.0, 457.0], [398.0, 457.0]], ('0.00', 0.9946475625038147)], [[[77.0, 462.0], [250.0, 462.0], [250.0, 482.0], [77.0, 482.0]], ('1 FRENCH FRIES', 0.9173154234886169)], [[[400.0, 460.0], [444.0, 460.0], [444.0, 483.0], [400.0, 483.0]], ('0.00', 0.9926769733428955)], [[[77.0, 489.0], [258.0, 488.0], [258.0, 509.0], [77.0, 510.0]], ('1 GARDEN VEGGIE', 0.9346859455108643)], [[[400.0, 488.0], [444.0, 488.0], [444.0, 511.0], [400.0, 511.0]], ('0.00', 0.992642879486084)], [[[107.0, 517.0], [239.0, 517.0], [239.0, 538.0], [107.0, 538.0]], ('1 PORTERHOUSE', 0.9528346657752991)], [[[390.0, 514.0], [445.0, 514.0], [445.0, 540.0], [390.0, 540.0]], ('29.90', 0.9951627850532532)], [[[77.0, 545.0], [238.0, 545.0], [238.0, 565.0], [77.0, 565.0]], ('1MEDIUM RARE', 0.9277958273887634)], [[[399.0, 542.0], [446.0, 542.0], [446.0, 568.0], [399.0, 568.0]], ('0.00', 0.99517422914505)], [[[76.0, 573.0], [218.0, 573.0], [218.0, 594.0], [76.0, 594.0]], ('1BBQ BEANS', 0.9088325500488281)], [[[399.0, 570.0], [446.0, 570.0], [446.0, 596.0], [399.0, 596.0]], ('0.00', 0.9922148585319519)], [[[76.0, 602.0], [248.0, 602.0], [248.0, 623.0], [76.0, 623.0]], ('1 FRENCH FRIES', 0.9215935468673706)], [[[400.0, 599.0], [446.0, 599.0], [446.0, 626.0], [400.0, 626.0]], ('0.00', 0.9973238110542297)], [[[106.0, 631.0], [268.0, 631.0], [268.0, 652.0], [106.0, 652.0]], ('1 ICED LEMON TEA', 0.928900957107544)], [[[396.0, 627.0], [456.0, 629.0], [455.0, 656.0], [395.0, 654.0]], ('2.00', 0.9916239380836487)], [[[103.0, 659.0], [199.0, 659.0], [199.0, 683.0], [103.0, 683.0]], ('2FOC H20', 0.8808842897415161)], [[[393.0, 658.0], [460.0, 658.0], [460.0, 684.0], [393.0, 684.0]], ('0.00', 0.9900918006896973)], [[[72.0, 686.0], [169.0, 688.0], [168.0, 713.0], [72.0, 711.0]], ('*2 COLD', 0.8881189823150635)], [[[400.0, 686.0], [453.0, 686.0], [453.0, 712.0], [400.0, 712.0]], ('0.00', 0.9556474685668945)], [[[122.0, 745.0], [197.0, 745.0], [197.0, 770.0], [122.0, 770.0]], ('BAL.DUE', 0.9668774604797363)], [[[391.0, 744.0], [448.0, 744.0], [448.0, 770.0], [391.0, 770.0]], ('59.80', 0.9909110069274902)]]	{"store_name": "SPECIALITIES-CT1 ASTONS", "store_addr": "Singapore819642 #031-004EChangiAirportT1, ViewingMallCentralLevel3 80AirportBoulevard,", "telephone": "65424709", "date": "13/03/2013", "time": "12:10", "subtotal": "", "tax": "", "total": "59.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "COLD", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FOCH20", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ICEDLEMONTEA", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FRENCHFRIES", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BBQBEANS", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MEDIUMRARE", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PORTERHOUSE", "item_value": "29.90", "item_quantity": "1"}, {"item_key": "", "item_name": "GARDENVEGGIE", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FRENCHFRIES", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RARE", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PRIMETENDERLOIN", "item_value": "27.90", "item_quantity": "1"}, {"item_key": "Descriptions", "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	[[[[121.0, 40.0], [201.0, 40.0], [201.0, 53.0], [121.0, 53.0]], ('C\\Princesa,40', 0.9094623327255249)], [[[126.0, 53.0], [196.0, 53.0], [196.0, 64.0], [126.0, 64.0]], ('28008MADRID', 0.9252340793609619)], [[[83.0, 76.0], [130.0, 76.0], [130.0, 90.0], [83.0, 90.0]], ('8DARLIN', 0.9799095392227173)], [[[77.0, 101.0], [251.0, 97.0], [251.0, 114.0], [78.0, 118.0]], ('Fra286121214:53C110', 0.8828011751174927)], [[[89.0, 127.0], [188.0, 127.0], [188.0, 141.0], [89.0, 141.0]], ('1NeCITYS 16oz', 0.7539798021316528)], [[[101.0, 140.0], [144.0, 140.0], [144.0, 154.0], [101.0, 154.0]], ('12.00', 0.9619911909103394)], [[[207.0, 138.0], [237.0, 138.0], [237.0, 153.0], [207.0, 153.0]], ('12.00', 0.9774303436279297)], [[[99.0, 153.0], [167.0, 151.0], [168.0, 165.0], [100.0, 167.0]], ('762111768001', 0.9783900380134583)], [[[88.0, 165.0], [189.0, 164.0], [189.0, 178.0], [88.0, 179.0]], ('1Demiset 3oz CITy', 0.8437120914459229)], [[[101.0, 177.0], [139.0, 177.0], [139.0, 191.0], [101.0, 191.0]], ('7.20', 0.9662483930587769)], [[[211.0, 175.0], [238.0, 175.0], [238.0, 190.0], [211.0, 190.0]], ('7.20', 0.8632082939147949)], [[[101.0, 192.0], [146.0, 192.0], [146.0, 203.0], [101.0, 203.0]], ('EFECTIVO', 0.98841392993927)], [[[207.0, 189.0], [238.0, 189.0], [238.0, 204.0], [207.0, 204.0]], ('50,00', 0.9130271673202515)], [[[101.0, 216.0], [164.0, 216.0], [164.0, 230.0], [101.0, 230.0]], ('TOTAL ', 0.8291851282119751)], [[[209.0, 215.0], [239.0, 215.0], [239.0, 229.0], [209.0, 229.0]], ('19,20', 0.9317266345024109)], [[[101.0, 231.0], [162.0, 231.0], [162.0, 242.0], [101.0, 242.0]], ('TOT.PAGADO', 0.9577040076255798)], [[[208.0, 227.0], [239.0, 227.0], [239.0, 242.0], [208.0, 242.0]], ('19.20', 0.927220344543457)], [[[101.0, 243.0], [138.0, 243.0], [138.0, 257.0], [101.0, 257.0]], ('Casbio', 0.923598051071167)], [[[209.0, 241.0], [240.0, 241.0], [240.0, 255.0], [209.0, 255.0]], ('30.80', 0.9056183695793152)], [[[79.0, 284.0], [100.0, 284.0], [100.0, 296.0], [79.0, 296.0]], ('', 0.779081404209137)], [[[122.0, 282.0], [208.0, 281.0], [208.0, 295.0], [123.0, 296.0]], ('I.V.A.INCLUIDO', 0.913969099521637)], [[[238.0, 281.0], [257.0, 281.0], [257.0, 293.0], [238.0, 293.0]], ('', 0.7929801344871521)], [[[139.0, 311.0], [164.0, 311.0], [164.0, 323.0], [139.0, 323.0]], ('BASE', 0.9922424554824829)], [[[190.0, 309.0], [210.0, 309.0], [210.0, 323.0], [190.0, 323.0]], ('IVA', 0.9951572418212891)], [[[228.0, 308.0], [258.0, 308.0], [258.0, 322.0], [228.0, 322.0]], ('TOTAL', 0.9977045059204102)], [[[77.0, 325.0], [165.0, 323.0], [166.0, 337.0], [78.0, 340.0]], ('IVA8%=17.78', 0.8959317803382874)], [[[181.0, 324.0], [209.0, 321.0], [210.0, 337.0], [183.0, 340.0]], ('1,42', 0.8646447658538818)], [[[229.0, 322.0], [261.0, 322.0], [261.0, 338.0], [229.0, 338.0]], ('19.20', 0.9145764112472534)], [[[77.0, 354.0], [259.0, 350.0], [260.0, 365.0], [78.0, 368.0]], ('EmIte:STARBUCKS COFFEE ESPANA,SL', 0.8816788196563721)], [[[75.0, 368.0], [216.0, 364.0], [216.0, 382.0], [76.0, 385.0]], ('C/Pedro da Valdivia21', 0.91856449842453)], [[[77.0, 384.0], [250.0, 380.0], [250.0, 394.0], [78.0, 398.0]], ('28006-MADRIDCIFB-83115907', 0.9439745545387268)], [[[77.0, 398.0], [246.0, 395.0], [246.0, 409.0], [77.0, 412.0]], (' GRACIAS POR SU VISITA ', 0.9009942412376404)], [[[77.0, 413.0], [235.0, 409.0], [236.0, 423.0], [78.0, 427.0]], ('****IVA INCLUIDO******', 0.9069579839706421)], [[[77.0, 427.0], [240.0, 424.0], [240.0, 438.0], [78.0, 441.0]], ('FENSMOS MIFI PIDENOSEN CAJA', 0.862617552280426)]]	{"store_name": "COFFEE", "store_addr": "C\\Princesa,40 28008MADRID", "telephone": "", "date": "", "time": "14:53", "subtotal": "IVA8%=17,78", "tax": "1,42", "total": "19.20 19.20 19,20", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "NewCITYMUG16oz", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Demiset3ozCITY", "item_value": "7.20", "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	[[[[473.0, 355.0], [989.0, 339.0], [991.0, 419.0], [476.0, 435.0]], ('TIP TOP MEATS', 0.9481272101402283)], [[[362.0, 464.0], [1146.0, 442.0], [1148.0, 513.0], [364.0, 535.0]], ('6118 PASE0 DEL NORTE', 0.9183909296989441)], [[[395.0, 559.0], [1107.0, 543.0], [1109.0, 623.0], [397.0, 639.0]], ('CARLSBADCA 92011', 0.9690764546394348)], [[[480.0, 659.0], [1029.0, 649.0], [1030.0, 729.0], [481.0, 739.0]], ('760438-2620', 0.988351047039032)], [[[121.0, 951.0], [875.0, 945.0], [876.0, 1025.0], [121.0, 1031.0]], ('DATE 06/29/2014 SUN', 0.9471256136894226)], [[[984.0, 955.0], [1394.0, 945.0], [1396.0, 1019.0], [986.0, 1029.0]], ('TIME 19:23', 0.9359555244445801)], [[[356.0, 1049.0], [637.0, 1049.0], [637.0, 1131.0], [356.0, 1131.0]], ('GROCERY', 0.9976618885993958)], [[[1182.0, 1047.0], [1398.0, 1036.0], [1402.0, 1124.0], [1187.0, 1136.0]], ('$4.99', 0.9953756332397461)], [[[239.0, 1064.0], [290.0, 1064.0], [290.0, 1126.0], [239.0, 1126.0]], ('1', 0.9928126931190491)], [[[353.0, 1153.0], [636.0, 1146.0], [638.0, 1228.0], [355.0, 1235.0]], ('GROCERY', 0.9976495504379272)], [[[1183.0, 1147.0], [1399.0, 1139.0], [1402.0, 1225.0], [1186.0, 1233.0]], ('$4.99', 0.9137737154960632)], [[[239.0, 1158.0], [287.0, 1158.0], [287.0, 1226.0], [239.0, 1226.0]], ('1', 0.9944307208061218)], [[[356.0, 1253.0], [636.0, 1246.0], [638.0, 1329.0], [358.0, 1336.0]], ('GROCERY', 0.9974202513694763)], [[[1187.0, 1247.0], [1398.0, 1247.0], [1398.0, 1332.0], [1187.0, 1332.0]], ('$5.99', 0.9964996576309204)], [[[239.0, 1258.0], [287.0, 1258.0], [287.0, 1326.0], [239.0, 1326.0]], ('1', 0.9956789612770081)], [[[356.0, 1354.0], [636.0, 1346.0], [638.0, 1429.0], [358.0, 1436.0]], ('GROCERY', 0.9975490570068359)], [[[1187.0, 1347.0], [1398.0, 1347.0], [1398.0, 1433.0], [1187.0, 1433.0]], ('$5.29', 0.9965189695358276)], [[[356.0, 1454.0], [636.0, 1447.0], [638.0, 1530.0], [358.0, 1537.0]], ('GROCERY', 0.9975067973136902)], [[[1186.0, 1451.0], [1396.0, 1444.0], [1399.0, 1529.0], [1189.0, 1537.0]], ('$8.09', 0.9950445294380188)], [[[359.0, 1557.0], [636.0, 1550.0], [638.0, 1627.0], [361.0, 1634.0]], ('GROCERY', 0.9975388646125793)], [[[1187.0, 1548.0], [1401.0, 1548.0], [1401.0, 1634.0], [1187.0, 1634.0]], ('$7.29', 0.9741794466972351)], [[[248.0, 1560.0], [284.0, 1560.0], [284.0, 1625.0], [248.0, 1625.0]], ('1', 0.8074245452880859)], [[[362.0, 1654.0], [637.0, 1654.0], [637.0, 1728.0], [362.0, 1728.0]], ('GROCERY', 0.9974139928817749)], [[[1190.0, 1648.0], [1401.0, 1648.0], [1401.0, 1734.0], [1190.0, 1734.0]], ('$5.99', 0.9939662218093872)], [[[242.0, 1660.0], [287.0, 1660.0], [287.0, 1728.0], [242.0, 1728.0]], ('1', 0.9522099494934082)], [[[248.0, 1761.0], [284.0, 1761.0], [284.0, 1826.0], [248.0, 1826.0]], ('1', 0.8254178166389465)], [[[362.0, 1755.0], [637.0, 1755.0], [637.0, 1829.0], [362.0, 1829.0]], ('GROCERY', 0.9975672364234924)], [[[1193.0, 1755.0], [1398.0, 1755.0], [1398.0, 1832.0], [1193.0, 1832.0]], ('$7.99', 0.9965028762817383)], [[[242.0, 1858.0], [287.0, 1858.0], [287.0, 1929.0], [242.0, 1929.0]], ('1', 0.9607768654823303)], [[[362.0, 1855.0], [637.0, 1855.0], [637.0, 1929.0], [362.0, 1929.0]], ('GROCERY', 0.9975804686546326)], [[[1150.0, 1853.0], [1399.0, 1846.0], [1402.0, 1931.0], [1152.0, 1939.0]], ('$13.99', 0.9941325187683105)], [[[242.0, 1959.0], [287.0, 1959.0], [287.0, 2030.0], [242.0, 2030.0]], ('1', 0.9047840237617493)], [[[356.0, 1956.0], [639.0, 1949.0], [641.0, 2032.0], [358.0, 2039.0]], ('GROCERY', 0.9976014494895935)], [[[1190.0, 1953.0], [1401.0, 1953.0], [1401.0, 2038.0], [1190.0, 2038.0]], ('$6.99', 0.9387463331222534)], [[[359.0, 2056.0], [640.0, 2056.0], [640.0, 2139.0], [359.0, 2139.0]], ('GROCERY', 0.9977201819419861)], [[[1196.0, 2059.0], [1404.0, 2059.0], [1404.0, 2136.0], [1196.0, 2136.0]], ('$4.99', 0.9957189559936523)], [[[359.0, 2159.0], [565.0, 2159.0], [565.0, 2245.0], [359.0, 2245.0]], ('TOTAL', 0.9986684918403625)], [[[1153.0, 2157.0], [1404.0, 2157.0], [1404.0, 2239.0], [1153.0, 2239.0]], ('$76.59', 0.9961211681365967)], [[[362.0, 2266.0], [802.0, 2260.0], [804.0, 2339.0], [363.0, 2346.0]], ('CREDIT CARD', 0.9589189887046814)], [[[1156.0, 2260.0], [1407.0, 2260.0], [1407.0, 2346.0], [1156.0, 2346.0]], ('$76.59', 0.9961798787117004)], [[[438.0, 2370.0], [1044.0, 2363.0], [1045.0, 2443.0], [438.0, 2449.0]], ('0RDER#0240', 0.9327307343482971)], [[[640.0, 2473.0], [1004.0, 2466.0], [1006.0, 2549.0], [641.0, 2556.0]], ('NO.000140', 0.9414863586425781)], [[[1156.0, 2464.0], [1410.0, 2464.0], [1410.0, 2546.0], [1156.0, 2546.0]], ('REG 02', 0.9310309886932373)], [[[117.0, 2485.0], [481.0, 2472.0], [484.0, 2554.0], [120.0, 2568.0]], ('EMPLOYEE1', 0.9901292324066162)]]	{"store_name": "TIPTOPMEATS", "store_addr": "6118PASEODELNORTE CARLSBAD,CA92011", "telephone": "(760)438-2620", "date": "06/29/2014", "time": "19:23", "subtotal": "", "tax": "", "total": "$76.59", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GROCERY", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROCERY", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROCERY", "item_value": "$5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROCERY", "item_value": "$5.29", "item_quantity": "1"}, {"item_key": "", "item_name": "GROCERY", "item_value": "$8.09", "item_quantity": "1"}, {"item_key": "", "item_name": "GROCERY", "item_value": "$7.29", "item_quantity": "1"}, {"item_key": "", "item_name": "GROCERY", "item_value": "$5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROCERY", "item_value": "$7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROCERY", "item_value": "$13.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROCERY", "item_value": "$6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GROCERY", "item_value": "$4.99", "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	[[[[38.0, 31.0], [93.0, 37.0], [91.0, 51.0], [37.0, 45.0]], ('*07320006', 0.9014941453933716)], [[[109.0, 54.0], [205.0, 52.0], [206.0, 66.0], [110.0, 68.0]], ('Kung Fu Tea', 0.9371402263641357)], [[[70.0, 66.0], [239.0, 64.0], [239.0, 81.0], [70.0, 83.0]], ('5030 spring Mountain Rd', 0.9472740292549133)], [[[84.0, 79.0], [223.0, 78.0], [223.0, 92.0], [85.0, 93.0]], ('Las Vegas,NV 89146', 0.8917965292930603)], [[[83.0, 89.0], [224.0, 88.0], [224.0, 105.0], [84.0, 107.0]], ('Tel:702776-7077', 0.9273890852928162)], [[[72.0, 102.0], [237.0, 101.0], [237.0, 115.0], [72.0, 117.0]], ('facebook.com/kfteavegas', 0.9822061061859131)], [[[122.0, 126.0], [158.0, 126.0], [158.0, 144.0], [122.0, 144.0]], ('#81', 0.9967758059501648)], [[[33.0, 183.0], [140.0, 186.0], [140.0, 201.0], [33.0, 198.0]], ('Qt Description', 0.945283830165863)], [[[219.0, 186.0], [260.0, 188.0], [259.0, 202.0], [219.0, 200.0]], ('Price', 0.9913331866264343)], [[[39.0, 204.0], [210.0, 206.0], [210.0, 219.0], [38.0, 217.0]], ('1 M-MatchaRedBean Slush', 0.9429884552955627)], [[[215.0, 206.0], [259.0, 206.0], [259.0, 220.0], [215.0, 220.0]], ('$4.25', 0.9844806790351868)], [[[63.0, 223.0], [174.0, 223.0], [174.0, 236.0], [63.0, 236.0]], ('Bubble/Little s', 0.8866898417472839)], [[[221.0, 223.0], [260.0, 223.0], [260.0, 237.0], [221.0, 237.0]], ('$0.50', 0.9966980218887329)], [[[61.0, 234.0], [139.0, 235.0], [139.0, 249.0], [60.0, 248.0]], ('Nata Jelly', 0.9613326787948608)], [[[220.0, 235.0], [260.0, 233.0], [260.0, 248.0], [220.0, 250.0]], ('$0.50', 0.9937200546264648)], [[[54.0, 247.0], [187.0, 247.0], [187.0, 260.0], [54.0, 260.0]], ('L-Caramel M. slush', 0.9192254543304443)], [[[221.0, 246.0], [260.0, 246.0], [260.0, 260.0], [221.0, 260.0]], ('$5.00', 0.9976249933242798)], [[[62.0, 266.0], [153.0, 266.0], [153.0, 283.0], [62.0, 283.0]], ('Herbal Jelly', 0.9396478533744812)], [[[63.0, 260.0], [109.0, 260.0], [109.0, 271.0], [63.0, 271.0]], ('HalfS', 0.8952921032905579)], [[[221.0, 268.0], [261.0, 268.0], [261.0, 282.0], [221.0, 282.0]], ('$0.50', 0.9935451745986938)], [[[134.0, 285.0], [201.0, 287.0], [200.0, 301.0], [133.0, 299.0]], ('Subtotal:', 0.9839358925819397)], [[[214.0, 287.0], [262.0, 287.0], [262.0, 301.0], [214.0, 301.0]], ('$10.75', 0.9905533194541931)], [[[70.0, 298.0], [202.0, 298.0], [202.0, 312.0], [70.0, 312.0]], ('Sales and MB Sales', 0.9500902891159058)], [[[170.0, 309.0], [202.0, 309.0], [202.0, 323.0], [170.0, 323.0]], ('Tax:', 0.9807928204536438)], [[[221.0, 308.0], [262.0, 311.0], [262.0, 325.0], [221.0, 322.0]], ('$0.90', 0.9965351223945618)], [[[134.0, 337.0], [180.0, 340.0], [179.0, 354.0], [133.0, 351.0]], ('Total:', 0.9902473092079163)], [[[198.0, 340.0], [261.0, 344.0], [261.0, 362.0], [198.0, 358.0]], ('$11.65', 0.9979434013366699)], [[[30.0, 386.0], [189.0, 386.0], [189.0, 399.0], [30.0, 399.0]], ('Thank You For Your Business!', 0.9546709060668945)], [[[29.0, 399.0], [122.0, 399.0], [122.0, 412.0], [29.0, 412.0]], ('Please like us on', 0.9561547636985779)], [[[31.0, 411.0], [170.0, 413.0], [170.0, 427.0], [31.0, 425.0]], ('Facebook at KFTeaVegas!', 0.9557624459266663)], [[[31.0, 426.0], [158.0, 426.0], [158.0, 443.0], [31.0, 443.0]], ('Instagram #kfteavegas', 0.972131073474884)]]	{"store_name": "KungFuTea", "store_addr": "LasVegas,NV89146 5030SpringMountainRd", "telephone": "(702)776-7077", "date": "08/02/15", "time": "05:28PM 05:28PM", "subtotal": "$10.75", "tax": "$0.90", "total": "$11.65", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HerbalJelly", "item_value": "$0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Half5", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "L-CaramelM.Slush", "item_value": "$0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "NataJelly", "item_value": "$0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Bubble/Littles", "item_value": "$4.25", "item_quantity": "1"}, {"item_key": "", "item_name": "M-MatchaRedBeanSlush", "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	[[[[155.0, 28.0], [244.0, 36.0], [242.0, 50.0], [154.0, 42.0]], ('Cavendish &Ross', 0.9631576538085938)], [[[150.0, 42.0], [244.0, 49.0], [244.0, 63.0], [149.0, 56.0]], ('4903 Merrick Road', 0.9151521921157837)], [[[127.0, 56.0], [264.0, 64.0], [263.0, 78.0], [126.0, 70.0]], ('Massapequa Park. NY 11762', 0.9213447570800781)], [[[82.0, 82.0], [157.0, 87.0], [157.0, 101.0], [81.0, 96.0]], ('Server:Ramon', 0.9610043168067932)], [[[81.0, 97.0], [103.0, 97.0], [103.0, 112.0], [81.0, 112.0]], ('5/1', 0.9983234405517578)], [[[255.0, 89.0], [307.0, 93.0], [306.0, 108.0], [254.0, 104.0]], ('03/04/2016', 0.990157961845398)], [[[82.0, 111.0], [136.0, 114.0], [136.0, 128.0], [81.0, 125.0]], ('Guests:2', 0.9457061290740967)], [[[270.0, 105.0], [307.0, 105.0], [307.0, 121.0], [270.0, 121.0]], ('7:29PM', 0.9258062839508057)], [[[278.0, 120.0], [306.0, 120.0], [306.0, 134.0], [278.0, 134.0]], ('20002', 0.9993592500686646)], [[[82.0, 137.0], [196.0, 142.0], [196.0, 156.0], [81.0, 152.0]], ('Kettle 0ne 2 011.00', 0.8353862762451172)], [[[82.0, 150.0], [137.0, 153.0], [137.0, 167.0], [81.0, 165.0]], ('Diet Coke', 0.9649364948272705)], [[[277.0, 145.0], [305.0, 145.0], [305.0, 159.0], [277.0, 159.0]], ('22.00', 0.9953798055648804)], [[[82.0, 164.0], [189.0, 169.0], [188.0, 183.0], [81.0, 178.0]], ('G1s-Cab-Leatherwood', 0.9651867747306824)], [[[278.0, 167.0], [309.0, 170.0], [307.0, 184.0], [277.0, 181.0]], ('11.00', 0.9926053285598755)], [[[281.0, 158.0], [306.0, 158.0], [306.0, 170.0], [281.0, 170.0]], ('3.00', 0.9954174160957336)], [[[82.0, 178.0], [189.0, 182.0], [188.0, 196.0], [81.0, 192.0]], ('Back & Duck Nontons', 0.8934715390205383)], [[[280.0, 182.0], [309.0, 182.0], [309.0, 196.0], [280.0, 196.0]], ('12.00', 0.9936898350715637)], [[[81.0, 192.0], [244.0, 194.0], [244.0, 209.0], [81.0, 207.0]], ('Bone-in Ribeye 16oz 2 25.00)', 0.915749192237854)], [[[280.0, 195.0], [310.0, 195.0], [310.0, 209.0], [280.0, 209.0]], ('50.00', 0.9935262799263)], [[[81.0, 206.0], [186.0, 207.0], [186.0, 221.0], [81.0, 220.0]], ('Broc Rabe 2 @7.00', 0.9159132242202759)], [[[280.0, 206.0], [311.0, 208.0], [309.0, 223.0], [279.0, 221.0]], ('14.00', 0.9953855276107788)], [[[81.0, 220.0], [160.0, 221.0], [160.0, 235.0], [80.0, 234.0]], ('PORT288.00', 0.9432356953620911)], [[[281.0, 221.0], [309.0, 221.0], [309.0, 235.0], [281.0, 235.0]], ('16.00', 0.9947570562362671)], [[[81.0, 248.0], [175.0, 248.0], [175.0, 262.0], [81.0, 262.0]], ('Complete Subtotal', 0.9487577080726624)], [[[275.0, 246.0], [309.0, 246.0], [309.0, 260.0], [275.0, 260.0]], ('128.00', 0.9934763312339783)], [[[81.0, 274.0], [128.0, 274.0], [128.0, 288.0], [81.0, 288.0]], ('Subtotal', 0.9944157600402832)], [[[277.0, 272.0], [312.0, 272.0], [312.0, 286.0], [277.0, 286.0]], ('128.00', 0.9944667816162109)], [[[81.0, 286.0], [103.0, 289.0], [101.0, 304.0], [79.0, 301.0]], ('Tax', 0.9812138676643372)], [[[282.0, 284.0], [313.0, 287.0], [312.0, 302.0], [281.0, 299.0]], ('11.05', 0.9918662309646606)], [[[79.0, 317.0], [110.0, 314.0], [111.0, 329.0], [80.0, 332.0]], ('Total', 0.9790264964103699)], [[[281.0, 312.0], [318.0, 312.0], [318.0, 327.0], [281.0, 327.0]], ('139.05', 0.9944103360176086)], [[[78.0, 345.0], [208.0, 342.0], [208.0, 359.0], [79.0, 361.0]], ('Ba lance Due', 0.9253766536712646)], [[[252.0, 343.0], [319.0, 340.0], [320.0, 354.0], [252.0, 357.0]], ('139.05', 0.9939354062080383)], [[[112.0, 374.0], [285.0, 371.0], [285.0, 388.0], [112.0, 391.0]], ('Thank You for dining with us!', 0.9602130651473999)], [[[94.0, 391.0], [305.0, 386.0], [306.0, 402.0], [94.0, 407.0]], ('Follow us on Facebook and Instagram', 0.9530667066574097)], [[[99.0, 407.0], [307.0, 402.0], [307.0, 419.0], [100.0, 424.0]], ('www.cavendishandrosssteakhouse.com', 0.9646289944648743)], [[[165.0, 421.0], [242.0, 419.0], [242.0, 436.0], [166.0, 438.0]], ('516.308.7777', 0.9919982552528381)]]	{"store_name": "Cavendish&Ross", "store_addr": "4903MerrlckRoad MassapequaPark.NY11762", "telephone": "", "date": "03/04/2016", "time": "7:29PM", "subtotal": "128.00 128.00", "tax": "11.05", "total": "139.05 139.05", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "KettleOne([email protected])", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DietCoke", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Gls-Cab-Leatherwood", "item_value": "11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Back&DuckWontons", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Bone-inRibeye16oz([email protected])", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BrocRabe([email protected])", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PORT([email protected])", "item_value": "16.00", "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	[[[[238.0, 148.0], [354.0, 133.0], [356.0, 151.0], [240.0, 166.0]], ('Arbor Car Wash', 0.9413663148880005)], [[[216.0, 170.0], [376.0, 151.0], [378.0, 169.0], [219.0, 188.0]], ('10401 Jollyvile Rd.', 0.8619005084037781)], [[[246.0, 187.0], [348.0, 175.0], [350.0, 194.0], [248.0, 206.0]], ('512-346-8050', 0.9910674095153809)], [[[185.0, 233.0], [419.0, 209.0], [421.0, 231.0], [188.0, 255.0]], ('Car# 575WLS-TX', 0.9097588658332825)], [[[195.0, 275.0], [412.0, 255.0], [413.0, 275.0], [197.0, 295.0]], ('LP#575WLS-TX', 0.9654276371002197)], [[[319.0, 308.0], [475.0, 294.0], [476.0, 312.0], [320.0, 326.0]], ('07/05/0802:35PM', 0.976172685623169)], [[[142.0, 323.0], [245.0, 314.0], [246.0, 334.0], [144.0, 343.0]], ('WashCashier1,', 0.9842177033424377)], [[[320.0, 330.0], [476.0, 315.0], [477.0, 334.0], [321.0, 348.0]], ('Sale # 73034094336', 0.9449090957641602)], [[[143.0, 346.0], [292.0, 332.0], [293.0, 352.0], [145.0, 365.0]], ('Shift 1,Empl 1155', 0.9060511589050293)], [[[414.0, 364.0], [471.0, 359.0], [473.0, 379.0], [416.0, 384.0]], ('169.95', 0.9735742211341858)], [[[191.0, 384.0], [306.0, 372.0], [308.0, 393.0], [193.0, 405.0]], ('1 Comp.Detail', 0.9245087504386902)], [[[307.0, 416.0], [376.0, 412.0], [377.0, 432.0], [308.0, 436.0]], ('Subtotal', 0.9961625337600708)], [[[418.0, 409.0], [474.0, 405.0], [475.0, 424.0], [419.0, 428.0]], ('169.95', 0.9967362880706787)], [[[434.0, 430.0], [475.0, 426.0], [477.0, 446.0], [436.0, 451.0]], ('0.00', 0.9978001117706299)], [[[300.0, 440.0], [380.0, 434.0], [381.0, 453.0], [301.0, 459.0]], ('Sales Tax', 0.9628883004188538)], [[[333.0, 459.0], [379.0, 456.0], [380.0, 476.0], [334.0, 478.0]], ('Total', 0.9983944892883301)], [[[420.0, 454.0], [477.0, 449.0], [478.0, 468.0], [421.0, 473.0]], ('169.95', 0.9965946078300476)], [[[421.0, 496.0], [480.0, 492.0], [481.0, 515.0], [422.0, 519.0]], ('169.95', 0.9952730536460876)], [[[214.0, 511.0], [298.0, 504.0], [300.0, 523.0], [216.0, 531.0]], ('Visa x0078', 0.9493815302848816)], [[[217.0, 532.0], [371.0, 523.0], [372.0, 543.0], [218.0, 552.0]], ('Sale Appr #00573D', 0.9406657218933105)], [[[215.0, 577.0], [410.0, 567.0], [411.0, 585.0], [216.0, 596.0]], ('Arbor Car Wash and Lube', 0.9500696659088135)], [[[152.0, 603.0], [480.0, 587.0], [481.0, 606.0], [153.0, 621.0]], ('Bring this receipt back for $2 0ff your', 0.933559000492096)], [[[272.0, 620.0], [360.0, 615.0], [361.0, 634.0], [273.0, 639.0]], ('next wash!', 0.9510849118232727)], [[[153.0, 668.0], [485.0, 657.0], [485.0, 675.0], [154.0, 686.0]], ('5 Day Clean Car guarantee Wi th purchase', 0.9369364976882935)], [[[193.0, 688.0], [431.0, 681.0], [431.0, 700.0], [194.0, 706.0]], ("of a Ben's Special or above!", 0.9063949584960938)], [[[180.0, 712.0], [466.0, 705.0], [466.0, 722.0], [180.0, 729.0]], ('48 Raincheck for al1 other washes', 0.937137246131897)], [[[157.0, 734.0], [489.0, 727.0], [490.0, 747.0], [158.0, 753.0]], ('You have 1 washes toward your 11th Wash', 0.937204897403717)], [[[296.0, 752.0], [342.0, 754.0], [341.0, 775.0], [294.0, 772.0]], ('Free.', 0.9955741167068481)], [[[194.0, 802.0], [454.0, 802.0], [454.0, 817.0], [194.0, 817.0]], ('Ask our cashier how to join our', 0.9233343005180359)], [[[178.0, 823.0], [464.0, 826.0], [464.0, 841.0], [178.0, 838.0]], ('Preferred Customer Club to receive', 0.9581890106201172)], [[[187.0, 849.0], [464.0, 849.0], [464.0, 864.0], [187.0, 864.0]], ('special promotions and discounts!', 0.9572620987892151)]]	{"store_name": "ArborCarWash", "store_addr": "10401JollyvilleRd.", "telephone": "512-346-8050", "date": "07/05/08,", "time": "02:35PM", "subtotal": "169.95", "tax": "0.00", "total": "169.95 169.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "1Comp.Detail", "item_value": "169.95", "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	[[[[196.0, 56.0], [467.0, 57.0], [467.0, 75.0], [196.0, 74.0]], ('NOODLES RESTAURANT', 0.9771230220794678)], [[[196.0, 78.0], [468.0, 78.0], [468.0, 93.0], [196.0, 93.0]], ('6830SWBEAVERTON HD HWY', 0.9428463578224182)], [[[231.0, 98.0], [433.0, 98.0], [433.0, 116.0], [231.0, 116.0]], ('PORTLAND,OR97225', 0.9350685477256775)], [[[275.0, 118.0], [391.0, 118.0], [391.0, 135.0], [275.0, 135.0]], ('5032926480', 0.9980722665786743)], [[[247.0, 150.0], [420.0, 150.0], [420.0, 175.0], [247.0, 175.0]], ('ORDER:A18', 0.9408713579177856)], [[[277.0, 182.0], [387.0, 182.0], [387.0, 208.0], [277.0, 208.0]], ('DINE IN', 0.9625902771949768)], [[[120.0, 216.0], [264.0, 216.0], [264.0, 233.0], [120.0, 233.0]], ('Cashier:MARIE', 0.9553033113479614)], [[[117.0, 236.0], [326.0, 238.0], [326.0, 255.0], [117.0, 254.0]], ('08-0ct-2015 7:36:50P', 0.9133305549621582)], [[[114.0, 281.0], [127.0, 281.0], [127.0, 298.0], [114.0, 298.0]], ('1', 0.709947407245636)], [[[153.0, 280.0], [313.0, 282.0], [313.0, 304.0], [152.0, 302.0]], ('Seafood Linguini', 0.986355185508728)], [[[491.0, 279.0], [548.0, 279.0], [548.0, 301.0], [491.0, 301.0]], ('$9.95', 0.9972548484802246)], [[[113.0, 303.0], [126.0, 303.0], [126.0, 322.0], [113.0, 322.0]], ('7', 0.5584452748298645)], [[[150.0, 303.0], [373.0, 306.0], [373.0, 327.0], [150.0, 324.0]], ('Marinara With Sausage', 0.9771097898483276)], [[[492.0, 302.0], [550.0, 302.0], [550.0, 324.0], [492.0, 324.0]], ('$8.50', 0.997603714466095)], [[[110.0, 326.0], [128.0, 326.0], [128.0, 347.0], [110.0, 347.0]], ('2', 0.9953084588050842)], [[[151.0, 326.0], [207.0, 328.0], [206.0, 348.0], [150.0, 346.0]], ('Water', 0.9973729848861694)], [[[492.0, 325.0], [551.0, 325.0], [551.0, 347.0], [492.0, 347.0]], ('$0.00', 0.997822642326355)], [[[148.0, 349.0], [355.0, 350.0], [355.0, 371.0], [148.0, 370.0]], ('Cheesey Garlic Bread', 0.9672296643257141)], [[[492.0, 349.0], [551.0, 349.0], [551.0, 371.0], [492.0, 371.0]], ('$2.25', 0.9971655011177063)], [[[107.0, 395.0], [161.0, 395.0], [161.0, 418.0], [107.0, 418.0]], ('Total', 0.998582661151886)], [[[483.0, 395.0], [553.0, 395.0], [553.0, 417.0], [483.0, 417.0]], ('$20.70', 0.9968142509460449)], [[[104.0, 419.0], [140.0, 419.0], [140.0, 445.0], [104.0, 445.0]], ('Tip', 0.9985445141792297)], [[[495.0, 419.0], [554.0, 419.0], [554.0, 441.0], [495.0, 441.0]], ('$2.00', 0.998918890953064)], [[[104.0, 457.0], [288.0, 457.0], [288.0, 475.0], [104.0, 475.0]], ('DEBIT CARD SALE', 0.9342871308326721)], [[[485.0, 454.0], [557.0, 454.0], [557.0, 476.0], [485.0, 476.0]], ('$22.70', 0.9976094365119934)], [[[102.0, 493.0], [325.0, 493.0], [325.0, 510.0], [102.0, 510.0]], ('08-0ct-20157:38:49P', 0.9507123827934265)], [[[100.0, 518.0], [358.0, 518.0], [358.0, 535.0], [100.0, 535.0]], ('$22.70Method:SWIPED', 0.9384738802909851)], [[[98.0, 543.0], [435.0, 543.0], [435.0, 560.0], [98.0, 560.0]], ('Debit Card XXXXXXXXXXXX4845', 0.9130246639251709)], [[[94.0, 568.0], [487.0, 566.0], [487.0, 586.0], [94.0, 589.0]], ('Ref#:528200088725Auth#:630072', 0.9698376655578613)], [[[89.0, 595.0], [303.0, 593.0], [304.0, 613.0], [90.0, 616.0]], ('MID:984205379881', 0.9684871435165405)], [[[88.0, 621.0], [233.0, 621.0], [233.0, 642.0], [88.0, 642.0]], ('PIN VERIFIED', 0.9610597491264343)], [[[83.0, 677.0], [347.0, 674.0], [347.0, 695.0], [83.0, 698.0]], ('Order WGSQEN2RXHJJC', 0.9625114798545837)], [[[68.0, 822.0], [214.0, 820.0], [214.0, 842.0], [68.0, 844.0]], ('ONLINE ORDER', 0.9724721312522888)], [[[271.0, 877.0], [571.0, 877.0], [571.0, 901.0], [271.0, 901.0]], ('Save Time! Order Online at', 0.9309056401252747)], [[[271.0, 914.0], [463.0, 914.0], [463.0, 935.0], [271.0, 935.0]], ('OrderSpoon.com', 0.9951144456863403)]]	{"store_name": "NOODLESRESTAURANT", "store_addr": "6830SWBEAVERTONHDHWY PORTLAND,OR97225", "telephone": "5032926480", "date": "08-Oct-2015 08-Oct-2015", "time": "7:38:49P", "subtotal": "$20.70", "tax": "$2.00", "total": "$22.70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SeafoodLinguini", "item_value": "$9.95", "item_quantity": "1"}, {"item_key": "", "item_name": "MarinaraWithSausage", "item_value": "$8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Water", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CheeseyGarlicBread", "item_value": "$2.25", "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	[[[[130.0, 25.0], [230.0, 27.0], [229.0, 45.0], [130.0, 43.0]], ("Enrique's", 0.9809443950653076)], [[[148.0, 51.0], [216.0, 51.0], [216.0, 58.0], [148.0, 58.0]], ('STOUDOT-POED', 0.572923481464386)], [[[135.0, 77.0], [224.0, 75.0], [225.0, 89.0], [136.0, 92.0]], ('Enrique Palomo', 0.965192437171936)], [[[69.0, 150.0], [223.0, 147.0], [223.0, 161.0], [69.0, 164.0]], ("RESTAURANTE ENRIQUE'S", 0.9629566669464111)], [[[96.0, 178.0], [197.0, 176.0], [197.0, 190.0], [96.0, 192.0]], ('Urb.Dofa Lola.C.C.LC 37', 0.8179593086242676)], [[[102.0, 171.0], [190.0, 169.0], [190.0, 179.0], [102.0, 181.0]], ('Fat ia Farkouch Touhes', 0.7648284435272217)], [[[110.0, 188.0], [184.0, 187.0], [184.0, 198.0], [111.0, 199.0]], ('29849-MLJSCOSTA', 0.7507684230804443)], [[[119.0, 205.0], [176.0, 205.0], [176.0, 216.0], [119.0, 216.0]], ('NIF78122160-K', 0.9248812198638916)], [[[136.0, 198.0], [160.0, 198.0], [160.0, 207.0], [136.0, 207.0]], ('HALAGA', 0.8968461155891418)], [[[58.0, 230.0], [119.0, 230.0], [119.0, 240.0], [58.0, 240.0]], ('18/09/2018 22:04', 0.9468420743942261)], [[[172.0, 224.0], [214.0, 224.0], [214.0, 239.0], [172.0, 239.0]], ('Mesa 3 (SA)', 0.7832601070404053)], [[[56.0, 238.0], [156.0, 237.0], [157.0, 248.0], [56.0, 249.0]], ('Factura Simpificada2476', 0.8305308222770691)], [[[56.0, 256.0], [101.0, 256.0], [101.0, 267.0], [56.0, 267.0]], ('C.CONCEPTO', 0.9279055595397949)], [[[161.0, 255.0], [215.0, 255.0], [215.0, 266.0], [161.0, 266.0]], ('PRECIO IMPURTE', 0.8979921340942383)], [[[59.0, 275.0], [112.0, 275.0], [112.0, 285.0], [59.0, 285.0]], ('1 SOPA CASERA', 0.902102530002594)], [[[169.0, 275.0], [186.0, 275.0], [186.0, 283.0], [169.0, 283.0]], ('4.60', 0.775848925113678)], [[[199.0, 273.0], [216.0, 273.0], [216.0, 285.0], [199.0, 285.0]], ('4,60', 0.8551589846611023)], [[[168.0, 283.0], [187.0, 283.0], [187.0, 294.0], [168.0, 294.0]], ('1.50', 0.9709212779998779)], [[[199.0, 282.0], [216.0, 282.0], [216.0, 294.0], [199.0, 294.0]], ('3.00', 0.9757691621780396)], [[[58.0, 292.0], [109.0, 293.0], [108.0, 304.0], [58.0, 303.0]], ('PAN CE AJG', 0.823300838470459)], [[[168.0, 292.0], [187.0, 292.0], [187.0, 303.0], [168.0, 303.0]], ('1.95', 0.9314436912536621)], [[[168.0, 300.0], [187.0, 300.0], [187.0, 312.0], [168.0, 312.0]], ('7.95', 0.9405733346939087)], [[[198.0, 298.0], [218.0, 298.0], [218.0, 314.0], [198.0, 314.0]], ('7.95', 0.7922813296318054)], [[[199.0, 291.0], [217.0, 291.0], [217.0, 303.0], [199.0, 303.0]], ('1,95', 0.8960142135620117)], [[[59.0, 303.0], [130.0, 303.0], [130.0, 313.0], [59.0, 313.0]], ('I PENNE SICCILIANA', 0.8964627385139465)], [[[59.0, 312.0], [123.0, 312.0], [123.0, 323.0], [59.0, 323.0]], ('1LINSUINI NEGRO', 0.8251591324806213)], [[[166.0, 311.0], [188.0, 311.0], [188.0, 323.0], [166.0, 323.0]], ('10,95', 0.9300667643547058)], [[[195.0, 309.0], [218.0, 309.0], [218.0, 324.0], [195.0, 324.0]], ('10,95', 0.8950254321098328)], [[[57.0, 320.0], [133.0, 320.0], [133.0, 333.0], [57.0, 333.0]], ('OULANT CHOOLATE', 0.8044470548629761)], [[[168.0, 320.0], [188.0, 320.0], [188.0, 331.0], [168.0, 331.0]], ('8.00', 0.8435263633728027)], [[[198.0, 319.0], [218.0, 319.0], [218.0, 331.0], [198.0, 331.0]], ('6.00', 0.923431396484375)], [[[58.0, 332.0], [120.0, 332.0], [120.0, 344.0], [58.0, 344.0]], ('1 AGLA CON SAS', 0.8556489944458008)], [[[169.0, 330.0], [188.0, 330.0], [188.0, 343.0], [169.0, 343.0]], ('1,50', 0.8870422840118408)], [[[200.0, 328.0], [218.0, 328.0], [218.0, 342.0], [200.0, 342.0]], ('1,50', 0.8888161182403564)], [[[58.0, 341.0], [129.0, 341.0], [129.0, 352.0], [58.0, 352.0]], ('1 COPA BLANCO CASA', 0.8851626515388489)], [[[169.0, 341.0], [188.0, 341.0], [188.0, 352.0], [169.0, 352.0]], ('2.50', 0.8851261734962463)], [[[200.0, 340.0], [218.0, 340.0], [218.0, 352.0], [200.0, 352.0]], ('2,50', 0.9191572666168213)], [[[132.0, 361.0], [188.0, 361.0], [188.0, 372.0], [132.0, 372.0]], ('Sase taponible', 0.8544062376022339)], [[[196.0, 359.0], [218.0, 359.0], [218.0, 371.0], [196.0, 371.0]], ('34,95', 0.8954322934150696)], [[[133.0, 371.0], [188.0, 371.0], [188.0, 382.0], [133.0, 382.0]], ('I.V.A.10.00', 0.8325802087783813)], [[[199.0, 369.0], [219.0, 369.0], [219.0, 381.0], [199.0, 381.0]], ('3,50', 0.8732683658599854)], [[[106.0, 390.0], [207.0, 388.0], [208.0, 401.0], [107.0, 403.0]], ('Tota138,45', 0.8791974186897278)], [[[205.0, 391.0], [217.0, 391.0], [217.0, 399.0], [205.0, 399.0]], ('E', 0.6874727606773376)], [[[107.0, 411.0], [187.0, 410.0], [187.0, 421.0], [108.0, 422.0]], ('Le atandio: Gerente', 0.8793737292289734)], [[[106.0, 430.0], [190.0, 430.0], [190.0, 440.0], [106.0, 440.0]], ('GRACIAS POR SU VISITA', 0.9310070872306824)]]	{"store_name": "RESTAURANTENRIQUE'S", "store_addr": "29849-NIJASCOSTA", "telephone": "", "date": "18/09/2018", "time": "22:04", "subtotal": "34.95", "tax": "3.50", "total": "38.45\u20ac", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SOPACASERA", "item_value": "4.60", "item_quantity": "1"}, {"item_key": "", "item_name": "PANYMANTEQJILLA", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PANDEAJG", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "10.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "C.COMCEPIO", "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	[[[[104.0, 107.0], [212.0, 111.0], [212.0, 132.0], [104.0, 128.0]], ('SUNSET CAFE', 0.9598483443260193)], [[[118.0, 140.0], [188.0, 140.0], [188.0, 154.0], [118.0, 154.0]], ('Tel:492 2292', 0.906670868396759)], [[[57.0, 164.0], [203.0, 166.0], [202.0, 180.0], [57.0, 178.0]], ('Date:14-11-2014Tine:23:55', 0.928497850894928)], [[[57.0, 191.0], [121.0, 191.0], [121.0, 205.0], [57.0, 205.0]], ('Table 20', 0.9415534734725952)], [[[204.0, 192.0], [256.0, 192.0], [256.0, 206.0], [204.0, 206.0]], ('Covers:1', 0.9529936909675598)], [[[55.0, 203.0], [135.0, 204.0], [134.0, 218.0], [55.0, 217.0]], ('Waiter:Sasha', 0.9429330229759216)], [[[56.0, 218.0], [80.0, 218.0], [80.0, 230.0], [56.0, 230.0]], ('Dish', 0.9969227910041809)], [[[179.0, 217.0], [199.0, 217.0], [199.0, 233.0], [179.0, 233.0]], ('aty', 0.8824594020843506)], [[[239.0, 218.0], [255.0, 218.0], [255.0, 232.0], [239.0, 232.0]], ('Ant', 0.9679670333862305)], [[[55.0, 242.0], [105.0, 244.0], [104.0, 258.0], [55.0, 256.0]], ('Naked Dog', 0.9475491642951965)], [[[175.0, 243.0], [199.0, 243.0], [199.0, 258.0], [175.0, 258.0]], ('2.00', 0.9959024786949158)], [[[229.0, 243.0], [256.0, 243.0], [256.0, 258.0], [229.0, 258.0]], ('14.00', 0.9961796998977661)], [[[54.0, 257.0], [118.0, 257.0], [118.0, 271.0], [54.0, 271.0]], ('Prine Fillet', 0.9223807454109192)], [[[175.0, 256.0], [199.0, 256.0], [199.0, 271.0], [175.0, 271.0]], ('1.00', 0.9872164726257324)], [[[228.0, 255.0], [257.0, 258.0], [255.0, 273.0], [226.0, 270.0]], ('24.00', 0.9951359629631042)], [[[53.0, 269.0], [113.0, 271.0], [113.0, 285.0], [53.0, 283.0]], ('Pepsi Large', 0.9499969482421875)], [[[175.0, 268.0], [199.0, 271.0], [198.0, 286.0], [173.0, 283.0]], ('1.00', 0.9966492652893066)], [[[231.0, 269.0], [256.0, 269.0], [256.0, 284.0], [231.0, 284.0]], ('4.00', 0.9924620389938354)], [[[54.0, 286.0], [83.0, 286.0], [83.0, 297.0], [54.0, 297.0]], ('Juice', 0.9965157508850098)], [[[176.0, 284.0], [198.0, 284.0], [198.0, 296.0], [176.0, 296.0]], ('1.00', 0.9976305961608887)], [[[233.0, 284.0], [255.0, 284.0], [255.0, 296.0], [233.0, 296.0]], ('2.50', 0.9973708987236023)], [[[155.0, 310.0], [188.0, 310.0], [188.0, 324.0], [155.0, 324.0]], ('Total:', 0.988914966583252)], [[[229.0, 310.0], [257.0, 310.0], [257.0, 324.0], [229.0, 324.0]], ('44.50', 0.9919538497924805)], [[[53.0, 338.0], [182.0, 336.0], [182.0, 351.0], [53.0, 352.0]], ('GRATUITY IS NOT INCLUDED', 0.9204307198524475)], [[[52.0, 377.0], [73.0, 380.0], [70.0, 396.0], [49.0, 393.0]], ('AZN', 0.98619145154953)], [[[229.0, 379.0], [259.0, 379.0], [259.0, 394.0], [229.0, 394.0]], ('44.50', 0.9936256408691406)]]	{"store_name": "SUNSETCAFE", "store_addr": "", "telephone": "4922292", "date": "14-11-2014", "time": "23:55", "subtotal": "", "tax": "", "total": "Total: 44.50 44.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Juice", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PepsiLarge", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PrineFillet", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NakedDog", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "Dish", "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	[[[[164.0, 3.0], [190.0, 0.0], [193.0, 12.0], [167.0, 17.0]], ('LURE', 0.9818524718284607)], [[[153.0, 14.0], [201.0, 8.0], [202.0, 22.0], [154.0, 28.0]], ('FISH HOUSE', 0.9549162983894348)], [[[138.0, 26.0], [210.0, 19.0], [211.0, 33.0], [139.0, 40.0]], ('60 Callfornfa St.', 0.8776946663856506)], [[[138.0, 36.0], [212.0, 29.0], [213.0, 43.0], [139.0, 50.0]], ('Ventura.CA 93001', 0.8819143176078796)], [[[149.0, 44.0], [205.0, 39.0], [206.0, 53.0], [150.0, 58.0]], ('805-567-4400', 0.9587917923927307)], [[[87.0, 65.0], [145.0, 64.0], [145.0, 75.0], [87.0, 76.0]], ('Server:.Geena', 0.8670787215232849)], [[[221.0, 60.0], [271.0, 56.0], [272.0, 69.0], [222.0, 72.0]], ('01/13/2014', 0.9948463439941406)], [[[86.0, 74.0], [139.0, 72.0], [140.0, 86.0], [86.0, 88.0]], ('Table 52/1', 0.8813368678092957)], [[[234.0, 70.0], [270.0, 68.0], [271.0, 79.0], [235.0, 81.0]], ('2:31PM', 0.7931823134422302)], [[[86.0, 86.0], [127.0, 83.0], [128.0, 95.0], [87.0, 98.0]], ('Gueste:.6', 0.8144108653068542)], [[[245.0, 80.0], [271.0, 78.0], [272.0, 90.0], [246.0, 92.0]], ('60019', 0.9822872877120972)], [[[83.0, 103.0], [150.0, 101.0], [150.0, 115.0], [83.0, 117.0]], ('Dtet Coca Cola', 0.8740550875663757)], [[[250.0, 100.0], [271.0, 98.0], [272.0, 110.0], [251.0, 113.0]], ('3.00', 0.9956669807434082)], [[[84.0, 113.0], [187.0, 111.0], [187.0, 124.0], [84.0, 126.0]], ('Bowl of Choder & Salad', 0.8182801604270935)], [[[251.0, 110.0], [273.0, 110.0], [273.0, 122.0], [251.0, 122.0]], ('7.95', 0.9868870377540588)], [[[89.0, 124.0], [187.0, 121.0], [187.0, 134.0], [89.0, 137.0]], ('Half Stravberry Saiad', 0.8585593104362488)], [[[252.0, 121.0], [273.0, 121.0], [273.0, 132.0], [252.0, 132.0]], ('2.00', 0.9950532913208008)], [[[100.0, 134.0], [147.0, 134.0], [147.0, 145.0], [100.0, 145.0]], ('Add Sa Imon', 0.862084150314331)], [[[251.0, 132.0], [272.0, 129.0], [273.0, 141.0], [252.0, 144.0]], ('5.00', 0.9945533275604248)], [[[82.0, 146.0], [116.0, 146.0], [116.0, 157.0], [82.0, 157.0]], ('Sangrta', 0.921552300453186)], [[[250.0, 143.0], [273.0, 140.0], [274.0, 152.0], [251.0, 155.0]], ('7.00', 0.986382007598877)], [[[80.0, 155.0], [196.0, 152.0], [197.0, 166.0], [80.0, 169.0]], ('Live Maine Lobster 1.5 1b', 0.8962085247039795)], [[[248.0, 153.0], [274.0, 153.0], [274.0, 164.0], [248.0, 164.0]], ('24.95', 0.9935722351074219)], [[[82.0, 167.0], [150.0, 167.0], [150.0, 178.0], [82.0, 178.0]], ('Lobster Ravtoi1', 0.878192126750946)], [[[249.0, 163.0], [275.0, 163.0], [275.0, 175.0], [249.0, 175.0]], ('17.95', 0.98992919921875)], [[[79.0, 176.0], [158.0, 176.0], [158.0, 189.0], [79.0, 189.0]], ('Charbro1 Oysters', 0.9049170017242432)], [[[249.0, 174.0], [277.0, 174.0], [277.0, 187.0], [249.0, 187.0]], ('11.95', 0.985397219657898)], [[[79.0, 187.0], [145.0, 185.0], [145.0, 199.0], [79.0, 201.0]], ('WiId Maht Kahf', 0.6999360918998718)], [[[248.0, 185.0], [276.0, 183.0], [277.0, 197.0], [249.0, 200.0]], ('14.95', 0.9878687858581543)], [[[78.0, 199.0], [186.0, 199.0], [186.0, 212.0], [78.0, 212.0]], ('Bowl hite Clam Chowder', 0.8970988988876343)], [[[254.0, 198.0], [277.0, 198.0], [277.0, 210.0], [254.0, 210.0]], ('6.50', 0.9231021404266357)], [[[75.0, 221.0], [116.0, 221.0], [116.0, 235.0], [75.0, 235.0]], ('Subtotal', 0.9727529883384705)], [[[245.0, 219.0], [279.0, 219.0], [279.0, 233.0], [245.0, 233.0]], ('101.25', 0.990481436252594)], [[[76.0, 234.0], [93.0, 234.0], [93.0, 247.0], [76.0, 247.0]], ('Tax', 0.991832971572876)], [[[255.0, 231.0], [280.0, 231.0], [280.0, 246.0], [255.0, 246.0]], ('7.59', 0.9905179738998413)], [[[73.0, 256.0], [100.0, 256.0], [100.0, 271.0], [73.0, 271.0]], ('Total', 0.9941523671150208)], [[[248.0, 256.0], [281.0, 256.0], [281.0, 271.0], [248.0, 271.0]], ('108.84', 0.9909363389015198)], [[[71.0, 280.0], [179.0, 281.0], [179.0, 295.0], [71.0, 294.0]], ('Ba lance Due', 0.9394845962524414)], [[[219.0, 283.0], [279.0, 283.0], [279.0, 294.0], [219.0, 294.0]], ('108.84', 0.9985335469245911)], [[[133.0, 307.0], [215.0, 307.0], [215.0, 320.0], [133.0, 320.0]], ('Give the gift of', 0.9019923210144043)], [[[132.0, 319.0], [215.0, 320.0], [214.0, 334.0], [131.0, 333.0]], ('Lure Fish House!', 0.93473881483078)], [[[118.0, 333.0], [230.0, 333.0], [230.0, 346.0], [118.0, 346.0]], ('Buy a gift card today!', 0.9537670612335205)]]	{"store_name": "FISHHOUSE LURE", "store_addr": "", "telephone": "805-5657-4400", "date": "01/13/2014", "time": "2:31PM", "subtotal": "101.25", "tax": "7.59", "total": "108.84 108.84", "ignore": " 60019 ", "tips": "", "line_items": [{"item_key": "", "item_name": "LobsterRavioll", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "14.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "11.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "17.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "24.95", "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": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.00", "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, 11.0], [129.0, 11.0], [129.0, 26.0], [94.0, 26.0]], ('Fali', 0.7085904479026794)], [[[148.0, 10.0], [324.0, 6.0], [325.0, 20.0], [148.0, 24.0]], ('TAX INVOICE (ABB)/RECEIPT', 0.9228739738464355)], [[[148.0, 21.0], [351.0, 16.0], [352.0, 29.0], [148.0, 34.0]], ('n.n', 0.6082838177680969)], [[[149.0, 39.0], [246.0, 39.0], [246.0, 52.0], [149.0, 52.0]], ('nuF09', 0.8556739687919617)], [[[90.0, 66.0], [245.0, 63.0], [245.0, 76.0], [91.0, 79.0]], ('TaxID0105542019730', 0.9653275609016418)], [[[89.0, 78.0], [258.0, 75.0], [258.0, 89.0], [90.0, 93.0]], ('POS IDE01003000204635', 0.9521357417106628)], [[[88.0, 93.0], [211.0, 89.0], [211.0, 103.0], [89.0, 107.0]], ('Tax.Inv.No51327', 0.9864912629127502)], [[[86.0, 106.0], [312.0, 101.0], [312.0, 115.0], [87.0, 120.0]], ('Date2018-03-31Time21:16:51', 0.9564008116722107)], [[[84.0, 119.0], [237.0, 116.0], [237.0, 131.0], [84.0, 133.0]], ('TranNo201803310140', 0.9929895401000977)], [[[82.0, 133.0], [161.0, 132.0], [161.0, 146.0], [82.0, 147.0]], ('TableA05', 0.9878467917442322)], [[[291.0, 130.0], [356.0, 127.0], [357.0, 142.0], [292.0, 145.0]], ('Cover:1', 0.9233908653259277)], [[[71.0, 164.0], [125.0, 164.0], [125.0, 181.0], [71.0, 181.0]], ('Qty', 0.9684085249900818)], [[[171.0, 163.0], [369.0, 160.0], [370.0, 177.0], [171.0, 180.0]], ('DescriptionAmount', 0.9205935001373291)], [[[89.0, 182.0], [184.0, 180.0], [184.0, 194.0], [90.0, 196.0]], ('1SUSHI SET', 0.9426023364067078)], [[[321.0, 178.0], [369.0, 176.0], [370.0, 191.0], [322.0, 193.0]], ('220.00', 0.9965067505836487)], [[[90.0, 199.0], [115.0, 199.0], [115.0, 210.0], [90.0, 210.0]], ('1', 0.9376044273376465)], [[[108.0, 196.0], [239.0, 194.0], [239.0, 209.0], [109.0, 211.0]], ('IKA MARU YAKI SET', 0.9256033301353455)], [[[322.0, 194.0], [372.0, 194.0], [372.0, 208.0], [322.0, 208.0]], ('200.00', 0.9975953102111816)], [[[85.0, 212.0], [211.0, 211.0], [211.0, 225.0], [85.0, 226.0]], ('1GESO KARAAGE', 0.9484078288078308)], [[[331.0, 209.0], [374.0, 209.0], [374.0, 224.0], [331.0, 224.0]], ('90.00', 0.9984132051467896)], [[[85.0, 229.0], [99.0, 229.0], [99.0, 241.0], [85.0, 241.0]], ('1', 0.9912352561950684)], [[[105.0, 227.0], [238.0, 227.0], [238.0, 241.0], [105.0, 241.0]], ('YAKI GYOZA6 pcs', 0.9470599293708801)], [[[332.0, 225.0], [375.0, 225.0], [375.0, 240.0], [332.0, 240.0]], ('90.00', 0.998376727104187)], [[[82.0, 245.0], [102.0, 245.0], [102.0, 257.0], [82.0, 257.0]], ('1', 0.9845131039619446)], [[[105.0, 244.0], [237.0, 242.0], [237.0, 256.0], [106.0, 258.0]], ('BACON ENOKI ROLL', 0.9536742568016052)], [[[326.0, 241.0], [376.0, 241.0], [376.0, 256.0], [326.0, 256.0]], ('130.00', 0.997829258441925)], [[[81.0, 261.0], [102.0, 261.0], [102.0, 273.0], [81.0, 273.0]], ('1', 0.9582711458206177)], [[[102.0, 259.0], [236.0, 259.0], [236.0, 272.0], [102.0, 272.0]], ('SAKEOZEKI180ml', 0.8980759382247925)], [[[327.0, 258.0], [379.0, 258.0], [379.0, 274.0], [327.0, 274.0]], ('180.00', 0.9977814555168152)], [[[98.0, 274.0], [245.0, 275.0], [245.0, 292.0], [97.0, 291.0]], ('ASAHI BEERLARGE', 0.9714917540550232)], [[[329.0, 275.0], [381.0, 275.0], [381.0, 291.0], [329.0, 291.0]], ('180.00', 0.9979841113090515)], [[[213.0, 308.0], [289.0, 308.0], [289.0, 322.0], [213.0, 322.0]], ('Sub Total', 0.9552990794181824)], [[[322.0, 307.0], [385.0, 307.0], [385.0, 324.0], [322.0, 324.0]], ('1090.00', 0.9976842999458313)], [[[139.0, 326.0], [292.0, 326.0], [292.0, 344.0], [139.0, 344.0]], ('Service Charge 10%:', 0.9385241270065308)], [[[331.0, 325.0], [387.0, 325.0], [387.0, 344.0], [331.0, 344.0]], ('109.00', 0.9976963400840759)], [[[239.0, 345.0], [295.0, 345.0], [295.0, 362.0], [239.0, 362.0]], ('Total:', 0.9842033386230469)], [[[311.0, 348.0], [387.0, 348.0], [387.0, 362.0], [311.0, 362.0]], ('1,199.00', 0.9828327894210815)], [[[153.0, 365.0], [264.0, 365.0], [264.0, 382.0], [153.0, 382.0]], ('.VAT Included.', 0.9490112662315369)], [[[48.0, 382.0], [150.0, 384.0], [149.0, 404.0], [47.0, 402.0]], ('VAT7.00%', 0.9915500283241272)], [[[346.0, 386.0], [393.0, 386.0], [393.0, 404.0], [346.0, 404.0]], ('78.44', 0.9969828724861145)], [[[44.0, 404.0], [82.0, 404.0], [82.0, 423.0], [44.0, 423.0]], ('Cash', 0.9973954558372498)], [[[327.0, 408.0], [394.0, 408.0], [394.0, 426.0], [327.0, 426.0]], ('2000.00', 0.9979557394981384)], [[[40.0, 425.0], [133.0, 430.0], [132.0, 449.0], [39.0, 446.0]], ('Change:', 0.9921558499336243)], [[[317.0, 431.0], [394.0, 431.0], [394.0, 449.0], [317.0, 449.0]], ('801.00', 0.9768342971801758)]]	{"store_name": "Faji", "store_addr": "", "telephone": "", "date": "2018-03-31", "time": "21:16:51", "subtotal": "1090.00", "tax": "78.44", "total": "1,199.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ASAHIBEER(LARGE)", "item_value": "180.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SAKEOZEKI180ml", "item_value": "180.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BACONENOKIROLL", "item_value": "130.00", "item_quantity": "1"}, {"item_key": "", "item_name": "YAKIGYOZA(6pcs)", "item_value": "90.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GESOKARAAGE", "item_value": "90.00", "item_quantity": "1"}, {"item_key": "", "item_name": "IKAMARUYAKISET", "item_value": "200.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SUSHISET", "item_value": "220.00", "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	[[[[185.0, 130.0], [377.0, 126.0], [378.0, 158.0], [186.0, 162.0]], ('#Waka1 (10)', 0.8839187622070312)], [[[252.0, 175.0], [486.0, 171.0], [487.0, 195.0], [252.0, 200.0]], ('Charcoal Grill Diner', 0.9645528793334961)], [[[315.0, 205.0], [423.0, 205.0], [423.0, 225.0], [315.0, 225.0]], ('ZAKKUSHI', 0.9947603940963745)], [[[276.0, 232.0], [466.0, 229.0], [466.0, 251.0], [276.0, 253.0]], ('823 Denman Street', 0.961984395980835)], [[[248.0, 259.0], [491.0, 256.0], [491.0, 276.0], [248.0, 280.0]], ('VancouverBCV6G 2L7', 0.9622166156768799)], [[[256.0, 285.0], [483.0, 283.0], [483.0, 304.0], [256.0, 306.0]], ('Tel/Fax:604685-1136', 0.9637731313705444)], [[[190.0, 338.0], [403.0, 336.0], [404.0, 355.0], [190.0, 357.0]], ('Order# ZK0000044172', 0.9666479229927063)], [[[191.0, 365.0], [281.0, 365.0], [281.0, 383.0], [191.0, 383.0]], ('6/20/2007', 0.9969824552536011)], [[[465.0, 363.0], [573.0, 363.0], [573.0, 383.0], [465.0, 383.0]], ('1:39:10PM', 0.9035693407058716)], [[[189.0, 415.0], [203.0, 415.0], [203.0, 431.0], [189.0, 431.0]], ('2', 0.9970524311065674)], [[[225.0, 414.0], [383.0, 414.0], [383.0, 432.0], [225.0, 432.0]], ('Roll Set ROLL SET)', 0.8935022354125977)], [[[528.0, 412.0], [574.0, 412.0], [574.0, 431.0], [528.0, 431.0]], ('17.80', 0.9964981079101562)], [[[186.0, 441.0], [200.0, 439.0], [204.0, 456.0], [189.0, 459.0]], ('1', 0.9549089670181274)], [[[227.0, 442.0], [443.0, 442.0], [443.0, 457.0], [227.0, 457.0]], ('Tori Soboro Don (SOBORO)', 0.8872671127319336)], [[[538.0, 439.0], [574.0, 439.0], [574.0, 458.0], [538.0, 458.0]], ('6.80', 0.9962422251701355)], [[[190.0, 467.0], [203.0, 467.0], [203.0, 483.0], [190.0, 483.0]], ('1', 0.975618302822113)], [[[226.0, 466.0], [393.0, 466.0], [393.0, 484.0], [226.0, 484.0]], ('Zaru Soba (ZA-SOBA', 0.9206078052520752)], [[[536.0, 465.0], [574.0, 465.0], [574.0, 484.0], [536.0, 484.0]], ('4.80', 0.997191309928894)], [[[190.0, 493.0], [203.0, 493.0], [203.0, 510.0], [190.0, 510.0]], ('2', 0.9963182210922241)], [[[225.0, 492.0], [318.0, 494.0], [317.0, 512.0], [225.0, 510.0]], ('Tsukemono', 0.9966191053390503)], [[[538.0, 493.0], [574.0, 493.0], [574.0, 511.0], [538.0, 511.0]], ('4.00', 0.9978682994842529)], [[[190.0, 518.0], [203.0, 518.0], [203.0, 535.0], [190.0, 535.0]], ('1', 0.9888494610786438)], [[[225.0, 517.0], [391.0, 518.0], [390.0, 537.0], [225.0, 535.0]], ('Umezuke (UMEZUKE)', 0.9375777244567871)], [[[537.0, 518.0], [573.0, 518.0], [573.0, 537.0], [537.0, 537.0]], ('3.80', 0.997520923614502)], [[[190.0, 545.0], [203.0, 545.0], [203.0, 561.0], [190.0, 561.0]], ('1', 0.9658984541893005)], [[[225.0, 543.0], [410.0, 545.0], [410.0, 563.0], [225.0, 561.0]], ('Pork Ginger Tei P-G-T)', 0.9340924620628357)], [[[537.0, 545.0], [573.0, 545.0], [573.0, 563.0], [537.0, 563.0]], ('8.50', 0.9983169436454773)], [[[190.0, 571.0], [203.0, 571.0], [203.0, 587.0], [190.0, 587.0]], ('1', 0.9781529903411865)], [[[226.0, 568.0], [395.0, 571.0], [395.0, 589.0], [226.0, 587.0]], ('Salad Udon S-UDON)', 0.9436476826667786)], [[[537.0, 571.0], [573.0, 571.0], [573.0, 589.0], [537.0, 589.0]], ('5.80', 0.998397946357727)], [[[191.0, 596.0], [205.0, 596.0], [205.0, 612.0], [191.0, 612.0]], ('3', 0.9971691966056824)], [[[228.0, 595.0], [424.0, 595.0], [424.0, 613.0], [228.0, 613.0]], ('Curry Udon CURYUDON', 0.9517067074775696)], [[[529.0, 597.0], [572.0, 597.0], [572.0, 613.0], [529.0, 613.0]], ('17.40', 0.9950920343399048)], [[[191.0, 622.0], [204.0, 622.0], [204.0, 638.0], [191.0, 638.0]], ('1', 0.9862121343612671)], [[[226.0, 620.0], [358.0, 622.0], [358.0, 641.0], [226.0, 639.0]], ('Gomaae (GOMA)', 0.9461259245872498)], [[[536.0, 623.0], [572.0, 623.0], [572.0, 641.0], [536.0, 641.0]], ('3.50', 0.9977072477340698)], [[[191.0, 646.0], [205.0, 646.0], [205.0, 663.0], [191.0, 663.0]], ('3', 0.9971174001693726)], [[[226.0, 646.0], [415.0, 649.0], [414.0, 667.0], [226.0, 664.0]], ('Lunch PopTea L-POP', 0.9354997277259827)], [[[537.0, 650.0], [571.0, 650.0], [571.0, 666.0], [537.0, 666.0]], ('4.50', 0.9977482557296753)], [[[193.0, 674.0], [202.0, 674.0], [202.0, 686.0], [193.0, 686.0]], ('1', 0.9656561613082886)], [[[226.0, 671.0], [421.0, 674.0], [421.0, 693.0], [226.0, 690.0]], ('Tako Wasa TAKOWASA)', 0.9223381876945496)], [[[536.0, 675.0], [572.0, 675.0], [572.0, 693.0], [536.0, 693.0]], ('3.50', 0.9982151985168457)], [[[297.0, 725.0], [397.0, 729.0], [396.0, 752.0], [296.0, 749.0]], ('Subtotal', 0.9976456761360168)], [[[505.0, 727.0], [569.0, 727.0], [569.0, 751.0], [505.0, 751.0]], ('80.40', 0.9967839121818542)], [[[297.0, 752.0], [350.0, 752.0], [350.0, 775.0], [297.0, 775.0]], ('GST', 0.9962554574012756)], [[[518.0, 752.0], [571.0, 755.0], [570.0, 779.0], [517.0, 776.0]], ('4.82', 0.9976483583450317)], [[[296.0, 776.0], [359.0, 779.0], [358.0, 803.0], [295.0, 801.0]], ('Total', 0.9982415437698364)], [[[505.0, 781.0], [571.0, 781.0], [571.0, 804.0], [505.0, 804.0]], ('85.22', 0.9971784353256226)], [[[311.0, 900.0], [430.0, 904.0], [429.0, 923.0], [311.0, 919.0]], ('THANK YOU', 0.9622647166252136)], [[[249.0, 923.0], [492.0, 927.0], [492.0, 945.0], [249.0, 941.0]], ('GST #869335000 RT0001', 0.9518052935600281)]]	{"store_name": "CharcoalGrillDiner", "store_addr": "823DenmanStreet Vancouver,BC,V6G2L7", "telephone": "(604)685-1136", "date": "6/20/2007", "time": "1:39:10PM", "subtotal": "80.40", "tax": "4.82", "total": "85.22", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "RollSet(ROLLSET)", "item_value": "17.80", "item_quantity": "1"}, {"item_key": "", "item_name": "ToriSoboroDon(SOBORO)", "item_value": "6.80", "item_quantity": "1"}, {"item_key": "", "item_name": "ZaruSoba(ZA-SOBA)", "item_value": "4.80", "item_quantity": "1"}, {"item_key": "", "item_name": "Tsukemono", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Umezuke(UMEZUKE)", "item_value": "3.80", "item_quantity": "1"}, {"item_key": "", "item_name": "PorkGingerTei(P-G-T)", "item_value": "8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SaladUdon(S-UDON)", "item_value": "5.80", "item_quantity": "1"}, {"item_key": "", "item_name": "CurryUdon(CURYUDON)", "item_value": "17.40", "item_quantity": "1"}, {"item_key": "", "item_name": "Gomaae(GOMA)", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LunchPop,Tea(L-POP)", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TakoWasa(TAKOWASA)", "item_value": "3.50", "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	[[[[897.0, 214.0], [1547.0, 214.0], [1547.0, 306.0], [897.0, 306.0]], ('Khyen Chyen', 0.9744501113891602)], [[[758.0, 316.0], [1658.0, 299.0], [1659.0, 357.0], [759.0, 374.0]], ('ZNK Foods & Beverages Pvt.Ltd', 0.9398083090782166)], [[[914.0, 381.0], [1533.0, 370.0], [1534.0, 428.0], [915.0, 439.0]], ('G-19,DLF Cross Point', 0.9155497550964355)], [[[932.0, 449.0], [1533.0, 442.0], [1534.0, 500.0], [932.0, 507.0]], ('DLF Phase 4,Gurgaon', 0.9351316690444946)], [[[876.0, 520.0], [1588.0, 506.0], [1590.0, 564.0], [877.0, 578.0]], ('Contact0124-4231919', 0.9860683083534241)], [[[980.0, 585.0], [1477.0, 578.0], [1478.0, 639.0], [981.0, 646.0]], ('17/04/2015 21:07', 0.9555971622467041)], [[[1032.0, 656.0], [1425.0, 649.0], [1426.0, 710.0], [1033.0, 718.0]], ('Terminal No:4', 0.9168544411659241)], [[[1001.0, 728.0], [1443.0, 728.0], [1443.0, 785.0], [1001.0, 785.0]], ('15041504175295*', 0.9720882177352905)], [[[994.0, 799.0], [1443.0, 795.0], [1443.0, 857.0], [995.0, 860.0]], ('Invoice No:109', 0.9341279864311218)], [[[590.0, 869.0], [756.0, 878.0], [752.0, 939.0], [587.0, 931.0]], ('Eatin', 0.9979952573776245)], [[[591.0, 1013.0], [720.0, 1013.0], [720.0, 1078.0], [591.0, 1078.0]], ('Item', 0.9963606595993042)], [[[1339.0, 1010.0], [1436.0, 1010.0], [1436.0, 1078.0], [1339.0, 1078.0]], ('Qty', 0.9983075261116028)], [[[1513.0, 1006.0], [1864.0, 1006.0], [1864.0, 1074.0], [1513.0, 1074.0]], ('Unit Price', 0.9700314402580261)], [[[1404.0, 1149.0], [1863.0, 1142.0], [1864.0, 1203.0], [1405.0, 1211.0]], ('1200.00200.00', 0.9808955788612366)], [[[595.0, 1163.0], [1214.0, 1163.0], [1214.0, 1210.0], [595.0, 1210.0]], ('Tabakh Maaz Ony Me', 0.9515365958213806)], [[[581.0, 1231.0], [1012.0, 1231.0], [1012.0, 1289.0], [581.0, 1289.0]], ('Haakh (Hungry)', 0.9097986817359924)], [[[1401.0, 1224.0], [1863.0, 1217.0], [1864.0, 1275.0], [1402.0, 1282.0]], ('1 300.00300.00', 0.9601967930793762)], [[[577.0, 1295.0], [1158.0, 1299.0], [1158.0, 1360.0], [577.0, 1356.0]], ('A1-Yakhni Only Me', 0.8864986896514893)], [[[1401.0, 1296.0], [1867.0, 1288.0], [1868.0, 1346.0], [1402.0, 1354.0]], ('1225.00225.00', 0.994117021560669)], [[[574.0, 1366.0], [1009.0, 1374.0], [1008.0, 1435.0], [573.0, 1428.0]], ('Batta (Hungry', 0.9514439702033997)], [[[1401.0, 1367.0], [1870.0, 1360.0], [1871.0, 1418.0], [1402.0, 1425.0]], ('1200.00200.00', 0.993253767490387)], [[[575.0, 1441.0], [981.0, 1449.0], [980.0, 1510.0], [573.0, 1502.0]], ('Saffron Kehwa', 0.9792604446411133)], [[[1404.0, 1442.0], [1874.0, 1434.0], [1875.0, 1492.0], [1405.0, 1500.0]], ('1100.00100.00', 0.9942099452018738)], [[[1408.0, 1513.0], [1878.0, 1513.0], [1878.0, 1571.0], [1408.0, 1571.0]], ('1250.00250.00', 0.9929297566413879)], [[[577.0, 1523.0], [1221.0, 1523.0], [1221.0, 1581.0], [577.0, 1581.0]], ('Lahabdaar Kebab (Only', 0.9241265654563904)], [[[1408.0, 1588.0], [1878.0, 1588.0], [1878.0, 1646.0], [1408.0, 1646.0]], ('150.00 50.00', 0.9566155076026917)], [[[574.0, 1598.0], [977.0, 1598.0], [977.0, 1656.0], [574.0, 1656.0]], ('Mineral Water', 0.9577019810676575)], [[[1408.0, 1663.0], [1881.0, 1659.0], [1881.0, 1720.0], [1409.0, 1724.0]], ('1250.00250.00', 0.9944661855697632)], [[[570.0, 1673.0], [1224.0, 1673.0], [1224.0, 1731.0], [570.0, 1731.0]], ('Rogan Josh Mutton On', 0.9196343421936035)], [[[564.0, 1737.0], [946.0, 1745.0], [945.0, 1813.0], [563.0, 1805.0]], ('Doon Chutney', 0.9853277206420898)], [[[1411.0, 1738.0], [1884.0, 1730.0], [1885.0, 1792.0], [1412.0, 1799.0]], ('1100.00100.00', 0.9947895407676697)], [[[556.0, 1894.0], [844.0, 1886.0], [846.0, 1954.0], [558.0, 1962.0]], ('SUB TOTAL', 0.9639265537261963)], [[[1564.0, 1888.0], [1897.0, 1880.0], [1899.0, 1948.0], [1566.0, 1956.0]], ('Rs1675.00', 0.9884154796600342)], [[[1693.0, 1962.0], [1906.0, 1962.0], [1906.0, 2033.0], [1693.0, 2033.0]], ('Rs0.00', 0.9774210453033447)], [[[556.0, 1972.0], [695.0, 1972.0], [695.0, 2037.0], [556.0, 2037.0]], ('ZERO', 0.9957819581031799)], [[[552.0, 2051.0], [879.0, 2043.0], [880.0, 2111.0], [554.0, 2119.0]], ('[email protected]%', 0.947823703289032)], [[[1638.0, 2043.0], [1902.0, 2043.0], [1902.0, 2105.0], [1638.0, 2105.0]], ('Rs213.36', 0.9958084225654602)], [[[1673.0, 2125.0], [1906.0, 2125.0], [1906.0, 2186.0], [1673.0, 2186.0]], ('Rs82.75', 0.9951306581497192)], [[[549.0, 2135.0], [1098.0, 2128.0], [1099.0, 2186.0], [550.0, 2193.0]], ('Service TAX 4.94%', 0.9327743053436279)], [[[542.0, 2210.0], [1001.0, 2203.0], [1002.0, 2271.0], [543.0, 2278.0]], ('ROUNDUP AMOUNT', 0.9692749977111816)], [[[1579.0, 2207.0], [1906.0, 2207.0], [1906.0, 2268.0], [1579.0, 2268.0]], ('Rs1,971.00', 0.9453110694885254)], [[[539.0, 2292.0], [685.0, 2292.0], [685.0, 2366.0], [539.0, 2366.0]], ('Cash', 0.9968726634979248)], [[[1579.0, 2285.0], [1909.0, 2285.0], [1909.0, 2346.0], [1579.0, 2346.0]], ('Rs1.971.11', 0.9744824171066284)], [[[536.0, 2458.0], [807.0, 2458.0], [807.0, 2530.0], [536.0, 2530.0]], ('Items:9', 0.9589757919311523)], [[[1391.0, 2451.0], [1916.0, 2451.0], [1916.0, 2519.0], [1391.0, 2519.0]], ('Served by: E Tek', 0.9074671268463135)], [[[883.0, 2625.0], [1578.0, 2618.0], [1579.0, 2679.0], [884.0, 2686.0]], ('S.Tax-AAACZ8044NSD002', 0.984825611114502)], [[[866.0, 2710.0], [1596.0, 2703.0], [1596.0, 2761.0], [866.0, 2768.0]], ('TIN NUMBER APPLIED FOR', 0.9490212798118591)], [[[1040.0, 2788.0], [1440.0, 2788.0], [1440.0, 2856.0], [1040.0, 2856.0]], ('Thank You!!!', 0.9495134353637695)], [[[991.0, 3063.0], [1481.0, 3063.0], [1481.0, 3111.0], [991.0, 3111.0]], ('5041504175295', 0.9982331991195679)]]	{"store_name": "KhyenChyen", "store_addr": "G-19,DLFCrossPoint DLFPhase4,Gurgaon", "telephone": "0124-4231919", "date": "17/04/2015", "time": "21:07", "subtotal": "Rsl,675.00", "tax": "Rs213.36 Rs82.75", "total": "Rsl,971.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TabakhMaaz(OnlyMe)", "item_value": "200.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Haakh(Hungry)", "item_value": "300.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Al-Yakhni(OnlyMe)", "item_value": "225.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Batta(Hungry)", "item_value": "200.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SaffronKehwa", "item_value": "100.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LahabdaarKebab(Only", "item_value": "250.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MineralWater", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RoganJoshMutton(On", "item_value": "250.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DoonChutey", "item_value": "100.00", "item_quantity": "1"}, {"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	[[[[720.0, 252.0], [1568.0, 252.0], [1568.0, 357.0], [720.0, 357.0]], ('Khyen Chyen', 0.9684635400772095)], [[[535.0, 378.0], [1734.0, 346.0], [1736.0, 414.0], [537.0, 446.0]], ('ZNK Foods & Beverages Pvt.Ltd.', 0.9435787200927734)], [[[740.0, 456.0], [1567.0, 431.0], [1569.0, 499.0], [742.0, 524.0]], ('G-19.DLF Cross Point', 0.9379798769950867)], [[[768.0, 548.0], [1563.0, 523.0], [1566.0, 594.0], [770.0, 620.0]], ('DLF Phase 4,Gurgaon', 0.9410799145698547)], [[[694.0, 647.0], [1646.0, 604.0], [1649.0, 676.0], [698.0, 718.0]], ('Contact :0124 -4231919', 0.9314994215965271)], [[[837.0, 735.0], [1503.0, 706.0], [1507.0, 778.0], [840.0, 807.0]], ('17/04/201521:17', 0.9812257885932922)], [[[913.0, 824.0], [1430.0, 798.0], [1434.0, 879.0], [917.0, 905.0]], ('Terminal No:4', 0.9481115341186523)], [[[865.0, 929.0], [1454.0, 896.0], [1458.0, 968.0], [869.0, 1001.0]], ('T5041504179224*', 0.9932845830917358)], [[[864.0, 1021.0], [1464.0, 988.0], [1469.0, 1070.0], [869.0, 1103.0]], ('Invoice No:111', 0.9383564591407776)], [[[1325.0, 1183.0], [1467.0, 1183.0], [1467.0, 1275.0], [1325.0, 1275.0]], ('Qty', 0.9979442954063416)], [[[1567.0, 1177.0], [2032.0, 1162.0], [2035.0, 1244.0], [1570.0, 1259.0]], ('Unit Price', 0.9450874328613281)], [[[344.0, 1234.0], [511.0, 1234.0], [511.0, 1312.0], [344.0, 1312.0]], ('Item', 0.9959914684295654)], [[[1424.0, 1382.0], [2039.0, 1352.0], [2042.0, 1430.0], [1428.0, 1460.0]], ('1100.00 100.00', 0.9590164422988892)], [[[656.0, 1416.0], [1016.0, 1400.0], [1020.0, 1481.0], [660.0, 1497.0]], ('0n1y Me', 0.7885890603065491)], [[[350.0, 1432.0], [610.0, 1424.0], [613.0, 1499.0], [353.0, 1507.0]], ('Fireen', 0.9956267476081848)], [[[1706.0, 1569.0], [2052.0, 1553.0], [2056.0, 1634.0], [1710.0, 1650.0]], ('Rs100.00', 0.9970988035202026)], [[[347.0, 1619.0], [707.0, 1607.0], [710.0, 1689.0], [350.0, 1701.0]], ('SUB TOTAL', 0.9623548984527588)], [[[1751.0, 1671.0], [2059.0, 1654.0], [2063.0, 1736.0], [1756.0, 1752.0]], ('Rs13.13', 0.9946452379226685)], [[[347.0, 1718.0], [759.0, 1702.0], [763.0, 1784.0], [350.0, 1800.0]], ('Vat13.13%', 0.9901549816131592)], [[[1796.0, 1766.0], [2059.0, 1753.0], [2063.0, 1838.0], [1801.0, 1851.0]], ('Rs4.94', 0.9909749031066895)], [[[350.0, 1827.0], [1034.0, 1798.0], [1037.0, 1869.0], [353.0, 1898.0]], ('Service TAX 4.94%', 0.9217038154602051)], [[[1720.0, 1871.0], [2066.0, 1855.0], [2070.0, 1937.0], [1724.0, 1953.0]], ('Rs118.00', 0.9930922389030457)], [[[340.0, 1919.0], [912.0, 1896.0], [916.0, 1978.0], [343.0, 2000.0]], ('ROUNDUP AMOUNT', 0.9675885438919067)], [[[1724.0, 1969.0], [2070.0, 1958.0], [2073.0, 2039.0], [1727.0, 2051.0]], ('Rs118.07', 0.9934614896774292)], [[[341.0, 2013.0], [525.0, 2013.0], [525.0, 2101.0], [341.0, 2101.0]], ('Cash', 0.9960929155349731)], [[[1411.0, 2180.0], [2078.0, 2162.0], [2080.0, 2243.0], [1413.0, 2262.0]], ('Served by:E Tek', 0.9356669783592224)], [[[347.0, 2218.0], [679.0, 2206.0], [683.0, 2291.0], [350.0, 2303.0]], ('Items:1', 0.9060371518135071)], [[[792.0, 2408.0], [1650.0, 2383.0], [1652.0, 2454.0], [794.0, 2479.0]], ('S.Tax-AAACZ8044NSD002', 0.9727717041969299)], [[[771.0, 2513.0], [1675.0, 2488.0], [1677.0, 2560.0], [773.0, 2585.0]], ('TIN NUMBER APPLIED FOR', 0.9484933614730835)], [[[987.0, 2608.0], [1483.0, 2597.0], [1485.0, 2679.0], [989.0, 2690.0]], ('Thank You!!!', 0.9463582634925842)], [[[921.0, 2976.0], [1553.0, 2957.0], [1555.0, 3035.0], [923.0, 3054.0]], ('5041504179224', 0.9977662563323975)]]	{"store_name": "KhyenChyen", "store_addr": "G-19,DLFCrossPoint DLFPhase4,Gurgaon", "telephone": "Contact:0124-4231919", "date": "17/04/2015", "time": "21:17", "subtotal": "Rs100.00", "tax": "Rs13.13 Rs4.94", "total": "Rs118.00 Rs118.07", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Fireen(OnlyMe)", "item_value": "100.00", "item_quantity": "1"}, {"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	[[[[233.0, 20.0], [442.0, 28.0], [441.0, 49.0], [232.0, 41.0]], ('NODOOSK', 0.6126778721809387)], [[[223.0, 44.0], [416.0, 56.0], [415.0, 76.0], [221.0, 64.0]], ('Poi-fn fa-d k', 0.568517804145813)], [[[254.0, 66.0], [384.0, 74.0], [383.0, 91.0], [253.0, 83.0]], ('wwww5.cm', 0.638268232345581)], [[[181.0, 78.0], [442.0, 92.0], [441.0, 112.0], [180.0, 98.0]], ("Nando's Chickenland Malaysia", 0.9107469916343689)], [[[218.0, 100.0], [405.0, 110.0], [404.0, 131.0], [216.0, 121.0]], ('Sdn.8hd.451564-', 0.9077489376068115)], [[[219.0, 121.0], [415.0, 132.0], [414.0, 153.0], [217.0, 142.0]], ("Nando's I0l City Mal", 0.8112872242927551)], [[[255.0, 146.0], [382.0, 152.0], [381.0, 172.0], [254.0, 166.0]], ('LG-53 &LG-55', 0.9043480753898621)], [[[197.0, 165.0], [416.0, 175.0], [415.0, 196.0], [196.0, 186.0]], ('LG FloorI0I City Ma1', 0.8315677642822266)], [[[149.0, 186.0], [472.0, 201.0], [471.0, 221.0], [148.0, 206.0]], ('10I Resort City62502 Sepang Utara', 0.9016249179840088)], [[[159.0, 210.0], [463.0, 223.0], [463.0, 243.0], [158.0, 230.0]], ('Te1:03-83280789 Fax:03-383280790', 0.9377386569976807)], [[[215.0, 235.0], [399.0, 243.0], [398.0, 263.0], [214.0, 255.0]], ('GST I0:000087492992', 0.8646015524864197)], [[[114.0, 254.0], [208.0, 258.0], [207.0, 280.0], [113.0, 276.0]], ('3NANDOS2', 0.9657503366470337)], [[[406.0, 265.0], [504.0, 268.0], [503.0, 290.0], [406.0, 287.0]], ('205 SHAQIR', 0.9429971575737)], [[[114.0, 302.0], [195.0, 304.0], [195.0, 325.0], [113.0, 323.0]], ('Chk5591', 0.9944521188735962)], [[[445.0, 311.0], [506.0, 314.0], [505.0, 336.0], [444.0, 333.0]], ('Guest5', 0.9705256819725037)], [[[114.0, 325.0], [294.0, 331.0], [293.0, 355.0], [113.0, 349.0]], ('17 May 15 15:1728', 0.9101434350013733)], [[[417.0, 334.0], [506.0, 337.0], [505.0, 359.0], [417.0, 356.0]], ('TBL20/1', 0.9696399569511414)], [[[153.0, 375.0], [294.0, 379.0], [293.0, 400.0], [153.0, 396.0]], ('Full Platter-E', 0.9230234026908875)], [[[416.0, 379.0], [489.0, 381.0], [488.0, 406.0], [416.0, 404.0]], ('55.00 S', 0.8933078646659851)], [[[163.0, 400.0], [342.0, 405.0], [341.0, 426.0], [162.0, 421.0]], ('FulIPlatter(R)Side', 0.9313876628875732)], [[[173.0, 425.0], [236.0, 425.0], [236.0, 447.0], [173.0, 447.0]], ('1/2-LH', 0.9892262816429138)], [[[172.0, 448.0], [236.0, 448.0], [236.0, 473.0], [172.0, 473.0]], ('1/2-LH', 0.9877188801765442)], [[[172.0, 473.0], [312.0, 475.0], [312.0, 496.0], [171.0, 494.0]], ('ColeslawR-EC', 0.9021419882774353)], [[[171.0, 498.0], [295.0, 500.0], [294.0, 521.0], [170.0, 519.0]], ('CornR)KV-EC', 0.9364597797393799)], [[[170.0, 523.0], [294.0, 525.0], [293.0, 546.0], [169.0, 544.0]], ('Corn(R)KV-EC', 0.941572368144989)], [[[169.0, 548.0], [312.0, 550.0], [312.0, 571.0], [168.0, 569.0]], ('Med RiceR-EC', 0.9620844721794128)], [[[150.0, 582.0], [251.0, 582.0], [251.0, 596.0], [150.0, 596.0]], ('ALLInun', 0.6135116815567017)], [[[160.0, 600.0], [273.0, 600.0], [273.0, 621.0], [160.0, 621.0]], ('INSTRUCTION', 0.9959905743598938)], [[[146.0, 627.0], [292.0, 625.0], [293.0, 647.0], [146.0, 649.0]], ('CIBAI CUSTOMER', 0.9648113250732422)], [[[156.0, 652.0], [274.0, 650.0], [274.0, 674.0], [156.0, 676.0]], ('INSTRUCTION', 0.9956043362617493)], [[[425.0, 703.0], [481.0, 703.0], [481.0, 728.0], [425.0, 728.0]], ('55.00', 0.9974587559700012)], [[[131.0, 735.0], [282.0, 731.0], [283.0, 756.0], [132.0, 760.0]], ('Serv Chrg 10%', 0.9056626558303833)], [[[432.0, 730.0], [482.0, 728.0], [483.0, 754.0], [434.0, 756.0]], ('5.50', 0.9940648078918457)], [[[129.0, 762.0], [208.0, 760.0], [209.0, 785.0], [130.0, 787.0]], ('GST @6%', 0.9066067934036255)], [[[436.0, 756.0], [484.0, 756.0], [484.0, 782.0], [436.0, 782.0]], ('3.63', 0.9942967295646667)], [[[130.0, 790.0], [197.0, 790.0], [197.0, 815.0], [130.0, 815.0]], ('Total:', 0.9870272278785706)], [[[428.0, 784.0], [485.0, 784.0], [485.0, 809.0], [428.0, 809.0]], ('64.13', 0.994664192199707)], [[[127.0, 819.0], [260.0, 817.0], [260.0, 842.0], [127.0, 844.0]], ('Rounding Adj', 0.9539548754692078)], [[[437.0, 811.0], [486.0, 811.0], [486.0, 837.0], [437.0, 837.0]], ('0.02', 0.9946726560592651)], [[[125.0, 849.0], [283.0, 847.0], [284.0, 892.0], [126.0, 894.0]], ('Amt Due', 0.9396752715110779)], [[[365.0, 843.0], [475.0, 840.0], [476.0, 884.0], [367.0, 887.0]], ('64.15', 0.9883450269699097)], [[[160.0, 923.0], [454.0, 915.0], [454.0, 939.0], [161.0, 947.0]], ('For Take Away and Del ivery', 0.9171335697174072)]]	{"store_name": "Nando'sChikenlandMalsysia", "store_addr": "Nando'SIOICityMall LG-53&LG-55 LGFloor,IOICityMall IOIResortCity,82502SepangUtara", "telephone": "03-83280789", "date": "17May15", "time": "15:17:28", "subtotal": "55.00", "tax": "3.63", "total": "64.15", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FullPlatter-E", "item_value": "55.00S", "item_quantity": "1"}, {"item_key": "", "item_name": "FullPlatter(R)Side", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1/2-LH", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1/2-LH", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MedRice(R)-EC", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Corn(R)KV-EC", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Corn(R)KV-EC", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Coleslaw(R)-EC", "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	[[[[142.0, 47.0], [219.0, 51.0], [218.0, 67.0], [141.0, 62.0]], ('Panera Bread', 0.984555721282959)], [[[148.0, 63.0], [210.0, 65.0], [210.0, 80.0], [148.0, 77.0]], ('Cafe 0994', 0.93681401014328)], [[[127.0, 75.0], [232.0, 80.0], [231.0, 96.0], [127.0, 91.0]], ('DalasTX 75225', 0.9090114235877991)], [[[118.0, 88.0], [241.0, 95.0], [240.0, 112.0], [117.0, 105.0]], ('Phone:214-692-1299', 0.9717092514038086)], [[[120.0, 115.0], [231.0, 124.0], [230.0, 140.0], [119.0, 131.0]], ('Accuracy Matters,', 0.9322016835212708)], [[[43.0, 126.0], [303.0, 141.0], [302.0, 159.0], [42.0, 144.0]], ('Your order should be correct every time.', 0.9402667880058289)], [[[40.0, 140.0], [314.0, 154.0], [313.0, 174.0], [39.0, 160.0]], ("If it's not, we'll fix it right awayand", 0.9125586152076721)], [[[46.0, 158.0], [306.0, 169.0], [305.0, 186.0], [45.0, 176.0]], ('give you a free treat for your trouble.', 0.9555082321166992)], [[[83.0, 177.0], [270.0, 186.0], [269.0, 200.0], [82.0, 191.0]], ('Just let any associate know.', 0.9439634084701538)], [[[29.0, 205.0], [90.0, 207.0], [89.0, 224.0], [29.0, 222.0]], ('4/8/2017', 0.9962172508239746)], [[[28.0, 222.0], [178.0, 226.0], [177.0, 243.0], [28.0, 239.0]], ('CheckNumber:250581', 0.9647487998008728)], [[[219.0, 214.0], [289.0, 216.0], [289.0, 231.0], [219.0, 229.0]], ('2:23:18PM', 0.8935319185256958)], [[[192.0, 228.0], [318.0, 232.0], [317.0, 249.0], [192.0, 245.0]], ('Cashier: Patricia', 0.9469042420387268)], [[[49.0, 242.0], [137.0, 242.0], [137.0, 256.0], [49.0, 256.0]], ('1 You Pick 2', 0.8753042221069336)], [[[83.0, 256.0], [235.0, 261.0], [235.0, 278.0], [82.0, 273.0]], ('1 1/2 StrwbPoppy ChxSa', 0.9251005053520203)], [[[273.0, 263.0], [306.0, 263.0], [306.0, 281.0], [273.0, 281.0]], ('689', 0.8712145686149597)], [[[83.0, 273.0], [236.0, 278.0], [236.0, 296.0], [82.0, 290.0]], ('11/2 Stk WhteChed Pan', 0.9513444304466248)], [[[273.0, 278.0], [308.0, 281.0], [306.0, 300.0], [271.0, 297.0]], ('5.89', 0.9811458587646484)], [[[46.0, 290.0], [175.0, 292.0], [175.0, 309.0], [46.0, 307.0]], ('No Horseradish Sce', 0.9637877345085144)], [[[45.0, 307.0], [154.0, 309.0], [153.0, 327.0], [45.0, 324.0]], ('+Spicy Mustard', 0.9438140988349915)], [[[79.0, 325.0], [125.0, 325.0], [125.0, 344.0], [79.0, 344.0]], ('1 Soda', 0.9453288912773132)], [[[275.0, 331.0], [309.0, 331.0], [309.0, 351.0], [275.0, 351.0]], ('2.59', 0.9898514151573181)], [[[78.0, 341.0], [229.0, 348.0], [228.0, 365.0], [78.0, 358.0]], ('1 Choc Chipper Cookie', 0.9440732598304749)], [[[275.0, 348.0], [309.0, 351.0], [307.0, 370.0], [273.0, 367.0]], ('0.99', 0.9965967535972595)], [[[78.0, 359.0], [200.0, 364.0], [199.0, 381.0], [78.0, 376.0]], ('1 French Baguette', 0.9485280513763428)], [[[133.0, 377.0], [192.0, 380.0], [192.0, 398.0], [132.0, 396.0]], ('SubTotal', 0.9893028140068054)], [[[269.0, 385.0], [307.0, 385.0], [307.0, 403.0], [269.0, 403.0]], ('15.36', 0.992256760597229)], [[[134.0, 396.0], [160.0, 399.0], [158.0, 415.0], [132.0, 412.0]], ('Tax', 0.991852343082428)], [[[273.0, 400.0], [308.0, 403.0], [306.0, 421.0], [271.0, 418.0]], ('1.27', 0.9925245046615601)], [[[133.0, 415.0], [171.0, 415.0], [171.0, 433.0], [133.0, 433.0]], ('Total', 0.9946026802062988)], [[[268.0, 420.0], [306.0, 420.0], [306.0, 439.0], [268.0, 439.0]], ('16.63', 0.9962577819824219)], [[[131.0, 431.0], [199.0, 433.0], [198.0, 449.0], [130.0, 448.0]], ('Gift Card', 0.9727303981781006)], [[[268.0, 438.0], [305.0, 440.0], [304.0, 449.0], [268.0, 449.0]], ('16.63', 0.9843050241470337)]]	{"store_name": "PaneraBread Cafe0994", "store_addr": "Dallas,TX75225", "telephone": "214-692-1299", "date": "4/8/2017", "time": "2:23:18PM", "subtotal": "15.36", "tax": "1.27", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "1/2StrwbpoppyChxSa", "item_value": "5.89", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2StkWhteChedPan", "item_value": "5.89", "item_quantity": "1"}, {"item_key": "", "item_name": "+SpicyMustard", "item_value": "2.59", "item_quantity": "1"}, {"item_key": "", "item_name": "Soda", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocChipperCookie", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FrenchBaguette", "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	[[[[72.0, 22.0], [259.0, 0.0], [263.0, 36.0], [77.0, 60.0]], ('SusieCaRes', 0.9582117795944214)], [[[107.0, 73.0], [229.0, 73.0], [229.0, 87.0], [107.0, 87.0]], ('328 S.La Brea Avenue', 0.9343813061714172)], [[[106.0, 88.0], [229.0, 87.0], [229.0, 101.0], [106.0, 102.0]], ('Los AngelesCA 90036', 0.9487147331237793)], [[[130.0, 103.0], [203.0, 103.0], [203.0, 117.0], [130.0, 117.0]], ('323-266-2253', 0.9924824833869934)], [[[115.0, 118.0], [220.0, 118.0], [220.0, 131.0], [115.0, 131.0]], ('www.susiecakes.com', 0.9554195404052734)], [[[87.0, 157.0], [245.0, 160.0], [245.0, 180.0], [87.0, 177.0]], ('A La Carte -To Go', 0.8915603160858154)], [[[31.0, 216.0], [128.0, 216.0], [128.0, 232.0], [31.0, 232.0]], ('Server:Chavelia', 0.9716864228248596)], [[[256.0, 217.0], [311.0, 221.0], [310.0, 239.0], [255.0, 235.0]], ('09/24/16', 0.9958082437515259)], [[[30.0, 230.0], [88.0, 230.0], [88.0, 247.0], [30.0, 247.0]], ('Check #81', 0.9653863906860352)], [[[263.0, 234.0], [312.0, 237.0], [311.0, 253.0], [262.0, 251.0]], ('4:48PM', 0.9292595982551575)], [[[30.0, 261.0], [142.0, 261.0], [142.0, 275.0], [30.0, 275.0]], ('Celebration Cake 6', 0.9427406787872314)], [[[269.0, 265.0], [310.0, 267.0], [309.0, 282.0], [268.0, 280.0]], ('$36.00', 0.9962558150291443)], [[[29.0, 276.0], [183.0, 276.0], [183.0, 290.0], [29.0, 290.0]], ('Inscription Specialty Cake', 0.959486722946167)], [[[275.0, 279.0], [310.0, 282.0], [309.0, 298.0], [274.0, 295.0]], ('$3.00', 0.9969545602798462)], [[[28.0, 292.0], [118.0, 292.0], [118.0, 305.0], [28.0, 305.0]], ('Healthy CA 2%', 0.9131675958633423)], [[[274.0, 294.0], [311.0, 297.0], [310.0, 315.0], [272.0, 312.0]], ('$0.78', 0.9929134249687195)], [[[24.0, 320.0], [77.0, 320.0], [77.0, 337.0], [24.0, 337.0]], ('Subtotal', 0.9931519627571106)], [[[267.0, 324.0], [311.0, 329.0], [309.0, 346.0], [265.0, 341.0]], ('$39.78', 0.9873759150505066)], [[[27.0, 337.0], [44.0, 340.0], [42.0, 347.0], [25.0, 345.0]], ('Tax', 0.9097539782524109)]]	{"store_name": "SusieCakes", "store_addr": "328S.LaBreaAvenue LosAngeles,CA90036", "telephone": "323-266-2253", "date": "09/24/16", "time": "4:48PM", "subtotal": "$39.78", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CelebrationCake6\"", "item_value": "$36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "InscriptionSpecialtyCake", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HealthyCA(2%)", "item_value": "$0.78", "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	[[[[152.0, 9.0], [219.0, 9.0], [219.0, 30.0], [152.0, 30.0]], ('EC1R3BT', 0.9920214414596558)], [[[22.0, 45.0], [290.0, 47.0], [290.0, 68.0], [22.0, 66.0]], ('18/01/2018 13:51:56 16723000324', 0.9403820037841797)], [[[23.0, 65.0], [85.0, 70.0], [83.0, 88.0], [22.0, 83.0]], ('lucia t', 0.9233087301254272)], [[[18.0, 82.0], [156.0, 88.0], [155.0, 109.0], [17.0, 103.0]], ('POS4-Ti114', 0.9433904886245728)], [[[71.0, 125.0], [146.0, 128.0], [145.0, 145.0], [70.0, 142.0]], ('TAKE AWAY', 0.9457812905311584)], [[[35.0, 144.0], [48.0, 144.0], [48.0, 158.0], [35.0, 158.0]], ('1', 0.975162923336029)], [[[66.0, 144.0], [272.0, 146.0], [272.0, 166.0], [66.0, 164.0]], ('HOT WRAP FALAFEL HALOUMI', 0.9545494914054871)], [[[302.0, 147.0], [354.0, 147.0], [354.0, 165.0], [302.0, 165.0]], ('4.25', 0.886320948600769)], [[[34.0, 162.0], [46.0, 162.0], [46.0, 178.0], [34.0, 178.0]], ('1', 0.9663790464401245)], [[[68.0, 164.0], [179.0, 167.0], [178.0, 185.0], [67.0, 182.0]], ('HOT CHOCOLATE', 0.9696799516677856)], [[[302.0, 167.0], [355.0, 167.0], [355.0, 185.0], [302.0, 185.0]], ('2.40', 0.9831920862197876)], [[[69.0, 205.0], [225.0, 205.0], [225.0, 222.0], [69.0, 222.0]], ('INCLUSIVE TOTAL DUE', 0.9648990631103516)], [[[301.0, 203.0], [338.0, 203.0], [338.0, 223.0], [301.0, 223.0]], ('6.65', 0.953914225101471)], [[[65.0, 240.0], [107.0, 243.0], [105.0, 265.0], [64.0, 262.0]], ('AMEX', 0.9926555156707764)], [[[303.0, 242.0], [341.0, 242.0], [341.0, 261.0], [303.0, 261.0]], ('6.65', 0.9907863140106201)], [[[68.0, 284.0], [178.0, 284.0], [178.0, 301.0], [68.0, 301.0]], ('VAT BREAKDOWN', 0.958221435546875)], [[[66.0, 306.0], [79.0, 304.0], [82.0, 322.0], [69.0, 324.0]], ('%', 0.919561505317688)], [[[183.0, 302.0], [212.0, 302.0], [212.0, 322.0], [183.0, 322.0]], ('NET', 0.9969318509101868)], [[[248.0, 301.0], [278.0, 301.0], [278.0, 321.0], [248.0, 321.0]], ('TAX', 0.9960132241249084)], [[[298.0, 300.0], [343.0, 303.0], [342.0, 322.0], [297.0, 319.0]], ('Gross', 0.996627926826477)], [[[67.0, 325.0], [114.0, 325.0], [114.0, 345.0], [67.0, 345.0]], ('20.00', 0.993449866771698)], [[[171.0, 322.0], [212.0, 319.0], [213.0, 342.0], [173.0, 345.0]], ('5.54', 0.9937905669212341)], [[[241.0, 322.0], [276.0, 322.0], [276.0, 343.0], [241.0, 343.0]], ('1.11', 0.9949382543563843)], [[[303.0, 322.0], [360.0, 319.0], [361.0, 340.0], [304.0, 343.0]], ('6.65*', 0.9622589349746704)], [[[133.0, 365.0], [244.0, 361.0], [244.0, 382.0], [134.0, 385.0]], ('02077138885', 0.9960679411888123)], [[[117.0, 387.0], [260.0, 381.0], [260.0, 402.0], [118.0, 407.0]], ('VAT No.927137420', 0.9605497717857361)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "18/01/2018", "time": "13:51:56", "subtotal": "", "tax": "1.11", "total": "6.65 6.65 6.65", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HOTCHOCOLATE", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "", "item_name": "HOTWRAPFALAFELHALOUMI", "item_value": "4.25", "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	[[[[251.0, 14.0], [419.0, 18.0], [418.0, 39.0], [250.0, 35.0]], ('TUSCANY RISTORANTE', 0.9701735973358154)], [[[258.0, 39.0], [411.0, 42.0], [410.0, 62.0], [257.0, 59.0]], ('55 NORTON STREET', 0.9415543079376221)], [[[239.0, 62.0], [419.0, 65.0], [418.0, 87.0], [239.0, 83.0]], ('LEICHHAROT NS 2040', 0.9237123131752014)], [[[135.0, 83.0], [253.0, 87.0], [252.0, 108.0], [134.0, 104.0]], ('Server:Ivan', 0.9396963715553284)], [[[437.0, 88.0], [531.0, 88.0], [531.0, 110.0], [437.0, 110.0]], ('15/0', 0.9886175990104675)], [[[134.0, 106.0], [270.0, 109.0], [269.0, 130.0], [134.0, 128.0]], ('Cashier:DIANA', 0.9352858066558838)], [[[135.0, 129.0], [232.0, 131.0], [231.0, 152.0], [134.0, 150.0]], ('Table 51/1', 0.9238967895507812)], [[[461.0, 135.0], [531.0, 135.0], [531.0, 156.0], [461.0, 156.0]], ('9.38', 0.825936496257782)], [[[134.0, 153.0], [224.0, 153.0], [224.0, 174.0], [134.0, 174.0]], ('Guests:5', 0.9421811103820801)], [[[134.0, 218.0], [351.0, 221.0], [351.0, 241.0], [134.0, 238.0]], ('L-STILLWATER28.50', 0.937843918800354)], [[[481.0, 223.0], [530.0, 223.0], [530.0, 245.0], [481.0, 245.0]], ('17.00', 0.9800078272819519)], [[[133.0, 241.0], [397.0, 244.0], [397.0, 264.0], [133.0, 261.0]], ('LANTIPASTOMISTO2 17.50', 0.9262761473655701)], [[[478.0, 245.0], [529.0, 245.0], [529.0, 267.0], [478.0, 267.0]], ('35.00', 0.9945113062858582)], [[[133.0, 264.0], [396.0, 268.0], [396.0, 288.0], [133.0, 284.0]], ('CALAMAR1 PACIFICO 219.90', 0.8854207992553711)], [[[478.0, 266.0], [529.0, 269.0], [528.0, 291.0], [477.0, 288.0]], ('39.80', 0.9933595657348633)], [[[132.0, 287.0], [184.0, 287.0], [184.0, 308.0], [132.0, 308.0]], ('OLIVE', 0.9969703555107117)], [[[479.0, 291.0], [529.0, 291.0], [529.0, 313.0], [479.0, 313.0]], ('12.50', 0.9907501935958862)], [[[133.0, 308.0], [303.0, 311.0], [303.0, 332.0], [132.0, 329.0]], ('FREYIN4130.00', 0.966191828250885)], [[[467.0, 314.0], [528.0, 314.0], [528.0, 335.0], [467.0, 335.0]], ('520.00', 0.8810562491416931)], [[[132.0, 332.0], [320.0, 334.0], [320.0, 354.0], [132.0, 352.0]], ('BABY 60AT331.50)', 0.8842649459838867)], [[[477.0, 336.0], [528.0, 336.0], [528.0, 358.0], [477.0, 358.0]], ('94.50', 0.994369626045227)], [[[132.0, 354.0], [230.0, 356.0], [229.0, 377.0], [131.0, 375.0]], ('SPATCHCOCK', 0.9959592819213867)], [[[477.0, 358.0], [528.0, 358.0], [528.0, 380.0], [477.0, 380.0]], ('29.90', 0.9895190000534058)], [[[132.0, 376.0], [294.0, 378.0], [294.0, 398.0], [132.0, 396.0]], ('INSALATA RUGHETTA', 0.9226459860801697)], [[[479.0, 382.0], [527.0, 382.0], [527.0, 401.0], [479.0, 401.0]], ('12.50', 0.9977496266365051)], [[[132.0, 399.0], [292.0, 400.0], [292.0, 420.0], [132.0, 419.0]], ('INSALATA POMODORI', 0.9478449821472168)], [[[480.0, 404.0], [527.0, 404.0], [527.0, 423.0], [480.0, 423.0]], ('12.50', 0.9936440587043762)], [[[132.0, 420.0], [229.0, 422.0], [228.0, 444.0], [131.0, 441.0]], ('FLAT WHITE', 0.9303523302078247)], [[[484.0, 425.0], [528.0, 425.0], [528.0, 447.0], [484.0, 447.0]], ('4.00', 0.9805848598480225)], [[[131.0, 443.0], [237.0, 446.0], [236.0, 467.0], [130.0, 464.0]], ('SHORT BLACK', 0.9083878993988037)], [[[484.0, 448.0], [527.0, 448.0], [527.0, 471.0], [484.0, 471.0]], ('3.50', 0.9937979578971863)], [[[131.0, 466.0], [210.0, 469.0], [209.0, 490.0], [130.0, 487.0]], ('CAMOMILE', 0.9952868223190308)], [[[484.0, 472.0], [527.0, 472.0], [527.0, 494.0], [484.0, 494.0]], ('4.00', 0.9971462488174438)], [[[129.0, 490.0], [266.0, 492.0], [265.0, 513.0], [129.0, 511.0]], ('LIQUEUR COFFEE', 0.9590691328048706)], [[[484.0, 494.0], [527.0, 494.0], [527.0, 516.0], [484.0, 516.0]], ('9.90', 0.9907310605049133)], [[[149.0, 513.0], [229.0, 515.0], [228.0, 536.0], [148.0, 534.0]], ('Galliano', 0.8685054779052734)], [[[129.0, 536.0], [274.0, 538.0], [273.0, 559.0], [129.0, 557.0]], ('GL-SCRPT\\nCAB/S', 0.9475570321083069)], [[[478.0, 540.0], [527.0, 540.0], [527.0, 562.0], [478.0, 562.0]], ('16.50', 0.9962528944015503)], [[[137.0, 579.0], [219.0, 581.0], [218.0, 606.0], [136.0, 604.0]], ('22Items', 0.890777051448822)], [[[128.0, 651.0], [178.0, 651.0], [178.0, 675.0], [128.0, 675.0]], ('Total', 0.9934822916984558)], [[[464.0, 655.0], [527.0, 655.0], [527.0, 680.0], [464.0, 680.0]], ('811.60', 0.9243831634521484)], [[[127.0, 697.0], [234.0, 699.0], [233.0, 721.0], [126.0, 719.0]], ('Ba lance Due', 0.8342111706733704)], [[[445.0, 699.0], [527.0, 701.0], [527.0, 725.0], [444.0, 723.0]], ('$811.60', 0.9459899663925171)], [[[168.0, 766.0], [524.0, 769.0], [524.0, 790.0], [168.0, 787.0]], ('10% GSt-Net Amount 6Si Amunt6519', 0.8271868228912354)], [[[268.0, 858.0], [374.0, 858.0], [374.0, 879.0], [268.0, 879.0]], ('TAX INVOICE', 0.8945621252059937)], [[[240.0, 882.0], [411.0, 882.0], [411.0, 902.0], [240.0, 902.0]], ('ABN16 106 946 3Z7', 0.8729295134544373)], [[[190.0, 906.0], [458.0, 907.0], [458.0, 927.0], [190.0, 926.0]], ('.tuscanyristorante.com.au', 0.949531078338623)]]	{"store_name": "TUSCANYRISTORANTE", "store_addr": "LEICHHARDTNSW2040 55NORTONSTREET", "telephone": "", "date": "", "time": "9.38PM", "subtotal": "", "tax": "65.19", "total": "$811.60 811.60", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GL-SCRPT\\nCAB/S", "item_value": "16.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Galliano", "item_value": "9.90", "item_quantity": "1"}, {"item_key": "", "item_name": "LIDUEURCOFFEE", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CAMOMILE", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SHDRTBLACK", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FLATWHITE", "item_value": "12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "INSALATAPOMODORI", "item_value": "12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "INSALATARUGIIETTA", "item_value": "29.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SPATCHCOCK", "item_value": "94.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BABYGOAT", "item_value": "520.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FREYIN", "item_value": "12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "OLIVE", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CALAMARIPACIFICO", "item_value": "35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "L\u2019ANTIPASTOMISTO", "item_value": "39.80", "item_quantity": "1"}, {"item_key": "", "item_name": "L-STILLWATER", "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	[[[[142.0, 52.0], [217.0, 52.0], [217.0, 66.0], [142.0, 66.0]], ('More saving', 0.9646894931793213)], [[[143.0, 66.0], [216.0, 66.0], [216.0, 78.0], [143.0, 78.0]], ('More doing.', 0.9428436160087585)], [[[14.0, 150.0], [176.0, 146.0], [176.0, 160.0], [15.0, 165.0]], ('CASHIER SELF CHECK OUT ', 0.928351879119873)], [[[16.0, 177.0], [209.0, 173.0], [209.0, 186.0], [16.0, 190.0]], ('032888105232 1/2 GAS VALVA>', 0.9244973063468933)], [[[243.0, 173.0], [273.0, 173.0], [273.0, 184.0], [243.0, 184.0]], ('8.67', 0.9338177442550659)], [[[34.0, 189.0], [253.0, 185.0], [253.0, 199.0], [35.0, 204.0]], ('1/2GAS BALL.VALVE FPT LEVER HDL', 0.9276413917541504)], [[[15.0, 203.0], [191.0, 198.0], [192.0, 213.0], [16.0, 217.0]], ('078864177466 PTFE TAPE <A>', 0.9090773463249207)], [[[246.0, 198.0], [275.0, 198.0], [275.0, 212.0], [246.0, 212.0]], ('2.59', 0.9922643899917603)], [[[34.0, 215.0], [256.0, 211.0], [256.0, 225.0], [35.0, 229.0]], ('1/2X260PTFE THRD SEAL TAPE GAS', 0.9364149570465088)], [[[16.0, 229.0], [209.0, 225.0], [209.0, 238.0], [16.0, 243.0]], ('032888992795 1/2X3BLKNIPL<A>', 0.9405446648597717)], [[[244.0, 224.0], [276.0, 222.0], [278.0, 237.0], [246.0, 240.0]], ('1.54', 0.9937490224838257)], [[[34.0, 241.0], [158.0, 239.0], [158.0, 254.0], [35.0, 256.0]], ('1/2X3BLK NIPPLE', 0.9531806111335754)], [[[16.0, 255.0], [203.0, 251.0], [203.0, 265.0], [16.0, 269.0]], ('019442151874 PIPE NIPPLE <A>', 0.9248400330543518)], [[[246.0, 250.0], [277.0, 250.0], [277.0, 265.0], [246.0, 265.0]], ('0.96', 0.9955819845199585)], [[[35.0, 267.0], [184.0, 265.0], [184.0, 279.0], [36.0, 281.0]], ('1/2X1-1/2BLK NIPPLE', 0.9588844180107117)], [[[16.0, 281.0], [213.0, 277.0], [214.0, 290.0], [16.0, 295.0]], ('0486430713153/8BRBXMIPAD <A>', 0.9098479151725769)], [[[247.0, 276.0], [278.0, 276.0], [278.0, 292.0], [247.0, 292.0]], ('3.12', 0.9941763281822205)], [[[35.0, 294.0], [277.0, 289.0], [277.0, 304.0], [36.0, 308.0]], ('PB225 3/3 X3/8 ID BARB X MIP ADAPTE', 0.8970797657966614)], [[[17.0, 307.0], [211.0, 304.0], [212.0, 318.0], [17.0, 321.0]], ('032888406759 1/2 CAP BLAC <A>', 0.9247583150863647)], [[[247.0, 303.0], [278.0, 303.0], [278.0, 317.0], [247.0, 317.0]], ('1.47', 0.9974555373191833)], [[[36.0, 320.0], [122.0, 318.0], [122.0, 332.0], [37.0, 335.0]], ('1/2BLKCAP', 0.9866244792938232)], [[[17.0, 334.0], [211.0, 329.0], [212.0, 344.0], [17.0, 348.0]], ('048643072619 PIPE BUSHING <A>', 0.9252679944038391)], [[[247.0, 328.0], [279.0, 328.0], [279.0, 344.0], [247.0, 344.0]], ('2.80', 0.9937830567359924)], [[[36.0, 346.0], [270.0, 342.0], [270.0, 356.0], [37.0, 360.0]], ('PB110 1/2X3/8 BRASS PIPE BUSHING', 0.9283089637756348)], [[[17.0, 360.0], [212.0, 357.0], [213.0, 371.0], [17.0, 374.0]], ('019442147631 1/2 TEEBLAC A>', 0.9305416345596313)], [[[246.0, 356.0], [279.0, 354.0], [281.0, 369.0], [248.0, 372.0]], ('2.34', 0.9926376342773438)], [[[37.0, 373.0], [120.0, 371.0], [120.0, 386.0], [38.0, 388.0]], ('1/2BLK TEE', 0.9481695294380188)], [[[132.0, 399.0], [185.0, 399.0], [185.0, 410.0], [132.0, 410.0]], ('SUBTOTAL', 0.9937329292297363)], [[[242.0, 396.0], [279.0, 394.0], [281.0, 409.0], [244.0, 412.0]], ('23.49', 0.9916356801986694)], [[[130.0, 410.0], [195.0, 409.0], [195.0, 424.0], [130.0, 426.0]], ('SALES TAX', 0.9563221335411072)], [[[249.0, 408.0], [281.0, 408.0], [281.0, 423.0], [249.0, 423.0]], ('1.41', 0.9934808015823364)], [[[132.0, 425.0], [169.0, 425.0], [169.0, 439.0], [132.0, 439.0]], ('TOTAL', 0.9983202219009399)], [[[238.0, 421.0], [281.0, 421.0], [281.0, 437.0], [238.0, 437.0]], ('$24.90', 0.9944946765899658)], [[[19.0, 441.0], [102.0, 439.0], [102.0, 453.0], [19.0, 455.0]], ('XXXXXXXXXXXX', 0.7601017355918884)], [[[242.0, 436.0], [282.0, 433.0], [283.0, 449.0], [243.0, 451.0]], ('24.90', 0.9938605427742004)], [[[262.0, 449.0], [282.0, 445.0], [285.0, 463.0], [265.0, 466.0]], ('TA', 0.9968340396881104)], [[[18.0, 467.0], [155.0, 463.0], [155.0, 480.0], [18.0, 483.0]], ('P.O.#/JOBNAMENONE', 0.9625641107559204)]]	{"store_name": "THE HOME DEPOT", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "23.49", "tax": "1.41", "total": "$24.90 24.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GASVALV<A>", "item_value": "8.67", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2\"GASBALL.VALVEFPTLEVERHDL", "item_value": "2.59", "item_quantity": "1"}, {"item_key": "", "item_name": "PTFETAPE<A>", "item_value": "1.54", "item_quantity": "1"}, {"item_key": "", "item_name": "PTFETHRDSEALTAPEGAS", "item_value": "0.96", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2X3BLKNIPL<A>", "item_value": "3.12", "item_quantity": "1"}, {"item_key": "", "item_name": "BLKNIPPLE", "item_value": "1.47", "item_quantity": "1"}, {"item_key": "", "item_name": "PIPENIPPLE<A>", "item_value": "2.80", "item_quantity": "1"}, {"item_key": "", "item_name": "BLKNIPPLE", "item_value": "2.34", "item_quantity": "1"}, {"item_key": "", "item_name": "3/8BRBXMIPAD<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1/2CAPBLAC<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1/2\"BLKCAP", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PIPEBUSHING<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PB1101/2X3/8BRASSPIPEBUSHING", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1/2TEEBLAC<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1/2\"BLKTEE", "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	[[[[225.0, 48.0], [440.0, 46.0], [440.0, 88.0], [225.0, 90.0]], ('Retail) Ltd', 0.9145156741142273)], [[[216.0, 94.0], [418.0, 91.0], [419.0, 114.0], [217.0, 117.0]], ('HarrogateHG1 1BJ', 0.9641072154045105)], [[[203.0, 120.0], [340.0, 120.0], [340.0, 141.0], [203.0, 141.0]], ('01423507100', 0.9959582686424255)], [[[163.0, 148.0], [345.0, 145.0], [346.0, 166.0], [163.0, 169.0]], ('wwww.weetons.com', 0.9216845035552979)], [[[158.0, 173.0], [341.0, 170.0], [341.0, 191.0], [158.0, 194.0]], ('VAT No:851006855', 0.9048636555671692)], [[[231.0, 198.0], [266.0, 198.0], [266.0, 217.0], [231.0, 217.0]], ('*', 0.9895333647727966)], [[[84.0, 225.0], [415.0, 220.0], [416.0, 241.0], [85.0, 246.0]], ('Date:27 Mar 2017Time:08:11:48', 0.9067433476448059)], [[[177.0, 249.0], [318.0, 247.0], [319.0, 268.0], [178.0, 270.0]], ('Operator:Sara', 0.9637908935546875)], [[[152.0, 273.0], [341.0, 270.0], [341.0, 293.0], [153.0, 296.0]], ('Terminal:Cafe Ti11', 0.8949245810508728)], [[[229.0, 298.0], [264.0, 298.0], [264.0, 318.0], [229.0, 318.0]], ('', 0.9818296432495117)], [[[31.0, 322.0], [133.0, 324.0], [133.0, 348.0], [31.0, 346.0]], ('Sold Items', 0.9658400416374207)], [[[423.0, 322.0], [443.0, 322.0], [443.0, 349.0], [423.0, 349.0]], ('f', 0.9171172380447388)], [[[29.0, 352.0], [170.0, 352.0], [170.0, 373.0], [29.0, 373.0]], ('BUTCHERS ROSTI', 0.9739855527877808)], [[[417.0, 350.0], [466.0, 350.0], [466.0, 377.0], [417.0, 377.0]], ('7.95', 0.9948678612709045)], [[[25.0, 378.0], [109.0, 378.0], [109.0, 403.0], [25.0, 403.0]], ('OMELETTE', 0.9964994788169861)], [[[42.0, 406.0], [390.0, 408.0], [390.0, 432.0], [42.0, 430.0]], ('small egg & tom omlette for weird', 0.9289736747741699)], [[[41.0, 434.0], [125.0, 436.0], [124.0, 461.0], [40.0, 459.0]], ('freak\\11', 0.9858313798904419)], [[[422.0, 437.0], [473.0, 437.0], [473.0, 466.0], [422.0, 466.0]], ('2.50', 0.9903177618980408)], [[[36.0, 464.0], [403.0, 468.0], [403.0, 493.0], [36.0, 489.0]], ('5.50-55% Discount.Saving 3.00', 0.9406750202178955)], [[[13.0, 494.0], [206.0, 496.0], [206.0, 520.0], [12.0, 518.0]], ('FRESH ORANGE JUICE', 0.9555943608283997)], [[[424.0, 498.0], [477.0, 498.0], [477.0, 528.0], [424.0, 528.0]], ('2.95', 0.9920129776000977)], [[[223.0, 527.0], [261.0, 527.0], [261.0, 551.0], [223.0, 551.0]], ('', 0.9680055975914001)], [[[5.0, 553.0], [181.0, 557.0], [180.0, 584.0], [4.0, 580.0]], ('Sold Items Total', 0.9535201787948608)], [[[419.0, 561.0], [483.0, 561.0], [483.0, 592.0], [419.0, 592.0]], ('13.40', 0.9934853315353394)], [[[222.0, 592.0], [262.0, 592.0], [262.0, 618.0], [222.0, 618.0]], ('*', 0.977347195148468)], [[[2.0, 619.0], [158.0, 623.0], [157.0, 639.0], [2.0, 636.0]], ('Vou.have.caved', 0.7496288418769836)]]	{"store_name": "Retail)Ltd", "store_addr": "", "telephone": "01423507100", "date": "27Mar2017", "time": "08:11:48", "subtotal": "", "tax": "", "total": "13.40", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FRESHORANGEJUICE", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "freak\\11", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "smallegg&tomomletteforweird", "item_value": "7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "OMELETTE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BUTCHERSROSTI", "item_value": "", "item_quantity": ""}, {"item_key": "SoldItems", "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	[[[[186.0, 4.0], [262.0, 4.0], [262.0, 21.0], [186.0, 21.0]], ('ADRAK', 0.9983089566230774)], [[[156.0, 21.0], [286.0, 22.0], [286.0, 39.0], [156.0, 38.0]], ('15 Wertheim Court', 0.9425696134567261)], [[[156.0, 43.0], [286.0, 43.0], [286.0, 57.0], [156.0, 57.0]], ('Richmond Hi11.0y', 0.8702566623687744)], [[[150.0, 61.0], [292.0, 61.0], [292.0, 75.0], [150.0, 75.0]], ('Te1905889-800', 0.9492079019546509)], [[[64.0, 99.0], [171.0, 99.0], [171.0, 117.0], [64.0, 117.0]], ('Server:Bhomik', 0.9605789184570312)], [[[223.0, 98.0], [316.0, 98.0], [316.0, 116.0], [223.0, 116.0]], ('Check:37820', 0.9631665945053101)], [[[64.0, 116.0], [142.0, 119.0], [141.0, 137.0], [63.0, 134.0]], ('Table35', 0.98172527551651)], [[[222.0, 119.0], [355.0, 116.0], [356.0, 134.0], [222.0, 136.0]], ('Date17/03/2018', 0.9966227412223816)], [[[64.0, 137.0], [137.0, 137.0], [137.0, 154.0], [64.0, 154.0]], ('Guests:7', 0.9437170028686523)], [[[222.0, 137.0], [364.0, 136.0], [364.0, 153.0], [222.0, 154.0]], ('Time10:52:25PM', 0.9494310617446899)], [[[63.0, 175.0], [76.0, 175.0], [76.0, 190.0], [63.0, 190.0]], ('2', 0.9907469749450684)], [[[93.0, 174.0], [158.0, 174.0], [158.0, 192.0], [93.0, 192.0]], ('VS Kebab', 0.939590573310852)], [[[344.0, 174.0], [389.0, 174.0], [389.0, 192.0], [344.0, 192.0]], ('30.00', 0.9961555600166321)], [[[63.0, 193.0], [76.0, 193.0], [76.0, 209.0], [63.0, 209.0]], ('2', 0.9953710436820984)], [[[94.0, 191.0], [195.0, 193.0], [195.0, 210.0], [93.0, 208.0]], ('Kadhai Paneer', 0.9634736776351929)], [[[345.0, 192.0], [389.0, 192.0], [389.0, 210.0], [345.0, 210.0]], ('34.00', 0.9963622093200684)], [[[63.0, 211.0], [76.0, 211.0], [76.0, 228.0], [63.0, 228.0]], ('2', 0.9933591485023499)], [[[95.0, 211.0], [238.0, 211.0], [238.0, 228.0], [95.0, 228.0]], ('Vegetarian Jalfrezi', 0.9756563901901245)], [[[344.0, 211.0], [389.0, 211.0], [389.0, 229.0], [344.0, 229.0]], ('34.00', 0.9957635998725891)], [[[64.0, 229.0], [77.0, 229.0], [77.0, 245.0], [64.0, 245.0]], ('4', 0.9989125728607178)], [[[94.0, 227.0], [144.0, 229.0], [143.0, 247.0], [93.0, 245.0]], ('R Roti', 0.9216356873512268)], [[[345.0, 230.0], [390.0, 230.0], [390.0, 248.0], [345.0, 248.0]], ('24.00', 0.9959070086479187)], [[[64.0, 248.0], [77.0, 248.0], [77.0, 264.0], [64.0, 264.0]], ('4', 0.5590853691101074)], [[[95.0, 248.0], [143.0, 248.0], [143.0, 263.0], [95.0, 263.0]], ('T Roti', 0.9005293250083923)], [[[347.0, 249.0], [390.0, 249.0], [390.0, 267.0], [347.0, 267.0]], ('16.00', 0.9977095723152161)], [[[65.0, 267.0], [75.0, 267.0], [75.0, 282.0], [65.0, 282.0]], ('1', 0.8166097402572632)], [[[95.0, 263.0], [158.0, 265.0], [157.0, 283.0], [94.0, 281.0]], ('LP Plain', 0.9312930703163147)], [[[353.0, 268.0], [391.0, 268.0], [391.0, 287.0], [353.0, 287.0]], ('6.00', 0.9975501894950867)], [[[64.0, 285.0], [76.0, 285.0], [76.0, 301.0], [64.0, 301.0]], ('3', 0.9971008896827698)], [[[94.0, 282.0], [179.0, 284.0], [178.0, 301.0], [93.0, 299.0]], ('Dal Panjrat', 0.9270952343940735)], [[[348.0, 288.0], [391.0, 288.0], [391.0, 303.0], [348.0, 303.0]], ('48.00', 0.9969496726989746)], [[[63.0, 303.0], [76.0, 303.0], [76.0, 319.0], [63.0, 319.0]], ('3', 0.9984545707702637)], [[[95.0, 303.0], [144.0, 303.0], [144.0, 318.0], [95.0, 318.0]], ('J Rice', 0.9180271029472351)], [[[347.0, 303.0], [390.0, 303.0], [390.0, 321.0], [347.0, 321.0]], ('18.00', 0.9927365183830261)], [[[65.0, 322.0], [75.0, 322.0], [75.0, 338.0], [65.0, 338.0]], ('5', 0.9566192030906677)], [[[95.0, 320.0], [246.0, 320.0], [246.0, 338.0], [95.0, 338.0]], ('Onion & Green Chilie', 0.9577641487121582)], [[[347.0, 321.0], [390.0, 321.0], [390.0, 340.0], [347.0, 340.0]], ('10.00', 0.9973087310791016)], [[[192.0, 353.0], [261.0, 356.0], [261.0, 377.0], [192.0, 374.0]], ('SUBTOTAL:', 0.9860695600509644)], [[[337.0, 356.0], [389.0, 359.0], [388.0, 378.0], [336.0, 375.0]], ('220.00', 0.9946710467338562)], [[[227.0, 372.0], [263.0, 375.0], [261.0, 397.0], [226.0, 394.0]], ('HST:', 0.894610583782196)], [[[345.0, 378.0], [390.0, 378.0], [390.0, 397.0], [345.0, 397.0]], ('28.60', 0.9964482188224792)], [[[172.0, 415.0], [260.0, 415.0], [260.0, 432.0], [172.0, 432.0]], ('TOTAL:', 0.9701643586158752)], [[[292.0, 414.0], [388.0, 417.0], [387.0, 435.0], [291.0, 432.0]], ('248.60', 0.9975164532661438)]]	{"store_name": "ADRAK", "store_addr": "15WertheimCourt", "telephone": "(905)889-8000", "date": "17/03/2018", "time": "10:52:25PM", "subtotal": "220.00", "tax": "28.60", "total": "248.60", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Onion&GreenChilie", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JRice", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DalPanjrat", "item_value": "48.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LPPlain", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TRoti", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RRoti", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VegetarianJalfrezi", "item_value": "34.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KadhaiPaneer", "item_value": "34.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VSKebab", "item_value": "30.00", "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	[[[[96.0, 53.0], [268.0, 55.0], [268.0, 72.0], [96.0, 70.0]], ('Ozen Zanmai -The Garden', 0.9501656889915466)], [[[83.0, 70.0], [272.0, 73.0], [272.0, 91.0], [83.0, 87.0]], ('LG K02Lwr GndThe Gardens', 0.9416494369506836)], [[[46.0, 87.0], [307.0, 90.0], [307.0, 108.0], [46.0, 104.0]], ('Mid Valley City,Lingkaran Syed Putra,', 0.9404128789901733)], [[[110.0, 105.0], [245.0, 108.0], [244.0, 125.0], [110.0, 122.0]], ('59200 Kuala Lumpur.', 0.9099376797676086)], [[[77.0, 126.0], [287.0, 126.0], [287.0, 140.0], [77.0, 140.0]], ('Super Sushi Sdn Bhd 758027-D', 0.9412713646888733)], [[[110.0, 141.0], [247.0, 142.0], [247.0, 159.0], [110.0, 158.0]], ('GST ID:000493240320', 0.9478199481964111)], [[[34.0, 216.0], [118.0, 207.0], [122.0, 240.0], [37.0, 249.0]], ('TableM1', 0.9096084237098694)], [[[280.0, 222.0], [328.0, 222.0], [328.0, 240.0], [280.0, 240.0]], ('PAX1', 0.9597909450531006)], [[[35.0, 242.0], [247.0, 236.0], [248.0, 267.0], [36.0, 274.0]], ('Tax Invoice:001-0737', 0.9438740015029907)], [[[38.0, 269.0], [221.0, 266.0], [222.0, 283.0], [38.0, 286.0]], ('Date:2017/07/1220:54:54', 0.9550564885139465)], [[[37.0, 304.0], [148.0, 304.0], [148.0, 321.0], [37.0, 321.0]], ('SSM Toro Sa lmon', 0.8952943086624146)], [[[275.0, 302.0], [329.0, 302.0], [329.0, 319.0], [275.0, 319.0]], ('RM17.80', 0.9904161691665649)], [[[37.0, 323.0], [141.0, 323.0], [141.0, 341.0], [37.0, 341.0]], ('Tempura Udon S', 0.9146049618721008)], [[[249.0, 323.0], [258.0, 323.0], [258.0, 334.0], [249.0, 334.0]], ('1', 0.8833364248275757)], [[[276.0, 320.0], [330.0, 320.0], [330.0, 339.0], [276.0, 339.0]], ('RM14.80', 0.9952427744865417)], [[[83.0, 365.0], [330.0, 357.0], [331.0, 388.0], [84.0, 396.0]], ('Tota1 After Rounding R32.60', 0.928085446357727)], [[[33.0, 411.0], [325.0, 408.0], [325.0, 426.0], [33.0, 429.0]], ('Tax Invoice Inclusive 6% GSTRM1.85', 0.9351682662963867)]]	{"store_name": "OzenZanmai-TheGarden", "store_addr": "LGK02,LwrGnd,TheGardens, MidValleyCity,LingkaranSyedPutra, 59200KualaLumpur", "telephone": "", "date": "2017/07/12", "time": "20:54:54", "subtotal": "", "tax": "RM1.85)", "total": "RM32.60", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SSMToroSalmon", "item_value": "RM17.80", "item_quantity": "1"}, {"item_key": "", "item_name": "TempuraUdonS", "item_value": "RM14.80", "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	[[[[45.0, 43.0], [289.0, 46.0], [289.0, 66.0], [45.0, 63.0]], ('Restaurant Scheltema', 0.9748786687850952)], [[[46.0, 72.0], [278.0, 76.0], [277.0, 93.0], [46.0, 88.0]], ('SA RANS =7RUE DES DOMINICAINS BXL', 0.950944721698761)], [[[41.0, 86.0], [292.0, 88.0], [292.0, 106.0], [41.0, 103.0]], ('TEL=02/512.20.84FAX=02/512.44.82', 0.9844985008239746)], [[[112.0, 104.0], [217.0, 104.0], [217.0, 119.0], [112.0, 119.0]], ('www.scheltema.be', 0.9740523099899292)], [[[22.0, 138.0], [83.0, 138.0], [83.0, 164.0], [22.0, 164.0]], ('NR.TABLE', 0.8859021663665771)], [[[240.0, 139.0], [260.0, 139.0], [260.0, 165.0], [240.0, 165.0]], ('26', 0.9935857057571411)], [[[22.0, 163.0], [185.0, 163.0], [185.0, 177.0], [22.0, 177.0]], ('GARCON10 Couverts 1', 0.924608051776886)], [[[17.0, 209.0], [133.0, 209.0], [133.0, 223.0], [17.0, 223.0]], ('MENU CARTE 32.00', 0.9092901349067688)], [[[233.0, 206.0], [293.0, 206.0], [293.0, 223.0], [233.0, 223.0]], ('32,00', 0.9185249209403992)], [[[15.0, 224.0], [127.0, 223.0], [127.0, 240.0], [15.0, 241.0]], ('1/2 GD PEY LESC', 0.8967654705047607)], [[[235.0, 222.0], [295.0, 222.0], [295.0, 239.0], [235.0, 239.0]], ('23,00', 0.8996409177780151)], [[[13.0, 241.0], [88.0, 239.0], [89.0, 256.0], [14.0, 258.0]], ('1/2VITTEL', 0.9876181483268738)], [[[235.0, 237.0], [297.0, 237.0], [297.0, 255.0], [235.0, 255.0]], ('5.50', 0.8861641883850098)], [[[10.0, 274.0], [100.0, 274.0], [100.0, 306.0], [10.0, 306.0]], ('Total:', 0.9888898730278015)], [[[216.0, 271.0], [295.0, 269.0], [296.0, 302.0], [217.0, 305.0]], ('60,50', 0.9579368829727173)], [[[0.0, 363.0], [68.0, 362.0], [68.0, 381.0], [0.0, 382.0]], ('TVA 21%', 0.9237619042396545)], [[[110.0, 360.0], [156.0, 356.0], [158.0, 378.0], [112.0, 382.0]], ('28,50', 0.9474602937698364)], [[[0.0, 383.0], [67.0, 383.0], [67.0, 404.0], [0.0, 404.0]], ('TVA 12%', 0.9391985535621643)], [[[110.0, 381.0], [157.0, 378.0], [158.0, 400.0], [111.0, 403.0]], ('32,00', 0.9427727460861206)], [[[96.0, 424.0], [222.0, 420.0], [223.0, 441.0], [96.0, 445.0]], ('17-12-1421:14', 0.966933012008667)]]	{"store_name": "RestaurantScheltema", "store_addr": "SARANS=7,RUEDESDOMINICAINSBXL", "telephone": "TEL=02/512.20.84FAX=02/512.44.82", "date": "17-12-14", "time": "21:14", "subtotal": "", "tax": "", "total": "60,50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MENUCARTE", "item_value": "\u20ac32,00", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2GDPEYLESC", "item_value": "\u20ac23,00", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2VITTEL", "item_value": "\u20ac5.50", "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	[[[[105.0, 126.0], [232.0, 141.0], [229.0, 167.0], [102.0, 152.0]], ("Pattappa's", 0.9817456007003784)], [[[199.0, 173.0], [413.0, 170.0], [414.0, 229.0], [200.0, 231.0]], ('Thaligai', 0.9946984648704529)], [[[192.0, 316.0], [385.0, 312.0], [385.0, 339.0], [193.0, 342.0]], ('ph:9791272888', 0.9652550220489502)], [[[186.0, 371.0], [344.0, 374.0], [344.0, 396.0], [186.0, 393.0]], ('RESTAURANT', 0.9973015785217285)], [[[53.0, 425.0], [231.0, 425.0], [231.0, 447.0], [53.0, 447.0]], ('Bill No:285', 0.9133470058441162)], [[[393.0, 423.0], [524.0, 417.0], [525.0, 440.0], [394.0, 446.0]], ('TabNO:2', 0.8829355239868164)], [[[56.0, 455.0], [204.0, 455.0], [204.0, 474.0], [56.0, 474.0]], ('Captain:1', 0.9710507988929749)], [[[241.0, 454.0], [370.0, 452.0], [370.0, 472.0], [242.0, 474.0]], ('Waiter:6', 0.9541316032409668)], [[[406.0, 450.0], [495.0, 444.0], [497.0, 467.0], [408.0, 473.0]], ('Pax:2', 0.9002641439437866)], [[[53.0, 481.0], [411.0, 476.0], [411.0, 498.0], [54.0, 503.0]], ('Date:19-06-2016 20:15:34', 0.9444668889045715)], [[[85.0, 532.0], [148.0, 535.0], [147.0, 555.0], [85.0, 552.0]], ('Item', 0.9960977435112)], [[[329.0, 529.0], [377.0, 529.0], [377.0, 553.0], [329.0, 553.0]], ('Qty', 0.9473133087158203)], [[[398.0, 528.0], [461.0, 526.0], [462.0, 545.0], [399.0, 548.0]], ('Rate', 0.9965260028839111)], [[[483.0, 525.0], [530.0, 525.0], [530.0, 544.0], [483.0, 544.0]], ('Amt', 0.9526212215423584)], [[[65.0, 586.0], [246.0, 586.0], [246.0, 605.0], [65.0, 605.0]], ('Dinner Buffet', 0.9778059720993042)], [[[353.0, 579.0], [371.0, 579.0], [371.0, 603.0], [353.0, 603.0]], ('2', 0.99405437707901)], [[[407.0, 577.0], [546.0, 571.0], [547.0, 594.0], [408.0, 600.0]], ('157314.00', 0.9962096810340881)], [[[301.0, 633.0], [426.0, 629.0], [427.0, 652.0], [302.0, 656.0]], ('Sub Total', 0.9649885892868042)], [[[468.0, 626.0], [552.0, 623.0], [553.0, 647.0], [468.0, 649.0]], ('314.00', 0.9976914525032043)], [[[47.0, 639.0], [193.0, 637.0], [194.0, 659.0], [47.0, 661.0]], ('Tot Item 1', 0.9392253160476685)], [[[288.0, 658.0], [335.0, 658.0], [335.0, 682.0], [288.0, 682.0]], ('VAT', 0.9978962540626526)], [[[399.0, 656.0], [431.0, 656.0], [431.0, 679.0], [399.0, 679.0]], ('2%', 0.9544844627380371)], [[[497.0, 653.0], [556.0, 650.0], [558.0, 674.0], [498.0, 677.0]], ('6.28', 0.9967212080955505)], [[[304.0, 686.0], [335.0, 684.0], [337.0, 708.0], [306.0, 710.0]], ('ST', 0.9898288249969482)], [[[403.0, 682.0], [433.0, 682.0], [433.0, 705.0], [403.0, 705.0]], ('6%', 0.9555087089538574)], [[[488.0, 679.0], [562.0, 679.0], [562.0, 702.0], [488.0, 702.0]], ('18.84', 0.9955048561096191)], [[[292.0, 714.0], [431.0, 709.0], [432.0, 732.0], [293.0, 737.0]], ('Round Off', 0.9669041037559509)], [[[492.0, 706.0], [569.0, 706.0], [569.0, 730.0], [492.0, 730.0]], ('-0.12', 0.9914819002151489)], [[[243.0, 780.0], [354.0, 775.0], [355.0, 806.0], [245.0, 811.0]], ('TOTAL', 0.9990217089653015)], [[[439.0, 773.0], [569.0, 767.0], [571.0, 798.0], [440.0, 803.0]], ('339.00', 0.9981101155281067)], [[[51.0, 863.0], [247.0, 854.0], [248.0, 880.0], [52.0, 888.0]], ('Kot No:285', 0.9131563901901245)], [[[180.0, 927.0], [387.0, 916.0], [389.0, 947.0], [182.0, 957.0]], ('AN CUISINES', 0.9526097774505615)], [[[54.0, 970.0], [475.0, 951.0], [476.0, 985.0], [55.0, 1004.0]], ('THANK YOU VISIT AGAIN ', 0.9331383109092712)]]	{"store_name": "Thaligai Pattappa's", "store_addr": "mylaporechennai-600004 no:60luzchurchroad", "telephone": "9791272888", "date": "19-06-2016", "time": "20:15:34", "subtotal": "314.00", "tax": "6.28 18.84", "total": "339.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DinnerBuffet", "item_value": "314.00", "item_quantity": "1"}, {"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	[[[[112.0, 0.0], [191.0, 0.0], [191.0, 10.0], [112.0, 10.0]], ('Smashburger #1407', 0.9469178318977356)], [[[128.0, 7.0], [181.0, 9.0], [181.0, 22.0], [127.0, 20.0]], ('440US 130', 0.9319117665290833)], [[[124.0, 19.0], [183.0, 21.0], [183.0, 35.0], [123.0, 32.0]], ('609-308-2200', 0.9533701539039612)], [[[140.0, 43.0], [161.0, 43.0], [161.0, 56.0], [140.0, 56.0]], ('17', 0.99770188331604)], [[[53.0, 63.0], [105.0, 65.0], [104.0, 79.0], [52.0, 77.0]], ('HostRyan', 0.9888577461242676)], [[[204.0, 65.0], [253.0, 65.0], [253.0, 76.0], [204.0, 76.0]], ('01/30/2015', 0.9930779337882996)], [[[53.0, 76.0], [69.0, 76.0], [69.0, 89.0], [53.0, 89.0]], ('17', 0.9972070455551147)], [[[214.0, 76.0], [255.0, 76.0], [255.0, 90.0], [214.0, 90.0]], ('10:58AM', 0.9433463215827942)], [[[227.0, 88.0], [255.0, 88.0], [255.0, 101.0], [227.0, 101.0]], ('20002', 0.999156653881073)], [[[53.0, 100.0], [152.0, 100.0], [152.0, 113.0], [53.0, 113.0]], ('Order Type: DINE IN', 0.9066845774650574)], [[[53.0, 123.0], [152.0, 123.0], [152.0, 135.0], [53.0, 135.0]], ('Sp1nach & Goat Smash', 0.9393046498298645)], [[[234.0, 122.0], [256.0, 122.0], [256.0, 133.0], [234.0, 133.0]], ('6.69', 0.9806262254714966)], [[[53.0, 134.0], [143.0, 134.0], [143.0, 147.0], [53.0, 147.0]], ('With Reg Smash Fry', 0.9124535322189331)], [[[234.0, 133.0], [256.0, 133.0], [256.0, 145.0], [234.0, 145.0]], ('2.29', 0.9933432936668396)], [[[53.0, 147.0], [119.0, 147.0], [119.0, 158.0], [53.0, 158.0]], ('Vantlla Shake', 0.8618800640106201)], [[[233.0, 143.0], [257.0, 143.0], [257.0, 158.0], [233.0, 158.0]], ('4.29', 0.9649475812911987)], [[[51.0, 169.0], [94.0, 169.0], [94.0, 183.0], [51.0, 183.0]], ('Subtotal', 0.9936976432800293)], [[[232.0, 168.0], [257.0, 168.0], [257.0, 180.0], [232.0, 180.0]], ('13.27', 0.9937349557876587)], [[[51.0, 182.0], [70.0, 182.0], [70.0, 194.0], [51.0, 194.0]], ('Tax', 0.9970510601997375)], [[[234.0, 179.0], [258.0, 179.0], [258.0, 194.0], [234.0, 194.0]], ('6.0', 0.5323306918144226)], [[[49.0, 205.0], [179.0, 203.0], [179.0, 216.0], [50.0, 219.0]], ('DINE IN Total', 0.9204070568084717)], [[[210.0, 203.0], [258.0, 203.0], [258.0, 217.0], [210.0, 217.0]], ('14.20', 0.9965418577194214)], [[[49.0, 229.0], [161.0, 228.0], [161.0, 242.0], [50.0, 243.0]], ('Visa#xxxxxxxx6591', 0.730400025844574)], [[[222.0, 228.0], [261.0, 228.0], [261.0, 242.0], [222.0, 242.0]], ('$14.20', 0.9738622307777405)], [[[56.0, 243.0], [118.0, 241.0], [119.0, 254.0], [57.0, 256.0]], ('Auth:045198', 0.9089126586914062)], [[[94.0, 280.0], [218.0, 280.0], [218.0, 293.0], [94.0, 293.0]], ('Tell us what you think &', 0.923557698726654)], [[[82.0, 295.0], [228.0, 293.0], [228.0, 306.0], [82.0, 309.0]], ('receive free smashfries plus', 0.9113484025001526)], [[[96.0, 308.0], [215.0, 306.0], [216.0, 320.0], [96.0, 321.0]], ('receive chances to win', 0.9161745309829712)], [[[65.0, 322.0], [246.0, 320.0], [246.0, 334.0], [65.0, 336.0]], ('daily cash and other weekly prizes', 0.9223080277442932)]]	{"store_name": "Smashburger#1407", "store_addr": "440US130", "telephone": "609-308-2200", "date": "01/30/2015", "time": "10:58AM", "subtotal": "13.27", "tax": "0.93", "total": "14.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "VanillaShake", "item_value": "6.69", "item_quantity": "1"}, {"item_key": "", "item_name": "WithRegSmashFry", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "Spinach&GoatSmash", "item_value": "4.29", "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	[[[[53.0, 56.0], [255.0, 61.0], [254.0, 86.0], [52.0, 80.0]], ('MAGASIN CHIN LEE', 0.964511513710022)], [[[132.0, 84.0], [181.0, 84.0], [181.0, 110.0], [132.0, 110.0]], ('VAITAPE', 0.960628867149353)], [[[131.0, 105.0], [180.0, 108.0], [179.0, 126.0], [130.0, 123.0]], ('B.P.198', 0.9796303510665894)], [[[108.0, 120.0], [204.0, 124.0], [204.0, 139.0], [107.0, 135.0]], ('98730 BORA BORA', 0.9235877990722656)], [[[128.0, 138.0], [184.0, 138.0], [184.0, 155.0], [128.0, 155.0]], ('677386', 0.9962388873100281)], [[[129.0, 149.0], [184.0, 152.0], [183.0, 169.0], [128.0, 167.0]], ('677505', 0.9972919821739197)], [[[92.0, 166.0], [218.0, 170.0], [218.0, 186.0], [92.0, 182.0]], ('Facture au comptant', 0.9646652340888977)], [[[13.0, 197.0], [212.0, 199.0], [211.0, 213.0], [12.0, 211.0]], ('1 ASSIETTE PLASTIQUE X3 REF:99', 0.9164901375770569)], [[[255.0, 199.0], [277.0, 199.0], [277.0, 216.0], [255.0, 216.0]], ('385', 0.9973475337028503)], [[[10.0, 212.0], [213.0, 214.0], [212.0, 231.0], [10.0, 229.0]], ('1 FRITO LAY ROLD GOLD PRETZEL', 0.9333100914955139)], [[[254.0, 213.0], [278.0, 215.0], [276.0, 231.0], [252.0, 228.0]], ('540', 0.9983287453651428)], [[[11.0, 231.0], [167.0, 231.0], [167.0, 245.0], [11.0, 245.0]], ('2HINANOPACK 12 X33CL', 0.9338604807853699)], [[[249.0, 231.0], [279.0, 231.0], [279.0, 247.0], [249.0, 247.0]], ('5520', 0.9990664124488831)], [[[31.0, 248.0], [60.0, 248.0], [60.0, 259.0], [31.0, 259.0]], ('2', 0.9608910083770752)], [[[99.0, 247.0], [129.0, 247.0], [129.0, 261.0], [99.0, 261.0]], ('2760', 0.9989826083183289)], [[[10.0, 263.0], [213.0, 263.0], [213.0, 277.0], [10.0, 277.0]], ('2 LA BAUME CHARDONNAY MD OR 20', 0.9198642373085022)], [[[252.0, 262.0], [281.0, 262.0], [281.0, 278.0], [252.0, 278.0]], ('4590', 0.9991263151168823)], [[[27.0, 279.0], [59.0, 279.0], [59.0, 294.0], [27.0, 294.0]], ('2', 0.9287856221199036)], [[[97.0, 279.0], [129.0, 279.0], [129.0, 294.0], [97.0, 294.0]], ('2295', 0.9987138509750366)], [[[8.0, 295.0], [118.0, 294.0], [118.0, 311.0], [8.0, 312.0]], ('1 PATE COMPAGNE', 0.9439734816551208)], [[[258.0, 294.0], [281.0, 294.0], [281.0, 311.0], [258.0, 311.0]], ('231', 0.999260425567627)], [[[7.0, 313.0], [215.0, 310.0], [216.0, 327.0], [7.0, 331.0]], ('1 CHARCUTERIE JAMBON 1ER CHOIX', 0.9375709891319275)], [[[259.0, 310.0], [282.0, 310.0], [282.0, 327.0], [259.0, 327.0]], ('416', 0.9984864592552185)], [[[7.0, 331.0], [110.0, 329.0], [110.0, 346.0], [7.0, 348.0]], ('1 DIET COKE *6', 0.9128454923629761)], [[[260.0, 327.0], [283.0, 327.0], [283.0, 345.0], [260.0, 345.0]], ('630', 0.9843215346336365)], [[[64.0, 348.0], [215.0, 344.0], [216.0, 362.0], [64.0, 365.0]], ("Nombre d'articles:9", 0.9419976472854614)], [[[6.0, 383.0], [76.0, 383.0], [76.0, 416.0], [6.0, 416.0]], ('TOTAL XPF', 0.9283661246299744)], [[[251.0, 379.0], [288.0, 379.0], [288.0, 409.0], [251.0, 409.0]], ('12312', 0.997977614402771)], [[[3.0, 413.0], [103.0, 410.0], [104.0, 430.0], [3.0, 433.0]], ('Dont TVA 16%', 0.9563043713569641)], [[[258.0, 404.0], [288.0, 404.0], [288.0, 424.0], [258.0, 424.0]], ('1448', 0.9820727109909058)], [[[39.0, 432.0], [88.0, 430.0], [89.0, 448.0], [40.0, 449.0]], ('TVA5%', 0.9921789169311523)], [[[272.0, 423.0], [288.0, 423.0], [288.0, 442.0], [272.0, 442.0]], ('87', 0.9950158596038818)]]	{"store_name": "VAITAPE MAGASINCHINLEE", "store_addr": "98730BORABORA B.P.198", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "87 1448", "total": "12312", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DIETCOKE", "item_value": "630", "item_quantity": "1"}, {"item_key": "", "item_name": "*6", "item_value": "416", "item_quantity": "1"}, {"item_key": "", "item_name": "CHARCUTERIEJAMBON1ERCHOIX", "item_value": "231", "item_quantity": "1"}, {"item_key": "", "item_name": "PATECOMPAGNE", "item_value": "4590", "item_quantity": "1"}, {"item_key": "", "item_name": "LABAUMECHARDONNAYMDOR20", "item_value": "5520", "item_quantity": "1"}, {"item_key": "", "item_name": "HINANOPACK", "item_value": "540", "item_quantity": "1"}, {"item_key": "", "item_name": "12X33CL", "item_value": "385", "item_quantity": "1"}, {"item_key": "", "item_name": "FRITOLAYROLDGOLDPRETZEL", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ASSIETTEPLASTIQUE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "X3", "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	[[[[660.0, 337.0], [922.0, 337.0], [922.0, 382.0], [660.0, 382.0]], ('BERGDORF', 0.9686465263366699)], [[[656.0, 384.0], [927.0, 389.0], [926.0, 434.0], [655.0, 429.0]], ('GODNAN', 0.9411063194274902)], [[[484.0, 453.0], [602.0, 453.0], [602.0, 476.0], [484.0, 476.0]], ('ON THE PLAZA', 0.9344640374183655)], [[[509.0, 489.0], [778.0, 496.0], [777.0, 527.0], [509.0, 520.0]], ('754 FIFTH AVENUE', 0.9384639859199524)], [[[491.0, 534.0], [794.0, 538.0], [793.0, 572.0], [491.0, 567.0]], ('NEWY0RKNY 10019', 0.9417296051979065)], [[[540.0, 578.0], [745.0, 583.0], [744.0, 614.0], [540.0, 609.0]], ('212-753-7300', 0.9920560717582703)], [[[325.0, 659.0], [911.0, 666.0], [911.0, 701.0], [324.0, 694.0]], ('890327006300548122111/09/07', 0.997778594493866)], [[[325.0, 743.0], [480.0, 749.0], [479.0, 787.0], [324.0, 781.0]], ('TAKE MDSE', 0.9346562623977661)], [[[323.0, 786.0], [425.0, 791.0], [423.0, 825.0], [322.0, 819.0]], ('FACIAL', 0.995534360408783)], [[[856.0, 797.0], [944.0, 797.0], [944.0, 831.0], [856.0, 831.0]], ('45.00', 0.9918319582939148)], [[[327.0, 835.0], [447.0, 835.0], [447.0, 867.0], [327.0, 867.0]], ('858-704', 0.9942208528518677)], [[[356.0, 875.0], [496.0, 875.0], [496.0, 913.0], [356.0, 913.0]], ('80887108', 0.9983925223350525)], [[[671.0, 878.0], [796.0, 878.0], [796.0, 916.0], [671.0, 916.0]], ('45.00EA', 0.9679051637649536)], [[[472.0, 918.0], [645.0, 923.0], [644.0, 954.0], [471.0, 949.0]], ('4.000%TAX', 0.9845778942108154)], [[[409.0, 1050.0], [620.0, 1050.0], [620.0, 1081.0], [409.0, 1081.0]], ('TAKE SUBTOTAL', 0.9759341478347778)], [[[853.0, 1056.0], [942.0, 1056.0], [942.0, 1090.0], [853.0, 1090.0]], ('45.00', 0.9936173558235168)], [[[487.0, 1087.0], [643.0, 1092.0], [641.0, 1126.0], [486.0, 1121.0]], ('TOTAL TAX', 0.9545710682868958)], [[[867.0, 1097.0], [944.0, 1097.0], [944.0, 1130.0], [867.0, 1130.0]], ('1.80', 0.9944539070129395)], [[[487.0, 1130.0], [827.0, 1139.0], [826.0, 1175.0], [486.0, 1165.0]], ('TAX C0DE 3306120100', 0.9468282461166382)], [[[486.0, 1169.0], [576.0, 1176.0], [574.0, 1216.0], [484.0, 1210.0]], ('TOTAL.', 0.9244508743286133)], [[[856.0, 1181.0], [944.0, 1181.0], [944.0, 1215.0], [856.0, 1215.0]], ('46.80', 0.9947959780693054)], [[[320.0, 1262.0], [393.0, 1262.0], [393.0, 1293.0], [320.0, 1293.0]], ('CASH', 0.9980437159538269)], [[[822.0, 1260.0], [951.0, 1260.0], [951.0, 1300.0], [822.0, 1300.0]], ('60.00', 0.9927515983581543)], [[[322.0, 1304.0], [504.0, 1304.0], [504.0, 1336.0], [322.0, 1336.0]], ('CASH CHANGE', 0.9603037238121033)], [[[841.0, 1301.0], [1005.0, 1309.0], [1003.0, 1350.0], [839.0, 1342.0]], ('-13.20', 0.9520562291145325)], [[[514.0, 1334.0], [843.0, 1355.0], [839.0, 1419.0], [510.0, 1399.0]], ('T+a60', 0.734796404838562)], [[[443.0, 1422.0], [858.0, 1430.0], [857.0, 1468.0], [442.0, 1460.0]], ('THANK YOU FOR SHOPPING AT', 0.9413926601409912)], [[[507.0, 1469.0], [776.0, 1474.0], [775.0, 1505.0], [506.0, 1501.0]], ('BERGDORF GOODMAN', 0.9730675220489502)], [[[389.0, 1557.0], [478.0, 1557.0], [478.0, 1588.0], [389.0, 1588.0]], ('visit', 0.9962635040283203)], [[[520.0, 1556.0], [909.0, 1563.0], [909.0, 1595.0], [520.0, 1588.0]], ('www.bergdorfgoodman.com', 0.9792266488075256)]]	{"store_name": "BERGDORF GOODMAN", "store_addr": "754FIFTHAVENUE NEWYORK,NY10019", "telephone": "212-753-7300", "date": "11/09/07", "time": "", "subtotal": "45.00", "tax": "1.80", "total": "46.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FACIAL", "item_value": "45.00", "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	[[[[118.0, 23.0], [243.0, 26.0], [243.0, 43.0], [117.0, 39.0]], ('DRESSFOR LESS', 0.9554173946380615)], [[[133.0, 41.0], [228.0, 45.0], [227.0, 62.0], [132.0, 59.0]], ('TORRANCECA', 0.9901052713394165)], [[[99.0, 58.0], [250.0, 62.0], [250.0, 82.0], [99.0, 78.0]], ('Phone:310-373-0784', 0.9640191197395325)], [[[11.0, 133.0], [335.0, 136.0], [335.0, 156.0], [11.0, 153.0]], ('400150559210 UA ColdGear Go1f M 24.99R', 0.922016441822052)], [[[9.0, 152.0], [337.0, 156.0], [337.0, 176.0], [9.0, 172.0]], ('400147373713 ASST TEK HYBRID JA 79.99 R', 0.9269205927848816)], [[[10.0, 174.0], [76.0, 174.0], [76.0, 191.0], [10.0, 191.0]], ('Subtotal', 0.9921861290931702)], [[[265.0, 177.0], [327.0, 177.0], [327.0, 195.0], [265.0, 195.0]], ('$129.97', 0.9291530251502991)], [[[8.0, 192.0], [138.0, 195.0], [137.0, 213.0], [8.0, 209.0]], ('Sales Tax 9.000%', 0.9403036236763)], [[[273.0, 197.0], [329.0, 197.0], [329.0, 215.0], [273.0, 215.0]], ('$11.70', 0.9976963400840759)], [[[8.0, 214.0], [50.0, 214.0], [50.0, 228.0], [8.0, 228.0]], ('Total', 0.9815152883529663)], [[[266.0, 218.0], [328.0, 218.0], [328.0, 235.0], [266.0, 235.0]], ('$141.67', 0.9274516105651855)], [[[48.0, 231.0], [314.0, 238.0], [313.0, 255.0], [47.0, 248.0]], ('Sold:3 Returned:0 Deleted:0', 0.912727415561676)], [[[5.0, 269.0], [49.0, 271.0], [48.0, 290.0], [4.0, 287.0]], ('Debit', 0.9965094327926636)], [[[267.0, 276.0], [333.0, 280.0], [331.0, 302.0], [266.0, 298.0]], ('$141.67', 0.9941636919975281)], [[[19.0, 289.0], [226.0, 297.0], [225.0, 317.0], [19.0, 309.0]], ('Card No.XXXXxxXxXxXX2637', 0.7303701043128967)], [[[19.0, 310.0], [177.0, 318.0], [176.0, 337.0], [18.0, 330.0]], ('8063580001400259888', 0.9957569241523743)]]	{"store_name": "", "store_addr": "TORRANCE,CA", "telephone": "310-373-0784", "date": "", "time": "", "subtotal": "$129.97", "tax": "$11.70", "total": "$141.67 $141.67", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "400147373713ASSTTEKHYBRIDJA", "item_value": "79.99R", "item_quantity": "1"}, {"item_key": "", "item_name": "400150559210UAColdGearGolfM", "item_value": "24.99R", "item_quantity": "1"}, {"item_key": "", "item_name": "400147433820ASSTBLKSURGENTP", "item_value": "24.99R", "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	[[[[273.0, 83.0], [450.0, 83.0], [450.0, 104.0], [273.0, 104.0]], ('Cob &Pen', 0.9295488595962524)], [[[246.0, 109.0], [490.0, 109.0], [490.0, 130.0], [246.0, 130.0]], ('1221 South Florida Avenue', 0.965162992477417)], [[[269.0, 136.0], [461.0, 132.0], [461.0, 156.0], [270.0, 160.0]], ('Lakeland, FL 33803', 0.9276384711265564)], [[[168.0, 211.0], [211.0, 211.0], [211.0, 235.0], [168.0, 235.0]], ('25', 0.9988513588905334)], [[[170.0, 241.0], [449.0, 241.0], [449.0, 265.0], [170.0, 265.0]], ('Tb110 Gsts:1 Srvr:Ashley', 0.9188626408576965)], [[[167.0, 269.0], [410.0, 270.0], [410.0, 291.0], [167.0, 290.0]], ('Date:12-10-2016 2:44pm', 0.9374487400054932)], [[[447.0, 268.0], [572.0, 263.0], [572.0, 285.0], [448.0, 290.0]], ('1.0030.00154', 0.9948360323905945)], [[[209.0, 324.0], [378.0, 324.0], [378.0, 345.0], [209.0, 345.0]], ('1 Gaffe1 Klsch .4', 0.8624974489212036)], [[[426.0, 321.0], [473.0, 321.0], [473.0, 345.0], [426.0, 345.0]], ('5.14', 0.9969850182533264)], [[[208.0, 352.0], [379.0, 352.0], [379.0, 373.0], [208.0, 373.0]], ('1 Coppertai1 Nano', 0.9186689257621765)], [[[426.0, 349.0], [473.0, 349.0], [473.0, 373.0], [426.0, 373.0]], ('6.08', 0.9931352138519287)], [[[205.0, 378.0], [297.0, 380.0], [297.0, 403.0], [204.0, 401.0]], ('1 Sliders', 0.9324375987052917)], [[[427.0, 377.0], [473.0, 377.0], [473.0, 401.0], [427.0, 401.0]], ('7.94', 0.9902650117874146)], [[[203.0, 407.0], [289.0, 407.0], [289.0, 432.0], [203.0, 432.0]], ('1 Reuben', 0.9561039209365845)], [[[426.0, 406.0], [472.0, 406.0], [472.0, 430.0], [426.0, 430.0]], ('8.41', 0.9968132972717285)], [[[203.0, 438.0], [277.0, 438.0], [277.0, 460.0], [203.0, 460.0]], ('1 Fries', 0.9443827867507935)], [[[426.0, 435.0], [473.0, 435.0], [473.0, 459.0], [426.0, 459.0]], ('3.27', 0.9951759576797485)], [[[203.0, 467.0], [377.0, 467.0], [377.0, 489.0], [203.0, 489.0]], ('1 LostAnge 1MsctoG', 0.9128645658493042)], [[[427.0, 466.0], [473.0, 466.0], [473.0, 490.0], [427.0, 490.0]], ('7.48', 0.9913064241409302)], [[[201.0, 496.0], [295.0, 496.0], [295.0, 518.0], [201.0, 518.0]], ('1 Blondie', 0.9449763894081116)], [[[426.0, 495.0], [473.0, 495.0], [473.0, 519.0], [426.0, 519.0]], ('3.27', 0.9967412948608398)], [[[322.0, 524.0], [377.0, 524.0], [377.0, 548.0], [322.0, 548.0]], ('Grat:', 0.9807412028312683)], [[[437.0, 524.0], [484.0, 524.0], [484.0, 548.0], [437.0, 548.0]], ('0.00', 0.9503260850906372)], [[[160.0, 555.0], [194.0, 555.0], [194.0, 571.0], [160.0, 571.0]], ('***', 0.9190096259117126)], [[[208.0, 554.0], [375.0, 554.0], [375.0, 576.0], [208.0, 576.0]], ('Guest #1 Total', 0.9452661275863647)], [[[468.0, 553.0], [527.0, 551.0], [529.0, 578.0], [470.0, 581.0]], ('44.50', 0.9927371740341187)], [[[279.0, 611.0], [387.0, 611.0], [387.0, 636.0], [279.0, 636.0]], ('Sub-Total:', 0.9597992897033691)], [[[426.0, 611.0], [486.0, 611.0], [486.0, 639.0], [426.0, 639.0]], ('41.59', 0.9950960874557495)], [[[341.0, 641.0], [387.0, 644.0], [385.0, 669.0], [339.0, 666.0]], ('Tax:', 0.9631711840629578)], [[[437.0, 644.0], [484.0, 644.0], [484.0, 668.0], [437.0, 668.0]], ('2.91', 0.9979393482208252)], [[[153.0, 669.0], [360.0, 672.0], [360.0, 700.0], [152.0, 697.0]], ('Total Due:', 0.9502331614494324)], [[[471.0, 674.0], [583.0, 676.0], [582.0, 702.0], [471.0, 700.0]], ('44.50', 0.9970951080322266)], [[[288.0, 734.0], [428.0, 737.0], [428.0, 763.0], [287.0, 760.0]], ('Thank You for', 0.9378154277801514)], [[[274.0, 769.0], [450.0, 771.0], [449.0, 797.0], [274.0, 795.0]], ('Joining Us!!!', 0.8878958821296692)], [[[283.0, 835.0], [441.0, 839.0], [441.0, 865.0], [282.0, 861.0]], ('We Hope To See', 0.925274670124054)], [[[251.0, 869.0], [473.0, 874.0], [473.0, 899.0], [250.0, 894.0]], ('You Again Soon !!', 0.9156453609466553)]]	{"store_name": "Cob&Pen", "store_addr": "1221SouthFloridaAvenue Lakeland,FL33803", "telephone": "", "date": "12-10-2016", "time": "2:44pm", "subtotal": "41.59", "tax": "2.91", "total": "44.50 44.50", "ignore": "", "tips": "0.00", "line_items": [{"item_key": "", "item_name": "GaffelKIsch.4", "item_value": "5.14", "item_quantity": "1"}, {"item_key": "", "item_name": "CoppertailNano", "item_value": "6.08", "item_quantity": "1"}, {"item_key": "", "item_name": "Sliders", "item_value": "7.94", "item_quantity": "1"}, {"item_key": "", "item_name": "Reuben", "item_value": "8.41", "item_quantity": "1"}, {"item_key": "", "item_name": "Fries", "item_value": "3.27", "item_quantity": "1"}, {"item_key": "", "item_name": "LostAngelMsctoG", "item_value": "7.48", "item_quantity": "1"}, {"item_key": "", "item_name": "Blondie", "item_value": "3.27", "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	[[[[200.0, 33.0], [313.0, 33.0], [313.0, 53.0], [200.0, 53.0]], ('SELFRIDGESC', 0.9574549198150635)], [[[104.0, 69.0], [380.0, 68.0], [380.0, 84.0], [104.0, 86.0]], ('The Trafford Centre Manchester M17 8DA', 0.9534812569618225)], [[[153.0, 86.0], [325.0, 83.0], [325.0, 96.0], [153.0, 98.0]], ('Freephone 0800 123 400', 0.9211838245391846)], [[[173.0, 110.0], [309.0, 110.0], [309.0, 124.0], [173.0, 124.0]], ('www.selfridges.com', 0.9610760807991028)], [[[154.0, 122.0], [328.0, 122.0], [328.0, 136.0], [154.0, 136.0]], ('V.A.T NO.GB 705 325952', 0.8989424109458923)], [[[137.0, 147.0], [328.0, 149.0], [328.0, 173.0], [136.0, 171.0]], ('Sales voucher', 0.975696861743927)], [[[185.0, 171.0], [285.0, 173.0], [285.0, 190.0], [184.0, 188.0]], ('Customer copy', 0.9576819539070129)], [[[74.0, 201.0], [339.0, 197.0], [340.0, 214.0], [74.0, 218.0]], ('You were served by: Magdalena Brown', 0.9418627023696899)], [[[75.0, 217.0], [96.0, 217.0], [96.0, 229.0], [75.0, 229.0]], ('851', 0.9931169152259827)], [[[184.0, 215.0], [247.0, 215.0], [247.0, 229.0], [184.0, 229.0]], ('PANTHERE', 0.9965286254882812)], [[[73.0, 230.0], [157.0, 230.0], [157.0, 244.0], [73.0, 244.0]], ('OPTIKA ACCS', 0.9494428038597107)], [[[71.0, 245.0], [110.0, 245.0], [110.0, 259.0], [71.0, 259.0]], ('1', 0.6315414309501648)], [[[108.0, 245.0], [180.0, 245.0], [180.0, 259.0], [108.0, 259.0]], ('485.00', 0.994145929813385)], [[[353.0, 239.0], [410.0, 239.0], [410.0, 257.0], [353.0, 257.0]], ('485.00', 0.9961705803871155)], [[[72.0, 258.0], [95.0, 258.0], [95.0, 269.0], [72.0, 269.0]], ('851', 0.9852743148803711)], [[[192.0, 257.0], [248.0, 257.0], [248.0, 273.0], [192.0, 273.0]], ('CLEANER', 0.9961215257644653)], [[[69.0, 269.0], [157.0, 272.0], [157.0, 286.0], [69.0, 284.0]], ('OPTIKA ACCS', 0.9601001143455505)], [[[105.0, 285.0], [165.0, 285.0], [165.0, 302.0], [105.0, 302.0]], ('@2.99', 0.8941659927368164)], [[[368.0, 279.0], [413.0, 279.0], [413.0, 297.0], [368.0, 297.0]], ('2.99', 0.9929776191711426)], [[[68.0, 299.0], [93.0, 299.0], [93.0, 314.0], [68.0, 314.0]], ('851', 0.9977709650993347)], [[[199.0, 298.0], [248.0, 298.0], [248.0, 316.0], [199.0, 316.0]], ('RAYBAN', 0.9951418042182922)], [[[68.0, 314.0], [155.0, 314.0], [155.0, 328.0], [68.0, 328.0]], ('OPTIKA ACCS', 0.9097354412078857)], [[[67.0, 330.0], [81.0, 330.0], [81.0, 343.0], [67.0, 343.0]], ('1', 0.9714770317077637)], [[[105.0, 329.0], [179.0, 329.0], [179.0, 346.0], [105.0, 346.0]], ('@109.00', 0.9670391082763672)], [[[353.0, 324.0], [413.0, 323.0], [413.0, 341.0], [353.0, 342.0]], ('f109.00', 0.9341438412666321)], [[[65.0, 358.0], [107.0, 358.0], [107.0, 376.0], [65.0, 376.0]], ('Total', 0.995866596698761)], [[[133.0, 357.0], [193.0, 359.0], [192.0, 377.0], [132.0, 375.0]], ('3 Items', 0.9148370027542114)], [[[356.0, 355.0], [415.0, 355.0], [415.0, 372.0], [356.0, 372.0]], ('f596.99', 0.9493941068649292)], [[[356.0, 371.0], [415.0, 371.0], [415.0, 388.0], [356.0, 388.0]], ('596.99', 0.9966974258422852)], [[[59.0, 434.0], [205.0, 434.0], [205.0, 447.0], [59.0, 447.0]], ('Card MASTERCARD', 0.927567183971405)], [[[57.0, 450.0], [125.0, 450.0], [125.0, 464.0], [57.0, 464.0]], ('Number:', 0.9352947473526001)], [[[145.0, 446.0], [311.0, 446.0], [311.0, 463.0], [145.0, 463.0]], ('************2861/', 0.95107102394104)], [[[350.0, 446.0], [388.0, 446.0], [388.0, 464.0], [350.0, 464.0]], ('CHIP', 0.9978374242782593)], [[[55.0, 464.0], [154.0, 464.0], [154.0, 481.0], [55.0, 481.0]], ('St/Exp Date:', 0.920174777507782)], [[[242.0, 461.0], [287.0, 461.0], [287.0, 479.0], [242.0, 479.0]], ('04/11', 0.9957873225212097)], [[[53.0, 479.0], [128.0, 481.0], [128.0, 496.0], [52.0, 494.0]], ('PAN Seg ', 0.875910758972168)], [[[168.0, 478.0], [186.0, 478.0], [186.0, 492.0], [168.0, 492.0]], ('02', 0.9969806671142578)], [[[50.0, 494.0], [87.0, 494.0], [87.0, 512.0], [50.0, 512.0]], ('AID:', 0.9679104089736938)], [[[167.0, 492.0], [287.0, 490.0], [287.0, 507.0], [167.0, 509.0]], ('A0000000041010', 0.993216872215271)], [[[174.0, 508.0], [327.0, 506.0], [327.0, 522.0], [174.0, 524.0]], ('1/05/09-30/04/11', 0.9845098257064819)], [[[48.0, 527.0], [167.0, 527.0], [167.0, 541.0], [48.0, 541.0]], ('Cryptogram', 0.9914994239807129)], [[[165.0, 525.0], [329.0, 525.0], [329.0, 539.0], [165.0, 539.0]], ('40/A2E783DC6EBA07C3', 0.9798370003700256)], [[[51.0, 543.0], [156.0, 543.0], [156.0, 557.0], [51.0, 557.0]], ('Auth Code ', 0.923529326915741)], [[[166.0, 541.0], [217.0, 541.0], [217.0, 555.0], [166.0, 555.0]], ('242771', 0.9979117512702942)], [[[50.0, 558.0], [171.0, 557.0], [171.0, 571.0], [50.0, 572.0]], ('Merchant ID', 0.9518142938613892)], [[[165.0, 557.0], [235.0, 557.0], [235.0, 571.0], [165.0, 571.0]], ('41991602', 0.9967367649078369)], [[[53.0, 572.0], [236.0, 572.0], [236.0, 589.0], [53.0, 589.0]], ('Termina1 ID:24066421', 0.9431530833244324)], [[[70.0, 601.0], [166.0, 605.0], [166.0, 622.0], [70.0, 618.0]], ('CARD TOTAL:', 0.9240036010742188)], [[[330.0, 604.0], [394.0, 604.0], [394.0, 621.0], [330.0, 621.0]], ('596.99', 0.9964733123779297)], [[[395.0, 602.0], [465.0, 602.0], [465.0, 627.0], [395.0, 627.0]], ('1OXE', 0.6540957093238831)], [[[56.0, 687.0], [87.0, 687.0], [87.0, 698.0], [56.0, 698.0]], ('laa', 0.5917788147926331)]]	{"store_name": "SELFRIDGES", "store_addr": "TheTraffordCentreManchesterM178DA", "telephone": "0800123400", "date": "04/11", "time": "", "subtotal": "", "tax": "", "total": "\u00a3596.99 \u00a3596.99 \u00a3596.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PANTHERE", "item_value": "\u00a3485.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CLEANER", "item_value": "\u00a32.99", "item_quantity": "1"}, {"item_key": "", "item_name": "RAYBAN", "item_value": "\u00a3109.00", "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	[[[[182.0, 73.0], [225.0, 73.0], [225.0, 124.0], [182.0, 124.0]], ('N', 0.9708780646324158)], [[[223.0, 73.0], [319.0, 71.0], [319.0, 89.0], [223.0, 91.0]], ('TRANSIT', 0.9957271814346313)], [[[223.0, 106.0], [314.0, 106.0], [314.0, 120.0], [223.0, 120.0]], ('The Way To Go.', 0.8771782517433167)], [[[275.0, 132.0], [342.0, 132.0], [342.0, 150.0], [275.0, 150.0]], ('RECEIPT', 0.9758849143981934)], [[[169.0, 163.0], [231.0, 163.0], [231.0, 177.0], [169.0, 177.0]], ('11/29/11', 0.9947670698165894)], [[[273.0, 161.0], [317.0, 161.0], [317.0, 175.0], [273.0, 175.0]], ('00:37', 0.9566508531570435)], [[[167.0, 185.0], [293.0, 183.0], [293.0, 197.0], [167.0, 199.0]], ('NJ TRANSIT RaiL', 0.929088830947876)], [[[169.0, 198.0], [224.0, 198.0], [224.0, 209.0], [169.0, 209.0]], ('1ADULT', 0.9835016131401062)], [[[289.0, 194.0], [351.0, 196.0], [351.0, 210.0], [289.0, 208.0]], ('One Way', 0.8819566965103149)], [[[169.0, 209.0], [227.0, 209.0], [227.0, 220.0], [169.0, 220.0]], ('EWR', 0.9593555331230164)], [[[291.0, 208.0], [350.0, 208.0], [350.0, 219.0], [291.0, 219.0]], ('NYP NYP', 0.9272007346153259)], [[[167.0, 219.0], [242.0, 219.0], [242.0, 233.0], [167.0, 233.0]], ('SERIAL NR', 0.9485087990760803)], [[[291.0, 219.0], [336.0, 219.0], [336.0, 230.0], [291.0, 230.0]], ('07294', 0.9830993413925171)], [[[168.0, 233.0], [200.0, 233.0], [200.0, 244.0], [168.0, 244.0]], ('FARE', 0.9977980852127075)], [[[248.0, 234.0], [256.0, 234.0], [256.0, 243.0], [248.0, 243.0]], (':', 0.8075348138809204)], [[[290.0, 229.0], [344.0, 229.0], [344.0, 243.0], [290.0, 243.0]], ('$12.50', 0.9973363876342773)], [[[166.0, 254.0], [208.0, 254.0], [208.0, 268.0], [166.0, 268.0]], ('TOTAL', 0.9984419941902161)], [[[247.0, 255.0], [256.0, 255.0], [256.0, 267.0], [247.0, 267.0]], (':', 0.9325168132781982)], [[[290.0, 252.0], [344.0, 252.0], [344.0, 266.0], [290.0, 266.0]], ('$12.50', 0.9974262714385986)], [[[163.0, 275.0], [223.0, 277.0], [223.0, 291.0], [163.0, 289.0]], ('PAYMENT', 0.9946303367614746)], [[[246.0, 279.0], [257.0, 279.0], [257.0, 304.0], [246.0, 304.0]], ('"..', 0.5464468002319336)], [[[290.0, 287.0], [345.0, 287.0], [345.0, 301.0], [290.0, 301.0]], ('$12.50', 0.997805655002594)], [[[291.0, 278.0], [335.0, 278.0], [335.0, 289.0], [291.0, 289.0]], ('Debit', 0.97406405210495)], [[[164.0, 290.0], [214.0, 290.0], [214.0, 301.0], [164.0, 301.0]], ('AMOUNT', 0.9960017204284668)], [[[163.0, 302.0], [230.0, 302.0], [230.0, 313.0], [163.0, 313.0]], ('MERCHANT', 0.9966107606887817)], [[[290.0, 299.0], [384.0, 299.0], [384.0, 312.0], [290.0, 312.0]], ('04003590007', 0.960561990737915)], [[[162.0, 312.0], [223.0, 314.0], [223.0, 328.0], [162.0, 326.0]], ('TRANS.', 0.965692937374115)], [[[220.0, 313.0], [240.0, 316.0], [238.0, 326.0], [218.0, 323.0]], ('ID', 0.9948898553848267)], [[[246.0, 316.0], [255.0, 316.0], [255.0, 326.0], [246.0, 326.0]], (':', 0.8795164227485657)], [[[292.0, 313.0], [411.0, 313.0], [411.0, 323.0], [292.0, 323.0]], ('024-0137239562', 0.9903751015663147)], [[[161.0, 324.0], [221.0, 326.0], [221.0, 340.0], [161.0, 338.0]], ('ACCT NO', 0.9433996081352234)], [[[247.0, 328.0], [255.0, 328.0], [255.0, 340.0], [247.0, 340.0]], ('"', 0.585914671421051)], [[[291.0, 325.0], [428.0, 325.0], [428.0, 338.0], [291.0, 338.0]], ('XXXXXXXXXXXX7467', 0.7129397392272949)], [[[161.0, 336.0], [197.0, 338.0], [196.0, 352.0], [160.0, 350.0]], ('NAME', 0.9969943761825562)], [[[247.0, 340.0], [254.0, 340.0], [254.0, 351.0], [247.0, 351.0]], ('..', 0.695728063583374)], [[[290.0, 338.0], [387.0, 338.0], [387.0, 351.0], [290.0, 351.0]], ('RYAN/JOHN T', 0.9456384778022766)], [[[161.0, 350.0], [221.0, 350.0], [221.0, 364.0], [161.0, 364.0]], ('AUTH NO', 0.9365978837013245)], [[[246.0, 354.0], [254.0, 354.0], [254.0, 363.0], [246.0, 363.0]], (':', 0.8460825085639954)], [[[290.0, 350.0], [345.0, 350.0], [345.0, 364.0], [290.0, 364.0]], ('073700', 0.9977067112922668)], [[[159.0, 374.0], [254.0, 375.0], [254.0, 389.0], [159.0, 388.0]], ('359 EWR', 0.9174551367759705)]]	{"store_name": "TRANSIT NJTRANSITRail", "store_addr": "", "telephone": "", "date": "11/29/11", "time": "00:37", "subtotal": "", "tax": "", "total": "$12.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FARE:", "item_value": "$12.50", "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	[[[[187.0, 27.0], [603.0, 60.0], [596.0, 144.0], [180.0, 111.0]], ('COTTON:ON', 0.9678668975830078)], [[[273.0, 164.0], [517.0, 180.0], [516.0, 201.0], [271.0, 186.0]], ('TYRONE SQLIARE', 0.9561644196510315)], [[[321.0, 192.0], [467.0, 201.0], [466.0, 223.0], [319.0, 214.0]], ('6901 22nd ave v', 0.8771536946296692)], [[[359.0, 217.0], [440.0, 221.0], [439.0, 246.0], [358.0, 242.0]], ('Shop470', 0.9946308135986328)], [[[311.0, 241.0], [483.0, 249.0], [482.0, 271.0], [310.0, 263.0]], ('Tyrone Square Ma11', 0.9181535243988037)], [[[290.0, 265.0], [502.0, 274.0], [501.0, 295.0], [289.0, 286.0]], ('St Petersburg 33710 FL', 0.9538291692733765)], [[[272.0, 289.0], [512.0, 298.0], [511.0, 319.0], [271.0, 310.0]], ('Telephone:1-727-343-2230', 0.964521586894989)], [[[359.0, 317.0], [448.0, 322.0], [447.0, 341.0], [358.0, 336.0]], ('Iax Invoice', 0.877261757850647)], [[[224.0, 338.0], [561.0, 346.0], [560.0, 368.0], [224.0, 360.0]], ('Business Reg1stration Ho.:81-8015451111-7', 0.9100073575973511)], [[[191.0, 362.0], [226.0, 365.0], [225.0, 386.0], [189.0, 383.0]], ('Iten', 0.9962174892425537)], [[[482.0, 368.0], [509.0, 368.0], [509.0, 392.0], [482.0, 392.0]], ('Qty', 0.9706212878227234)], [[[580.0, 368.0], [621.0, 368.0], [621.0, 392.0], [580.0, 392.0]], ('Total', 0.9737556576728821)], [[[190.0, 388.0], [438.0, 391.0], [438.0, 413.0], [190.0, 410.0]], ('362366-08-#ss pop sh1rtD', 0.8964357376098633)], [[[486.0, 396.0], [504.0, 386.0], [516.0, 408.0], [498.0, 418.0]], ('1', 0.6795462369918823)], [[[572.0, 392.0], [623.0, 392.0], [623.0, 415.0], [572.0, 415.0]], ('$10CO', 0.9032589793205261)], [[[215.0, 414.0], [293.0, 414.0], [293.0, 435.0], [215.0, 435.0]], ('SIZE-XL', 0.9044610857963562)], [[[443.0, 461.0], [509.0, 461.0], [509.0, 483.0], [443.0, 483.0]], ('Te10iqig', 0.5312790274620056)], [[[572.0, 460.0], [624.0, 460.0], [624.0, 483.0], [572.0, 483.0]], ('$10.C0', 0.9147400259971619)], [[[368.0, 487.0], [508.0, 483.0], [508.0, 506.0], [369.0, 510.0]], ('Total Tax 70x ', 0.8105136752128601)], [[[580.0, 483.0], [625.0, 483.0], [625.0, 506.0], [580.0, 506.0]], ('$0.70', 0.9162834286689758)], [[[573.0, 506.0], [625.0, 506.0], [625.0, 529.0], [573.0, 529.0]], ('$10.70', 0.969585120677948)], [[[383.0, 535.0], [508.0, 531.0], [508.0, 553.0], [384.0, 556.0]], ('EFT Paynert Visa', 0.9380747079849243)], [[[574.0, 529.0], [626.0, 529.0], [626.0, 552.0], [574.0, 552.0]], ('$10.70', 0.945857584476471)], [[[360.0, 560.0], [509.0, 553.0], [510.0, 575.0], [361.0, 582.0]], ('Auth No.84093 SH', 0.9137004613876343)], [[[460.0, 579.0], [511.0, 579.0], [511.0, 602.0], [460.0, 602.0]], ('Change', 0.99395751953125)], [[[585.0, 575.0], [630.0, 575.0], [630.0, 598.0], [585.0, 598.0]], ('0]0$', 0.6363599300384521)], [[[193.0, 614.0], [371.0, 606.0], [372.0, 628.0], [194.0, 636.0]], ('Total no.of units:1', 0.8646093606948853)], [[[191.0, 640.0], [393.0, 630.0], [395.0, 652.0], [193.0, 662.0]], ('Your Cashier uas Tashina', 0.9420163035392761)], [[[489.0, 674.0], [612.0, 670.0], [613.0, 691.0], [490.0, 696.0]], ('01/103001002499', 0.995866596698761)], [[[191.0, 691.0], [387.0, 679.0], [388.0, 701.0], [193.0, 713.0]], ('Sat Aug 26 2017 3:33 PH', 0.9249210357666016)], [[[537.0, 696.0], [614.0, 696.0], [614.0, 718.0], [537.0, 718.0]], ('POS103001', 0.9942083358764648)], [[[195.0, 716.0], [290.0, 710.0], [291.0, 732.0], [196.0, 738.0]], ('Terminal ID', 0.8958728909492493)], [[[193.0, 743.0], [381.0, 730.0], [383.0, 751.0], [195.0, 764.0]], ('Trans Ho.Reg 01/85192', 0.9218071699142456)], [[[264.0, 762.0], [549.0, 742.0], [550.0, 764.0], [265.0, 784.0]], ('THANK YOU FOR SHOPPING A COTTON ON', 0.9247441291809082)], [[[280.0, 788.0], [534.0, 773.0], [535.0, 794.0], [281.0, 810.0]], ('Please refer to instort signage', 0.9336339831352234)], [[[264.0, 818.0], [549.0, 795.0], [550.0, 813.0], [265.0, 836.0]], ('or our uebsite wuu.cottor on.con for', 0.9173814058303833)], [[[306.0, 837.0], [504.0, 821.0], [506.0, 843.0], [308.0, 859.0]], ('Refund & Exchange PiLicy', 0.9099532961845398)], [[[308.0, 861.0], [505.0, 844.0], [507.0, 866.0], [310.0, 883.0]], ('JOIN US FOR 30% OFF YOUR', 0.8941763043403625)], [[[332.0, 886.0], [491.0, 871.0], [493.0, 892.0], [334.0, 907.0]], ('FIRST ONL INE ORDIR!', 0.9037306904792786)], [[[275.0, 918.0], [544.0, 892.0], [546.0, 913.0], [277.0, 939.0]], ("DON'T HISS THE LATEST S YLE TIPS,", 0.8994883894920349)], [[[249.0, 945.0], [565.0, 915.0], [568.0, 940.0], [251.0, 971.0]], ('NEWS & EXCLUSIVE OFFERS FRIH COTTON ON', 0.9110617637634277)], [[[318.0, 965.0], [509.0, 948.0], [511.0, 973.0], [320.0, 990.0]], ('STRAIGHT TO VOUR II BOX', 0.8744504451751709)], [[[407.0, 983.0], [540.0, 975.0], [542.0, 995.0], [408.0, 999.0]], ('con/llS/sibscribe', 0.8418183326721191)]]	{"store_name": "COTTION:ON", "store_addr": "TYRONESQUARE Shop470 TyroneSquareMall StPetersburg33710FL", "telephone": "1-727-343-2230", "date": "Aug262017", "time": "3:33PM", "subtotal": "$10.00", "tax": "$0.70", "total": "$10.70", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "362366-08-#sspopshirt.D", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SIZE-XL", "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	[[[[202.0, 11.0], [374.0, 14.0], [374.0, 31.0], [202.0, 28.0]], ('HOMEDELIVERY', 0.9979329109191895)], [[[68.0, 70.0], [235.0, 73.0], [234.0, 89.0], [68.0, 87.0]], ('QTY ITEM NAME', 0.9397386908531189)], [[[390.0, 77.0], [465.0, 77.0], [465.0, 94.0], [390.0, 94.0]], ('AMOUNT', 0.9975174069404602)], [[[90.0, 113.0], [104.0, 113.0], [104.0, 127.0], [90.0, 127.0]], ('1', 0.9888567328453064)], [[[120.0, 111.0], [246.0, 114.0], [245.0, 131.0], [119.0, 128.0]], ('xo Chicken', 0.8947463035583496)], [[[402.0, 116.0], [464.0, 118.0], [464.0, 136.0], [401.0, 134.0]], ('40.00', 0.9969814419746399)], [[[88.0, 132.0], [102.0, 132.0], [102.0, 147.0], [88.0, 147.0]], ('1', 0.9917968511581421)], [[[120.0, 130.0], [270.0, 136.0], [269.0, 154.0], [119.0, 148.0]], ('Tom Yum Soup', 0.9374648928642273)], [[[403.0, 136.0], [465.0, 138.0], [465.0, 156.0], [402.0, 154.0]], ('26.00', 0.9965972900390625)], [[[86.0, 153.0], [100.0, 153.0], [100.0, 169.0], [86.0, 169.0]], ('1', 0.9924790859222412)], [[[121.0, 154.0], [195.0, 157.0], [195.0, 172.0], [120.0, 169.0]], ('Prawns', 0.9977080821990967)], [[[416.0, 158.0], [467.0, 160.0], [466.0, 178.0], [415.0, 175.0]], ('8.00', 0.9977839589118958)], [[[85.0, 174.0], [98.0, 174.0], [98.0, 191.0], [85.0, 191.0]], ('1', 0.9923925399780273)], [[[119.0, 174.0], [306.0, 180.0], [305.0, 197.0], [118.0, 190.0]], ('Salt and Pepper', 0.9789019227027893)], [[[403.0, 178.0], [467.0, 181.0], [467.0, 199.0], [402.0, 196.0]], ('26.00', 0.9978022575378418)], [[[118.0, 195.0], [281.0, 201.0], [281.0, 218.0], [117.0, 212.0]], ('Chicken Wings', 0.9791269898414612)], [[[82.0, 217.0], [96.0, 217.0], [96.0, 232.0], [82.0, 232.0]], ('1', 0.9479168057441711)], [[[115.0, 216.0], [357.0, 222.0], [357.0, 241.0], [114.0, 236.0]], ('Chicken Spring Roll', 0.9588925242424011)], [[[404.0, 222.0], [469.0, 225.0], [469.0, 242.0], [403.0, 240.0]], ('24.00', 0.9976739883422852)], [[[162.0, 265.0], [313.0, 267.0], [312.0, 287.0], [162.0, 285.0]], ('GROSS AMT:', 0.9381529092788696)], [[[378.0, 268.0], [471.0, 270.0], [471.0, 291.0], [378.0, 289.0]], ('124.00', 0.9986295700073242)], [[[51.0, 314.0], [105.0, 314.0], [105.0, 332.0], [51.0, 332.0]], ('DATE', 0.9986477494239807)], [[[129.0, 315.0], [404.0, 320.0], [403.0, 337.0], [128.0, 331.0]], ('28-Jun-201505:30PM', 0.9798190593719482)], [[[156.0, 366.0], [416.0, 369.0], [415.0, 386.0], [156.0, 383.0]], ('FRESH FAST FANTASTIC', 0.9566164016723633)]]	{"store_name": "HOMEDELIVERY", "store_addr": "", "telephone": "", "date": "28-Jun-2015", "time": "05:30PM", "subtotal": "", "tax": "", "total": "124.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "XoChicken", "item_value": "40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TomYumSoup", "item_value": "26.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Prawns", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SaltandPepper", "item_value": "26.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenWings", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenSpringRoll", "item_value": "", "item_quantity": ""}, {"item_key": "ITEMNAME", "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	[[[[104.0, 34.0], [244.0, 41.0], [243.0, 59.0], [103.0, 51.0]], ('COMPTOIR LIBANAIS', 0.983731210231781)], [[[143.0, 62.0], [207.0, 65.0], [206.0, 79.0], [143.0, 75.0]], ('Level 4 Irinity', 0.8576838374137878)], [[[160.0, 55.0], [191.0, 55.0], [191.0, 66.0], [160.0, 66.0]], ('Leecs', 0.9492446780204773)], [[[145.0, 72.0], [205.0, 76.0], [204.0, 90.0], [144.0, 86.0]], ('Albfon Street', 0.8625756502151489)], [[[158.0, 92.0], [191.0, 95.0], [190.0, 110.0], [157.0, 107.0]], ('AYS4S7', 0.6182424426078796)], [[[142.0, 111.0], [206.0, 115.0], [205.0, 129.0], [141.0, 125.0]], ('Date:28/01/2017', 0.9216262698173523)], [[[145.0, 123.0], [202.0, 127.0], [201.0, 140.0], [144.0, 136.0]], ('Tine:20:02:22', 0.8435544371604919)], [[[72.0, 139.0], [123.0, 143.0], [122.0, 156.0], [71.0, 152.0]], ('Table 14-S1', 0.8810498714447021)], [[[72.0, 149.0], [151.0, 154.0], [150.0, 168.0], [71.0, 163.0]], ('TrensID13230523', 0.7969754934310913)], [[[71.0, 162.0], [133.0, 164.0], [132.0, 177.0], [71.0, 175.0]], ('User:Bethanfe', 0.9028358459472656)], [[[70.0, 182.0], [132.0, 184.0], [131.0, 198.0], [70.0, 196.0]], ('2x Coca-Cola', 0.8261780142784119)], [[[71.0, 192.0], [135.0, 195.0], [134.0, 209.0], [70.0, 206.0]], ('x Sode Keter', 0.794121503829956)], [[[223.0, 187.0], [247.0, 187.0], [247.0, 199.0], [223.0, 199.0]], ('3.90', 0.9531542062759399)], [[[70.0, 202.0], [123.0, 205.0], [122.0, 218.0], [69.0, 215.0]], ('2xAinzo', 0.5766326189041138)], [[[223.0, 198.0], [248.0, 198.0], [248.0, 210.0], [223.0, 210.0]], ('0913', 0.7056549787521362)], [[[72.0, 213.0], [155.0, 215.0], [154.0, 229.0], [72.0, 227.0]], ('1xApple Julce Reg', 0.781536877155304)], [[[223.0, 216.0], [247.0, 218.0], [246.0, 230.0], [221.0, 228.0]], ('3.45', 0.979233980178833)], [[[71.0, 242.0], [153.0, 244.0], [152.0, 258.0], [71.0, 256.0]], ('Service 010.00', 0.8421910405158997)], [[[75.0, 233.0], [116.0, 235.0], [116.0, 246.0], [75.0, 244.0]], ('Sbtotal:', 0.7535874843597412)], [[[217.0, 235.0], [248.0, 235.0], [248.0, 249.0], [217.0, 249.0]], ('16.35', 0.9670875668525696)], [[[221.0, 246.0], [248.0, 246.0], [248.0, 259.0], [221.0, 259.0]], ('1:64', 0.8524633049964905)], [[[71.0, 263.0], [101.0, 263.0], [101.0, 284.0], [71.0, 284.0]], ('Total:', 0.8370687365531921)], [[[217.0, 266.0], [249.0, 266.0], [249.0, 288.0], [217.0, 288.0]], ('1799', 0.9251420497894287)], [[[71.0, 288.0], [165.0, 290.0], [165.0, 304.0], [71.0, 302.0]], ('VAT ncluded n total', 0.901483952999115)], [[[222.0, 290.0], [249.0, 293.0], [248.0, 308.0], [220.0, 305.0]], ('$2.72', 0.8613125681877136)], [[[67.0, 310.0], [111.0, 310.0], [111.0, 324.0], [67.0, 324.0]], ('Tendered:', 0.9134769439697266)], [[[67.0, 320.0], [105.0, 323.0], [104.0, 338.0], [66.0, 335.0]], ('Change:', 0.7494695782661438)], [[[218.0, 312.0], [249.0, 312.0], [249.0, 327.0], [218.0, 327.0]], ('20.00', 0.9694976806640625)], [[[223.0, 325.0], [248.0, 325.0], [248.0, 338.0], [223.0, 338.0]], ('2.01', 0.967159628868103)], [[[67.0, 341.0], [91.0, 344.0], [89.0, 356.0], [66.0, 353.0]], ('Cash:', 0.9394941329956055)], [[[218.0, 346.0], [250.0, 346.0], [250.0, 361.0], [218.0, 361.0]], ('17.99', 0.9875030517578125)], [[[171.0, 365.0], [275.0, 369.0], [274.0, 383.0], [171.0, 380.0]], ('VATRgNo191 247896', 0.8850893378257751)], [[[109.0, 407.0], [234.0, 412.0], [233.0, 429.0], [108.0, 424.0]], ('has beo s to your b1', 0.7476006150245667)], [[[112.0, 430.0], [225.0, 435.0], [224.0, 449.0], [111.0, 444.0]], ('Thank you for oun.cuso', 0.8581991791725159)]]	{"store_name": "COMPTOIRLIBANAIS", "store_addr": "", "telephone": "", "date": "28/01/2017", "time": "20:02:22", "subtotal": "\u00a315.35", "tax": "\u00a32.72", "total": "\u00a317.99", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "AppleJuiceReg", "item_value": "\u00a33.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SodaWater", "item_value": "\u00a31.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Coca-Cola", "item_value": "\u00a37.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a33.45", "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	[[[[118.0, 56.0], [516.0, 117.0], [506.0, 174.0], [109.0, 113.0]], ('Albertsons', 0.9783660769462585)], [[[218.0, 135.0], [418.0, 161.0], [410.0, 217.0], [211.0, 191.0]], ('Sav-on', 0.9433505535125732)], [[[169.0, 201.0], [482.0, 243.0], [479.0, 264.0], [166.0, 223.0]], ('ALBERTSONS6796951)734-8451', 0.8943268060684204)], [[[276.0, 192.0], [400.0, 209.0], [398.0, 223.0], [274.0, 206.0]], ('HASVAS', 0.7540120482444763)], [[[177.0, 219.0], [464.0, 258.0], [460.0, 280.0], [174.0, 241.0]], ('STORE DIRECTOR-Toa Fleisher', 0.8515422344207764)], [[[179.0, 270.0], [478.0, 308.0], [475.0, 330.0], [176.0, 292.0]], ('9/03/09 15:44 6796 920081 462', 0.9082304835319519)], [[[232.0, 334.0], [375.0, 349.0], [372.0, 369.0], [229.0, 355.0]], ('GROCERY', 0.9981509447097778)], [[[220.0, 370.0], [318.0, 381.0], [316.0, 403.0], [218.0, 392.0]], ('ALB PASTA', 0.9501202702522278)], [[[128.0, 383.0], [222.0, 391.0], [220.0, 413.0], [126.0, 405.0]], ('WAS 2.09', 0.9358624219894409)], [[[336.0, 401.0], [480.0, 416.0], [478.0, 438.0], [334.0, 423.0]], ('BB SAVINGS .60', 0.8862065076828003)], [[[462.0, 400.0], [521.0, 400.0], [521.0, 419.0], [462.0, 419.0]], ('1.49F', 0.97198086977005)], [[[253.0, 435.0], [358.0, 444.0], [355.0, 466.0], [251.0, 457.0]], ('DAIRY', 0.9982118606567383)], [[[217.0, 475.0], [330.0, 483.0], [328.0, 505.0], [216.0, 496.0]], ('ALB CHEESE', 0.9597002267837524)], [[[122.0, 492.0], [220.0, 498.0], [219.0, 519.0], [121.0, 513.0]], ('WAS3.49', 0.9943968057632446)], [[[470.0, 492.0], [533.0, 495.0], [532.0, 514.0], [470.0, 511.0]], ('2.49F', 0.9867213368415833)], [[[338.0, 505.0], [496.0, 513.0], [495.0, 534.0], [337.0, 526.0]], ('BB SAVINGS 1.00', 0.9412893652915955)], [[[135.0, 515.0], [254.0, 521.0], [253.0, 543.0], [134.0, 537.0]], ('14/5.00', 0.9878450036048889)], [[[217.0, 541.0], [376.0, 548.0], [375.0, 569.0], [216.0, 562.0]], ('ALB SOUR CREAM', 0.9425426125526428)], [[[121.0, 559.0], [220.0, 564.0], [219.0, 585.0], [120.0, 580.0]], ('WAS1.49', 0.9941658973693848)], [[[476.0, 552.0], [539.0, 552.0], [539.0, 574.0], [476.0, 574.0]], ('1.25F', 0.9793590307235718)], [[[340.0, 568.0], [495.0, 572.0], [494.0, 595.0], [340.0, 590.0]], ('BB SAVINGS .24', 0.935174822807312)], [[[218.0, 586.0], [421.0, 592.0], [420.0, 613.0], [217.0, 607.0]], ('ALB COTTAGE CHEESE', 0.9588950276374817)], [[[120.0, 603.0], [221.0, 609.0], [220.0, 631.0], [119.0, 625.0]], ('WAS 2.69', 0.9336909055709839)], [[[479.0, 595.0], [543.0, 595.0], [543.0, 614.0], [479.0, 614.0]], ('1.99F', 0.9880486726760864)], [[[343.0, 610.0], [497.0, 613.0], [496.0, 634.0], [343.0, 632.0]], ('BB SAVINGS.70', 0.9155861735343933)], [[[185.0, 651.0], [436.0, 656.0], [435.0, 678.0], [184.0, 673.0]], ('FROZEN FOOD', 0.959018349647522)], [[[224.0, 699.0], [420.0, 699.0], [420.0, 720.0], [224.0, 720.0]], ('ALB CHOP BROCCOLI', 0.9392849802970886)], [[[491.0, 698.0], [554.0, 698.0], [554.0, 721.0], [491.0, 721.0]], ('1.29F', 0.9850489497184753)], [[[121.0, 720.0], [225.0, 722.0], [224.0, 744.0], [120.0, 742.0]], ('WAS2.39', 0.9936907887458801)], [[[352.0, 724.0], [519.0, 721.0], [519.0, 742.0], [353.0, 745.0]], ('BB SAVINGS 1.10', 0.9318047165870667)], [[[123.0, 771.0], [276.0, 771.0], [276.0, 792.0], [123.0, 792.0]], (' SUBTOTAL', 0.870227038860321)], [[[357.0, 768.0], [407.0, 768.0], [407.0, 792.0], [357.0, 792.0]], ('8.51', 0.9963057637214661)], [[[121.0, 794.0], [218.0, 794.0], [218.0, 819.0], [121.0, 819.0]], ('TAX', 0.8217296004295349)], [[[378.0, 792.0], [411.0, 792.0], [411.0, 814.0], [378.0, 814.0]], ('.00', 0.9886770248413086)], [[[123.0, 820.0], [245.0, 820.0], [245.0, 845.0], [123.0, 845.0]], ('*TOTAL', 0.8605844378471375)], [[[364.0, 815.0], [414.0, 815.0], [414.0, 839.0], [364.0, 839.0]], ('8.51', 0.9970512390136719)], [[[140.0, 873.0], [276.0, 871.0], [276.0, 896.0], [141.0, 898.0]], ('Albertsons', 0.9840685129165649)], [[[140.0, 900.0], [389.0, 889.0], [390.0, 914.0], [141.0, 925.0]], ('1260 E.Ontari0 Ave', 0.8752074837684631)], [[[140.0, 931.0], [356.0, 916.0], [357.0, 941.0], [142.0, 956.0]], ('Corona,CA92881', 0.959319531917572)], [[[389.0, 940.0], [441.0, 936.0], [443.0, 960.0], [391.0, 964.0]], ('5016', 0.999301016330719)], [[[185.0, 956.0], [399.0, 940.0], [401.0, 965.0], [187.0, 981.0]], ('8.51 EFT DEBIT', 0.9018349051475525)]]	{"store_name": "Albertsons Sav-on ALBERISONS6796 Albertsons", "store_addr": "1260E.OntarioAve Corona.CA92881", "telephone": "(951)734-8451", "date": "9/03/09", "time": "15:44", "subtotal": "8.51", "tax": ".00", "total": "8.51", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ALBPASTA", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "ALBCHEESE", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "ALBSOURCREAM", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "ALBCOTTAGECHEESE", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ALBCHOPBROCCOLI", "item_value": "1.29", "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	[[[[76.0, 36.0], [146.0, 34.0], [146.0, 59.0], [76.0, 61.0]], ('ROSS', 0.9405103921890259)], [[[78.0, 68.0], [145.0, 68.0], [145.0, 79.0], [78.0, 79.0]], ('SPRINGFIELD.IL', 0.9120234251022339)], [[[68.0, 77.0], [151.0, 77.0], [151.0, 90.0], [68.0, 90.0]], ('Phone217-698-6438', 0.9507432579994202)], [[[22.0, 103.0], [156.0, 106.0], [155.0, 120.0], [21.0, 117.0]], ('400084751261 re0/n1te f1oerp', 0.8165037035942078)], [[[22.0, 112.0], [152.0, 114.0], [152.0, 131.0], [21.0, 129.0]], ('400083084132RINSE 19BK FLAP', 0.8361683487892151)], [[[158.0, 115.0], [192.0, 112.0], [194.0, 127.0], [159.0, 130.0]], ('10.99', 0.9684341549873352)], [[[161.0, 106.0], [192.0, 104.0], [192.0, 116.0], [162.0, 118.0]], ('9.99', 0.9609546661376953)], [[[21.0, 124.0], [118.0, 125.0], [118.0, 139.0], [21.0, 138.0]], ('SIH 01626006000', 0.7299783229827881)], [[[159.0, 133.0], [190.0, 135.0], [189.0, 150.0], [158.0, 148.0]], ('823.77', 0.7863659262657166)], [[[162.0, 124.0], [194.0, 124.0], [194.0, 139.0], [162.0, 139.0]], ('2.79 R', 0.8652321696281433)], [[[21.0, 134.0], [64.0, 134.0], [64.0, 148.0], [21.0, 148.0]], ('Subtotal', 0.9051698446273804)], [[[20.0, 144.0], [94.0, 145.0], [94.0, 159.0], [20.0, 158.0]], ('Saes Tax 8.000s', 0.8251581192016602)], [[[22.0, 157.0], [45.0, 157.0], [45.0, 168.0], [22.0, 168.0]], ('Total', 0.8352488279342651)], [[[43.0, 168.0], [183.0, 168.0], [183.0, 178.0], [43.0, 178.0]], ('Sold:3 Returned:0 Delsteo:0', 0.7679892778396606)], [[[20.0, 190.0], [94.0, 190.0], [94.0, 200.0], [20.0, 200.0]], ('Sift Card Redeen', 0.8022729158401489)], [[[162.0, 186.0], [192.0, 186.0], [192.0, 200.0], [162.0, 200.0]], ('$25.00', 0.9137375950813293)], [[[26.0, 199.0], [160.0, 196.0], [160.0, 210.0], [26.0, 213.0]], ('Card No.60510938649400X<S0', 0.8412806987762451)], [[[27.0, 210.0], [92.0, 210.0], [92.0, 224.0], [27.0, 224.0]], ('Balance:0.00', 0.8265147805213928)], [[[25.0, 222.0], [102.0, 220.0], [102.0, 233.0], [26.0, 235.0]], ('Auth.No.798201', 0.8717179894447327)], [[[166.0, 239.0], [193.0, 239.0], [193.0, 254.0], [166.0, 254.0]], ('$0.67', 0.8768519163131714)], [[[17.0, 256.0], [154.0, 250.0], [155.0, 264.0], [17.0, 270.0]], ('Reoa1pt1504-04-2012-3080-7', 0.8794739246368408)], [[[17.0, 266.0], [207.0, 261.0], [207.0, 278.0], [17.0, 283.0]], ('Tender ata11:1-02-7-15-002500-01-000067', 0.8872631788253784)], [[[18.0, 278.0], [109.0, 276.0], [110.0, 290.0], [18.0, 292.0]], ('Gft Card Redeen 00', 0.8289528489112854)]]	{"store_name": "ROSS", "store_addr": "SPRINGFIELD.IL", "telephone": "217-698-6438", "date": "", "time": "", "subtotal": "$23.77", "tax": "$1.90", "total": "$25.67", "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	[[[[85.0, 4.0], [153.0, 0.0], [155.0, 19.0], [87.0, 25.0]], ('ROSS', 0.907322347164154)], [[[84.0, 28.0], [156.0, 25.0], [156.0, 38.0], [85.0, 42.0]], ('LAS VEGAS.NV', 0.898112952709198)], [[[85.0, 20.0], [155.0, 14.0], [157.0, 28.0], [86.0, 34.0]], ('DRESS FOR LESS', 0.8776702880859375)], [[[75.0, 40.0], [160.0, 34.0], [161.0, 48.0], [76.0, 54.0]], ('Phane:702-731-3361', 0.9197940826416016)], [[[34.0, 83.0], [206.0, 74.0], [207.0, 88.0], [35.0, 97.0]], ('40016892023AN2HLSRLC RCRB12.99R', 0.8351902365684509)], [[[34.0, 96.0], [70.0, 93.0], [71.0, 105.0], [35.0, 107.0]], ('Subtotal', 0.9325835108757019)], [[[170.0, 90.0], [201.0, 87.0], [202.0, 98.0], [171.0, 101.0]], ('$26.99', 0.9258535504341125)], [[[33.0, 105.0], [100.0, 99.0], [101.0, 114.0], [34.0, 119.0]], ('Sales ax8.250%', 0.8710348010063171)], [[[175.0, 100.0], [202.0, 100.0], [202.0, 112.0], [175.0, 112.0]], ('$2.23', 0.991136372089386)], [[[34.0, 116.0], [59.0, 116.0], [59.0, 127.0], [34.0, 127.0]], ('Total', 0.940311074256897)], [[[170.0, 111.0], [200.0, 109.0], [201.0, 121.0], [171.0, 123.0]], ('$29.21', 0.9695103168487549)], [[[50.0, 123.0], [194.0, 119.0], [195.0, 133.0], [51.0, 137.0]], ('Sold2 Returned:0 Deleted0', 0.8667634725570679)], [[[35.0, 147.0], [61.0, 147.0], [61.0, 158.0], [35.0, 158.0]], ('Debit', 0.9125150442123413)], [[[172.0, 143.0], [200.0, 143.0], [200.0, 154.0], [172.0, 154.0]], ('$29.21', 0.9234699606895447)], [[[40.0, 156.0], [167.0, 150.0], [168.0, 163.0], [41.0, 170.0]], ('Card.00000006358', 0.7346724271774292)], [[[42.0, 167.0], [126.0, 164.0], [126.0, 175.0], [43.0, 179.0]], ('8073070067930588092', 0.976351261138916)], [[[41.0, 178.0], [115.0, 174.0], [115.0, 187.0], [42.0, 191.0]], ('Ath.No.131170', 0.9146233797073364)], [[[41.0, 186.0], [127.0, 185.0], [127.0, 199.0], [41.0, 201.0]], ('AID000000042203', 0.9429894685745239)], [[[44.0, 200.0], [70.0, 200.0], [70.0, 211.0], [44.0, 211.0]], ('Debit', 0.9554233551025391)], [[[103.0, 220.0], [151.0, 220.0], [151.0, 230.0], [103.0, 230.0]], ('Cardnolder', 0.9274835586547852)]]	{"store_name": "ROSS", "store_addr": "", "telephone": "702-731-3361", "date": "", "time": "", "subtotal": "$26.98", "tax": "$2.23", "total": "$29.21 $29.21", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "RED/BLKBUFF", "item_value": "12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LSRLCRCRB", "item_value": "13.99", "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	[[[[1101.0, 369.0], [1724.0, 333.0], [1735.0, 526.0], [1112.0, 562.0]], ('ROSS', 0.8956341743469238)], [[[1124.0, 572.0], [1716.0, 549.0], [1719.0, 621.0], [1127.0, 644.0]], ('DRESS FOR LESS', 0.9012035727500916)], [[[1150.0, 656.0], [1643.0, 637.0], [1646.0, 721.0], [1153.0, 740.0]], ('SAN DIEGO,CA', 0.9126117825508118)], [[[1039.0, 753.0], [1751.0, 730.0], [1753.0, 814.0], [1041.0, 837.0]], ('Phone:858-560-0071', 0.97922283411026)], [[[1901.0, 993.0], [2216.0, 968.0], [2223.0, 1056.0], [1908.0, 1081.0]], ('100.00N', 0.9849576354026794)], [[[653.0, 1033.0], [988.0, 1033.0], [988.0, 1109.0], [653.0, 1109.0]], ('Gift Card', 0.9717708230018616)], [[[717.0, 1122.0], [1781.0, 1095.0], [1783.0, 1180.0], [719.0, 1206.0]], ('Card No.610899617984XXXX<K>', 0.9345719218254089)], [[[722.0, 1210.0], [1267.0, 1210.0], [1267.0, 1281.0], [722.0, 1281.0]], ('Balance:100.00', 0.9573624730110168)], [[[726.0, 1302.0], [1271.0, 1302.0], [1271.0, 1373.0], [726.0, 1373.0]], ('Auth No.010244', 0.961854875087738)], [[[824.0, 1391.0], [1965.0, 1356.0], [1968.0, 1444.0], [827.0, 1479.0]], ('Redeemable for Merchandise only', 0.9466694593429565)], [[[1806.0, 1451.0], [2092.0, 1430.0], [2098.0, 1518.0], [1813.0, 1539.0]], ('$100.00', 0.930640697479248)], [[[649.0, 1483.0], [945.0, 1483.0], [945.0, 1554.0], [649.0, 1554.0]], ('Subtotal', 0.9948318004608154)], [[[1807.0, 1542.0], [2086.0, 1532.0], [2089.0, 1612.0], [1810.0, 1622.0]], ('$100.00', 0.9960404634475708)], [[[649.0, 1567.0], [833.0, 1567.0], [833.0, 1646.0], [649.0, 1646.0]], ('Total', 0.9964909553527832)], [[[824.0, 1660.0], [2013.0, 1625.0], [2015.0, 1709.0], [826.0, 1744.0]], ('Sold:1 Returned:0 Deleted:0', 0.9122834801673889)], [[[1798.0, 1812.0], [2088.0, 1796.0], [2093.0, 1889.0], [1803.0, 1904.0]], ('$100.00', 0.9959696531295776)], [[[636.0, 1835.0], [833.0, 1835.0], [833.0, 1911.0], [636.0, 1911.0]], ('Debit', 0.9977442622184753)], [[[704.0, 1924.0], [1627.0, 1911.0], [1628.0, 1995.0], [705.0, 2008.0]], ('Card No.XXXxXXXXXxxX7515', 0.7672660946846008)], [[[717.0, 2016.0], [1409.0, 2016.0], [1409.0, 2087.0], [717.0, 2087.0]], ('8062080136100542400', 0.9679650664329529)], [[[713.0, 2108.0], [1297.0, 2108.0], [1297.0, 2180.0], [713.0, 2180.0]], ('Auth.No.531732', 0.9442471265792847)], [[[704.0, 2193.0], [2203.0, 2184.0], [2204.0, 2268.0], [705.0, 2277.0]], ('Ref.No.S-000008354-0000000000000-XXXXX', 0.9668663144111633)], [[[1216.0, 2289.0], [1589.0, 2289.0], [1589.0, 2365.0], [1216.0, 2365.0]], ('Cardholder', 0.9540549516677856)], [[[838.0, 2373.0], [1980.0, 2382.0], [1980.0, 2466.0], [837.0, 2457.0]], ('Please Retain for Your Records', 0.9646214842796326)], [[[615.0, 2566.0], [1740.0, 2575.0], [1739.0, 2646.0], [614.0, 2637.0]], ('Receipt #:1361-05-4374-6207-7', 0.957050085067749)], [[[611.0, 2658.0], [1285.0, 2672.0], [1283.0, 2743.0], [609.0, 2730.0]], ('Gift Card Issue 00', 0.9349703192710876)], [[[599.0, 2746.0], [912.0, 2756.0], [909.0, 2844.0], [596.0, 2834.0]], ('Debit 00', 0.9728447794914246)], [[[805.0, 3044.0], [1938.0, 3084.0], [1935.0, 3168.0], [802.0, 3128.0]], ('Receipt # 1361-05-4374-6207-7', 0.9640101194381714)], [[[563.0, 3434.0], [969.0, 3463.0], [962.0, 3555.0], [556.0, 3526.0]], ('Store:1361', 0.9835570454597473)], [[[1194.0, 3472.0], [1492.0, 3488.0], [1486.0, 3593.0], [1188.0, 3577.0]], ('Reg:05', 0.9440005421638489)], [[[1813.0, 3505.0], [2262.0, 3534.0], [2255.0, 3635.0], [1806.0, 3606.0]], ('Tran:4374', 0.9637073874473572)], [[[559.0, 3543.0], [1570.0, 3614.0], [1563.0, 3702.0], [552.0, 3631.0]], ('Date:07/25/16 Time:06:29', 0.9362626075744629)], [[[1670.0, 3623.0], [2252.0, 3656.0], [2247.0, 3744.0], [1665.0, 3711.0]], ('Ass0c:260523', 0.8862784504890442)], [[[740.0, 3656.0], [1987.0, 3753.0], [1979.0, 3854.0], [732.0, 3757.0]], ('Thank you for shopping at Ross!', 0.952507734298706)], [[[998.0, 3795.0], [1733.0, 3858.0], [1726.0, 3946.0], [990.0, 3883.0]], ('www.rossstores.com', 0.992706835269928)]]	{"store_name": "ROSS", "store_addr": "SANDIEGO,CA", "telephone": "858-560-0071", "date": "07/25/16", "time": "06:29", "subtotal": "$100.00", "tax": "", "total": "$100.00 $100.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GiftCard", "item_value": "100.00N", "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	[[[[726.0, 140.0], [946.0, 133.0], [947.0, 168.0], [727.0, 175.0]], ('StopsShop', 0.8942625522613525)], [[[740.0, 198.0], [923.0, 193.0], [924.0, 217.0], [740.0, 222.0]], ('680#cOH dO1S', 0.5223074555397034)], [[[773.0, 217.0], [905.0, 213.0], [905.0, 235.0], [774.0, 239.0]], ('AL3CN.MA', 0.8196229338645935)], [[[783.0, 233.0], [883.0, 233.0], [883.0, 257.0], [783.0, 257.0]], ('779-9116', 0.8594529032707214)], [[[732.0, 255.0], [950.0, 252.0], [950.0, 275.0], [732.0, 279.0]], ('WW.STNDSHOP.COM', 0.8718923926353455)], [[[615.0, 295.0], [854.0, 288.0], [855.0, 317.0], [616.0, 324.0]], ('THANYOU!!! DARRIN', 0.8454173803329468)], [[[868.0, 295.0], [1043.0, 288.0], [1044.0, 311.0], [869.0, 319.0]], ('1:21pm 7/18/12', 0.9139858484268188)], [[[613.0, 315.0], [838.0, 312.0], [839.0, 340.0], [614.0, 344.0]], ('Tran 33212 Termia', 0.8613195419311523)], [[[866.0, 314.0], [1046.0, 306.0], [1047.0, 335.0], [867.0, 342.0]], ('4Cashier 50147', 0.9174972176551819)], [[[613.0, 362.0], [723.0, 362.0], [723.0, 380.0], [613.0, 380.0]], ('Customer', 0.9533966779708862)], [[[715.0, 358.0], [848.0, 358.0], [848.0, 380.0], [715.0, 380.0]], ('Card Nuno', 0.8429459929466248)], [[[896.0, 354.0], [1016.0, 350.0], [1017.0, 373.0], [897.0, 377.0]], ('109990001', 0.9723935723304749)], [[[617.0, 382.0], [703.0, 382.0], [703.0, 400.0], [617.0, 400.0]], ('PRODUCE.', 0.9288119673728943)], [[[615.0, 397.0], [785.0, 393.0], [785.0, 420.0], [615.0, 424.0]], ('TO0.44LB', 0.8164990544319153)], [[[815.0, 397.0], [938.0, 393.0], [939.0, 418.0], [816.0, 422.0]], ('1.99/1LB', 0.8533657193183899)], [[[972.0, 408.0], [1048.0, 408.0], [1048.0, 432.0], [972.0, 432.0]], ('0.8*', 0.7643593549728394)], [[[615.0, 418.0], [772.0, 418.0], [772.0, 442.0], [615.0, 442.0]], ('APPLE RED DEL', 0.8814364671707153)], [[[665.0, 442.0], [783.0, 442.0], [783.0, 460.0], [665.0, 460.0]], ('0.LB', 0.7216223478317261)], [[[816.0, 437.0], [941.0, 430.0], [942.0, 455.0], [818.0, 462.0]], ('69/1LB', 0.7745338082313538)], [[[611.0, 455.0], [701.0, 461.0], [699.0, 484.0], [609.0, 478.0]], ('BANANAS', 0.9711835980415344)], [[[975.0, 450.0], [1035.0, 450.0], [1035.0, 473.0], [975.0, 473.0]], ('0.55', 0.6177660226821899)], [[[685.0, 480.0], [783.0, 480.0], [783.0, 503.0], [685.0, 503.0]], ('Subtotal', 0.9631883502006531)], [[[965.0, 474.0], [1032.0, 470.0], [1034.0, 495.0], [966.0, 499.0]], ('$1.3', 0.9049201607704163)], [[[965.0, 492.0], [1037.0, 492.0], [1037.0, 522.0], [965.0, 522.0]], ('$1.03', 0.8352717161178589)], [[[685.0, 502.0], [753.0, 502.0], [753.0, 525.0], [685.0, 525.0]], ('Tetal', 0.8823034167289734)], [[[683.0, 522.0], [790.0, 522.0], [790.0, 545.0], [683.0, 545.0]], ('Cash Tnd', 0.9204949140548706)], [[[955.0, 516.0], [1039.0, 511.0], [1040.0, 540.0], [956.0, 544.0]], ('$10.0', 0.8891380429267883)], [[[685.0, 543.0], [766.0, 549.0], [764.0, 574.0], [683.0, 568.0]], ('Change', 0.9666798114776611)], [[[969.0, 541.0], [1037.0, 535.0], [1039.0, 559.0], [972.0, 566.0]], ('$8.57', 0.9069252014160156)], [[[593.0, 590.0], [1078.0, 580.0], [1079.0, 608.0], [594.0, 619.0]], ('THANK YCU FOR SHOING AT STOP &SHOP.', 0.8913367986679077)], [[[590.0, 612.0], [1023.0, 605.0], [1023.0, 633.0], [590.0, 640.0]], ("WE'VE ENJOVED SERVING YOU AND WE", 0.8211444616317749)], [[[590.0, 635.0], [1013.0, 628.0], [1013.0, 657.0], [590.0, 664.0]], ('LOOK FORWARD TO SERING ALL YOUF', 0.8958632946014404)], [[[590.0, 660.0], [887.0, 658.0], [887.0, 682.0], [590.0, 684.0]], ('FUTURE SHOPPING NEEIS.', 0.9323558807373047)], [[[586.0, 734.0], [953.0, 727.0], [954.0, 755.0], [587.0, 762.0]], ('STEVE FARLEYSTORE MANAGER', 0.941796064376831)], [[[586.0, 785.0], [1021.0, 777.0], [1022.0, 805.0], [587.0, 814.0]], ('STOP&SHP#O89', 0.8902894854545593)], [[[586.0, 869.0], [1075.0, 857.0], [1075.0, 885.0], [587.0, 897.0]], ('EARI GAS REWARDS PIS FOR QUALIFYING', 0.8955876231193542)], [[[586.0, 895.0], [1066.0, 883.0], [1067.0, 913.0], [587.0, 926.0]], ('PURCHASES.PTS EXPIFE 3DAYS FROM', 0.8906115293502808)], [[[586.0, 927.0], [1119.0, 912.0], [1120.0, 940.0], [587.0, 956.0]], ('DATE EAFNED.DATE F PRCHASE IS DAY 1', 0.8628631234169006)], [[[585.0, 954.0], [1098.0, 938.0], [1099.0, 972.0], [586.0, 987.0]], ('PTS. ARE SHARED AMNG YOUR HOUSEHOLD', 0.8211717009544373)], [[[586.0, 984.0], [1034.0, 970.0], [1035.0, 1003.0], [587.0, 1017.0]], ('SEE STOFANSHOP.CO FOR DETAILS', 0.9059683084487915)]]	{"store_name": "Stop&Shop STOP&SHOP#089", "store_addr": "", "telephone": "779-9116", "date": "7/18/12", "time": "1:21pm", "subtotal": "$1.43", "tax": "", "total": "$1.43", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "APPLEREDDEL", "item_value": "0.88", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANAS", "item_value": "0.35", "item_quantity": "1"}, {"item_key": "PRODUCE", "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	[[[[265.0, 70.0], [385.0, 63.0], [386.0, 86.0], [266.0, 93.0]], ('SUPREME', 0.99704509973526)], [[[276.0, 97.0], [373.0, 92.0], [374.0, 110.0], [277.0, 115.0]], ('2 Peter Street', 0.9439584612846375)], [[[284.0, 119.0], [365.0, 114.0], [367.0, 131.0], [285.0, 136.0]], ('London UK', 0.9570519924163818)], [[[290.0, 140.0], [360.0, 135.0], [362.0, 154.0], [291.0, 159.0]], ('W1FOAA', 0.8396694660186768)], [[[270.0, 163.0], [378.0, 157.0], [379.0, 175.0], [271.0, 181.0]], ('02074370493', 0.9949911236763)], [[[116.0, 191.0], [242.0, 193.0], [242.0, 211.0], [115.0, 209.0]], ('Date:09/03/2017', 0.9707522988319397)], [[[327.0, 189.0], [401.0, 186.0], [402.0, 204.0], [328.0, 207.0]], ('Receipt#:', 0.9797074794769287)], [[[415.0, 184.0], [476.0, 180.0], [477.0, 198.0], [416.0, 203.0]], ('214860', 0.99835205078125)], [[[356.0, 209.0], [399.0, 209.0], [399.0, 227.0], [356.0, 227.0]], ('Store:', 0.9655349850654602)], [[[435.0, 204.0], [479.0, 201.0], [480.0, 220.0], [436.0, 223.0]], ('001A', 0.9970477819442749)], [[[116.0, 221.0], [228.0, 223.0], [228.0, 241.0], [115.0, 239.0]], ('Time:13:31:06', 0.8962255716323853)], [[[338.0, 231.0], [399.0, 229.0], [400.0, 247.0], [339.0, 249.0]], ('Cashier.', 0.9635199308395386)], [[[441.0, 224.0], [479.0, 222.0], [480.0, 241.0], [442.0, 243.0]], ('JinS', 0.9837745428085327)], [[[150.0, 311.0], [195.0, 311.0], [195.0, 326.0], [150.0, 326.0]], ('ITEM#', 0.99811851978302)], [[[264.0, 310.0], [296.0, 312.0], [294.0, 331.0], [262.0, 328.0]], ('QTY', 0.9093278050422668)], [[[425.0, 308.0], [474.0, 306.0], [475.0, 325.0], [426.0, 327.0]], ('PRICE', 0.9975700378417969)], [[[144.0, 338.0], [191.0, 338.0], [191.0, 353.0], [144.0, 353.0]], ('41637', 0.9989487528800964)], [[[273.0, 342.0], [282.0, 342.0], [282.0, 353.0], [273.0, 353.0]], ('1', 0.9680235981941223)], [[[421.0, 340.0], [477.0, 340.0], [477.0, 358.0], [421.0, 358.0]], ('128.00', 0.9968333840370178)], [[[112.0, 354.0], [174.0, 354.0], [174.0, 371.0], [112.0, 371.0]], ('SS17J67', 0.9985228180885315)], [[[248.0, 355.0], [332.0, 358.0], [331.0, 375.0], [247.0, 372.0]], ('BLACKMED', 0.996614933013916)], [[[109.0, 372.0], [280.0, 374.0], [280.0, 391.0], [108.0, 389.0]], ('DIGI COACHES JACKET', 0.9643542766571045)], [[[140.0, 393.0], [189.0, 393.0], [189.0, 411.0], [140.0, 411.0]], ('41797', 0.9989584684371948)], [[[271.0, 394.0], [285.0, 397.0], [282.0, 413.0], [268.0, 410.0]], ('1', 0.9916640520095825)], [[[422.0, 399.0], [478.0, 399.0], [478.0, 417.0], [422.0, 417.0]], ('148.00', 0.9974894523620605)], [[[109.0, 413.0], [188.0, 413.0], [188.0, 427.0], [109.0, 427.0]], ('SS17SW13', 0.9884470105171204)], [[[247.0, 412.0], [331.0, 414.0], [330.0, 431.0], [247.0, 429.0]], ('BLACKMED', 0.9965506196022034)], [[[106.0, 430.0], [285.0, 432.0], [285.0, 449.0], [106.0, 447.0]], ('SLEEVE PA TCH HOODEI', 0.9124261736869812)], [[[137.0, 450.0], [187.0, 452.0], [186.0, 470.0], [136.0, 468.0]], ('43481', 0.9980276226997375)], [[[269.0, 454.0], [282.0, 454.0], [282.0, 470.0], [269.0, 470.0]], ('1', 0.9931806325912476)], [[[433.0, 458.0], [479.0, 458.0], [479.0, 476.0], [433.0, 476.0]], ('49.00', 0.9969819784164429)], [[[104.0, 470.0], [183.0, 470.0], [183.0, 487.0], [104.0, 487.0]], ('SS17KN40', 0.9954692125320435)], [[[247.0, 473.0], [331.0, 473.0], [331.0, 487.0], [247.0, 487.0]], ('WHITEMED', 0.996709942817688)], [[[103.0, 488.0], [224.0, 489.0], [224.0, 506.0], [103.0, 505.0]], ('SMALL BOX TEE', 0.9181118011474609)], [[[134.0, 512.0], [186.0, 512.0], [186.0, 530.0], [134.0, 530.0]], ('44294', 0.9981829524040222)], [[[268.0, 514.0], [281.0, 514.0], [281.0, 530.0], [268.0, 530.0]], ('1', 0.994599461555481)], [[[424.0, 514.0], [479.0, 516.0], [478.0, 537.0], [423.0, 535.0]], ('148.00', 0.9968941807746887)], [[[101.0, 531.0], [177.0, 531.0], [177.0, 548.0], [101.0, 548.0]], ('SS17SW4', 0.989181399345398)], [[[244.0, 531.0], [331.0, 533.0], [330.0, 550.0], [244.0, 548.0]], ('ASH GIMED', 0.9344664812088013)], [[[101.0, 552.0], [282.0, 552.0], [282.0, 566.0], [101.0, 566.0]], ('SUPREMEECHAMPION', 0.9700459837913513)], [[[130.0, 574.0], [183.0, 574.0], [183.0, 592.0], [130.0, 592.0]], ('41849', 0.9982144236564636)], [[[267.0, 574.0], [280.0, 574.0], [280.0, 591.0], [267.0, 591.0]], ('1', 0.9925058484077454)], [[[424.0, 577.0], [482.0, 577.0], [482.0, 598.0], [424.0, 598.0]], ('148.00', 0.9969958662986755)], [[[97.0, 591.0], [182.0, 593.0], [181.0, 610.0], [97.0, 608.0]], ('SS17SW16', 0.9890871047973633)], [[[243.0, 593.0], [330.0, 593.0], [330.0, 610.0], [243.0, 610.0]], ('HTH GIMED', 0.927001953125)], [[[96.0, 612.0], [279.0, 613.0], [279.0, 630.0], [96.0, 629.0]], ('VERTICAL LOGO PANEL', 0.9576067924499512)], [[[180.0, 637.0], [254.0, 640.0], [253.0, 659.0], [179.0, 656.0]], ('5 Unit(s)', 0.8876841068267822)], [[[293.0, 640.0], [360.0, 640.0], [360.0, 658.0], [293.0, 658.0]], ('Subtotal', 0.9942905306816101)], [[[425.0, 640.0], [485.0, 640.0], [485.0, 661.0], [425.0, 661.0]], ('621.00', 0.9956671595573425)], [[[239.0, 666.0], [365.0, 668.0], [365.0, 688.0], [239.0, 686.0]], ('20.000%VAT', 0.9844663739204407)], [[[427.0, 669.0], [484.0, 669.0], [484.0, 690.0], [427.0, 690.0]], ('103.51', 0.9897841811180115)], [[[216.0, 696.0], [364.0, 699.0], [364.0, 719.0], [216.0, 716.0]], ('RECEIPT TOTAL:', 0.9613524675369263)], [[[426.0, 699.0], [486.0, 699.0], [486.0, 720.0], [426.0, 720.0]], ('621.00', 0.9956741333007812)], [[[319.0, 746.0], [369.0, 748.0], [368.0, 770.0], [317.0, 768.0]], ('Tend:', 0.9858298301696777)], [[[428.0, 749.0], [488.0, 749.0], [488.0, 770.0], [428.0, 770.0]], ('621.00', 0.9966872334480286)], [[[123.0, 769.0], [237.0, 772.0], [236.0, 793.0], [122.0, 790.0]], ('Cash:190.00', 0.9506564736366272)]]	{"store_name": "SUPREME", "store_addr": "2PeterStreet LondonUK W1F0AA", "telephone": "02074370493", "date": "09/03/2017", "time": "13:31:06", "subtotal": "621.00", "tax": "10351", "total": "621.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DIGICOACHESJACKET", "item_value": "128.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SLEEVEPATCHHOODEI", "item_value": "148.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SMALLBOXTEE", "item_value": "49.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SUPREME\u00ae/CHAMPION\u00ae", "item_value": "148.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VERTCALLOGOPANEL", "item_value": "148.00", "item_quantity": "1"}, {"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	[[[[285.0, 219.0], [569.0, 215.0], [571.0, 308.0], [286.0, 313.0]], ('ROSS', 0.9337241649627686)], [[[290.0, 323.0], [567.0, 319.0], [568.0, 349.0], [291.0, 353.0]], ('DRESSFOR LESS', 0.9528055787086487)], [[[339.0, 362.0], [513.0, 362.0], [513.0, 396.0], [339.0, 396.0]], ('EUREKA,CA', 0.9387833476066589)], [[[256.0, 406.0], [580.0, 406.0], [580.0, 440.0], [256.0, 440.0]], ('Phone:707-443-1036', 0.9708696007728577)], [[[64.0, 531.0], [597.0, 534.0], [597.0, 568.0], [64.0, 565.0]], ('400081353246 HOILDAY P00PER ASS', 0.9395491480827332)], [[[651.0, 535.0], [756.0, 535.0], [756.0, 571.0], [651.0, 571.0]], ('1.99N', 0.983635425567627)], [[[64.0, 576.0], [199.0, 576.0], [199.0, 608.0], [64.0, 608.0]], ('Subtotal', 0.9956337213516235)], [[[646.0, 579.0], [735.0, 579.0], [735.0, 615.0], [646.0, 615.0]], ('$1.99', 0.9977062940597534)], [[[61.0, 617.0], [151.0, 613.0], [153.0, 651.0], [62.0, 654.0]], ('Total', 0.9953908920288086)], [[[646.0, 620.0], [733.0, 620.0], [733.0, 658.0], [646.0, 658.0]], ('$1.99', 0.9972381591796875)], [[[150.0, 659.0], [701.0, 665.0], [700.0, 699.0], [149.0, 692.0]], ('Sold:1 Returned0 Deleted:0', 0.9149816036224365)], [[[60.0, 741.0], [134.0, 741.0], [134.0, 780.0], [60.0, 780.0]], ('Cash', 0.9978702068328857)], [[[643.0, 748.0], [732.0, 745.0], [733.0, 782.0], [644.0, 785.0]], ('$2.00', 0.9936732053756714)], [[[62.0, 784.0], [251.0, 786.0], [250.0, 821.0], [61.0, 819.0]], ('Cash Change', 0.9658586978912354)], [[[643.0, 789.0], [730.0, 789.0], [730.0, 825.0], [643.0, 825.0]], ('$0.01', 0.9967281222343445)], [[[63.0, 825.0], [574.0, 826.0], [574.0, 864.0], [63.0, 862.0]], ('Receipt #0291-03-3569-2343-5', 0.971376359462738)], [[[62.0, 865.0], [610.0, 869.0], [610.0, 906.0], [61.0, 902.0]], ('Tender Detai1#:1-01-5-01-000199', 0.9664478302001953)], [[[169.0, 991.0], [658.0, 993.0], [658.0, 1026.0], [169.0, 1025.0]], ('Receipt # 0291-03-3569-2343-5', 0.9560907483100891)], [[[290.0, 1150.0], [554.0, 1153.0], [553.0, 1188.0], [290.0, 1185.0]], ('1-01-5-01-000199', 0.9917153716087341)]]	{"store_name": "ROSS", "store_addr": "EUREKA,CA", "telephone": "707-443-1036", "date": "", "time": "", "subtotal": "$1.99", "tax": "", "total": "$1.99", "ignore": "", "tips": "", "line_items": [{"item_key": "400081353246HOILDAYPOOPERASS", "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	[[[[227.0, 157.0], [469.0, 153.0], [470.0, 231.0], [228.0, 235.0]], ('ROSS', 0.9383114576339722)], [[[232.0, 243.0], [467.0, 239.0], [468.0, 267.0], [232.0, 271.0]], ('DRESSFOR LESS', 0.946132242679596)], [[[260.0, 277.0], [436.0, 275.0], [437.0, 305.0], [261.0, 307.0]], ('TAMUNING,GU', 0.9486366510391235)], [[[203.0, 315.0], [477.0, 311.0], [477.0, 341.0], [204.0, 345.0]], ('Phone:671-647-7677', 0.978988766670227)], [[[47.0, 420.0], [476.0, 420.0], [476.0, 445.0], [47.0, 445.0]], ('400111378515.PE CHARC0AL SMALL', 0.942072868347168)], [[[518.0, 417.0], [628.0, 414.0], [629.0, 445.0], [519.0, 448.0]], ('24.99R', 0.9926783442497253)], [[[44.0, 455.0], [493.0, 455.0], [493.0, 484.0], [44.0, 484.0]], ('400110228446 X CK OPP GREY S0LI', 0.8971475958824158)], [[[517.0, 453.0], [628.0, 453.0], [628.0, 483.0], [517.0, 483.0]], ('29.99R', 0.9927255511283875)], [[[43.0, 489.0], [482.0, 490.0], [482.0, 519.0], [43.0, 517.0]], ('400102111190DK BL 508 TWILL-', 0.9341312050819397)], [[[518.0, 489.0], [627.0, 489.0], [627.0, 519.0], [518.0, 519.0]], ('22.99R', 0.9939212799072266)], [[[41.0, 522.0], [162.0, 525.0], [161.0, 556.0], [40.0, 553.0]], ('Subtotal', 0.9947777986526489)], [[[518.0, 524.0], [611.0, 524.0], [611.0, 555.0], [518.0, 555.0]], ('$77.97', 0.924820601940155)], [[[44.0, 560.0], [122.0, 560.0], [122.0, 592.0], [44.0, 592.0]], ('Total', 0.9912522435188293)], [[[519.0, 561.0], [609.0, 561.0], [609.0, 588.0], [519.0, 588.0]], ('$77.97', 0.9974165558815002)], [[[121.0, 596.0], [578.0, 593.0], [579.0, 623.0], [121.0, 626.0]], ('Sold:3 Returned:0 Deleted:0', 0.9150241017341614)], [[[47.0, 663.0], [112.0, 663.0], [112.0, 696.0], [47.0, 696.0]], ('Cash', 0.997429370880127)], [[[504.0, 664.0], [609.0, 661.0], [610.0, 693.0], [505.0, 696.0]], ('$100.00', 0.9799870848655701)], [[[48.0, 698.0], [210.0, 700.0], [209.0, 731.0], [48.0, 729.0]], ('Cash Change', 0.9653530716896057)], [[[519.0, 698.0], [609.0, 698.0], [609.0, 729.0], [519.0, 729.0]], ('$22.03', 0.9962661266326904)], [[[50.0, 735.0], [476.0, 730.0], [476.0, 759.0], [51.0, 764.0]], ('Rece1pt #0497-07-3453-4258-1', 0.9592953324317932)], [[[52.0, 770.0], [504.0, 764.0], [505.0, 792.0], [52.0, 799.0]], ('Tencler Detai1#:1-01-0-01-007797', 0.9442480802536011)], [[[137.0, 867.0], [546.0, 862.0], [547.0, 899.0], [137.0, 904.0]], ('Receipt # 0497-07-3453-4258-1', 0.9661880731582642)], [[[240.0, 999.0], [463.0, 1003.0], [462.0, 1037.0], [239.0, 1033.0]], ('1-01-0-01-007797', 0.9913204908370972)], [[[291.0, 1136.0], [395.0, 1141.0], [394.0, 1176.0], [289.0, 1171.0]], ('Reg:07', 0.9412885308265686)], [[[49.0, 1151.0], [210.0, 1141.0], [211.0, 1172.0], [51.0, 1182.0]], ('Store:0497', 0.9706963300704956)], [[[504.0, 1152.0], [650.0, 1149.0], [650.0, 1179.0], [505.0, 1182.0]], ('Tran:3453', 0.9690892696380615)], [[[350.0, 1179.0], [414.0, 1179.0], [414.0, 1193.0], [350.0, 1193.0]], ('11.00', 0.8359368443489075)]]	{"store_name": "ROSS", "store_addr": "TAMUNING,GU", "telephone": "671-647-7677", "date": "", "time": "", "subtotal": "$77.97", "tax": "", "total": "$77.97", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "400111378515PECHARCOALSMALL", "item_value": "24.99", "item_quantity": "1"}, {"item_key": "", "item_name": "400110228446XCKOPPGREYSOLI", "item_value": "29.99", "item_quantity": "1"}, {"item_key": "", "item_name": "400102111190DKBL508TWILL-", "item_value": "22.99", "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	[[[[797.0, 347.0], [1168.0, 339.0], [1171.0, 462.0], [800.0, 470.0]], ('ROSS', 0.8905729055404663)], [[[812.0, 469.0], [1164.0, 469.0], [1164.0, 517.0], [812.0, 517.0]], ('DRESS FOR LESS', 0.9204126000404358)], [[[805.0, 524.0], [1143.0, 524.0], [1143.0, 571.0], [805.0, 571.0]], ('SANTA CLARACA', 0.9779824018478394)], [[[757.0, 575.0], [1180.0, 571.0], [1181.0, 629.0], [758.0, 633.0]], ('Phone:408-248-9440', 0.9779177904129028)], [[[528.0, 745.0], [1208.0, 745.0], [1208.0, 792.0], [528.0, 792.0]], ('400108003222 US ARMY ONE KN0T R', 0.9291483759880066)], [[[1258.0, 745.0], [1404.0, 745.0], [1404.0, 792.0], [1258.0, 792.0]], ('2.99R', 0.9919939041137695)], [[[524.0, 802.0], [1207.0, 799.0], [1208.0, 847.0], [524.0, 850.0]], ('400108116809 BTS C0TT0N FL00R 2', 0.9068657755851746)], [[[1258.0, 799.0], [1404.0, 799.0], [1404.0, 847.0], [1258.0, 847.0]], ('8.99R', 0.9780911207199097)], [[[524.0, 857.0], [700.0, 857.0], [700.0, 904.0], [524.0, 904.0]], ('Subtotal', 0.9959887862205505)], [[[1241.0, 853.0], [1383.0, 853.0], [1383.0, 904.0], [1241.0, 904.0]], ('$11.98', 0.9941828846931458)], [[[1251.0, 896.0], [1385.0, 906.0], [1381.0, 967.0], [1247.0, 958.0]], ('$1.05', 0.9924389123916626)], [[[514.0, 908.0], [872.0, 901.0], [873.0, 958.0], [515.0, 966.0]], ('Sales Tax 8.750%', 0.9449223279953003)], [[[521.0, 962.0], [632.0, 962.0], [632.0, 1013.0], [521.0, 1013.0]], ('Total', 0.9887758493423462)], [[[1235.0, 959.0], [1380.0, 959.0], [1380.0, 1020.0], [1235.0, 1020.0]], ('$13.03', 0.9939472079277039)], [[[629.0, 1020.0], [1336.0, 1020.0], [1336.0, 1068.0], [629.0, 1068.0]], ('So1d:2 Returned:0 Deleted:0', 0.9148138761520386)], [[[521.0, 1122.0], [616.0, 1122.0], [616.0, 1176.0], [521.0, 1176.0]], ('Cash', 0.997443437576294)], [[[1231.0, 1122.0], [1377.0, 1122.0], [1377.0, 1183.0], [1231.0, 1183.0]], ('$15.00', 0.9964272379875183)], [[[519.0, 1169.0], [765.0, 1177.0], [763.0, 1235.0], [517.0, 1227.0]], ('Cash Change', 0.9502654671669006)], [[[1251.0, 1176.0], [1377.0, 1176.0], [1377.0, 1238.0], [1251.0, 1238.0]], ('$1.97', 0.9953441619873047)], [[[524.0, 1234.0], [1177.0, 1234.0], [1177.0, 1282.0], [524.0, 1282.0]], ('Receipt #:0237-02-5193-4244-9', 0.9382250308990479)], [[[524.0, 1285.0], [1214.0, 1289.0], [1214.0, 1336.0], [524.0, 1333.0]], ('Tender Deta11#:1-01-1-01-001303', 0.9517269730567932)], [[[650.0, 1441.0], [1279.0, 1449.0], [1278.0, 1496.0], [649.0, 1489.0]], ('Receipt # 0237-02-5193-4244-9', 0.9624708890914917)], [[[805.0, 1659.0], [1147.0, 1659.0], [1147.0, 1707.0], [805.0, 1707.0]], ('1-01-1-01-001303', 0.9907002449035645)], [[[528.0, 1867.0], [775.0, 1867.0], [775.0, 1914.0], [528.0, 1914.0]], ('Store:0237', 0.960239589214325)], [[[876.0, 1870.0], [1038.0, 1870.0], [1038.0, 1918.0], [876.0, 1918.0]], ('Reg:02', 0.9405567049980164)], [[[1204.0, 1870.0], [1431.0, 1870.0], [1431.0, 1928.0], [1204.0, 1928.0]], ('Tran:5193', 0.9633508324623108)], [[[521.0, 1910.0], [1150.0, 1921.0], [1149.0, 1979.0], [520.0, 1968.0]], ('Date:09/01/14 Time:0127', 0.9590322375297546)], [[[1127.0, 1917.0], [1431.0, 1925.0], [1430.0, 1983.0], [1126.0, 1975.0]], ('Assoc:109732', 0.9525321125984192)], [[[630.0, 1968.0], [1289.0, 1979.0], [1288.0, 2030.0], [629.0, 2019.0]], ('Thank you for shopping at Ross', 0.9708849191665649)], [[[758.0, 2033.0], [1177.0, 2033.0], [1177.0, 2077.0], [758.0, 2077.0]], ('www.rossstores.com', 0.9659099578857422)], [[[532.0, 2067.0], [1424.0, 2081.0], [1423.0, 2139.0], [531.0, 2125.0]], ('******************************************', 0.9905986785888672)], [[[745.0, 2128.0], [1191.0, 2135.0], [1190.0, 2183.0], [744.0, 2176.0]], ('Like us on Facebook!', 0.93993079662323)], [[[633.0, 2179.0], [1340.0, 2186.0], [1339.0, 2244.0], [632.0, 2237.0]], ('www.facebook.com/RossDressforLess', 0.9907354712486267)], [[[697.0, 2285.0], [1292.0, 2292.0], [1292.0, 2353.0], [696.0, 2346.0]], ('ROSS STORES is', 0.9382256865501404)], [[[615.0, 2397.0], [1370.0, 2393.0], [1370.0, 2465.0], [616.0, 2469.0]], ('giving away $100o!', 0.9014076590538025)]]	{"store_name": "ROSS", "store_addr": "SANTACLARA,CA", "telephone": "408-248-9440", "date": "09/01/14", "time": "01:27", "subtotal": "$11.98", "tax": "$1.05", "total": "$13.03", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "400108003222USARMYONEKNOTR", "item_value": "2.99R", "item_quantity": "1"}, {"item_key": "", "item_name": "400108116809BTSCOTTONFLOOR2", "item_value": "8.99R", "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	[[[[76.0, 35.0], [146.0, 33.0], [146.0, 59.0], [77.0, 61.0]], ('ROSS', 0.8802415132522583)], [[[78.0, 68.0], [145.0, 68.0], [145.0, 79.0], [78.0, 79.0]], ('SPRINGFIELD.IL', 0.9141812920570374)], [[[68.0, 77.0], [151.0, 77.0], [151.0, 90.0], [68.0, 90.0]], ('Phone217-698-6438', 0.9508097171783447)], [[[22.0, 103.0], [156.0, 106.0], [155.0, 120.0], [21.0, 117.0]], ('400084751261 re0/n1te f1oerp', 0.817481517791748)], [[[22.0, 112.0], [152.0, 114.0], [152.0, 131.0], [21.0, 129.0]], ('400083084132RINSE 19BK FLAP', 0.8366064429283142)], [[[158.0, 115.0], [192.0, 112.0], [194.0, 127.0], [159.0, 130.0]], ('10.99', 0.969386875629425)], [[[161.0, 106.0], [192.0, 104.0], [192.0, 116.0], [162.0, 118.0]], ('9.99', 0.9583220481872559)], [[[21.0, 124.0], [118.0, 125.0], [118.0, 139.0], [21.0, 138.0]], ('SIH 01626006000', 0.7299783229827881)], [[[160.0, 133.0], [190.0, 135.0], [189.0, 150.0], [159.0, 148.0]], ('823.77', 0.8496313095092773)], [[[162.0, 124.0], [194.0, 124.0], [194.0, 139.0], [162.0, 139.0]], ('2.79 R', 0.8652321696281433)], [[[21.0, 134.0], [64.0, 134.0], [64.0, 148.0], [21.0, 148.0]], ('Subtotal', 0.9051698446273804)], [[[20.0, 144.0], [94.0, 145.0], [94.0, 159.0], [20.0, 158.0]], ('Saes Tax 8.000s', 0.8252791166305542)], [[[22.0, 157.0], [46.0, 157.0], [46.0, 168.0], [22.0, 168.0]], ('Total', 0.8450156450271606)], [[[43.0, 168.0], [182.0, 168.0], [182.0, 178.0], [43.0, 178.0]], ('Sold:3 Returned:0 Delsteo0', 0.7851650714874268)], [[[20.0, 190.0], [94.0, 190.0], [94.0, 200.0], [20.0, 200.0]], ('Sift Card Redeen', 0.8022729158401489)], [[[162.0, 186.0], [192.0, 186.0], [192.0, 200.0], [162.0, 200.0]], ('$25.00', 0.9116294980049133)], [[[26.0, 199.0], [160.0, 196.0], [160.0, 210.0], [26.0, 213.0]], ('Card No.60510938649400X<S0', 0.8421183228492737)], [[[27.0, 210.0], [92.0, 210.0], [92.0, 224.0], [27.0, 224.0]], ('Balance:0.00', 0.8295316100120544)], [[[25.0, 222.0], [102.0, 220.0], [102.0, 233.0], [26.0, 235.0]], ('Auth.No.798201', 0.8692139983177185)], [[[19.0, 247.0], [40.0, 247.0], [40.0, 258.0], [19.0, 258.0]], ('Cash', 0.9012813568115234)], [[[166.0, 239.0], [193.0, 239.0], [193.0, 254.0], [166.0, 254.0]], ('$0.67', 0.8816334009170532)], [[[17.0, 256.0], [154.0, 250.0], [155.0, 264.0], [17.0, 270.0]], ('Reoa1pt1504-04-2012-3080-7', 0.880939245223999)], [[[17.0, 266.0], [207.0, 261.0], [207.0, 278.0], [17.0, 283.0]], ('Tender ata11:1-02-7-15-002500-01-000067', 0.8883021473884583)], [[[18.0, 278.0], [109.0, 276.0], [110.0, 290.0], [18.0, 292.0]], ('Gft Card Redeen 00', 0.8293223977088928)]]	{"store_name": "ROSS", "store_addr": "SPRINGFIELD.IL", "telephone": "217-698-6438", "date": "", "time": "", "subtotal": "$23.77", "tax": "$1.90", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "red/whiteflowerp", "item_value": "9.99R", "item_quantity": "1"}, {"item_key": "", "item_name": "RINSE19BKFLAP", "item_value": "10.99R", "item_quantity": "1"}, {"item_key": "", "item_name": "10WHISK", "item_value": "2.79R", "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	[[[[167.0, 87.0], [339.0, 83.0], [340.0, 137.0], [168.0, 140.0]], ('ROSS', 0.8609462380409241)], [[[172.0, 144.0], [338.0, 140.0], [338.0, 160.0], [172.0, 165.0]], ('DRESS FOR LESS', 0.9231429696083069)], [[[201.0, 167.0], [308.0, 164.0], [308.0, 186.0], [202.0, 188.0]], ('EUREKACA', 0.989353597164154)], [[[150.0, 193.0], [349.0, 189.0], [349.0, 210.0], [151.0, 214.0]], ('Phone:707-443-1036', 0.9745464324951172)], [[[37.0, 260.0], [351.0, 260.0], [351.0, 280.0], [37.0, 280.0]], ('400158649319 #J0RDAN SUPER.FLY', 0.9597599506378174)], [[[383.0, 260.0], [457.0, 260.0], [457.0, 281.0], [383.0, 281.0]], ('49.99R', 0.9882537722587585)], [[[38.0, 284.0], [363.0, 284.0], [363.0, 302.0], [38.0, 302.0]], ('400159471674 #R0CKLIN CANVAS DE', 0.9525176286697388)], [[[383.0, 284.0], [459.0, 284.0], [459.0, 306.0], [383.0, 306.0]], ('19.99R', 0.9908370971679688)], [[[35.0, 304.0], [365.0, 307.0], [365.0, 327.0], [34.0, 324.0]], ('400154607375 #UA CLUTCHFIT DRIV', 0.9501727223396301)], [[[382.0, 309.0], [460.0, 309.0], [460.0, 330.0], [382.0, 330.0]], ('27.99R', 0.9839411377906799)], [[[35.0, 326.0], [323.0, 331.0], [322.0, 353.0], [34.0, 347.0]], ('400168560758 8.5oz Dark Bag', 0.9369873404502869)], [[[394.0, 333.0], [461.0, 333.0], [461.0, 354.0], [394.0, 354.0]], ('4.99N', 0.987795352935791)], [[[33.0, 350.0], [119.0, 353.0], [119.0, 374.0], [32.0, 372.0]], ('Subtotal', 0.9863224029541016)], [[[375.0, 358.0], [450.0, 358.0], [450.0, 379.0], [375.0, 379.0]], ('$102.96', 0.9306262731552124)], [[[31.0, 375.0], [208.0, 379.0], [207.0, 403.0], [30.0, 399.0]], ('Sales Tax 8.500%', 0.9589203596115112)], [[[394.0, 382.0], [452.0, 382.0], [452.0, 407.0], [394.0, 407.0]], ('$8.33', 0.9918723106384277)], [[[32.0, 402.0], [88.0, 402.0], [88.0, 425.0], [32.0, 425.0]], ('Total', 0.9962179064750671)], [[[374.0, 406.0], [452.0, 406.0], [452.0, 431.0], [374.0, 431.0]], ('$111.29', 0.9919725656509399)], [[[86.0, 429.0], [433.0, 432.0], [433.0, 456.0], [85.0, 453.0]], ('Sold:4 Returned:0 Deleted:0', 0.9005593657493591)], [[[29.0, 479.0], [87.0, 482.0], [86.0, 505.0], [28.0, 502.0]], ('Debit', 0.9979777336120605)], [[[374.0, 483.0], [455.0, 480.0], [456.0, 506.0], [375.0, 508.0]], ('$111.29', 0.9929227232933044)], [[[52.0, 508.0], [224.0, 508.0], [224.0, 528.0], [52.0, 528.0]], ('Card NoXxxxxX', 0.8298503160476685)], [[[51.0, 559.0], [150.0, 559.0], [150.0, 580.0], [51.0, 580.0]], ('Auth.No.', 0.9810529947280884)], [[[203.0, 610.0], [316.0, 607.0], [317.0, 632.0], [204.0, 634.0]], ('Cardholder', 0.9579159021377563)], [[[92.0, 637.0], [427.0, 636.0], [427.0, 660.0], [92.0, 661.0]], ('Please Retain for Your Records', 0.9585648775100708)], [[[26.0, 695.0], [362.0, 692.0], [362.0, 712.0], [26.0, 715.0]], ('Receipt #0291-05-7575-7328-6', 0.9712673425674438)], [[[24.0, 721.0], [384.0, 719.0], [385.0, 740.0], [24.0, 742.0]], ('Tender Deta11#:1-01-4-18-011129', 0.9430432319641113)], [[[20.0, 747.0], [115.0, 747.0], [115.0, 772.0], [20.0, 772.0]], ('Debit 00', 0.9560585021972656)]]	{"store_name": "ROSS", "store_addr": "EUREKA,CA", "telephone": "707-443-1036", "date": "", "time": "", "subtotal": "$102.96", "tax": "$8.33", "total": "$111.29 $111.29", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "#JORDANSUPER.FLY", "item_value": "49.99R", "item_quantity": "1"}, {"item_key": "", "item_name": "#ROCKLINCANVASDE", "item_value": "19.99R", "item_quantity": "1"}, {"item_key": "", "item_name": "#UACLUTCHFITDRIV", "item_value": "27.99R", "item_quantity": "1"}, {"item_key": "", "item_name": "8.5ozDarkBag", "item_value": "4.99N", "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	[[[[203.0, 139.0], [419.0, 135.0], [421.0, 207.0], [204.0, 211.0]], ('ROSS', 0.923170804977417)], [[[208.0, 217.0], [417.0, 213.0], [417.0, 239.0], [209.0, 243.0]], ('DRESS FOR LESS', 0.914299488067627)], [[[234.0, 247.0], [390.0, 247.0], [390.0, 274.0], [234.0, 274.0]], ('TAMUNING,GU', 0.9402078986167908)], [[[182.0, 282.0], [427.0, 278.0], [427.0, 305.0], [182.0, 308.0]], ('Phone:671-647-7677', 0.9804137349128723)], [[[42.0, 377.0], [427.0, 377.0], [427.0, 399.0], [42.0, 399.0]], ('400111378515PE CHARC0AL SMALL', 0.9481343626976013)], [[[463.0, 373.0], [562.0, 370.0], [563.0, 398.0], [464.0, 401.0]], ('24.99R', 0.9921391010284424)], [[[40.0, 407.0], [442.0, 407.0], [442.0, 433.0], [40.0, 433.0]], ('400110228446 X CK 0PP GREYS0LI', 0.9170948266983032)], [[[462.0, 405.0], [561.0, 405.0], [561.0, 432.0], [462.0, 432.0]], ('29.99R', 0.9920611381530762)], [[[446.0, 415.0], [460.0, 415.0], [460.0, 424.0], [446.0, 424.0]], ('-', 0.6132605671882629)], [[[39.0, 438.0], [432.0, 439.0], [432.0, 463.0], [39.0, 462.0]], ('400102111190DKBL508 TWILL', 0.967726469039917)], [[[463.0, 437.0], [560.0, 437.0], [560.0, 464.0], [463.0, 464.0]], ('22.99R', 0.9932864308357239)], [[[37.0, 469.0], [144.0, 469.0], [144.0, 497.0], [37.0, 497.0]], ('Subtotal', 0.9911569356918335)], [[[463.0, 468.0], [546.0, 468.0], [546.0, 496.0], [463.0, 496.0]], ('$77.97', 0.9176523089408875)], [[[40.0, 501.0], [109.0, 501.0], [109.0, 530.0], [40.0, 530.0]], ('Total', 0.984666645526886)], [[[463.0, 500.0], [545.0, 500.0], [545.0, 527.0], [463.0, 527.0]], ('$77.97', 0.9969752430915833)], [[[108.0, 533.0], [517.0, 531.0], [517.0, 557.0], [108.0, 560.0]], ('So1d:3 Returned:0 Deleted:0', 0.9019581079483032)], [[[42.0, 593.0], [99.0, 593.0], [99.0, 623.0], [42.0, 623.0]], ('Cash', 0.9977957010269165)], [[[452.0, 593.0], [545.0, 593.0], [545.0, 621.0], [452.0, 621.0]], ('$100.00', 0.9961500763893127)], [[[43.0, 624.0], [188.0, 626.0], [187.0, 654.0], [43.0, 652.0]], ('Cash Change', 0.9679906964302063)], [[[464.0, 624.0], [545.0, 624.0], [545.0, 652.0], [464.0, 652.0]], ('$22.03', 0.9975207448005676)], [[[45.0, 658.0], [427.0, 652.0], [427.0, 677.0], [45.0, 683.0]], ('Receipt #0497-07-3453-4258-1', 0.9601954817771912)], [[[46.0, 689.0], [451.0, 683.0], [451.0, 710.0], [47.0, 715.0]], ('Tencer Detai1#:1-01-0-01-007797', 0.9493571519851685)], [[[121.0, 776.0], [489.0, 771.0], [490.0, 804.0], [122.0, 809.0]], ('Receipt # 0497-07-3453-4258-1', 0.9650730490684509)], [[[214.0, 893.0], [414.0, 897.0], [413.0, 928.0], [214.0, 924.0]], ('1-01-0-01-007797', 0.9921013116836548)], [[[259.0, 1016.0], [354.0, 1021.0], [353.0, 1052.0], [258.0, 1048.0]], ('Reg:07', 0.9336736798286438)], [[[43.0, 1027.0], [189.0, 1020.0], [190.0, 1050.0], [44.0, 1057.0]], ('Store:0497', 0.9669089317321777)], [[[451.0, 1029.0], [581.0, 1027.0], [581.0, 1054.0], [451.0, 1057.0]], ('Tran:3453', 0.9620078206062317)], [[[147.0, 1049.0], [300.0, 1049.0], [300.0, 1067.0], [147.0, 1067.0]], ('15/14Time', 0.8046433329582214)], [[[313.0, 1055.0], [372.0, 1055.0], [372.0, 1067.0], [313.0, 1067.0]], ('11.00', 0.8582146763801575)]]	{"store_name": "ROSS", "store_addr": "TAMUNING,GU", "telephone": "671-647-7677", "date": "", "time": "", "subtotal": "$77.97", "tax": "", "total": "$77.97", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PECHARCOALSMALL", "item_value": "24.99", "item_quantity": "1"}, {"item_key": "", "item_name": "XCKOPPGREYSOLI", "item_value": "29.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DKBL508TWILL-", "item_value": "22.99", "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	[[[[121.0, 1.0], [188.0, 1.0], [188.0, 22.0], [121.0, 22.0]], ('ZOSS', 0.6964522004127502)], [[[120.0, 17.0], [188.0, 20.0], [187.0, 33.0], [119.0, 30.0]], ('DRESS PORLESS', 0.9143128991127014)], [[[123.0, 26.0], [178.0, 30.0], [177.0, 44.0], [122.0, 40.0]], ('LA MESA.CA', 0.8300572633743286)], [[[109.0, 36.0], [192.0, 40.0], [191.0, 53.0], [109.0, 49.0]], ('Phone619-898-9222', 0.9218075275421143)], [[[59.0, 82.0], [195.0, 87.0], [194.0, 101.0], [58.0, 96.0]], ('400128934674FLUTE SATIN PEDEST', 0.9486281275749207)], [[[58.0, 92.0], [193.0, 97.0], [192.0, 112.0], [57.0, 107.0]], ('400132247166 NAT 6PK BLACX CON', 0.8545339107513428)], [[[201.0, 97.0], [234.0, 97.0], [234.0, 112.0], [201.0, 112.0]], ('1.99R', 0.8954369425773621)], [[[57.0, 123.0], [95.0, 127.0], [94.0, 139.0], [56.0, 135.0]], ('Subtotal', 0.9910874366760254)], [[[197.0, 120.0], [230.0, 117.0], [231.0, 132.0], [199.0, 135.0]], ('$87.94', 0.9147526621818542)], [[[53.0, 134.0], [129.0, 131.0], [130.0, 148.0], [54.0, 150.0]], ('Sales Tax 8.75x', 0.8047593832015991)], [[[56.0, 145.0], [81.0, 145.0], [81.0, 156.0], [56.0, 156.0]], ('Total', 0.9924746751785278)], [[[199.0, 140.0], [230.0, 140.0], [230.0, 154.0], [199.0, 154.0]], ('9568', 0.6302788257598877)], [[[75.0, 154.0], [222.0, 150.0], [223.0, 165.0], [75.0, 169.0]], ('Sold6 Returned:0 Deleted:0', 0.8857790231704712)], [[[53.0, 176.0], [76.0, 176.0], [76.0, 187.0], [53.0, 187.0]], ('Cash', 0.9934419393539429)], [[[194.0, 174.0], [230.0, 172.0], [231.0, 183.0], [194.0, 185.0]], ('$106.63', 0.9930515289306641)], [[[53.0, 185.0], [109.0, 187.0], [108.0, 201.0], [52.0, 199.0]], ('Cash Change', 0.910848081111908)], [[[199.0, 183.0], [230.0, 183.0], [230.0, 194.0], [199.0, 194.0]], ('$11.00', 0.9897809624671936)], [[[52.0, 196.0], [192.0, 193.0], [192.0, 209.0], [53.0, 212.0]], ('Rece1pt 0076-02-8075-5296-7', 0.9331651329994202)], [[[53.0, 209.0], [199.0, 203.0], [200.0, 217.0], [54.0, 223.0]], ('Tender Deta11-01-301-009563', 0.9190079569816589)], [[[77.0, 236.0], [216.0, 234.0], [217.0, 251.0], [77.0, 253.0]], ('Rece1pt 0078-02-9075-5296-7', 0.8861303925514221)], [[[110.0, 283.0], [190.0, 283.0], [190.0, 296.0], [110.0, 296.0]], ('1-01-3-01-009563', 0.9864585399627686)], [[[43.0, 332.0], [102.0, 332.0], [102.0, 346.0], [43.0, 346.0]], ('Store:0076', 0.935616672039032)], [[[125.0, 333.0], [166.0, 329.0], [167.0, 344.0], [126.0, 347.0]], ('Reg:02', 0.9105441570281982)], [[[200.0, 329.0], [254.0, 331.0], [254.0, 345.0], [199.0, 343.0]], ('Tran:9075', 0.9348159432411194)]]	{"store_name": "ROSS", "store_addr": "LAMESA,CA", "telephone": "019-898-9222", "date": "", "time": "", "subtotal": "$87.94", "tax": "$7.69", "total": "$95.63", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Lg1Pc3Drawer/S", "item_value": "14.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GUESSGIRL1.7SPR", "item_value": "16.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FLUTESATINPEDEST", "item_value": "5.69", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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	[[[[113.0, 104.0], [231.0, 107.0], [230.0, 120.0], [113.0, 117.0]], ('7130 Santa Teresa B1vd', 0.9050129055976868)], [[[131.0, 96.0], [212.0, 100.0], [212.0, 111.0], [130.0, 107.0]], ('Sush Boat Town', 0.8976902961730957)], [[[131.0, 115.0], [220.0, 118.0], [220.0, 128.0], [131.0, 125.0]], ('San Jose CA95139', 0.9248532056808472)], [[[137.0, 124.0], [209.0, 127.0], [209.0, 138.0], [136.0, 136.0]], ('408972-0379', 0.9869220852851868)], [[[88.0, 142.0], [127.0, 145.0], [126.0, 159.0], [87.0, 156.0]], ('Table:', 0.9601836204528809)], [[[134.0, 146.0], [151.0, 146.0], [151.0, 158.0], [134.0, 158.0]], ('43', 0.6851413249969482)], [[[177.0, 143.0], [233.0, 147.0], [232.0, 161.0], [176.0, 157.0]], ('Check33', 0.9861623644828796)], [[[87.0, 155.0], [129.0, 159.0], [128.0, 170.0], [86.0, 166.0]], ('Server:', 0.9837965965270996)], [[[157.0, 156.0], [201.0, 159.0], [200.0, 173.0], [156.0, 171.0]], ('Songhee', 0.9956259727478027)], [[[79.0, 180.0], [104.0, 180.0], [104.0, 192.0], [79.0, 192.0]], ('qty', 0.9868564605712891)], [[[110.0, 179.0], [139.0, 179.0], [139.0, 193.0], [110.0, 193.0]], ('item', 0.9609246850013733)], [[[179.0, 179.0], [217.0, 181.0], [216.0, 195.0], [178.0, 193.0]], ('@price', 0.9428389072418213)], [[[81.0, 203.0], [172.0, 204.0], [172.0, 218.0], [81.0, 217.0]], ('1 Red Lady Rol', 0.8840851783752441)], [[[180.0, 205.0], [213.0, 205.0], [213.0, 219.0], [180.0, 219.0]], ('12.95', 0.9937781095504761)], [[[226.0, 206.0], [258.0, 206.0], [258.0, 220.0], [226.0, 220.0]], ('12.95', 0.9965757131576538)], [[[80.0, 216.0], [173.0, 217.0], [173.0, 231.0], [80.0, 230.0]], ('1 Caterpillar R', 0.8825019001960754)], [[[178.0, 218.0], [213.0, 218.0], [213.0, 233.0], [178.0, 233.0]], ('10.95', 0.9904495477676392)], [[[227.0, 219.0], [260.0, 219.0], [260.0, 234.0], [227.0, 234.0]], ('10.95', 0.9924400448799133)], [[[79.0, 230.0], [172.0, 232.0], [172.0, 245.0], [79.0, 243.0]], ('128 Chicken/Te', 0.966156005859375)], [[[184.0, 232.0], [213.0, 232.0], [213.0, 246.0], [184.0, 246.0]], ('8.45', 0.991374135017395)], [[[232.0, 232.0], [261.0, 232.0], [261.0, 247.0], [232.0, 247.0]], ('8.45', 0.9913622736930847)], [[[149.0, 258.0], [201.0, 260.0], [200.0, 275.0], [149.0, 273.0]], ('Subtotal', 0.9935053586959839)], [[[234.0, 259.0], [269.0, 261.0], [268.0, 277.0], [233.0, 274.0]], ('32.35', 0.9956563711166382)], [[[180.0, 274.0], [203.0, 277.0], [201.0, 293.0], [178.0, 290.0]], ('Tex', 0.7182326316833496)], [[[240.0, 276.0], [270.0, 276.0], [270.0, 291.0], [240.0, 291.0]], ('2.83', 0.9865872859954834)], [[[167.0, 304.0], [202.0, 304.0], [202.0, 322.0], [167.0, 322.0]], ('Total', 0.9869692921638489)], [[[236.0, 306.0], [271.0, 306.0], [271.0, 321.0], [236.0, 321.0]], ('35.18', 0.9925236701965332)], [[[60.0, 354.0], [195.0, 354.0], [195.0, 368.0], [60.0, 368.0]], ('Aug 282014 12:50 PM', 0.9177343249320984)], [[[58.0, 383.0], [156.0, 385.0], [155.0, 399.0], [58.0, 397.0]], ('Have a nice Day', 0.9410412907600403)], [[[58.0, 396.0], [174.0, 400.0], [173.0, 415.0], [57.0, 411.0]], ('Please come again!', 0.9121580123901367)]]	{"store_name": "SushiBoatTown", "store_addr": "7130SantaTeresaBlvd. SanJoseCA95139", "telephone": "(408)972-0379", "date": "Aug28,2014", "time": "12:50PM", "subtotal": "32.35", "tax": "2.83", "total": "35.18", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "RedLadyRoll", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CaterpillarR", "item_value": "10.95", "item_quantity": "1"}, {"item_key": "", "item_name": "28Chicken/Te", "item_value": "8.45", "item_quantity": "1"}, {"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	[[[[74.0, 29.0], [229.0, 28.0], [229.0, 41.0], [74.0, 43.0]], ('The Shoppes at Marina Bay Sands', 0.9477080702781677)], [[[92.0, 40.0], [210.0, 37.0], [211.0, 51.0], [92.0, 53.0]], ('2Bayfront Avenue 01-81', 0.9582417011260986)], [[[112.0, 51.0], [198.0, 50.0], [198.0, 64.0], [112.0, 65.0]], ('Singapore 018972', 0.9685173034667969)], [[[78.0, 63.0], [231.0, 61.0], [231.0, 75.0], [78.0, 77.0]], ('Tel6688 7367 Fax:6688 7369', 0.8871963024139404)], [[[92.0, 74.0], [217.0, 73.0], [218.0, 90.0], [92.0, 91.0]], ('GST Reg no:20-1008708-D', 0.929139256477356)], [[[79.0, 102.0], [136.0, 102.0], [136.0, 113.0], [79.0, 113.0]], ('300 Finesse', 0.9577049016952515)], [[[73.0, 125.0], [113.0, 125.0], [113.0, 138.0], [73.0, 138.0]], ('Tb12/1', 0.9585922360420227)], [[[138.0, 123.0], [179.0, 123.0], [179.0, 136.0], [138.0, 136.0]], ('Chk839', 0.9943196773529053)], [[[210.0, 123.0], [239.0, 123.0], [239.0, 136.0], [210.0, 136.0]], ('Gst2', 0.9769019484519958)], [[[121.0, 137.0], [193.0, 137.0], [193.0, 148.0], [121.0, 148.0]], ('22Nov1220:11', 0.8971768021583557)], [[[81.0, 160.0], [175.0, 159.0], [175.0, 173.0], [81.0, 174.0]], ('1 Nauti lus P Noir', 0.8780715465545654)], [[[193.0, 159.0], [226.0, 159.0], [226.0, 173.0], [193.0, 173.0]], ('118.00', 0.9949114322662354)], [[[79.0, 173.0], [179.0, 171.0], [179.0, 184.0], [79.0, 186.0]], ('2Equi1 Sti11760n', 0.8577128648757935)], [[[90.0, 185.0], [134.0, 183.0], [135.0, 197.0], [90.0, 199.0]], ('10.00', 0.9910796880722046)], [[[199.0, 183.0], [229.0, 183.0], [229.0, 197.0], [199.0, 197.0]], ('20.00', 0.9932280778884888)], [[[81.0, 198.0], [176.0, 198.0], [176.0, 211.0], [81.0, 211.0]], ('1 Sate Udang Jawa', 0.9309678673744202)], [[[200.0, 195.0], [230.0, 195.0], [230.0, 210.0], [200.0, 210.0]], ('25.00', 0.9977599382400513)], [[[79.0, 210.0], [181.0, 209.0], [181.0, 222.0], [79.0, 223.0]], ('1 Sate Ayam Madura', 0.944844126701355)], [[[201.0, 208.0], [230.0, 208.0], [230.0, 222.0], [201.0, 222.0]], ('22.00', 0.9944297671318054)], [[[79.0, 223.0], [183.0, 220.0], [183.0, 236.0], [79.0, 238.0]], ('1 Aspargs Smb1 Grg', 0.9233263731002808)], [[[201.0, 220.0], [230.0, 220.0], [230.0, 235.0], [201.0, 235.0]], ('15.00', 0.9965444803237915)], [[[80.0, 236.0], [182.0, 235.0], [182.0, 249.0], [80.0, 250.0]], ('1 Ayam Bakar Kecap', 0.9226853251457214)], [[[201.0, 234.0], [230.0, 234.0], [230.0, 249.0], [201.0, 249.0]], ('2000', 0.7158038020133972)], [[[81.0, 250.0], [166.0, 250.0], [166.0, 264.0], [81.0, 264.0]], ('1 Angus Rendang', 0.9640068411827087)], [[[201.0, 248.0], [231.0, 248.0], [231.0, 263.0], [201.0, 263.0]], ('32.00', 0.9731969833374023)], [[[80.0, 264.0], [194.0, 262.0], [194.0, 276.0], [80.0, 278.0]], ('2 Nasi Kuning 3.00', 0.8995710611343384)], [[[204.0, 262.0], [230.0, 262.0], [230.0, 277.0], [204.0, 277.0]], ('6.00', 0.9945311546325684)], [[[80.0, 277.0], [182.0, 276.0], [182.0, 290.0], [80.0, 291.0]], ('1 Pisang Saleh Ice', 0.9578112363815308)], [[[202.0, 275.0], [231.0, 275.0], [231.0, 290.0], [202.0, 290.0]], ('12.00', 0.9943307042121887)], [[[80.0, 291.0], [155.0, 290.0], [155.0, 303.0], [80.0, 305.0]], ('1 Spicy Choco', 0.9225491881370544)], [[[202.0, 289.0], [231.0, 289.0], [231.0, 304.0], [202.0, 304.0]], ('12.00', 0.9968504905700684)], [[[93.0, 317.0], [139.0, 317.0], [139.0, 331.0], [93.0, 331.0]], ('Subtotal', 0.9941126108169556)], [[[196.0, 315.0], [231.0, 315.0], [231.0, 329.0], [196.0, 329.0]], ('291.00', 0.995497465133667)], [[[94.0, 330.0], [156.0, 330.0], [156.0, 344.0], [94.0, 344.0]], ('10%Svc Chg', 0.9281734228134155)], [[[200.0, 328.0], [231.0, 328.0], [231.0, 342.0], [200.0, 342.0]], ('29.10', 0.9961326718330383)]]	{"store_name": "TheShoppesatMarinaBaySands", "store_addr": "Singapore018972 2BayfrontAvenue01-81", "telephone": "56887367", "date": "22Nov'12", "time": "20:11", "subtotal": "291.00", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SpicyChoco", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PisangSalehIce", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AngusRendang", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AyamBakarKecap", "item_value": "29.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AspargsSmblGrg", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SateAyamMadura", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SateUdangJawa", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EquilStill760ml", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NautilusPNoir", "item_value": "118.00", "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	[[[[356.0, 169.0], [749.0, 152.0], [750.0, 171.0], [357.0, 188.0]], ('CHINEES SPECIAL ITEITEN RESTAURANT', 0.938441812992096)], [[[407.0, 191.0], [666.0, 180.0], [667.0, 198.0], [408.0, 210.0]], ('GOLDEN CHOPSTICKS*', 0.9407151341438293)], [[[396.0, 220.0], [581.0, 214.0], [582.0, 232.0], [396.0, 239.0]], ('Doelenstraat 1', 0.9651788473129272)], [[[631.0, 212.0], [753.0, 208.0], [753.0, 228.0], [632.0, 231.0]], ('Amsterdam', 0.99783855676651)], [[[338.0, 223.0], [405.0, 220.0], [406.0, 239.0], [339.0, 241.0]], ('Oude ', 0.8765437006950378)], [[[398.0, 238.0], [605.0, 230.0], [606.0, 249.0], [398.0, 257.0]], ('Te1:020-6207040', 0.9503834247589111)], [[[633.0, 266.0], [690.0, 266.0], [690.0, 290.0], [633.0, 290.0]], ('03.1', 0.9964041113853455)], [[[323.0, 277.0], [537.0, 270.0], [538.0, 292.0], [324.0, 299.0]], ('Datum:12-07-10', 0.959426999092102)], [[[706.0, 307.0], [770.0, 304.0], [772.0, 332.0], [707.0, 335.0]], ('7.50', 0.9919993281364441)], [[[316.0, 319.0], [461.0, 313.0], [462.0, 339.0], [318.0, 345.0]], ('1 Pap Bief.', 0.9206991195678711)], [[[710.0, 332.0], [774.0, 332.0], [774.0, 359.0], [710.0, 359.0]], ('7.50', 0.995552659034729)], [[[313.0, 342.0], [535.0, 335.0], [536.0, 361.0], [314.0, 368.0]], ('1 Pap Zout Vlees', 0.9464463591575623)], [[[329.0, 366.0], [518.0, 362.0], [519.0, 387.0], [330.0, 391.0]], ('Geb.Olie Stok', 0.9335199594497681)], [[[713.0, 357.0], [777.0, 357.0], [777.0, 385.0], [713.0, 385.0]], ('1.50', 0.9916892051696777)], [[[304.0, 391.0], [653.0, 386.0], [653.0, 414.0], [304.0, 419.0]], ('4 Ges.Oester Gember Uitj', 0.9443418383598328)], [[[699.0, 384.0], [779.0, 382.0], [780.0, 412.0], [700.0, 415.0]], ('10.00', 0.996301531791687)], [[[290.0, 497.0], [779.0, 497.0], [779.0, 584.0], [290.0, 584.0]], ('Totaal: 26.50', 0.9199303984642029)], [[[283.0, 650.0], [822.0, 665.0], [821.0, 694.0], [282.0, 679.0]], ('Bedankt voor uw bezoek en tot ziens', 0.9400607347488403)]]	{"store_name": "CHINEESSPECIALITEITENRESTAURANI", "store_addr": "OudeDoelenstraat1Amsterdam", "telephone": "020-6207040", "date": "12-07-10", "time": "", "subtotal": "", "tax": "", "total": "26.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PapBief.", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PapZoutVlees", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Geb.OlieStok", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Ges.OesterGemberUitj", "item_value": "10.00", "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	[[[[480.0, 213.0], [968.0, 209.0], [969.0, 252.0], [480.0, 256.0]], ('THE PASTA BOWL COMPANY', 0.9475792050361633)], [[[519.0, 263.0], [951.0, 258.0], [951.0, 301.0], [520.0, 305.0]], ('GL -201 IIND FL00R', 0.8820920586585999)], [[[475.0, 314.0], [1036.0, 307.0], [1037.0, 350.0], [476.0, 356.0]], ('CROSS POINT MALL DLF IV', 0.945127010345459)], [[[543.0, 363.0], [883.0, 356.0], [884.0, 401.0], [544.0, 408.0]], ('GURGAON-122 002', 0.9653536677360535)], [[[543.0, 414.0], [883.0, 409.0], [884.0, 454.0], [544.0, 459.0]], ('PH 0124 4375666', 0.9271574020385742)], [[[155.0, 523.0], [383.0, 518.0], [384.0, 565.0], [156.0, 570.0]], ('RESTAURANT', 0.9958604574203491)], [[[155.0, 578.0], [477.0, 574.0], [478.0, 618.0], [155.0, 623.0]], ('B111:R007332', 0.9267062544822693)], [[[587.0, 570.0], [866.0, 565.0], [866.0, 614.0], [587.0, 619.0]], ('Time:21:58', 0.9120393991470337)], [[[565.0, 623.0], [757.0, 623.0], [757.0, 674.0], [565.0, 674.0]], ('Cvr Stw', 0.9647818207740784)], [[[997.0, 614.0], [1076.0, 614.0], [1076.0, 668.0], [997.0, 668.0]], ('UID', 0.9964197278022766)], [[[155.0, 631.0], [260.0, 631.0], [260.0, 678.0], [155.0, 678.0]], ('Date', 0.9970963001251221)], [[[362.0, 629.0], [484.0, 629.0], [484.0, 676.0], [362.0, 676.0]], ('Table', 0.9955841302871704)], [[[155.0, 681.0], [391.0, 681.0], [391.0, 732.0], [155.0, 732.0]], ('06/09/142', 0.9961168766021729)], [[[563.0, 678.0], [598.0, 678.0], [598.0, 727.0], [563.0, 727.0]], ('0', 0.8377265334129333)], [[[1019.0, 676.0], [1056.0, 676.0], [1056.0, 723.0], [1019.0, 723.0]], ('a', 0.9927482008934021)], [[[154.0, 790.0], [368.0, 785.0], [369.0, 838.0], [156.0, 843.0]], ('Item Name', 0.9642519354820251)], [[[678.0, 783.0], [894.0, 778.0], [895.0, 832.0], [679.0, 837.0]], ('Qty.Rate', 0.9615325927734375)], [[[934.0, 781.0], [1073.0, 781.0], [1073.0, 828.0], [934.0, 828.0]], ('Amount', 0.9986634850502014)], [[[681.0, 887.0], [871.0, 887.0], [871.0, 939.0], [681.0, 939.0]], ('1175.00', 0.9959443211555481)], [[[935.0, 886.0], [1080.0, 878.0], [1083.0, 931.0], [938.0, 940.0]], ('175.00', 0.9968962073326111)], [[[157.0, 900.0], [569.0, 894.0], [570.0, 938.0], [158.0, 945.0]], ('Formaggio Di Capra', 0.9612872004508972)], [[[683.0, 945.0], [871.0, 945.0], [871.0, 990.0], [683.0, 990.0]], ('1375.00', 0.990839958190918)], [[[933.0, 939.0], [1081.0, 934.0], [1083.0, 987.0], [935.0, 993.0]], ('375.00', 0.9952725768089294)], [[[157.0, 954.0], [639.0, 949.0], [639.0, 992.0], [157.0, 996.0]], ('Gemberi Marianati Ara', 0.964432418346405)], [[[685.0, 1001.0], [871.0, 1001.0], [871.0, 1045.0], [685.0, 1045.0]], ('1375.00', 0.9943022727966309)], [[[933.0, 995.0], [1083.0, 989.0], [1085.0, 1043.0], [935.0, 1048.0]], ('375.00', 0.9966064095497131)], [[[161.0, 1007.0], [639.0, 1007.0], [639.0, 1050.0], [161.0, 1050.0]], ('TPBC Sign Ravio1i Gra', 0.91431725025177)], [[[681.0, 1056.0], [868.0, 1056.0], [868.0, 1101.0], [681.0, 1101.0]], ('1395.00', 0.9960591197013855)], [[[940.0, 1052.0], [1082.0, 1052.0], [1082.0, 1099.0], [940.0, 1099.0]], ('395.00', 0.9955019950866699)], [[[157.0, 1063.0], [637.0, 1058.0], [637.0, 1103.0], [157.0, 1107.0]], ('Lasagne A1 Forno Non-', 0.9342631101608276)], [[[681.0, 1105.0], [873.0, 1105.0], [873.0, 1156.0], [681.0, 1156.0]], ('1175.00', 0.9949578642845154)], [[[943.0, 1107.0], [1084.0, 1107.0], [1084.0, 1154.0], [943.0, 1154.0]], ('175.00', 0.9976398944854736)], [[[157.0, 1118.0], [526.0, 1118.0], [526.0, 1161.0], [157.0, 1161.0]], ('Friutti Di Basco', 0.962303638458252)], [[[681.0, 1161.0], [875.0, 1161.0], [875.0, 1212.0], [681.0, 1212.0]], ('1165.00', 0.9955493211746216)], [[[943.0, 1158.0], [1087.0, 1158.0], [1087.0, 1212.0], [943.0, 1212.0]], ('165.00', 0.9967326521873474)], [[[152.0, 1174.0], [523.0, 1167.0], [524.0, 1211.0], [153.0, 1218.0]], ('Mango Pana Cotta', 0.9573594331741333)], [[[918.0, 1325.0], [1088.0, 1320.0], [1089.0, 1373.0], [920.0, 1379.0]], ('1660.00', 0.9938473701477051)], [[[146.0, 1336.0], [361.0, 1329.0], [363.0, 1382.0], [148.0, 1389.0]], ('Sub Tota1', 0.9179697036743164)], [[[945.0, 1380.0], [1091.0, 1380.0], [1091.0, 1434.0], [945.0, 1434.0]], ('166.00', 0.9953746199607849)], [[[146.0, 1393.0], [573.0, 1384.0], [574.0, 1435.0], [147.0, 1445.0]], ('Service Charge 10%', 0.9640038013458252)], [[[141.0, 1447.0], [339.0, 1442.0], [341.0, 1495.0], [143.0, 1500.0]], ('VAT12.5%', 0.9877835512161255)], [[[947.0, 1440.0], [1091.0, 1440.0], [1091.0, 1487.0], [947.0, 1487.0]], ('207.53', 0.9956445097923279)], [[[969.0, 1493.0], [1095.0, 1493.0], [1095.0, 1547.0], [969.0, 1547.0]], ('10.36', 0.9959926605224609)], [[[141.0, 1509.0], [619.0, 1497.0], [620.0, 1548.0], [143.0, 1560.0]], ('Surcharge on vat @5%', 0.9554634094238281)], [[[969.0, 1551.0], [1095.0, 1551.0], [1095.0, 1604.0], [969.0, 1604.0]], ('90.27', 0.995557427406311)], [[[142.0, 1568.0], [595.0, 1559.0], [596.0, 1604.0], [142.0, 1613.0]], ('Service Tax @4.944%', 0.9508723020553589)], [[[925.0, 1613.0], [1095.0, 1613.0], [1095.0, 1662.0], [925.0, 1662.0]], ('2134.00', 0.9972478747367859)], [[[137.0, 1624.0], [427.0, 1617.0], [428.0, 1670.0], [138.0, 1677.0]], ('Gross Amount', 0.9694533348083496)], [[[137.0, 1737.0], [1210.0, 1724.0], [1211.0, 1775.0], [138.0, 1788.0]], ('KOT No.RG011479\\RGO11482\\RGO11483\\RGO11484', 0.9274538159370422)]]	{"store_name": "THEPASTABOWLCOMPANY", "store_addr": "GL-201IINDFLOOR, CROSSPOINTMALL,DLFIV, GURGAON-122002", "telephone": "01244375666", "date": "06/09/14", "time": "21:58", "subtotal": "1660.00", "tax": "207.53 10.36 90.27", "total": "2134.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FormaggioDiCapra", "item_value": "175.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GemberiMarianatiAra", "item_value": "375.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TPBCSignRavioliGra", "item_value": "375.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LasagneAIForonNon-", "item_value": "395.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FriuttiDiBasco", "item_value": "175.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MangoPanaCotta", "item_value": "165.00", "item_quantity": "1"}, {"item_key": "ItemName", "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	[[[[203.0, 112.0], [408.0, 100.0], [409.0, 117.0], [204.0, 130.0]], ('Colonial C.C.', 0.8970848917961121)], [[[224.0, 143.0], [399.0, 134.0], [400.0, 152.0], [225.0, 161.0]], ('2736 Countrywood Pkwy', 0.9532492756843567)], [[[240.0, 160.0], [392.0, 152.0], [393.0, 169.0], [241.0, 177.0]], ('CordovaTN.38016', 0.9795590043067932)], [[[260.0, 175.0], [368.0, 172.0], [369.0, 189.0], [260.0, 193.0]], ('(901388-6150', 0.9466201663017273)], [[[401.0, 209.0], [485.0, 209.0], [485.0, 228.0], [401.0, 228.0]], ('21705', 0.9981400370597839)], [[[151.0, 234.0], [318.0, 231.0], [319.0, 250.0], [152.0, 253.0]], ('BANQUETSB', 0.991614043712616)], [[[371.0, 231.0], [439.0, 231.0], [439.0, 249.0], [371.0, 249.0]], ('Table', 0.8470975160598755)], [[[434.0, 231.0], [485.0, 231.0], [485.0, 247.0], [434.0, 247.0]], ('600', 0.9971864223480225)], [[[150.0, 255.0], [319.0, 252.0], [320.0, 270.0], [150.0, 273.0]], ('Tue 09/20/16 8:52 AM', 0.9102007746696472)], [[[370.0, 253.0], [422.0, 253.0], [422.0, 269.0], [370.0, 269.0]], ('Guusts', 0.7569677233695984)], [[[455.0, 250.0], [486.0, 250.0], [486.0, 267.0], [455.0, 267.0]], ('10', 0.9968388080596924)], [[[148.0, 275.0], [273.0, 272.0], [274.0, 295.0], [149.0, 298.0]], ('Guest Num5', 0.9540700912475586)], [[[401.0, 271.0], [487.0, 269.0], [487.0, 287.0], [402.0, 290.0]], ('N-MBR EVNT', 0.9535661935806274)], [[[167.0, 316.0], [239.0, 313.0], [240.0, 335.0], [168.0, 338.0]], ('1COFFEE', 0.9830961227416992)], [[[350.0, 310.0], [393.0, 310.0], [393.0, 333.0], [350.0, 333.0]], ('2.00', 0.9923558831214905)], [[[337.0, 352.0], [406.0, 351.0], [406.0, 371.0], [337.0, 372.0]], ('SubTotal', 0.927844762802124)], [[[454.0, 350.0], [492.0, 350.0], [492.0, 370.0], [454.0, 370.0]], ('2.00', 0.9927859306335449)], [[[289.0, 374.0], [408.0, 372.0], [408.0, 391.0], [289.0, 393.0]], ('SERVICE CHARGE', 0.9651830792427063)], [[[452.0, 370.0], [492.0, 367.0], [494.0, 387.0], [454.0, 390.0]], ('0.44', 0.9939228892326355)], [[[363.0, 394.0], [408.0, 391.0], [409.0, 411.0], [364.0, 414.0]], ('Taxes', 0.9954046010971069)], [[[455.0, 390.0], [494.0, 390.0], [494.0, 409.0], [455.0, 409.0]], ('0.23', 0.995296835899353)], [[[306.0, 433.0], [494.0, 429.0], [494.0, 451.0], [306.0, 455.0]], ('Please pay this amount', 0.9655832052230835)], [[[326.0, 456.0], [492.0, 451.0], [492.0, 469.0], [326.0, 474.0]], ('Tota12.67', 0.9866014122962952)], [[[151.0, 519.0], [266.0, 517.0], [266.0, 535.0], [152.0, 538.0]], ('Acct:4001_00', 0.9177157878875732)], [[[151.0, 540.0], [259.0, 538.0], [259.0, 557.0], [151.0, 558.0]], ('Credit Cards', 0.9803659915924072)], [[[151.0, 561.0], [340.0, 561.0], [340.0, 579.0], [151.0, 579.0]], ('For excellent service', 0.9517416954040527)], [[[150.0, 584.0], [395.0, 580.0], [395.0, 598.0], [150.0, 602.0]], ('opt ional additional gratuity', 0.9366505742073059)], [[[149.0, 628.0], [160.0, 628.0], [160.0, 644.0], [149.0, 644.0]], ('$', 0.9488016963005066)], [[[218.0, 690.0], [303.0, 687.0], [304.0, 710.0], [219.0, 713.0]], ('THANK YOU', 0.9585440754890442)], [[[139.0, 762.0], [220.0, 759.0], [221.0, 782.0], [140.0, 785.0]], ('MEMBER #', 0.9368371963500977)], [[[137.0, 833.0], [228.0, 833.0], [228.0, 858.0], [137.0, 858.0]], ('SIGNATURE', 0.9948760271072388)]]	{"store_name": "ColonialC.C.", "store_addr": "Cordova,TN.38016 2736CountrywoodPkwy", "telephone": "(901)388-6150", "date": "Tue09/20/16", "time": "8:52AM", "subtotal": "2.00", "tax": "0.23", "total": "Total2.67", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "COFFEE", "item_value": "2.00", "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	[[[[301.0, 150.0], [438.0, 152.0], [437.0, 194.0], [300.0, 191.0]], ("IT'SUGAR ", 0.8837392926216125)], [[[130.0, 191.0], [316.0, 199.0], [315.0, 221.0], [129.0, 213.0]], ('1 At lantic Ocean', 0.921635627746582)], [[[447.0, 191.0], [605.0, 183.0], [607.0, 208.0], [448.0, 216.0]], ('609)385-0101', 0.9553667902946472)], [[[129.0, 216.0], [283.0, 223.0], [282.0, 248.0], [127.0, 241.0]], ('At lantic City', 0.9344072937965393)], [[[371.0, 218.0], [485.0, 218.0], [485.0, 239.0], [371.0, 239.0]], ('New Jersey', 0.9524227380752563)], [[[548.0, 212.0], [608.0, 208.0], [610.0, 231.0], [550.0, 235.0]], ('08401', 0.9976314306259155)], [[[130.0, 245.0], [181.0, 245.0], [181.0, 273.0], [130.0, 273.0]], ('1001', 0.998790442943573)], [[[291.0, 248.0], [398.0, 240.0], [400.0, 265.0], [293.0, 274.0]], ('REG#2', 0.9921231269836426)], [[[438.0, 241.0], [591.0, 235.0], [592.0, 260.0], [439.0, 266.0]], ('TRAN #345219', 0.9621243476867676)], [[[311.0, 274.0], [407.0, 264.0], [410.0, 289.0], [314.0, 299.0]], ('-RECEIPT', 0.9710904359817505)], [[[464.0, 291.0], [560.0, 288.0], [561.0, 314.0], [465.0, 317.0]], ('Price T.', 0.9266337156295776)], [[[591.0, 286.0], [618.0, 286.0], [618.0, 310.0], [591.0, 310.0]], ('Tx', 0.8743258714675903)], [[[245.0, 300.0], [287.0, 300.0], [287.0, 329.0], [245.0, 329.0]], ('Qty', 0.9962937235832214)], [[[348.0, 296.0], [407.0, 292.0], [409.0, 319.0], [350.0, 323.0]], ('Unit.', 0.9755675196647644)], [[[135.0, 360.0], [378.0, 351.0], [379.0, 375.0], [136.0, 384.0]], ('1000028489 BULK CANDY', 0.953517735004425)], [[[559.0, 369.0], [621.0, 366.0], [623.0, 394.0], [560.0, 397.0]], ('6.58', 0.9755908846855164)], [[[260.0, 384.0], [436.0, 376.0], [437.0, 401.0], [261.0, 409.0]], ('[email protected]', 0.9804186224937439)], [[[367.0, 435.0], [484.0, 429.0], [485.0, 455.0], [369.0, 461.0]], ('Sub Total:', 0.9048871994018555)], [[[564.0, 426.0], [614.0, 426.0], [614.0, 454.0], [564.0, 454.0]], ('6.58', 0.9904763698577881)], [[[565.0, 454.0], [617.0, 454.0], [617.0, 482.0], [565.0, 482.0]], ('0.44', 0.9928317070007324)], [[[239.0, 469.0], [455.0, 460.0], [456.0, 485.0], [240.0, 494.0]], ('Food-Bulk6.625%', 0.9460556507110596)], [[[194.0, 528.0], [258.0, 526.0], [259.0, 552.0], [195.0, 554.0]], ('Total', 0.9943854212760925)], [[[407.0, 520.0], [605.0, 513.0], [605.0, 538.0], [408.0, 545.0]], ('7.020.44 p1eces', 0.9332396984100342)], [[[285.0, 554.0], [457.0, 548.0], [458.0, 573.0], [286.0, 579.0]], ('* Payment **', 0.8910741806030273)], [[[574.0, 569.0], [625.0, 569.0], [625.0, 597.0], [574.0, 597.0]], ('7.02', 0.9878060817718506)], [[[130.0, 585.0], [185.0, 585.0], [185.0, 614.0], [130.0, 614.0]], ('Cash', 0.996635377407074)], [[[363.0, 608.0], [449.0, 605.0], [450.0, 632.0], [364.0, 635.0]], ('In Cash', 0.9678840041160583)], [[[574.0, 599.0], [626.0, 596.0], [628.0, 625.0], [575.0, 627.0]], ('7.02', 0.9756803512573242)], [[[363.0, 638.0], [439.0, 638.0], [439.0, 665.0], [363.0, 665.0]], ('Change', 0.9975347518920898)], [[[577.0, 630.0], [631.0, 627.0], [632.0, 655.0], [579.0, 658.0]], ('0.00', 0.9974363446235657)], [[[132.0, 712.0], [427.0, 695.0], [429.0, 720.0], [133.0, 737.0]], ('Sa les Associate : Jordan', 0.9270333647727966)], [[[130.0, 743.0], [475.0, 721.0], [477.0, 749.0], [132.0, 771.0]], ('GET15%OFF YOUR NEXT ORDER!', 0.9116738438606262)], [[[129.0, 776.0], [526.0, 749.0], [528.0, 778.0], [131.0, 804.0]], ('SIGN UP AT www.itsugar.com/email', 0.9332551956176758)], [[[126.0, 843.0], [348.0, 820.0], [352.0, 852.0], [130.0, 875.0]], ('Operator680927', 0.9919863343238831)], [[[560.0, 843.0], [665.0, 840.0], [666.0, 871.0], [561.0, 873.0]], ('10:52PM', 0.9577202200889587)], [[[358.0, 854.0], [437.0, 848.0], [440.0, 879.0], [361.0, 884.0]], ('345219', 0.9994068741798401)], [[[127.0, 877.0], [236.0, 866.0], [240.0, 896.0], [130.0, 907.0]], ('9/2/2018', 0.997599184513092)]]	{"store_name": "IT'SUGAR", "store_addr": "1AtlanticOcean AtlanticCity NewJersey 08401 1001", "telephone": "(609)385-0101", "date": "9/2/2018", "time": "10:52PM", "subtotal": "6.58", "tax": "0.44", "total": "7.020.44piece(s) 7.02 7.02", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BULKCANDY", "item_value": "6.58*", "item_quantity": "1"}, {"item_key": "Unit.", "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	[[[[112.0, 1.0], [212.0, 3.0], [211.0, 17.0], [112.0, 15.0]], ('NT YORFEEDAXI', 0.6508112549781799)], [[[115.0, 12.0], [210.0, 14.0], [209.0, 27.0], [115.0, 25.0]], ('T ARE MHN', 0.6593040227890015)], [[[120.0, 24.0], [212.0, 25.0], [211.0, 36.0], [120.0, 35.0]], ('R SAUSAE BISCU', 0.7448018193244934)], [[[96.0, 42.0], [230.0, 44.0], [230.0, 57.0], [96.0, 56.0]], ('and tell us about your vistt.', 0.8793602585792542)], [[[92.0, 52.0], [177.0, 56.0], [177.0, 68.0], [92.0, 65.0]], ('Validation Code.', 0.8168305158615112)], [[[89.0, 95.0], [239.0, 96.0], [239.0, 113.0], [89.0, 112.0]], ('10249-13271-00618-09394-00059-4', 0.9541670680046082)], [[[130.0, 88.0], [195.0, 88.0], [195.0, 99.0], [130.0, 99.0]], ('Survey Code', 0.921417236328125)], [[[93.0, 120.0], [230.0, 121.0], [230.0, 134.0], [93.0, 133.0]], ("McDonald's Restaurant #10249", 0.9165242314338684)], [[[142.0, 134.0], [189.0, 134.0], [189.0, 145.0], [142.0, 145.0]], ('HY441', 0.8446562886238098)], [[[122.0, 145.0], [207.0, 145.0], [207.0, 158.0], [122.0, 158.0]], ('CLAYTON.GA 30525', 0.949680745601654)], [[[122.0, 157.0], [208.0, 157.0], [208.0, 170.0], [122.0, 170.0]], ('TEL#706-782-5313', 0.9682759046554565)], [[[64.0, 179.0], [101.0, 181.0], [100.0, 196.0], [63.0, 193.0]], ('KS#13', 0.9626992344856262)], [[[165.0, 181.0], [262.0, 180.0], [262.0, 194.0], [165.0, 195.0]], ('10/06/201809:39AM', 0.9707444310188293)], [[[64.0, 192.0], [96.0, 195.0], [95.0, 210.0], [63.0, 207.0]], ('Side2', 0.932079017162323)], [[[217.0, 194.0], [261.0, 192.0], [262.0, 206.0], [218.0, 209.0]], ('Order27', 0.9167050123214722)], [[[64.0, 220.0], [177.0, 220.0], [177.0, 234.0], [64.0, 234.0]], ('1Bac Egg Ch B1s M1-Hb', 0.8662056922912598)], [[[239.0, 218.0], [265.0, 218.0], [265.0, 233.0], [239.0, 233.0]], ('4.55', 0.9874041080474854)], [[[74.0, 235.0], [128.0, 235.0], [128.0, 246.0], [74.0, 246.0]], ('1-L Sprite', 0.8326969146728516)], [[[62.0, 247.0], [168.0, 247.0], [168.0, 261.0], [62.0, 261.0]], ('1 Egg Cheese Biscult', 0.883091926574707)], [[[240.0, 245.0], [267.0, 245.0], [267.0, 260.0], [240.0, 260.0]], ('1.00', 0.9439878463745117)], [[[70.0, 259.0], [147.0, 259.0], [147.0, 273.0], [70.0, 273.0]], ('SUB McGr1ddles', 0.9044914841651917)], [[[59.0, 288.0], [105.0, 288.0], [105.0, 303.0], [59.0, 303.0]], ('subott', 0.5057246088981628)], [[[242.0, 287.0], [268.0, 287.0], [268.0, 303.0], [242.0, 303.0]], ('5.55', 0.9938625693321228)], [[[69.0, 302.0], [92.0, 302.0], [92.0, 316.0], [69.0, 316.0]], ('Tax', 0.9779069423675537)], [[[242.0, 302.0], [269.0, 302.0], [269.0, 316.0], [242.0, 316.0]], ('0.39', 0.9831755757331848)], [[[60.0, 315.0], [135.0, 317.0], [134.0, 332.0], [59.0, 330.0]], ('Take-Out Total', 0.941867470741272)], [[[242.0, 313.0], [270.0, 316.0], [269.0, 332.0], [241.0, 329.0]], ('5.94', 0.9908490777015686)]]	{"store_name": "McDonald'sRestaurant#10249", "store_addr": "CLAYTON.GA30525 HWY441", "telephone": "706-782-5313", "date": "10/06/2018", "time": "09:39AM", "subtotal": "5.55", "tax": "0.39", "total": "5.94", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SUBMcGriddles", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EggCheeseBiscuit", "item_value": "4.55", "item_quantity": "1"}, {"item_key": "", "item_name": "1LSprite", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BacEggChBisHl-Hb", "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	[[[[314.0, 1.0], [445.0, 6.0], [444.0, 24.0], [313.0, 19.0]], ('RESTAURANT', 0.9957259297370911)], [[[228.0, 15.0], [525.0, 25.0], [525.0, 46.0], [228.0, 36.0]], ('7377S.JONESBLVD#116', 0.9518988728523254)], [[[253.0, 39.0], [491.0, 45.0], [491.0, 66.0], [252.0, 60.0]], ('LAS VEGAS.NV 89139', 0.9329960346221924)], [[[294.0, 64.0], [470.0, 67.0], [470.0, 89.0], [294.0, 86.0]], ('702776-7778', 0.9934837818145752)], [[[122.0, 113.0], [277.0, 116.0], [277.0, 141.0], [121.0, 138.0]], ('10069 Ada Z.', 0.9067440032958984)], [[[119.0, 174.0], [241.0, 174.0], [241.0, 199.0], [119.0, 199.0]], ('Check:23', 0.9473788738250732)], [[[529.0, 175.0], [647.0, 175.0], [647.0, 200.0], [529.0, 200.0]], ('Guests:2', 0.959177553653717)], [[[118.0, 205.0], [268.0, 205.0], [268.0, 233.0], [118.0, 233.0]], ('Table:C3-1', 0.9313822984695435)], [[[272.0, 238.0], [507.0, 234.0], [507.0, 259.0], [272.0, 263.0]], ('12/26/201404:11PM', 0.971557080745697)], [[[310.0, 301.0], [467.0, 298.0], [468.0, 324.0], [310.0, 327.0]], ('DINING', 0.9975940585136414)], [[[117.0, 336.0], [134.0, 336.0], [134.0, 362.0], [117.0, 362.0]], ('1', 0.8122673034667969)], [[[536.0, 327.0], [593.0, 327.0], [593.0, 355.0], [536.0, 355.0]], ('5.00', 0.9963387846946716)], [[[189.0, 337.0], [458.0, 331.0], [458.0, 356.0], [190.0, 362.0]], ('Cajun Albacore sashi', 0.9557734727859497)], [[[537.0, 358.0], [596.0, 358.0], [596.0, 386.0], [537.0, 386.0]], ('5.00', 0.997489869594574)], [[[116.0, 369.0], [135.0, 369.0], [135.0, 397.0], [116.0, 397.0]], ('1', 0.9797021150588989)], [[[188.0, 369.0], [432.0, 363.0], [433.0, 388.0], [189.0, 394.0]], ('Hydro Bibb B1k Cod', 0.9269425868988037)], [[[538.0, 390.0], [598.0, 387.0], [599.0, 418.0], [539.0, 421.0]], ('8.00', 0.9955419301986694)], [[[114.0, 401.0], [136.0, 401.0], [136.0, 431.0], [114.0, 431.0]], ('2', 0.9920845031738281)], [[[189.0, 402.0], [445.0, 395.0], [446.0, 421.0], [190.0, 428.0]], ('Salmon Avocado Ro11', 0.9273701906204224)], [[[543.0, 423.0], [599.0, 423.0], [599.0, 451.0], [543.0, 451.0]], ('4.00', 0.9899307489395142)], [[[117.0, 435.0], [134.0, 435.0], [134.0, 462.0], [117.0, 462.0]], ('1', 0.9582743644714355)], [[[190.0, 433.0], [300.0, 433.0], [300.0, 459.0], [190.0, 459.0]], ('Ika Geso', 0.9466553330421448)], [[[542.0, 457.0], [601.0, 454.0], [602.0, 482.0], [543.0, 485.0]], ('2.00', 0.9949219226837158)], [[[115.0, 468.0], [136.0, 468.0], [136.0, 498.0], [115.0, 498.0]], ('2', 0.9893116354942322)], [[[188.0, 468.0], [368.0, 462.0], [369.0, 487.0], [189.0, 493.0]], ('Tada-Salmon', 0.9573215246200562)], [[[532.0, 489.0], [604.0, 486.0], [605.0, 516.0], [534.0, 519.0]], ('20.00', 0.9955030679702759)], [[[116.0, 503.0], [133.0, 503.0], [133.0, 530.0], [116.0, 530.0]], ('1', 0.9183522462844849)], [[[187.0, 500.0], [464.0, 491.0], [465.0, 520.0], [188.0, 528.0]], ('Uni Dou -W/Catalina', 0.9385003447532654)], [[[546.0, 521.0], [608.0, 518.0], [610.0, 550.0], [548.0, 552.0]], ('5.00', 0.9973537921905518)], [[[116.0, 538.0], [132.0, 538.0], [132.0, 566.0], [116.0, 566.0]], ('1', 0.9088923335075378)], [[[187.0, 536.0], [372.0, 529.0], [373.0, 557.0], [188.0, 564.0]], ('Baked Mussels', 0.942019522190094)], [[[541.0, 589.0], [615.0, 586.0], [616.0, 617.0], [542.0, 620.0]], ('49.00', 0.9922392964363098)], [[[186.0, 604.0], [302.0, 599.0], [303.0, 629.0], [187.0, 634.0]], ('SUBTOTAL', 0.9969525933265686)], [[[556.0, 623.0], [617.0, 620.0], [618.0, 653.0], [557.0, 656.0]], ('3.97', 0.9958723783493042)], [[[184.0, 639.0], [237.0, 639.0], [237.0, 671.0], [184.0, 671.0]], ('Tax', 0.9963329434394836)], [[[517.0, 662.0], [687.0, 655.0], [689.0, 686.0], [519.0, 693.0]], ('$52.97', 0.9941005110740662)], [[[115.0, 679.0], [374.0, 666.0], [375.0, 697.0], [116.0, 710.0]], ('TOTAL DUE', 0.953064501285553)], [[[160.0, 753.0], [636.0, 734.0], [637.0, 762.0], [162.0, 782.0]], ('Thank youpTease visit us again', 0.9524934887886047)]]	{"store_name": "RESTAURANT", "store_addr": "7377S.JONESBLVD,#116 LASVEGAS,NV89139", "telephone": "(702)776-7778", "date": "12/26/2014", "time": "04:11PM", "subtotal": "49.00", "tax": "3.97", "total": "$52.97", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CajunAlbacoresashi", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HydroBibbBlkCod", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SalmonAvocadoRoll", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "IkaGeso", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tada-Salmon", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "UniDou-W/Catalina", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BakedMussels", "item_value": "5.00", "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	[[[[314.0, 1.0], [445.0, 6.0], [444.0, 24.0], [313.0, 19.0]], ('RESTAURANT', 0.9957642555236816)], [[[228.0, 15.0], [525.0, 25.0], [525.0, 46.0], [228.0, 36.0]], ('7377S.JONESBLVD.#116', 0.923958420753479)], [[[253.0, 39.0], [491.0, 45.0], [491.0, 66.0], [252.0, 60.0]], ('LAS VEGAS.NV 89139', 0.9325640201568604)], [[[294.0, 64.0], [470.0, 67.0], [470.0, 89.0], [294.0, 86.0]], ('702776-7778', 0.9500731825828552)], [[[122.0, 113.0], [277.0, 116.0], [277.0, 141.0], [121.0, 138.0]], ('10069 Ada Z.', 0.9055683016777039)], [[[119.0, 174.0], [241.0, 174.0], [241.0, 199.0], [119.0, 199.0]], ('Check:23', 0.9472471475601196)], [[[529.0, 175.0], [647.0, 175.0], [647.0, 200.0], [529.0, 200.0]], ('Guests:2', 0.9595355987548828)], [[[118.0, 205.0], [268.0, 205.0], [268.0, 233.0], [118.0, 233.0]], ('Table:C3-1', 0.9304813146591187)], [[[272.0, 238.0], [507.0, 234.0], [507.0, 259.0], [272.0, 263.0]], ('12/26/201404:11PM', 0.9718201756477356)], [[[310.0, 301.0], [467.0, 298.0], [468.0, 324.0], [310.0, 327.0]], ('DINING', 0.9975833892822266)], [[[117.0, 336.0], [134.0, 336.0], [134.0, 361.0], [117.0, 361.0]], ('1', 0.993539035320282)], [[[536.0, 327.0], [593.0, 327.0], [593.0, 355.0], [536.0, 355.0]], ('5.00', 0.9963308572769165)], [[[189.0, 337.0], [458.0, 331.0], [458.0, 356.0], [190.0, 362.0]], ('Cajun Albacore sashi', 0.9557055234909058)], [[[537.0, 358.0], [596.0, 358.0], [596.0, 386.0], [537.0, 386.0]], ('5.00', 0.997489869594574)], [[[116.0, 369.0], [135.0, 369.0], [135.0, 397.0], [116.0, 397.0]], ('1', 0.9799799919128418)], [[[188.0, 369.0], [432.0, 363.0], [433.0, 388.0], [189.0, 394.0]], ('Hydro Bibb B1k Cod', 0.926544189453125)], [[[538.0, 390.0], [598.0, 387.0], [599.0, 418.0], [539.0, 421.0]], ('8.00', 0.9955419301986694)], [[[114.0, 401.0], [136.0, 401.0], [136.0, 431.0], [114.0, 431.0]], ('2', 0.9920845031738281)], [[[189.0, 402.0], [445.0, 395.0], [446.0, 421.0], [190.0, 428.0]], ('Salmon Avocado Ro11', 0.9273708462715149)], [[[543.0, 423.0], [599.0, 423.0], [599.0, 451.0], [543.0, 451.0]], ('4.00', 0.9898051023483276)], [[[117.0, 435.0], [134.0, 435.0], [134.0, 462.0], [117.0, 462.0]], ('1', 0.9582743644714355)], [[[190.0, 433.0], [300.0, 433.0], [300.0, 459.0], [190.0, 459.0]], ('Ika Geso', 0.9466709494590759)], [[[542.0, 457.0], [601.0, 454.0], [602.0, 482.0], [543.0, 485.0]], ('2.00', 0.9949285984039307)], [[[115.0, 468.0], [136.0, 468.0], [136.0, 498.0], [115.0, 498.0]], ('2', 0.9893116354942322)], [[[188.0, 468.0], [368.0, 462.0], [369.0, 487.0], [189.0, 493.0]], ('Tada-Salmon', 0.9568069577217102)], [[[532.0, 489.0], [604.0, 486.0], [605.0, 516.0], [534.0, 519.0]], ('20.00', 0.9955213665962219)], [[[116.0, 503.0], [133.0, 503.0], [133.0, 530.0], [116.0, 530.0]], ('1', 0.9183522462844849)], [[[188.0, 500.0], [463.0, 491.0], [464.0, 520.0], [189.0, 528.0]], ('Uni Dou -W/Catalina', 0.9411613941192627)], [[[546.0, 521.0], [608.0, 518.0], [610.0, 550.0], [548.0, 552.0]], ('5.00', 0.9973543882369995)], [[[116.0, 538.0], [132.0, 538.0], [132.0, 566.0], [116.0, 566.0]], ('1', 0.9087845087051392)], [[[187.0, 536.0], [372.0, 529.0], [373.0, 557.0], [188.0, 564.0]], ('Baked Mussels', 0.9423083662986755)], [[[541.0, 589.0], [615.0, 586.0], [616.0, 617.0], [542.0, 620.0]], ('49.00', 0.9922338724136353)], [[[186.0, 604.0], [302.0, 599.0], [303.0, 629.0], [187.0, 634.0]], ('SUBTOTAL', 0.996955394744873)], [[[556.0, 623.0], [617.0, 620.0], [618.0, 653.0], [557.0, 656.0]], ('3.97', 0.9958761930465698)], [[[184.0, 639.0], [237.0, 639.0], [237.0, 671.0], [184.0, 671.0]], ('Tax', 0.9963212609291077)], [[[517.0, 662.0], [687.0, 655.0], [689.0, 686.0], [519.0, 693.0]], ('$52.97', 0.9939720630645752)], [[[115.0, 679.0], [374.0, 666.0], [375.0, 697.0], [116.0, 710.0]], ('TOTAL DUE', 0.9530508518218994)], [[[160.0, 753.0], [636.0, 734.0], [637.0, 762.0], [162.0, 782.0]], ('Thank youpTease visit us again', 0.9528564214706421)]]	{"store_name": "RESTAURANT", "store_addr": "7377S.JONESBLVD,#116 LASVEGAS,NV89139", "telephone": "(702)776-7778", "date": "12/26/2014", "time": "04:11PM", "subtotal": "49.00", "tax": "3.97", "total": "$52.97", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CajunA1bacoresashi", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HydroBibbBlk Cod", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SalmonAvocadoRoll", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "IkaGeso", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tada-Salmon", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "UniDou-W/Catalina", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BakedMussels", "item_value": "5.00", "item_quantity": "1"}]}