Datasets:
GHOFRANEE
/
Dataset_ocr_to_json

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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
[[[[141.0, 62.0], [318.0, 59.0], [319.0, 75.0], [141.0, 78.0]], ('KHMER KITCHEN BARBECUE', 0.9185178279876709)], [[[187.0, 76.0], [272.0, 75.0], [272.0, 89.0], [187.0, 90.0]], ('RESTAURANI', 0.9735416173934937)], [[[82.0, 92.0], [272.0, 92.0], [272.0, 106.0], [82.0, 106.0]], ('MoaS y Dag', 0.6274195313453674)], [[[164.0, 106.0], [243.0, 106.0], [243.0, 120.0], [164.0, 120.0]], ('ProvrcCaed', 0.5911794304847717)], [[[73.0, 120.0], [217.0, 122.0], [217.0, 136.0], [73.0, 135.0]], ('Tel063 956 353/012349501', 0.9311520457267761)], [[[74.0, 141.0], [167.0, 141.0], [167.0, 158.0], [74.0, 158.0]], ('Table:T-04', 0.9487717747688293)], [[[73.0, 160.0], [118.0, 160.0], [118.0, 174.0], [73.0, 174.0]], ('Time in:', 0.8242805004119873)], [[[225.0, 158.0], [336.0, 157.0], [337.0, 171.0], [225.0, 172.0]], ('2/15/20163.5749P', 0.9440760016441345)], [[[73.0, 177.0], [163.0, 177.0], [163.0, 191.0], [73.0, 191.0]], ('Ceshier:KIMNON', 0.8909350037574768)], [[[72.0, 194.0], [178.0, 194.0], [178.0, 207.0], [72.0, 207.0]], ('Cuetomer:GENERAL', 0.924080491065979)], [[[291.0, 191.0], [341.0, 191.0], [341.0, 205.0], [291.0, 205.0]], ('Cuest2', 0.7213685512542725)], [[[70.0, 210.0], [129.0, 213.0], [128.0, 230.0], [69.0, 227.0]], ('Descrpborr', 0.741192102432251)], [[[70.0, 232.0], [116.0, 234.0], [115.0, 249.0], [69.0, 247.0]], ('Ramus', 0.7394145131111145)], [[[197.0, 235.0], [205.0, 235.0], [205.0, 246.0], [197.0, 246.0]], ('1', 0.9832075834274292)], [[[231.0, 234.0], [255.0, 234.0], [255.0, 246.0], [231.0, 246.0]], ('2.50', 0.9814140796661377)], [[[278.0, 232.0], [294.0, 232.0], [294.0, 246.0], [278.0, 246.0]], ('on', 0.6159695982933044)], [[[315.0, 231.0], [342.0, 231.0], [342.0, 246.0], [315.0, 246.0]], ('250', 0.9593923687934875)], [[[70.0, 253.0], [209.0, 252.0], [209.0, 266.0], [70.0, 267.0]], ('Khmer Dumpling With Sauice', 0.8330788016319275)], [[[70.0, 274.0], [148.0, 274.0], [148.0, 288.0], [70.0, 288.0]], ('sgn AnGena', 0.6340354681015015)], [[[197.0, 275.0], [205.0, 275.0], [205.0, 285.0], [197.0, 285.0]], ('1', 0.979117751121521)], [[[231.0, 272.0], [257.0, 272.0], [257.0, 287.0], [231.0, 287.0]], ('5.00', 0.9837448596954346)], [[[317.0, 272.0], [344.0, 272.0], [344.0, 287.0], [317.0, 287.0]], ('5.00', 0.7843698263168335)], [[[69.0, 292.0], [141.0, 292.0], [141.0, 306.0], [69.0, 306.0]], ('Amok Chicken', 0.9519550204277039)], [[[68.0, 312.0], [192.0, 311.0], [192.0, 329.0], [68.0, 331.0]], ('uuigiaye nno', 0.536100447177887)], [[[186.0, 314.0], [204.0, 314.0], [204.0, 326.0], [186.0, 326.0]], ('1', 0.7841572761535645)], [[[232.0, 313.0], [258.0, 313.0], [258.0, 328.0], [232.0, 328.0]], ('4.50', 0.9738659858703613)], [[[280.0, 314.0], [297.0, 314.0], [297.0, 327.0], [280.0, 327.0]], ('0n', 0.5845099687576294)], [[[318.0, 313.0], [346.0, 313.0], [346.0, 328.0], [318.0, 328.0]], ('450', 0.7537358403205872)], [[[66.0, 333.0], [202.0, 333.0], [202.0, 348.0], [66.0, 348.0]], ('Mixed Vegetabia Soup Fial', 0.8497655987739563)], [[[66.0, 357.0], [110.0, 357.0], [110.0, 372.0], [66.0, 372.0]], ('Line:3', 0.9218793511390686)], [[[228.0, 356.0], [262.0, 356.0], [262.0, 371.0], [228.0, 371.0]], ('Totsl', 0.8317662477493286)], [[[306.0, 357.0], [348.0, 357.0], [348.0, 372.0], [306.0, 372.0]], ('$1200', 0.8666825294494629)], [[[282.0, 382.0], [349.0, 382.0], [349.0, 404.0], [282.0, 404.0]], ('$12.00', 0.9947957396507263)], [[[166.0, 400.0], [239.0, 400.0], [239.0, 417.0], [166.0, 417.0]], ('Total Due', 0.8692138195037842)], [[[283.0, 411.0], [350.0, 411.0], [350.0, 429.0], [283.0, 429.0]], ('148,000', 0.932559072971344)], [[[67.0, 435.0], [174.0, 436.0], [174.0, 449.0], [67.0, 449.0]], ('Powtr By T.O Group', 0.7989094257354736)]]
{"store_name": "RESTAURANT", "store_addr": "", "telephone": "063966353/012349501", "date": "2/15/2016", "time": "", "subtotal": "", "tax": "", "total": "$12.00 $12.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "AmokChicken", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "4.50", "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
[[[[149.0, 0.0], [210.0, 0.0], [210.0, 9.0], [149.0, 9.0]], ('nboh uaro', 0.6566087007522583)], [[[77.0, 20.0], [222.0, 21.0], [222.0, 35.0], [77.0, 34.0]], ("MENCHIE'S RANCHO CUCAMONGA", 0.9597973227500916)], [[[82.0, 34.0], [212.0, 34.0], [212.0, 46.0], [82.0, 46.0]], ('12263 HIGHLAND AVE #100', 0.9295623898506165)], [[[77.0, 48.0], [222.0, 48.0], [222.0, 61.0], [77.0, 61.0]], ('RANCHO CUCAMONGACA 91739', 0.9645670056343079)], [[[38.0, 102.0], [95.0, 102.0], [95.0, 116.0], [38.0, 116.0]], ('56STEFANI', 0.9760604500770569)], [[[39.0, 130.0], [101.0, 130.0], [101.0, 141.0], [39.0, 141.0]], ('Check:1413', 0.9547726511955261)], [[[208.0, 130.0], [261.0, 130.0], [261.0, 144.0], [208.0, 144.0]], ('Guests:1', 0.935433030128479)], [[[99.0, 142.0], [200.0, 142.0], [200.0, 155.0], [99.0, 155.0]], ('11/05/201603:20PM', 0.9741747379302979)], [[[101.0, 169.0], [183.0, 170.0], [183.0, 184.0], [101.0, 183.0]], ('DINE IN', 0.9463761448860168)], [[[65.0, 184.0], [113.0, 184.0], [113.0, 198.0], [65.0, 198.0]], ('1YOGURT', 0.9694494605064392)], [[[207.0, 184.0], [233.0, 184.0], [233.0, 199.0], [207.0, 199.0]], ('5.05', 0.997473955154419)], [[[87.0, 198.0], [150.0, 198.0], [150.0, 212.0], [87.0, 212.0]], ('10.3 oz Net', 0.9263820052146912)], [[[74.0, 209.0], [128.0, 212.0], [127.0, 226.0], [73.0, 223.0]], ('0.49/oz', 0.8835021257400513)], [[[63.0, 224.0], [123.0, 224.0], [123.0, 238.0], [63.0, 238.0]], ('MYSMILEAGE', 0.9932775497436523)], [[[206.0, 225.0], [233.0, 225.0], [233.0, 240.0], [206.0, 240.0]], ('0.00', 0.9953972101211548)], [[[74.0, 237.0], [117.0, 239.0], [116.0, 253.0], [73.0, 251.0]], ('Account', 0.9921689629554749)], [[[74.0, 252.0], [124.0, 252.0], [124.0, 266.0], [74.0, 266.0]], ('Exp Date', 0.9300694465637207)], [[[74.0, 264.0], [149.0, 267.0], [149.0, 281.0], [73.0, 278.0]], ('Authorization', 0.9811893105506897)], [[[72.0, 277.0], [142.0, 280.0], [141.0, 294.0], [71.0, 290.0]], ('Cash Ba lan', 0.9192507266998291)], [[[63.0, 294.0], [87.0, 294.0], [87.0, 305.0], [63.0, 305.0]], ('VISA', 0.9986134767532349)], [[[206.0, 294.0], [233.0, 294.0], [233.0, 308.0], [206.0, 308.0]], ('5.74', 0.9931551218032837)], [[[72.0, 307.0], [136.0, 307.0], [136.0, 318.0], [72.0, 318.0]], ('***********', 0.9036741256713867)], [[[59.0, 334.0], [106.0, 334.0], [106.0, 347.0], [59.0, 347.0]], ('SUBTOTAL', 0.9946960210800171)], [[[207.0, 336.0], [230.0, 336.0], [230.0, 347.0], [207.0, 347.0]], ('5.05', 0.8774852752685547)]]
{"store_name": "MENCHIE\u2019SRANCHDCUCAMONGA", "store_addr": "12263HIGHLANDAVE#100 RANCHOCUCAMONGA,CA91739", "telephone": "", "date": "11/05/2016", "time": "03:20PM", "subtotal": "5.05", "tax": "", "total": "5.74", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "YOGURT", "item_value": "5.05", "item_quantity": "1"}, {"item_key": "", "item_name": "MYSMILEAGE", "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
[[[[79.0, 20.0], [253.0, 20.0], [253.0, 40.0], [79.0, 40.0]], ('SERAPHINE KENSINGTON', 0.9858418703079224)], [[[77.0, 44.0], [190.0, 44.0], [190.0, 65.0], [77.0, 65.0]], ('OLYMPIA HOTEL', 0.9561176896095276)], [[[75.0, 62.0], [166.0, 64.0], [166.0, 81.0], [75.0, 79.0]], ('M69171', 0.9777401089668274)], [[[75.0, 74.0], [184.0, 76.0], [183.0, 95.0], [75.0, 92.0]], ('TID3817', 0.9822496771812439)], [[[243.0, 78.0], [290.0, 78.0], [290.0, 92.0], [243.0, 92.0]], ('S2561', 0.9811579585075378)], [[[75.0, 89.0], [255.0, 91.0], [255.0, 109.0], [75.0, 106.0]], ('SCH ID:MDSICDDEH1106', 0.9222173690795898)], [[[75.0, 103.0], [158.0, 106.0], [157.0, 120.0], [75.0, 117.0]], ('HANDSET:1', 0.9442850947380066)], [[[72.0, 128.0], [220.0, 129.0], [220.0, 146.0], [72.0, 145.0]], ('MASTERCARD DEBIT', 0.9731616377830505)], [[[74.0, 144.0], [245.0, 144.0], [245.0, 157.0], [74.0, 157.0]], ('AID: A0000000041010', 0.9574275016784668)], [[[72.0, 157.0], [218.0, 160.0], [218.0, 181.0], [72.0, 178.0]], ('Debit MasterCard', 0.979048490524292)], [[[70.0, 189.0], [219.0, 194.0], [219.0, 211.0], [70.0, 206.0]], ('8902', 0.9737215638160706)], [[[69.0, 207.0], [202.0, 208.0], [202.0, 225.0], [69.0, 224.0]], ('PAN SEQ NO.00', 0.8860280513763428)], [[[70.0, 222.0], [101.0, 222.0], [101.0, 236.0], [70.0, 236.0]], ('ICC', 0.9882331490516663)], [[[67.0, 247.0], [230.0, 249.0], [229.0, 266.0], [67.0, 264.0]], ('PRE-AUTHORISATION', 0.9930106997489929)], [[[65.0, 264.0], [127.0, 264.0], [127.0, 290.0], [65.0, 290.0]], ('AMOUNT', 0.9955370426177979)], [[[235.0, 263.0], [296.0, 263.0], [296.0, 292.0], [235.0, 292.0]], ('10.00', 0.9912802577018738)], [[[65.0, 308.0], [194.0, 308.0], [194.0, 325.0], [65.0, 325.0]], ('PIN VERIFIED', 0.9630446434020996)], [[[65.0, 328.0], [153.0, 328.0], [153.0, 343.0], [65.0, 343.0]], ('Thank You', 0.9572206139564514)], [[[63.0, 359.0], [202.0, 359.0], [202.0, 373.0], [63.0, 373.0]], ('06/11/1616:23', 0.9808068871498108)], [[[62.0, 373.0], [219.0, 373.0], [219.0, 387.0], [62.0, 387.0]], ('AUTHC0DE:882400', 0.9230890870094299)], [[[111.0, 405.0], [241.0, 405.0], [241.0, 419.0], [111.0, 419.0]], ('CUSTOMER COPY', 0.9689260721206665)], [[[69.0, 420.0], [280.0, 419.0], [280.0, 436.0], [69.0, 437.0]], ('PLEASE RETAIN RECEIPT', 0.9548287391662598)]]
{"store_name": "OLYMPIAHOTEL SERAPHINEKENSINGTON", "store_addr": "", "telephone": "", "date": "06/11/16", "time": "16:23", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[74.0, 44.0], [207.0, 49.0], [206.0, 63.0], [74.0, 58.0]], ('Jungle Jamboree', 0.9501162767410278)], [[[72.0, 62.0], [200.0, 70.0], [199.0, 84.0], [71.0, 76.0]], ('UNIT OFFUTOMIC OINERS LLP.', 0.8160792589187622)], [[[84.0, 54.0], [186.0, 58.0], [186.0, 72.0], [83.0, 67.0]], ('GSTIN07AAEFF2441G12S', 0.8072713017463684)], [[[79.0, 73.0], [194.0, 81.0], [193.0, 94.0], [78.0, 86.0]], ('011-45026500.011-45026800', 0.9430679082870483)], [[[83.0, 85.0], [186.0, 90.0], [185.0, 103.0], [82.0, 98.0]], ('Connaught Place.Deh', 0.8987792134284973)], [[[93.0, 95.0], [177.0, 101.0], [176.0, 115.0], [92.0, 109.0]], ('GSTIN07820040373', 0.9805978536605835)], [[[44.0, 114.0], [221.0, 121.0], [221.0, 134.0], [44.0, 127.0]], ('B11NoA21600K0TS5397453975.53981', 0.9181334972381592)], [[[105.0, 107.0], [167.0, 111.0], [167.0, 122.0], [104.0, 118.0]], ('DINE IN Order', 0.9252739548683167)], [[[60.0, 126.0], [208.0, 131.0], [207.0, 144.0], [59.0, 140.0]], ('Tuesday.Karch 27th 2018 7:51 p', 0.8780272603034973)], [[[50.0, 146.0], [149.0, 150.0], [149.0, 163.0], [50.0, 160.0]], ('Table50.2nd Floor', 0.8450456261634827)], [[[86.0, 137.0], [182.0, 141.0], [181.0, 154.0], [85.0, 151.0]], ('Order SourceNone', 0.9356452822685242)], [[[172.0, 153.0], [216.0, 153.0], [216.0, 164.0], [172.0, 164.0]], ('Guests:4', 0.9455016255378723)], [[[48.0, 168.0], [95.0, 170.0], [95.0, 184.0], [48.0, 182.0]], ('QTY ITEM', 0.8582808375358582)], [[[199.0, 174.0], [215.0, 174.0], [215.0, 186.0], [199.0, 186.0]], ('AMT', 0.9780903458595276)], [[[51.0, 194.0], [57.0, 194.0], [57.0, 203.0], [51.0, 203.0]], ('2', 0.8774851560592651)], [[[71.0, 191.0], [161.0, 194.0], [161.0, 207.0], [71.0, 204.0]], ('Chfcken Dum Biryani', 0.8547096252441406)], [[[186.0, 193.0], [215.0, 195.0], [214.0, 207.0], [185.0, 205.0]], ('750.00', 0.9926865696907043)], [[[71.0, 203.0], [158.0, 204.0], [158.0, 218.0], [71.0, 217.0]], ('Jalpari Fish Tikka', 0.8606500625610352)], [[[186.0, 204.0], [215.0, 206.0], [214.0, 220.0], [185.0, 218.0]], ('475.00', 0.9928610920906067)], [[[71.0, 214.0], [168.0, 216.0], [168.0, 229.0], [71.0, 227.0]], ('Junglee Handi Kukkad', 0.8987945318222046)], [[[184.0, 216.0], [216.0, 216.0], [216.0, 230.0], [184.0, 230.0]], ('425.00', 0.9852885603904724)], [[[71.0, 226.0], [162.0, 226.0], [162.0, 239.0], [71.0, 239.0]], ('NosAople Mojitos', 0.850680947303772)], [[[49.0, 237.0], [57.0, 237.0], [57.0, 248.0], [49.0, 248.0]], ('2', 0.98170405626297)], [[[71.0, 237.0], [166.0, 237.0], [166.0, 250.0], [71.0, 250.0]], ('Nos-Chocolate Oreo', 0.9246863126754761)], [[[185.0, 228.0], [215.0, 228.0], [215.0, 239.0], [185.0, 239.0]], ('125.00', 0.97926926612854)], [[[185.0, 237.0], [215.0, 239.0], [214.0, 251.0], [184.0, 249.0]], ('300.00', 0.9856076240539551)], [[[50.0, 250.0], [55.0, 250.0], [55.0, 257.0], [50.0, 257.0]], ('1', 0.5936275720596313)], [[[71.0, 248.0], [166.0, 248.0], [166.0, 261.0], [71.0, 261.0]], ('Nos-King of fruits', 0.901317298412323)], [[[185.0, 247.0], [216.0, 247.0], [216.0, 261.0], [185.0, 261.0]], ('150.00', 0.9908542633056641)], [[[71.0, 259.0], [154.0, 259.0], [154.0, 272.0], [71.0, 272.0]], ('Assorted Pastrles', 0.9554886817932129)], [[[185.0, 258.0], [217.0, 258.0], [217.0, 272.0], [185.0, 272.0]], ('199.00', 0.9858555793762207)], [[[120.0, 268.0], [157.0, 270.0], [156.0, 285.0], [119.0, 282.0]], ('Platter', 0.9382554292678833)], [[[48.0, 294.0], [73.0, 294.0], [73.0, 305.0], [48.0, 305.0]], ('ITEMS', 0.9810602068901062)], [[[45.0, 304.0], [92.0, 304.0], [92.0, 318.0], [45.0, 318.0]], ('SUB TOTAL', 0.862077534198761)], [[[157.0, 304.0], [218.0, 304.0], [218.0, 318.0], [157.0, 318.0]], ('RS.2.424.00', 0.9030455946922302)], [[[210.0, 295.0], [216.0, 295.0], [216.0, 304.0], [210.0, 304.0]], ('9', 0.5346853137016296)], [[[45.0, 316.0], [217.0, 316.0], [217.0, 330.0], [45.0, 330.0]], ('S.Charge 0ptona110.00Rs.242.40', 0.8953057527542114)], [[[45.0, 330.0], [95.0, 330.0], [95.0, 341.0], [45.0, 341.0]], ('SOSTO2.50%', 0.8703815340995789)], [[[171.0, 328.0], [218.0, 328.0], [218.0, 343.0], [171.0, 343.0]], ('Rs.66.66', 0.8830625414848328)], [[[44.0, 341.0], [95.0, 341.0], [95.0, 355.0], [44.0, 355.0]], ('CGST2.50%', 0.918756902217865)], [[[171.0, 341.0], [218.0, 341.0], [218.0, 355.0], [171.0, 355.0]], ('Rs.66.66', 0.9362832307815552)], [[[44.0, 353.0], [91.0, 353.0], [91.0, 367.0], [44.0, 367.0]], ('ROUND-OFF', 0.9610738754272461)], [[[175.0, 350.0], [219.0, 353.0], [218.0, 368.0], [175.0, 365.0]], ('Rs.8.28', 0.8685164451599121)], [[[44.0, 374.0], [99.0, 377.0], [99.0, 391.0], [43.0, 389.0]], ('RAND TOTAL', 0.8386111259460449)], [[[156.0, 376.0], [220.0, 378.0], [220.0, 392.0], [155.0, 390.0]], ('Rs.2.800.00', 0.9506136178970337)], [[[46.0, 395.0], [101.0, 399.0], [100.0, 412.0], [45.0, 409.0]], ('BALANCE ANT', 0.9012165665626526)], [[[157.0, 402.0], [219.0, 402.0], [219.0, 413.0], [157.0, 413.0]], ('Rs.2.800.00', 0.9582505822181702)], [[[87.0, 420.0], [182.0, 424.0], [181.0, 438.0], [86.0, 434.0]], ('Staff kkit Kumar', 0.8568856716156006)], [[[69.0, 431.0], [195.0, 432.0], [195.0, 446.0], [69.0, 445.0]], ('Thanks For Your Visit', 0.8803369402885437)]]
{"store_name": "Jungle Jamboree", "store_addr": "UNITOF:FUTOMICDINERSLLP.", "telephone": "011-45026500,011-45026800", "date": "Tuesday,March27th2018", "time": "7:51pm", "subtotal": "2,424.00", "tax": "66.66 66.66", "total": "2,800.00 2,800.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Platter", "item_value": "750.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AssortedPastrias", "item_value": "475.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Nos-Kingoffruits", "item_value": "425.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Nos-ChocolateOreo", "item_value": "125.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Nos-AppleMojitos", "item_value": "300.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JungleeHandtKukkad", "item_value": "150.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JalpartFishTikka", "item_value": "199.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "Guests:4", "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
[[[[52.0, 57.0], [200.0, 51.0], [201.0, 86.0], [53.0, 92.0]], ('DisNEpPARKS', 0.784136950969696)], [[[74.0, 92.0], [180.0, 87.0], [180.0, 100.0], [74.0, 105.0]], ('LET THE MEMORIES BEGIN', 0.8229299187660217)], [[[85.0, 107.0], [165.0, 104.0], [165.0, 117.0], [85.0, 120.0]], ('Crystal Palace', 0.9483569264411926)], [[[80.0, 117.0], [167.0, 113.0], [167.0, 127.0], [80.0, 131.0]], ('Store Number 322', 0.9454565048217773)], [[[54.0, 129.0], [194.0, 124.0], [195.0, 137.0], [55.0, 142.0]], ('Lake Buena Vista, FL 32830', 0.8749250769615173)], [[[12.0, 166.0], [103.0, 166.0], [103.0, 179.0], [12.0, 179.0]], ('CAST MEMBERCher', 0.9570173621177673)], [[[156.0, 164.0], [242.0, 162.0], [242.0, 173.0], [156.0, 175.0]], ('TABLENUMBER64', 0.9421154260635376)], [[[11.0, 177.0], [107.0, 174.0], [108.0, 188.0], [11.0, 191.0]], ('CHECK NUMBER2-46', 0.9378276467323303)], [[[164.0, 174.0], [244.0, 173.0], [244.0, 184.0], [164.0, 185.0]], ('GUESTCOUNT4', 0.9243203997612)], [[[43.0, 224.0], [189.0, 222.0], [189.0, 233.0], [44.0, 235.0]], ('xxxxxxx Stored Orcer xxxxxxx', 0.7727276086807251)], [[[53.0, 243.0], [144.0, 243.0], [144.0, 256.0], [53.0, 256.0]], ('AdultBreakfast', 0.9452444911003113)], [[[198.0, 241.0], [229.0, 241.0], [229.0, 255.0], [198.0, 255.0]], ('53.98', 0.9899688959121704)], [[[54.0, 255.0], [130.0, 255.0], [130.0, 267.0], [54.0, 267.0]], ('KM-Breaktast', 0.9654560685157776)], [[[199.0, 253.0], [229.0, 253.0], [229.0, 264.0], [199.0, 264.0]], ('29.98', 0.9927422404289246)], [[[55.0, 274.0], [97.0, 274.0], [97.0, 285.0], [55.0, 285.0]], ('SUBTOTAL', 0.9921261072158813)], [[[199.0, 272.0], [230.0, 272.0], [230.0, 286.0], [199.0, 286.0]], ('83.96', 0.9043130874633789)], [[[56.0, 284.0], [74.0, 284.0], [74.0, 295.0], [56.0, 295.0]], ('TAX', 0.9736053347587585)], [[[202.0, 284.0], [230.0, 284.0], [230.0, 295.0], [202.0, 295.0]], ('5.46', 0.8794508576393127)], [[[56.0, 295.0], [109.0, 295.0], [109.0, 306.0], [56.0, 306.0]], ('AMOUNT DUE', 0.9457507133483887)], [[[201.0, 294.0], [230.0, 294.0], [230.0, 305.0], [201.0, 305.0]], ('89.42', 0.9817278981208801)], [[[15.0, 316.0], [85.0, 313.0], [85.0, 327.0], [15.0, 330.0]], ('Suggested Tp', 0.9206300377845764)], [[[16.0, 325.0], [71.0, 327.0], [71.0, 338.0], [16.0, 336.0]], ('Percentage', 0.9929400682449341)], [[[226.0, 320.0], [248.0, 325.0], [245.0, 340.0], [223.0, 336.0]], ('Tip', 0.9079306721687317)], [[[56.0, 336.0], [75.0, 336.0], [75.0, 348.0], [56.0, 348.0]], ('18%', 0.9778874516487122)], [[[217.0, 334.0], [247.0, 334.0], [247.0, 349.0], [217.0, 349.0]], ('15.11', 0.9925392270088196)], [[[56.0, 346.0], [75.0, 346.0], [75.0, 358.0], [56.0, 358.0]], ('20%', 0.989093005657196)], [[[37.0, 377.0], [59.0, 377.0], [59.0, 389.0], [37.0, 389.0]], ('Tip:', 0.971789538860321)], [[[48.0, 396.0], [210.0, 397.0], [209.0, 410.0], [48.0, 409.0]], ('Not included witn Dining Plan)', 0.8824787139892578)], [[[38.0, 427.0], [72.0, 427.0], [72.0, 441.0], [38.0, 441.0]], ('Total:', 0.9758448600769043)]]
{"store_name": "DISNEYPARKS CrystalPalace", "store_addr": "LakeBuenaVista.FL32830", "telephone": "", "date": "", "time": "", "subtotal": "83.96", "tax": "5.46", "total": "89.42", "ignore": "", "tips": "15.11 16.79", "line_items": [{"item_key": "", "item_name": "Adult-Breakfast", "item_value": "53.98", "item_quantity": "1"}, {"item_key": "", "item_name": "KM-Breakfast", "item_value": "29.98", "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
[[[[126.0, 0.0], [362.0, 12.0], [361.0, 35.0], [125.0, 22.0]], ('NIKKIBEACH', 0.9943027496337891)], [[[182.0, 27.0], [286.0, 33.0], [284.0, 53.0], [181.0, 48.0]], ('ST.TROPEZ', 0.9913338422775269)], [[[123.0, 45.0], [345.0, 56.0], [344.0, 76.0], [122.0, 65.0]], ('RTE DE LEPI RAMATUELLE 8335O', 0.8601359724998474)], [[[124.0, 65.0], [343.0, 67.0], [343.0, 84.0], [124.0, 82.0]], ('TEL0494798204', 0.9596271514892578)], [[[165.0, 83.0], [305.0, 83.0], [305.0, 96.0], [165.0, 96.0]], ('WW.NIKKIBEACH.COM', 0.924968957901001)], [[[73.0, 107.0], [135.0, 107.0], [135.0, 128.0], [73.0, 128.0]], ('TABLE', 0.99609375)], [[[191.0, 105.0], [218.0, 107.0], [216.0, 129.0], [189.0, 126.0]], ('34', 0.9979146122932434)], [[[84.0, 126.0], [223.0, 126.0], [223.0, 146.0], [84.0, 146.0]], ('16 COUUERTMANU', 0.9253982901573181)], [[[97.0, 169.0], [276.0, 169.0], [276.0, 188.0], [97.0, 188.0]], ('2 BATEAU CAVIAR GM 98P', 0.9018585085868835)], [[[344.0, 166.0], [405.0, 168.0], [404.0, 190.0], [343.0, 187.0]], ('1440.00', 0.9901614785194397)], [[[97.0, 190.0], [205.0, 190.0], [205.0, 207.0], [97.0, 207.0]], ('6BELUGA 125G', 0.951877772808075)], [[[339.0, 188.0], [405.0, 188.0], [405.0, 209.0], [339.0, 209.0]], ('13020.00', 0.9949990510940552)], [[[95.0, 209.0], [245.0, 209.0], [245.0, 229.0], [95.0, 229.0]], ('1 MATHU.RSE DOM.PE', 0.9408167600631714)], [[[339.0, 209.0], [407.0, 209.0], [407.0, 229.0], [339.0, 229.0]], ('50000.00', 0.9980349540710449)], [[[95.0, 231.0], [244.0, 231.0], [244.0, 248.0], [95.0, 248.0]], ('2JERO DOM PE ROSE', 0.923451840877533)], [[[340.0, 229.0], [408.0, 229.0], [408.0, 250.0], [340.0, 250.0]], ('40000.00', 0.9956277012825012)], [[[94.0, 252.0], [222.0, 252.0], [222.0, 271.0], [94.0, 271.0]], ('1 LANGOUSTE 3KG', 0.9324236512184143)], [[[355.0, 250.0], [409.0, 250.0], [409.0, 271.0], [355.0, 271.0]], ('810.00', 0.975853443145752)], [[[93.0, 272.0], [182.0, 272.0], [182.0, 293.0], [93.0, 293.0]], ('7 LOUP 1KG', 0.9144657254219055)], [[[351.0, 271.0], [410.0, 271.0], [410.0, 292.0], [351.0, 292.0]], ('1050.00', 0.9961585402488708)], [[[92.0, 295.0], [229.0, 293.0], [230.0, 313.0], [92.0, 316.0]], ('5 LANGOUSTE 800G', 0.9167559742927551)], [[[350.0, 293.0], [411.0, 291.0], [411.0, 312.0], [351.0, 315.0]], ('1080.00', 0.954874575138092)], [[[92.0, 316.0], [156.0, 316.0], [156.0, 337.0], [92.0, 337.0]], ('4 EUIAN', 0.8605736494064331)], [[[367.0, 313.0], [412.0, 313.0], [412.0, 336.0], [367.0, 336.0]], ('40.00', 0.9927635192871094)], [[[91.0, 337.0], [163.0, 337.0], [163.0, 358.0], [91.0, 358.0]], ('2BADOIT', 0.8287729620933533)], [[[368.0, 336.0], [414.0, 336.0], [414.0, 357.0], [368.0, 357.0]], ('20.00', 0.9959710836410522)], [[[90.0, 361.0], [188.0, 359.0], [189.0, 380.0], [90.0, 382.0]], ('2 COCA COLA', 0.9137991070747375)], [[[368.0, 357.0], [414.0, 357.0], [414.0, 379.0], [368.0, 379.0]], ('20.00', 0.9916292428970337)], [[[91.0, 384.0], [194.0, 384.0], [194.0, 404.0], [91.0, 404.0]], ('2 COCA LIGHT', 0.9168186187744141)], [[[369.0, 380.0], [415.0, 380.0], [415.0, 402.0], [369.0, 402.0]], ('20.00', 0.9956232309341431)], [[[89.0, 406.0], [139.0, 406.0], [139.0, 429.0], [89.0, 429.0]], ('3 THE', 0.9173669815063477)], [[[369.0, 402.0], [416.0, 402.0], [416.0, 425.0], [369.0, 425.0]], ('12.00', 0.9950814247131348)], [[[88.0, 429.0], [187.0, 427.0], [188.0, 450.0], [88.0, 452.0]], ('2 CAPPUCINO', 0.9123305678367615)], [[[371.0, 426.0], [417.0, 426.0], [417.0, 448.0], [371.0, 448.0]], ('12.00', 0.9955903887748718)], [[[60.0, 469.0], [406.0, 466.0], [406.0, 489.0], [61.0, 492.0]], ('TOTAL107524.00', 0.9402832984924316)]]
{"store_name": "NIKKIBEACH", "store_addr": "RTEDEL'EPI,RAMATUELLE83350", "telephone": "0494798204", "date": "", "time": "", "subtotal": "", "tax": "", "total": "107524.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BATEAUCAUIARGM98P", "item_value": "1440.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BELUGA125G", "item_value": "13020.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MATHU.RSEDOM.PE", "item_value": "50000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JERODOMPEROSE", "item_value": "40000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LANGOUSTE3KG", "item_value": "810.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LOUP1KG", "item_value": "1050.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LANGOUSTE800G", "item_value": "1080.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EVIAN", "item_value": "40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BADOIT", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COCACOLA", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COCALIGHT", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "THE", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CAPPUCINO", "item_value": "12.00", "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
[[[[507.0, 395.0], [1862.0, 349.0], [1865.0, 428.0], [510.0, 473.0]], ('CARNATICCAFE', 0.9965389370918274)], [[[458.0, 484.0], [1664.0, 441.0], [1666.0, 509.0], [461.0, 552.0]], ('A UNIT OF KRISHNARPAN)', 0.918198823928833)], [[[510.0, 569.0], [1879.0, 512.0], [1882.0, 584.0], [513.0, 640.0]], ('1ERTAXN0.AFXPU2749HSD001', 0.9444713592529297)], [[[656.0, 654.0], [1667.0, 611.0], [1670.0, 682.0], [659.0, 725.0]], ('TIN:N0:-07860407399', 0.9683597683906555)], [[[607.0, 746.0], [1709.0, 696.0], [1712.0, 767.0], [611.0, 817.0]], ('.CASHBILL', 0.8883121013641357)], [[[792.0, 824.0], [2348.0, 761.0], [2352.0, 839.0], [795.0, 902.0]], ('KOTS 01 CVR 01WAITER00', 0.8900051116943359)], [[[263.0, 852.0], [828.0, 818.0], [833.0, 899.0], [268.0, 933.0]], ('TABLE0006', 0.9834694266319275)], [[[1452.0, 888.0], [2348.0, 852.0], [2352.0, 931.0], [1456.0, 967.0]], ('DATE:-27-02-2014', 0.9766986966133118)], [[[200.0, 943.0], [661.0, 920.0], [666.0, 1002.0], [205.0, 1025.0]], ('NO 008804', 0.9615973234176636)], [[[1624.0, 1064.0], [1853.0, 1064.0], [1853.0, 1153.0], [1624.0, 1153.0]], ('RATE', 0.9985042810440063)], [[[2009.0, 1055.0], [2355.0, 1043.0], [2359.0, 1128.0], [2012.0, 1140.0]], ('AMOUNT', 0.9972503781318665)], [[[1177.0, 1073.0], [1359.0, 1063.0], [1365.0, 1168.0], [1183.0, 1178.0]], ('QTY', 0.9799461364746094)], [[[204.0, 1123.0], [770.0, 1101.0], [773.0, 1179.0], [207.0, 1201.0]], ('DESCRIPTION', 0.9973270297050476)], [[[2016.0, 1245.0], [2359.0, 1233.0], [2362.0, 1318.0], [2019.0, 1330.0]], ('120.00', 0.991892397403717)], [[[1244.0, 1269.0], [1848.0, 1250.0], [1851.0, 1332.0], [1247.0, 1351.0]], ('1.00120.00', 0.9854846000671387)], [[[197.0, 1300.0], [466.0, 1287.0], [471.0, 1376.0], [201.0, 1388.0]], ('PADDU', 0.9910410046577454)], [[[2019.0, 1340.0], [2362.0, 1329.0], [2366.0, 1414.0], [2022.0, 1425.0]], ('110.00', 0.994800865650177)], [[[1247.0, 1364.0], [1848.0, 1346.0], [1851.0, 1427.0], [1250.0, 1446.0]], ('1.00110.00', 0.9908781051635742)], [[[201.0, 1391.0], [673.0, 1376.0], [675.0, 1458.0], [204.0, 1473.0]], ('RAVA IDLI', 0.9659752249717712)], [[[2027.0, 1435.0], [2368.0, 1435.0], [2368.0, 1516.0], [2027.0, 1516.0]], ('130.00', 0.9896700382232666)], [[[1247.0, 1456.0], [1855.0, 1437.0], [1858.0, 1519.0], [1250.0, 1538.0]], ('1.00130.00', 0.9765769243240356)], [[[208.0, 1483.0], [979.0, 1465.0], [981.0, 1543.0], [210.0, 1561.0]], ('RICE OF THE DAY', 0.9073331356048584)], [[[1561.0, 1530.0], [1864.0, 1530.0], [1864.0, 1625.0], [1561.0, 1625.0]], ('00', 0.9367179870605469)], [[[2023.0, 1531.0], [2370.0, 1523.0], [2372.0, 1608.0], [2025.0, 1616.0]], ('130.00', 0.9923393130302429)], [[[1244.0, 1544.0], [1489.0, 1536.0], [1493.0, 1624.0], [1247.0, 1633.0]], ('2.00', 0.9668202996253967)], [[[215.0, 1578.0], [882.0, 1560.0], [884.0, 1631.0], [217.0, 1650.0]], ('RASAM WPAPAD', 0.9719129204750061)], [[[1560.0, 1636.0], [1858.0, 1624.0], [1861.0, 1709.0], [1564.0, 1721.0]], ('60.00', 0.9875949621200562)], [[[2023.0, 1629.0], [2373.0, 1618.0], [2376.0, 1703.0], [2026.0, 1714.0]], ('120.00', 0.9835007190704346)], [[[1252.0, 1639.0], [1492.0, 1639.0], [1492.0, 1724.0], [1252.0, 1724.0]], ('2.00', 0.9952960014343262)], [[[204.0, 1663.0], [788.0, 1648.0], [790.0, 1730.0], [207.0, 1745.0]], ('BUTTER MILK', 0.9710241556167603)], [[[2027.0, 1724.0], [2377.0, 1716.0], [2379.0, 1798.0], [2029.0, 1806.0]], ('130.00', 0.9868542551994324)], [[[1255.0, 1734.0], [1856.0, 1723.0], [1857.0, 1808.0], [1256.0, 1819.0]], ('1.00130.00', 0.9672526121139526)], [[[201.0, 1758.0], [990.0, 1744.0], [991.0, 1815.0], [203.0, 1830.0]], ('MALLESHWARAM 18', 0.9653143286705017)], [[[1574.0, 1823.0], [1859.0, 1815.0], [1861.0, 1900.0], [1577.0, 1908.0]], ('85.00', 0.9933401942253113)], [[[2083.0, 1816.0], [2378.0, 1816.0], [2378.0, 1897.0], [2083.0, 1897.0]], ('85.00', 0.992950439453125)], [[[1259.0, 1826.0], [1485.0, 1826.0], [1485.0, 1911.0], [1259.0, 1911.0]], ('1.00', 0.9821507334709167)], [[[201.0, 1846.0], [785.0, 1839.0], [786.0, 1911.0], [202.0, 1918.0]], ('KESARI BATH', 0.9542228579521179)], [[[1262.0, 1921.0], [1478.0, 1921.0], [1478.0, 1996.0], [1262.0, 1996.0]], ('1.00', 0.9949129819869995)], [[[1579.0, 1918.0], [1864.0, 1918.0], [1864.0, 1999.0], [1579.0, 1999.0]], ('60.00', 0.9919530749320984)], [[[2086.0, 1914.0], [2382.0, 1914.0], [2382.0, 1996.0], [2086.0, 1996.0]], ('60.00', 0.9686748385429382)], [[[194.0, 1939.0], [889.0, 1924.0], [891.0, 2005.0], [196.0, 2020.0]], ('FILTER COFFEE', 0.9745842218399048)], [[[1310.0, 2007.0], [1699.0, 1999.0], [1701.0, 2094.0], [1312.0, 2102.0]], ('Q=10.00', 0.9368521571159363)], [[[723.0, 2017.0], [1059.0, 2009.0], [1061.0, 2097.0], [725.0, 2105.0]], ('ITM=8', 0.9783605337142944)], [[[2031.0, 2009.0], [2382.0, 2009.0], [2382.0, 2094.0], [2031.0, 2094.0]], ('885.00', 0.9938251376152039)], [[[198.0, 2023.0], [570.0, 2023.0], [570.0, 2105.0], [198.0, 2105.0]], ('SUB_TOT', 0.9857097864151001)], [[[195.0, 2210.0], [365.0, 2210.0], [365.0, 2302.0], [195.0, 2302.0]], ('VAT', 0.9963555335998535)], [[[842.0, 2207.0], [1377.0, 2207.0], [1377.0, 2288.0], [842.0, 2288.0]], ('@12.50%ON', 0.943749725818634)], [[[1537.0, 2207.0], [1871.0, 2207.0], [1871.0, 2288.0], [1537.0, 2288.0]], ('885.00', 0.9883535504341125)], [[[2038.0, 2203.0], [2389.0, 2203.0], [2389.0, 2288.0], [2038.0, 2288.0]], ('110.63', 0.9662959575653076)], [[[839.0, 2295.0], [1377.0, 2302.0], [1376.0, 2384.0], [838.0, 2376.0]], ('4.90%ON', 0.9395731091499329)], [[[194.0, 2309.0], [575.0, 2298.0], [578.0, 2383.0], [197.0, 2394.0]], ('SRVTAX', 0.989307165145874)], [[[1537.0, 2305.0], [1871.0, 2305.0], [1871.0, 2387.0], [1537.0, 2387.0]], ('885.00', 0.9949882626533508)], [[[2100.0, 2309.0], [2392.0, 2309.0], [2392.0, 2394.0], [2100.0, 2394.0]], ('43.37', 0.9698302149772644)], [[[842.0, 2390.0], [1325.0, 2397.0], [1324.0, 2479.0], [841.0, 2471.0]], ('ROUNDED)', 0.9198621511459351)], [[[194.0, 2401.0], [524.0, 2393.0], [526.0, 2478.0], [196.0, 2486.0]], ('BL.TOT', 0.9426424503326416)], [[[198.0, 2493.0], [625.0, 2485.0], [626.0, 2567.0], [199.0, 2574.0]], ('CASH', 0.9978469610214233)], [[[1608.0, 2488.0], [2386.0, 2503.0], [2384.0, 2595.0], [1606.0, 2580.0]], ('1039.00', 0.9838780164718628)], [[[209.0, 2587.0], [643.0, 2587.0], [643.0, 2659.0], [209.0, 2659.0]], ('KOT-NO', 0.955028235912323)], [[[622.0, 2584.0], [842.0, 2584.0], [842.0, 2655.0], [622.0, 2655.0]], ('8860', 0.9949347972869873)], [[[199.0, 2669.0], [1381.0, 2679.0], [1380.0, 2771.0], [198.0, 2761.0]], ('TEL:N0-011-41008629/30', 0.9841427206993103)], [[[198.0, 2768.0], [376.0, 2768.0], [376.0, 2859.0], [198.0, 2859.0]], ('C6', 0.9654849767684937)], [[[1055.0, 2781.0], [1506.0, 2792.0], [1504.0, 2874.0], [1053.0, 2862.0]], ('14:48:46', 0.9686391353607178)], [[[1458.0, 2787.0], [1990.0, 2799.0], [1988.0, 2891.0], [1456.0, 2879.0]], ('M/C NO.', 0.9086701273918152)], [[[2340.0, 2802.0], [2427.0, 2802.0], [2427.0, 2900.0], [2340.0, 2900.0]], ('0', 0.7254003286361694)]]
{"store_name": "CARNATICCAFE", "store_addr": "", "telephone": "N0-011-41008629/30", "date": "-27-02-2014", "time": "14:48:46", "subtotal": "885.00 885.00 885.00", "tax": "43.37 110.63", "total": "1039.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PADDU", "item_value": "120.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RAVAIDLI", "item_value": "110.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RICEOFTHEDAY", "item_value": "130.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RASAMW.PAPAD", "item_value": "130.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BUTTERMILK", "item_value": "120.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MALLESHWARAM18", "item_value": "130.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KESARIBATH", "item_value": "85.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FILTERCOFFEE", "item_value": "60.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "M/CNO.0", "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
[[[[124.0, 47.0], [174.0, 47.0], [174.0, 58.0], [124.0, 58.0]], ('Grill', 0.959153950214386)], [[[97.0, 57.0], [201.0, 60.0], [200.0, 74.0], [97.0, 71.0]], ('Marina at Keppe1 Bay', 0.944841206073761)], [[[101.0, 71.0], [198.0, 72.0], [198.0, 86.0], [101.0, 85.0]], ('2Keppe1 Bay Vista', 0.9156902432441711)], [[[106.0, 83.0], [192.0, 84.0], [192.0, 98.0], [106.0, 97.0]], ('SINGAPORE 096382', 0.9514358639717102)], [[[112.0, 96.0], [188.0, 97.0], [188.0, 111.0], [112.0, 110.0]], ('Tel:67760777', 0.952836275100708)], [[[109.0, 111.0], [191.0, 111.0], [191.0, 124.0], [109.0, 124.0]], ('www.prive.com.sg', 0.9242570996284485)], [[[109.0, 123.0], [188.0, 123.0], [188.0, 135.0], [109.0, 135.0]], ('GST200716810H', 0.9866575002670288)], [[[63.0, 145.0], [240.0, 147.0], [240.0, 160.0], [63.0, 158.0]], ('14/09/2012 20:20 RCA1 BILL:B068654', 0.9032168388366699)], [[[63.0, 159.0], [202.0, 159.0], [202.0, 172.0], [63.0, 172.0]], ('WAITERCINDY CHEN 8 PAX2', 0.9168652296066284)], [[[64.0, 170.0], [95.0, 172.0], [94.0, 184.0], [63.0, 182.0]], ('18L:2', 0.8312848210334778)], [[[68.0, 192.0], [190.0, 193.0], [190.0, 207.0], [68.0, 206.0]], ('2FIJI MNATER.1000ML', 0.853126049041748)], [[[228.0, 193.0], [258.0, 193.0], [258.0, 207.0], [228.0, 207.0]], ('20.00', 0.9954060316085815)], [[[69.0, 207.0], [158.0, 207.0], [158.0, 217.0], [69.0, 217.0]], ('1HARMONY RIBEYE', 0.9547134041786194)], [[[229.0, 203.0], [259.0, 206.0], [258.0, 221.0], [228.0, 218.0]], ('58.00', 0.9910070300102234)], [[[78.0, 218.0], [176.0, 218.0], [176.0, 231.0], [78.0, 231.0]], ('ROSEMARY SAUCE', 0.9328478574752808)], [[[233.0, 218.0], [260.0, 218.0], [260.0, 232.0], [233.0, 232.0]], ('3.00', 0.996799886226654)], [[[82.0, 231.0], [160.0, 231.0], [160.0, 244.0], [82.0, 244.0]], ('JOSPER SEABASS', 0.9718828797340393)], [[[230.0, 231.0], [260.0, 231.0], [260.0, 245.0], [230.0, 245.0]], ('42.00', 0.9938662648200989)], [[[69.0, 248.0], [75.0, 248.0], [75.0, 253.0], [69.0, 253.0]], ('1', 0.6480847001075745)], [[[82.0, 244.0], [176.0, 244.0], [176.0, 257.0], [82.0, 257.0]], ('GRILLED ASPARAGUS', 0.9786249995231628)], [[[235.0, 245.0], [260.0, 245.0], [260.0, 257.0], [235.0, 257.0]], ('8.00', 0.9955835938453674)], [[[83.0, 259.0], [190.0, 259.0], [190.0, 269.0], [83.0, 269.0]], ('TWICE BAKED POTATOES', 0.9434248805046082)], [[[235.0, 258.0], [260.0, 258.0], [260.0, 270.0], [235.0, 270.0]], ('8.00', 0.9781321287155151)], [[[80.0, 271.0], [148.0, 271.0], [148.0, 282.0], [80.0, 282.0]], ('CAESAR SALAD', 0.9681499600410461)], [[[231.0, 270.0], [261.0, 270.0], [261.0, 285.0], [231.0, 285.0]], ('15.00', 0.9934738874435425)], [[[68.0, 286.0], [80.0, 286.0], [80.0, 294.0], [68.0, 294.0]], ('1', 0.8202765583992004)], [[[79.0, 285.0], [153.0, 285.0], [153.0, 296.0], [79.0, 296.0]], ('JAMON IBERICO', 0.9618138670921326)], [[[229.0, 284.0], [261.0, 284.0], [261.0, 298.0], [229.0, 298.0]], ('32.00', 0.9940940141677856)], [[[76.0, 297.0], [185.0, 297.0], [185.0, 309.0], [76.0, 309.0]], ('RWO40 BAROLO GOV07', 0.8802761435508728)], [[[226.0, 297.0], [260.0, 297.0], [260.0, 310.0], [226.0, 310.0]], ('145.00', 0.9955973625183105)], [[[76.0, 309.0], [112.0, 306.0], [113.0, 320.0], [77.0, 323.0]], ('SUBTTL', 0.9910700917243958)], [[[225.0, 310.0], [259.0, 310.0], [259.0, 321.0], [225.0, 321.0]], ('331.00', 0.9949641823768616)], [[[79.0, 320.0], [139.0, 320.0], [139.0, 334.0], [79.0, 334.0]], ('10%SVC CHG', 0.8834506273269653)], [[[228.0, 321.0], [259.0, 321.0], [259.0, 335.0], [228.0, 335.0]], ('33.10', 0.9902450442314148)], [[[80.0, 333.0], [113.0, 333.0], [113.0, 344.0], [80.0, 344.0]], ('7%GST', 0.9470327496528625)], [[[228.0, 332.0], [259.0, 332.0], [259.0, 346.0], [228.0, 346.0]], ('25.49', 0.9885395765304565)]]
{"store_name": "Grill", "store_addr": "2KeppelBayVista SINGAPORE098382", "telephone": "67760777", "date": "14/09/2012", "time": "20:20", "subtotal": "331.00", "tax": "25.49", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FIJIMMATER.1000ML", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HARMDNYRIBEYE", "item_value": "58.00", "item_quantity": "1"}, {"item_key": "", "item_name": "**ROSEMARYSAUCE", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JOSPERSEABASS", "item_value": "42.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GRILLEDASPARAGUS", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TWICEBAKEDPOTATOES", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CAESARSALAD", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JAMONIBERICO", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RN040BAROLOGDV'07", "item_value": "145.00", "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
[[[[181.0, 28.0], [246.0, 31.0], [244.0, 66.0], [179.0, 63.0]], ('57', 0.9541297554969788)], [[[137.0, 72.0], [296.0, 74.0], [296.0, 92.0], [137.0, 90.0]], ('One World Market -Indiana', 0.9263237714767456)], [[[136.0, 85.0], [302.0, 88.0], [302.0, 106.0], [135.0, 102.0]], ('8466 Cast leton Corner Drive', 0.9305121302604675)], [[[94.0, 117.0], [188.0, 123.0], [187.0, 140.0], [93.0, 134.0]], ('Ticket #1035057', 0.9506884813308716)], [[[177.0, 111.0], [253.0, 116.0], [253.0, 130.0], [177.0, 125.0]], ('317-842-3442', 0.9918646812438965)], [[[92.0, 131.0], [175.0, 135.0], [174.0, 152.0], [91.0, 148.0]], ('Stat ion:10701', 0.9133511781692505)], [[[285.0, 127.0], [349.0, 125.0], [350.0, 141.0], [285.0, 142.0]], ('UserPOS1', 0.9473248720169067)], [[[91.0, 144.0], [218.0, 149.0], [218.0, 166.0], [90.0, 162.0]], ('3/23/20186:30:06PM', 0.950120210647583)], [[[256.0, 142.0], [350.0, 138.0], [351.0, 153.0], [256.0, 156.0]], ('Sa les Rep POS1', 0.9046328067779541)], [[[89.0, 171.0], [119.0, 174.0], [118.0, 189.0], [88.0, 186.0]], ('Item', 0.9927673935890198)], [[[212.0, 178.0], [237.0, 178.0], [237.0, 193.0], [212.0, 193.0]], ('Qty', 0.9922850728034973)], [[[249.0, 178.0], [285.0, 181.0], [283.0, 196.0], [248.0, 194.0]], ('Price', 0.9930791854858398)], [[[94.0, 189.0], [166.0, 189.0], [166.0, 200.0], [94.0, 200.0]], ('Description', 0.9808093905448914)], [[[318.0, 180.0], [352.0, 180.0], [352.0, 195.0], [318.0, 195.0]], ('Total', 0.9906401634216309)], [[[88.0, 213.0], [146.0, 213.0], [146.0, 227.0], [88.0, 227.0]], ('107100041', 0.9978344440460205)], [[[92.0, 228.0], [158.0, 228.0], [158.0, 239.0], [92.0, 239.0]], ('INARI 2PCS', 0.9515174627304077)], [[[238.0, 221.0], [247.0, 221.0], [247.0, 233.0], [238.0, 233.0]], ('1', 0.9743366837501526)], [[[273.0, 221.0], [304.0, 221.0], [304.0, 237.0], [273.0, 237.0]], ('2.00', 0.9973266124725342)], [[[324.0, 223.0], [355.0, 223.0], [355.0, 238.0], [324.0, 238.0]], ('2.00', 0.9931123852729797)], [[[87.0, 240.0], [145.0, 240.0], [145.0, 254.0], [87.0, 254.0]], ('107100041', 0.9977611899375916)], [[[89.0, 254.0], [158.0, 254.0], [158.0, 268.0], [89.0, 268.0]], ('INARI 2PCS', 0.9414838552474976)], [[[238.0, 248.0], [247.0, 248.0], [247.0, 260.0], [238.0, 260.0]], ('1', 0.9914310574531555)], [[[274.0, 249.0], [304.0, 249.0], [304.0, 264.0], [274.0, 264.0]], ('2.00', 0.9966318607330322)], [[[325.0, 251.0], [356.0, 251.0], [356.0, 266.0], [325.0, 266.0]], ('2.00', 0.9971976280212402)], [[[84.0, 266.0], [145.0, 268.0], [144.0, 283.0], [83.0, 281.0]], ('107100069', 0.997539222240448)], [[[87.0, 278.0], [241.0, 287.0], [240.0, 305.0], [86.0, 296.0]], ("TODAY'S SPECIAL KITCHEN", 0.9570238590240479)], [[[275.0, 276.0], [305.0, 279.0], [303.0, 295.0], [274.0, 292.0]], ('9.95', 0.9976191520690918)], [[[326.0, 279.0], [356.0, 279.0], [356.0, 294.0], [326.0, 294.0]], ('9.95', 0.9945927262306213)], [[[80.0, 295.0], [125.0, 298.0], [124.0, 313.0], [79.0, 310.0]], ('500115', 0.9971272349357605)], [[[213.0, 300.0], [247.0, 305.0], [245.0, 320.0], [211.0, 315.0]], ('1.342', 0.9934791326522827)], [[[86.0, 312.0], [207.0, 316.0], [207.0, 330.0], [85.0, 326.0]], ('SALMON HEAD & BONE', 0.9285094738006592)], [[[276.0, 306.0], [305.0, 306.0], [305.0, 321.0], [276.0, 321.0]], ('1.99', 0.9956375956535339)], [[[327.0, 307.0], [357.0, 307.0], [357.0, 322.0], [327.0, 322.0]], ('2.67', 0.9963287711143494)], [[[78.0, 341.0], [135.0, 344.0], [134.0, 362.0], [77.0, 359.0]], ('Subtotal', 0.9926549196243286)], [[[79.0, 358.0], [103.0, 361.0], [101.0, 377.0], [77.0, 374.0]], ('Tax', 0.9952371716499329)], [[[324.0, 352.0], [359.0, 352.0], [359.0, 367.0], [324.0, 367.0]], ('16.62', 0.9943593144416809)], [[[328.0, 367.0], [360.0, 367.0], [360.0, 383.0], [328.0, 383.0]], ('1.26', 0.9927128553390503)], [[[76.0, 391.0], [114.0, 391.0], [114.0, 409.0], [76.0, 409.0]], ('Total', 0.9925402402877808)], [[[324.0, 396.0], [362.0, 396.0], [362.0, 410.0], [324.0, 410.0]], ('17.88', 0.9933368563652039)]]
{"store_name": "OneWorldMarket-Indiana", "store_addr": "8466CastletonCornerDrive Indianapolis,IN46250", "telephone": "317-842-3442", "date": "3/23/2018", "time": "6:30:06PM", "subtotal": "16.62", "tax": "1.26", "total": "17.88", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "INARI2PCS", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "INARI2PCS", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TODAY'SSPECIALKITCHEN", "item_value": "9.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SALMONHEAD&BONE", "item_value": "2.67", "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
[[[[134.0, 9.0], [263.0, 9.0], [263.0, 104.0], [134.0, 104.0]], ('M', 0.791754424571991)], [[[122.0, 108.0], [277.0, 104.0], [277.0, 128.0], [122.0, 132.0]], ("i'm lovin'it", 0.9448339939117432)], [[[83.0, 159.0], [300.0, 157.0], [300.0, 173.0], [83.0, 175.0]], ("McDonald's Hazel donk-West", 0.933796763420105)], [[[134.0, 175.0], [256.0, 175.0], [256.0, 189.0], [134.0, 189.0]], ('Haze1donk 5006', 0.9292120933532715)], [[[132.0, 190.0], [249.0, 191.0], [249.0, 208.0], [132.0, 207.0]], ('4836LZ BREDA', 0.9612229466438293)], [[[126.0, 209.0], [266.0, 209.0], [266.0, 223.0], [126.0, 223.0]], ('Te076-5961528', 0.9889663457870483)], [[[139.0, 242.0], [215.0, 242.0], [215.0, 259.0], [139.0, 259.0]], ('KASSABON', 0.9961967468261719)], [[[103.0, 258.0], [197.0, 260.0], [197.0, 278.0], [102.0, 276.0]], ('MFY side 1', 0.9277640581130981)], [[[19.0, 311.0], [342.0, 315.0], [342.0, 332.0], [19.0, 328.0]], ('#ORD10-REG3-27/10/2009 10:52:23', 0.9284012317657471)], [[[25.0, 328.0], [122.0, 331.0], [121.0, 349.0], [24.0, 346.0]], ('#Produkt', 0.9752969741821289)], [[[324.0, 334.0], [378.0, 334.0], [378.0, 352.0], [324.0, 352.0]], ('Totaal', 0.9969417452812195)], [[[34.0, 350.0], [158.0, 352.0], [157.0, 370.0], [33.0, 368.0]], ('1 Fanta groot', 0.9252099990844727)], [[[331.0, 353.0], [374.0, 353.0], [374.0, 372.0], [331.0, 372.0]], ('2.15', 0.9944674372673035)], [[[33.0, 368.0], [138.0, 372.0], [138.0, 390.0], [32.0, 386.0]], ('1 Hamburger', 0.9521051645278931)], [[[333.0, 372.0], [375.0, 372.0], [375.0, 390.0], [333.0, 390.0]], ('1.00', 0.99689120054245)], [[[31.0, 387.0], [167.0, 390.0], [166.0, 408.0], [30.0, 405.0]], ('1 Bitterballen', 0.9367055892944336)], [[[334.0, 391.0], [376.0, 391.0], [376.0, 410.0], [334.0, 410.0]], ('1.00', 0.9965792298316956)], [[[30.0, 407.0], [185.0, 411.0], [184.0, 429.0], [29.0, 425.0]], ('1 QuarterPounder', 0.9737571477890015)], [[[335.0, 411.0], [377.0, 411.0], [377.0, 429.0], [335.0, 429.0]], ('3.35', 0.9946094155311584)], [[[29.0, 426.0], [177.0, 430.0], [176.0, 451.0], [28.0, 447.0]], ('1 Chicago Works', 0.9383543133735657)], [[[335.0, 430.0], [378.0, 430.0], [378.0, 449.0], [335.0, 449.0]], ('3.35', 0.9948039650917053)], [[[8.0, 465.0], [261.0, 471.0], [261.0, 492.0], [8.0, 486.0]], ('Take-Out Totaal incl BTW', 0.9373685717582703)], [[[327.0, 470.0], [380.0, 470.0], [380.0, 491.0], [327.0, 491.0]], ('10.85', 0.9936767816543579)], [[[7.0, 487.0], [50.0, 489.0], [49.0, 508.0], [6.0, 506.0]], ('Euro', 0.9974621534347534)], [[[327.0, 491.0], [380.0, 491.0], [380.0, 512.0], [327.0, 512.0]], ('21.00', 0.9972249269485474)], [[[7.0, 505.0], [69.0, 511.0], [66.0, 533.0], [4.0, 527.0]], ('Change', 0.996954619884491)], [[[329.0, 511.0], [381.0, 511.0], [381.0, 533.0], [329.0, 533.0]], ('10.15', 0.9969339370727539)], [[[5.0, 547.0], [106.0, 553.0], [105.0, 574.0], [4.0, 568.0]], ('BTW bedrag', 0.9527357816696167)], [[[338.0, 552.0], [382.0, 552.0], [382.0, 574.0], [338.0, 574.0]], ('0.61', 0.9516074061393738)], [[[3.0, 589.0], [224.0, 595.0], [223.0, 616.0], [3.0, 610.0]], ('Bedankt voor uw bezoek', 0.9546137452125549)], [[[43.0, 615.0], [230.0, 617.0], [229.0, 634.0], [43.0, 632.0]], ('en graag tot ziens', 0.9504987001419067)]]
{"store_name": "Mcdonald'sHazeldonk-west", "store_addr": "Hazeldonk5006 4836LZBREDA", "telephone": "076-5961528", "date": "27/10/2009", "time": "10:52:23", "subtotal": "", "tax": "", "total": "10.85", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Fantagroot", "item_value": "3.35", "item_quantity": "1"}, {"item_key": "", "item_name": "Hamburger", "item_value": "3.35", "item_quantity": "1"}, {"item_key": "", "item_name": "Bitterballen", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Quarterpounder", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChicagoWorks", "item_value": "2.15", "item_quantity": "1"}, {"item_key": "#Produkt", "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
[[[[361.0, 142.0], [637.0, 142.0], [637.0, 178.0], [361.0, 178.0]], ('Banco de Bogota', 0.9505635499954224)], [[[1124.0, 154.0], [1405.0, 140.0], [1407.0, 182.0], [1126.0, 196.0]], ('Bancode Bogota', 0.9780563116073608)], [[[267.0, 201.0], [494.0, 197.0], [495.0, 226.0], [268.0, 230.0]], ('CAJERO NRO 02773', 0.9159479141235352)], [[[519.0, 199.0], [732.0, 197.0], [732.0, 227.0], [519.0, 229.0]], ('OPERACION:4410', 0.9718499183654785)], [[[1290.0, 206.0], [1503.0, 197.0], [1504.0, 227.0], [1291.0, 237.0]], ('OPERACION:6789', 0.9657612442970276)], [[[1036.0, 219.0], [1261.0, 206.0], [1263.0, 236.0], [1038.0, 249.0]], ('CAJERO NRO02773', 0.9294941425323486)], [[[268.0, 231.0], [502.0, 231.0], [502.0, 261.0], [268.0, 261.0]], ('FECHA:NOV/25/2016', 0.9728519320487976)], [[[532.0, 229.0], [732.0, 229.0], [732.0, 260.0], [532.0, 260.0]], ('HORA:1120:45', 0.9355679154396057)], [[[1300.0, 240.0], [1502.0, 229.0], [1504.0, 259.0], [1302.0, 271.0]], ('HORA10:34:12', 0.9269677996635437)], [[[1038.0, 251.0], [1274.0, 240.0], [1275.0, 270.0], [1040.0, 281.0]], ('FECHA:DIC/21/2016', 0.9727271795272827)], [[[410.0, 300.0], [604.0, 300.0], [604.0, 325.0], [410.0, 325.0]], ('BANCO DE BOGOTA', 0.927681028842926)], [[[1183.0, 312.0], [1379.0, 302.0], [1381.0, 332.0], [1184.0, 342.0]], ('BANCO DE BOGOTA', 0.9426372051239014)], [[[470.0, 364.0], [556.0, 364.0], [556.0, 396.0], [470.0, 396.0]], ('RETIRO', 0.9971807599067688)], [[[1250.0, 373.0], [1333.0, 373.0], [1333.0, 405.0], [1250.0, 405.0]], ('RETIRO', 0.9939607977867126)], [[[437.0, 400.0], [590.0, 400.0], [590.0, 425.0], [437.0, 425.0]], ('CTA.AHORROS', 0.9538730978965759)], [[[468.0, 416.0], [684.0, 425.0], [682.0, 461.0], [466.0, 451.0]], ('*************014', 0.9151819348335266)], [[[1213.0, 409.0], [1372.0, 403.0], [1374.0, 433.0], [1214.0, 440.0]], ('CTA.AHORROS', 0.948041558265686)], [[[255.0, 430.0], [405.0, 430.0], [405.0, 460.0], [255.0, 460.0]], ('TARJETA NRO', 0.9575425982475281)], [[[1248.0, 429.0], [1464.0, 425.0], [1465.0, 462.0], [1249.0, 466.0]], ('+O*************', 0.6939436197280884)], [[[474.0, 453.0], [497.0, 461.0], [486.0, 493.0], [463.0, 485.0]], ('S', 0.5696577429771423)], [[[1031.0, 448.0], [1186.0, 442.0], [1187.0, 474.0], [1032.0, 480.0]], ('TARJETA NRO.', 0.9184829592704773)], [[[254.0, 460.0], [322.0, 460.0], [322.0, 492.0], [254.0, 492.0]], ('VALOR', 0.9979531168937683)], [[[636.0, 459.0], [695.0, 459.0], [695.0, 492.0], [636.0, 492.0]], ('0.00', 0.9922007322311401)], [[[1416.0, 465.0], [1477.0, 460.0], [1480.0, 494.0], [1419.0, 499.0]], ('0.00', 0.987784206867218)], [[[1032.0, 482.0], [1103.0, 476.0], [1106.0, 510.0], [1036.0, 516.0]], ('VALOR', 0.9984554052352905)], [[[253.0, 594.0], [576.0, 592.0], [576.0, 622.0], [254.0, 624.0]], ('TRANSACCION NO EXITOSA.51', 0.9424896240234375)], [[[1042.0, 615.0], [1365.0, 599.0], [1367.0, 631.0], [1043.0, 648.0]], ('TRANSACCION NO EXITOSA 51', 0.9571399688720703)], [[[255.0, 663.0], [512.0, 663.0], [512.0, 688.0], [255.0, 688.0]], ('FONDOS INSUFICIENTES', 0.9790756106376648)], [[[1043.0, 681.0], [1304.0, 670.0], [1305.0, 700.0], [1045.0, 712.0]], ('FONDOS INSUFICIENTES', 0.9844107627868652)], [[[255.0, 789.0], [651.0, 789.0], [651.0, 820.0], [255.0, 820.0]], ('COSTO TRANSACCION :$1400.00', 0.9021559953689575)], [[[1049.0, 813.0], [1450.0, 792.0], [1451.0, 823.0], [1050.0, 843.0]], ('COSTO TRANSACCION$1.400.00', 0.9260658621788025)], [[[254.0, 893.0], [533.0, 893.0], [533.0, 917.0], [254.0, 917.0]], ('ID APPA0000000032010', 0.9455930590629578)], [[[1054.0, 912.0], [1339.0, 897.0], [1340.0, 928.0], [1056.0, 943.0]], ('ID APP A0000000032010', 0.9506102204322815)], [[[254.0, 926.0], [535.0, 926.0], [535.0, 951.0], [254.0, 951.0]], ('NOMBRE APP VISA DEBITO', 0.9407098293304443)], [[[1054.0, 946.0], [1341.0, 933.0], [1342.0, 963.0], [1055.0, 977.0]], ('NOMBRE APP VISA DEBITO', 0.9402310848236084)]]
{"store_name": "BANCODEBOGOTA BANCODEBOGOTA", "store_addr": "", "telephone": "", "date": "NOV/25/2016 DIC/21/2016", "time": "11:20:45 10:34:12", "subtotal": "", "tax": "", "total": "$1,400.00 $1,400.00", "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
[[[[187.0, 6.0], [325.0, 8.0], [324.0, 21.0], [187.0, 19.0]], ('EL CHICO MEXICAN RESTAURANT', 0.9420589804649353)], [[[217.0, 28.0], [301.0, 30.0], [301.0, 44.0], [216.0, 41.0]], ('TEL04-7059680', 0.9813521504402161)], [[[247.0, 20.0], [270.0, 20.0], [270.0, 31.0], [247.0, 31.0]], ('JBR', 0.9788768887519836)], [[[160.0, 48.0], [230.0, 50.0], [229.0, 64.0], [160.0, 62.0]], ('1050 Home De1', 0.8754867911338806)], [[[153.0, 72.0], [208.0, 72.0], [208.0, 86.0], [153.0, 86.0]], ('Tb11014/1', 0.9832402467727661)], [[[235.0, 74.0], [281.0, 74.0], [281.0, 88.0], [235.0, 88.0]], ('Chk1958', 0.9841884970664978)], [[[327.0, 76.0], [366.0, 73.0], [367.0, 87.0], [328.0, 89.0]], ('Gst 0', 0.8495150804519653)], [[[214.0, 86.0], [302.0, 87.0], [302.0, 100.0], [214.0, 99.0]], ('Nov121605:41PM', 0.9279414415359497)], [[[170.0, 109.0], [300.0, 113.0], [300.0, 127.0], [170.0, 123.0]], ('Home Delivry', 0.9479568600654602)], [[[159.0, 121.0], [214.0, 124.0], [213.0, 136.0], [159.0, 134.0]], ('1 Ts Guac', 0.8405801653862)], [[[159.0, 133.0], [249.0, 136.0], [248.0, 150.0], [159.0, 147.0]], ('1 Grande Chicken', 0.9494755268096924)], [[[320.0, 124.0], [351.0, 124.0], [351.0, 137.0], [320.0, 137.0]], ('48.00', 0.993431568145752)], [[[320.0, 136.0], [352.0, 136.0], [352.0, 150.0], [320.0, 150.0]], ('64.00', 0.9957507848739624)], [[[168.0, 148.0], [212.0, 148.0], [212.0, 161.0], [168.0, 161.0]], ('Buritto', 0.9947632551193237)], [[[156.0, 172.0], [253.0, 175.0], [252.0, 189.0], [156.0, 186.0]], ('1Delivery Charge', 0.9625986814498901)], [[[326.0, 169.0], [355.0, 172.0], [353.0, 191.0], [324.0, 188.0]], ('5.00', 0.9090095162391663)], [[[163.0, 198.0], [227.0, 200.0], [226.0, 217.0], [163.0, 214.0]], ('Amount Due', 0.9773091077804565)], [[[285.0, 200.0], [354.0, 200.0], [354.0, 216.0], [285.0, 216.0]], ('117.00', 0.9985098242759705)], [[[161.0, 241.0], [316.0, 243.0], [315.0, 257.0], [161.0, 255.0]], ('***Thank You For Coming***', 0.9308363199234009)], [[[158.0, 256.0], [317.0, 257.0], [316.0, 273.0], [158.0, 272.0]], ('Home De11very No:600561112', 0.9069331288337708)]]
{"store_name": "ELCHICOMEXICANRESTAURANT", "store_addr": "", "telephone": "04-7059680", "date": "Nov12'16", "time": "05:41PM", "subtotal": "", "tax": "", "total": "117.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TsGuac", "item_value": "48.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GrandeChicken", "item_value": "64.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Buritto", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DeliveryCharge", "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, 7.0], [200.0, 5.0], [201.0, 22.0], [113.0, 24.0]], ('MASALA ZONE', 0.9501698017120361)], [[[135.0, 24.0], [168.0, 24.0], [168.0, 35.0], [135.0, 35.0]], ('SOHO', 0.9952861070632935)], [[[117.0, 42.0], [188.0, 41.0], [188.0, 52.0], [117.0, 53.0]], ('w.sasaiazone.com', 0.7953412532806396)], [[[117.0, 60.0], [183.0, 57.0], [184.0, 67.0], [117.0, 70.0]], ('S Marshall Stceet', 0.7968460321426392)], [[[113.0, 93.0], [193.0, 86.0], [194.0, 100.0], [114.0, 107.0]], ('el 02072879966', 0.7814337015151978)], [[[76.0, 128.0], [143.0, 128.0], [143.0, 138.0], [76.0, 138.0]], ('042409/03/18', 0.9561319947242737)], [[[77.0, 119.0], [157.0, 119.0], [157.0, 129.0], [77.0, 129.0]], ('Server Polito. Adele', 0.8280297517776489)], [[[76.0, 137.0], [123.0, 134.0], [123.0, 145.0], [76.0, 148.0]], ('Table No:33', 0.8387258052825928)], [[[152.0, 136.0], [196.0, 133.0], [196.0, 144.0], [152.0, 147.0]], ('Covers:2', 0.9192570447921753)], [[[78.0, 170.0], [128.0, 170.0], [128.0, 180.0], [78.0, 180.0]], ('[Seat 1]', 0.7819434404373169)], [[[83.0, 179.0], [174.0, 179.0], [174.0, 189.0], [83.0, 189.0]], ('I saffron Chcken kor', 0.8622123599052429)], [[[210.0, 177.0], [238.0, 177.0], [238.0, 188.0], [210.0, 188.0]], ('11.75', 0.9758509397506714)], [[[213.0, 186.0], [240.0, 186.0], [240.0, 199.0], [213.0, 199.0]], ('2.80', 0.8582020401954651)], [[[82.0, 197.0], [156.0, 197.0], [156.0, 207.0], [82.0, 207.0]], ('Ginger Mang Man', 0.9088059067726135)], [[[215.0, 195.0], [240.0, 195.0], [240.0, 207.0], [215.0, 207.0]], ('5.75', 0.9797310829162598)], [[[81.0, 206.0], [174.0, 205.0], [174.0, 216.0], [81.0, 217.0]], ('1 cucumbor and mint ni', 0.8608133792877197)], [[[210.0, 213.0], [240.0, 213.0], [240.0, 227.0], [210.0, 227.0]], ('15.75', 0.9659528732299805)], [[[215.0, 204.0], [239.0, 204.0], [239.0, 216.0], [215.0, 216.0]], ('4.00', 0.9730344414710999)], [[[82.0, 216.0], [151.0, 216.0], [151.0, 227.0], [82.0, 227.0]], ('1reg thali lab', 0.8174296617507935)], [[[82.0, 235.0], [132.0, 234.0], [133.0, 245.0], [82.0, 246.0]], ('1assiM0', 0.6801594495773315)], [[[94.0, 226.0], [155.0, 226.0], [155.0, 236.0], [94.0, 236.0]], (' roghan josh', 0.7836609482765198)], [[[215.0, 233.0], [239.0, 233.0], [239.0, 244.0], [215.0, 244.0]], ('4.75', 0.9903824925422668)], [[[83.0, 254.0], [134.0, 254.0], [134.0, 264.0], [83.0, 264.0]], ('1 plain naan', 0.8041288256645203)], [[[94.0, 245.0], [177.0, 243.0], [177.0, 253.0], [94.0, 255.0]], ('pistachio cardamoa l', 0.8674834370613098)], [[[215.0, 252.0], [238.0, 252.0], [238.0, 263.0], [215.0, 263.0]], ('2.90', 0.9711996912956238)], [[[84.0, 264.0], [140.0, 264.0], [140.0, 275.0], [84.0, 275.0]], ('1 gulab jasun', 0.7831974625587463)], [[[214.0, 271.0], [238.0, 271.0], [238.0, 283.0], [214.0, 283.0]], ('3.25', 0.9830495119094849)], [[[215.0, 262.0], [237.0, 262.0], [237.0, 274.0], [215.0, 274.0]], ('5.75', 0.9737363457679749)], [[[83.0, 273.0], [139.0, 272.0], [139.0, 283.0], [84.0, 284.0]], ('1msala chai', 0.6355810761451721)], [[[81.0, 291.0], [115.0, 291.0], [115.0, 302.0], [81.0, 302.0]], ('SubTotal', 0.9415591955184937)], [[[218.0, 290.0], [244.0, 290.0], [244.0, 300.0], [218.0, 300.0]], ('56.80', 0.9827491044998169)], [[[82.0, 308.0], [190.0, 307.0], [190.0, 318.0], [82.0, 319.0]], ('12.5x Discretionery Service', 0.8790286779403687)], [[[220.0, 308.0], [245.0, 305.0], [246.0, 317.0], [221.0, 320.0]], ('7.10', 0.9789595603942871)], [[[89.0, 326.0], [126.0, 326.0], [126.0, 336.0], [89.0, 336.0]], ('Total', 0.9869771003723145)], [[[196.0, 326.0], [244.0, 326.0], [244.0, 338.0], [196.0, 338.0]], ('63.90', 0.953396201133728)], [[[105.0, 356.0], [210.0, 356.0], [210.0, 366.0], [105.0, 366.0]], ('N 60 OFF YOUR NEXT MEAL', 0.8673561811447144)], [[[85.0, 375.0], [229.0, 376.0], [228.0, 389.0], [84.0, 388.0]], ('Just give feoback on this meal at', 0.850991427898407)], [[[120.0, 367.0], [191.0, 367.0], [191.0, 377.0], [120.0, 377.0]], ('IN CUR PRIZE ORAN', 0.8724157214164734)], [[[114.0, 398.0], [193.0, 398.0], [193.0, 411.0], [114.0, 411.0]], ('Thank You', 0.9646081924438477)], [[[117.0, 389.0], [196.0, 389.0], [196.0, 399.0], [117.0, 399.0]], ('www.asaazone.com', 0.884363055229187)], [[[93.0, 408.0], [218.0, 409.0], [218.0, 422.0], [93.0, 421.0]], ('Your bil includes VAT 20%', 0.8462474346160889)], [[[80.0, 421.0], [227.0, 421.0], [227.0, 434.0], [80.0, 434.0]], ('VAT No689 7699 29 In No316740', 0.8967880010604858)]]
{"store_name": "MASALAZONE SOHO", "store_addr": "", "telephone": "02072879966", "date": "09/03/18", "time": "04:24pm", "subtotal": "\u00a356.80", "tax": "\u00a37.10", "total": "\u00a363.90", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GingerMangMan", "item_value": "\u00a311.75", "item_quantity": "1"}, {"item_key": "", "item_name": "regthalilamb", "item_value": "\u00a32.90", "item_quantity": "1"}, {"item_key": "", "item_name": "lassiMOD", "item_value": "\u00a35.75", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a34.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a315.75", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a34.75", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a32.90", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a35.75", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a33.25", "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
[[[[109.0, 6.0], [189.0, 8.0], [189.0, 29.0], [108.0, 27.0]], ('Lone Star Cafe', 0.9724059700965881)], [[[119.0, 24.0], [181.0, 28.0], [180.0, 42.0], [118.0, 38.0]], ('237 Losaya', 0.9075073003768921)], [[[31.0, 45.0], [205.0, 53.0], [204.0, 67.0], [31.0, 58.0]], ('Isabe1 Don Table:346 Check:8829', 0.890580952167511)], [[[108.0, 36.0], [189.0, 39.0], [189.0, 53.0], [107.0, 50.0]], ('6/3/164:45PM', 0.9700383543968201)], [[[29.0, 70.0], [161.0, 77.0], [160.0, 90.0], [29.0, 83.0]], ('Guest:1T1cket17469', 0.9438073039054871)], [[[39.0, 83.0], [113.0, 88.0], [112.0, 102.0], [38.0, 97.0]], ('Avion Silver', 0.9233028292655945)], [[[39.0, 96.0], [120.0, 101.0], [120.0, 115.0], [38.0, 110.0]], ('12oz Bud L1ght', 0.8935397863388062)], [[[229.0, 91.0], [260.0, 91.0], [260.0, 105.0], [229.0, 105.0]], ('$9.50', 0.9909062385559082)], [[[37.0, 109.0], [116.0, 114.0], [116.0, 128.0], [36.0, 123.0]], ('Fried Pickles', 0.9384909272193909)], [[[229.0, 102.0], [261.0, 105.0], [259.0, 120.0], [228.0, 117.0]], ('$4.25', 0.9938091039657593)], [[[35.0, 122.0], [115.0, 128.0], [114.0, 142.0], [34.0, 136.0]], ('D Onion Rings', 0.9098142385482788)], [[[229.0, 117.0], [261.0, 117.0], [261.0, 131.0], [229.0, 131.0]], ('$6.99', 0.9929128885269165)], [[[35.0, 135.0], [127.0, 142.0], [126.0, 156.0], [34.0, 149.0]], ('D Chicken Nings', 0.8947233557701111)], [[[229.0, 130.0], [261.0, 130.0], [261.0, 144.0], [229.0, 144.0]], ('668$', 0.9092636108398438)], [[[35.0, 151.0], [176.0, 155.0], [175.0, 169.0], [34.0, 165.0]], ('Bud L1ght Aluminum 16 oz', 0.8548820614814758)], [[[230.0, 142.0], [262.0, 142.0], [262.0, 157.0], [230.0, 157.0]], ('666$', 0.9404481649398804)], [[[34.0, 164.0], [176.0, 169.0], [175.0, 183.0], [33.0, 178.0]], ('Bud Light Aluninm 16 oz', 0.8761047720909119)], [[[230.0, 155.0], [263.0, 155.0], [263.0, 169.0], [230.0, 169.0]], ('$5.00', 0.9917075037956238)], [[[230.0, 168.0], [264.0, 168.0], [264.0, 183.0], [230.0, 183.0]], ('$5.00', 0.9974963068962097)], [[[20.0, 191.0], [123.0, 194.0], [123.0, 208.0], [20.0, 205.0]], ('Guest 1 Sub-Total', 0.9233126640319824)], [[[226.0, 195.0], [264.0, 195.0], [264.0, 209.0], [226.0, 209.0]], ('$49.72', 0.9960310459136963)], [[[30.0, 219.0], [89.0, 221.0], [89.0, 235.0], [30.0, 233.0]], ('Sub-Total', 0.9224353432655334)], [[[132.0, 215.0], [180.0, 209.0], [182.0, 229.0], [134.0, 235.0]], ('Y', 0.5133621692657471)], [[[226.0, 223.0], [264.0, 223.0], [264.0, 237.0], [226.0, 237.0]], ('$49.72', 0.9919841289520264)], [[[29.0, 233.0], [94.0, 235.0], [94.0, 252.0], [29.0, 250.0]], ('Sales Tax', 0.9395347237586975)], [[[232.0, 237.0], [265.0, 237.0], [265.0, 252.0], [232.0, 252.0]], ('$2.14', 0.989321231842041)], [[[20.0, 249.0], [128.0, 251.0], [128.0, 265.0], [20.0, 263.0]], ('L1quor Sales Tax', 0.8372661471366882)], [[[161.0, 258.0], [202.0, 256.0], [203.0, 275.0], [162.0, 278.0]], ('O', 0.5969113707542419)], [[[231.0, 252.0], [265.0, 252.0], [265.0, 267.0], [231.0, 267.0]], ('$1.96', 0.9887145161628723)], [[[13.0, 278.0], [48.0, 278.0], [48.0, 303.0], [13.0, 303.0]], ('Total', 0.9965122938156128)], [[[227.0, 279.0], [269.0, 279.0], [269.0, 307.0], [227.0, 307.0]], ('$53.82', 0.9854600429534912)], [[[12.0, 303.0], [79.0, 303.0], [79.0, 329.0], [12.0, 329.0]], ('Amount Due', 0.9737092852592468)], [[[226.0, 304.0], [270.0, 304.0], [270.0, 332.0], [226.0, 332.0]], ('$53.82', 0.8412668108940125)], [[[11.0, 342.0], [71.0, 342.0], [71.0, 359.0], [11.0, 359.0]], ('Tip Guide', 0.9584184288978577)], [[[10.0, 358.0], [70.0, 358.0], [70.0, 375.0], [10.0, 375.0]], ('15%-$8.07', 0.9820548295974731)], [[[104.0, 359.0], [169.0, 359.0], [169.0, 376.0], [104.0, 376.0]], ('20%-$10.76', 0.9850845336914062)], [[[201.0, 358.0], [270.0, 361.0], [269.0, 378.0], [201.0, 375.0]], ('25%-$13.46', 0.9761433601379395)], [[[9.0, 376.0], [80.0, 376.0], [80.0, 390.0], [9.0, 390.0]], ('+15%=$61.89', 0.9749536514282227)], [[[103.0, 376.0], [175.0, 373.0], [176.0, 391.0], [103.0, 393.0]], ('+20%=$64.56', 0.9572263360023499)], [[[199.0, 375.0], [270.0, 379.0], [269.0, 394.0], [199.0, 391.0]], ('+25%=$67.28', 0.8922013640403748)], [[[17.0, 423.0], [257.0, 425.0], [257.0, 443.0], [17.0, 441.0]], ('Thank you for dining with us at River', 0.9534992575645447)]]
{"store_name": "LoneStarCafe", "store_addr": "237Losoya", "telephone": "", "date": "6/3/16", "time": "4:45PM", "subtotal": "$49.72 $49.72", "tax": "$2.14 $1.96", "total": "$53.82 $53.82", "ignore": " ", "tips": "$8.07 $61.89 $10.76 $64.58 $13.46 $67.28", "line_items": [{"item_key": "", "item_name": "AvionSilver", "item_value": "$9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "12ozBudLight", "item_value": "$4.25", "item_quantity": "1"}, {"item_key": "", "item_name": "FriedPickles", "item_value": "$6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DonionRings", "item_value": "$8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DChickenWings", "item_value": "$9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BudLightAluminum16oz", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BudLightAluminum16oz", "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
[[[[348.0, 202.0], [562.0, 205.0], [561.0, 239.0], [348.0, 236.0]], ('Pumpkin Shop', 0.9617609977722168)], [[[174.0, 252.0], [720.0, 255.0], [720.0, 288.0], [174.0, 285.0]], ('Bristol Temple Meads II 1891372', 0.9269821047782898)], [[[173.0, 299.0], [740.0, 302.0], [740.0, 336.0], [173.0, 333.0]], ('VAT Registration No.884 2579 78', 0.9478868246078491)], [[[69.0, 349.0], [839.0, 354.0], [839.0, 388.0], [69.0, 384.0]], ('Thankyou for your custom. Please call again.', 0.9482196569442749)], [[[113.0, 492.0], [197.0, 492.0], [197.0, 568.0], [113.0, 568.0]], ('BILL', 0.9979304671287537)], [[[773.0, 500.0], [872.0, 500.0], [872.0, 571.0], [773.0, 571.0]], ('21139', 0.9603169560432434)], [[[119.0, 615.0], [262.0, 615.0], [262.0, 651.0], [119.0, 651.0]], ('CRUNCHIE', 0.9977030754089355)], [[[774.0, 618.0], [852.0, 618.0], [852.0, 657.0], [774.0, 657.0]], ('0.75', 0.9958640933036804)], [[[120.0, 716.0], [262.0, 716.0], [262.0, 751.0], [120.0, 751.0]], ('SUBTOTAL', 0.9968910217285156)], [[[773.0, 718.0], [851.0, 718.0], [851.0, 756.0], [773.0, 756.0]], ('0.75', 0.9962928295135498)], [[[122.0, 767.0], [263.0, 767.0], [263.0, 802.0], [122.0, 802.0]], ('CASH', 0.9950059652328491)], [[[774.0, 767.0], [869.0, 767.0], [869.0, 809.0], [774.0, 809.0]], ('1.00C', 0.9006873369216919)], [[[119.0, 813.0], [231.0, 813.0], [231.0, 853.0], [119.0, 853.0]], ('CHANGE', 0.9979222416877747)], [[[774.0, 814.0], [853.0, 814.0], [853.0, 857.0], [774.0, 857.0]], ('0.25', 0.9949996471405029)], [[[122.0, 915.0], [300.0, 915.0], [300.0, 949.0], [122.0, 949.0]], ('SRNetSales', 0.9891775250434875)], [[[579.0, 915.0], [658.0, 915.0], [658.0, 953.0], [579.0, 953.0]], ('0.62', 0.9952113628387451)], [[[119.0, 962.0], [301.0, 962.0], [301.0, 1000.0], [119.0, 1000.0]], ('VAT 20.00%', 0.9572771787643433)], [[[773.0, 963.0], [853.0, 963.0], [853.0, 1006.0], [773.0, 1006.0]], ('0.13', 0.9957929849624634)], [[[334.0, 1062.0], [568.0, 1065.0], [567.0, 1099.0], [334.0, 1096.0]], ('CLK2/DRW2', 0.9900109171867371)], [[[123.0, 1112.0], [777.0, 1116.0], [777.0, 1149.0], [123.0, 1145.0]], ('#002-002-5406-3320 27/01/2011 17:12-R', 0.9640870094299316)], [[[263.0, 1211.0], [651.0, 1214.0], [651.0, 1248.0], [263.0, 1245.0]], ('Select Service Partner', 0.9710188508033752)], [[[174.0, 1259.0], [742.0, 1264.0], [741.0, 1297.0], [174.0, 1292.0]], ('169 Euston Road London NW1 2AE', 0.9135834574699402)], [[[106.0, 1311.0], [814.0, 1317.0], [814.0, 1347.0], [106.0, 1341.0]], ('Comments welcome at: www.sspfeedback.com', 0.9349682927131653)]]
{"store_name": "PumpkinShop", "store_addr": "BristolTempleMeadsII1891372", "telephone": "", "date": "27/01/2011", "time": "17:12", "subtotal": "0.75", "tax": "0.13", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CRUNCHIE", "item_value": "0.75", "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
[[[[54.0, 43.0], [169.0, 43.0], [169.0, 57.0], [54.0, 57.0]], ('450 UPPER BUKIT TIMAH ROAD', 0.8455060124397278)], [[[70.0, 53.0], [152.0, 54.0], [152.0, 68.0], [70.0, 67.0]], ('SINGAPORE 678069', 0.9021782875061035)], [[[59.0, 64.0], [155.0, 64.0], [155.0, 78.0], [59.0, 78.0]], ('GSTREGNO2012229670', 0.8928813934326172)], [[[85.0, 96.0], [169.0, 97.0], [169.0, 112.0], [85.0, 110.0]], ('30-08-201511:2', 0.8938657641410828)], [[[144.0, 89.0], [172.0, 86.0], [173.0, 99.0], [145.0, 102.0]], ('MC#01', 0.9095560908317566)], [[[26.0, 99.0], [70.0, 96.0], [70.0, 110.0], [27.0, 113.0]], ('RESC01', 0.9004557132720947)], [[[164.0, 97.0], [197.0, 97.0], [197.0, 108.0], [164.0, 108.0]], ('596200', 0.6380926966667175)], [[[27.0, 126.0], [80.0, 126.0], [80.0, 147.0], [27.0, 147.0]], ('TABLEO.4', 0.8869378566741943)], [[[56.0, 155.0], [103.0, 155.0], [103.0, 166.0], [56.0, 166.0]], ('Invoice No.', 0.793480634689331)], [[[155.0, 149.0], [185.0, 149.0], [185.0, 163.0], [155.0, 163.0]], ('031107', 0.9555063843727112)], [[[57.0, 175.0], [98.0, 175.0], [98.0, 186.0], [57.0, 186.0]], ('1.PORTION', 0.913554310798645)], [[[161.0, 171.0], [186.0, 171.0], [186.0, 183.0], [161.0, 183.0]], ('$5.00', 0.9645742177963257)], [[[55.0, 194.0], [124.0, 191.0], [125.0, 205.0], [56.0, 208.0]], ('DUPLING NOOOLE', 0.8252882361412048)], [[[59.0, 186.0], [89.0, 186.0], [89.0, 197.0], [59.0, 197.0]], ('-', 0.5595607757568359)], [[[162.0, 191.0], [187.0, 191.0], [187.0, 203.0], [162.0, 203.0]], ('$5.50', 0.9890592694282532)], [[[56.0, 215.0], [125.0, 212.0], [126.0, 225.0], [57.0, 228.0]], ('SHRIMP CMELETTE', 0.8182865381240845)], [[[163.0, 211.0], [188.0, 211.0], [188.0, 223.0], [163.0, 223.0]], ('$8.00', 0.9808233380317688)], [[[57.0, 236.0], [117.0, 233.0], [118.0, 246.0], [58.0, 249.0]], ('HENG CAI SOUP', 0.885793149471283)], [[[163.0, 232.0], [191.0, 232.0], [191.0, 245.0], [163.0, 245.0]], ('$7.00', 0.9628774523735046)], [[[58.0, 256.0], [135.0, 254.0], [136.0, 267.0], [59.0, 269.0]], ('HONEY G PORK RIBS', 0.7698186635971069)], [[[160.0, 252.0], [191.0, 252.0], [191.0, 266.0], [160.0, 266.0]], ('$10.00', 0.9578624367713928)], [[[45.0, 289.0], [85.0, 286.0], [86.0, 300.0], [46.0, 303.0]], ('5TOTAL', 0.9092337489128113)], [[[162.0, 283.0], [193.0, 283.0], [193.0, 297.0], [162.0, 297.0]], ('$35.50', 0.9715337753295898)], [[[65.0, 310.0], [94.0, 310.0], [94.0, 321.0], [65.0, 321.0]], ('7SGST', 0.8518059849739075)], [[[168.0, 305.0], [193.0, 305.0], [193.0, 317.0], [168.0, 317.0]], ('$0.00', 0.9879502058029175)], [[[61.0, 322.0], [86.0, 322.0], [86.0, 333.0], [61.0, 333.0]], ('TOTAL', 0.9966607093811035)], [[[137.0, 318.0], [193.0, 314.0], [194.0, 328.0], [138.0, 332.0]], ('$35.50', 0.923732578754425)], [[[61.0, 333.0], [84.0, 333.0], [84.0, 345.0], [61.0, 345.0]], ('CASH', 0.9910164475440979)], [[[161.0, 328.0], [194.0, 325.0], [195.0, 339.0], [162.0, 342.0]], ('35.00', 0.9035172462463379)], [[[60.0, 343.0], [92.0, 343.0], [92.0, 357.0], [60.0, 357.0]], ('CHANGE', 0.996892511844635)], [[[168.0, 339.0], [196.0, 339.0], [196.0, 352.0], [168.0, 352.0]], ('05:0$', 0.7585922479629517)], [[[40.0, 387.0], [127.0, 384.0], [128.0, 397.0], [41.0, 400.0]], ('Guest Signature....', 0.7150740027427673)], [[[75.0, 396.0], [198.0, 391.0], [199.0, 404.0], [75.0, 409.0]], ('Thank You And See You Again', 0.8527702689170837)], [[[40.0, 418.0], [65.0, 418.0], [65.0, 430.0], [40.0, 430.0]], ('11:50', 0.9846361875534058)]]
{"store_name": "TECXKEE(2012)CHICKENRICEPTELTD", "store_addr": "450UPPERBUKITTIMAHROAD SINGAPORE(678069)", "telephone": "", "date": "30-08-2015", "time": "11:22", "subtotal": "$35.50", "tax": "$0.00", "total": "$35.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PORTION", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SHRIMPCHELETTE", "item_value": "$5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "HENGCAISOUP", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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
[[[[213.0, 157.0], [443.0, 174.0], [441.0, 198.0], [211.0, 182.0]], ('Welcome to Chick-fi1-A', 0.9508196115493774)], [[[152.0, 178.0], [494.0, 199.0], [492.0, 229.0], [150.0, 207.0]], ('Internat iona1 Speedway Fsu #00866', 0.9349091649055481)], [[[236.0, 214.0], [412.0, 225.0], [410.0, 247.0], [235.0, 236.0]], ('Daytona Beach,FL', 0.9491609334945679)], [[[267.0, 242.0], [392.0, 249.0], [391.0, 271.0], [266.0, 264.0]], ('386-252-8232', 0.9944563508033752)], [[[215.0, 267.0], [432.0, 276.0], [431.0, 298.0], [214.0, 289.0]], ('Operator: Gary Harris', 0.9375232458114624)], [[[256.0, 346.0], [390.0, 349.0], [390.0, 371.0], [255.0, 368.0]], ('CUSTOMER COPY', 0.9676592350006104)], [[[245.0, 370.0], [454.0, 374.0], [453.0, 399.0], [245.0, 395.0]], ('3/7/2016 11:01:44 AM', 0.9211543202400208)], [[[287.0, 399.0], [362.0, 399.0], [362.0, 421.0], [287.0, 421.0]], ('DINE IN', 0.968686580657959)], [[[120.0, 418.0], [259.0, 424.0], [258.0, 446.0], [119.0, 440.0]], ('Order Number:', 0.9325853586196899)], [[[287.0, 424.0], [361.0, 424.0], [361.0, 447.0], [287.0, 447.0]], ('3534366', 0.999126136302948)], [[[150.0, 471.0], [289.0, 474.0], [288.0, 496.0], [149.0, 493.0]], ('Mea1-SpcySand', 0.9667311906814575)], [[[491.0, 468.0], [539.0, 468.0], [539.0, 492.0], [491.0, 492.0]], ('6.25', 0.990644633769989)], [[[171.0, 495.0], [271.0, 498.0], [270.0, 524.0], [170.0, 521.0]], ('Spcy Sand', 0.9675585627555847)], [[[171.0, 522.0], [258.0, 524.0], [257.0, 547.0], [170.0, 545.0]], ('Fries MD', 0.9557471871376038)], [[[170.0, 548.0], [278.0, 550.0], [278.0, 573.0], [169.0, 571.0]], ('Swt Tea MD', 0.9345734715461731)], [[[147.0, 601.0], [265.0, 601.0], [265.0, 623.0], [147.0, 623.0]], ('Sub.Total:', 0.9275214076042175)], [[[483.0, 596.0], [543.0, 593.0], [545.0, 620.0], [485.0, 623.0]], ('$6.25', 0.9946282505989075)], [[[144.0, 627.0], [193.0, 627.0], [193.0, 651.0], [144.0, 651.0]], ('Tax:', 0.9636126160621643)], [[[484.0, 623.0], [546.0, 620.0], [547.0, 648.0], [486.0, 650.0]], ('$0.41', 0.993903636932373)], [[[144.0, 653.0], [213.0, 653.0], [213.0, 679.0], [144.0, 679.0]], ('Total:', 0.9858126640319824)], [[[486.0, 651.0], [547.0, 649.0], [548.0, 676.0], [488.0, 678.0]], ('$6.66', 0.9924429655075073)], [[[143.0, 707.0], [215.0, 711.0], [213.0, 737.0], [141.0, 733.0]], ('Change', 0.9978036880493164)], [[[489.0, 707.0], [552.0, 707.0], [552.0, 733.0], [489.0, 733.0]], ('$0.34', 0.9948338270187378)], [[[142.0, 736.0], [266.0, 733.0], [266.0, 758.0], [142.0, 761.0]], ('Next Dollar', 0.9332135915756226)], [[[490.0, 735.0], [552.0, 735.0], [552.0, 761.0], [490.0, 761.0]], ('$7.00', 0.9961658716201782)], [[[108.0, 766.0], [223.0, 762.0], [224.0, 786.0], [109.0, 790.0]], ('Register:7', 0.9809402227401733)], [[[333.0, 759.0], [550.0, 765.0], [549.0, 789.0], [332.0, 783.0]], ('Tran Seq No:3534366', 0.9370329976081848)], [[[110.0, 793.0], [267.0, 789.0], [268.0, 814.0], [110.0, 818.0]], ('Cashier:Jordan', 0.9754292368888855)], [[[176.0, 820.0], [484.0, 820.0], [484.0, 845.0], [176.0, 845.0]], ('It was pleasure serving you!', 0.9703521728515625)], [[[207.0, 847.0], [436.0, 845.0], [436.0, 871.0], [207.0, 873.0]], ('Have a wonderful day', 0.9449152946472168)], [[[108.0, 874.0], [546.0, 876.0], [545.0, 905.0], [108.0, 903.0]], ('Like us on FB facebook.com/chickfila866', 0.9667481780052185)]]
{"store_name": "WelcometoChick-fil-a", "store_addr": "InternationalSpeedwayFSU#00866 DaytonaBeach,FL", "telephone": "386-252-8232", "date": "3/7/2016", "time": "11:01:44AM", "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
[[[[159.0, 7.0], [196.0, 13.0], [195.0, 24.0], [158.0, 18.0]], ('\\PO', 0.7891225814819336)], [[[163.0, 67.0], [184.0, 70.0], [183.0, 80.0], [162.0, 77.0]], ('AN', 0.992185115814209)], [[[128.0, 83.0], [212.0, 96.0], [210.0, 110.0], [126.0, 97.0]], ('Life is burritoful', 0.8541882038116455)], [[[109.0, 103.0], [228.0, 117.0], [226.0, 134.0], [107.0, 120.0]], ('9600 S.H-35 5eryR4 8', 0.7851941585540771)], [[[108.0, 115.0], [228.0, 128.0], [226.0, 145.0], [106.0, 132.0]], ('S-350AUS1X78746', 0.8436510562896729)], [[[67.0, 136.0], [121.0, 142.0], [120.0, 156.0], [66.0, 150.0]], ('Host:Rene', 0.9149453639984131)], [[[141.0, 131.0], [202.0, 138.0], [201.0, 151.0], [140.0, 144.0]], ('512-291-1057', 0.9011377692222595)], [[[66.0, 148.0], [120.0, 153.0], [119.0, 167.0], [65.0, 163.0]], ('ORDER247', 0.9693959951400757)], [[[216.0, 150.0], [267.0, 154.0], [266.0, 167.0], [215.0, 164.0]], ('06/06/2014', 0.9039087295532227)], [[[63.0, 185.0], [176.0, 193.0], [175.0, 206.0], [62.0, 197.0]], ('Carntas Bo2 6.95', 0.8864597082138062)], [[[240.0, 177.0], [268.0, 177.0], [268.0, 190.0], [240.0, 190.0]], ('10151', 0.9908916354179382)], [[[62.0, 196.0], [164.0, 205.0], [162.0, 219.0], [61.0, 210.0]], ('Sna11 Soda 21.80', 0.8531017303466797)], [[[241.0, 200.0], [267.0, 200.0], [267.0, 212.0], [241.0, 212.0]], ('13.90', 0.9664682149887085)], [[[242.0, 209.0], [267.0, 212.0], [266.0, 226.0], [241.0, 223.0]], ('3.80', 0.8174149990081787)], [[[59.0, 221.0], [123.0, 225.0], [122.0, 238.0], [58.0, 235.0]], ('Manager Cosp', 0.8651895523071289)], [[[240.0, 232.0], [266.0, 236.0], [263.0, 251.0], [237.0, 247.0]], ('-8.95', 0.8019621968269348)], [[[56.0, 247.0], [101.0, 247.0], [101.0, 261.0], [56.0, 261.0]], ('Suptotal', 0.8758911490440369)], [[[57.0, 257.0], [76.0, 262.0], [74.0, 274.0], [54.0, 269.0]], ('Tax', 0.9829652905464172)], [[[238.0, 257.0], [264.0, 260.0], [263.0, 274.0], [237.0, 271.0]], ('10.55', 0.9848281145095825)], [[[240.0, 272.0], [264.0, 272.0], [264.0, 287.0], [240.0, 287.0]], ('0.87', 0.8997036814689636)], [[[52.0, 282.0], [120.0, 287.0], [119.0, 301.0], [51.0, 296.0]], ('DINE IN Total', 0.8563271164894104)], [[[51.0, 294.0], [163.0, 303.0], [162.0, 317.0], [50.0, 308.0]], ('Visa xxx0xxXxxxx2781', 0.6643996834754944)], [[[235.0, 294.0], [263.0, 297.0], [262.0, 311.0], [234.0, 308.0]], ('11.42', 0.9319440126419067)], [[[59.0, 308.0], [135.0, 316.0], [133.0, 330.0], [58.0, 322.0]], ('Authorizing...', 0.9388195872306824)], [[[234.0, 307.0], [262.0, 310.0], [261.0, 325.0], [233.0, 322.0]], ('11.42', 0.9783886075019836)], [[[47.0, 322.0], [107.0, 328.0], [106.0, 340.0], [46.0, 335.0]], ('Balance Due', 0.9298608899116516)], [[[231.0, 333.0], [263.0, 333.0], [263.0, 347.0], [231.0, 347.0]], ('11.42', 0.9168502688407898)]]
{"store_name": "CHIPOTLE", "store_addr": "", "telephone": "512-291-1057", "date": "06/06/2014", "time": "1:27PM", "subtotal": "10.55", "tax": "0.87", "total": "11.42 11.42 11.42", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CarnitasBowl([email protected])", "item_value": "13.90", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.60", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[662.0, 20.0], [752.0, 20.0], [752.0, 87.0], [662.0, 87.0]], ('O', 0.5632482171058655)], [[[770.0, 30.0], [853.0, 102.0], [812.0, 149.0], [729.0, 77.0]], ('TL', 0.9439681768417358)], [[[813.0, 109.0], [880.0, 109.0], [880.0, 176.0], [813.0, 176.0]], ('m', 0.571822464466095)], [[[346.0, 510.0], [1025.0, 510.0], [1025.0, 577.0], [346.0, 577.0]], ("You decide what's inside.", 0.9513097405433655)], [[[416.0, 652.0], [1020.0, 652.0], [1020.0, 708.0], [416.0, 708.0]], ('132 North Glendale Ave', 0.9315796494483948)], [[[466.0, 723.0], [963.0, 714.0], [964.0, 770.0], [467.0, 779.0]], ('GlendaleCA 91206', 0.9303597211837769)], [[[550.0, 787.0], [885.0, 781.0], [886.0, 837.0], [551.0, 843.0]], ('818-244-5091', 0.9920608401298523)], [[[117.0, 833.0], [504.0, 858.0], [501.0, 914.0], [113.0, 889.0]], ('Host Vicente', 0.9565761685371399)], [[[1030.0, 841.0], [1305.0, 825.0], [1309.0, 884.0], [1033.0, 900.0]], ('10/31/2013', 0.9987424612045288)], [[[119.0, 903.0], [417.0, 919.0], [414.0, 978.0], [116.0, 962.0]], ('ORDER #641', 0.9542433619499207)], [[[1111.0, 900.0], [1314.0, 890.0], [1317.0, 948.0], [1114.0, 958.0]], ('4:45PM', 0.9436714053153992)], [[[1176.0, 958.0], [1324.0, 958.0], [1324.0, 1019.0], [1176.0, 1019.0]], ('10543', 0.9988770484924316)], [[[1215.0, 1086.0], [1341.0, 1086.0], [1341.0, 1151.0], [1215.0, 1151.0]], ('6.70', 0.9955851435661316)], [[[123.0, 1123.0], [508.0, 1117.0], [509.0, 1176.0], [124.0, 1182.0]], ('Carnitas Bowl', 0.9601306319236755)], [[[1217.0, 1157.0], [1344.0, 1150.0], [1348.0, 1214.0], [1221.0, 1222.0]], ('3.00', 0.9972521066665649)], [[[122.0, 1196.0], [516.0, 1187.0], [517.0, 1243.0], [124.0, 1252.0]], ('Steak Boorito', 0.9773820042610168)], [[[1228.0, 1291.0], [1358.0, 1284.0], [1362.0, 1352.0], [1232.0, 1359.0]], ('9.70', 0.9963106513023376)], [[[119.0, 1334.0], [369.0, 1321.0], [373.0, 1390.0], [123.0, 1404.0]], ('Subtotal', 0.9889301061630249)], [[[1234.0, 1364.0], [1364.0, 1357.0], [1367.0, 1425.0], [1238.0, 1432.0]], ('0.60', 0.9927562475204468)], [[[123.0, 1408.0], [229.0, 1408.0], [229.0, 1473.0], [123.0, 1473.0]], ('Tax', 0.9971075057983398)], [[[1220.0, 1502.0], [1372.0, 1494.0], [1376.0, 1567.0], [1224.0, 1575.0]], ('10.30', 0.9851032495498657)], [[[136.0, 1558.0], [551.0, 1536.0], [554.0, 1595.0], [139.0, 1617.0]], ('TAKE OUT Total', 0.8745943903923035)], [[[1229.0, 1574.0], [1383.0, 1574.0], [1383.0, 1644.0], [1229.0, 1644.0]], ('10.30', 0.9937529563903809)], [[[133.0, 1636.0], [791.0, 1601.0], [795.0, 1659.0], [136.0, 1695.0]], ('Visa#XXxXxxxxxxxX5693', 0.7623322010040283)], [[[189.0, 1703.0], [613.0, 1685.0], [616.0, 1752.0], [192.0, 1770.0]], ('Authorizing...', 0.9851977229118347)], [[[1237.0, 1720.0], [1392.0, 1713.0], [1395.0, 1785.0], [1240.0, 1793.0]], ('10.30', 0.9917619824409485)], [[[133.0, 1785.0], [478.0, 1766.0], [482.0, 1833.0], [137.0, 1852.0]], ('Balance Due', 0.9586494565010071)], [[[354.0, 1928.0], [1196.0, 1878.0], [1200.0, 1942.0], [357.0, 1992.0]], ('Order online at chipotle.com', 0.9536218047142029)], [[[329.0, 2006.0], [1199.0, 1959.0], [1203.0, 2023.0], [332.0, 2070.0]], ('This Ha1loween, come into any', 0.9108666181564331)], [[[362.0, 2087.0], [1179.0, 2037.0], [1183.0, 2096.0], [366.0, 2146.0]], ('Chipotle dressed in costume', 0.9609342217445374)], [[[362.0, 2163.0], [1210.0, 2107.0], [1214.0, 2174.0], [366.0, 2230.0]], ("from 4pm to close and you'11", 0.9213690757751465)], [[[488.0, 2241.0], [1053.0, 2197.0], [1058.0, 2255.0], [492.0, 2300.0]], ('score a $3 burrito', 0.944103479385376)]]
{"store_name": "CHIPOTLE", "store_addr": "132NorthGlendaleAve Glendale,CA91206", "telephone": "818-244-5091", "date": "10/31/2013", "time": "4:45PM", "subtotal": "9.70", "tax": "0.60", "total": "10.30", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CarnitasBowl", "item_value": "6.70", "item_quantity": "1"}, {"item_key": "", "item_name": "SteakBoorito", "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
[[[[512.0, 83.0], [545.0, 56.0], [603.0, 125.0], [570.0, 152.0]], ('TLE', 0.998009204864502)], [[[398.0, 175.0], [419.0, 175.0], [419.0, 199.0], [398.0, 199.0]], ('3', 0.7685722708702087)], [[[514.0, 228.0], [554.0, 207.0], [564.0, 226.0], [523.0, 247.0]], ('GR', 0.9954838752746582)], [[[334.0, 290.0], [641.0, 289.0], [641.0, 318.0], [334.0, 320.0]], ("You decide what's inside", 0.9592149257659912)], [[[421.0, 351.0], [574.0, 351.0], [574.0, 376.0], [421.0, 376.0]], ('864 Broadway', 0.9654338359832764)], [[[367.0, 378.0], [612.0, 373.0], [613.0, 403.0], [368.0, 408.0]], ('New YorkNY 10003', 0.9397606253623962)], [[[418.0, 407.0], [572.0, 407.0], [572.0, 432.0], [418.0, 432.0]], ('212-253-7860', 0.9897730350494385)], [[[225.0, 439.0], [377.0, 439.0], [377.0, 464.0], [225.0, 464.0]], ('HostVictor', 0.9930098652839661)], [[[638.0, 438.0], [769.0, 438.0], [769.0, 464.0], [638.0, 464.0]], ('08/30/2012', 0.9984430074691772)], [[[225.0, 470.0], [356.0, 470.0], [356.0, 495.0], [225.0, 495.0]], ('ORDER #362', 0.950467586517334)], [[[676.0, 468.0], [774.0, 468.0], [774.0, 496.0], [676.0, 496.0]], ('1:09PM', 0.9440919756889343)], [[[700.0, 498.0], [771.0, 498.0], [771.0, 529.0], [700.0, 529.0]], ('10264', 0.9988691210746765)], [[[230.0, 560.0], [392.0, 560.0], [392.0, 586.0], [230.0, 586.0]], ('Carnitas Bow7', 0.9179076552391052)], [[[709.0, 561.0], [766.0, 561.0], [766.0, 590.0], [709.0, 590.0]], ('8.27', 0.9959383010864258)], [[[256.0, 618.0], [371.0, 618.0], [371.0, 648.0], [256.0, 648.0]], ('Guacamole', 0.9938817620277405)], [[[706.0, 622.0], [766.0, 622.0], [766.0, 654.0], [706.0, 654.0]], ('2.07', 0.9961380958557129)], [[[231.0, 674.0], [332.0, 678.0], [330.0, 709.0], [230.0, 705.0]], ('Subtotal', 0.9953686594963074)], [[[696.0, 685.0], [766.0, 685.0], [766.0, 716.0], [696.0, 716.0]], ('10.34', 0.9913623929023743)], [[[229.0, 706.0], [274.0, 709.0], [272.0, 739.0], [227.0, 736.0]], ('Tax', 0.9958586692810059)], [[[705.0, 718.0], [766.0, 718.0], [766.0, 750.0], [705.0, 750.0]], ('0.92', 0.9927940368652344)], [[[230.0, 767.0], [297.0, 770.0], [295.0, 798.0], [228.0, 794.0]], ('Round', 0.9979386329650879)], [[[695.0, 779.0], [765.0, 783.0], [764.0, 814.0], [693.0, 810.0]], ('-0.01', 0.9742452502250671)], [[[231.0, 798.0], [402.0, 804.0], [401.0, 830.0], [230.0, 824.0]], ('TAKE OUT Total', 0.9242172837257385)], [[[694.0, 811.0], [765.0, 814.0], [764.0, 846.0], [692.0, 843.0]], ('11.25', 0.9928779602050781)], [[[226.0, 827.0], [284.0, 830.0], [282.0, 860.0], [225.0, 856.0]], ('Cash', 0.997255802154541)], [[[694.0, 846.0], [765.0, 846.0], [765.0, 877.0], [694.0, 877.0]], ('20.00', 0.9911720156669617)], [[[225.0, 857.0], [306.0, 865.0], [303.0, 896.0], [222.0, 889.0]], ('Change', 0.9980698227882385)], [[[704.0, 876.0], [764.0, 880.0], [762.0, 912.0], [702.0, 909.0]], ('8.75', 0.8918777108192444)], [[[360.0, 929.0], [602.0, 941.0], [600.0, 967.0], [358.0, 955.0]], ('Bathroom Code:6481', 0.9339795708656311)], [[[287.0, 957.0], [682.0, 979.0], [680.0, 1005.0], [286.0, 983.0]], ('Your kids meal purchase between', 0.9447526335716248)], [[[272.0, 988.0], [694.0, 1013.0], [693.0, 1039.0], [271.0, 1014.0]], ('8/24 and 8/31 wi11 fund classroom', 0.9153102040290833)], [[[294.0, 1022.0], [667.0, 1045.0], [665.0, 1071.0], [292.0, 1048.0]], ('gardens across the USA.Bring', 0.9500002264976501)], [[[269.0, 1053.0], [708.0, 1083.0], [706.0, 1107.0], [267.0, 1078.0]], ('back your original receipt between', 0.9521186947822571)], [[[241.0, 1080.0], [719.0, 1111.0], [717.0, 1140.0], [239.0, 1109.0]], ('9/1 and 9/30 to get a free kids meal!', 0.9052926301956177)], [[[403.0, 1147.0], [563.0, 1162.0], [560.0, 1192.0], [400.0, 1177.0]], ('Check Closed', 0.9591896533966064)]]
{"store_name": "CHIPOTLE", "store_addr": "NewYork,NY10003 864Broadway", "telephone": "212-253-7860", "date": "08/30/2012", "time": "1:09PM", "subtotal": "10.34", "tax": "0.92", "total": "11.25", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Guacamole", "item_value": "2.07", "item_quantity": "1"}, {"item_key": "", "item_name": "CarnitasBowl", "item_value": "8.27", "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
[[[[190.0, 294.0], [567.0, 285.0], [567.0, 313.0], [190.0, 322.0]], ('Gourmet without attitude', 0.9762134552001953)], [[[185.0, 364.0], [574.0, 359.0], [575.0, 391.0], [186.0, 395.0]], ('5800 Northgate Drive, Sui', 0.8790054321289062)], [[[233.0, 402.0], [525.0, 399.0], [525.0, 428.0], [233.0, 431.0]], ('San Rafae1 ca 94901', 0.9334743022918701)], [[[298.0, 439.0], [482.0, 439.0], [482.0, 468.0], [298.0, 468.0]], ('415-507-0493', 0.9924703240394592)], [[[52.0, 468.0], [215.0, 475.0], [214.0, 503.0], [51.0, 496.0]], ('Host Gage', 0.9530256986618042)], [[[567.0, 470.0], [726.0, 470.0], [726.0, 499.0], [567.0, 499.0]], ('11/10/2914', 0.958171010017395)], [[[48.0, 501.0], [214.0, 507.0], [213.0, 535.0], [47.0, 529.0]], ('ORDER #644', 0.9520193934440613)], [[[613.0, 502.0], [732.0, 499.0], [733.0, 529.0], [614.0, 533.0]], ('835PM', 0.8525785207748413)], [[[651.0, 534.0], [736.0, 531.0], [737.0, 565.0], [652.0, 568.0]], ('10547', 0.9845059514045715)], [[[38.0, 607.0], [286.0, 609.0], [286.0, 641.0], [38.0, 638.0]], ('Chicken Burrito', 0.9673547148704529)], [[[674.0, 603.0], [750.0, 603.0], [750.0, 642.0], [674.0, 642.0]], ('6.70', 0.9360942244529724)], [[[66.0, 648.0], [218.0, 648.0], [218.0, 677.0], [66.0, 677.0]], ('Guacamole', 0.9918633699417114)], [[[679.0, 643.0], [755.0, 643.0], [755.0, 682.0], [679.0, 682.0]], ('1.95', 0.8701648712158203)], [[[29.0, 690.0], [233.0, 687.0], [234.0, 720.0], [30.0, 722.0]], ('Chips & Guac', 0.9355040192604065)], [[[681.0, 683.0], [759.0, 683.0], [759.0, 723.0], [681.0, 723.0]], ('3.30', 0.9187138080596924)], [[[28.0, 730.0], [230.0, 727.0], [231.0, 762.0], [29.0, 766.0]], ('Spring Water', 0.9634413719177246)], [[[683.0, 725.0], [763.0, 725.0], [763.0, 768.0], [683.0, 768.0]], ('2.35', 0.9321596026420593)], [[[23.0, 815.0], [159.0, 815.0], [159.0, 851.0], [23.0, 851.0]], ('Subtotal', 0.990044355392456)], [[[676.0, 811.0], [773.0, 811.0], [773.0, 854.0], [676.0, 854.0]], ('14.30', 0.9338340759277344)], [[[19.0, 859.0], [73.0, 859.0], [73.0, 899.0], [19.0, 899.0]], ('Tax', 0.9967210292816162)], [[[696.0, 857.0], [777.0, 857.0], [777.0, 902.0], [696.0, 902.0]], ('1.32', 0.9231326580047607)], [[[20.0, 950.0], [259.0, 950.0], [259.0, 985.0], [20.0, 985.0]], ('TAKE OUT Tota1', 0.8710099458694458)], [[[686.0, 948.0], [782.0, 948.0], [782.0, 994.0], [686.0, 994.0]], ('15.62', 0.9620245099067688)]]
{"store_name": "CHIPOTLE", "store_addr": "5800NorthgateDrive,Sui SanRafaelca94901", "telephone": "415-507-0493", "date": "11/10/2014", "time": "8:35PM", "subtotal": "14.30", "tax": "1.32", "total": "15.62", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenBurrito", "item_value": "6.70", "item_quantity": "1"}, {"item_key": "", "item_name": "Guacamole", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Chips&Guac", "item_value": "3.30", "item_quantity": "1"}, {"item_key": "", "item_name": "SpringWater", "item_value": "2.35", "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, 220.0], [515.0, 212.0], [516.0, 237.0], [252.0, 245.0]], ("Hensley's Top Shelf", 0.9361610412597656)], [[[227.0, 244.0], [529.0, 238.0], [530.0, 264.0], [227.0, 270.0]], ('1551 Garth Brooks Bivd', 0.8754169344902039)], [[[317.0, 266.0], [446.0, 262.0], [447.0, 292.0], [318.0, 296.0]], ('YukonOK', 0.9399928450584412)], [[[293.0, 291.0], [460.0, 288.0], [460.0, 318.0], [293.0, 320.0]], ('405\\265.4076', 0.9498670101165771)], [[[178.0, 343.0], [257.0, 340.0], [258.0, 363.0], [178.0, 366.0]], ('Check 29', 0.9489774703979492)], [[[496.0, 340.0], [575.0, 340.0], [575.0, 361.0], [496.0, 361.0]], ('Table 11', 0.9369111061096191)], [[[179.0, 366.0], [260.0, 366.0], [260.0, 388.0], [179.0, 388.0]], ('Shelby C', 0.9287689924240112)], [[[488.0, 364.0], [576.0, 360.0], [577.0, 383.0], [489.0, 387.0]], ('4/13/2014', 0.997909426689148)], [[[177.0, 390.0], [258.0, 386.0], [259.0, 408.0], [178.0, 412.0]], ('Guests 2', 0.9474090337753296)], [[[505.0, 386.0], [576.0, 383.0], [577.0, 406.0], [506.0, 409.0]], ('3:02PM', 0.9442427754402161)], [[[207.0, 438.0], [357.0, 438.0], [357.0, 455.0], [207.0, 455.0]], ('Corned Beef Hash', 0.9451782703399658)], [[[523.0, 433.0], [567.0, 430.0], [568.0, 454.0], [524.0, 457.0]], ('8.95', 0.9951426982879639)], [[[207.0, 459.0], [330.0, 459.0], [330.0, 480.0], [207.0, 480.0]], ('Eggs Benedict', 0.9493570923805237)], [[[523.0, 455.0], [568.0, 455.0], [568.0, 479.0], [523.0, 479.0]], ('0.00', 0.9970605969429016)], [[[214.0, 482.0], [358.0, 482.0], [358.0, 503.0], [214.0, 503.0]], ('Steak Meda1lion', 0.897765576839447)], [[[518.0, 478.0], [569.0, 478.0], [569.0, 501.0], [518.0, 501.0]], ('15.95', 0.9958083033561707)], [[[175.0, 531.0], [254.0, 531.0], [254.0, 553.0], [175.0, 553.0]], ('Subtotal', 0.9906984567642212)], [[[516.0, 527.0], [570.0, 525.0], [571.0, 549.0], [518.0, 551.0]], ('24.90', 0.9948717355728149)], [[[174.0, 555.0], [263.0, 555.0], [263.0, 577.0], [174.0, 577.0]], ('Sales Tax', 0.943073034286499)], [[[525.0, 550.0], [572.0, 550.0], [572.0, 574.0], [525.0, 574.0]], ('2.20', 0.9916089773178101)], [[[172.0, 601.0], [223.0, 601.0], [223.0, 625.0], [172.0, 625.0]], ('TOTAL', 0.9984879493713379)], [[[519.0, 597.0], [573.0, 597.0], [573.0, 621.0], [519.0, 621.0]], ('27.10', 0.9926837682723999)], [[[170.0, 649.0], [214.0, 649.0], [214.0, 672.0], [170.0, 672.0]], ('VISA', 0.9978774189949036)], [[[513.0, 644.0], [576.0, 644.0], [576.0, 670.0], [513.0, 670.0]], ('-27.10', 0.9642830491065979)], [[[189.0, 674.0], [406.0, 670.0], [406.0, 692.0], [190.0, 696.0]], ('Acct.XXXXXXXXXXXX8513', 0.7669886350631714)], [[[170.0, 699.0], [319.0, 696.0], [320.0, 718.0], [171.0, 721.0]], ('Approva1 054616', 0.9528251886367798)], [[[169.0, 725.0], [317.0, 721.0], [318.0, 750.0], [170.0, 754.0]], ('CHANGE DUE', 0.9648352861404419)], [[[502.0, 718.0], [566.0, 718.0], [566.0, 750.0], [502.0, 750.0]], ('0.00', 0.9972527027130127)], [[[160.0, 782.0], [588.0, 791.0], [588.0, 823.0], [160.0, 814.0]], ('NQANT AHL IDA', 0.5662503242492676)], [[[158.0, 867.0], [513.0, 871.0], [512.0, 896.0], [158.0, 892.0]], ('PENEATHTTHEREWSNO', 0.8836340308189392)], [[[153.0, 902.0], [385.0, 905.0], [384.0, 938.0], [152.0, 934.0]], ('MSRHANT CPY.', 0.7555804252624512)]]
{"store_name": "Hensley\u2019sTopShelf", "store_addr": "1551GarthBrooksBlvd Yukon,OK", "telephone": "405\\265.4076", "date": "4/13/2014", "time": "3:02PM", "subtotal": "24.90", "tax": "2.20", "total": "27.10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CornedBeefHash", "item_value": "8.95", "item_quantity": "1"}, {"item_key": "", "item_name": "EggsBenedict", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SteakMedallion", "item_value": "15.95", "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
[[[[301.0, 46.0], [592.0, 43.0], [593.0, 70.0], [302.0, 73.0]], ('Store 1320 Waurn Ponds', 0.93927401304245)], [[[337.0, 82.0], [573.0, 79.0], [574.0, 104.0], [338.0, 108.0]], ('ABN28142927642', 0.9967695474624634)], [[[327.0, 117.0], [563.0, 113.0], [564.0, 141.0], [328.0, 144.0]], ('TEL0352418855', 0.9960649013519287)], [[[300.0, 152.0], [574.0, 149.0], [575.0, 177.0], [301.0, 180.0]], ('RECEIPT Tax Invoice', 0.9555069804191589)], [[[173.0, 223.0], [445.0, 219.0], [445.0, 244.0], [173.0, 248.0]], ('0perator 35259 TH0MAS', 0.9093125462532043)], [[[174.0, 257.0], [577.0, 250.0], [578.0, 277.0], [174.0, 284.0]], ('Register 004 10-Dec-201709:28', 0.9605280756950378)], [[[176.0, 321.0], [269.0, 321.0], [269.0, 350.0], [176.0, 350.0]], ('Product', 0.9975275993347168)], [[[177.0, 353.0], [222.0, 353.0], [222.0, 385.0], [177.0, 385.0]], ('QTY', 0.9981234669685364)], [[[409.0, 349.0], [465.0, 349.0], [465.0, 380.0], [409.0, 380.0]], ('Each', 0.9984928369522095)], [[[654.0, 344.0], [721.0, 341.0], [723.0, 372.0], [655.0, 375.0]], ('Total', 0.9956369400024414)], [[[179.0, 420.0], [274.0, 418.0], [274.0, 446.0], [179.0, 448.0]], ('#165924', 0.9982373118400574)], [[[311.0, 419.0], [669.0, 411.0], [669.0, 435.0], [312.0, 443.0]], ('<<OS>>FRIDGE FREEZER ECLIPSE', 0.9614884257316589)], [[[309.0, 450.0], [425.0, 447.0], [426.0, 475.0], [310.0, 478.0]], ('38L ENGEL', 0.9452962875366211)], [[[411.0, 478.0], [504.0, 476.0], [504.0, 503.0], [411.0, 505.0]], ('@719.20', 0.9944872260093689)], [[[644.0, 470.0], [728.0, 468.0], [728.0, 496.0], [644.0, 498.0]], ('719.20', 0.9939319491386414)], [[[185.0, 515.0], [261.0, 512.0], [262.0, 541.0], [186.0, 544.0]], ('165925', 0.9993060231208801)], [[[300.0, 514.0], [701.0, 501.0], [701.0, 528.0], [301.0, 541.0]], ('<<DISC>><OS>>TRANSIT BAG MR4OF', 0.9146730899810791)], [[[310.0, 542.0], [377.0, 539.0], [378.0, 569.0], [311.0, 572.0]], ('ENGEL', 0.9978731274604797)], [[[673.0, 560.0], [733.0, 557.0], [735.0, 587.0], [674.0, 590.0]], ('0.00', 0.9971612691879272)], [[[412.0, 571.0], [479.0, 568.0], [480.0, 596.0], [414.0, 599.0]], ('@0.00', 0.972790539264679)], [[[190.0, 608.0], [659.0, 595.0], [660.0, 622.0], [190.0, 634.0]], ('MARKDOWN COMPETITOR PRICE -$111.20', 0.9387510418891907)], [[[651.0, 657.0], [738.0, 651.0], [740.0, 679.0], [653.0, 686.0]], ('719.20', 0.995011031627655)], [[[181.0, 670.0], [246.0, 670.0], [246.0, 696.0], [181.0, 696.0]], ('Total', 0.9837800860404968)], [[[653.0, 688.0], [740.0, 683.0], [742.0, 711.0], [655.0, 716.0]], ('719.20', 0.9969527721405029)], [[[178.0, 702.0], [258.0, 702.0], [258.0, 727.0], [178.0, 727.0]], ('EFTPOS', 0.9950515627861023)], [[[683.0, 750.0], [745.0, 747.0], [747.0, 777.0], [684.0, 780.0]], ('0.00', 0.9980977773666382)], [[[173.0, 763.0], [256.0, 766.0], [255.0, 796.0], [173.0, 793.0]], ('Change', 0.9978914856910706)], [[[172.0, 832.0], [748.0, 817.0], [749.0, 842.0], [172.0, 856.0]], ('******************************************', 0.9648036956787109)], [[[647.0, 854.0], [750.0, 849.0], [752.0, 879.0], [649.0, 883.0]], ('$318.80', 0.9947657585144043)], [[[170.0, 864.0], [344.0, 861.0], [345.0, 888.0], [170.0, 891.0]], ('TOTAL SAVINGS', 0.9665957689285278)]]
{"store_name": "Store1320WaurnPonds", "store_addr": "", "telephone": "(03)52418855", "date": "10-Dec-2017", "time": "09:28", "subtotal": "", "tax": "", "total": "719.20 719.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "<<OS>>FRIDGEFREEZERECLIPSE", "item_value": "719.20", "item_quantity": "1"}, {"item_key": "", "item_name": "38LENGEL", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "<<DISC>><<OS>>TRANSITBAGMR40F", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ENGEL", "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
[[[[83.0, 22.0], [181.0, 32.0], [180.0, 48.0], [81.0, 38.0]], ('CUSTOMER COPY', 0.9556298851966858)], [[[82.0, 50.0], [180.0, 62.0], [178.0, 79.0], [80.0, 67.0]], ('WALHART 1044', 0.9097122550010681)], [[[83.0, 65.0], [183.0, 77.0], [182.0, 93.0], [81.0, 81.0]], ('5050 TROUP HUY', 0.9186758995056152)], [[[83.0, 79.0], [182.0, 92.0], [181.0, 107.0], [81.0, 94.0]], ('TYLER.TX 75707', 0.9428614377975464)], [[[82.0, 106.0], [214.0, 122.0], [212.0, 139.0], [80.0, 123.0]], ('Maney Gran Dawna', 0.7618260383605957)], [[[208.0, 122.0], [298.0, 128.0], [297.0, 143.0], [207.0, 137.0]], ('Syctans,Inc.', 0.8516950607299805)], [[[79.0, 195.0], [197.0, 200.0], [196.0, 217.0], [78.0, 212.0]], ('Vate:05-14-2016', 0.8867095708847046)], [[[79.0, 209.0], [205.0, 213.0], [205.0, 230.0], [78.0, 226.0]], ('Tine:12:18:24 PH', 0.890056848526001)], [[[80.0, 236.0], [216.0, 240.0], [216.0, 256.0], [79.0, 252.0]], ('Sender Infarnatian:', 0.9478541016578674)], [[[79.0, 250.0], [182.0, 253.0], [182.0, 267.0], [78.0, 264.0]], ('RYAN A LANTRIP', 0.9370209574699402)], [[[80.0, 263.0], [202.0, 266.0], [202.0, 280.0], [79.0, 277.0]], ('3203 GATESBURY CI', 0.9214777946472168)], [[[80.0, 277.0], [197.0, 280.0], [197.0, 294.0], [79.0, 291.0]], ('HOUSTON.TK 77082', 0.9097294807434082)], [[[79.0, 291.0], [196.0, 293.0], [196.0, 307.0], [78.0, 305.0]], ('Phane:3612164083', 0.9528192281723022)], [[[78.0, 317.0], [232.0, 321.0], [232.0, 335.0], [77.0, 331.0]], ('Recipient Infornation', 0.9424270391464233)], [[[78.0, 331.0], [158.0, 333.0], [157.0, 347.0], [77.0, 345.0]], ('YING ZHANG', 0.9347736239433289)], [[[424.0, 323.0], [445.0, 323.0], [445.0, 331.0], [424.0, 331.0]], ('COrEs', 0.5598834753036499)], [[[77.0, 357.0], [274.0, 359.0], [274.0, 376.0], [77.0, 374.0]], ('Expected Destination: China', 0.946409285068512)], [[[77.0, 373.0], [177.0, 374.0], [177.0, 388.0], [77.0, 387.0]], ('Service Type:', 0.8934479355812073)], [[[77.0, 387.0], [246.0, 387.0], [246.0, 401.0], [77.0, 401.0]], ('10 Hinute Seruice-- yso', 0.8081997632980347)], [[[427.0, 401.0], [447.0, 401.0], [447.0, 412.0], [427.0, 412.0]], ('indw', 0.837446391582489)], [[[436.0, 394.0], [447.0, 394.0], [447.0, 402.0], [436.0, 402.0]], ('og.', 0.6760419011116028)], [[[75.0, 413.0], [270.0, 412.0], [270.0, 429.0], [75.0, 430.0]], ('Beference Nunber:449/0636', 0.9353442192077637)], [[[428.0, 412.0], [448.0, 412.0], [448.0, 423.0], [428.0, 423.0]], ('e.2.', 0.5249866843223572)], [[[429.0, 422.0], [447.0, 422.0], [447.0, 433.0], [429.0, 433.0]], ('insth', 0.5822725892066956)], [[[430.0, 432.0], [447.0, 432.0], [447.0, 443.0], [430.0, 443.0]], ('redf', 0.5715113282203674)], [[[76.0, 442.0], [328.0, 442.0], [328.0, 456.0], [76.0, 456.0]], ('Date Avariabte in Receive Country:', 0.8843343257904053)], [[[432.0, 444.0], [446.0, 444.0], [446.0, 452.0], [432.0, 452.0]], ('Spa', 0.5568987727165222)], [[[77.0, 458.0], [153.0, 458.0], [153.0, 469.0], [77.0, 469.0]], ('2016-05-15', 0.992569088935852)], [[[433.0, 454.0], [446.0, 454.0], [446.0, 463.0], [433.0, 463.0]], ('ber', 0.5074064135551453)], [[[75.0, 483.0], [264.0, 481.0], [264.0, 498.0], [75.0, 500.0]], ('*Hay be avai lable sooner*', 0.8931519985198975)], [[[437.0, 486.0], [447.0, 486.0], [447.0, 496.0], [437.0, 496.0]], ('son', 0.7290747761726379)], [[[73.0, 512.0], [280.0, 509.0], [280.0, 526.0], [73.0, 529.0]], ('Transfer Anaunt:400.00 USD', 0.908656120300293)], [[[439.0, 518.0], [447.0, 518.0], [447.0, 528.0], [439.0, 528.0]], ('ep', 0.5198624730110168)], [[[72.0, 528.0], [258.0, 524.0], [258.0, 541.0], [73.0, 545.0]], ('Transfer Fees:+9.50 USD', 0.9002304077148438)], [[[73.0, 544.0], [265.0, 539.0], [265.0, 554.0], [74.0, 559.0]], ('Tranfey Taxest0.0o USD', 0.7661753296852112)], [[[71.0, 573.0], [205.0, 568.0], [206.0, 585.0], [72.0, 590.0]], ('Tatal:409.50 USD', 0.9014222621917725)], [[[70.0, 604.0], [183.0, 600.0], [184.0, 617.0], [71.0, 621.0]], ('Exchange Rate:', 0.9491518139839172)], [[[69.0, 620.0], [214.0, 614.0], [215.0, 630.0], [70.0, 636.0]], ('1USD=1.0000 US0', 0.8672378659248352)], [[[70.0, 650.0], [284.0, 644.0], [284.0, 661.0], [71.0, 667.0]], ('Transfer Anaunt400.00 USD', 0.9342969655990601)], [[[69.0, 666.0], [239.0, 660.0], [239.0, 678.0], [70.0, 684.0]], ('Other Fees:-0.00 USD', 0.8798392415046692)], [[[68.0, 682.0], [246.0, 676.0], [246.0, 693.0], [69.0, 699.0]], ('Other Taxes:-0.00 US', 0.850479245185852)], [[[69.0, 712.0], [308.0, 704.0], [309.0, 721.0], [70.0, 729.0]], ('Total to Recipient:400.00 USD', 0.9117690920829773)], [[[429.0, 715.0], [448.0, 715.0], [448.0, 727.0], [429.0, 727.0]], ('OUtO', 0.5138909816741943)], [[[428.0, 727.0], [448.0, 727.0], [448.0, 739.0], [428.0, 739.0]], ('LEDB', 0.9642941951751709)], [[[427.0, 737.0], [448.0, 737.0], [448.0, 753.0], [427.0, 753.0]], ('NTON', 0.9830019474029541)], [[[429.0, 746.0], [449.0, 751.0], [446.0, 766.0], [425.0, 760.0]], ('HELD', 0.8804159164428711)], [[[427.0, 761.0], [449.0, 761.0], [449.0, 776.0], [427.0, 776.0]], ('MDF', 0.6714668273925781)], [[[428.0, 771.0], [449.0, 775.0], [448.0, 790.0], [426.0, 786.0]], ('USIVE', 0.9932838678359985)]]
{"store_name": "WAL*HART1044", "store_addr": "5050TROUPHWY TYLER.TX75707", "telephone": "", "date": "", "time": "12:18:24PM", "subtotal": "400.00USD", "tax": "+0.00USD -0.00USD", "total": "409.50USD", "ignore": " ", "tips": "+9.50USD", "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
[[[[108.0, 49.0], [175.0, 41.0], [177.0, 56.0], [110.0, 63.0]], ('BURGER', 0.9968525767326355)], [[[118.0, 83.0], [166.0, 81.0], [167.0, 91.0], [118.0, 93.0]], ('Tax mvotce', 0.7729873657226562)], [[[27.0, 114.0], [122.0, 116.0], [122.0, 129.0], [27.0, 126.0]], ('AN83600128739', 0.9120121002197266)], [[[23.0, 128.0], [141.0, 130.0], [141.0, 143.0], [23.0, 142.0]], ('ate12/05/201712:40', 0.932353675365448)], [[[28.0, 126.0], [81.0, 126.0], [81.0, 132.0], [28.0, 132.0]], ('UserzPetel', 0.7452210783958435)], [[[23.0, 140.0], [153.0, 140.0], [153.0, 150.0], [23.0, 150.0]], ('Teraina St Collins Pos 1', 0.8196195960044861)], [[[19.0, 150.0], [145.0, 150.0], [145.0, 162.0], [19.0, 162.0]], ('Inv01ce #043-0000120080', 0.9746626019477844)], [[[20.0, 159.0], [111.0, 161.0], [110.0, 175.0], [20.0, 173.0]], ('Order 16 ', 0.8723272085189819)], [[[24.0, 206.0], [106.0, 208.0], [106.0, 220.0], [24.0, 218.0]], ('*American Burger', 0.958142101764679)], [[[204.0, 206.0], [234.0, 209.0], [232.0, 223.0], [203.0, 220.0]], ('10.50', 0.9804855585098267)], [[[24.0, 217.0], [183.0, 218.0], [183.0, 232.0], [24.0, 231.0]], ('Salt And Sichuan Pepper Chips S', 0.9503676295280457)], [[[207.0, 219.0], [233.0, 219.0], [233.0, 234.0], [207.0, 234.0]], ('3.90', 0.9928783774375916)], [[[24.0, 230.0], [55.0, 230.0], [55.0, 243.0], [24.0, 243.0]], ('*Coke', 0.9383957982063293)], [[[207.0, 230.0], [232.0, 230.0], [232.0, 244.0], [207.0, 244.0]], ('3.50', 0.9917806386947632)], [[[145.0, 254.0], [230.0, 252.0], [230.0, 266.0], [145.0, 268.0]], ('Subtotal$17.90', 0.9656539559364319)], [[[111.0, 282.0], [254.0, 272.0], [256.0, 291.0], [112.0, 301.0]], ('Total for 3 tes$17.90', 0.905992865562439)], [[[160.0, 301.0], [228.0, 298.0], [228.0, 312.0], [161.0, 314.0]], ('Cash$17.90', 0.9560872316360474)], [[[31.0, 321.0], [80.0, 325.0], [78.0, 338.0], [30.0, 335.0]], ('GST 1t', 0.5322186350822449)], [[[85.0, 314.0], [187.0, 311.0], [188.0, 324.0], [86.0, 327.0]], ('GST INCLUDED IN TOTAL', 0.9378535747528076)], [[[199.0, 313.0], [228.0, 313.0], [228.0, 326.0], [199.0, 326.0]], ('$1.62', 0.9849337339401245)]]
{"store_name": "BURGER", "store_addr": "", "telephone": "", "date": "12/05/2017", "time": "12:40", "subtotal": "$17.90", "tax": "$1.62", "total": "$17.90", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "*AmericanBurger", "item_value": "10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "*SaltAndSichuanPepperChipsS", "item_value": "3.90", "item_quantity": "1"}, {"item_key": "", "item_name": "*Coke", "item_value": "3.50", "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
[[[[46.0, 34.0], [150.0, 34.0], [150.0, 59.0], [46.0, 59.0]], ('EAA', 0.945519208908081)], [[[158.0, 35.0], [428.0, 34.0], [428.0, 58.0], [158.0, 59.0]], ('AIRVENTURE', 0.9957822561264038)], [[[42.0, 72.0], [420.0, 72.0], [420.0, 120.0], [42.0, 120.0]], ('OSHKOSH', 0.9291710257530212)], [[[246.0, 133.0], [416.0, 133.0], [416.0, 183.0], [246.0, 183.0]], ('2015', 0.9987523555755615)], [[[45.0, 229.0], [93.0, 229.0], [93.0, 256.0], [45.0, 256.0]], ('DATE', 0.9974318742752075)], [[[207.0, 228.0], [315.0, 228.0], [315.0, 252.0], [207.0, 252.0]], ('07/15/2015', 0.9970772862434387)], [[[440.0, 227.0], [479.0, 227.0], [479.0, 253.0], [440.0, 253.0]], ('WED', 0.9728237986564636)], [[[112.0, 266.0], [283.0, 264.0], [283.0, 288.0], [113.0, 290.0]], ('CHEESE BURGER T1', 0.9458500146865845)], [[[420.0, 263.0], [478.0, 263.0], [478.0, 288.0], [420.0, 288.0]], ('$4.50', 0.9959012866020203)], [[[111.0, 303.0], [273.0, 299.0], [274.0, 323.0], [112.0, 327.0]], ('FRENCH FRIES T1', 0.9387080073356628)], [[[421.0, 299.0], [478.0, 299.0], [478.0, 324.0], [421.0, 324.0]], ('$3.00', 0.9984833002090454)], [[[111.0, 339.0], [199.0, 336.0], [199.0, 361.0], [112.0, 364.0]], ('PEPSI T1', 0.9171993732452393)], [[[422.0, 334.0], [479.0, 334.0], [479.0, 360.0], [422.0, 360.0]], ('$3.00', 0.9969428181648254)], [[[111.0, 375.0], [252.0, 371.0], [252.0, 395.0], [112.0, 399.0]], ('DIET PEPSIT1', 0.9410836100578308)], [[[422.0, 369.0], [479.0, 369.0], [479.0, 395.0], [422.0, 395.0]], ('$3.00', 0.9976622462272644)], [[[113.0, 409.0], [217.0, 406.0], [218.0, 431.0], [114.0, 434.0]], ('TOTAL', 0.9980265498161316)], [[[349.0, 408.0], [476.0, 405.0], [477.0, 429.0], [349.0, 432.0]], ('$13.50', 0.9968608021736145)], [[[113.0, 445.0], [200.0, 445.0], [200.0, 470.0], [113.0, 470.0]], ('CASH', 0.9979722499847412)], [[[350.0, 443.0], [477.0, 443.0], [477.0, 467.0], [350.0, 467.0]], ('$20.00', 0.989791214466095)], [[[114.0, 481.0], [180.0, 481.0], [180.0, 507.0], [114.0, 507.0]], ('CHANGE', 0.9988143444061279)], [[[424.0, 478.0], [481.0, 478.0], [481.0, 504.0], [424.0, 504.0]], ('$6.50', 0.9334120750427246)], [[[50.0, 519.0], [297.0, 516.0], [297.0, 539.0], [50.0, 542.0]], ('NO.000020 REG07 CASHIER', 0.8976365923881531)], [[[372.0, 514.0], [479.0, 514.0], [479.0, 538.0], [372.0, 538.0]], ('TIME 11:54', 0.9155327081680298)], [[[207.0, 589.0], [328.0, 589.0], [328.0, 609.0], [207.0, 609.0]], ('TIAR HERI', 0.8049878478050232)], [[[136.0, 635.0], [404.0, 633.0], [404.0, 653.0], [136.0, 655.0]], ('*ENTERTO WIN**', 0.8543500900268555)], [[[34.0, 721.0], [90.0, 721.0], [90.0, 746.0], [34.0, 746.0]], ('NAME', 0.9308388233184814)], [[[36.0, 790.0], [102.0, 790.0], [102.0, 812.0], [36.0, 812.0]], ('PHONI', 0.9001802206039429)]]
{"store_name": "OSHKOSH 2015", "store_addr": "", "telephone": "", "date": "07/15/2015", "time": "11.54", "subtotal": "", "tax": "", "total": "$13.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CHEESEBURGERT1", "item_value": "$4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FRENCHFRIEST1", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PEPSIT1", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DIETPEPSIT1", "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
[[[[76.0, 7.0], [248.0, 6.0], [248.0, 20.0], [76.0, 21.0]], ('Build-A-Bear Workshop', 0.9224110841751099)], [[[106.0, 39.0], [217.0, 38.0], [217.0, 52.0], [106.0, 53.0]], ('Dne Mi1ls C1rcle.Space632', 0.7499116659164429)], [[[133.0, 30.0], [191.0, 30.0], [191.0, 40.0], [133.0, 40.0]], ('Ontario Mt1ls', 0.7896617650985718)], [[[115.0, 58.0], [214.0, 58.0], [214.0, 72.0], [115.0, 72.0]], ('Teleph0ne9093960-0520', 0.8551637530326843)], [[[126.0, 50.0], [203.0, 49.0], [204.0, 60.0], [126.0, 61.0]], ('Ontar1o.CA 91764', 0.822999119758606)], [[[122.0, 76.0], [204.0, 77.0], [203.0, 88.0], [122.0, 87.0]], ('6/9/20165:13:00P', 0.9016226530075073)], [[[98.0, 86.0], [228.0, 86.0], [228.0, 99.0], [98.0, 99.0]], ('Inva1ce068576 Store134 03', 0.888333261013031)], [[[127.0, 96.0], [192.0, 96.0], [192.0, 106.0], [127.0, 106.0]], ('Cashter Michae', 0.8931938409805298)], [[[154.0, 120.0], [177.0, 123.0], [175.0, 138.0], [152.0, 135.0]], ('SALE', 0.9941924810409546)], [[[78.0, 143.0], [200.0, 142.0], [200.0, 155.0], [78.0, 156.0]], ('000000023115 STRMTRPR BLASTER', 0.8857005834579468)], [[[229.0, 143.0], [253.0, 143.0], [253.0, 155.0], [229.0, 155.0]], ('12.00', 0.9889647364616394)], [[[78.0, 153.0], [203.0, 152.0], [203.0, 163.0], [78.0, 164.0]], ('000000323003 ST0RMTR00PER BEAR', 0.8937663435935974)], [[[229.0, 152.0], [253.0, 152.0], [253.0, 164.0], [229.0, 164.0]], ('35.00', 0.9787734150886536)], [[[76.0, 163.0], [204.0, 161.0], [205.0, 174.0], [76.0, 176.0]], ('00000016690.UNVSTARMARS SNG', 0.8369948863983154)], [[[232.0, 162.0], [254.0, 162.0], [254.0, 174.0], [232.0, 174.0]], ("00'8", 0.6549206972122192)], [[[77.0, 172.0], [204.0, 171.0], [205.0, 185.0], [77.0, 186.0]], ('000000023567FLONERJELLYSNDL', 0.8696781992912292)], [[[231.0, 181.0], [254.0, 181.0], [254.0, 193.0], [231.0, 193.0]], ('12.50', 0.950779139995575)], [[[234.0, 172.0], [254.0, 172.0], [254.0, 183.0], [234.0, 183.0]], ('7.00', 0.9756603240966797)], [[[77.0, 182.0], [204.0, 181.0], [204.0, 194.0], [77.0, 195.0]], ('000000023547PALM TREE SKRT ST', 0.921436071395874)], [[[77.0, 192.0], [193.0, 192.0], [193.0, 205.0], [77.0, 205.0]], ('II S90T 60000000', 0.5228209495544434)], [[[232.0, 192.0], [256.0, 192.0], [256.0, 203.0], [232.0, 203.0]], ('16.00', 0.9948994517326355)], [[[76.0, 212.0], [114.0, 214.0], [114.0, 226.0], [76.0, 224.0]], ('Subtotal', 0.9336736798286438)], [[[228.0, 212.0], [255.0, 212.0], [255.0, 223.0], [228.0, 223.0]], ('$90.50', 0.9891851544380188)], [[[76.0, 224.0], [147.0, 224.0], [147.0, 235.0], [76.0, 235.0]], ('Sales Tax 8.000%', 0.9105839133262634)], [[[236.0, 222.0], [256.0, 222.0], [256.0, 234.0], [236.0, 234.0]], ('7.24', 0.984968364238739)], [[[76.0, 245.0], [100.0, 245.0], [100.0, 256.0], [76.0, 256.0]], ('Total', 0.9047609567642212)], [[[225.0, 252.0], [259.0, 252.0], [259.0, 266.0], [225.0, 266.0]], ('$100.00', 0.9917545318603516)], [[[229.0, 243.0], [258.0, 243.0], [258.0, 254.0], [229.0, 254.0]], ('$97.74', 0.982539176940918)], [[[75.0, 256.0], [96.0, 256.0], [96.0, 267.0], [75.0, 267.0]], ('Casn', 0.5012292861938477)], [[[75.0, 267.0], [126.0, 267.0], [126.0, 278.0], [75.0, 278.0]], ('Cash Change', 0.9064927697181702)], [[[234.0, 264.0], [259.0, 264.0], [259.0, 275.0], [234.0, 275.0]], ('32.26', 0.8550437688827515)], [[[122.0, 296.0], [210.0, 295.0], [210.0, 310.0], [122.0, 311.0]], ('Itens Returmed0', 0.8789028525352478)], [[[132.0, 287.0], [201.0, 287.0], [201.0, 298.0], [132.0, 298.0]], ('ItensSo1d:6', 0.8396890759468079)], [[[118.0, 319.0], [213.0, 318.0], [213.0, 332.0], [118.0, 334.0]], ('Thank you beary much', 0.8958612680435181)], [[[126.0, 332.0], [209.0, 329.0], [209.0, 340.0], [126.0, 343.0]], ('WN.BUILDABEAR.COM', 0.8690769076347351)], [[[135.0, 365.0], [199.0, 365.0], [199.0, 379.0], [135.0, 379.0]], ('Receipt Code:', 0.8911644816398621)], [[[113.0, 377.0], [221.0, 377.0], [221.0, 390.0], [113.0, 390.0]], ('0134-058576-3701-090306', 0.9689485430717468)]]
{"store_name": "Build-A-BearWorkshop OntarioMills", "store_addr": "", "telephone": "(909)960-0520", "date": "6/9/2016", "time": "5:13:00PM", "subtotal": "$90.50", "tax": "7.24", "total": "$97.74", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "000000023115STRMTRPABLASTER", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "000000023003STORMTROCPERBEAR", "item_value": "35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "000000016890UNVSTARMARSSNG", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "000000023547PALMTREESKRTST", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "000000021709HAPPYHUGSIII", "item_value": "12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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
[[[[182.0, 187.0], [253.0, 194.0], [251.0, 216.0], [179.0, 209.0]], ('KELLY Z', 0.9125080108642578)], [[[180.0, 211.0], [406.0, 224.0], [405.0, 246.0], [179.0, 233.0]], ('T5 BAR RIGHT', 0.9248557090759277)], [[[196.0, 258.0], [248.0, 258.0], [248.0, 278.0], [196.0, 278.0]], ('BUDLI', 0.9944583773612976)], [[[520.0, 262.0], [564.0, 262.0], [564.0, 282.0], [520.0, 282.0]], ('0.00', 0.9978248476982117)], [[[175.0, 278.0], [303.0, 283.0], [302.0, 304.0], [174.0, 300.0]], ('1 BUD LT PINT', 0.912356972694397)], [[[520.0, 284.0], [565.0, 284.0], [565.0, 307.0], [520.0, 307.0]], ('7.75', 0.9924799203872681)], [[[366.0, 332.0], [464.0, 332.0], [464.0, 354.0], [366.0, 354.0]], ('Sub Total:', 0.9172152280807495)], [[[520.0, 330.0], [565.0, 330.0], [565.0, 353.0], [520.0, 353.0]], ('7.75', 0.9862575531005859)], [[[359.0, 351.0], [393.0, 357.0], [389.0, 379.0], [355.0, 373.0]], ('Tax', 0.9956094622612)], [[[520.0, 352.0], [565.0, 355.0], [564.0, 377.0], [518.0, 375.0]], ('0.69', 0.993194580078125)], [[[366.0, 377.0], [464.0, 379.0], [463.0, 402.0], [365.0, 400.0]], ('Sub Total:', 0.9305607080459595)], [[[520.0, 377.0], [566.0, 377.0], [566.0, 400.0], [520.0, 400.0]], ('8.44', 0.9975776076316833)], [[[169.0, 393.0], [400.0, 402.0], [399.0, 423.0], [168.0, 414.0]], ('06/307:30pTOTAL', 0.9260769486427307)], [[[481.0, 400.0], [564.0, 402.0], [563.0, 425.0], [480.0, 423.0]], ('8.44', 0.9971194863319397)], [[[167.0, 443.0], [346.0, 447.0], [346.0, 469.0], [166.0, 464.0]], ('Suggested Gratuity', 0.9841815233230591)], [[[174.0, 465.0], [278.0, 469.0], [278.0, 491.0], [173.0, 487.0]], ('GD SVC 15%', 0.9165565371513367)], [[[333.0, 471.0], [378.0, 471.0], [378.0, 494.0], [333.0, 494.0]], ('1.16', 0.9928135871887207)], [[[163.0, 490.0], [276.0, 494.0], [275.0, 515.0], [163.0, 511.0]], ('GRT SVC 18%', 0.9259935617446899)], [[[333.0, 495.0], [377.0, 495.0], [377.0, 518.0], [333.0, 518.0]], ('1.40', 0.9929910898208618)], [[[162.0, 514.0], [275.0, 518.0], [274.0, 540.0], [162.0, 536.0]], ('EXL SVC 20%', 0.8870375156402588)], [[[332.0, 519.0], [377.0, 519.0], [377.0, 543.0], [332.0, 543.0]], ('1.55', 0.9936447739601135)], [[[211.0, 565.0], [503.0, 572.0], [503.0, 593.0], [211.0, 586.0]], ('211 WEST 34TH ST.NYNY10001', 0.9251730442047119)], [[[300.0, 593.0], [423.0, 596.0], [422.0, 618.0], [299.0, 614.0]], ('212-564-0539', 0.994607150554657)], [[[464.0, 622.0], [566.0, 622.0], [566.0, 647.0], [464.0, 647.0]], ('THANK', 0.9981258511543274)], [[[156.0, 641.0], [218.0, 641.0], [218.0, 664.0], [156.0, 664.0]], ('YOU', 0.9956872463226318)], [[[216.0, 668.0], [505.0, 674.0], [505.0, 696.0], [215.0, 689.0]], ('Visit our other Restaurants', 0.9725244045257568)], [[[276.0, 695.0], [431.0, 698.0], [430.0, 720.0], [276.0, 717.0]], ("T.G.I.FRIDAY'S-", 0.9686332941055298)], [[[316.0, 722.0], [400.0, 725.0], [399.0, 748.0], [315.0, 744.0]], ("LINDY'S,", 0.9704937934875488)], [[[191.0, 746.0], [517.0, 754.0], [516.0, 776.0], [190.0, 768.0]], ("NATHAN'SPIZZA HUTTAD'SKFC", 0.9573268294334412)], [[[171.0, 773.0], [536.0, 781.0], [536.0, 803.0], [170.0, 795.0]], ("TIM HORTON'STACO BELLHAAGEN DAZ", 0.9547930359840393)], [[[273.0, 804.0], [432.0, 807.0], [431.0, 825.0], [273.0, 822.0]], ('***************', 0.960768461227417)], [[[240.0, 830.0], [464.0, 835.0], [463.0, 856.0], [240.0, 852.0]], ('GRATUITY NOT INCLUDED', 0.9553709626197815)], [[[271.0, 859.0], [431.0, 864.0], [430.0, 882.0], [270.0, 878.0]], ('***************', 0.9537009000778198)], [[[227.0, 885.0], [473.0, 892.0], [473.0, 914.0], [227.0, 907.0]], ('ON PARTIES OF 8 OR MORE', 0.9086250066757202)], [[[256.0, 914.0], [452.0, 919.0], [451.0, 940.0], [256.0, 935.0]], ('A MINIMUM GRATUITY', 0.9551246166229248)], [[[246.0, 938.0], [452.0, 945.0], [451.0, 970.0], [245.0, 963.0]], ('OF 18% IS SUGGESTED', 0.9187409281730652)]]
{"store_name": "T.G.I.FRIDAY'S- T.G.I.FRIDAY'S", "store_addr": "211WEST34THST.NY,NY10001", "telephone": "212-564-0539", "date": "06/30 06/30/17", "time": "7:30p 7:30p", "subtotal": "7.75", "tax": "0.69", "total": "8,44 8.44", "ignore": "", "tips": "1.55 1.40 1.16", "line_items": [{"item_key": "", "item_name": "BUDLTPINT", "item_value": "7.75", "item_quantity": "1"}, {"item_key": "", "item_name": "BUDLI", "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
[[[[89.0, 8.0], [241.0, 1.0], [241.0, 15.0], [89.0, 22.0]], ('RETRO JUNCTION', 0.9675070643424988)], [[[98.0, 18.0], [229.0, 11.0], [230.0, 24.0], [98.0, 32.0]], ('GAS AND DELI', 0.9411906599998474)], [[[139.0, 27.0], [188.0, 24.0], [189.0, 37.0], [140.0, 40.0]], ('10065191', 0.9763854742050171)], [[[108.0, 40.0], [188.0, 36.0], [189.0, 50.0], [108.0, 54.0]], ('RETRO JUNCTION', 0.9566994309425354)], [[[110.0, 50.0], [205.0, 46.0], [206.0, 64.0], [110.0, 67.0]], ('7010 N CEDAR AVE', 0.933735728263855)], [[[93.0, 64.0], [130.0, 64.0], [130.0, 78.0], [93.0, 78.0]], ('FRESND', 0.9553332924842834)], [[[185.0, 62.0], [236.0, 57.0], [238.0, 71.0], [187.0, 76.0]], ('CA 93720', 0.9242463707923889)], [[[48.0, 104.0], [135.0, 102.0], [136.0, 116.0], [49.0, 118.0]], ('<CUSTOMER COPY>', 0.9572169184684753)], [[[56.0, 131.0], [126.0, 131.0], [126.0, 145.0], [56.0, 145.0]], ('Description', 0.9950633645057678)], [[[186.0, 128.0], [207.0, 128.0], [207.0, 143.0], [186.0, 143.0]], ('Qty', 0.9877274036407471)], [[[239.0, 126.0], [279.0, 123.0], [280.0, 138.0], [240.0, 141.0]], ('Amount', 0.9954940676689148)], [[[53.0, 159.0], [136.0, 158.0], [136.0, 172.0], [53.0, 173.0]], ('BURGER SINGLE', 0.9706264138221741)], [[[197.0, 156.0], [209.0, 156.0], [209.0, 170.0], [197.0, 170.0]], ('1', 0.7447840571403503)], [[[252.0, 153.0], [282.0, 153.0], [282.0, 168.0], [252.0, 168.0]], ('5.61', 0.9946470260620117)], [[[57.0, 175.0], [147.0, 172.0], [147.0, 186.0], [58.0, 189.0]], ('6.99Dsc-1.38', 0.9437651634216309)], [[[36.0, 191.0], [55.0, 191.0], [55.0, 202.0], [36.0, 202.0]], ('T', 0.668013870716095)], [[[51.0, 189.0], [135.0, 186.0], [136.0, 200.0], [52.0, 203.0]], ('BURGER DOUBLE', 0.9657538533210754)], [[[199.0, 183.0], [212.0, 186.0], [209.0, 201.0], [196.0, 198.0]], ('2', 0.9827972650527954)], [[[251.0, 183.0], [285.0, 183.0], [285.0, 198.0], [251.0, 198.0]], ('15.98', 0.995803713798523)], [[[32.0, 204.0], [164.0, 200.0], [164.0, 213.0], [33.0, 218.0]], ('T 32Z FOUNTAIN DRINK', 0.920129120349884)], [[[201.0, 200.0], [210.0, 200.0], [210.0, 213.0], [201.0, 213.0]], ('1', 0.7773362398147583)], [[[256.0, 198.0], [287.0, 198.0], [287.0, 213.0], [256.0, 213.0]], ('0.95', 0.9962471127510071)], [[[57.0, 219.0], [146.0, 215.0], [146.0, 229.0], [58.0, 233.0]], ('1.19Dsc-0.24', 0.9617314338684082)], [[[49.0, 232.0], [121.0, 231.0], [122.0, 246.0], [50.0, 247.0]], ('LARGE SHAKE', 0.9488940834999084)], [[[200.0, 229.0], [213.0, 229.0], [213.0, 245.0], [200.0, 245.0]], ('2', 0.9967419505119324)], [[[259.0, 228.0], [290.0, 228.0], [290.0, 244.0], [259.0, 244.0]], ('9.98', 0.9971873164176941)], [[[30.0, 248.0], [128.0, 246.0], [129.0, 263.0], [30.0, 265.0]], ('T FRENCH FRIES', 0.9396476149559021)], [[[201.0, 245.0], [214.0, 245.0], [214.0, 261.0], [201.0, 261.0]], ('2', 0.9948458671569824)], [[[260.0, 244.0], [293.0, 244.0], [293.0, 261.0], [260.0, 261.0]], ('3.22', 0.9941051602363586)], [[[52.0, 265.0], [146.0, 264.0], [146.0, 279.0], [53.0, 280.0]], ('3.58Dsc-0.36', 0.9669699668884277)], [[[149.0, 297.0], [207.0, 297.0], [207.0, 314.0], [149.0, 314.0]], ('Subtotal', 0.995598554611206)], [[[258.0, 295.0], [298.0, 295.0], [298.0, 313.0], [258.0, 313.0]], ('35.74', 0.9931427240371704)], [[[184.0, 315.0], [209.0, 315.0], [209.0, 332.0], [184.0, 332.0]], ('Tax', 0.994999349117279)], [[[265.0, 312.0], [300.0, 312.0], [300.0, 331.0], [265.0, 331.0]], ('2.05', 0.9948986172676086)], [[[96.0, 334.0], [158.0, 334.0], [158.0, 347.0], [96.0, 347.0]], ('TOTAL', 0.9972241520881653)], [[[231.0, 331.0], [304.0, 331.0], [304.0, 347.0], [231.0, 347.0]], ('37.79', 0.98646479845047)]]
{"store_name": "RETROJUNCTION GASANDDELI", "store_addr": "7010NCEDARAVE FRESND CA93720", "telephone": "", "date": "", "time": "", "subtotal": "35.74", "tax": "2.05", "total": "37.79", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BURGERSINGLE", "item_value": "5.61", "item_quantity": "1"}, {"item_key": "", "item_name": "BURGERDOUBLE", "item_value": "15.98", "item_quantity": "1"}, {"item_key": "", "item_name": "32ZFOUNTAINDRINK", "item_value": "0.95", "item_quantity": "1"}, {"item_key": "", "item_name": "LARGESHAKE", "item_value": "9.98", "item_quantity": "1"}, {"item_key": "", "item_name": "FRENCHFRIES", "item_value": "3.22", "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
[[[[442.0, 321.0], [694.0, 339.0], [690.0, 379.0], [439.0, 361.0]], ('The Loft Restaurant', 0.9695490598678589)], [[[454.0, 387.0], [643.0, 406.0], [639.0, 441.0], [450.0, 422.0]], ('56 Main Street', 0.9606037139892578)], [[[509.0, 427.0], [594.0, 438.0], [590.0, 469.0], [504.0, 459.0]], ('Arklow', 0.9928485751152039)], [[[483.0, 455.0], [623.0, 471.0], [619.0, 506.0], [479.0, 491.0]], ('040241418', 0.9925761818885803)], [[[283.0, 543.0], [663.0, 564.0], [660.0, 604.0], [281.0, 583.0]], ('Date:Nov 112011 23:00:54', 0.9113113880157471)], [[[285.0, 614.0], [583.0, 634.0], [581.0, 667.0], [283.0, 648.0]], ('TableTransId:5029996', 0.9715955853462219)], [[[285.0, 653.0], [518.0, 667.0], [516.0, 701.0], [283.0, 686.0]], ('TransId: 5029996', 0.9496579170227051)], [[[283.0, 689.0], [546.0, 704.0], [544.0, 737.0], [281.0, 723.0]], ('Table:Bar-5029996', 0.9311642050743103)], [[[281.0, 728.0], [545.0, 741.0], [544.0, 774.0], [280.0, 761.0]], ('Server: Lisa Marie', 0.9328434467315674)], [[[281.0, 765.0], [573.0, 777.0], [571.0, 812.0], [280.0, 800.0]], ('Current Term: touch3', 0.9517073631286621)], [[[828.0, 829.0], [899.0, 824.0], [902.0, 863.0], [830.0, 867.0]], ('5.50', 0.990248441696167)], [[[317.0, 843.0], [445.0, 847.0], [444.0, 884.0], [315.0, 880.0]], ('Crostini', 0.9966654777526855)], [[[833.0, 867.0], [905.0, 867.0], [905.0, 905.0], [833.0, 905.0]], ('7.50', 0.9895116686820984)], [[[316.0, 885.0], [493.0, 889.0], [492.0, 924.0], [315.0, 920.0]], ('Tiger Prawn', 0.9753323197364807)], [[[825.0, 905.0], [906.0, 905.0], [906.0, 943.0], [825.0, 943.0]], ('12.95', 0.9819203615188599)], [[[321.0, 925.0], [564.0, 925.0], [564.0, 958.0], [321.0, 958.0]], ('Carn Fed Chicken', 0.9554891586303711)], [[[826.0, 946.0], [910.0, 941.0], [912.0, 979.0], [828.0, 984.0]], ('13.95', 0.9681046605110168)], [[[316.0, 965.0], [635.0, 963.0], [635.0, 998.0], [316.0, 1000.0]], ('Undyed Smoked Haddock', 0.94966059923172)], [[[841.0, 986.0], [915.0, 981.0], [917.0, 1019.0], [844.0, 1024.0]], ('8.40', 0.972460150718689)], [[[267.0, 1001.0], [476.0, 1005.0], [475.0, 1045.0], [266.0, 1041.0]], ('2 Pint Lager', 0.9472994804382324)], [[[845.0, 1025.0], [918.0, 1021.0], [921.0, 1061.0], [847.0, 1066.0]], ('2.20', 0.9795510768890381)], [[[272.0, 1050.0], [326.0, 1050.0], [326.0, 1082.0], [272.0, 1082.0]], ('1', 0.8804710507392883)], [[[314.0, 1047.0], [402.0, 1047.0], [402.0, 1083.0], [314.0, 1083.0]], ('Split', 0.9983685612678528)], [[[836.0, 1066.0], [922.0, 1061.0], [924.0, 1104.0], [839.0, 1109.0]], ('15.99', 0.9901169538497925)], [[[275.0, 1095.0], [328.0, 1095.0], [328.0, 1120.0], [275.0, 1120.0]], ('1', 0.8294988870620728)], [[[312.0, 1089.0], [595.0, 1083.0], [596.0, 1118.0], [313.0, 1124.0]], ('Cono Sur Sav Blanc', 0.9478161334991455)], [[[840.0, 1151.0], [930.0, 1146.0], [933.0, 1189.0], [842.0, 1194.0]], ('66.49', 0.9848011136054993)], [[[266.0, 1170.0], [398.0, 1166.0], [399.0, 1208.0], [267.0, 1212.0]], ('Subtotal', 0.9960132241249084)], [[[843.0, 1196.0], [934.0, 1191.0], [936.0, 1233.0], [845.0, 1237.0]], ('66.49', 0.9718486666679382)], [[[266.0, 1213.0], [355.0, 1213.0], [355.0, 1257.0], [266.0, 1257.0]], ('Total', 0.9977906942367554)], [[[845.0, 1238.0], [939.0, 1238.0], [939.0, 1280.0], [845.0, 1280.0]], ('66.49', 0.9793203473091125)], [[[266.0, 1260.0], [338.0, 1260.0], [338.0, 1300.0], [266.0, 1300.0]], ('Cash', 0.9973818063735962)], [[[865.0, 1284.0], [944.0, 1279.0], [946.0, 1323.0], [868.0, 1327.0]], ('0.00', 0.993118166923523)], [[[265.0, 1307.0], [384.0, 1307.0], [384.0, 1343.0], [265.0, 1343.0]], ('Balance', 0.9977883696556091)], [[[494.0, 1520.0], [675.0, 1516.0], [676.0, 1558.0], [495.0, 1562.0]], ('THANK YOU !', 0.9041850566864014)]]
{"store_name": "TheFiftySixBar&Lounge", "store_addr": "56MainStreet Arklow", "telephone": "040241418", "date": "Nov11,2011", "time": "23:00:54", "subtotal": "66,49", "tax": "", "total": "66,49", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Crostini", "item_value": "5,50", "item_quantity": "1"}, {"item_key": "", "item_name": "TigerPrawn", "item_value": "7,50", "item_quantity": "1"}, {"item_key": "", "item_name": "CornFedChicken", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "UndyedSmokedHaddock", "item_value": "13,95", "item_quantity": "1"}, {"item_key": "", "item_name": "PintLager", "item_value": "8,40", "item_quantity": "1"}, {"item_key": "", "item_name": "Split", "item_value": "2.20", "item_quantity": "1"}, {"item_key": "", "item_name": "ConoSurSavBlanc", "item_value": "15,99", "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
[[[[88.0, 42.0], [153.0, 42.0], [153.0, 56.0], [88.0, 56.0]], ('CAFE MATISSE', 0.9523444175720215)], [[[27.0, 69.0], [97.0, 69.0], [97.0, 80.0], [27.0, 80.0]], ('Check77550', 0.9851903915405273)], [[[124.0, 69.0], [181.0, 67.0], [182.0, 81.0], [125.0, 84.0]], ('Guests:2', 0.9227391481399536)], [[[26.0, 81.0], [104.0, 81.0], [104.0, 94.0], [26.0, 94.0]], ('Date05/11/13', 0.9878336787223816)], [[[126.0, 81.0], [196.0, 81.0], [196.0, 95.0], [126.0, 95.0]], ('Tie08:10pm', 0.8300728797912598)], [[[28.0, 96.0], [93.0, 96.0], [93.0, 107.0], [28.0, 107.0]], ('Terainal:1', 0.8444477915763855)], [[[125.0, 93.0], [171.0, 96.0], [170.0, 110.0], [124.0, 107.0]], ('Table:20', 0.8719584941864014)], [[[22.0, 107.0], [206.0, 106.0], [206.0, 121.0], [22.0, 122.0]], ('You have been served by -> KRISTEN', 0.9122714400291443)], [[[9.0, 148.0], [64.0, 148.0], [64.0, 159.0], [9.0, 159.0]], ('[Seat1]', 0.8618868589401245)], [[[6.0, 158.0], [68.0, 160.0], [67.0, 174.0], [5.0, 172.0]], ('Pinot Grigo', 0.9672756791114807)], [[[192.0, 158.0], [227.0, 158.0], [227.0, 172.0], [192.0, 172.0]], ('$11.00', 0.9880557060241699)], [[[7.0, 171.0], [67.0, 173.0], [67.0, 186.0], [6.0, 184.0]], ('Pinot Grigo', 0.9376813769340515)], [[[193.0, 172.0], [226.0, 172.0], [226.0, 183.0], [193.0, 183.0]], ('001$', 0.8819783329963684)], [[[8.0, 185.0], [63.0, 185.0], [63.0, 196.0], [8.0, 196.0]], ('Stone Crab', 0.9414507150650024)], [[[192.0, 183.0], [227.0, 183.0], [227.0, 197.0], [192.0, 197.0]], ('$27.00', 0.9910202026367188)], [[[7.0, 196.0], [109.0, 195.0], [109.0, 209.0], [7.0, 210.0]], ('CANNELLONI SPINACH', 0.9501993656158447)], [[[193.0, 197.0], [226.0, 197.0], [226.0, 208.0], [193.0, 208.0]], ('$24.00', 0.9918496012687683)], [[[8.0, 210.0], [99.0, 210.0], [99.0, 223.0], [8.0, 223.0]], ('GRILLED VEAL CHOP', 0.9302639365196228)], [[[193.0, 209.0], [226.0, 209.0], [226.0, 220.0], [193.0, 220.0]], ('$44.00', 0.992230236530304)], [[[6.0, 223.0], [54.0, 221.0], [55.0, 235.0], [7.0, 237.0]], ('Course2', 0.9865854382514954)], [[[194.0, 220.0], [225.0, 218.0], [226.0, 232.0], [195.0, 234.0]], ('$0.00', 0.9854324460029602)], [[[7.0, 234.0], [84.0, 233.0], [84.0, 247.0], [8.0, 248.0]], ('AVOCADO MOUSSE', 0.9499207735061646)], [[[192.0, 232.0], [226.0, 232.0], [226.0, 246.0], [192.0, 246.0]], ('$12.00', 0.9924967288970947)], [[[9.0, 249.0], [54.0, 249.0], [54.0, 260.0], [9.0, 260.0]], ('Zabayone', 0.993840754032135)], [[[193.0, 246.0], [225.0, 246.0], [225.0, 257.0], [193.0, 257.0]], ('$12.00', 0.9909464716911316)], [[[6.0, 260.0], [89.0, 258.0], [90.0, 272.0], [7.0, 274.0]], ('Aser ican Coffee', 0.9096485376358032)], [[[196.0, 257.0], [226.0, 257.0], [226.0, 271.0], [196.0, 271.0]], ('$2.50', 0.99211186170578)], [[[7.0, 274.0], [65.0, 272.0], [65.0, 286.0], [8.0, 288.0]], ('Cappuccino', 0.9936203956604004)], [[[196.0, 269.0], [226.0, 269.0], [226.0, 283.0], [196.0, 283.0]], ('$5.00', 0.9892703890800476)], [[[61.0, 298.0], [107.0, 298.0], [107.0, 309.0], [61.0, 309.0]], ('Subtotal', 0.9572529196739197)], [[[183.0, 294.0], [223.0, 294.0], [223.0, 308.0], [183.0, 308.0]], ('$148.50', 0.988183856010437)], [[[61.0, 311.0], [108.0, 311.0], [108.0, 322.0], [61.0, 322.0]], ('Gratulty:', 0.9401295185089111)], [[[187.0, 306.0], [221.0, 306.0], [221.0, 320.0], [187.0, 320.0]], ('$22.28', 0.9830880165100098)], [[[64.0, 322.0], [110.0, 322.0], [110.0, 336.0], [64.0, 336.0]], ('Ant Due', 0.8534228205680847)], [[[149.0, 319.0], [220.0, 319.0], [220.0, 333.0], [149.0, 333.0]], ('$170.78', 0.9944878220558167)], [[[9.0, 350.0], [65.0, 350.0], [65.0, 364.0], [9.0, 364.0]], ('SOFTDRINKS', 0.9731378555297852)], [[[121.0, 346.0], [154.0, 343.0], [155.0, 357.0], [122.0, 360.0]], ('$0.CO', 0.7694302201271057)], [[[8.0, 363.0], [29.0, 363.0], [29.0, 378.0], [8.0, 378.0]], ('LIQ', 0.986509382724762)], [[[131.0, 358.0], [162.0, 358.0], [162.0, 372.0], [131.0, 372.0]], ('$0.00', 0.9874931573867798)], [[[6.0, 376.0], [34.0, 374.0], [35.0, 390.0], [7.0, 391.0]], ('FOOD', 0.96368008852005)], [[[123.0, 371.0], [163.0, 371.0], [163.0, 385.0], [123.0, 385.0]], ('$119.00', 0.990384042263031)], [[[8.0, 389.0], [40.0, 389.0], [40.0, 403.0], [8.0, 403.0]], ('BEERS', 0.9938125610351562)], [[[127.0, 384.0], [158.0, 384.0], [158.0, 398.0], [127.0, 398.0]], ('$0.00', 0.993730366230011)], [[[9.0, 404.0], [33.0, 404.0], [33.0, 416.0], [9.0, 416.0]], ('WINE', 0.8032441139221191)], [[[121.0, 398.0], [158.0, 395.0], [158.0, 409.0], [122.0, 411.0]], ('$22.00', 0.9924481511116028)], [[[63.0, 413.0], [174.0, 407.0], [174.0, 422.0], [64.0, 428.0]], ('Thank You!!', 0.9036855101585388)]]
{"store_name": "CAFEMATISSE", "store_addr": "", "telephone": "", "date": "05/11/13", "time": "08:10pm", "subtotal": "$148.50", "tax": "", "total": "", "ignore": "", "tips": "$22.28", "line_items": [{"item_key": "", "item_name": "Cappuccino", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AmericanCoffee", "item_value": "$2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Zabayone", "item_value": "$12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AVOCADOMOUSSE", "item_value": "$12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Course2", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GRILLEDVEALCHOP", "item_value": "$44.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CANNELLONISPINACH", "item_value": "$24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "StoneCrab", "item_value": "$27.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PinotGrigo", "item_value": "$11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PinotGrigo", "item_value": "$11.00", "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
[[[[13.0, 90.0], [231.0, 87.0], [231.0, 101.0], [13.0, 105.0]], ('BOBS STEAK & CHOP HOUSE ON LAMAR', 0.9383367300033569)], [[[86.0, 104.0], [158.0, 104.0], [158.0, 116.0], [86.0, 116.0]], ('DALLAS,TX', 0.9169555306434631)], [[[73.0, 117.0], [170.0, 115.0], [170.0, 130.0], [74.0, 131.0]], ('214652-4800', 0.9918703436851501)], [[[13.0, 143.0], [98.0, 143.0], [98.0, 156.0], [13.0, 156.0]], ('20008 Pau H', 0.9006788730621338)], [[[112.0, 166.0], [219.0, 165.0], [219.0, 180.0], [112.0, 181.0]], ('CHK5163GST2', 0.9859769940376282)], [[[12.0, 169.0], [70.0, 167.0], [71.0, 181.0], [13.0, 183.0]], ('TBL62/1', 0.9379040598869324)], [[[68.0, 182.0], [136.0, 182.0], [136.0, 193.0], [68.0, 193.0]], ('JAN3113', 0.9897112846374512)], [[[134.0, 181.0], [176.0, 181.0], [176.0, 192.0], [134.0, 192.0]], ('8:01PM', 0.9305091500282288)], [[[27.0, 218.0], [110.0, 218.0], [110.0, 232.0], [27.0, 232.0]], ('1 GREY GOOSE', 0.8788008093833923)], [[[175.0, 216.0], [212.0, 216.0], [212.0, 230.0], [175.0, 230.0]], ('14.00', 0.9970101118087769)], [[[25.0, 232.0], [110.0, 230.0], [110.0, 244.0], [25.0, 246.0]], ('1A PANNA IL', 0.9082949161529541)], [[[179.0, 229.0], [211.0, 229.0], [211.0, 243.0], [179.0, 243.0]], ('7.00', 0.9981103539466858)], [[[27.0, 245.0], [104.0, 245.0], [104.0, 256.0], [27.0, 256.0]], ('1 BVLaTOUR', 0.8683723211288452)], [[[122.0, 244.0], [143.0, 244.0], [143.0, 256.0], [122.0, 256.0]], ('025', 0.9320462346076965)], [[[169.0, 243.0], [211.0, 243.0], [211.0, 254.0], [169.0, 254.0]], ('218.00', 0.9956850409507751)], [[[25.0, 257.0], [103.0, 255.0], [103.0, 269.0], [25.0, 271.0]], ('1VEAL CHOP', 0.9497925639152527)], [[[173.0, 255.0], [212.0, 255.0], [212.0, 269.0], [173.0, 269.0]], ('53.00', 0.9944893717765808)], [[[27.0, 271.0], [70.0, 271.0], [70.0, 282.0], [27.0, 282.0]], ('1DUCK', 0.9617729187011719)], [[[174.0, 267.0], [212.0, 267.0], [212.0, 281.0], [174.0, 281.0]], ('30.00', 0.9966293573379517)], [[[27.0, 282.0], [104.0, 282.0], [104.0, 293.0], [27.0, 293.0]], ('1CRAB CAKE', 0.9324509501457214)], [[[175.0, 280.0], [211.0, 277.0], [212.0, 292.0], [176.0, 295.0]], ('15.00', 0.9975204467773438)], [[[27.0, 294.0], [131.0, 294.0], [131.0, 307.0], [27.0, 307.0]], ('1 BREAD PUDDING', 0.9441035389900208)], [[[181.0, 292.0], [213.0, 292.0], [213.0, 306.0], [181.0, 306.0]], ('7.00', 0.9950320720672607)], [[[26.0, 306.0], [136.0, 305.0], [136.0, 319.0], [26.0, 320.0]], ('1 CHOCOLATE CAKE', 0.935529351234436)], [[[183.0, 305.0], [212.0, 305.0], [212.0, 318.0], [183.0, 318.0]], ('8.00', 0.9977922439575195)], [[[27.0, 319.0], [124.0, 319.0], [124.0, 332.0], [27.0, 332.0]], ('1 SGL ESPRESSO', 0.924223780632019)], [[[183.0, 318.0], [212.0, 318.0], [212.0, 331.0], [183.0, 331.0]], ('4.00', 0.9982860684394836)], [[[26.0, 332.0], [125.0, 330.0], [125.0, 344.0], [26.0, 346.0]], ('1CHIVAS 12 YR', 0.9212217330932617)], [[[181.0, 329.0], [212.0, 329.0], [212.0, 345.0], [181.0, 345.0]], ('8.00', 0.9984002709388733)], [[[40.0, 356.0], [95.0, 356.0], [95.0, 370.0], [40.0, 370.0]], ('SUBTOTAL', 0.9945002198219299)], [[[169.0, 355.0], [212.0, 355.0], [212.0, 369.0], [169.0, 369.0]], ('364.00', 0.9946412444114685)], [[[42.0, 371.0], [66.0, 371.0], [66.0, 383.0], [42.0, 383.0]], ('TAX', 0.9889941215515137)], [[[176.0, 368.0], [212.0, 368.0], [212.0, 382.0], [176.0, 382.0]], ('10.23', 0.9960733652114868)], [[[42.0, 384.0], [78.0, 384.0], [78.0, 395.0], [42.0, 395.0]], ('TOTAL', 0.9904056787490845)], [[[115.0, 381.0], [209.0, 380.0], [209.0, 394.0], [116.0, 395.0]], ('$374.23', 0.9539105296134949)], [[[35.0, 407.0], [204.0, 405.0], [205.0, 419.0], [35.0, 421.0]], ("CELEBRATE VALENTINE'S DAY", 0.9704123139381409)], [[[60.0, 419.0], [178.0, 418.0], [178.0, 432.0], [60.0, 433.0]], ('WEEKEND AT BOB S!', 0.8875495195388794)]]
{"store_name": "BOBSSTEAK&CHOPHOUSEONLAMAR", "store_addr": "DALLAS,TX", "telephone": "(214)652-4800", "date": "JAN31'13", "time": "8:01PM", "subtotal": "364.00", "tax": "10.23", "total": "$374.23", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CHIVAS12YR", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SGLESPRESSO", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOCOLATECAKE", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BREADPUDDING", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CRABCAKE", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DUCK", "item_value": "30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VEALCHOP", "item_value": "53.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BVLaTOURD25", "item_value": "218.00", "item_quantity": "1"}, {"item_key": "", "item_name": "APANNA1L", "item_value": "7,00", "item_quantity": "1"}, {"item_key": "", "item_name": "GREYGOOSE", "item_value": "14.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[304.0, 177.0], [436.0, 184.0], [435.0, 203.0], [303.0, 196.0]], ('YOUR GUEST NUMBER IS', 0.9483146667480469)], [[[347.0, 196.0], [376.0, 199.0], [374.0, 215.0], [345.0, 212.0]], ('57', 0.9994291663169861)], [[[275.0, 222.0], [455.0, 230.0], [454.0, 247.0], [274.0, 239.0]], ('IN-N-OUT BURGER GRANTS PASS', 0.9554016590118408)], [[[313.0, 240.0], [414.0, 246.0], [413.0, 261.0], [312.0, 255.0]], ('3283 1548 3267', 0.9334755539894104)], [[[228.0, 266.0], [368.0, 274.0], [367.0, 291.0], [227.0, 282.0]], ('Cashier:MACKENZIE HA', 0.9541304707527161)], [[[226.0, 280.0], [304.0, 285.0], [303.0, 304.0], [224.0, 299.0]], ('Check57', 0.9949951171875)], [[[229.0, 313.0], [306.0, 318.0], [305.0, 333.0], [228.0, 328.0]], ('1Hamburger', 0.9903267621994019)], [[[247.0, 328.0], [302.0, 333.0], [300.0, 349.0], [245.0, 344.0]], ('+Onion', 0.928647518157959)], [[[475.0, 322.0], [506.0, 322.0], [506.0, 338.0], [475.0, 338.0]], ('2.40', 0.9931864738464355)], [[[229.0, 344.0], [311.0, 350.0], [309.0, 365.0], [228.0, 359.0]], ('1.Cheesebrgr', 0.9473075866699219)], [[[246.0, 360.0], [298.0, 364.0], [297.0, 380.0], [244.0, 376.0]], ('+Onion', 0.9258691668510437)], [[[475.0, 352.0], [507.0, 352.0], [507.0, 369.0], [475.0, 369.0]], ('2.70', 0.9840117692947388)], [[[225.0, 373.0], [292.0, 377.0], [291.0, 396.0], [223.0, 392.0]], ('1Db1-Db1', 0.9436678886413574)], [[[242.0, 392.0], [297.0, 396.0], [296.0, 412.0], [241.0, 408.0]], ('+Onion', 0.9520554542541504)], [[[475.0, 384.0], [506.0, 384.0], [506.0, 401.0], [475.0, 401.0]], ('3.85', 0.9862267971038818)], [[[224.0, 408.0], [263.0, 411.0], [262.0, 427.0], [222.0, 424.0]], ('1Fry', 0.9823745489120483)], [[[222.0, 423.0], [336.0, 429.0], [335.0, 447.0], [221.0, 441.0]], ('1 Med Soft Drink', 0.9378945827484131)], [[[476.0, 416.0], [506.0, 416.0], [506.0, 432.0], [476.0, 432.0]], ('1.85', 0.9929078817367554)], [[[222.0, 441.0], [302.0, 447.0], [301.0, 462.0], [221.0, 456.0]], ('1Hot Cocoa', 0.9509024620056152)], [[[475.0, 432.0], [507.0, 432.0], [507.0, 448.0], [475.0, 448.0]], ('1.60', 0.9740205407142639)], [[[475.0, 448.0], [506.0, 448.0], [506.0, 466.0], [475.0, 466.0]], ('1.60', 0.9921232461929321)], [[[213.0, 473.0], [314.0, 480.0], [313.0, 495.0], [212.0, 488.0]], ('COUNTER-Eat In', 0.9599422812461853)], [[[213.0, 488.0], [260.0, 493.0], [258.0, 510.0], [211.0, 504.0]], ('No Tax', 0.9170563220977783)], [[[470.0, 480.0], [509.0, 480.0], [509.0, 499.0], [470.0, 499.0]], ('14.00', 0.9882203340530396)], [[[211.0, 503.0], [286.0, 511.0], [285.0, 529.0], [209.0, 522.0]], ('Amount Due', 0.963097870349884)], [[[461.0, 514.0], [509.0, 514.0], [509.0, 533.0], [461.0, 533.0]], ('$14.00', 0.9862200617790222)], [[[211.0, 536.0], [333.0, 547.0], [331.0, 565.0], [209.0, 554.0]], ('Tender MasterCard', 0.9861599206924438)], [[[211.0, 552.0], [257.0, 559.0], [254.0, 575.0], [209.0, 568.0]], ('Change', 0.9970448017120361)], [[[460.0, 547.0], [509.0, 547.0], [509.0, 567.0], [460.0, 567.0]], ('$14.00', 0.9889514446258545)], [[[474.0, 567.0], [507.0, 567.0], [507.0, 584.0], [474.0, 584.0]], ('$.00', 0.9960014820098877)], [[[208.0, 584.0], [302.0, 595.0], [300.0, 614.0], [205.0, 603.0]], ('CHARGE DETAIL', 0.9751012325286865)], [[[204.0, 619.0], [239.0, 622.0], [237.0, 643.0], [202.0, 640.0]], ('SALE', 0.9987179040908813)], [[[203.0, 639.0], [297.0, 647.0], [296.0, 667.0], [201.0, 658.0]], ('Card Type:', 0.9351040124893188)], [[[288.0, 645.0], [366.0, 650.0], [365.0, 669.0], [287.0, 664.0]], ('Mastercard', 0.9946584701538086)], [[[203.0, 659.0], [265.0, 666.0], [264.0, 682.0], [201.0, 675.0]], ('Account:', 0.9667104482650757)], [[[291.0, 665.0], [420.0, 672.0], [419.0, 688.0], [290.0, 681.0]], ('************1418 C', 0.9291111826896667)], [[[199.0, 677.0], [338.0, 684.0], [337.0, 706.0], [198.0, 698.0]], ('Auth Code:741507', 0.949685275554657)], [[[199.0, 697.0], [263.0, 703.0], [262.0, 721.0], [198.0, 716.0]], ('Trans #', 0.9291034936904907)], [[[290.0, 701.0], [323.0, 704.0], [321.0, 724.0], [288.0, 721.0]], ('3267', 0.9992795586585999)], [[[198.0, 717.0], [271.0, 722.0], [269.0, 740.0], [197.0, 735.0]], ('Auth Ref', 0.9244068264961243)], [[[288.0, 721.0], [365.0, 724.0], [364.0, 742.0], [288.0, 740.0]], ('1042793329', 0.9980025291442871)], [[[196.0, 737.0], [272.0, 741.0], [271.0, 760.0], [195.0, 756.0]], ('AUTH AMT', 0.9656733274459839)], [[[287.0, 740.0], [337.0, 742.0], [336.0, 762.0], [285.0, 759.0]], ('$14.00', 0.9940402507781982)], [[[242.0, 799.0], [459.0, 802.0], [459.0, 821.0], [241.0, 819.0]], ('Help us end Human Traff icking', 0.9528238773345947)], [[[274.0, 823.0], [435.0, 823.0], [435.0, 838.0], [274.0, 838.0]], ('To donate please visit', 0.931020975112915)], [[[271.0, 843.0], [431.0, 843.0], [431.0, 861.0], [271.0, 861.0]], ('www.slave2nothing.org', 0.9907612800598145)], [[[270.0, 884.0], [419.0, 881.0], [419.0, 900.0], [271.0, 904.0]], ('THANK YOU!', 0.9392143487930298)], [[[201.0, 909.0], [486.0, 900.0], [487.0, 919.0], [202.0, 928.0]], ('Questions/Comments:Ca11 800-786-1000', 0.9606714248657227)], [[[325.0, 946.0], [371.0, 943.0], [373.0, 967.0], [327.0, 970.0]], ('L1T3', 0.9672362208366394)], [[[455.0, 940.0], [514.0, 940.0], [514.0, 963.0], [455.0, 963.0]], ('7:28PM', 0.9181662201881409)], [[[178.0, 954.0], [267.0, 949.0], [269.0, 971.0], [179.0, 976.0]], ('2018-01-03', 0.9924507141113281)]]
{"store_name": "IN-N-OUTBURGERGRANTSPASS", "store_addr": "", "telephone": "328315483267", "date": "2018-01-03", "time": "7:28PM", "subtotal": "14.00", "tax": "", "total": "$14.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Hamburger", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "", "item_name": "+Onion", "item_value": "2.70", "item_quantity": "1"}, {"item_key": "", "item_name": "Cheesebrgr", "item_value": "3.85", "item_quantity": "1"}, {"item_key": "", "item_name": "+Onion", "item_value": "1.85", "item_quantity": "1"}, {"item_key": "", "item_name": "Dbl-Dbl", "item_value": "1.60", "item_quantity": "1"}, {"item_key": "", "item_name": "+Onion", "item_value": "1.60", "item_quantity": "1"}, {"item_key": "", "item_name": "Fry", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MedSoftDrink", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "HotCocoa", "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
[[[[86.0, 24.0], [235.0, 26.0], [235.0, 43.0], [85.0, 41.0]], ('Windmill Family', 0.8803688883781433)], [[[110.0, 39.0], [213.0, 41.0], [213.0, 57.0], [109.0, 55.0]], ('Restaurant', 0.9978453516960144)], [[[107.0, 61.0], [219.0, 60.0], [219.0, 74.0], [107.0, 75.0]], ('Morgantown.PA.19543', 0.934524416923523)], [[[119.0, 54.0], [205.0, 54.0], [205.0, 64.0], [119.0, 64.0]], ('2838 Ma1n Street', 0.9162096977233887)], [[[112.0, 72.0], [215.0, 72.0], [215.0, 82.0], [112.0, 82.0]], ('610286-5980', 0.9740349054336548)], [[[80.0, 91.0], [248.0, 91.0], [248.0, 104.0], [80.0, 104.0]], ('Frday Hay 2201704 M', 0.6517618894577026)], [[[42.0, 108.0], [121.0, 110.0], [121.0, 124.0], [42.0, 122.0]], ('Emp1MALISSA', 0.9327831864356995)], [[[40.0, 119.0], [201.0, 122.0], [201.0, 136.0], [40.0, 134.0]], ('Open:May 262017 0117 PM', 0.9233797192573547)], [[[193.0, 113.0], [268.0, 108.0], [269.0, 121.0], [193.0, 126.0]], ('Chk#0000108', 0.9229660034179688)], [[[41.0, 131.0], [107.0, 134.0], [106.0, 145.0], [40.0, 143.0]], ('Station:3', 0.9256591796875)], [[[132.0, 131.0], [184.0, 134.0], [183.0, 148.0], [131.0, 145.0]], ('Guest:2', 0.9352388978004456)], [[[206.0, 132.0], [272.0, 127.0], [273.0, 141.0], [207.0, 146.0]], ('Table:0051', 0.9316010475158691)], [[[36.0, 154.0], [132.0, 155.0], [131.0, 169.0], [35.0, 168.0]], ('Qty Description', 0.9537314176559448)], [[[191.0, 155.0], [226.0, 152.0], [227.0, 167.0], [192.0, 170.0]], ('Price', 0.9941886067390442)], [[[238.0, 152.0], [278.0, 149.0], [279.0, 163.0], [239.0, 166.0]], ('Amount', 0.9941551089286804)], [[[107.0, 177.0], [204.0, 180.0], [203.0, 193.0], [106.0, 190.0]], ('**DINE-IN', 0.9046874642372131)], [[[202.0, 181.0], [225.0, 181.0], [225.0, 188.0], [202.0, 188.0]], ('**', 0.7778298854827881)], [[[44.0, 191.0], [125.0, 191.0], [125.0, 205.0], [44.0, 205.0]], ('1SOFT DRINK', 0.9319362044334412)], [[[200.0, 191.0], [228.0, 188.0], [230.0, 204.0], [202.0, 207.0]], ('2.09', 0.9960505366325378)], [[[256.0, 187.0], [285.0, 184.0], [287.0, 199.0], [257.0, 202.0]], ('2.09', 0.9947935938835144)], [[[42.0, 203.0], [125.0, 205.0], [125.0, 219.0], [42.0, 217.0]], ('1 SOFT DRINK', 0.9092724919319153)], [[[200.0, 205.0], [231.0, 203.0], [232.0, 218.0], [202.0, 220.0]], ('2.09', 0.9951448440551758)], [[[257.0, 200.0], [288.0, 198.0], [289.0, 214.0], [258.0, 216.0]], ('2.09', 0.9958406686782837)], [[[40.0, 218.0], [162.0, 219.0], [162.0, 233.0], [40.0, 232.0]], ('1HOT TURK SAND/MP', 0.9422520995140076)], [[[204.0, 218.0], [233.0, 218.0], [233.0, 234.0], [204.0, 234.0]], ('9.19', 0.9892962574958801)], [[[260.0, 214.0], [291.0, 212.0], [292.0, 228.0], [261.0, 230.0]], ('9.19', 0.9949131011962891)], [[[40.0, 232.0], [176.0, 234.0], [176.0, 248.0], [39.0, 246.0]], ('1L*CRAB CAKE SND/FF', 0.9587715268135071)], [[[205.0, 233.0], [235.0, 233.0], [235.0, 248.0], [205.0, 248.0]], ('8.75', 0.9967573285102844)], [[[262.0, 229.0], [293.0, 227.0], [294.0, 243.0], [263.0, 245.0]], ('8.75', 0.9946621656417847)], [[[162.0, 278.0], [225.0, 278.0], [225.0, 295.0], [162.0, 295.0]], ('Sub Total', 0.9052098393440247)], [[[263.0, 274.0], [303.0, 270.0], [305.0, 288.0], [264.0, 292.0]], ('22.12', 0.9939435720443726)], [[[163.0, 297.0], [228.0, 297.0], [228.0, 311.0], [163.0, 311.0]], ('Sales Tax', 0.9531850814819336)], [[[271.0, 289.0], [306.0, 286.0], [308.0, 304.0], [273.0, 307.0]], ('1.33', 0.9947918653488159)], [[[148.0, 328.0], [206.0, 328.0], [206.0, 358.0], [148.0, 358.0]], ('Total', 0.9974287152290344)], [[[254.0, 323.0], [318.0, 317.0], [321.0, 346.0], [257.0, 352.0]], ('23.45', 0.9967439770698547)], [[[263.0, 382.0], [333.0, 377.0], [335.0, 410.0], [266.0, 416.0]], ('23.45', 0.9950405359268188)], [[[101.0, 394.0], [209.0, 389.0], [211.0, 419.0], [103.0, 423.0]], ('Total Due', 0.9593150615692139)]]
{"store_name": "Restaurant WindmillFamily", "store_addr": "Morgantown,PA. 19543 2838MainStreet", "telephone": "(610)286-5980", "date": "Friday,Hay26,2017 May26,2017", "time": "01:41PM 01:17PM", "subtotal": "22.12", "tax": "1.33", "total": "23.45 23.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "L*CRABCAKESND/FF", "item_value": "8.75", "item_quantity": "1"}, {"item_key": "", "item_name": "HOTTURKSAND/MP", "item_value": "9.19", "item_quantity": "1"}, {"item_key": "", "item_name": "SOFTDRINK", "item_value": "2.09", "item_quantity": "1"}, {"item_key": "", "item_name": "SOFTDRINK", "item_value": "2.09", "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
[[[[59.0, 189.0], [206.0, 197.0], [205.0, 232.0], [57.0, 224.0]], ('Pizza Hut', 0.9597395658493042)], [[[55.0, 231.0], [212.0, 239.0], [210.0, 274.0], [53.0, 266.0]], ('SMMasinag', 0.9795576930046082)], [[[200.0, 276.0], [473.0, 282.0], [472.0, 315.0], [199.0, 310.0]], (' Complete survey', 0.94813072681427)], [[[59.0, 317.0], [474.0, 315.0], [474.0, 348.0], [59.0, 350.0]], ('at pizzahutfeedback.com.ph', 0.9569172263145447)], [[[56.0, 357.0], [462.0, 352.0], [463.0, 385.0], [56.0, 390.0]], ('put valid code on receipt', 0.9636269211769104)], [[[52.0, 387.0], [479.0, 383.0], [479.0, 428.0], [53.0, 432.0]], ('to ciaim FREE BANANA SPLIT', 0.8895872831344604)], [[[217.0, 423.0], [476.0, 432.0], [475.0, 465.0], [216.0, 456.0]], ('OFFICIAL RECEIPT', 0.9622167944908142)], [[[132.0, 463.0], [478.0, 469.0], [477.0, 507.0], [131.0, 501.0]], ('Philippine Pizza Inc.', 0.9524012804031372)], [[[56.0, 505.0], [525.0, 505.0], [525.0, 543.0], [56.0, 543.0]], ('TAXID:TIN#200-741-954-303VAT', 0.9424034357070923)], [[[50.0, 549.0], [421.0, 543.0], [422.0, 583.0], [51.0, 589.0]], ('POSID:CYBF1KA10050022', 0.9649962186813354)], [[[366.0, 586.0], [473.0, 590.0], [471.0, 627.0], [364.0, 623.0]], ('171145', 0.996041476726532)], [[[55.0, 597.0], [207.0, 593.0], [208.0, 626.0], [56.0, 630.0]], ('TAX-INV#:', 0.9251089096069336)], [[[50.0, 639.0], [289.0, 630.0], [291.0, 665.0], [52.0, 674.0]], ('Order Paid!!!!', 0.8776841759681702)], [[[50.0, 769.0], [580.0, 751.0], [581.0, 791.0], [52.0, 809.0]], ('OR07/25/201420:40', 0.9488693475723267)], [[[55.0, 819.0], [244.0, 813.0], [245.0, 846.0], [56.0, 852.0]], ('Type......', 0.8522617220878601)], [[[239.0, 810.0], [679.0, 793.0], [681.0, 828.0], [241.0, 845.0]], ('Dine In Guests: 1 Table:A1', 0.8889482021331787)], [[[535.0, 842.0], [734.0, 842.0], [734.0, 877.0], [535.0, 877.0]], ('47284 joanb.', 0.862011730670929)], [[[52.0, 860.0], [253.0, 858.0], [253.0, 888.0], [52.0, 890.0]], ('Store....', 0.8919124603271484)], [[[240.0, 857.0], [398.0, 857.0], [398.0, 887.0], [240.0, 887.0]], ('SMMasinag', 0.7273418307304382)], [[[49.0, 900.0], [335.0, 893.0], [336.0, 933.0], [50.0, 940.0]], ('Paid....21:08', 0.9173794984817505)], [[[502.0, 980.0], [615.0, 976.0], [616.0, 1011.0], [504.0, 1015.0]], ('149.00', 0.9879936575889587)], [[[644.0, 975.0], [750.0, 971.0], [751.0, 1006.0], [646.0, 1010.0]], ('149.00', 0.9910175204277039)], [[[96.0, 993.0], [132.0, 993.0], [132.0, 1033.0], [96.0, 1033.0]], ('1', 0.9630160927772522)], [[[227.0, 990.0], [473.0, 981.0], [475.0, 1016.0], [229.0, 1025.0]], ('CAJUN FISHRICE', 0.9672805666923523)], [[[523.0, 1023.0], [619.0, 1023.0], [619.0, 1065.0], [523.0, 1065.0]], ('0065', 0.9203547239303589)], [[[663.0, 1020.0], [755.0, 1016.0], [757.0, 1054.0], [664.0, 1059.0]], ('59.00', 0.9885902404785156)], [[[101.0, 1042.0], [145.0, 1042.0], [145.0, 1080.0], [101.0, 1080.0]], ('15', 0.9196912050247192)], [[[224.0, 1037.0], [372.0, 1031.0], [373.0, 1071.0], [226.0, 1077.0]], ('LEMONADE', 0.9861817359924316)], [[[654.0, 1116.0], [766.0, 1109.0], [769.0, 1151.0], [656.0, 1157.0]], ('208.00', 0.9879276752471924)], [[[673.0, 1162.0], [770.0, 1158.0], [772.0, 1199.0], [675.0, 1204.0]], ('18.60', 0.9711142778396606)], [[[231.0, 1184.0], [497.0, 1173.0], [498.0, 1210.0], [232.0, 1220.0]], ('Service Charge:', 0.9583967328071594)], [[[661.0, 1212.0], [773.0, 1206.0], [775.0, 1249.0], [663.0, 1256.0]], ('226.60', 0.9823213219642639)], [[[231.0, 1232.0], [380.0, 1226.0], [382.0, 1266.0], [232.0, 1272.0]], ('Total...', 0.9914764165878296)], [[[232.0, 1282.0], [522.0, 1271.0], [524.0, 1311.0], [234.0, 1322.0]], ('12% VAT Included', 0.93326336145401)], [[[754.0, 1307.0], [783.0, 1307.0], [783.0, 1348.0], [754.0, 1348.0]], ('2', 0.8974164128303528)], [[[47.0, 1342.0], [271.0, 1333.0], [272.0, 1373.0], [48.0, 1382.0]], ('Number Items', 0.9559213519096375)], [[[579.0, 1370.0], [606.0, 1370.0], [606.0, 1407.0], [579.0, 1407.0]], ('P', 0.8224756121635437)], [[[668.0, 1361.0], [783.0, 1354.0], [785.0, 1396.0], [670.0, 1402.0]], ('250.00', 0.9952784180641174)], [[[325.0, 1379.0], [440.0, 1371.0], [443.0, 1414.0], [328.0, 1423.0]], ('CASH', 0.9816091060638428)], [[[44.0, 1390.0], [179.0, 1390.0], [179.0, 1432.0], [44.0, 1432.0]], ('Paid By', 0.9296766519546509)], [[[689.0, 1409.0], [786.0, 1402.0], [789.0, 1447.0], [692.0, 1454.0]], ('23.40', 0.9809048771858215)], [[[579.0, 1420.0], [608.0, 1420.0], [608.0, 1455.0], [579.0, 1455.0]], ('P', 0.796571671962738)], [[[47.0, 1440.0], [164.0, 1444.0], [163.0, 1487.0], [45.0, 1483.0]], ('Change', 0.9983329772949219)]]
{"store_name": "PizzaHut", "store_addr": "", "telephone": "", "date": "07/25/2014", "time": "20:40", "subtotal": "208.00", "tax": "18.60", "total": "226.60", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CAJUNFISHRICE", "item_value": "149.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LEMONADE", "item_value": "59.00", "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
[[[[200.0, 96.0], [448.0, 106.0], [446.0, 135.0], [199.0, 124.0]], ('Iron Horse', 0.9746197462081909)], [[[251.0, 123.0], [400.0, 135.0], [398.0, 157.0], [249.0, 146.0]], ('Tavern', 0.9966325759887695)], [[[61.0, 173.0], [181.0, 173.0], [181.0, 198.0], [61.0, 198.0]], ('Check:', 0.9278008937835693)], [[[177.0, 174.0], [207.0, 174.0], [207.0, 197.0], [177.0, 197.0]], ('65', 0.9922484159469604)], [[[61.0, 203.0], [155.0, 203.0], [155.0, 225.0], [61.0, 225.0]], ('Table:4', 0.9211855530738831)], [[[58.0, 233.0], [244.0, 233.0], [244.0, 255.0], [58.0, 255.0]], ('Server:Aimee G', 0.94123774766922)], [[[55.0, 260.0], [165.0, 260.0], [165.0, 287.0], [55.0, 287.0]], ('06/04/14', 0.997499406337738)], [[[508.0, 259.0], [604.0, 265.0], [602.0, 295.0], [506.0, 289.0]], ('06:16pm', 0.9376473426818848)], [[[51.0, 322.0], [187.0, 320.0], [188.0, 347.0], [52.0, 349.0]], ('-[Seat 1]', 0.9062042236328125)], [[[47.0, 354.0], [214.0, 352.0], [214.0, 377.0], [47.0, 380.0]], ('3-CHEESE MAC', 0.9522110819816589)], [[[552.0, 356.0], [622.0, 356.0], [622.0, 384.0], [552.0, 384.0]], ('$6.85', 0.9026430249214172)], [[[47.0, 386.0], [254.0, 386.0], [254.0, 412.0], [47.0, 412.0]], ('FARMHOUSE MELT', 0.9606643319129944)], [[[552.0, 386.0], [625.0, 386.0], [625.0, 417.0], [552.0, 417.0]], ('$7.00', 0.9971275329589844)], [[[57.0, 417.0], [131.0, 417.0], [131.0, 445.0], [57.0, 445.0]], ('WHITE', 0.9985971450805664)], [[[43.0, 449.0], [283.0, 451.0], [282.0, 480.0], [42.0, 478.0]], ('IRON HORSE BURGER', 0.9615803956985474)], [[[554.0, 452.0], [627.0, 449.0], [629.0, 481.0], [555.0, 484.0]], ('$9.75', 0.9013099670410156)], [[[51.0, 484.0], [144.0, 484.0], [144.0, 514.0], [51.0, 514.0]], ('MEDIUM', 0.9963374137878418)], [[[51.0, 521.0], [228.0, 521.0], [228.0, 550.0], [51.0, 550.0]], ('Smokey Ranch', 0.9615041613578796)], [[[34.0, 555.0], [124.0, 555.0], [124.0, 585.0], [34.0, 585.0]], ('GELATO', 0.9981456398963928)], [[[559.0, 554.0], [633.0, 554.0], [633.0, 585.0], [559.0, 585.0]], ('$5.00', 0.9964733123779297)], [[[33.0, 591.0], [125.0, 591.0], [125.0, 622.0], [33.0, 622.0]], ('SORBET', 0.9979991316795349)], [[[561.0, 589.0], [635.0, 589.0], [635.0, 620.0], [561.0, 620.0]], ('$5.00', 0.9978221654891968)], [[[180.0, 662.0], [310.0, 659.0], [311.0, 690.0], [180.0, 692.0]], ('Subtotal:', 0.9868447780609131)], [[[536.0, 659.0], [624.0, 659.0], [624.0, 689.0], [536.0, 689.0]], ('$33.60', 0.9952235221862793)], [[[165.0, 699.0], [311.0, 696.0], [311.0, 727.0], [165.0, 730.0]], ('Sub w/Tax:', 0.9047792553901672)], [[[538.0, 694.0], [626.0, 694.0], [626.0, 725.0], [538.0, 725.0]], ('$35.62', 0.9937403202056885)], [[[221.0, 733.0], [311.0, 730.0], [312.0, 766.0], [222.0, 768.0]], ('Total:', 0.9855629801750183)], [[[456.0, 732.0], [625.0, 732.0], [625.0, 762.0], [456.0, 762.0]], ('$35.62', 0.9959125518798828)], [[[249.0, 806.0], [313.0, 806.0], [313.0, 844.0], [249.0, 844.0]], ('Tax:', 0.9860296249389648)], [[[556.0, 803.0], [636.0, 803.0], [636.0, 839.0], [556.0, 839.0]], ('$2.02', 0.9948712587356567)], [[[254.0, 884.0], [412.0, 877.0], [414.0, 914.0], [255.0, 920.0]], ('"Thank-You"', 0.9752300381660461)]]
{"store_name": "IronHorse Tavern", "store_addr": "", "telephone": "", "date": "06/04/14", "time": "06:16pm", "subtotal": "$33.60", "tax": "$2.02", "total": "$35.62 $35.62", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "3-CHEESEMAC", "item_value": "$6.85", "item_quantity": "1"}, {"item_key": "", "item_name": "FARMHOUSEMELT", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "IRONHORSEBURGER", "item_value": "$9.75", "item_quantity": "1"}, {"item_key": "", "item_name": "GELATO", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SORBET", "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
[[[[126.0, 102.0], [398.0, 105.0], [397.0, 139.0], [126.0, 135.0]], ('KRYSTAL HTBOO1', 0.8870893716812134)], [[[87.0, 130.0], [226.0, 135.0], [226.0, 152.0], [87.0, 148.0]], ('WELCOME', 0.9301947951316833)], [[[237.0, 134.0], [433.0, 130.0], [433.0, 148.0], [238.0, 152.0]], ('TO KRYSTAL', 0.9424253702163696)], [[[110.0, 149.0], [320.0, 153.0], [320.0, 175.0], [109.0, 171.0]], ('P601268129', 0.8934286236763)], [[[178.0, 171.0], [330.0, 176.0], [329.0, 197.0], [177.0, 191.0]], ('W.RYSTAL..COM', 0.8905895948410034)], [[[98.0, 188.0], [409.0, 197.0], [409.0, 222.0], [97.0, 213.0]], ('eneral Manaser G han L1anage', 0.8613505363464355)], [[[57.0, 210.0], [304.0, 219.0], [303.0, 255.0], [55.0, 245.0]], ('TABLE#10', 0.8971817493438721)], [[[162.0, 267.0], [374.0, 275.0], [373.0, 299.0], [161.0, 291.0]], ('8/23/20159:57:26M', 0.8998857736587524)], [[[38.0, 302.0], [191.0, 319.0], [188.0, 341.0], [35.0, 324.0]], ('Orde-Nunber:', 0.8655538558959961)], [[[224.0, 294.0], [281.0, 300.0], [278.0, 323.0], [221.0, 317.0]], ('Carry', 0.9967009425163269)], [[[211.0, 320.0], [360.0, 325.0], [359.0, 346.0], [210.0, 340.0]], ('3284540', 0.9520831108093262)], [[[28.0, 348.0], [193.0, 364.0], [191.0, 386.0], [26.0, 370.0]], ('32 Surisers', 0.9230008721351624)], [[[47.0, 372.0], [156.0, 383.0], [153.0, 406.0], [45.0, 395.0]], ('2 Sunrsr', 0.7709050178527832)], [[[423.0, 367.0], [476.0, 363.0], [478.0, 390.0], [425.0, 394.0]], ('6.00', 0.9976710081100464)], [[[21.0, 395.0], [142.0, 406.0], [140.0, 431.0], [19.0, 420.0]], ('4K-ysoer', 0.8878956437110901)], [[[429.0, 413.0], [480.0, 409.0], [482.0, 434.0], [431.0, 438.0]], ('3.96', 0.997445821762085)], [[[48.0, 455.0], [182.0, 461.0], [181.0, 486.0], [47.0, 480.0]], ('Sub.Total', 0.9284722805023193)], [[[432.0, 465.0], [487.0, 460.0], [489.0, 487.0], [435.0, 493.0]], ('9.96', 0.9976583123207092)], [[[47.0, 484.0], [105.0, 489.0], [103.0, 516.0], [45.0, 511.0]], ('Tax:', 0.880922794342041)], [[[434.0, 493.0], [490.0, 489.0], [492.0, 516.0], [436.0, 520.0]], ('0.90', 0.9973467588424683)], [[[43.0, 515.0], [121.0, 519.0], [120.0, 545.0], [42.0, 541.0]], ('Total:', 0.9587563872337341)], [[[429.0, 522.0], [494.0, 518.0], [495.0, 546.0], [431.0, 550.0]], ('10.86', 0.9958046078681946)], [[[31.0, 571.0], [92.0, 578.0], [89.0, 607.0], [28.0, 600.0]], ('Cash', 0.9859368801116943)], [[[425.0, 582.0], [503.0, 582.0], [503.0, 608.0], [425.0, 608.0]], ('-20.00', 0.9519824385643005)], [[[28.0, 604.0], [113.0, 613.0], [110.0, 640.0], [25.0, 632.0]], ('Change', 0.9963814616203308)], [[[438.0, 612.0], [507.0, 612.0], [507.0, 639.0], [438.0, 639.0]], ('-9.14', 0.961007297039032)], [[[1.0, 638.0], [118.0, 645.0], [117.0, 670.0], [0.0, 663.0]], ('egister:1', 0.9342474341392517)], [[[251.0, 650.0], [510.0, 645.0], [511.0, 670.0], [251.0, 675.0]], ('Tran Seq lo:3284540', 0.8897095918655396)], [[[3.0, 673.0], [142.0, 678.0], [141.0, 704.0], [2.0, 699.0]], ('orNo131', 0.8478986024856567)], [[[365.0, 680.0], [515.0, 682.0], [514.0, 708.0], [365.0, 706.0]], ('I.bony Jones', 0.8599624633789062)], [[[0.0, 707.0], [547.0, 715.0], [546.0, 750.0], [0.0, 743.0]], ('$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$', 0.969670832157135)], [[[36.0, 747.0], [479.0, 752.0], [479.0, 784.0], [36.0, 779.0]], ('ENJOY THFEE FREE', 0.9313433170318604)], [[[46.0, 785.0], [469.0, 791.0], [469.0, 822.0], [45.0, 817.0]], ('KRYSTAL BURGERS', 0.927065908908844)], [[[60.0, 827.0], [459.0, 830.0], [459.0, 858.0], [60.0, 855.0]], ('W.CTH YOUR NEXT PURCHASI OF A', 0.8867570757865906)], [[[136.0, 952.0], [376.0, 950.0], [376.0, 982.0], [137.0, 984.0]], ('HEN YOU', 0.8646451234817505)]]
{"store_name": "KRYSTALHTB001 WELCOMETOKRYSTAL", "store_addr": "", "telephone": "(601:268-2129", "date": "8/23/2015", "time": "9:57:26AM", "subtotal": "9.96", "tax": "0.90", "total": "10.86", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "2Sunrisers", "item_value": "3.96", "item_quantity": "1"}, {"item_key": "", "item_name": "2Sunrsr", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Krysoer", "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
[[[[109.0, 96.0], [334.0, 107.0], [329.0, 191.0], [105.0, 180.0]], ('CREST', 0.9483086466789246)], [[[227.0, 168.0], [338.0, 174.0], [336.0, 198.0], [226.0, 192.0]], ('FOODS', 0.9797120094299316)], [[[108.0, 193.0], [309.0, 197.0], [308.0, 214.0], [108.0, 210.0]], ('Crest Foods #5', 0.9453728795051575)], [[[172.0, 223.0], [260.0, 227.0], [259.0, 242.0], [172.0, 238.0]], ('4503 NW23rd', 0.9241869449615479)], [[[163.0, 237.0], [287.0, 241.0], [287.0, 255.0], [162.0, 251.0]], ('Oklahoma CityOK', 0.905979335308075)], [[[112.0, 249.0], [280.0, 253.0], [280.0, 270.0], [112.0, 266.0]], ('Manager:Kevin Shoemake', 0.960841953754425)], [[[119.0, 263.0], [271.0, 266.0], [270.0, 282.0], [118.0, 279.0]], ('Phone #405-813-8100', 0.9694452881813049)], [[[168.0, 280.0], [222.0, 280.0], [222.0, 294.0], [168.0, 294.0]], ('Stare:5', 0.9085521101951599)], [[[62.0, 303.0], [194.0, 305.0], [193.0, 322.0], [62.0, 320.0]], ('CashierMary M27', 0.9692870378494263)], [[[62.0, 329.0], [122.0, 331.0], [121.0, 348.0], [61.0, 346.0]], ('01/28/09', 0.9959914088249207)], [[[303.0, 334.0], [364.0, 336.0], [364.0, 354.0], [302.0, 352.0]], ('14:21:19', 0.9022992849349976)], [[[68.0, 360.0], [214.0, 362.0], [214.0, 377.0], [68.0, 375.0]], ('DG THIN PEP MUSH BCN', 0.9152156114578247)], [[[68.0, 373.0], [184.0, 376.0], [184.0, 390.0], [68.0, 387.0]], ('LOFHNY HAM16Z', 0.9626290798187256)], [[[309.0, 364.0], [361.0, 366.0], [361.0, 381.0], [308.0, 379.0]], ('3.99TF', 0.985271692276001)], [[[308.0, 378.0], [361.0, 380.0], [361.0, 395.0], [307.0, 393.0]], ('2.98TF', 0.9826674461364746)], [[[68.0, 388.0], [185.0, 390.0], [185.0, 404.0], [68.0, 402.0]], ('DOLE HRT DLGHT 8', 0.925835132598877)], [[[67.0, 402.0], [171.0, 404.0], [171.0, 418.0], [67.0, 416.0]], ('SL CL WHEAT 20', 0.9125656485557556)], [[[307.0, 393.0], [362.0, 393.0], [362.0, 410.0], [307.0, 410.0]], ('2.69TF', 0.9815199971199036)], [[[67.0, 415.0], [199.0, 417.0], [198.0, 433.0], [67.0, 431.0]], ('UB RDY RC SANTA FE', 0.9163537621498108)], [[[308.0, 408.0], [361.0, 408.0], [361.0, 422.0], [308.0, 422.0]], ('1.99TF', 0.9696275591850281)], [[[306.0, 418.0], [360.0, 421.0], [359.0, 438.0], [305.0, 435.0]], ('1.69TF', 0.9730005264282227)], [[[67.0, 430.0], [170.0, 432.0], [170.0, 446.0], [67.0, 444.0]], ('UB WHL GRNB RR', 0.9080690145492554)], [[[67.0, 443.0], [170.0, 446.0], [169.0, 460.0], [67.0, 457.0]], ('UB WHL GRNB RR', 0.8979082703590393)], [[[307.0, 434.0], [360.0, 436.0], [360.0, 451.0], [306.0, 449.0]], ('1.69TF', 0.9879335761070251)], [[[66.0, 457.0], [183.0, 460.0], [183.0, 474.0], [66.0, 471.0]], ('SANTITOS WHT 16Z', 0.9359617829322815)], [[[308.0, 449.0], [360.0, 449.0], [360.0, 465.0], [308.0, 465.0]], ('1.69TF', 0.9662444591522217)], [[[305.0, 460.0], [360.0, 462.0], [360.0, 480.0], [304.0, 478.0]], ('2.29TF', 0.9856488108634949)], [[[98.0, 471.0], [191.0, 474.0], [190.0, 488.0], [98.0, 485.0]], ('12/3.00', 0.9869551062583923)], [[[66.0, 484.0], [179.0, 487.0], [179.0, 501.0], [66.0, 498.0]], ('HHELP LASAGNA.7', 0.9286240339279175)], [[[306.0, 489.0], [360.0, 489.0], [360.0, 506.0], [306.0, 506.0]], ('1.50TF', 0.9394180178642273)], [[[98.0, 500.0], [190.0, 502.0], [190.0, 515.0], [98.0, 513.0]], ('12/3.00', 0.9853643178939819)], [[[65.0, 512.0], [177.0, 514.0], [177.0, 528.0], [65.0, 526.0]], ('HHELP CHILI MAC', 0.9467676281929016)], [[[305.0, 517.0], [360.0, 517.0], [360.0, 534.0], [305.0, 534.0]], ('1.50TF', 0.9783225059509277)], [[[99.0, 527.0], [190.0, 529.0], [190.0, 542.0], [99.0, 540.0]], ('12/3.00', 0.9868939518928528)], [[[66.0, 540.0], [175.0, 543.0], [175.0, 557.0], [66.0, 554.0]], ('GG BABY CARROTS', 0.9321976900100708)], [[[304.0, 544.0], [360.0, 544.0], [360.0, 561.0], [304.0, 561.0]], ('1.50TF', 0.9813969731330872)], [[[100.0, 555.0], [189.0, 557.0], [189.0, 570.0], [100.0, 568.0]], ('14/5.00', 0.985654354095459)], [[[66.0, 568.0], [181.0, 571.0], [181.0, 585.0], [66.0, 582.0]], ('AB LONG SPAG 24Z', 0.9199528098106384)], [[[303.0, 571.0], [359.0, 573.0], [359.0, 590.0], [302.0, 588.0]], ('1.25TF', 0.9245538711547852)], [[[66.0, 582.0], [174.0, 584.0], [174.0, 598.0], [66.0, 596.0]], ('HTS CHNK GARLIC', 0.9374816417694092)], [[[316.0, 585.0], [358.0, 587.0], [357.0, 603.0], [315.0, 601.0]], ('.99TF', 0.9794894456863403)], [[[65.0, 596.0], [168.0, 598.0], [167.0, 612.0], [65.0, 610.0]], ('BC 12MM LNGHN', 0.9189364910125732)], [[[302.0, 599.0], [358.0, 601.0], [358.0, 618.0], [301.0, 616.0]], ('3.98TF', 0.9839200973510742)], [[[98.0, 611.0], [187.0, 612.0], [187.0, 626.0], [98.0, 625.0]], ('12/6.00', 0.986079216003418)], [[[64.0, 623.0], [180.0, 626.0], [180.0, 640.0], [64.0, 637.0]], ('TOST MED SALSA24', 0.9479892253875732)], [[[303.0, 627.0], [357.0, 629.0], [357.0, 644.0], [302.0, 642.0]], ('3.00TF', 0.9812007546424866)], [[[148.0, 640.0], [206.0, 640.0], [206.0, 654.0], [148.0, 654.0]], ('SUBTOTAL', 0.9953271150588989)], [[[297.0, 642.0], [339.0, 645.0], [338.0, 659.0], [296.0, 656.0]], ('.15', 0.5956689715385437)], [[[149.0, 652.0], [216.0, 654.0], [216.0, 669.0], [148.0, 667.0]], ('TOTAL TAX', 0.9348415732383728)], [[[303.0, 653.0], [340.0, 655.0], [338.0, 674.0], [301.0, 672.0]], ('2.74', 0.9562134146690369)], [[[147.0, 681.0], [184.0, 681.0], [184.0, 696.0], [147.0, 696.0]], ('TOTAL', 0.9975079298019409)], [[[70.0, 692.0], [104.0, 694.0], [103.0, 709.0], [69.0, 707.0]], ('Visa', 0.986656904220581)], [[[295.0, 684.0], [334.0, 684.0], [334.0, 699.0], [295.0, 699.0]], ('35.47', 0.9969807863235474)], [[[188.0, 696.0], [236.0, 696.0], [236.0, 710.0], [188.0, 710.0]], ('TENDER', 0.9954304695129395)], [[[63.0, 707.0], [213.0, 710.0], [213.0, 724.0], [63.0, 721.0]], ('Acctxxxxxxxxxxx3695', 0.6229131817817688)], [[[295.0, 698.0], [334.0, 698.0], [334.0, 713.0], [295.0, 713.0]], ('35.47', 0.9967023730278015)], [[[63.0, 720.0], [201.0, 723.0], [200.0, 737.0], [63.0, 734.0]], ('APPRVL C0DE 003370', 0.9319102168083191)], [[[69.0, 735.0], [105.0, 735.0], [105.0, 750.0], [69.0, 750.0]], ('CASH', 0.995075523853302)], [[[190.0, 737.0], [236.0, 737.0], [236.0, 752.0], [190.0, 752.0]], ('CHANGE', 0.9981259703636169)], [[[311.0, 738.0], [335.0, 738.0], [335.0, 755.0], [311.0, 755.0]], ('.00', 0.9906589388847351)], [[[146.0, 761.0], [257.0, 763.0], [257.0, 780.0], [146.0, 778.0]], ('NUMBER OF ITEMS', 0.9522854685783386)], [[[315.0, 765.0], [335.0, 765.0], [335.0, 783.0], [315.0, 783.0]], ('15', 0.9992091655731201)], [[[56.0, 789.0], [110.0, 789.0], [110.0, 806.0], [56.0, 806.0]], ('Trx:214', 0.9174434542655945)], [[[132.0, 791.0], [177.0, 791.0], [177.0, 806.0], [132.0, 806.0]], ('Term:1', 0.9334662556648254)], [[[200.0, 790.0], [255.0, 792.0], [255.0, 807.0], [199.0, 805.0]], ('Store:5', 0.9607391953468323)], [[[295.0, 791.0], [353.0, 793.0], [352.0, 810.0], [294.0, 808.0]], ('14:26:38', 0.9242892265319824)], [[[118.0, 831.0], [275.0, 834.0], [274.0, 850.0], [117.0, 847.0]], ('Thank you tor shopping', 0.9417397975921631)], [[[156.0, 847.0], [260.0, 848.0], [260.0, 862.0], [156.0, 861.0]], ('at Crest Foods', 0.9556363821029663)], [[[95.0, 859.0], [281.0, 862.0], [281.0, 877.0], [95.0, 874.0]], ('Home of Rock Bottom Prices', 0.9505847692489624)]]
{"store_name": "CREST FOODS CrestFoods#5", "store_addr": "4503NW23rd OklahomaCity,OK", "telephone": "405-813-8100", "date": "01/28/09", "time": "14:26:38", "subtotal": "32.73", "tax": "2.74", "total": "35.47 35.47", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DGTHINPEPMUSHBCN", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LOFHNYHAM16Z", "item_value": "2.98", "item_quantity": "1"}, {"item_key": "", "item_name": "DOLEHRTDLGHT8", "item_value": "2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "SLCLWHEAT20", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "UBRDYRCSANTAFE", "item_value": "1.69", "item_quantity": "1"}, {"item_key": "", "item_name": "UBWHLGRNBRR", "item_value": "1.69", "item_quantity": "1"}, {"item_key": "", "item_name": "UBWHLGRNBRR", "item_value": "1.69", "item_quantity": "1"}, {"item_key": "", "item_name": "SANTITOSWHT16Z", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "HHELPLASAGNA7", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "HHELPCHILIMAC", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "GGBABYCARROTS", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ABLONGSPAG24Z", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "HTSCHNKGARLIC", "item_value": ".99", "item_quantity": "1"}, {"item_key": "", "item_name": "BC12MMLNGHN", "item_value": "3.98", "item_quantity": "1"}, {"item_key": "", "item_name": "TOSTMEDSALSA24", "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
[[[[102.0, 41.0], [211.0, 43.0], [210.0, 60.0], [101.0, 58.0]], ('Ani Japanese Restaurant', 0.9515815377235413)], [[[123.0, 55.0], [195.0, 58.0], [194.0, 73.0], [122.0, 69.0]], ('Welcose to A', 0.8017561435699463)], [[[116.0, 67.0], [195.0, 68.0], [195.0, 82.0], [116.0, 81.0]], ('1051 Broxton Ave', 0.9270990490913391)], [[[105.0, 79.0], [207.0, 80.0], [207.0, 94.0], [105.0, 93.0]], ('Los AngelesCA 90048', 0.9378037452697754)], [[[126.0, 93.0], [193.0, 93.0], [193.0, 104.0], [126.0, 104.0]], ('310209-1994', 0.9847190976142883)], [[[63.0, 112.0], [129.0, 115.0], [129.0, 129.0], [63.0, 126.0]], ('ServerJulie', 0.9560718536376953)], [[[203.0, 115.0], [254.0, 115.0], [254.0, 129.0], [203.0, 129.0]], ('Station:7', 0.9432798027992249)], [[[63.0, 137.0], [139.0, 137.0], [139.0, 150.0], [63.0, 150.0]], ('Order167843', 0.9501243233680725)], [[[215.0, 135.0], [254.0, 138.0], [253.0, 152.0], [214.0, 149.0]], ('Dine In', 0.9049968123435974)], [[[65.0, 149.0], [111.0, 149.0], [111.0, 160.0], [65.0, 160.0]], ('Table:21', 0.8824182748794556)], [[[208.0, 146.0], [256.0, 149.0], [255.0, 163.0], [208.0, 161.0]], ('Buests3', 0.9117079973220825)], [[[63.0, 170.0], [131.0, 170.0], [131.0, 181.0], [63.0, 181.0]], ('1.Sp Tuna Ro', 0.8219290375709534)], [[[71.0, 180.0], [193.0, 181.0], [193.0, 195.0], [71.0, 194.0]], ('Sushi Maki Special 4.00', 0.872453510761261)], [[[233.0, 171.0], [255.0, 171.0], [255.0, 183.0], [233.0, 183.0]], ('4.00', 0.9920837879180908)], [[[63.0, 194.0], [133.0, 194.0], [133.0, 205.0], [63.0, 205.0]], ('2Scaop Ro1', 0.8815776705741882)], [[[234.0, 193.0], [256.0, 193.0], [256.0, 205.0], [234.0, 205.0]], ('7.20', 0.992875874042511)], [[[72.0, 205.0], [194.0, 205.0], [194.0, 218.0], [72.0, 218.0]], ('Sushi MakiSpecia7.20', 0.9033154249191284)], [[[64.0, 218.0], [114.0, 218.0], [114.0, 228.0], [64.0, 228.0]], ('1CARo', 0.7972296476364136)], [[[233.0, 215.0], [258.0, 215.0], [258.0, 230.0], [233.0, 230.0]], ('3.80', 0.9841582179069519)], [[[71.0, 228.0], [194.0, 228.0], [194.0, 241.0], [71.0, 241.0]], ('Sushi Maki Special 3.80', 0.9119309186935425)], [[[62.0, 240.0], [172.0, 240.0], [172.0, 253.0], [62.0, 253.0]], ('1Fresh Water Eel Rol1', 0.8477370738983154)], [[[234.0, 239.0], [258.0, 239.0], [258.0, 254.0], [234.0, 254.0]], ('4.10', 0.9886659979820251)], [[[71.0, 252.0], [194.0, 252.0], [194.0, 265.0], [71.0, 265.0]], ('Sushr Mak Specie4.10', 0.8607872128486633)], [[[61.0, 264.0], [157.0, 264.0], [157.0, 277.0], [61.0, 277.0]], ('1 Baby Lobster Ro1l', 0.860156238079071)], [[[232.0, 261.0], [260.0, 264.0], [259.0, 278.0], [230.0, 275.0]], ('11.95', 0.9679948687553406)], [[[60.0, 290.0], [111.0, 290.0], [111.0, 301.0], [60.0, 301.0]], ('SUB TOTAL', 0.9476158618927002)], [[[229.0, 287.0], [260.0, 287.0], [260.0, 302.0], [229.0, 302.0]], ('31.05', 0.9850083589553833)], [[[59.0, 301.0], [95.0, 301.0], [95.0, 315.0], [59.0, 315.0]], ('Tax 1', 0.8455259203910828)], [[[233.0, 299.0], [260.0, 299.0], [260.0, 314.0], [233.0, 314.0]], ('2.79', 0.9645031690597534)], [[[58.0, 328.0], [92.0, 328.0], [92.0, 349.0], [58.0, 349.0]], ('TOTAL:', 0.9883522987365723)], [[[226.0, 323.0], [263.0, 323.0], [263.0, 348.0], [226.0, 348.0]], ('$33.84', 0.9246121048927307)], [[[112.0, 362.0], [207.0, 358.0], [208.0, 379.0], [112.0, 383.0]], ('>Ticket95', 0.9281476140022278)], [[[108.0, 381.0], [212.0, 379.0], [213.0, 393.0], [108.0, 395.0]], ('6/20/20137:18:48PM', 0.9429607391357422)], [[[55.0, 422.0], [162.0, 419.0], [162.0, 435.0], [56.0, 438.0]], ('15x Graturty =$4.66', 0.889401376247406)], [[[55.0, 435.0], [163.0, 433.0], [163.0, 447.0], [56.0, 449.0]], ('18%6ratuity=$5.59', 0.8927502632141113)]]
{"store_name": "AmiJapaneseRestaurant", "store_addr": "1051BroxtonAve. LosAngeles,CA90048", "telephone": "(310)209-1994", "date": "6/20/2013", "time": "7:18:48PM", "subtotal": "31.05", "tax": "2.79", "total": "$33.84", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SpTunaRoll", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SushiMakiSpecial(4.00)", "item_value": "7.20", "item_quantity": "1"}, {"item_key": "", "item_name": "ScallopRoll", "item_value": "3.80", "item_quantity": "1"}, {"item_key": "", "item_name": "SushiMakiSpecial(7.20)", "item_value": "4.10", "item_quantity": "1"}, {"item_key": "", "item_name": "CARoll", "item_value": "11.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SushiMakiSpecial(3.80)", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FreshWaterEelRoll", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SushiMakiSpecial(4.10)", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BabyLobsterRoll", "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
[[[[293.0, 32.0], [452.0, 34.0], [451.0, 59.0], [293.0, 57.0]], ('Panera Bread', 0.971388041973114)], [[[314.0, 66.0], [430.0, 66.0], [430.0, 88.0], [314.0, 88.0]], ('Cafe1771', 0.9971165060997009)], [[[234.0, 95.0], [508.0, 96.0], [508.0, 118.0], [234.0, 117.0]], ('Palm DesertCA 92211', 0.9551652669906616)], [[[248.0, 127.0], [498.0, 127.0], [498.0, 148.0], [248.0, 148.0]], ('Phone:760-895-6948', 0.9780125021934509)], [[[254.0, 186.0], [481.0, 189.0], [480.0, 213.0], [253.0, 210.0]], ('Accuracy Matters,', 0.9522942900657654)], [[[93.0, 216.0], [636.0, 219.0], [636.0, 244.0], [93.0, 241.0]], ('Your order should be correct every time.', 0.9459949731826782)], [[[91.0, 248.0], [655.0, 251.0], [655.0, 273.0], [91.0, 270.0]], ("Ifit's not we'll fix it right awayand", 0.918587863445282)], [[[99.0, 278.0], [642.0, 281.0], [642.0, 303.0], [99.0, 300.0]], ('give you a free treat for your trouble.', 0.9358488321304321)], [[[172.0, 305.0], [571.0, 309.0], [571.0, 333.0], [171.0, 329.0]], ('Just let any associate know.', 0.9631978869438171)], [[[47.0, 362.0], [165.0, 362.0], [165.0, 389.0], [47.0, 389.0]], ('1/3/2016', 0.9970257878303528)], [[[461.0, 368.0], [610.0, 370.0], [609.0, 396.0], [460.0, 394.0]], ('6:15:42PM', 0.9364802837371826)], [[[49.0, 400.0], [358.0, 404.0], [358.0, 429.0], [49.0, 425.0]], ('Check Number247716', 0.972479522228241)], [[[399.0, 403.0], [516.0, 405.0], [515.0, 434.0], [398.0, 431.0]], ('Cashier:', 0.9805986881256104)], [[[562.0, 406.0], [665.0, 409.0], [664.0, 435.0], [561.0, 432.0]], ('Jessica', 0.9959545135498047)], [[[96.0, 438.0], [400.0, 444.0], [399.0, 469.0], [96.0, 463.0]], ('1 Bacon Tky Bravo Sdw', 0.9039214849472046)], [[[574.0, 441.0], [637.0, 441.0], [637.0, 473.0], [574.0, 473.0]], ('7.79', 0.9934431314468384)], [[[96.0, 476.0], [226.0, 479.0], [225.0, 505.0], [96.0, 502.0]], ('+Avocado', 0.9931910037994385)], [[[500.0, 480.0], [564.0, 480.0], [564.0, 511.0], [500.0, 511.0]], ('1.59', 0.9972409009933472)], [[[166.0, 513.0], [312.0, 518.0], [311.0, 547.0], [165.0, 542.0]], ('1Md Water', 0.9282114505767822)], [[[165.0, 551.0], [270.0, 554.0], [269.0, 585.0], [164.0, 581.0]], ('1 Chips', 0.9345490336418152)], [[[93.0, 591.0], [399.0, 595.0], [398.0, 619.0], [93.0, 614.0]], ('1 Tuna Salad Sandwich', 0.9433673024177551)], [[[572.0, 595.0], [638.0, 595.0], [638.0, 626.0], [572.0, 626.0]], ('6.59', 0.9970735311508179)], [[[75.0, 629.0], [368.0, 632.0], [367.0, 657.0], [74.0, 654.0]], ('Heat On Panini Press', 0.942332923412323)], [[[89.0, 668.0], [323.0, 671.0], [323.0, 697.0], [88.0, 694.0]], ('+Cheddar Cheese', 0.9682008028030396)], [[[499.0, 672.0], [565.0, 672.0], [565.0, 702.0], [499.0, 702.0]], ('0.75', 0.9958480000495911)], [[[158.0, 707.0], [308.0, 711.0], [307.0, 739.0], [157.0, 735.0]], ('1 Md Water', 0.9155975580215454)], [[[154.0, 748.0], [262.0, 748.0], [262.0, 778.0], [154.0, 778.0]], ('1 Chips', 0.9517861008644104)], [[[73.0, 788.0], [396.0, 794.0], [396.0, 822.0], [72.0, 817.0]], ('1 Bwl Crm Tomato Soup', 0.9109610319137573)], [[[577.0, 791.0], [644.0, 794.0], [642.0, 826.0], [576.0, 824.0]], ('5.29', 0.994889497756958)], [[[147.0, 833.0], [412.0, 838.0], [412.0, 867.0], [147.0, 862.0]], ('1 French Baguette', 0.947891891002655)], [[[61.0, 878.0], [399.0, 881.0], [398.0, 909.0], [61.0, 906.0]], ('1 Smk Ham & Swiss Sdw', 0.920203447341919)], [[[585.0, 879.0], [654.0, 879.0], [654.0, 915.0], [585.0, 915.0]], ('6.59', 0.9964064359664917)], [[[83.0, 923.0], [285.0, 925.0], [284.0, 956.0], [83.0, 954.0]], ('No Rye Miche', 0.9288643002510071)], [[[80.0, 968.0], [367.0, 971.0], [366.0, 999.0], [80.0, 996.0]], ('Whole Grain Miche', 0.9453136324882507)]]
{"store_name": "PaneraBread Cafe1771", "store_addr": "PalmDesert,CA92211", "telephone": "760-895-6948", "date": "1/3/2016", "time": "6:15:42PM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BaconTkyBravoSdw", "item_value": "7.79", "item_quantity": "1"}, {"item_key": "", "item_name": "Avocado", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "Chips", "item_value": "6.59", "item_quantity": "1"}, {"item_key": "", "item_name": "TunaSaladSandwich", "item_value": "0.75", "item_quantity": "1"}, {"item_key": "", "item_name": "HeatOnPaniniPress", "item_value": "5.29", "item_quantity": "1"}, {"item_key": "", "item_name": "CheddarCheese", "item_value": "6.59", "item_quantity": "1"}, {"item_key": "", "item_name": "MdWater", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Chips", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BwlCrmTomatoSoup", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FrenchBaguette", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SmkHam&SwissSdw", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "NoRyeMiche", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "WholeGrainMiche", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MdWater", "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, 15.0], [486.0, 18.0], [486.0, 53.0], [184.0, 50.0]], ('Foot Locker', 0.9701454639434814)], [[[164.0, 64.0], [436.0, 64.0], [436.0, 79.0], [164.0, 79.0]], ('Visit Us At www.footlocker.com', 0.9674811959266663)], [[[96.0, 113.0], [203.0, 109.0], [204.0, 126.0], [97.0, 130.0]], ('STORE:25188', 0.9505248665809631)], [[[262.0, 109.0], [361.0, 109.0], [361.0, 123.0], [262.0, 123.0]], ('REGISTER:002', 0.976956844329834)], [[[96.0, 137.0], [225.0, 133.0], [226.0, 150.0], [97.0, 154.0]], ('CASHIER:Seleno', 0.9528216123580933)], [[[98.0, 161.0], [282.0, 155.0], [282.0, 172.0], [99.0, 178.0]], ('ASSOCIATE:00000659289', 0.9643900990486145)], [[[101.0, 212.0], [287.0, 206.0], [287.0, 222.0], [101.0, 228.0]], ('CUSTOMER RECEIPT COPY', 0.9547131061553955)], [[[102.0, 260.0], [266.0, 256.0], [266.0, 272.0], [102.0, 276.0]], ('ADIYEEZY BOOST 350', 0.9378994703292847)], [[[426.0, 252.0], [478.0, 252.0], [478.0, 270.0], [426.0, 270.0]], ('200.00', 0.9976097941398621)], [[[120.0, 287.0], [342.0, 284.0], [342.0, 301.0], [120.0, 304.0]], ('[email protected]', 0.9953140020370483)], [[[100.0, 337.0], [177.0, 335.0], [177.0, 353.0], [100.0, 356.0]], ('SUBTOTAL', 0.9958831071853638)], [[[429.0, 332.0], [483.0, 329.0], [484.0, 347.0], [430.0, 350.0]], ('200.00', 0.9950433373451233)], [[[98.0, 365.0], [181.0, 362.0], [181.0, 379.0], [98.0, 382.0]], ('SALES TAX', 0.9677163362503052)], [[[440.0, 357.0], [486.0, 354.0], [487.0, 372.0], [441.0, 375.0]], ('17.50', 0.9960166811943054)], [[[97.0, 392.0], [145.0, 392.0], [145.0, 410.0], [97.0, 410.0]], ('TOTAL', 0.9985331296920776)], [[[437.0, 383.0], [492.0, 382.0], [493.0, 400.0], [437.0, 401.0]], ('217.50', 0.9953271746635437)], [[[440.0, 423.0], [494.0, 423.0], [494.0, 441.0], [440.0, 441.0]], ('217.50', 0.997931182384491)], [[[96.0, 433.0], [251.0, 427.0], [252.0, 444.0], [97.0, 450.0]], ('AMOUNT TENDERED', 0.9684225916862488)], [[[97.0, 458.0], [199.0, 456.0], [200.0, 473.0], [97.0, 475.0]], ('MajorCharge', 0.9957141876220703)], [[[125.0, 487.0], [181.0, 484.0], [182.0, 501.0], [125.0, 504.0]], ('ACCT:*', 0.9062018990516663)], [[[252.0, 483.0], [305.0, 483.0], [305.0, 497.0], [252.0, 497.0]], ('**8627', 0.9797378182411194)], [[[124.0, 512.0], [212.0, 505.0], [213.0, 522.0], [126.0, 529.0]], ('EXP*******', 0.8620128631591797)], [[[126.0, 537.0], [278.0, 535.0], [278.0, 552.0], [126.0, 554.0]], ('APPROVAL:01196B', 0.9585986733436584)], [[[126.0, 562.0], [279.0, 560.0], [279.0, 577.0], [126.0, 579.0]], ('Current Balance:00', 0.9426466822624207)]]
{"store_name": "FootLocker", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "200.00", "tax": "17.50", "total": "217.50 217.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ADIYEEZYBOOST350", "item_value": "200.00", "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
[[[[235.0, 131.0], [489.0, 155.0], [486.0, 185.0], [232.0, 161.0]], ('FOOD OPERA', 0.9445904493331909)], [[[181.0, 154.0], [512.0, 185.0], [509.0, 216.0], [178.0, 185.0]], ('PADANG PADANG', 0.9703549146652222)], [[[195.0, 186.0], [503.0, 215.0], [500.0, 242.0], [192.0, 213.0]], ('FOOD OPERA @ ION ORCHARD', 0.928597629070282)], [[[194.0, 215.0], [504.0, 243.0], [501.0, 273.0], [191.0, 245.0]], ('2 ORCHARD TURN #B4-03/04', 0.9332529902458191)], [[[249.0, 253.0], [452.0, 271.0], [449.0, 298.0], [247.0, 280.0]], ('SINGAPORE 238801', 0.9727323055267334)], [[[194.0, 277.0], [493.0, 302.0], [490.0, 332.0], [191.0, 307.0]], ('GST REGNO200702119C', 0.9648464322090149)], [[[91.0, 302.0], [210.0, 312.0], [208.0, 340.0], [88.0, 330.0]], ('Stal110', 0.9668154120445251)], [[[92.0, 372.0], [315.0, 384.0], [314.0, 408.0], [91.0, 396.0]], ('16/03/201814:44', 0.9753379821777344)], [[[443.0, 390.0], [606.0, 393.0], [605.0, 417.0], [443.0, 414.0]], ('AJ24261', 0.9963579177856445)], [[[86.0, 401.0], [137.0, 407.0], [133.0, 439.0], [82.0, 433.0]], ('Qty', 0.9960668683052063)], [[[190.0, 410.0], [357.0, 417.0], [356.0, 444.0], [189.0, 437.0]], ('Descriptions', 0.9965527653694153)], [[[540.0, 421.0], [615.0, 423.0], [614.0, 449.0], [539.0, 447.0]], ('Amount', 0.9959747195243835)], [[[90.0, 474.0], [106.0, 474.0], [106.0, 500.0], [90.0, 500.0]], ('P-', 0.6430732011795044)], [[[191.0, 476.0], [330.0, 478.0], [330.0, 505.0], [190.0, 503.0]], ('WHITE RICE', 0.9693315625190735)], [[[564.0, 478.0], [619.0, 480.0], [618.0, 511.0], [562.0, 509.0]], ('1.00', 0.9291248321533203)], [[[90.0, 506.0], [110.0, 503.0], [113.0, 531.0], [94.0, 534.0]], ('1', 0.9691606760025024)], [[[191.0, 511.0], [441.0, 512.0], [441.0, 536.0], [191.0, 535.0]], ('ADD MUTTON CURRY(S', 0.9204385280609131)], [[[564.0, 510.0], [619.0, 510.0], [619.0, 540.0], [564.0, 540.0]], ('5.50', 0.9942565560340881)], [[[95.0, 537.0], [117.0, 537.0], [117.0, 565.0], [95.0, 565.0]], ('3', 0.9974435567855835)], [[[190.0, 546.0], [485.0, 544.0], [485.0, 568.0], [190.0, 570.0]], ('SEAFOOD(FISH/SQUID/PR', 0.971782386302948)], [[[553.0, 542.0], [621.0, 542.0], [621.0, 571.0], [553.0, 571.0]], ('13.50', 0.9954119920730591)], [[[100.0, 598.0], [120.0, 598.0], [120.0, 629.0], [100.0, 629.0]], ('5', 0.8122172355651855)], [[[192.0, 609.0], [326.0, 609.0], [326.0, 640.0], [192.0, 640.0]], ('TOTAL', 0.9984286427497864)], [[[497.0, 606.0], [620.0, 603.0], [621.0, 631.0], [498.0, 634.0]], ('20.00', 0.9982298016548157)], [[[190.0, 640.0], [252.0, 646.0], [249.0, 676.0], [187.0, 670.0]], ('CASH', 0.9978770613670349)], [[[557.0, 635.0], [623.0, 633.0], [624.0, 662.0], [558.0, 664.0]], ('20.00', 0.9976246953010559)], [[[191.0, 672.0], [358.0, 674.0], [358.0, 709.0], [190.0, 707.0]], ('Inc1.GST 7%', 0.9243268370628357)], [[[571.0, 666.0], [621.0, 666.0], [621.0, 693.0], [571.0, 693.0]], ('1.31', 0.9926427602767944)], [[[192.0, 705.0], [355.0, 710.0], [354.0, 742.0], [191.0, 737.0]], ('CHANGE', 0.9981233477592468)], [[[520.0, 699.0], [620.0, 695.0], [621.0, 723.0], [522.0, 727.0]], ('0.00', 0.9917837381362915)], [[[260.0, 774.0], [413.0, 771.0], [413.0, 803.0], [260.0, 806.0]], ('Thank You &', 0.9355934262275696)], [[[108.0, 838.0], [189.0, 848.0], [185.0, 877.0], [104.0, 867.0]], ('Csh:10', 0.9251958727836609)]]
{"store_name": "FOODOPERA PADANGPADANG", "store_addr": "2ORCHARDTURN#B4-03/04 SINGAPORE238801", "telephone": "", "date": "16/03/2018", "time": "14:44", "subtotal": "", "tax": "1.31", "total": "20.00 20.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WHITERICE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDMUTTONCURRY(S)", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SEAFOOD(FISH/SQUID/PR", "item_value": "13.50", "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
[[[[262.0, 187.0], [352.0, 172.0], [356.0, 194.0], [266.0, 209.0]], ('OAC', 0.7366278171539307)], [[[274.0, 209.0], [356.0, 193.0], [360.0, 212.0], [278.0, 228.0]], ('NEWYORK', 0.9941577315330505)], [[[368.0, 243.0], [510.0, 228.0], [512.0, 246.0], [370.0, 261.0]], ('1 E.Mills Circle', 0.875462532043457)], [[[382.0, 255.0], [481.0, 246.0], [483.0, 265.0], [384.0, 275.0]], ('Space #1050', 0.9462481141090393)], [[[366.0, 286.0], [486.0, 275.0], [488.0, 293.0], [368.0, 305.0]], ('909948-1362', 0.9947142004966736)], [[[253.0, 305.0], [356.0, 315.0], [354.0, 333.0], [251.0, 323.0]], ('STORE:03819', 0.952294111251831)], [[[406.0, 312.0], [521.0, 300.0], [523.0, 318.0], [408.0, 330.0]], ('REGISTER008', 0.9908254146575928)], [[[253.0, 367.0], [367.0, 375.0], [366.0, 393.0], [252.0, 385.0]], ('GIFT RECEIPT', 0.9551802277565002)], [[[267.0, 416.0], [371.0, 421.0], [370.0, 439.0], [266.0, 434.0]], ('889532859306', 0.9981482028961182)], [[[268.0, 432.0], [389.0, 435.0], [388.0, 454.0], [267.0, 450.0]], ('F54022SIGB5', 0.9658231735229492)], [[[409.0, 431.0], [478.0, 429.0], [479.0, 447.0], [410.0, 449.0]], ('1@NHQK', 0.958835780620575)], [[[268.0, 447.0], [396.0, 450.0], [396.0, 470.0], [267.0, 466.0]], ('TAX Rate7.75%', 0.9415830373764038)], [[[250.0, 478.0], [357.0, 481.0], [356.0, 499.0], [250.0, 496.0]], ('Trans19877', 0.9674986004829407)], [[[443.0, 477.0], [607.0, 468.0], [608.0, 486.0], [444.0, 495.0]], ('4/21/201710:36AM', 0.9723590612411499)], [[[580.0, 519.0], [628.0, 504.0], [633.0, 519.0], [585.0, 534.0]], ('YORK', 0.9889860153198242)], [[[333.0, 543.0], [552.0, 539.0], [552.0, 557.0], [333.0, 561.0]], ('Sign up for our emails at', 0.9387627243995667)], [[[326.0, 560.0], [551.0, 557.0], [551.0, 573.0], [326.0, 576.0]], ('www.coachoutlet.com/signup', 0.9771714806556702)], [[[275.0, 590.0], [610.0, 589.0], [610.0, 607.0], [275.0, 608.0]], ("Coach's collection of your information", 0.9615358114242554)], [[[275.0, 607.0], [611.0, 607.0], [611.0, 625.0], [275.0, 625.0]], ('is governed by U.S.law.Your data may', 0.9352862238883972)], [[[284.0, 625.0], [610.0, 625.0], [610.0, 640.0], [284.0, 640.0]], ('also be processed by our subsidiaries', 0.9359334707260132)], [[[314.0, 639.0], [572.0, 640.0], [572.0, 658.0], [314.0, 657.0]], ('in your country of residence.', 0.9364407658576965)], [[[288.0, 652.0], [592.0, 656.0], [592.0, 677.0], [288.0, 673.0]], ('View our full privacy policy here:', 0.9094481468200684)], [[[314.0, 669.0], [555.0, 673.0], [555.0, 695.0], [314.0, 690.0]], ('www.coach.com/glabalprivacy', 0.965495228767395)], [[[343.0, 742.0], [539.0, 752.0], [538.0, 770.0], [342.0, 760.0]], ('0198770381900804212017', 0.9962108731269836)]]
{"store_name": "1E.MillsCircle", "store_addr": "Space#1050 Ontario,CA91764", "telephone": "(909)948-1362", "date": "4/21/2017", "time": "10:36AM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SIGPVCSLIMENVLPE;SV/L", "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
[[[[180.0, 158.0], [440.0, 158.0], [440.0, 206.0], [180.0, 206.0]], ("Applebee'sSux", 0.9338728189468384)], [[[210.0, 241.0], [376.0, 241.0], [376.0, 255.0], [210.0, 255.0]], ('APPLEBEES', 0.9936378002166748)], [[[181.0, 259.0], [386.0, 261.0], [386.0, 278.0], [181.0, 276.0]], ('NEIGHBORHOOD GRILL & BAR', 0.9517149925231934)], [[[206.0, 280.0], [368.0, 282.0], [367.0, 299.0], [206.0, 297.0]], ('610 W Nicholson Rd.', 0.90707927942276)], [[[208.0, 303.0], [353.0, 303.0], [353.0, 320.0], [208.0, 320.0]], ('AudubonNJ 08106', 0.9618232250213623)], [[[226.0, 324.0], [335.0, 324.0], [335.0, 341.0], [226.0, 341.0]], ('856547-9000', 0.9910566210746765)], [[[377.0, 366.0], [442.0, 366.0], [442.0, 384.0], [377.0, 384.0]], ('TB#8', 0.9757411479949951)], [[[101.0, 384.0], [436.0, 388.0], [436.0, 405.0], [101.0, 401.0]], ('DATE:02-10-13 TIME:O4:24PM GUESTS2', 0.9092029333114624)], [[[101.0, 406.0], [269.0, 407.0], [268.0, 424.0], [101.0, 423.0]], ('Check #:9957-200816', 0.9469425082206726)], [[[102.0, 449.0], [284.0, 449.0], [284.0, 466.0], [102.0, 466.0]], ('CARD TYPE:MASTERCARD', 0.9582063555717468)], [[[102.0, 471.0], [336.0, 471.0], [336.0, 485.0], [102.0, 485.0]], ('CARDNUMBER************', 0.9436814785003662)], [[[101.0, 490.0], [284.0, 490.0], [284.0, 507.0], [101.0, 507.0]], ('APPROVALC0DE:02824Z', 0.9257361888885498)], [[[100.0, 510.0], [268.0, 510.0], [268.0, 527.0], [100.0, 527.0]], ('Merchant ID:061345', 0.9558790922164917)], [[[97.0, 531.0], [242.0, 528.0], [243.0, 548.0], [97.0, 551.0]], ('Trans Type: Auth', 0.9291514158248901)], [[[98.0, 586.0], [220.0, 584.0], [220.0, 605.0], [98.0, 607.0]], ('Amount:', 0.9770936965942383)], [[[382.0, 580.0], [452.0, 578.0], [453.0, 600.0], [383.0, 602.0]], ('0.01', 0.9935745000839233)], [[[272.0, 623.0], [368.0, 623.0], [368.0, 663.0], [272.0, 663.0]], ('25.00', 0.9931063652038574)], [[[100.0, 651.0], [168.0, 651.0], [168.0, 673.0], [100.0, 673.0]], ('Tip:', 0.9772594571113586)], [[[266.0, 682.0], [364.0, 680.0], [365.0, 724.0], [267.0, 726.0]], ('25.01', 0.9639776945114136)], [[[102.0, 709.0], [204.0, 707.0], [204.0, 728.0], [102.0, 730.0]], ('Total:', 0.946739137172699)], [[[306.0, 772.0], [360.0, 772.0], [360.0, 798.0], [306.0, 798.0]], ('Hl', 0.5450265407562256)], [[[100.0, 814.0], [401.0, 811.0], [401.0, 832.0], [100.0, 835.0]], ('Cardmember agrees to pay total in', 0.9411135315895081)], [[[100.0, 836.0], [419.0, 835.0], [419.0, 855.0], [100.0, 856.0]], ('accordance with agreement governing', 0.9571383595466614)], [[[100.0, 859.0], [254.0, 859.0], [254.0, 879.0], [100.0, 879.0]], ('use of such card.', 0.946239709854126)], [[[218.0, 914.0], [365.0, 910.0], [366.0, 934.0], [218.0, 938.0]], ('** Guest Copy **', 0.9358950853347778)]]
{"store_name": "AGpplebee's APPLEBEE'S", "store_addr": "610WNicholsonRd. Audubon,NJ08106", "telephone": "(856)547-9000", "date": "02-10-13", "time": "04:24PM", "subtotal": "0.01", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[109.0, 74.0], [236.0, 82.0], [235.0, 96.0], [108.0, 88.0]], ('Custoner Receipt', 0.9265996217727661)], [[[146.0, 90.0], [198.0, 94.0], [197.0, 108.0], [145.0, 104.0]], ('Order:65', 0.9130934476852417)], [[[138.0, 105.0], [203.0, 108.0], [202.0, 122.0], [137.0, 119.0]], ('Little Delhi', 0.9432187080383301)], [[[131.0, 117.0], [208.0, 121.0], [207.0, 135.0], [130.0, 131.0]], ('83 Eddy Street', 0.9431454539299011)], [[[105.0, 132.0], [233.0, 134.0], [233.0, 148.0], [105.0, 146.0]], ('San FranciscoCA 94102', 0.9574946165084839)], [[[132.0, 146.0], [209.0, 148.0], [208.0, 162.0], [131.0, 160.0]], ('415398-3173', 0.9906259179115295)], [[[80.0, 179.0], [130.0, 179.0], [130.0, 193.0], [80.0, 193.0]], ('Guests:2', 0.9599850177764893)], [[[158.0, 180.0], [251.0, 183.0], [250.0, 197.0], [157.0, 194.0]], ('4/16/20175:53pm', 0.9750118255615234)], [[[87.0, 193.0], [147.0, 195.0], [147.0, 209.0], [86.0, 207.0]], ('Dine In', 0.9820232391357422)], [[[171.0, 195.0], [238.0, 197.0], [238.0, 211.0], [171.0, 209.0]], ('Table:83', 0.8594560623168945)], [[[94.0, 220.0], [182.0, 223.0], [181.0, 237.0], [94.0, 234.0]], ('Vegetable Pakora', 0.9789808988571167)], [[[93.0, 233.0], [151.0, 235.0], [150.0, 249.0], [93.0, 247.0]], ('Lamb Korma', 0.9108000993728638)], [[[234.0, 224.0], [261.0, 224.0], [261.0, 239.0], [234.0, 239.0]], ('3.99', 0.9957183003425598)], [[[93.0, 246.0], [118.0, 248.0], [117.0, 260.0], [92.0, 258.0]], ('Mild', 0.9613211154937744)], [[[231.0, 237.0], [260.0, 237.0], [260.0, 251.0], [231.0, 251.0]], ('10.99', 0.996452808380127)], [[[69.0, 248.0], [77.0, 248.0], [77.0, 257.0], [69.0, 257.0]], ('1', 0.9248729944229126)], [[[69.0, 261.0], [77.0, 261.0], [77.0, 270.0], [69.0, 270.0]], ('1', 0.8591838479042053)], [[[92.0, 259.0], [176.0, 261.0], [175.0, 275.0], [92.0, 273.0]], ('Veg Ma lai Kofta', 0.9341175556182861)], [[[92.0, 271.0], [128.0, 274.0], [127.0, 288.0], [91.0, 285.0]], ('Medium', 0.9460875391960144)], [[[234.0, 262.0], [260.0, 262.0], [260.0, 277.0], [234.0, 277.0]], ('8.99', 0.9965120553970337)], [[[67.0, 274.0], [76.0, 274.0], [76.0, 283.0], [67.0, 283.0]], ('1', 0.7986449003219604)], [[[69.0, 288.0], [74.0, 288.0], [74.0, 295.0], [69.0, 295.0]], ('1', 0.8410483002662659)], [[[91.0, 284.0], [154.0, 286.0], [153.0, 300.0], [90.0, 298.0]], ('Rice Pillau', 0.929090678691864)], [[[91.0, 297.0], [153.0, 299.0], [152.0, 314.0], [90.0, 311.0]], ('Kabuli Naan', 0.8984994292259216)], [[[234.0, 288.0], [259.0, 288.0], [259.0, 303.0], [234.0, 303.0]], ('2.00', 0.9942634105682373)], [[[68.0, 301.0], [73.0, 301.0], [73.0, 308.0], [68.0, 308.0]], ('1', 0.8658167123794556)], [[[233.0, 301.0], [259.0, 301.0], [259.0, 316.0], [233.0, 316.0]], ('3.50', 0.9948921799659729)], [[[66.0, 313.0], [74.0, 313.0], [74.0, 322.0], [66.0, 322.0]], ('1', 0.9489316344261169)], [[[91.0, 311.0], [148.0, 314.0], [148.0, 328.0], [90.0, 325.0]], ('Soft Drink', 0.9645293951034546)], [[[235.0, 313.0], [259.0, 316.0], [257.0, 331.0], [233.0, 328.0]], ('1.50', 0.9922407269477844)], [[[65.0, 326.0], [73.0, 326.0], [73.0, 336.0], [65.0, 336.0]], ('1', 0.9546115398406982)], [[[90.0, 326.0], [123.0, 326.0], [123.0, 341.0], [90.0, 341.0]], ('Raita', 0.9843762516975403)], [[[235.0, 326.0], [260.0, 329.0], [258.0, 345.0], [233.0, 342.0]], ('1.50', 0.9753573536872864)], [[[89.0, 338.0], [161.0, 341.0], [161.0, 355.0], [88.0, 352.0]], ('Mango Chutney', 0.9585053324699402)], [[[235.0, 342.0], [259.0, 342.0], [259.0, 358.0], [235.0, 358.0]], ('1.50', 0.9957263469696045)], [[[144.0, 369.0], [202.0, 372.0], [201.0, 389.0], [143.0, 387.0]], ('Sub Total:', 0.8528606295585632)], [[[229.0, 372.0], [261.0, 372.0], [261.0, 391.0], [229.0, 391.0]], ('33.97', 0.9951332807540894)], [[[177.0, 387.0], [202.0, 387.0], [202.0, 403.0], [177.0, 403.0]], ('Tax:', 0.9623845219612122)], [[[233.0, 388.0], [261.0, 388.0], [261.0, 404.0], [233.0, 404.0]], ('3.74', 0.9917702674865723)], [[[165.0, 419.0], [202.0, 419.0], [202.0, 437.0], [165.0, 437.0]], ('Total:', 0.9913449883460999)], [[[229.0, 422.0], [260.0, 422.0], [260.0, 439.0], [229.0, 439.0]], ('37.71', 0.9879099130630493)], [[[230.0, 441.0], [257.0, 443.0], [256.0, 449.0], [229.0, 449.0]], ('377', 0.9830954670906067)]]
{"store_name": "CustomerReceipt LittleDelhi", "store_addr": "83EddyStreet SanFrancisco,CA94102", "telephone": "(415)398-3173", "date": "4/16/2017", "time": "5:53pm", "subtotal": "33.97", "tax": "3.74", "total": "37.71", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "VegetablePakora", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LambKorma", "item_value": "10.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Mild", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "VegMalaiKofta", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Medium", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "RicePillau", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "KabuliNaan", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SoftDrink", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Raita", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MangoChutney", "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
[[[[214.0, 410.0], [537.0, 413.0], [536.0, 448.0], [214.0, 445.0]], ('AlohaPali', 0.9833782911300659)], [[[216.0, 448.0], [725.0, 453.0], [725.0, 492.0], [215.0, 487.0]], ('1247 Kailua Road', 0.9126474857330322)], [[[214.0, 485.0], [725.0, 490.0], [724.0, 535.0], [214.0, 530.0]], ('KailuaHI 96734', 0.8833522200584412)], [[[217.0, 570.0], [630.0, 570.0], [630.0, 603.0], [217.0, 603.0]], ('$ave-A-Dollar', 0.9665682911872864)], [[[215.0, 610.0], [415.0, 603.0], [416.0, 640.0], [217.0, 647.0]], ('xx1323', 0.8714630603790283)], [[[222.0, 685.0], [863.0, 665.0], [864.0, 705.0], [223.0, 725.0]], ('Jun1512:47:592011', 0.9718311429023743)], [[[225.0, 762.0], [448.0, 749.0], [451.0, 791.0], [228.0, 804.0]], ('Pump01', 0.904689371585846)], [[[514.0, 789.0], [743.0, 781.0], [744.0, 816.0], [515.0, 824.0]], ('REGULAR', 0.9931030869483948)], [[[222.0, 800.0], [481.0, 791.0], [482.0, 826.0], [223.0, 835.0]], ('UNLEADED', 0.9937448501586914)], [[[546.0, 827.0], [744.0, 820.0], [746.0, 855.0], [548.0, 862.0]], ('13.240', 0.9764020442962646)], [[[224.0, 837.0], [453.0, 831.0], [454.0, 866.0], [225.0, 872.0]], ('Gallons', 0.9923729300498962)], [[[516.0, 864.0], [745.0, 858.0], [745.0, 893.0], [517.0, 899.0]], ('$3.939', 0.9711203575134277)], [[[227.0, 877.0], [454.0, 870.0], [455.0, 903.0], [228.0, 910.0]], ('Priceg', 0.9927019476890564)], [[[517.0, 932.0], [748.0, 928.0], [749.0, 968.0], [518.0, 972.0]], ('$52.15', 0.9652243256568909)], [[[233.0, 949.0], [393.0, 936.0], [397.0, 976.0], [237.0, 989.0]], ('Total', 0.9979430437088013)], [[[242.0, 1024.0], [519.0, 1001.0], [522.0, 1036.0], [245.0, 1059.0]], ('APPROUAL:', 0.9713978171348572)], [[[253.0, 1113.0], [373.0, 1113.0], [373.0, 1150.0], [253.0, 1150.0]], ('REF:', 0.971535325050354)], [[[288.0, 1180.0], [805.0, 1163.0], [807.0, 1203.0], [290.0, 1220.0]], ('TOP TIER GASOLINE', 0.9410794973373413)], [[[258.0, 1214.0], [877.0, 1198.0], [878.0, 1243.0], [259.0, 1259.0]], ('CERTIFIED BY BMWGM', 0.9489760994911194)], [[[291.0, 1259.0], [803.0, 1236.0], [805.0, 1276.0], [293.0, 1299.0]], ('TOYOTA AND HONDA.', 0.931692361831665)], [[[323.0, 1329.0], [773.0, 1304.0], [775.0, 1343.0], [326.0, 1367.0]], ('COME BACK SOON', 0.9295888543128967)]]
{"store_name": "AlohaPali", "store_addr": "Kailua,HI96734 1247KailuaRoad", "telephone": "", "date": "Jun15", "time": "12:47:59", "subtotal": "", "tax": "", "total": "$52.15", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "UNLEADED", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "REGULAR", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[214.0, 410.0], [537.0, 413.0], [536.0, 448.0], [214.0, 445.0]], ('AlohaPali', 0.9830860495567322)], [[[216.0, 448.0], [725.0, 453.0], [725.0, 492.0], [215.0, 487.0]], ('1247 Kailua Road', 0.9157102704048157)], [[[214.0, 485.0], [725.0, 490.0], [724.0, 535.0], [214.0, 530.0]], ('KailuaHI 96734', 0.8850577473640442)], [[[217.0, 570.0], [630.0, 570.0], [630.0, 603.0], [217.0, 603.0]], ('$ave-A-Dollar', 0.9652302861213684)], [[[215.0, 610.0], [415.0, 603.0], [416.0, 640.0], [217.0, 647.0]], ('xx1323', 0.8699448108673096)], [[[222.0, 685.0], [863.0, 665.0], [864.0, 703.0], [223.0, 724.0]], ('Jun1512:47:592011', 0.9718276858329773)], [[[225.0, 762.0], [448.0, 749.0], [451.0, 791.0], [228.0, 804.0]], ('Pump01', 0.9011271595954895)], [[[514.0, 789.0], [743.0, 781.0], [744.0, 816.0], [515.0, 824.0]], ('REGULAR', 0.9931133985519409)], [[[222.0, 800.0], [481.0, 791.0], [482.0, 826.0], [223.0, 835.0]], ('UNLEADED', 0.9939010739326477)], [[[546.0, 827.0], [744.0, 820.0], [746.0, 855.0], [548.0, 862.0]], ('13.240', 0.9761412143707275)], [[[224.0, 837.0], [453.0, 831.0], [454.0, 866.0], [225.0, 872.0]], ('Gallons', 0.9923897385597229)], [[[516.0, 864.0], [746.0, 858.0], [747.0, 893.0], [517.0, 899.0]], ('$3.939', 0.9713568687438965)], [[[227.0, 877.0], [454.0, 870.0], [455.0, 903.0], [228.0, 910.0]], ('Priceg', 0.9927971959114075)], [[[517.0, 932.0], [748.0, 928.0], [749.0, 968.0], [518.0, 972.0]], ('$52.15', 0.9654871821403503)], [[[233.0, 949.0], [393.0, 936.0], [397.0, 976.0], [237.0, 989.0]], ('Total', 0.9979473352432251)], [[[242.0, 1024.0], [519.0, 1001.0], [522.0, 1036.0], [245.0, 1059.0]], ('APPROUAL:', 0.9710891246795654)], [[[253.0, 1113.0], [373.0, 1113.0], [373.0, 1150.0], [253.0, 1150.0]], ('REF:', 0.9704832434654236)], [[[290.0, 1180.0], [805.0, 1163.0], [807.0, 1203.0], [291.0, 1220.0]], ('TOP TIER GASOLINE', 0.9443286657333374)], [[[258.0, 1212.0], [877.0, 1196.0], [878.0, 1245.0], [259.0, 1260.0]], ('CERTIFIED BY BMW GM', 0.9161030650138855)], [[[291.0, 1259.0], [803.0, 1234.0], [805.0, 1274.0], [293.0, 1299.0]], ('TOYOTA AND HONDA.', 0.9469108581542969)], [[[323.0, 1329.0], [773.0, 1304.0], [775.0, 1343.0], [326.0, 1367.0]], ('COME BACK SOON', 0.9290434122085571)]]
{"store_name": "AlohaPali", "store_addr": "Kailua,HI96734 1247KailuaRoad", "telephone": "", "date": "Jun15", "time": "12:47:59", "subtotal": "", "tax": "", "total": "$52.15", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "UNLEADED", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "REGULAR", "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
[[[[134.0, 0.0], [233.0, 0.0], [233.0, 14.0], [134.0, 14.0]], ('USA GASOL INE', 0.9387153387069702)], [[[149.0, 14.0], [209.0, 16.0], [208.0, 33.0], [148.0, 30.0]], ('#68228', 0.9500153064727783)], [[[110.0, 32.0], [249.0, 33.0], [249.0, 49.0], [110.0, 48.0]], ('SPRING VALLEYCA', 0.9635595679283142)], [[[101.0, 64.0], [257.0, 67.0], [257.0, 83.0], [101.0, 80.0]], ('USA GASOL INE #68220', 0.8650141954421997)], [[[100.0, 79.0], [224.0, 83.0], [223.0, 100.0], [100.0, 96.0]], ('8659 JAMACHA RD', 0.9281756281852722)], [[[99.0, 95.0], [206.0, 99.0], [205.0, 116.0], [99.0, 112.0]], ('SPRING UALLEY', 0.9518460631370544)], [[[234.0, 100.0], [255.0, 100.0], [255.0, 116.0], [234.0, 116.0]], ('CA', 0.9960435032844543)], [[[99.0, 127.0], [195.0, 132.0], [194.0, 146.0], [99.0, 141.0]], ('TES068220881', 0.9452955722808838)], [[[96.0, 142.0], [204.0, 147.0], [203.0, 163.0], [96.0, 159.0]], ('DATE 11/28/15', 0.9579814076423645)], [[[98.0, 157.0], [171.0, 162.0], [170.0, 177.0], [97.0, 172.0]], ('PUMP18', 0.9676070809364319)], [[[96.0, 174.0], [202.0, 178.0], [201.0, 194.0], [96.0, 190.0]], ('PRODUCT:UNLD', 0.9017331600189209)], [[[96.0, 187.0], [162.0, 193.0], [160.0, 210.0], [94.0, 204.0]], ('GALLONS:', 0.9724533557891846)], [[[96.0, 204.0], [161.0, 209.0], [159.0, 226.0], [95.0, 221.0]], ('PRICE/G:', 0.9605590105056763)], [[[213.0, 196.0], [258.0, 196.0], [258.0, 214.0], [213.0, 214.0]], ('6.281', 0.9082067608833313)], [[[94.0, 220.0], [176.0, 226.0], [175.0, 243.0], [93.0, 237.0]], ('FUEL SALE', 0.9557158946990967)], [[[209.0, 211.0], [259.0, 215.0], [258.0, 232.0], [208.0, 228.0]], ('2.619', 0.9890782237052917)], [[[194.0, 227.0], [258.0, 232.0], [257.0, 249.0], [192.0, 244.0]], ('$16.24', 0.9258127808570862)], [[[122.0, 255.0], [222.0, 263.0], [220.0, 280.0], [120.0, 271.0]], ('QUAL ITY FUEL', 0.9220155477523804)], [[[105.0, 269.0], [230.0, 280.0], [228.0, 297.0], [103.0, 286.0]], ('AT GREAT PRICES', 0.9283177256584167)]]
{"store_name": "USAGASOLINE #68228 USAGASOLINE#68228", "store_addr": "SPRINGVALLEY,CA 8659JAMACHARD SPRINGUALLEYCA", "telephone": "", "date": "11/28/15", "time": "", "subtotal": "", "tax": "", "total": "$16.24", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PRODUCT:UNLD", "item_value": "$2.619", "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
[[[[127.0, 38.0], [193.0, 36.0], [194.0, 57.0], [128.0, 59.0]], ('THE SEA', 0.9451626539230347)], [[[107.0, 57.0], [215.0, 55.0], [215.0, 68.0], [108.0, 70.0]], ('Fish & Chips', 0.900695264339447)], [[[133.0, 68.0], [191.0, 68.0], [191.0, 79.0], [133.0, 79.0]], ('Church Street', 0.9613640308380127)], [[[138.0, 79.0], [184.0, 76.0], [185.0, 90.0], [139.0, 93.0]], ('Blackpoal', 0.8810428380966187)], [[[59.0, 100.0], [122.0, 100.0], [122.0, 111.0], [59.0, 111.0]], (' Eat in ', 0.7521218061447144)], [[[207.0, 97.0], [232.0, 94.0], [234.0, 108.0], [208.0, 111.0]], ('0.00', 0.938799262046814)], [[[58.0, 110.0], [136.0, 110.0], [136.0, 124.0], [58.0, 124.0]], ('K1ds Fish & Chips', 0.8391833305358887)], [[[207.0, 106.0], [234.0, 106.0], [234.0, 122.0], [207.0, 122.0]], ('3.20', 0.9813973903656006)], [[[60.0, 123.0], [124.0, 123.0], [124.0, 134.0], [60.0, 134.0]], ('Fish Bites 7pc', 0.8727359175682068)], [[[208.0, 119.0], [232.0, 119.0], [232.0, 131.0], [208.0, 131.0]], ('2.85', 0.9801040291786194)], [[[61.0, 132.0], [132.0, 132.0], [132.0, 143.0], [61.0, 143.0]], ('Add Chips (Meal', 0.8739411234855652)], [[[208.0, 130.0], [233.0, 130.0], [233.0, 141.0], [208.0, 141.0]], ('1.70', 0.9858203530311584)], [[[61.0, 142.0], [157.0, 142.0], [157.0, 155.0], [61.0, 155.0]], ('Jacket Potato & Sutter', 0.9386280179023743)], [[[62.0, 149.0], [123.0, 152.0], [123.0, 166.0], [61.0, 164.0]], ('Tuna Mayo J.P.', 0.8068831562995911)], [[[208.0, 140.0], [232.0, 140.0], [232.0, 151.0], [208.0, 151.0]], ('2.50', 0.9872683882713318)], [[[208.0, 150.0], [232.0, 150.0], [232.0, 162.0], [208.0, 162.0]], ('1.00', 0.9924707412719727)], [[[62.0, 162.0], [107.0, 159.0], [108.0, 174.0], [63.0, 176.0]], ('Salad J.P.', 0.8731595873832703)], [[[208.0, 160.0], [232.0, 160.0], [232.0, 172.0], [208.0, 172.0]], ('1.00', 0.9927303791046143)], [[[123.0, 183.0], [141.0, 183.0], [141.0, 191.0], [123.0, 191.0]], ('40', 0.6302326917648315)], [[[159.0, 181.0], [183.0, 181.0], [183.0, 192.0], [159.0, 192.0]], ('0.00', 0.9780099987983704)], [[[207.0, 180.0], [232.0, 180.0], [232.0, 192.0], [207.0, 192.0]], ('0003', 0.968239426612854)], [[[66.0, 192.0], [108.0, 192.0], [108.0, 203.0], [66.0, 203.0]], ('Det Coke', 0.8662186861038208)], [[[64.0, 207.0], [87.0, 207.0], [87.0, 222.0], [64.0, 222.0]], ('Coke', 0.8968867659568787)], [[[124.0, 202.0], [143.0, 202.0], [143.0, 210.0], [124.0, 210.0]], ('20', 0.746952474117279)], [[[159.0, 200.0], [185.0, 200.0], [185.0, 210.0], [159.0, 210.0]], ('1.50', 0.9714148640632629)], [[[207.0, 198.0], [232.0, 198.0], [232.0, 210.0], [207.0, 210.0]], ('003', 0.8159999847412109)], [[[207.0, 208.0], [232.0, 208.0], [232.0, 220.0], [207.0, 220.0]], ('1.50', 0.9632915258407593)], [[[65.0, 227.0], [116.0, 227.0], [116.0, 245.0], [65.0, 245.0]], ('Total:', 0.9852088093757629)], [[[179.0, 226.0], [231.0, 226.0], [231.0, 244.0], [179.0, 244.0]], ('16.75', 0.9922553896903992)], [[[105.0, 249.0], [184.0, 249.0], [184.0, 273.0], [105.0, 273.0]], ('Table:25', 0.9463286995887756)], [[[61.0, 289.0], [101.0, 289.0], [101.0, 303.0], [61.0, 303.0]], ('Paid By:', 0.905725359916687)], [[[163.0, 286.0], [186.0, 289.0], [184.0, 304.0], [161.0, 301.0]], ('Cash', 0.9883488416671753)], [[[205.0, 289.0], [234.0, 289.0], [234.0, 300.0], [205.0, 300.0]], ('20.00', 0.9819785952568054)], [[[62.0, 319.0], [123.0, 323.0], [122.0, 341.0], [61.0, 337.0]], ('Change:', 0.9353886842727661)], [[[188.0, 316.0], [236.0, 319.0], [234.0, 342.0], [187.0, 339.0]], ('3.25', 0.9889461994171143)], [[[60.0, 345.0], [122.0, 348.0], [122.0, 362.0], [59.0, 359.0]], ('THE SEA F&C', 0.8578781485557556)], [[[62.0, 338.0], [132.0, 338.0], [132.0, 349.0], [62.0, 349.0]], ('06/07/201613:48', 0.9717028141021729)], [[[181.0, 339.0], [235.0, 339.0], [235.0, 350.0], [181.0, 350.0]], ('001-01-03163', 0.9913945198059082)], [[[193.0, 349.0], [237.0, 346.0], [237.0, 360.0], [193.0, 363.0]], ('Itens:14', 0.9377380013465881)], [[[143.0, 367.0], [189.0, 370.0], [189.0, 383.0], [143.0, 381.0]], ('Thank You', 0.8853762745857239)], [[[129.0, 378.0], [201.0, 380.0], [200.0, 394.0], [129.0, 392.0]], ('Far Your Custon', 0.8633396029472351)], [[[127.0, 389.0], [204.0, 391.0], [203.0, 404.0], [127.0, 402.0]], ('Please Call Again', 0.9270352125167847)], [[[130.0, 402.0], [202.0, 402.0], [202.0, 413.0], [130.0, 413.0]], ('VAT NO 163363907', 0.8957123160362244)]]
{"store_name": "Fish&Chips THESEA", "store_addr": "Blackpool ChurchStreet", "telephone": "", "date": "06/07/2016", "time": "13:48", "subtotal": "", "tax": "", "total": "\uffe116.75", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Coke", "item_value": "\u00a31.50", "item_quantity": "1"}, {"item_key": "", "item_name": "DietCake", "item_value": "\u00a33.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SaladJ.P.", "item_value": "\u00a30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TunaMayoJ.P.", "item_value": "\u00a31.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JacketPotato&Butter", "item_value": "\u00a31.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AddChips(Meal)", "item_value": "\u00a32.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FishBites7pc", "item_value": "\u00a31.70", "item_quantity": "1"}, {"item_key": "", "item_name": "KidsFish&Chips", "item_value": "\u00a32.85", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a33.20", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a30.00", "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
[[[[294.0, 1.0], [328.0, 1.0], [328.0, 21.0], [294.0, 21.0]], ('IHOP', 0.9899274706840515)], [[[284.0, 21.0], [327.0, 17.0], [330.0, 40.0], [287.0, 45.0]], ('#1421', 0.9975167512893677)], [[[221.0, 47.0], [404.0, 30.0], [406.0, 55.0], [223.0, 71.0]], ('707 E.Cesar Chavez St.', 0.9318094849586487)], [[[251.0, 66.0], [379.0, 52.0], [382.0, 74.0], [254.0, 88.0]], ('AustinTX 78701', 0.9638247489929199)], [[[261.0, 83.0], [375.0, 73.0], [378.0, 98.0], [264.0, 108.0]], ('512)478-1188', 0.9600479006767273)], [[[176.0, 124.0], [290.0, 117.0], [291.0, 142.0], [177.0, 149.0]], ('100092 Dwayne ', 0.9003061056137085)], [[[435.0, 142.0], [495.0, 135.0], [498.0, 162.0], [438.0, 169.0]], ('Gst 2', 0.8918293118476868)], [[[169.0, 163.0], [236.0, 159.0], [237.0, 185.0], [170.0, 189.0]], ('Chk 2645', 0.9338408708572388)], [[[287.0, 157.0], [363.0, 150.0], [365.0, 172.0], [289.0, 180.0]], ('BLACK PPL', 0.930998682975769)], [[[262.0, 179.0], [392.0, 169.0], [394.0, 191.0], [264.0, 201.0]], ('Feb2916 03:03AM', 0.9435244202613831)], [[[206.0, 221.0], [283.0, 218.0], [284.0, 239.0], [207.0, 243.0]], ('To Go', 0.773317277431488)], [[[425.0, 222.0], [474.0, 217.0], [477.0, 244.0], [428.0, 248.0]], ('$2.79', 0.9831234216690063)], [[[204.0, 241.0], [290.0, 237.0], [291.0, 258.0], [205.0, 262.0]], ('Splashberry', 0.9790130257606506)], [[[428.0, 243.0], [475.0, 239.0], [477.0, 262.0], [430.0, 266.0]], ('$2.39', 0.991355299949646)], [[[208.0, 261.0], [293.0, 256.0], [294.0, 278.0], [209.0, 283.0]], ('Sierra Mist', 0.9806019067764282)], [[[429.0, 264.0], [476.0, 257.0], [479.0, 280.0], [432.0, 287.0]], ('$9.99', 0.9934183955192566)], [[[208.0, 281.0], [281.0, 277.0], [282.0, 298.0], [209.0, 302.0]], ('Big Steak', 0.9769073128700256)], [[[429.0, 282.0], [479.0, 276.0], [482.0, 303.0], [432.0, 309.0]], ('$9.79', 0.98321533203125)], [[[201.0, 301.0], [277.0, 297.0], [278.0, 319.0], [202.0, 322.0]], ('1 CoTorado', 0.950924277305603)]]
{"store_name": "IHOP", "store_addr": "707E.CesarChavezSt. Austin,TX78701", "telephone": "(512)478-1188", "date": "Feb29\u00b416", "time": "03:03AM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Splashberry", "item_value": "$2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SierraMist", "item_value": "$2.39", "item_quantity": "1"}, {"item_key": "", "item_name": "BigSteak", "item_value": "$9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Colorado", "item_value": "$9.79", "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
[[[[159.0, 11.0], [405.0, 11.0], [405.0, 137.0], [159.0, 137.0]], ('CRRRk', 0.5263344645500183)], [[[194.0, 137.0], [390.0, 147.0], [389.0, 167.0], [193.0, 157.0]], ('The Real Greek Hoxton', 0.9390320777893066)], [[[202.0, 162.0], [380.0, 171.0], [379.0, 192.0], [201.0, 184.0]], ('14-15 Hoxton Market', 0.9604411125183105)], [[[218.0, 214.0], [305.0, 219.0], [304.0, 240.0], [217.0, 235.0]], ('London', 0.960261344909668)], [[[301.0, 217.0], [364.0, 219.0], [364.0, 240.0], [300.0, 238.0]], ('N16HG', 0.9836438298225403)], [[[202.0, 239.0], [382.0, 244.0], [381.0, 265.0], [201.0, 260.0]], ('Tel02077398212', 0.9610496163368225)], [[[62.0, 282.0], [135.0, 289.0], [133.0, 311.0], [60.0, 304.0]], ('Marzena', 0.996601939201355)], [[[454.0, 292.0], [515.0, 296.0], [513.0, 321.0], [452.0, 317.0]], ('11l11', 0.6296013593673706)], [[[61.0, 310.0], [220.0, 317.0], [219.0, 338.0], [60.0, 331.0]], ('21/10/200921:35', 0.9874560236930847)], [[[455.0, 319.0], [513.0, 322.0], [512.0, 345.0], [454.0, 342.0]], ('000057', 0.9192333817481995)], [[[100.0, 391.0], [279.0, 395.0], [279.0, 419.0], [99.0, 415.0]], ('Tables 13', 0.8774449825286865)], [[[96.0, 419.0], [280.0, 421.0], [280.0, 445.0], [96.0, 443.0]], ('Covers2', 0.9892927408218384)], [[[47.0, 500.0], [64.0, 500.0], [64.0, 521.0], [47.0, 521.0]], ('1', 0.935459554195404)], [[[104.0, 500.0], [297.0, 500.0], [297.0, 520.0], [104.0, 520.0]], ('Petit Papillon Rose', 0.9606876373291016)], [[[461.0, 501.0], [523.0, 501.0], [523.0, 523.0], [461.0, 523.0]], ('17.50', 0.9927200078964233)], [[[103.0, 528.0], [208.0, 528.0], [208.0, 549.0], [103.0, 549.0]], ('Flat Bread', 0.952886700630188)], [[[471.0, 528.0], [522.0, 528.0], [522.0, 551.0], [471.0, 551.0]], ('2.00', 0.9883473515510559)], [[[45.0, 556.0], [62.0, 556.0], [62.0, 580.0], [45.0, 580.0]], ('1', 0.9786697626113892)], [[[102.0, 556.0], [246.0, 556.0], [246.0, 578.0], [102.0, 578.0]], ('Skewer Chicken', 0.9626110792160034)], [[[469.0, 554.0], [523.0, 554.0], [523.0, 580.0], [469.0, 580.0]], ('4.75', 0.993622362613678)], [[[44.0, 586.0], [60.0, 586.0], [60.0, 610.0], [44.0, 610.0]], ('1', 0.7076529264450073)], [[[99.0, 586.0], [216.0, 583.0], [216.0, 608.0], [99.0, 610.0]], ('Skewer Lamb', 0.9619938135147095)], [[[469.0, 583.0], [523.0, 583.0], [523.0, 608.0], [469.0, 608.0]], ('5.25', 0.9952802658081055)], [[[45.0, 614.0], [61.0, 616.0], [58.0, 640.0], [42.0, 638.0]], ('11', 0.5564016699790955)], [[[100.0, 616.0], [275.0, 616.0], [275.0, 637.0], [100.0, 637.0]], ('GrilledAsparagus', 0.9881423711776733)], [[[471.0, 611.0], [522.0, 611.0], [522.0, 634.0], [471.0, 634.0]], ('3.95', 0.9949225783348083)], [[[43.0, 643.0], [60.0, 645.0], [57.0, 670.0], [40.0, 667.0]], ('1', 0.9762868285179138)], [[[97.0, 644.0], [286.0, 641.0], [286.0, 664.0], [97.0, 667.0]], ('Halloumi Melitzano', 0.9546104073524475)], [[[471.0, 639.0], [522.0, 639.0], [522.0, 662.0], [471.0, 662.0]], ('3.95', 0.9941490888595581)], [[[40.0, 674.0], [57.0, 674.0], [57.0, 699.0], [40.0, 699.0]], ('1', 0.9833283424377441)], [[[95.0, 673.0], [182.0, 671.0], [183.0, 696.0], [95.0, 698.0]], ('Kalamari', 0.9927949905395508)], [[[472.0, 667.0], [523.0, 667.0], [523.0, 690.0], [472.0, 690.0]], ('5.75', 0.9962019324302673)], [[[93.0, 703.0], [142.0, 703.0], [142.0, 729.0], [93.0, 729.0]], ('Rice', 0.998041033744812)], [[[472.0, 695.0], [523.0, 695.0], [523.0, 718.0], [472.0, 718.0]], ('2.95', 0.994530439376831)], [[[39.0, 705.0], [56.0, 705.0], [56.0, 728.0], [39.0, 728.0]], ('1', 0.9825316071510315)], [[[452.0, 723.0], [526.0, 723.0], [526.0, 748.0], [452.0, 748.0]], ('-14.30', 0.973259449005127)], [[[39.0, 735.0], [56.0, 735.0], [56.0, 759.0], [39.0, 759.0]], ('1', 0.9888076186180115)], [[[94.0, 736.0], [295.0, 729.0], [295.0, 752.0], [95.0, 759.0]], ('Gourmet Society 50%', 0.9592899680137634)], [[[271.0, 788.0], [348.0, 788.0], [348.0, 813.0], [271.0, 813.0]], ('8Items', 0.982820987701416)], [[[405.0, 843.0], [527.0, 837.0], [528.0, 861.0], [406.0, 867.0]], ('31.80', 0.9492891430854797)], [[[90.0, 855.0], [146.0, 852.0], [147.0, 880.0], [92.0, 882.0]], ('TOTAL', 0.9979268312454224)]]
{"store_name": "THEREAL GREEK TheRealGreekHoxton", "store_addr": "14-15HoxtonMarket LondonN16HG", "telephone": "02077398212", "date": "21/10/2009", "time": "21:35", "subtotal": "", "tax": "", "total": "\u00a331.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PetitPapillonRose", "item_value": "\u00a317.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FlatBread", "item_value": "\u00a32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SkewerChicken", "item_value": "\u00a34.75", "item_quantity": "1"}, {"item_key": "", "item_name": "SkewerLamb", "item_value": "\u00a35.25", "item_quantity": "1"}, {"item_key": "", "item_name": "GrilledAsparagus", "item_value": "\u00a33.95", "item_quantity": "1"}, {"item_key": "", "item_name": "HalloumiMelitzano", "item_value": "\u00a33.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Kalamari", "item_value": "\u00a35.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Rice", "item_value": "\u00a32.95", "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
[[[[84.0, 55.0], [146.0, 55.0], [146.0, 66.0], [84.0, 66.0]], ('ICHIBAN SUSHI', 0.9041571021080017)], [[[54.0, 65.0], [175.0, 62.0], [175.0, 75.0], [55.0, 78.0]], ('Green Pranuka.Unt GF 02', 0.8521100878715515)], [[[72.0, 75.0], [158.0, 73.0], [158.0, 86.0], [72.0, 89.0]], ('J1.Jend.A.Yan', 0.9196052551269531)], [[[97.0, 86.0], [132.0, 86.0], [132.0, 97.0], [97.0, 97.0]], ('Jakarta', 0.9927822947502136)], [[[5.0, 109.0], [62.0, 109.0], [62.0, 121.0], [5.0, 121.0]], ('POS:cashier', 0.9266701340675354)], [[[163.0, 106.0], [230.0, 106.0], [230.0, 118.0], [163.0, 118.0]], ('Cashier: santi', 0.8933814167976379)], [[[5.0, 122.0], [58.0, 122.0], [58.0, 133.0], [5.0, 133.0]], ('Print Cnt:1', 0.9180427193641663)], [[[171.0, 140.0], [232.0, 140.0], [232.0, 154.0], [171.0, 154.0]], ('Server:irma', 0.9125003814697266)], [[[6.0, 152.0], [109.0, 152.0], [109.0, 165.0], [6.0, 165.0]], ('Sep120173:0524PM', 0.9211649298667908)], [[[198.0, 151.0], [232.0, 151.0], [232.0, 165.0], [198.0, 165.0]], ('PAX:2', 0.9138871431350708)], [[[9.0, 166.0], [56.0, 166.0], [56.0, 177.0], [9.0, 177.0]], ('TBL6', 0.9752596616744995)], [[[7.0, 186.0], [133.0, 186.0], [133.0, 199.0], [7.0, 199.0]], ('1 Spicy Creany Vo lkano Ro11', 0.8736885786056519)], [[[200.0, 185.0], [231.0, 185.0], [231.0, 196.0], [200.0, 196.0]], ('50,000', 0.9210310578346252)], [[[8.0, 197.0], [121.0, 197.0], [121.0, 210.0], [8.0, 210.0]], ('1 Chicken teriyaki Bento', 0.9311132431030273)], [[[197.0, 205.0], [232.0, 207.0], [231.0, 221.0], [196.0, 219.0]], ('40,000', 0.9091637134552002)], [[[199.0, 196.0], [230.0, 196.0], [230.0, 207.0], [199.0, 207.0]], ('62,000', 0.9042906761169434)], [[[9.0, 208.0], [104.0, 208.0], [104.0, 221.0], [9.0, 221.0]], ('1Beet Teriyaki Rice', 0.8914394378662109)], [[[9.0, 220.0], [41.0, 220.0], [41.0, 231.0], [9.0, 231.0]], ('20cha', 0.8388139605522156)], [[[200.0, 217.0], [230.0, 217.0], [230.0, 231.0], [200.0, 231.0]], ('18,000', 0.9476026892662048)], [[[10.0, 239.0], [77.0, 239.0], [77.0, 253.0], [10.0, 253.0]], ('Totai Iten4', 0.8548184037208557)], [[[168.0, 240.0], [229.0, 240.0], [229.0, 251.0], [168.0, 251.0]], ('Total Qty:5', 0.8489212393760681)], [[[11.0, 261.0], [50.0, 261.0], [50.0, 272.0], [11.0, 272.0]], ('Subtotal', 0.9823941588401794)], [[[194.0, 259.0], [231.0, 259.0], [231.0, 273.0], [194.0, 273.0]], ('170.000', 0.9161208868026733)], [[[10.0, 271.0], [77.0, 269.0], [77.0, 283.0], [10.0, 285.0]], ('Service Charge', 0.948226809501648)], [[[198.0, 281.0], [230.0, 281.0], [230.0, 295.0], [198.0, 295.0]], ('17,935', 0.9622189998626709)], [[[202.0, 272.0], [230.0, 272.0], [230.0, 283.0], [202.0, 283.0]], ('9.350', 0.8814448118209839)], [[[12.0, 283.0], [73.0, 283.0], [73.0, 293.0], [12.0, 293.0]], ('TaxResto10%', 0.7975326776504517)], [[[13.0, 294.0], [56.0, 294.0], [56.0, 304.0], [13.0, 304.0]], ('Total', 0.9930963516235352)], [[[163.0, 290.0], [229.0, 292.0], [229.0, 307.0], [163.0, 304.0]], ('197.285', 0.9691692590713501)], [[[50.0, 322.0], [189.0, 323.0], [189.0, 338.0], [50.0, 336.0]], ('Printed Sep 12017 3:05:35H', 0.8936305642127991)], [[[47.0, 344.0], [190.0, 347.0], [190.0, 360.0], [46.0, 358.0]], ('Thank You and Please Core Again', 0.8825247883796692)], [[[72.0, 355.0], [169.0, 358.0], [169.0, 371.0], [72.0, 369.0]], ('Custoner Care Please', 0.9226840734481812)], [[[47.0, 366.0], [190.0, 369.0], [190.0, 382.0], [46.0, 379.0]], ('Ehelioichibansush1.co.id', 0.8545265793800354)], [[[71.0, 377.0], [163.0, 378.0], [163.0, 392.0], [71.0, 391.0]], ('FbIchbansushi_I0', 0.824616551399231)], [[[59.0, 388.0], [176.0, 389.0], [176.0, 403.0], [59.0, 402.0]], ('Twittereichibansushi_ID', 0.9233013391494751)], [[[56.0, 410.0], [181.0, 412.0], [181.0, 425.0], [56.0, 423.0]], ('Hebw.1chibansushi.co.id', 0.8541396856307983)], [[[59.0, 401.0], [180.0, 401.0], [180.0, 414.0], [59.0, 414.0]], ('Instagran:ichibansushi_10', 0.9246384501457214)]]
{"store_name": "ICHIBANSUSHI", "store_addr": "GreenPranuka.UnitGF02 JI.Jend.A.Yani Jakarta", "telephone": "", "date": "Sep1.20173:05:24pm Sep1.2017", "time": "3:05:35PM", "subtotal": "170.000", "tax": "17.935", "total": "197.285", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SpicyCreamyVolkanoRoll", "item_value": "50.000", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenteriyakiBento", "item_value": "62.000", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefTeriyakiRice", "item_value": "40.000", "item_quantity": "1"}, {"item_key": "", "item_name": "Ocha", "item_value": "18.000", "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
[[[[61.0, 70.0], [187.0, 79.0], [186.0, 93.0], [60.0, 84.0]], ('RESTAURANT SALINE', 0.9805186986923218)], [[[51.0, 96.0], [197.0, 105.0], [196.0, 118.0], [50.0, 109.0]], ('RC78054716000024L555', 0.7848803997039795)], [[[54.0, 88.0], [118.0, 93.0], [117.0, 104.0], [53.0, 99.0]], ('62REGETA', 0.7138221263885498)], [[[133.0, 93.0], [195.0, 98.0], [194.0, 109.0], [132.0, 104.0]], ('642002', 0.8152308464050293)], [[[58.0, 123.0], [140.0, 130.0], [139.0, 141.0], [57.0, 134.0]], ('2.COUVERTS', 0.9101873636245728)], [[[119.0, 116.0], [160.0, 121.0], [159.0, 133.0], [117.0, 128.0]], ('TABLE', 0.9870874285697937)], [[[179.0, 123.0], [189.0, 123.0], [189.0, 133.0], [179.0, 133.0]], ('2', 0.9845725297927856)], [[[51.0, 157.0], [115.0, 160.0], [114.0, 173.0], [50.0, 170.0]], ('Qte D6sigration', 0.7777143120765686)], [[[160.0, 162.0], [178.0, 162.0], [178.0, 174.0], [160.0, 174.0]], ('P.U.', 0.8608237504959106)], [[[186.0, 163.0], [208.0, 163.0], [208.0, 174.0], [186.0, 174.0]], ('TOTAL', 0.9947031140327454)], [[[61.0, 185.0], [139.0, 187.0], [139.0, 200.0], [60.0, 198.0]], ('CEVICHE TAHITIENNE', 0.8811033964157104)], [[[62.0, 176.0], [140.0, 178.0], [140.0, 189.0], [62.0, 187.0]], ('SALADE DE CHOU THA', 0.8754671812057495)], [[[156.0, 179.0], [177.0, 179.0], [177.0, 191.0], [156.0, 191.0]], ('5.00', 0.985675573348999)], [[[156.0, 186.0], [178.0, 189.0], [177.0, 200.0], [155.0, 197.0]], ('16.00', 0.9459565281867981)], [[[188.0, 187.0], [212.0, 190.0], [211.0, 202.0], [186.0, 200.0]], ('36.00', 0.8831673860549927)], [[[191.0, 180.0], [211.0, 180.0], [211.0, 192.0], [191.0, 192.0]], ('5.00', 0.8992813229560852)], [[[61.0, 195.0], [115.0, 197.0], [114.0, 208.0], [60.0, 206.0]], ('VERRE SALINE', 0.936357319355011)], [[[48.0, 205.0], [82.0, 205.0], [82.0, 216.0], [48.0, 216.0]], ('SODA', 0.8121591806411743)], [[[157.0, 198.0], [178.0, 198.0], [178.0, 210.0], [157.0, 210.0]], ('3.00', 0.992598831653595)], [[[189.0, 197.0], [212.0, 197.0], [212.0, 212.0], [189.0, 212.0]], ('6.00', 0.9723554253578186)], [[[156.0, 207.0], [178.0, 207.0], [178.0, 219.0], [156.0, 219.0]], ('3.00', 0.9903671145439148)], [[[192.0, 206.0], [213.0, 208.0], [211.0, 220.0], [190.0, 218.0]], ('3.00', 0.9826479554176331)], [[[108.0, 224.0], [154.0, 226.0], [152.0, 245.0], [107.0, 243.0]], ('TOTAL EURO', 0.8485990762710571)], [[[187.0, 224.0], [214.0, 228.0], [212.0, 248.0], [185.0, 245.0]], ('50.00', 0.9302774667739868)], [[[105.0, 249.0], [143.0, 251.0], [142.0, 265.0], [104.0, 263.0]], ('TVA20X', 0.8639984130859375)], [[[107.0, 259.0], [143.0, 261.0], [142.0, 276.0], [106.0, 273.0]], ('TVA10%', 0.8699447512626648)], [[[193.0, 251.0], [215.0, 251.0], [215.0, 266.0], [193.0, 266.0]], ('1.00', 0.9780253171920776)], [[[194.0, 260.0], [215.0, 263.0], [213.0, 275.0], [192.0, 272.0]], ('4.00', 0.962510347366333)], [[[67.0, 281.0], [126.0, 281.0], [126.0, 299.0], [67.0, 299.0]], ('RESTE A PAVER', 0.8864426016807556)], [[[155.0, 281.0], [184.0, 281.0], [184.0, 302.0], [155.0, 302.0]], ('50.00', 0.979415774345398)], [[[78.0, 321.0], [175.0, 321.0], [175.0, 334.0], [78.0, 334.0]], ('Merci de votre visite', 0.9296277165412903)], [[[118.0, 358.0], [167.0, 358.0], [167.0, 369.0], [118.0, 369.0]], ('VENDEUR O', 0.9330592751502991)], [[[174.0, 357.0], [221.0, 357.0], [221.0, 368.0], [174.0, 368.0]], ('CAISSE N', 0.9327247142791748)]]
{"store_name": "RESTAURANTSALINE", "store_addr": "", "telephone": "0559436588", "date": "18AVR2014", "time": "21:35", "subtotal": "", "tax": "1.00 4.00", "total": "50.00 50.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SALADEDECHOUTHAl", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CEVICHETAHITIEKNE", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VERRESALINE", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SOOA", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "Besigretion", "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
[[[[81.0, 32.0], [258.0, 35.0], [258.0, 62.0], [81.0, 59.0]], ('FIVE GUYS', 0.9633454084396362)], [[[135.0, 73.0], [205.0, 77.0], [204.0, 91.0], [134.0, 87.0]], ('STOREGA-0645', 0.9227363467216492)], [[[133.0, 84.0], [207.0, 88.0], [206.0, 103.0], [132.0, 99.0]], ('1508 Hy 20 west', 0.8476512432098389)], [[[126.0, 96.0], [213.0, 97.0], [213.0, 112.0], [126.0, 110.0]], ('McDonough.GA30253', 0.831113338470459)], [[[128.0, 107.0], [211.0, 109.0], [211.0, 123.0], [128.0, 121.0]], ('Phone 770-288-2918', 0.940220832824707)], [[[72.0, 138.0], [174.0, 142.0], [174.0, 156.0], [72.0, 153.0]], ('Order Id:AAADTFCYAECK', 0.8966466188430786)], [[[73.0, 130.0], [118.0, 130.0], [118.0, 141.0], [73.0, 141.0]], ('2/17/2016', 0.9940726161003113)], [[[215.0, 131.0], [262.0, 131.0], [262.0, 145.0], [215.0, 145.0]], ('1:09:37PM', 0.8902105689048767)], [[[73.0, 148.0], [144.0, 153.0], [143.0, 167.0], [72.0, 162.0]], ('40-FIVE UYS', 0.8107348084449768)], [[[73.0, 161.0], [170.0, 163.0], [170.0, 177.0], [73.0, 175.0]], ('Employee:Kelandrsa K', 0.8339158296585083)], [[[82.0, 232.0], [134.0, 235.0], [133.0, 249.0], [81.0, 246.0]], ('1 Ranburgar', 0.8659646511077881)], [[[235.0, 235.0], [262.0, 235.0], [262.0, 248.0], [235.0, 248.0]], ('669$', 0.6313374042510986)], [[[96.0, 245.0], [121.0, 247.0], [120.0, 259.0], [95.0, 257.0]], ('Mayo', 0.8787596225738525)], [[[234.0, 245.0], [263.0, 245.0], [263.0, 259.0], [234.0, 259.0]], ('$0.00', 0.9943684339523315)], [[[96.0, 257.0], [130.0, 257.0], [130.0, 268.0], [96.0, 268.0]], ('Lettuce', 0.9631625413894653)], [[[236.0, 257.0], [263.0, 257.0], [263.0, 270.0], [236.0, 270.0]], ('$0.00', 0.9896761178970337)], [[[95.0, 268.0], [130.0, 268.0], [130.0, 279.0], [95.0, 279.0]], ('Pickles', 0.9843355417251587)], [[[95.0, 277.0], [136.0, 279.0], [135.0, 294.0], [94.0, 291.0]], ('Tonatces', 0.8529120683670044)], [[[236.0, 268.0], [263.0, 268.0], [263.0, 281.0], [236.0, 281.0]], ('$0.00', 0.981059193611145)], [[[236.0, 279.0], [263.0, 279.0], [263.0, 292.0], [236.0, 292.0]], ('50.00', 0.9010471105575562)], [[[95.0, 290.0], [159.0, 290.0], [159.0, 301.0], [95.0, 301.0]], ('Grllled Onions', 0.7886645197868347)], [[[237.0, 291.0], [262.0, 291.0], [262.0, 302.0], [237.0, 302.0]], ('$0.00', 0.9484421610832214)], [[[82.0, 302.0], [148.0, 302.0], [148.0, 313.0], [82.0, 313.0]], ('1.Regular Soda', 0.9451547861099243)], [[[237.0, 302.0], [263.0, 302.0], [263.0, 313.0], [237.0, 313.0]], ('$2.39', 0.9697635769844055)], [[[71.0, 323.0], [115.0, 323.0], [115.0, 338.0], [71.0, 338.0]], ('Sub Total', 0.9360263347625732)], [[[238.0, 324.0], [263.0, 324.0], [263.0, 336.0], [238.0, 336.0]], ('$9.38', 0.941510796546936)], [[[71.0, 349.0], [114.0, 349.0], [114.0, 360.0], [71.0, 360.0]], ('Sales Tax', 0.9150048494338989)], [[[236.0, 347.0], [265.0, 347.0], [265.0, 361.0], [236.0, 361.0]], ('$0.66', 0.9604266285896301)], [[[69.0, 360.0], [122.0, 360.0], [122.0, 371.0], [69.0, 371.0]], ('Order Total', 0.8283651471138)], [[[233.0, 359.0], [265.0, 359.0], [265.0, 373.0], [233.0, 373.0]], ('$10.04', 0.9843118190765381)], [[[70.0, 384.0], [146.0, 384.0], [146.0, 394.0], [70.0, 394.0]], ('Amurican Express', 0.8661471605300903)], [[[233.0, 382.0], [266.0, 382.0], [266.0, 396.0], [233.0, 396.0]], ('$10.04', 0.9922046065330505)], [[[87.0, 392.0], [192.0, 391.0], [192.0, 405.0], [87.0, 406.0]], ('Card*1006', 0.814623236656189)], [[[87.0, 403.0], [189.0, 404.0], [189.0, 418.0], [87.0, 417.0]], ('Authorzation554974', 0.9770218729972839)]]
{"store_name": "FIVEGUYS", "store_addr": "McDonough,GA30253", "telephone": "770-288-2918", "date": "2/17/2016", "time": "1:09:37PM", "subtotal": "$9.38", "tax": "$0.66", "total": "$10.04", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "RegularSoda", "item_value": "$6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Pickles", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Lettuce", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mayo", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Hamburgar", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$2.39", "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
[[[[239.0, 234.0], [417.0, 214.0], [420.0, 239.0], [242.0, 259.0]], ('STORE #NY-1104', 0.9645577669143677)], [[[131.0, 275.0], [553.0, 230.0], [556.0, 255.0], [134.0, 300.0]], ('CENTRAL TERMINAL BUILDING SPACE WF2', 0.9525935649871826)], [[[231.0, 294.0], [429.0, 275.0], [431.0, 299.0], [234.0, 318.0]], ('LAGUARDIA AIRPORT', 0.9788758754730225)], [[[235.0, 323.0], [443.0, 303.0], [445.0, 329.0], [237.0, 348.0]], ('FLUSHINGNY 11371', 0.9672878980636597)], [[[250.0, 352.0], [435.0, 334.0], [438.0, 359.0], [252.0, 377.0]], ('P718-505-0565', 0.9868196249008179)], [[[228.0, 382.0], [475.0, 360.0], [477.0, 385.0], [231.0, 407.0]], ('7/22/2017 2:14:21PM', 0.9437191486358643)], [[[239.0, 411.0], [451.0, 394.0], [455.0, 436.0], [243.0, 454.0]], ('FIVE GUYS', 0.9617608189582825)], [[[297.0, 451.0], [374.0, 445.0], [376.0, 471.0], [299.0, 477.0]], ('868604', 0.9963840842247009)], [[[120.0, 463.0], [294.0, 453.0], [296.0, 475.0], [121.0, 485.0]], ('Order Number', 0.9571660161018372)], [[[253.0, 509.0], [446.0, 499.0], [447.0, 520.0], [254.0, 531.0]], ('*****REFUND*****', 0.9614800214767456)], [[[544.0, 520.0], [602.0, 517.0], [603.0, 545.0], [545.0, 548.0]], ('3.19', 0.9934633374214172)], [[[116.0, 545.0], [231.0, 537.0], [233.0, 563.0], [118.0, 571.0]], ('-1LTL FRY', 0.9208447933197021)], [[[525.0, 549.0], [603.0, 547.0], [604.0, 578.0], [526.0, 581.0]], ('0.32)', 0.931170642375946)], [[[112.0, 573.0], [336.0, 560.0], [338.0, 588.0], [114.0, 602.0]], ('-1 10% Airport/Ma11', 0.9350842833518982)], [[[517.0, 613.0], [608.0, 609.0], [610.0, 639.0], [519.0, 643.0]], ('$2.87', 0.9903491735458374)], [[[141.0, 631.0], [275.0, 624.0], [276.0, 653.0], [143.0, 660.0]], ('Sub.Total:', 0.9389972686767578)], [[[519.0, 646.0], [612.0, 642.0], [613.0, 673.0], [521.0, 676.0]], ('$0.26', 0.9831317663192749)], [[[141.0, 661.0], [194.0, 661.0], [194.0, 690.0], [141.0, 690.0]], ('Tax:', 0.9739141464233398)], [[[522.0, 680.0], [615.0, 676.0], [616.0, 707.0], [523.0, 711.0]], ('$3.13', 0.9904804229736328)], [[[138.0, 692.0], [214.0, 688.0], [216.0, 718.0], [140.0, 722.0]], ('Total:', 0.9823657870292664)], [[[547.0, 713.0], [621.0, 710.0], [623.0, 741.0], [548.0, 744.0]], ('$0.32', 0.9938162565231323)], [[[136.0, 725.0], [326.0, 720.0], [327.0, 748.0], [137.0, 753.0]], ('Discount Total:', 0.963254988193512)], [[[132.0, 788.0], [201.0, 791.0], [199.0, 821.0], [131.0, 818.0]], ('Visa:', 0.9846550226211548)], [[[529.0, 780.0], [626.0, 780.0], [626.0, 814.0], [529.0, 814.0]], ('$3.13', 0.989989161491394)], [[[133.0, 824.0], [212.0, 824.0], [212.0, 854.0], [133.0, 854.0]], ('Change', 0.997910737991333)], [[[556.0, 817.0], [631.0, 817.0], [631.0, 848.0], [556.0, 848.0]], ('$0.00', 0.9947131276130676)], [[[97.0, 860.0], [227.0, 857.0], [227.0, 885.0], [97.0, 888.0]], ('Register:2', 0.9864147305488586)], [[[358.0, 856.0], [553.0, 856.0], [553.0, 884.0], [358.0, 884.0]], ('Tran Seq No:', 0.8819451332092285)], [[[542.0, 855.0], [634.0, 855.0], [634.0, 884.0], [542.0, 884.0]], ('868604', 0.9972882270812988)], [[[100.0, 895.0], [324.0, 895.0], [324.0, 920.0], [100.0, 920.0]], ('Cashier:Fabiola C', 0.9552294611930847)], [[[91.0, 958.0], [148.0, 964.0], [144.0, 998.0], [87.0, 992.0]], ('Visa', 0.995995283126831)]]
{"store_name": "FIVEGUYS", "store_addr": "CENTRALTERMINALBUILDING,SPACEWF2 LAGUARDIAAIRPORT FLUSHING,NY11371", "telephone": "(P)718-505-0565", "date": "7/22/2017", "time": "2:14:21PM", "subtotal": "($2.87)", "tax": "($0.26)", "total": "($3.13) ($3.13)", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LTLFRY", "item_value": "3.19", "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
[[[[145.0, 11.0], [244.0, 11.0], [244.0, 30.0], [145.0, 30.0]], ('Fresh Foods', 0.9574176669120789)], [[[129.0, 35.0], [272.0, 35.0], [272.0, 55.0], [129.0, 55.0]], ('1234 Main Street', 0.9470411539077759)], [[[103.0, 60.0], [296.0, 60.0], [296.0, 77.0], [103.0, 77.0]], ('Anytown,US12345-6789', 0.9572024345397949)], [[[139.0, 83.0], [263.0, 83.0], [263.0, 103.0], [139.0, 103.0]], ('555123-4567', 0.97784423828125)], [[[64.0, 127.0], [131.0, 130.0], [130.0, 151.0], [63.0, 149.0]], ('Grocery', 0.9979270100593567)], [[[303.0, 128.0], [377.0, 125.0], [378.0, 148.0], [304.0, 150.0]], ('$5.00F1', 0.9178603291511536)], [[[22.0, 152.0], [182.0, 154.0], [182.0, 174.0], [21.0, 172.0]], ('ISC 10% Discount', 0.9046847224235535)], [[[284.0, 154.0], [378.0, 154.0], [378.0, 172.0], [284.0, 172.0]], ('V-$0.50F1', 0.9043538570404053)], [[[21.0, 199.0], [87.0, 199.0], [87.0, 220.0], [21.0, 220.0]], ('Items:1', 0.9554654955863953)], [[[199.0, 200.0], [270.0, 200.0], [270.0, 218.0], [199.0, 218.0]], ('Subtotal', 0.9921879172325134)], [[[304.0, 199.0], [353.0, 199.0], [353.0, 218.0], [304.0, 218.0]], ('$4.50', 0.9924311637878418)], [[[189.0, 221.0], [273.0, 223.0], [272.0, 245.0], [189.0, 242.0]], ('Sales Tax', 0.955346941947937)], [[[303.0, 222.0], [353.0, 222.0], [353.0, 245.0], [303.0, 245.0]], ('$0.36', 0.9934841394424438)], [[[23.0, 274.0], [82.0, 274.0], [82.0, 300.0], [23.0, 300.0]], ('***', 0.9142648577690125)], [[[83.0, 270.0], [180.0, 270.0], [180.0, 303.0], [83.0, 303.0]], ('TOTAL', 0.9956728219985962)], [[[252.0, 271.0], [343.0, 271.0], [343.0, 304.0], [252.0, 304.0]], ('$4.86', 0.9964734315872192)], [[[232.0, 338.0], [275.0, 338.0], [275.0, 361.0], [232.0, 361.0]], ('Cash', 0.9946776628494263)], [[[294.0, 340.0], [352.0, 337.0], [353.0, 359.0], [295.0, 362.0]], ('$10.00', 0.9962583184242249)], [[[215.0, 361.0], [274.0, 364.0], [273.0, 387.0], [214.0, 384.0]], ('Change', 0.9974974989891052)], [[[303.0, 363.0], [353.0, 363.0], [353.0, 385.0], [303.0, 385.0]], ('$5.14', 0.9935499429702759)], [[[104.0, 413.0], [297.0, 413.0], [297.0, 430.0], [104.0, 430.0]], ('Your cashier was Donna', 0.9457264542579651)], [[[155.0, 459.0], [244.0, 459.0], [244.0, 477.0], [155.0, 477.0]], ('Thank You!', 0.9345747232437134)], [[[77.0, 505.0], [315.0, 505.0], [315.0, 523.0], [77.0, 523.0]], ('3/18/2014 09:56123-4567890', 0.9577265977859497)]]
{"store_name": "FreshFoods", "store_addr": "Anytown,US12345-6789 1234MainStreet", "telephone": "(555)123-4567", "date": "3/18/2014", "time": "09:56", "subtotal": "$4.50", "tax": "$0.36", "total": "$4.86", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Grocery", "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
[[[[125.0, 22.0], [194.0, 22.0], [194.0, 40.0], [125.0, 40.0]], ('Delicacy', 0.9923372268676758)], [[[97.0, 40.0], [222.0, 33.0], [223.0, 47.0], [98.0, 55.0]], ('Hosptalty Inda Pvi Ltd', 0.8347207903862)], [[[55.0, 55.0], [268.0, 45.0], [269.0, 62.0], [56.0, 73.0]], ('Nizaspet Cross Road KukatpallyHyderabad', 0.8229082822799683)], [[[43.0, 89.0], [128.0, 85.0], [129.0, 98.0], [43.0, 102.0]], ('Date26/03/2018', 0.9786838889122009)], [[[192.0, 82.0], [255.0, 78.0], [256.0, 95.0], [193.0, 99.0]], ('1123:02', 0.8455320000648499)], [[[43.0, 103.0], [151.0, 100.0], [151.0, 114.0], [43.0, 117.0]], ('Bied By :Shashikala', 0.860867440700531)], [[[191.0, 99.0], [255.0, 96.0], [256.0, 110.0], [191.0, 113.0]], ('8111No77', 0.6716901063919067)], [[[43.0, 119.0], [138.0, 117.0], [138.0, 132.0], [43.0, 133.0]], ('Order lypeZomato', 0.8803485631942749)], [[[192.0, 115.0], [252.0, 112.0], [253.0, 127.0], [192.0, 130.0]], ('lable:17', 0.7922213673591614)], [[[43.0, 134.0], [151.0, 133.0], [151.0, 147.0], [43.0, 148.0]], ('est Name72829016', 0.9181655049324036)], [[[41.0, 164.0], [90.0, 167.0], [89.0, 181.0], [40.0, 179.0]], ('Ites Name', 0.8474248051643372)], [[[206.0, 164.0], [235.0, 164.0], [235.0, 179.0], [206.0, 179.0]], ('Qty', 0.9522019028663635)], [[[241.0, 159.0], [273.0, 162.0], [271.0, 177.0], [240.0, 174.0]], ('Price', 0.8630818128585815)], [[[41.0, 196.0], [136.0, 197.0], [136.0, 211.0], [41.0, 210.0]], ('Chinese Veg Platter', 0.9591396450996399)], [[[208.0, 197.0], [216.0, 197.0], [216.0, 207.0], [208.0, 207.0]], ('1', 0.9009614586830139)], [[[241.0, 195.0], [273.0, 195.0], [273.0, 209.0], [241.0, 209.0]], ('339.0', 0.9913166761398315)], [[[41.0, 228.0], [245.0, 229.0], [245.0, 243.0], [41.0, 242.0]], ('Total no.items1lotal no.qty', 0.8661200404167175)], [[[40.0, 261.0], [88.0, 261.0], [88.0, 275.0], [40.0, 275.0]], ('SubTotal', 0.9358928203582764)], [[[252.0, 260.0], [276.0, 263.0], [274.0, 279.0], [250.0, 276.0]], ('339', 0.998682975769043)], [[[38.0, 276.0], [74.0, 279.0], [73.0, 294.0], [37.0, 291.0]], ('Gst 5%', 0.9005586504936218)], [[[244.0, 280.0], [276.0, 280.0], [276.0, 295.0], [244.0, 295.0]], ('16.95', 0.982347846031189)], [[[40.0, 310.0], [149.0, 310.0], [149.0, 324.0], [40.0, 324.0]], ('Grand Total', 0.9742206335067749)], [[[198.0, 310.0], [253.0, 315.0], [252.0, 330.0], [197.0, 325.0]], ('356.0', 0.9927951693534851)], [[[38.0, 342.0], [218.0, 346.0], [218.0, 360.0], [37.0, 357.0]], ('Three Hundred Fifty Six Rupees Only', 0.943647027015686)], [[[37.0, 360.0], [207.0, 363.0], [206.0, 377.0], [36.0, 374.0]], ('Free Hose De11very9133352228/9', 0.9269994497299194)], [[[37.0, 376.0], [156.0, 378.0], [155.0, 393.0], [36.0, 391.0]], ('GSTIN36AAFC06456M275', 0.8942448496818542)], [[[78.0, 393.0], [237.0, 400.0], [236.0, 414.0], [77.0, 407.0]], ('Thank you !Please visit again.', 0.9199820756912231)]]
{"store_name": "Delicacy", "store_addr": "", "telephone": "", "date": "26/03/2018", "time": "23:02", "subtotal": "339", "tax": "16.95", "total": "356.0", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ChineseVegPlatter", "item_value": "339.0", "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
[[[[86.0, 48.0], [244.0, 77.0], [241.0, 91.0], [83.0, 63.0]], ('PICO DE GALLO', 0.9333270192146301)], [[[120.0, 42.0], [215.0, 58.0], [213.0, 73.0], [118.0, 57.0]], ('TAQUERIA', 0.9948413372039795)], [[[112.0, 67.0], [210.0, 84.0], [208.0, 99.0], [110.0, 82.0]], ('2618 S.6TH AVE.', 0.8706190586090088)], [[[56.0, 86.0], [186.0, 109.0], [184.0, 124.0], [53.0, 100.0]], ('DATE 09/06/2007 THU', 0.9475879669189453)], [[[109.0, 80.0], [208.0, 99.0], [206.0, 114.0], [106.0, 96.0]], ('623-8775', 0.9950257539749146)], [[[49.0, 114.0], [144.0, 132.0], [141.0, 147.0], [46.0, 128.0]], ('TACO BARBACO T1', 0.9166425466537476)], [[[191.0, 111.0], [258.0, 121.0], [256.0, 136.0], [189.0, 125.0]], ('TIME09:30', 0.9664387106895447)], [[[44.0, 128.0], [137.0, 146.0], [134.0, 161.0], [42.0, 144.0]], ('TACO BIRRIA T1', 0.8879537582397461)], [[[40.0, 143.0], [139.0, 161.0], [135.0, 179.0], [36.0, 160.0]], ('TACO CARNE A T1', 0.9526304602622986)], [[[217.0, 145.0], [255.0, 149.0], [253.0, 164.0], [215.0, 160.0]], ('$1.25', 0.9923969507217407)], [[[35.0, 158.0], [137.0, 178.0], [133.0, 196.0], [32.0, 176.0]], ('TACO PESCADO T1', 0.9492512345314026)], [[[215.0, 160.0], [253.0, 164.0], [251.0, 180.0], [213.0, 176.0]], ('$1.25', 0.9945640563964844)], [[[54.0, 179.0], [86.0, 185.0], [84.0, 201.0], [51.0, 195.0]], ('MAIZ', 0.9840402007102966)], [[[213.0, 173.0], [252.0, 179.0], [250.0, 194.0], [211.0, 189.0]], ('$1.50', 0.9949609637260437)], [[[26.0, 191.0], [86.0, 201.0], [84.0, 219.0], [23.0, 209.0]], ('PLATO', 0.9692612886428833)], [[[209.0, 188.0], [250.0, 193.0], [247.0, 212.0], [206.0, 207.0]], ('$1.65', 0.9889391660690308)], [[[21.0, 205.0], [50.0, 211.0], [47.0, 228.0], [17.0, 222.0]], ('TAX1', 0.985419750213623)], [[[16.0, 222.0], [51.0, 230.0], [47.0, 247.0], [12.0, 238.0]], ('TOTAL', 0.9978008270263672)], [[[203.0, 221.0], [245.0, 227.0], [242.0, 246.0], [200.0, 240.0]], ('$0.00', 0.9952014088630676)], [[[9.0, 237.0], [44.0, 245.0], [40.0, 265.0], [5.0, 257.0]], ('CASH', 0.9976125955581665)], [[[202.0, 238.0], [243.0, 245.0], [240.0, 263.0], [199.0, 256.0]], ('$0.51', 0.9905408620834351)], [[[198.0, 257.0], [240.0, 262.0], [238.0, 281.0], [195.0, 275.0]], ('$6.16', 0.9886680841445923)], [[[0.0, 272.0], [54.0, 283.0], [50.0, 303.0], [0.0, 292.0]], ('CLERK1', 0.9905990958213806)], [[[59.0, 268.0], [184.0, 289.0], [181.0, 309.0], [56.0, 289.0]], ('*ORDER#0Q10 **', 0.841389536857605)], [[[195.0, 274.0], [238.0, 281.0], [235.0, 300.0], [192.0, 293.0]], ('$6.16', 0.9898558855056763)], [[[100.0, 296.0], [174.0, 308.0], [171.0, 327.0], [97.0, 315.0]], ('No.067364', 0.914031982421875)], [[[189.0, 312.0], [231.0, 319.0], [228.0, 337.0], [186.0, 330.0]], ('00002', 0.9962959289550781)]]
{"store_name": "TAQUERIA PICODEGALLO", "store_addr": "2618S.6THAVE.", "telephone": "623-8775", "date": "09/06/2007THU", "time": "09:30", "subtotal": "", "tax": "$0.51", "total": "$6.16", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TACOBARBACOT1", "item_value": "$1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "TACOBIRRIAT1", "item_value": "$1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "TACOCARNEAT1", "item_value": "$1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TACOPESCADOT1", "item_value": "$1.65", "item_quantity": "1"}, {"item_key": "", "item_name": "PLATO", "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
[[[[817.0, 111.0], [1097.0, 105.0], [1098.0, 182.0], [819.0, 188.0]], ('E1 Faro1', 0.876772403717041)], [[[719.0, 212.0], [1188.0, 197.0], [1190.0, 271.0], [722.0, 286.0]], ('808 Canyon Rd.', 0.9557912945747375)], [[[628.0, 304.0], [1264.0, 287.0], [1266.0, 361.0], [630.0, 378.0]], ('Santa FeNM 87501', 0.9707254767417908)], [[[1329.0, 462.0], [1682.0, 453.0], [1684.0, 527.0], [1331.0, 536.0]], ('06/12/2014', 0.9977065324783325)], [[[262.0, 472.0], [658.0, 478.0], [657.0, 544.0], [261.0, 538.0]], ('Server: Josa', 0.9418568015098572)], [[[256.0, 549.0], [402.0, 549.0], [402.0, 628.0], [256.0, 628.0]], ('65/1', 0.9978387951850891)], [[[1435.0, 544.0], [1686.0, 544.0], [1686.0, 617.0], [1435.0, 617.0]], ('7:25PM', 0.9491203427314758)], [[[255.0, 630.0], [570.0, 636.0], [568.0, 710.0], [253.0, 704.0]], ('Guests:0', 0.9495723843574524)], [[[1497.0, 625.0], [1683.0, 625.0], [1683.0, 702.0], [1497.0, 702.0]], ('50005', 0.9994491338729858)], [[[245.0, 787.0], [1418.0, 775.0], [1419.0, 884.0], [246.0, 895.0]], ('Cabrales-wit honug (rosemay leneg', 0.7719753980636597)], [[[1527.0, 792.0], [1681.0, 792.0], [1681.0, 871.0], [1527.0, 871.0]], ('8.75', 0.9921808242797852)], [[[260.0, 878.0], [829.0, 890.0], [827.0, 953.0], [259.0, 942.0]], ('Tortilla Espanola', 0.9589241147041321)], [[[1527.0, 881.0], [1678.0, 881.0], [1678.0, 953.0], [1527.0, 953.0]], ('8.75', 0.9971835613250732)], [[[246.0, 960.0], [926.0, 971.0], [925.0, 1032.0], [245.0, 1021.0]], ('Portabelas en Jerez', 0.9525589942932129)], [[[1520.0, 964.0], [1673.0, 957.0], [1676.0, 1028.0], [1524.0, 1035.0]], ('8.75', 0.9957606196403503)], [[[249.0, 1042.0], [796.0, 1048.0], [795.0, 1111.0], [248.0, 1105.0]], ('Gambas al Ajillo', 0.9163229465484619)], [[[1524.0, 1048.0], [1675.0, 1048.0], [1675.0, 1116.0], [1524.0, 1116.0]], ('8.75', 0.9966312050819397)], [[[251.0, 1121.0], [1470.0, 1121.0], [1470.0, 1193.0], [251.0, 1193.0]], ('Mejillones (o sul-Zarzuela demaincs', 0.8074093461036682)], [[[1521.0, 1129.0], [1670.0, 1129.0], [1670.0, 1201.0], [1521.0, 1201.0]], ('8.75', 0.9937909245491028)], [[[252.0, 1203.0], [691.0, 1211.0], [690.0, 1277.0], [250.0, 1269.0]], ('Jamon Serrano', 0.9776421189308167)], [[[1524.0, 1211.0], [1670.0, 1211.0], [1670.0, 1282.0], [1524.0, 1282.0]], ('8.75', 0.995975911617279)], [[[240.0, 1266.0], [1470.0, 1272.0], [1470.0, 1372.0], [240.0, 1367.0]], ('Flan-rosemaryLemonw/cocomel', 0.8651027083396912)], [[[1521.0, 1296.0], [1670.0, 1296.0], [1670.0, 1364.0], [1521.0, 1364.0]], ('7.00', 0.9957362413406372)], [[[246.0, 1366.0], [761.0, 1375.0], [760.0, 1449.0], [245.0, 1440.0]], ('Higos y Datiles', 0.9334297776222229)], [[[1524.0, 1380.0], [1672.0, 1380.0], [1672.0, 1449.0], [1524.0, 1449.0]], ('7.00', 0.9934819936752319)], [[[234.0, 1433.0], [1100.0, 1427.0], [1101.0, 1533.0], [235.0, 1538.0]], ('+olivespinx+ostomate,', 0.8534948229789734)], [[[1494.0, 1537.0], [1673.0, 1544.0], [1670.0, 1618.0], [1491.0, 1611.0]], ('-3.00', 0.9602755308151245)], [[[251.0, 1617.0], [521.0, 1617.0], [521.0, 1683.0], [251.0, 1683.0]], ('Subtotal', 0.9965154528617859)], [[[1492.0, 1628.0], [1672.0, 1628.0], [1672.0, 1697.0], [1492.0, 1697.0]], ('63.50', 0.9954397082328796)], [[[248.0, 1697.0], [361.0, 1697.0], [361.0, 1770.0], [248.0, 1770.0]], ('Tax', 0.9971528649330139)], [[[1527.0, 1712.0], [1675.0, 1712.0], [1675.0, 1784.0], [1527.0, 1784.0]], ('5.16', 0.9951235055923462)], [[[245.0, 1858.0], [423.0, 1858.0], [423.0, 1937.0], [245.0, 1937.0]], ('Total', 0.9957442283630371)], [[[1489.0, 1867.0], [1673.0, 1874.0], [1670.0, 1953.0], [1485.0, 1946.0]], ('68.66', 0.9908396005630493)], [[[249.0, 2021.0], [982.0, 2032.0], [981.0, 2103.0], [248.0, 2092.0]], ('Balance Due', 0.938773512840271)], [[[1324.0, 2034.0], [1665.0, 2046.0], [1662.0, 2120.0], [1321.0, 2107.0]], ('68.66', 0.9890989065170288)], [[[522.0, 2192.0], [1387.0, 2214.0], [1385.0, 2278.0], [520.0, 2255.0]], ('Check Us Out elfarolsf.com', 0.9347978234291077)], [[[454.0, 2277.0], [1460.0, 2304.0], [1458.0, 2367.0], [453.0, 2340.0]], ('Ask about our Flamenco & Patio', 0.9422433376312256)], [[[584.0, 2363.0], [1285.0, 2386.0], [1283.0, 2449.0], [582.0, 2427.0]], ('Special Dinner Shows!', 0.9436666369438171)]]
{"store_name": "ElFarol", "store_addr": "808CanyonRd. SantaFe,NM87501", "telephone": "", "date": "06/12/2014", "time": "7:25PM", "subtotal": "63.50", "tax": "5.16", "total": "68.66 68.66", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Cabrales", "item_value": "-3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TortillaEspanola", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PortabellasenJerez", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GambasalAjillo", "item_value": "8.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Mejillones", "item_value": "8.75", "item_quantity": "1"}, {"item_key": "", "item_name": "JamonSerrano", "item_value": "8.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Flan", "item_value": "8.75", "item_quantity": "1"}, {"item_key": "", "item_name": "HigosyDatiles", "item_value": "8.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Platterfor2", "item_value": "8.75", "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, 44.0], [178.0, 46.0], [177.0, 59.0], [117.0, 57.0]], ('SCALINI', 0.9859285950660706)], [[[135.0, 38.0], [168.0, 38.0], [168.0, 49.0], [135.0, 49.0]], ('INVOICE', 0.9969407916069031)], [[[104.0, 63.0], [198.0, 65.0], [198.0, 76.0], [104.0, 74.0]], ('FOUR SEASONS JUMEIRAH', 0.9402999877929688)], [[[128.0, 56.0], [176.0, 56.0], [176.0, 66.0], [128.0, 66.0]], ('RESTAURANT', 0.9910861253738403)], [[[109.0, 82.0], [195.0, 84.0], [195.0, 96.0], [108.0, 93.0]], ('TRN#100072725300003', 0.9506013989448547)], [[[125.0, 74.0], [175.0, 74.0], [175.0, 85.0], [125.0, 85.0]], ('DUBAI UAE', 0.9221490025520325)], [[[68.0, 103.0], [127.0, 103.0], [127.0, 115.0], [68.0, 115.0]], ('1002Jonathan', 0.9905735850334167)], [[[61.0, 123.0], [97.0, 123.0], [97.0, 137.0], [61.0, 137.0]], ('Tb12/1', 0.97149258852005)], [[[132.0, 121.0], [176.0, 124.0], [175.0, 138.0], [131.0, 135.0]], ('Chk1317', 0.9684222340583801)], [[[115.0, 135.0], [192.0, 135.0], [192.0, 148.0], [115.0, 148.0]], ('Oct301809:54PM', 0.9286917448043823)], [[[214.0, 126.0], [245.0, 126.0], [245.0, 137.0], [214.0, 137.0]], ('Gst2', 0.9442623853683472)], [[[76.0, 155.0], [146.0, 157.0], [146.0, 171.0], [76.0, 169.0]], ('Dine In', 0.8671048879623413)], [[[65.0, 166.0], [138.0, 167.0], [138.0, 181.0], [65.0, 180.0]], ('1 Burrata Full', 0.9497407078742981)], [[[66.0, 178.0], [142.0, 180.0], [142.0, 191.0], [66.0, 189.0]], ('1 Vitell0 Tonne', 0.8276225328445435)], [[[204.0, 169.0], [233.0, 169.0], [233.0, 180.0], [204.0, 180.0]], ('125.00', 0.9961654543876648)], [[[204.0, 180.0], [234.0, 180.0], [234.0, 191.0], [204.0, 191.0]], ('100.00', 0.9921242594718933)], [[[67.0, 190.0], [156.0, 190.0], [156.0, 203.0], [67.0, 203.0]], ('1 Linguine Pescato', 0.9555228352546692)], [[[204.0, 191.0], [235.0, 191.0], [235.0, 202.0], [204.0, 202.0]], ('180.00', 0.9893648028373718)], [[[65.0, 201.0], [155.0, 201.0], [155.0, 214.0], [65.0, 214.0]], ('1 Papp Ragu Truff1', 0.9166237711906433)], [[[205.0, 201.0], [236.0, 201.0], [236.0, 215.0], [205.0, 215.0]], ('135.00', 0.9950688481330872)], [[[65.0, 211.0], [143.0, 214.0], [143.0, 228.0], [64.0, 225.0]], ('11 Scoop Lemon', 0.8790830373764038)], [[[210.0, 213.0], [237.0, 213.0], [237.0, 226.0], [210.0, 226.0]], ('15.00', 0.9952512979507446)], [[[65.0, 225.0], [146.0, 225.0], [146.0, 238.0], [65.0, 238.0]], ('1 Scalin1 Spritz', 0.8974930047988892)], [[[208.0, 224.0], [238.0, 224.0], [238.0, 238.0], [208.0, 238.0]], ('0006', 0.9619185924530029)], [[[65.0, 238.0], [118.0, 238.0], [118.0, 249.0], [65.0, 249.0]], ('1Itallano', 0.8766316175460815)], [[[209.0, 236.0], [239.0, 236.0], [239.0, 250.0], [209.0, 250.0]], ('60.00', 0.9912122488021851)], [[[64.0, 249.0], [157.0, 249.0], [157.0, 262.0], [64.0, 262.0]], ('1 Brunello Frescob', 0.8852078318595886)], [[[203.0, 249.0], [238.0, 249.0], [238.0, 260.0], [203.0, 260.0]], ('1450.00', 0.9943559765815735)], [[[64.0, 262.0], [131.0, 262.0], [131.0, 273.0], [64.0, 273.0]], ('1Still Water', 0.8780273795127869)], [[[210.0, 260.0], [240.0, 260.0], [240.0, 274.0], [210.0, 274.0]], ('22.00', 0.989460825920105)], [[[73.0, 286.0], [115.0, 286.0], [115.0, 300.0], [73.0, 300.0]], ('Subtotal', 0.9951959848403931)], [[[204.0, 286.0], [240.0, 286.0], [240.0, 297.0], [204.0, 297.0]], ('2177.00', 0.9934075474739075)], [[[72.0, 296.0], [109.0, 299.0], [108.0, 314.0], [71.0, 311.0]], ('VAT 5%', 0.8726463317871094)], [[[208.0, 298.0], [243.0, 298.0], [243.0, 312.0], [208.0, 312.0]], ('108.85', 0.9877766966819763)], [[[72.0, 314.0], [120.0, 314.0], [120.0, 325.0], [72.0, 325.0]], ('Munci Fee', 0.9447163343429565)], [[[209.0, 311.0], [243.0, 311.0], [243.0, 325.0], [209.0, 325.0]], ('138.54', 0.9901042580604553)], [[[51.0, 326.0], [147.0, 326.0], [147.0, 340.0], [51.0, 340.0]], ('12:01AM Amount Due', 0.9118014574050903)], [[[168.0, 325.0], [243.0, 323.0], [243.0, 337.0], [168.0, 339.0]], ('2424.39', 0.9490371942520142)], [[[103.0, 353.0], [199.0, 353.0], [199.0, 367.0], [103.0, 367.0]], ('Thank You', 0.9391016364097595)], [[[95.0, 367.0], [207.0, 366.0], [207.0, 380.0], [95.0, 381.0]], ('GRAZIE E ARRIVEDERCI!', 0.9609513282775879)]]
{"store_name": "SCALINI RESTAURANT", "store_addr": "FOURSEASONSJUMEIRAH DUBAIUAE", "telephone": "", "date": "Oct30'18", "time": "12:01AMA", "subtotal": "2177.00", "tax": "108.85", "total": "2424.39", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BurrataFull", "item_value": "125.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VitelloTonne", "item_value": "100.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LinguinePescato", "item_value": "180.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PappRaguTruff1", "item_value": "135.00", "item_quantity": "1"}, {"item_key": "", "item_name": "1ScoopLemon", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ScaliniSpritz", "item_value": "90.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Itallano", "item_value": "60.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BrunelloFrescob", "item_value": "1450.00", "item_quantity": "1"}, {"item_key": "", "item_name": "StillWater", "item_value": "22.00", "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
[[[[99.0, 55.0], [224.0, 53.0], [224.0, 66.0], [99.0, 68.0]], ('THE WINE HOUSE', 0.9504554867744446)], [[[98.0, 68.0], [224.0, 68.0], [224.0, 81.0], [98.0, 81.0]], ('1408 WASHINGTON ST', 0.9278457164764404)], [[[95.0, 80.0], [226.0, 79.0], [226.0, 93.0], [95.0, 94.0]], ('VICKSBURGMS 39180', 0.9659906029701233)], [[[124.0, 93.0], [197.0, 92.0], [197.0, 106.0], [124.0, 108.0]], ('6016427151', 0.9528058171272278)], [[[114.0, 115.0], [209.0, 112.0], [209.0, 132.0], [115.0, 135.0]], ('ORDER:B2', 0.9477471709251404)], [[[132.0, 138.0], [193.0, 138.0], [193.0, 156.0], [132.0, 156.0]], ('Dine In', 0.9181988835334778)], [[[35.0, 161.0], [148.0, 159.0], [148.0, 173.0], [36.0, 175.0]], ('Cashier:Jonathan A', 0.9576850533485413)], [[[36.0, 174.0], [157.0, 173.0], [158.0, 187.0], [37.0, 188.0]], ('10-Jul-20176:47:34P', 0.9354707598686218)], [[[38.0, 195.0], [149.0, 193.0], [149.0, 207.0], [39.0, 209.0]], ('Transaction 004683', 0.9666617512702942)], [[[37.0, 210.0], [82.0, 208.0], [83.0, 222.0], [38.0, 224.0]], ('Guest1', 0.9790706634521484)], [[[38.0, 223.0], [140.0, 223.0], [140.0, 236.0], [38.0, 236.0]], ('1Chicken Pasta', 0.9418497085571289)], [[[248.0, 220.0], [291.0, 220.0], [291.0, 234.0], [248.0, 234.0]], ('$15.00', 0.9967195987701416)], [[[40.0, 238.0], [60.0, 238.0], [60.0, 249.0], [40.0, 249.0]], ('1', 0.5763780474662781)], [[[61.0, 238.0], [153.0, 238.0], [153.0, 248.0], [61.0, 248.0]], ('Woodwork Glass', 0.9711789488792419)], [[[254.0, 234.0], [291.0, 234.0], [291.0, 249.0], [254.0, 249.0]], ('$9.00', 0.9960273504257202)], [[[42.0, 252.0], [52.0, 252.0], [52.0, 261.0], [42.0, 261.0]], ('1', 0.892328679561615)], [[[60.0, 250.0], [96.0, 250.0], [96.0, 264.0], [60.0, 264.0]], ('Stella', 0.9940428733825684)], [[[254.0, 249.0], [291.0, 249.0], [291.0, 263.0], [254.0, 263.0]], ('$3.70', 0.9961239695549011)], [[[44.0, 275.0], [92.0, 275.0], [92.0, 289.0], [44.0, 289.0]], ('Subtotal', 0.9968022108078003)], [[[248.0, 276.0], [290.0, 276.0], [290.0, 290.0], [248.0, 290.0]], ('$27.70', 0.9935764670372009)], [[[46.0, 290.0], [66.0, 290.0], [66.0, 302.0], [46.0, 302.0]], ('Tax', 0.9970383644104004)], [[[253.0, 288.0], [290.0, 291.0], [289.0, 306.0], [252.0, 303.0]], ('$2.22', 0.991855800151825)], [[[47.0, 313.0], [77.0, 313.0], [77.0, 328.0], [47.0, 328.0]], ('Total', 0.996284008026123)], [[[247.0, 314.0], [289.0, 317.0], [288.0, 332.0], [247.0, 329.0]], ('$29.92', 0.9964954853057861)], [[[48.0, 330.0], [154.0, 333.0], [153.0, 347.0], [48.0, 344.0]], ('CREDIT CARD AUTH', 0.9451735615730286)], [[[248.0, 334.0], [288.0, 334.0], [288.0, 350.0], [248.0, 350.0]], ('$29.92', 0.9949061274528503)], [[[50.0, 346.0], [104.0, 346.0], [104.0, 357.0], [50.0, 357.0]], ('VISA8768', 0.9909663200378418)], [[[51.0, 366.0], [74.0, 369.0], [72.0, 384.0], [49.0, 381.0]], ('Tip', 0.9847684502601624)], [[[233.0, 379.0], [289.0, 379.0], [289.0, 405.0], [233.0, 405.0]], ('33.9', 0.9763153791427612)], [[[56.0, 391.0], [82.0, 391.0], [82.0, 402.0], [56.0, 402.0]], ('Total', 0.9926377534866333)], [[[69.0, 405.0], [271.0, 415.0], [270.0, 432.0], [68.0, 422.0]], ('Retain this copy for statement validation', 0.9223763942718506)], [[[61.0, 430.0], [144.0, 430.0], [144.0, 443.0], [61.0, 443.0]], ('Station Station1', 0.9305384159088135)]]
{"store_name": "THEWINEHOUSE", "store_addr": "VICKSBURG.MS39180 1408WASHINGTONST", "telephone": "6016427151", "date": "10-Jul-2017", "time": "6:47:34P", "subtotal": "$27.70", "tax": "$2.22", "total": "$29.92 $29.92", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Stella", "item_value": "$3.70", "item_quantity": "1"}, {"item_key": "", "item_name": "WoodworkGlass", "item_value": "$9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenPasta", "item_value": "$15.00", "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
[[[[255.0, 183.0], [526.0, 176.0], [527.0, 201.0], [256.0, 208.0]], ('RESTAURANT', 0.9976449012756348)], [[[254.0, 208.0], [530.0, 201.0], [530.0, 227.0], [255.0, 234.0]], ('PICCADILLY', 0.9962089657783508)], [[[198.0, 235.0], [587.0, 227.0], [587.0, 252.0], [199.0, 259.0]], ('BANGKOK MASALA', 0.9814547300338745)], [[[282.0, 311.0], [506.0, 306.0], [506.0, 333.0], [283.0, 337.0]], ('TABLE:b3', 0.9281238317489624)], [[[552.0, 329.0], [616.0, 326.0], [618.0, 358.0], [553.0, 361.0]], ('JOHN', 0.9972719550132751)], [[[83.0, 341.0], [156.0, 341.0], [156.0, 369.0], [83.0, 369.0]], ('Pax:1', 0.9199597239494324)], [[[267.0, 339.0], [440.0, 337.0], [441.0, 363.0], [268.0, 365.0]], ('OP:cashier 2', 0.9083075523376465)], [[[83.0, 371.0], [312.0, 366.0], [312.0, 391.0], [83.0, 397.0]], ('POS Title:POs003', 0.8619430065155029)], [[[458.0, 389.0], [689.0, 380.0], [690.0, 409.0], [459.0, 417.0]], ('10/04/2010 13:16', 0.9616191387176514)], [[[83.0, 400.0], [338.0, 393.0], [338.0, 419.0], [83.0, 426.0]], ('Rcpt#:A10000054364', 0.9783652424812317)], [[[589.0, 437.0], [696.0, 437.0], [696.0, 468.0], [589.0, 468.0]], ('RM2.00', 0.9948039650917053)], [[[111.0, 453.0], [383.0, 448.0], [383.0, 473.0], [112.0, 479.0]], ('1 C HONEY SOUR PLUM', 0.8942669034004211)], [[[590.0, 468.0], [697.0, 464.0], [699.0, 494.0], [591.0, 497.0]], ('RM2.30', 0.995053231716156)], [[[133.0, 481.0], [268.0, 479.0], [269.0, 504.0], [133.0, 507.0]], ('DIET COKE', 0.9349079132080078)], [[[593.0, 497.0], [700.0, 494.0], [701.0, 520.0], [594.0, 524.0]], ('RM8.80', 0.9941446781158447)], [[[134.0, 510.0], [385.0, 505.0], [385.0, 531.0], [135.0, 536.0]], ('GRILLED CHIC CHOP', 0.9490497708320618)], [[[593.0, 525.0], [703.0, 521.0], [704.0, 551.0], [594.0, 555.0]], ('RM4.50', 0.9941202998161316)], [[[132.0, 539.0], [415.0, 534.0], [416.0, 559.0], [132.0, 563.0]], ('MUSHROOM BRUSCHETTA', 0.9726226329803467)], [[[595.0, 554.0], [705.0, 550.0], [706.0, 581.0], [596.0, 585.0]], ('RM5.90', 0.9954018592834473)], [[[127.0, 569.0], [369.0, 563.0], [370.0, 589.0], [128.0, 594.0]], ('SEAFOOD FRD RICE', 0.9479967355728149)], [[[583.0, 614.0], [707.0, 610.0], [708.0, 640.0], [584.0, 643.0]], ('RM.23.50', 0.9625357389450073)], [[[135.0, 625.0], [249.0, 625.0], [249.0, 652.0], [135.0, 652.0]], ('SUBTOTAL', 0.99720299243927)], [[[600.0, 646.0], [709.0, 641.0], [711.0, 672.0], [601.0, 677.0]], ('RM2.35', 0.9952297210693359)], [[[137.0, 656.0], [400.0, 654.0], [400.0, 684.0], [138.0, 686.0]], ('10% service charge', 0.9613326191902161)], [[[134.0, 714.0], [277.0, 714.0], [277.0, 747.0], [134.0, 747.0]], ('TOTAL', 0.9987934231758118)], [[[462.0, 711.0], [711.0, 704.0], [712.0, 737.0], [463.0, 744.0]], ('RM25.85', 0.9867233633995056)], [[[130.0, 774.0], [194.0, 774.0], [194.0, 806.0], [130.0, 806.0]], ('CASH', 0.9980635643005371)], [[[591.0, 771.0], [716.0, 764.0], [717.0, 795.0], [592.0, 801.0]], ('RM30.00', 0.9950113296508789)], [[[130.0, 806.0], [222.0, 811.0], [220.0, 842.0], [128.0, 837.0]], ('Change', 0.9984524846076965)], [[[606.0, 803.0], [717.0, 797.0], [718.0, 827.0], [608.0, 832.0]], ('RM4.15', 0.990752637386322)], [[[313.0, 900.0], [481.0, 898.0], [481.0, 925.0], [313.0, 927.0]], ('Closed Bill', 0.9545207619667053)], [[[245.0, 932.0], [503.0, 929.0], [503.0, 955.0], [246.0, 958.0]], ('10/04/201014:13', 0.9851261377334595)], [[[239.0, 990.0], [547.0, 983.0], [548.0, 1012.0], [239.0, 1019.0]], ('Tel:03 -7955 3655', 0.8749030828475952)]]
{"store_name": "RESTAURANT PICCADILLY BANGKOKMASALA", "store_addr": "", "telephone": "03-79553655", "date": "10/04/2010 10/04/2010", "time": "14:13", "subtotal": "RM23.50", "tax": "", "total": "RM25.85", "ignore": "", "tips": "RM2.35", "line_items": [{"item_key": "", "item_name": "CHONEYSOURPLUM", "item_value": "RM2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DIETCOKE", "item_value": "RM2.30", "item_quantity": "1"}, {"item_key": "", "item_name": "GRILLEDCHICCHOP", "item_value": "RM8.80", "item_quantity": "1"}, {"item_key": "", "item_name": "MUSHROOMBRUSCHETTA", "item_value": "RM4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SEAFOODFRDRICE", "item_value": "RM5.90", "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
[[[[79.0, 2.0], [160.0, 0.0], [161.0, 13.0], [79.0, 16.0]], ('4/4/2012733AM', 0.9162017107009888)], [[[207.0, 2.0], [243.0, 0.0], [245.0, 12.0], [209.0, 16.0]], ('Sales', 0.9846075773239136)], [[[78.0, 15.0], [120.0, 12.0], [121.0, 26.0], [78.0, 29.0]], ('Store.1', 0.8772500157356262)], [[[160.0, 22.0], [239.0, 23.0], [238.0, 37.0], [160.0, 36.0]], ('G.W.P.LLC', 0.9813758134841919)], [[[105.0, 72.0], [296.0, 66.0], [297.0, 80.0], [106.0, 86.0]], ('JUST SOUTH OF THE WATER TOWER', 0.9217842221260071)], [[[136.0, 82.0], [257.0, 79.0], [257.0, 92.0], [136.0, 96.0]], ('120CERTIFIEDSCALE', 0.9061048030853271)], [[[71.0, 105.0], [163.0, 105.0], [163.0, 118.0], [71.0, 118.0]], ('Cashier Sysadmin', 0.9430020451545715)], [[[68.0, 127.0], [89.0, 127.0], [89.0, 142.0], [68.0, 142.0]], ('Qty', 0.8533215522766113)], [[[97.0, 127.0], [166.0, 127.0], [166.0, 139.0], [97.0, 139.0]], ('Description 1', 0.9408706426620483)], [[[304.0, 122.0], [336.0, 122.0], [336.0, 137.0], [304.0, 137.0]], ('Price', 0.9921719431877136)], [[[68.0, 144.0], [77.0, 144.0], [77.0, 156.0], [68.0, 156.0]], ('1', 0.9876318573951721)], [[[94.0, 143.0], [260.0, 139.0], [260.0, 153.0], [94.0, 157.0]], ('Penis Butter Snickers', 0.9791261553764343)], [[[292.0, 139.0], [336.0, 139.0], [336.0, 154.0], [292.0, 154.0]], ('$0.99', 0.9985410571098328)], [[[65.0, 162.0], [74.0, 162.0], [74.0, 174.0], [65.0, 174.0]], ('1', 0.9655885100364685)], [[[91.0, 158.0], [138.0, 161.0], [137.0, 179.0], [90.0, 176.0]], ('Pepsi', 0.9959875345230103)], [[[293.0, 158.0], [338.0, 158.0], [338.0, 174.0], [293.0, 174.0]], ('$1.89', 0.9986699223518372)], [[[222.0, 203.0], [272.0, 206.0], [272.0, 221.0], [222.0, 219.0]], ('Subtotal:', 0.959624171257019)], [[[308.0, 206.0], [345.0, 206.0], [345.0, 220.0], [308.0, 220.0]], ('$2.88', 0.9935935735702515)], [[[85.0, 221.0], [169.0, 220.0], [170.0, 234.0], [85.0, 235.0]], ('LocalSales Tax', 0.9434062242507935)], [[[213.0, 219.0], [272.0, 221.0], [272.0, 237.0], [213.0, 234.0]], ('7.9%Tax', 0.9686445593833923)], [[[300.0, 221.0], [347.0, 221.0], [347.0, 236.0], [300.0, 236.0]], ('+$0.15', 0.9448755383491516)], [[[168.0, 235.0], [273.0, 239.0], [273.0, 253.0], [167.0, 250.0]], ('RECEIPT TOTAL:', 0.9514117240905762)], [[[311.0, 238.0], [349.0, 238.0], [349.0, 253.0], [311.0, 253.0]], ('$3.03', 0.9979159235954285)], [[[72.0, 264.0], [240.0, 267.0], [239.0, 282.0], [72.0, 278.0]], ('Debit CardS3.03XXXX7941', 0.9104413390159607)], [[[58.0, 280.0], [96.0, 280.0], [96.0, 294.0], [58.0, 294.0]], ('DEBIT', 0.9971135258674622)]]
{"store_name": "G.W.P.LLC", "store_addr": "120'CERTIFIEDSCALE JUSTSOUTHOFTHEWATERTOWER INTERSTATE90EXIT149 GEORGEWA98824(509)7853505 300WASHINGTONWAY", "telephone": "", "date": "4/4/20127:33AM", "time": "", "subtotal": "$2.88", "tax": "$0.15", "total": "$3.03 $3.03", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Pepsi", "item_value": "$1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "PenisButterSnickers", "item_value": "$0.99", "item_quantity": "1"}, {"item_key": "Descrlptlon1", "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
[[[[512.0, 271.0], [786.0, 271.0], [786.0, 306.0], [512.0, 306.0]], ('LOREM SHOP', 0.9485573768615723)], [[[369.0, 397.0], [746.0, 397.0], [746.0, 431.0], [369.0, 431.0]], ('1:0275Ut wisi enim', 0.9691647291183472)], [[[843.0, 397.0], [927.0, 397.0], [927.0, 434.0], [843.0, 434.0]], ('2.99', 0.9993600845336914)], [[[371.0, 455.0], [499.0, 455.0], [499.0, 489.0], [371.0, 489.0]], ('2:1227', 0.9604775309562683)], [[[538.0, 456.0], [775.0, 456.0], [775.0, 486.0], [538.0, 486.0]], ('Nibh euismod', 0.9712331295013428)], [[[850.0, 455.0], [927.0, 455.0], [927.0, 492.0], [850.0, 492.0]], ('1.30', 0.997545599937439)], [[[373.0, 514.0], [506.0, 514.0], [506.0, 544.0], [373.0, 544.0]], ('3:0942', 0.9636173844337463)], [[[537.0, 514.0], [741.0, 514.0], [741.0, 549.0], [537.0, 549.0]], ('Rdol magna', 0.9746922254562378)], [[[856.0, 510.0], [927.0, 510.0], [927.0, 549.0], [856.0, 549.0]], ('17.0', 0.9976052641868591)], [[[371.0, 569.0], [506.0, 569.0], [506.0, 604.0], [371.0, 604.0]], ('4:0257', 0.9545738101005554)], [[[538.0, 569.0], [762.0, 569.0], [762.0, 604.0], [538.0, 604.0]], ('Mnonuy nibh', 0.9832025170326233)], [[[843.0, 568.0], [927.0, 568.0], [927.0, 605.0], [843.0, 605.0]], ('6.99', 0.999392032623291)], [[[373.0, 626.0], [501.0, 626.0], [501.0, 660.0], [373.0, 660.0]], ('5:1693', 0.9676259160041809)], [[[540.0, 628.0], [792.0, 628.0], [792.0, 659.0], [540.0, 659.0]], ('Kaoreet dolore', 0.9862576723098755)], [[[873.0, 624.0], [927.0, 624.0], [927.0, 660.0], [873.0, 660.0]], ('1.2', 0.9960371851921082)], [[[373.0, 682.0], [508.0, 682.0], [508.0, 717.0], [373.0, 717.0]], ('6:9463', 0.9437639117240906)], [[[535.0, 683.0], [772.0, 683.0], [772.0, 718.0], [535.0, 718.0]], ('Taliquam erat', 0.9699805974960327)], [[[855.0, 681.0], [927.0, 681.0], [927.0, 718.0], [855.0, 718.0]], ('5.10', 0.9961187243461609)], [[[373.0, 741.0], [509.0, 741.0], [509.0, 772.0], [373.0, 772.0]], ('7:0059', 0.9560866951942444)], [[[535.0, 741.0], [711.0, 741.0], [711.0, 772.0], [535.0, 772.0]], ('Aeuismod', 0.9984666109085083)], [[[852.0, 737.0], [927.0, 737.0], [927.0, 775.0], [852.0, 775.0]], ('10.0', 0.9957120418548584)], [[[374.0, 798.0], [511.0, 798.0], [511.0, 828.0], [374.0, 828.0]], ('8:3556', 0.964587390422821)], [[[532.0, 799.0], [730.0, 799.0], [730.0, 830.0], [532.0, 830.0]], ('Knonuy nib', 0.9832978248596191)], [[[844.0, 793.0], [927.0, 793.0], [927.0, 831.0], [844.0, 831.0]], ('4.99', 0.998881995677948)], [[[392.0, 900.0], [569.0, 904.0], [568.0, 940.0], [392.0, 937.0]], ('Discount', 0.9992361068725586)], [[[781.0, 895.0], [901.0, 895.0], [901.0, 941.0], [781.0, 941.0]], ('$5.99', 0.9998014569282532)], [[[390.0, 969.0], [569.0, 969.0], [569.0, 1014.0], [390.0, 1014.0]], ('TOTAL', 0.9962509870529175)], [[[708.0, 966.0], [900.0, 966.0], [900.0, 1016.0], [708.0, 1016.0]], ('$34.50', 0.9997242093086243)], [[[94.0, 1309.0], [255.0, 1310.0], [255.0, 1335.0], [94.0, 1333.0]], ('Download from', 0.9562385082244873)], [[[1133.0, 1318.0], [1164.0, 1318.0], [1164.0, 1335.0], [1133.0, 1335.0]], ('ID', 0.9748731851577759)], [[[1156.0, 1316.0], [1226.0, 1316.0], [1226.0, 1336.0], [1156.0, 1336.0]], ('89902933', 0.9950980544090271)], [[[96.0, 1339.0], [286.0, 1339.0], [286.0, 1360.0], [96.0, 1360.0]], ('Dreamstime.com', 0.9978286623954773)], [[[1149.0, 1352.0], [1280.0, 1352.0], [1280.0, 1371.0], [1149.0, 1371.0]], ('Dreamstime.com', 0.9684980511665344)]]
{"store_name": "LOREMSHOP", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "$34.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Utwisienim", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Nibheuismod", "item_value": "10.0", "item_quantity": "1"}, {"item_key": "", "item_name": "Rdolmagna", "item_value": "5.10", "item_quantity": "1"}, {"item_key": "", "item_name": "Mnonuynibh", "item_value": "1.2", "item_quantity": "1"}, {"item_key": "", "item_name": "Kaoreetdolore", "item_value": "6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Taliquamerat", "item_value": "17.0", "item_quantity": "1"}, {"item_key": "", "item_name": "Aeuismod", "item_value": "1.30", "item_quantity": "1"}, {"item_key": "", "item_name": "Knonuynib", "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
[[[[143.0, 31.0], [172.0, 59.0], [59.0, 177.0], [30.0, 150.0]], ('Q|23RF', 0.9051210880279541)], [[[288.0, 112.0], [1007.0, 112.0], [1007.0, 162.0], [288.0, 162.0]], ('PRINTED RECEIPT', 0.9623495936393738)], [[[505.0, 194.0], [795.0, 194.0], [795.0, 222.0], [505.0, 222.0]], ('Vector Background', 0.9772061705589294)], [[[288.0, 451.0], [435.0, 451.0], [435.0, 483.0], [288.0, 483.0]], ('LOREMSHOP', 0.9925878047943115)], [[[179.0, 538.0], [511.0, 538.0], [511.0, 557.0], [179.0, 557.0]], ('LOREMIPSUMDOLORSIT AMET.CON', 0.9368820190429688)], [[[177.0, 573.0], [337.0, 573.0], [337.0, 596.0], [177.0, 596.0]], ('SECTETUER ADIPI', 0.9763039350509644)], [[[179.0, 646.0], [345.0, 646.0], [345.0, 673.0], [179.0, 673.0]], ('1:UT WISI ENIM', 0.9137634038925171)], [[[486.0, 645.0], [547.0, 645.0], [547.0, 674.0], [486.0, 674.0]], ('$2.99', 0.9991878271102905)], [[[180.0, 687.0], [199.0, 687.0], [199.0, 707.0], [180.0, 707.0]], ('2:', 0.9282145500183105)], [[[215.0, 685.0], [352.0, 685.0], [352.0, 708.0], [215.0, 708.0]], ('NIBH EUISMOD', 0.9703359603881836)], [[[488.0, 681.0], [547.0, 681.0], [547.0, 711.0], [488.0, 711.0]], ('$1.30', 0.9959675073623657)], [[[180.0, 723.0], [199.0, 723.0], [199.0, 743.0], [180.0, 743.0]], ('3:', 0.94718337059021)], [[[219.0, 722.0], [343.0, 722.0], [343.0, 745.0], [219.0, 745.0]], ('RDOL MAGNA', 0.9349998235702515)], [[[489.0, 719.0], [547.0, 719.0], [547.0, 749.0], [489.0, 749.0]], ('$17.0', 0.9969435930252075)], [[[180.0, 761.0], [199.0, 761.0], [199.0, 783.0], [180.0, 783.0]], ('4:', 0.942845344543457)], [[[218.0, 758.0], [349.0, 758.0], [349.0, 781.0], [218.0, 781.0]], ('MNONUY NIBH', 0.9456796050071716)], [[[489.0, 758.0], [546.0, 758.0], [546.0, 784.0], [489.0, 784.0]], ('$6.99', 0.9982298016548157)], [[[112.0, 801.0], [135.0, 822.0], [57.0, 905.0], [34.0, 884.0]], ('IE21O', 0.5661079287528992)], [[[180.0, 796.0], [199.0, 796.0], [199.0, 819.0], [180.0, 819.0]], ('5:', 0.9003651142120361)], [[[221.0, 799.0], [382.0, 799.0], [382.0, 818.0], [221.0, 818.0]], ('KAOREETDOLORE', 0.9941011667251587)], [[[500.0, 792.0], [547.0, 792.0], [547.0, 823.0], [500.0, 823.0]], ('$1.2', 0.9458058476448059)], [[[180.0, 831.0], [203.0, 839.0], [196.0, 860.0], [173.0, 853.0]], ('6:', 0.7224318385124207)], [[[219.0, 833.0], [367.0, 833.0], [367.0, 856.0], [219.0, 856.0]], ('TALIQUAM ERAT', 0.9420951008796692)], [[[489.0, 830.0], [547.0, 830.0], [547.0, 860.0], [489.0, 860.0]], ('$5.10', 0.9944284558296204)], [[[174.0, 873.0], [198.0, 868.0], [203.0, 893.0], [180.0, 898.0]], ('7:', 0.7453140616416931)], [[[219.0, 872.0], [318.0, 872.0], [318.0, 895.0], [219.0, 895.0]], ('AEUISMOD', 0.9956971406936646)], [[[488.0, 867.0], [547.0, 867.0], [547.0, 898.0], [488.0, 898.0]], ('$10.0', 0.9961684942245483)], [[[763.0, 882.0], [880.0, 765.0], [909.0, 794.0], [792.0, 911.0]], ('|23RF', 0.8833324313163757)], [[[176.0, 910.0], [196.0, 906.0], [200.0, 929.0], [181.0, 933.0]], ('8:', 0.7850592136383057)], [[[219.0, 909.0], [334.0, 909.0], [334.0, 932.0], [219.0, 932.0]], ('KNONUY NIB', 0.9437350034713745)], [[[486.0, 903.0], [548.0, 906.0], [546.0, 938.0], [484.0, 934.0]], ('$4.99', 0.9982922673225403)], [[[177.0, 976.0], [275.0, 976.0], [275.0, 1006.0], [177.0, 1006.0]], ('DISCOUNT', 0.9963880777359009)], [[[485.0, 975.0], [546.0, 975.0], [546.0, 1006.0], [485.0, 1006.0]], ('$5.99', 0.9983951449394226)], [[[176.0, 1021.0], [259.0, 1021.0], [259.0, 1056.0], [176.0, 1056.0]], ('TOTAL', 0.9986297488212585)], [[[451.0, 1022.0], [544.0, 1022.0], [544.0, 1058.0], [451.0, 1058.0]], ('$34.50', 0.9990400671958923)], [[[294.0, 1101.0], [432.0, 1101.0], [432.0, 1133.0], [294.0, 1133.0]], ('THANK YOU!', 0.9481620788574219)]]
{"store_name": "LOREMSHOP", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "$34.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "UTWISIENIM", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "NIBHEUISMOD", "item_value": "$10.0", "item_quantity": "1"}, {"item_key": "", "item_name": "RDOLMAGNA", "item_value": "$5.10", "item_quantity": "1"}, {"item_key": "", "item_name": "MNONUYNIBH", "item_value": "$1.2", "item_quantity": "1"}, {"item_key": "", "item_name": "KAOREETDOLORE", "item_value": "$6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "TALIQUAMERAT", "item_value": "$17.0", "item_quantity": "1"}, {"item_key": "", "item_name": "AEUISMOD", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KNONUYNIB", "item_value": "$1.30", "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
[[[[99.0, 90.0], [162.0, 90.0], [162.0, 107.0], [99.0, 107.0]], ('LOREM SHOP', 0.9453516006469727)], [[[53.0, 124.0], [194.0, 124.0], [194.0, 137.0], [53.0, 137.0]], ('LOREM IPSUM DOLOR SIT AMET.CON', 0.9153339862823486)], [[[52.0, 139.0], [122.0, 139.0], [122.0, 153.0], [52.0, 153.0]], ('SECTETUER ADIPI', 0.9702280759811401)], [[[54.0, 171.0], [124.0, 171.0], [124.0, 182.0], [54.0, 182.0]], ('1:UT WISIENIM', 0.9329510927200317)], [[[180.0, 169.0], [207.0, 169.0], [207.0, 184.0], [180.0, 184.0]], ('$2.99', 0.9955416917800903)], [[[53.0, 185.0], [129.0, 185.0], [129.0, 199.0], [53.0, 199.0]], ('2NIBH EUISMOD', 0.9258330464363098)], [[[181.0, 185.0], [207.0, 185.0], [207.0, 200.0], [181.0, 200.0]], ('$1.30', 0.9929668307304382)], [[[53.0, 199.0], [127.0, 201.0], [126.0, 216.0], [52.0, 213.0]], ('3:RDOL MAGNA', 0.8835670948028564)], [[[137.0, 209.0], [347.0, 206.0], [348.0, 244.0], [138.0, 246.0]], ('uterstsck', 0.9760750532150269)], [[[173.0, 201.0], [206.0, 201.0], [206.0, 215.0], [173.0, 215.0]], ('$17.0', 0.9339454770088196)], [[[53.0, 216.0], [136.0, 216.0], [136.0, 229.0], [53.0, 229.0]], ('4:MNONUYNBH', 0.8798379898071289)], [[[54.0, 232.0], [74.0, 232.0], [74.0, 244.0], [54.0, 244.0]], ('5:', 0.7601380944252014)], [[[70.0, 232.0], [141.0, 232.0], [141.0, 243.0], [70.0, 243.0]], ('KAOREET DOLORE', 0.9336706399917603)], [[[53.0, 247.0], [135.0, 247.0], [135.0, 260.0], [53.0, 260.0]], ('6:TALIQUAM ERAT', 0.9051935076713562)], [[[180.0, 243.0], [207.0, 246.0], [206.0, 262.0], [178.0, 259.0]], ('$5.10', 0.9811437726020813)], [[[53.0, 259.0], [114.0, 262.0], [113.0, 276.0], [52.0, 274.0]], ('7AEUISMOD', 0.9489479064941406)], [[[181.0, 261.0], [207.0, 261.0], [207.0, 276.0], [181.0, 276.0]], ('$10.0', 0.9912945032119751)], [[[52.0, 277.0], [121.0, 277.0], [121.0, 291.0], [52.0, 291.0]], ('BIN ANNON 8', 0.7548101544380188)], [[[180.0, 276.0], [207.0, 276.0], [207.0, 291.0], [180.0, 291.0]], ('$4.99', 0.9929744601249695)], [[[53.0, 306.0], [96.0, 306.0], [96.0, 320.0], [53.0, 320.0]], ('DISCOUNT', 0.9947640299797058)], [[[179.0, 305.0], [206.0, 305.0], [206.0, 320.0], [179.0, 320.0]], ('$5.99', 0.9932771921157837)], [[[53.0, 323.0], [89.0, 323.0], [89.0, 342.0], [53.0, 342.0]], ('TOTAL', 0.9983992576599121)], [[[164.0, 323.0], [207.0, 323.0], [207.0, 342.0], [164.0, 342.0]], ('$34.50', 0.9965159296989441)], [[[100.0, 356.0], [161.0, 356.0], [161.0, 373.0], [100.0, 373.0]], ('THANK YOU!', 0.9375885725021362)], [[[104.0, 452.0], [342.0, 451.0], [343.0, 465.0], [105.0, 466.0]], ('www.shutterstock.com.614953631', 0.9762723445892334)]]
{"store_name": "LOREMSHOP", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "$34.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "1:UTWISIENIM", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "8:KNONUYNIB", "item_value": "$1.30", "item_quantity": "1"}, {"item_key": "", "item_name": "7:AEUISMOD", "item_value": "$17.0", "item_quantity": "1"}, {"item_key": "", "item_name": "6:TALIQUAMERAT", "item_value": "$6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "5:KAOREETDOLORE", "item_value": "$1.2", "item_quantity": "1"}, {"item_key": "", "item_name": "4:MNONUYNIBH", "item_value": "$5.10", "item_quantity": "1"}, {"item_key": "", "item_name": "3:ROOLMAGNA", "item_value": "$10.0", "item_quantity": "1"}, {"item_key": "", "item_name": "2:NIBHEUISMOD", "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
[[[[745.0, 155.0], [849.0, 83.0], [871.0, 114.0], [766.0, 185.0]], ('alamy', 0.9983314275741577)], [[[161.0, 233.0], [559.0, 233.0], [559.0, 252.0], [161.0, 252.0]], ('**********************', 0.7824813723564148)], [[[280.0, 271.0], [450.0, 271.0], [450.0, 307.0], [280.0, 307.0]], ('LOREM SHOP', 0.9062220454216003)], [[[155.0, 324.0], [566.0, 324.0], [566.0, 345.0], [155.0, 345.0]], ('***********************', 0.8234189748764038)], [[[150.0, 365.0], [538.0, 366.0], [538.0, 395.0], [149.0, 394.0]], ('LOREM IPSUM DOLOR SIT AMET, CON', 0.9471467733383179)], [[[801.0, 375.0], [831.0, 375.0], [831.0, 405.0], [801.0, 405.0]], ('a', 0.9955917000770569)], [[[149.0, 410.0], [337.0, 410.0], [337.0, 439.0], [149.0, 439.0]], ('SECTETUER ADIPI', 0.9717387557029724)], [[[155.0, 497.0], [174.0, 497.0], [174.0, 524.0], [155.0, 524.0]], ('1', 0.9996424913406372)], [[[483.0, 494.0], [577.0, 494.0], [577.0, 526.0], [483.0, 526.0]], ('2.99X1', 0.9499527812004089)], [[[158.0, 540.0], [299.0, 540.0], [299.0, 566.0], [158.0, 566.0]], ('UT WISI ENIM', 0.9325993657112122)], [[[509.0, 537.0], [577.0, 537.0], [577.0, 570.0], [509.0, 570.0]], ('$2.99', 0.9988847970962524)], [[[895.0, 541.0], [997.0, 475.0], [1017.0, 505.0], [915.0, 572.0]], ('alamy', 0.9978065490722656)], [[[157.0, 582.0], [177.0, 582.0], [177.0, 612.0], [157.0, 612.0]], ('2', 0.8654835820198059)], [[[486.0, 582.0], [579.0, 582.0], [579.0, 612.0], [486.0, 612.0]], ('1.30X1', 0.9493663907051086)], [[[155.0, 626.0], [310.0, 626.0], [310.0, 656.0], [155.0, 656.0]], ('NIBH EUISMOD', 0.9685282111167908)], [[[511.0, 624.0], [577.0, 624.0], [577.0, 656.0], [511.0, 656.0]], ('$1.30', 0.9958704710006714)], [[[155.0, 669.0], [176.0, 669.0], [176.0, 699.0], [155.0, 699.0]], ('3', 0.9992745518684387)], [[[495.0, 667.0], [577.0, 667.0], [577.0, 699.0], [495.0, 699.0]], ('8.52', 0.9888298511505127)], [[[158.0, 714.0], [297.0, 714.0], [297.0, 740.0], [158.0, 740.0]], ('RDOL MAGNA', 0.9632441401481628)], [[[511.0, 709.0], [579.0, 709.0], [579.0, 743.0], [511.0, 743.0]], ('$17.0', 0.9963729977607727)], [[[157.0, 756.0], [176.0, 756.0], [176.0, 783.0], [157.0, 783.0]], ('4', 0.9991297125816345)], [[[511.0, 753.0], [577.0, 753.0], [577.0, 786.0], [511.0, 786.0]], ('1.3X3', 0.9886239767074585)], [[[157.0, 798.0], [309.0, 798.0], [309.0, 828.0], [157.0, 828.0]], ('MNONUY NIBH', 0.9569539427757263)], [[[509.0, 796.0], [577.0, 796.0], [577.0, 830.0], [509.0, 830.0]], ('$6.99', 0.998703122138977)], [[[155.0, 864.0], [566.0, 864.0], [566.0, 885.0], [155.0, 885.0]], ('***********************', 0.7951263785362244)], [[[148.0, 903.0], [247.0, 903.0], [247.0, 951.0], [148.0, 951.0]], ('TOTAL', 0.9984630346298218)], [[[464.0, 903.0], [577.0, 903.0], [577.0, 951.0], [464.0, 951.0]], ('$34.50', 0.9982702732086182)], [[[747.0, 931.0], [851.0, 859.0], [873.0, 890.0], [769.0, 963.0]], ('alamy', 0.9982718229293823)], [[[155.0, 964.0], [566.0, 964.0], [566.0, 983.0], [155.0, 983.0]], ('***********************', 0.7461399435997009)], [[[157.0, 1012.0], [399.0, 1012.0], [399.0, 1041.0], [157.0, 1041.0]], ('LOREM0036877#239', 0.9895608425140381)], [[[56.0, 1322.0], [97.0, 1327.0], [92.0, 1367.0], [51.0, 1361.0]], ('a', 0.9965614676475525)], [[[112.0, 1322.0], [509.0, 1322.0], [509.0, 1367.0], [112.0, 1367.0]], ('alamy stock photo', 0.9525371789932251)], [[[1177.0, 1325.0], [1246.0, 1325.0], [1246.0, 1345.0], [1177.0, 1345.0]], ('JAEMOA', 0.9962404370307922)], [[[1122.0, 1352.0], [1246.0, 1352.0], [1246.0, 1371.0], [1122.0, 1371.0]], ('www.alamy.com', 0.9970377683639526)]]
{"store_name": "LOREMSHOP", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "$34.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "UTWISIENIM", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "NIBHEUISMOD", "item_value": "$1.30", "item_quantity": "1"}, {"item_key": "", "item_name": "RDOLMAGNA", "item_value": "$17.0", "item_quantity": "1"}, {"item_key": "", "item_name": "MNONUYNIBH", "item_value": "$6.99", "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
[[[[122.0, 30.0], [194.0, 30.0], [194.0, 41.0], [122.0, 41.0]], ("Jante's Italian", 0.8370171785354614)], [[[105.0, 45.0], [215.0, 45.0], [215.0, 58.0], [105.0, 58.0]], ('8-13 Black Lion Street', 0.8736951947212219)], [[[138.0, 39.0], [182.0, 39.0], [182.0, 49.0], [138.0, 49.0]], ('Brighton', 0.9667114019393921)], [[[137.0, 61.0], [178.0, 61.0], [178.0, 75.0], [137.0, 75.0]], ('BN11ND', 0.9326689839363098)], [[[139.0, 55.0], [180.0, 55.0], [180.0, 66.0], [139.0, 66.0]], ('Brighton', 0.9694766998291016)], [[[108.0, 72.0], [212.0, 72.0], [212.0, 85.0], [108.0, 85.0]], ('VAT Reg:911 9131 49', 0.8849018216133118)], [[[59.0, 88.0], [115.0, 91.0], [115.0, 105.0], [58.0, 102.0]], ('14CRAIG', 0.9823884963989258)], [[[52.0, 109.0], [97.0, 109.0], [97.0, 124.0], [52.0, 124.0]], ('Tb148/1', 0.934046745300293)], [[[135.0, 110.0], [181.0, 110.0], [181.0, 125.0], [135.0, 125.0]], ('Chk3241', 0.9882537722587585)], [[[229.0, 110.0], [268.0, 106.0], [269.0, 121.0], [230.0, 125.0]], ('Gst 4', 0.8940883874893188)], [[[119.0, 120.0], [198.0, 122.0], [198.0, 136.0], [119.0, 135.0]], ('22Aug1620:02', 0.9427635073661804)], [[[57.0, 140.0], [116.0, 143.0], [116.0, 157.0], [56.0, 155.0]], ('1 Sunburst', 0.9388411641120911)], [[[227.0, 141.0], [254.0, 141.0], [254.0, 156.0], [227.0, 156.0]], ('6.25', 0.9897972345352173)], [[[56.0, 153.0], [138.0, 155.0], [138.0, 168.0], [56.0, 166.0]], ('1 Garlic Bread', 0.942602276802063)], [[[227.0, 153.0], [255.0, 153.0], [255.0, 167.0], [227.0, 167.0]], ('3.75', 0.9935740828514099)], [[[53.0, 163.0], [155.0, 167.0], [154.0, 181.0], [53.0, 177.0]], ('2 Bolognese Pasta', 0.9463227391242981)], [[[224.0, 164.0], [256.0, 164.0], [256.0, 178.0], [224.0, 178.0]], ('21.90', 0.9974168539047241)], [[[53.0, 176.0], [127.0, 178.0], [127.0, 191.0], [53.0, 189.0]], ('1The Porkie', 0.9604198336601257)], [[[225.0, 176.0], [256.0, 176.0], [256.0, 190.0], [225.0, 190.0]], ('12.95', 0.9970086812973022)], [[[62.0, 201.0], [95.0, 201.0], [95.0, 216.0], [62.0, 216.0]], ('Total', 0.9905400276184082)], [[[197.0, 202.0], [257.0, 200.0], [258.0, 214.0], [197.0, 216.0]], ('44.85', 0.9965859651565552)], [[[90.0, 225.0], [164.0, 227.0], [164.0, 242.0], [89.0, 240.0]], ('7.48 VAT TTL', 0.90274977684021)], [[[240.0, 226.0], [274.0, 226.0], [274.0, 241.0], [240.0, 241.0]], ('44.85', 0.9054085612297058)], [[[88.0, 243.0], [133.0, 243.0], [133.0, 254.0], [88.0, 254.0]], ('Net TTL', 0.9401921033859253)], [[[240.0, 241.0], [274.0, 241.0], [274.0, 255.0], [240.0, 255.0]], ('37.37', 0.994167685508728)], [[[59.0, 268.0], [256.0, 267.0], [256.0, 281.0], [59.0, 282.0]], ('Service Charge is not included', 0.9608185291290283)], [[[49.0, 282.0], [248.0, 280.0], [248.0, 297.0], [49.0, 299.0]], ('unless you are a group of 6 or', 0.9543133974075317)], [[[48.0, 298.0], [236.0, 296.0], [236.0, 310.0], [48.0, 312.0]], ('more where an optiona1 12.5%', 0.9159979224205017)], [[[44.0, 312.0], [230.0, 311.0], [230.0, 328.0], [44.0, 329.0]], ('will be added to your bill.', 0.9138455390930176)], [[[44.0, 331.0], [115.0, 328.0], [115.0, 345.0], [45.0, 348.0]], ('Thank you!', 0.9452306628227234)], [[[75.0, 348.0], [226.0, 345.0], [227.0, 362.0], [75.0, 364.0]], ('www.jamiesitalian.com', 0.9844548106193542)]]
{"store_name": "Janfe'sItallan", "store_addr": "Brigton 8-13BlackLionStreet Brighton BN1-IND", "telephone": "", "date": "22Aug'16", "time": "20:02", "subtotal": "37.37", "tax": "", "total": "44.85 44.85", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Sunburst", "item_value": "6.25", "item_quantity": "1"}, {"item_key": "", "item_name": "GarlicBread", "item_value": "3.75", "item_quantity": "1"}, {"item_key": "", "item_name": "BolognesePasta", "item_value": "21.90", "item_quantity": "1"}, {"item_key": "", "item_name": "ThePorkie", "item_value": "12.95", "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
[[[[188.0, 30.0], [286.0, 30.0], [286.0, 44.0], [188.0, 44.0]], ('INHADAY', 0.9542472958564758)], [[[128.0, 56.0], [346.0, 57.0], [345.0, 78.0], [128.0, 77.0]], ('JIN CHIENG SENG', 0.9444798231124878)], [[[130.0, 88.0], [232.0, 91.0], [232.0, 108.0], [129.0, 105.0]], ('Table NoIn3', 0.91376131772995)], [[[251.0, 92.0], [344.0, 92.0], [344.0, 106.0], [251.0, 106.0]], ('Customer:4', 0.9615679979324341)], [[[82.0, 110.0], [393.0, 116.0], [393.0, 133.0], [81.0, 127.0]], ('Sale-Date:02/01/2018 Pos:001 UsrManager', 0.9574128985404968)], [[[52.0, 154.0], [97.0, 157.0], [96.0, 175.0], [51.0, 172.0]], ('Detail', 0.9920692443847656)], [[[260.0, 159.0], [289.0, 162.0], [287.0, 182.0], [258.0, 179.0]], ('Qty', 0.9942701458930969)], [[[367.0, 161.0], [409.0, 164.0], [408.0, 182.0], [366.0, 179.0]], ('Price', 0.9982098340988159)], [[[51.0, 181.0], [160.0, 184.0], [159.0, 201.0], [50.0, 198.0]], ('DRAFT BEER*', 0.9434764385223389)], [[[273.0, 187.0], [287.0, 187.0], [287.0, 204.0], [273.0, 204.0]], ('1', 0.8725618720054626)], [[[362.0, 187.0], [409.0, 189.0], [408.0, 207.0], [361.0, 205.0]], ('95.00', 0.9969479441642761)], [[[48.0, 206.0], [176.0, 210.0], [175.0, 227.0], [47.0, 223.0]], ('PHAD KRATIEM*', 0.959090530872345)], [[[272.0, 213.0], [286.0, 213.0], [286.0, 230.0], [272.0, 230.0]], ('1', 0.8472603559494019)], [[[354.0, 214.0], [410.0, 216.0], [409.0, 234.0], [353.0, 232.0]], ('160.00', 0.9871773719787598)], [[[46.0, 232.0], [156.0, 235.0], [155.0, 252.0], [45.0, 249.0]], ('GAI PAD MED', 0.9187509417533875)], [[[272.0, 239.0], [286.0, 239.0], [286.0, 256.0], [272.0, 256.0]], ('1', 0.9555602073669434)], [[[354.0, 240.0], [411.0, 242.0], [410.0, 260.0], [353.0, 258.0]], ('180.00', 0.9960533976554871)], [[[43.0, 250.0], [137.0, 253.0], [136.0, 270.0], [42.0, 267.0]], ('MAMUANG*', 0.9923930764198303)], [[[42.0, 277.0], [185.0, 282.0], [184.0, 300.0], [41.0, 294.0]], ('PADTHAI GOONG', 0.9510373473167419)], [[[272.0, 286.0], [285.0, 286.0], [285.0, 303.0], [272.0, 303.0]], ('1', 0.7885534763336182)], [[[355.0, 287.0], [412.0, 291.0], [411.0, 310.0], [354.0, 306.0]], ('140.00', 0.9947274327278137)], [[[41.0, 303.0], [143.0, 308.0], [142.0, 326.0], [40.0, 321.0]], ('WHITE RICE*', 0.9632304906845093)], [[[272.0, 313.0], [284.0, 313.0], [284.0, 331.0], [272.0, 331.0]], ('1', 0.8887798190116882)], [[[364.0, 316.0], [413.0, 319.0], [412.0, 338.0], [363.0, 335.0]], ('20.00', 0.9975401163101196)], [[[39.0, 331.0], [142.0, 336.0], [141.0, 353.0], [38.0, 348.0]], ('WHITE RICE*', 0.9528154134750366)], [[[270.0, 342.0], [283.0, 342.0], [283.0, 360.0], [270.0, 360.0]], ('1', 0.9263982176780701)], [[[364.0, 344.0], [412.0, 347.0], [411.0, 366.0], [363.0, 363.0]], ('20.00', 0.9971521496772766)], [[[39.0, 357.0], [143.0, 362.0], [142.0, 379.0], [38.0, 374.0]], ('COKE ZERO*', 0.9362351298332214)], [[[270.0, 370.0], [283.0, 370.0], [283.0, 386.0], [270.0, 386.0]], ('1', 0.940538763999939)], [[[365.0, 372.0], [412.0, 376.0], [411.0, 394.0], [363.0, 390.0]], ('40.00', 0.9959699511528015)], [[[38.0, 394.0], [105.0, 400.0], [103.0, 418.0], [37.0, 412.0]], ('SubTotal', 0.9932722449302673)], [[[38.0, 417.0], [79.0, 421.0], [77.0, 439.0], [37.0, 435.0]], ('Total', 0.9975478053092957)], [[[353.0, 413.0], [411.0, 416.0], [410.0, 434.0], [352.0, 431.0]], ('655.00', 0.996105968952179)]]
{"store_name": "JINCHIENGSENG", "store_addr": "", "telephone": "", "date": "02/01/2018", "time": "", "subtotal": "655.00", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "COKEZERO*", "item_value": "40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WHITERICE*", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WHITERICE*", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PADTHAIGOONG'", "item_value": "140.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MAMUANG*", "item_value": "180.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GAIPADMED-", "item_value": "160.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PHADKRATIEM", "item_value": "95.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DRAFTBEER*", "item_value": "", "item_quantity": ""}, {"item_key": "Detail", "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
[[[[75.0, 88.0], [215.0, 83.0], [215.0, 104.0], [75.0, 109.0]], ('GUMBOSHOP', 0.9936277866363525)], [[[106.0, 115.0], [184.0, 115.0], [184.0, 128.0], [106.0, 128.0]], ('630 St Petcr Street', 0.8968904614448547)], [[[105.0, 126.0], [181.0, 126.0], [181.0, 139.0], [105.0, 139.0]], ('New Orleans, LA', 0.8468204736709595)], [[[108.0, 148.0], [188.0, 148.0], [188.0, 162.0], [108.0, 162.0]], ('504525-1486', 0.9838377237319946)], [[[27.0, 177.0], [103.0, 177.0], [103.0, 191.0], [27.0, 191.0]], ('Server:Ayana', 0.957636833190918)], [[[208.0, 174.0], [270.0, 173.0], [270.0, 188.0], [209.0, 189.0]], ('05/20/2017', 0.9981740117073059)], [[[26.0, 190.0], [53.0, 190.0], [53.0, 205.0], [26.0, 205.0]], ('56/7', 0.9962635040283203)], [[[227.0, 188.0], [272.0, 188.0], [272.0, 203.0], [227.0, 203.0]], ('4:28PM', 0.930809736251831)], [[[27.0, 205.0], [81.0, 205.0], [81.0, 219.0], [27.0, 219.0]], ('Guests:7', 0.9553771018981934)], [[[200.0, 219.0], [270.0, 219.0], [270.0, 230.0], [200.0, 230.0]], ('#30058', 0.9990193247795105)], [[[25.0, 233.0], [97.0, 233.0], [97.0, 247.0], [25.0, 247.0]], ('Reprint #3', 0.9378484487533569)], [[[26.0, 262.0], [170.0, 262.0], [170.0, 275.0], [26.0, 275.0]], ('G/Sch1 Vo1rads 3 @9.00)', 0.8905898928642273)], [[[240.0, 261.0], [274.0, 261.0], [274.0, 276.0], [240.0, 276.0]], ('27.00', 0.9938247799873352)], [[[25.0, 277.0], [130.0, 277.0], [130.0, 290.0], [25.0, 290.0]], ('Seafood Gumbo Bow1', 0.9179916381835938)], [[[245.0, 276.0], [274.0, 276.0], [274.0, 291.0], [245.0, 291.0]], ('9.50', 0.9937840700149536)], [[[24.0, 291.0], [108.0, 291.0], [108.0, 305.0], [24.0, 305.0]], ('Side Red Beans', 0.9607720375061035)], [[[246.0, 291.0], [274.0, 291.0], [274.0, 306.0], [246.0, 306.0]], ('4.99', 0.9950515031814575)], [[[24.0, 306.0], [112.0, 306.0], [112.0, 320.0], [24.0, 320.0]], ('Mashed Potatoes', 0.9728007912635803)], [[[247.0, 306.0], [276.0, 306.0], [276.0, 321.0], [247.0, 321.0]], ('4.50', 0.9931879043579102)], [[[22.0, 320.0], [112.0, 321.0], [112.0, 336.0], [22.0, 334.0]], ('St Peters Punch', 0.9575157165527344)], [[[247.0, 321.0], [276.0, 321.0], [276.0, 336.0], [247.0, 336.0]], ('8.99', 0.9947346448898315)], [[[20.0, 333.0], [102.0, 336.0], [101.0, 353.0], [20.0, 350.0]], ('Bread Pudding', 0.9746336340904236)], [[[248.0, 338.0], [277.0, 338.0], [277.0, 353.0], [248.0, 353.0]], ('4.99', 0.9958773851394653)], [[[19.0, 365.0], [123.0, 366.0], [123.0, 383.0], [19.0, 382.0]], ('Complete Subtotal', 0.945919394493103)], [[[242.0, 368.0], [278.0, 368.0], [278.0, 386.0], [242.0, 386.0]], ('59.97', 0.9944915771484375)], [[[18.0, 395.0], [70.0, 397.0], [70.0, 415.0], [17.0, 413.0]], ('Subtotal', 0.9814023971557617)], [[[243.0, 400.0], [279.0, 400.0], [279.0, 418.0], [243.0, 418.0]], ('59.97', 0.9956530332565308)], [[[20.0, 411.0], [41.0, 414.0], [39.0, 431.0], [18.0, 428.0]], ('Tax', 0.9935648441314697)], [[[250.0, 418.0], [279.0, 418.0], [279.0, 434.0], [250.0, 434.0]], ('6.60', 0.9910269975662231)]]
{"store_name": "GUMBOSHOP", "store_addr": "NewOrleans,I.A 680StPelerStreet", "telephone": "(504)525-1486", "date": "05/20/2017", "time": "4:28PM", "subtotal": "59.97 59.97", "tax": "6.60", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BreadPudding", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "StPetersPunch", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MashedPotatoes", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SideRedBeans", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SeafoodGumboBowl", "item_value": "9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "G/SchlVollrads([email protected])", "item_value": "27.00", "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, 43.0], [173.0, 48.0], [172.0, 66.0], [61.0, 60.0]], ('Thank You For Dining!', 0.9291487336158752)], [[[51.0, 55.0], [185.0, 63.0], [184.0, 80.0], [50.0, 72.0]], ('Red Robin Gourmet Burgers', 0.9486318826675415)], [[[77.0, 71.0], [159.0, 75.0], [159.0, 89.0], [77.0, 85.0]], ('14090 Worth Ave', 0.8995014429092407)], [[[69.0, 82.0], [174.0, 86.0], [174.0, 103.0], [68.0, 99.0]], ('Woodbridge.VA 22192', 0.9005675911903381)], [[[87.0, 96.0], [155.0, 99.0], [155.0, 113.0], [87.0, 110.0]], ('703-492-6900', 0.9805644154548645)], [[[8.0, 126.0], [72.0, 132.0], [70.0, 146.0], [7.0, 140.0]], ('Table123/1', 0.972231388092041)], [[[178.0, 122.0], [231.0, 122.0], [231.0, 133.0], [178.0, 133.0]], ('05/20/2016', 0.9936174154281616)], [[[8.0, 138.0], [63.0, 144.0], [61.0, 158.0], [6.0, 152.0]], ('Guests:2', 0.9575369358062744)], [[[190.0, 132.0], [234.0, 129.0], [234.0, 143.0], [191.0, 146.0]], ('9:57PH', 0.8330813050270081)], [[[7.0, 151.0], [78.0, 158.0], [76.0, 172.0], [5.0, 165.0]], ('Reprint 2', 0.9488590955734253)], [[[202.0, 143.0], [235.0, 143.0], [235.0, 157.0], [202.0, 157.0]], ('20102', 0.9962335824966431)], [[[4.0, 205.0], [122.0, 209.0], [121.0, 223.0], [4.0, 219.0]], ('PORT CITY OPTIMAL WIT', 0.9009480476379395)], [[[3.0, 217.0], [50.0, 219.0], [49.0, 234.0], [3.0, 232.0]], ('BLEU 8G', 0.8946314454078674)], [[[211.0, 208.0], [236.0, 208.0], [236.0, 220.0], [211.0, 220.0]], ('5.49', 0.9953278303146362)], [[[206.0, 220.0], [237.0, 220.0], [237.0, 234.0], [206.0, 234.0]], ('10.69', 0.9828807711601257)], [[[15.0, 231.0], [64.0, 233.0], [64.0, 247.0], [15.0, 245.0]], ('+MUSHRMS', 0.9481727480888367)], [[[211.0, 234.0], [237.0, 234.0], [237.0, 246.0], [211.0, 246.0]], ('1.39', 0.9936559200286865)], [[[1.0, 245.0], [133.0, 247.0], [133.0, 261.0], [1.0, 259.0]], ('GNT DOGFISH HEAD 60 IPA', 0.9005075693130493)], [[[211.0, 246.0], [239.0, 246.0], [239.0, 261.0], [211.0, 261.0]], ('7.79', 0.9646567106246948)], [[[2.0, 260.0], [47.0, 260.0], [47.0, 274.0], [2.0, 274.0]], ('MUSH BG', 0.9175272583961487)], [[[211.0, 259.0], [240.0, 259.0], [240.0, 274.0], [211.0, 274.0]], ('5.14', 0.9936736226081848)], [[[2.0, 302.0], [227.0, 301.0], [227.0, 312.0], [2.0, 313.0]], ('+**************************************', 0.7695208787918091)], [[[65.0, 314.0], [172.0, 314.0], [172.0, 327.0], [65.0, 327.0]], ('TELL US HOW WE DID', 0.9253658652305603)], [[[10.0, 345.0], [221.0, 344.0], [221.0, 358.0], [10.0, 359.0]], ('Scan above to provide your review or', 0.9604682922363281)], [[[27.0, 358.0], [204.0, 356.0], [205.0, 373.0], [27.0, 375.0]], ('go to www.redrobinfeedback.com', 0.9125234484672546)], [[[49.0, 372.0], [194.0, 370.0], [194.0, 387.0], [50.0, 389.0]], ('for CHANCES to WIN DAILY', 0.9422284960746765)], [[[33.0, 388.0], [199.0, 384.0], [200.0, 400.0], [34.0, 404.0]], ('CASH and OTHER WEEKLY PRIZES', 0.9532782435417175)], [[[7.0, 419.0], [218.0, 414.0], [219.0, 431.0], [7.0, 436.0]], ('See website for sweepstakes details', 0.9434614777565002)]]
{"store_name": "RedRobinGourmetBurgers", "store_addr": "14090WorthAve Woodbridge,VA22192", "telephone": "703-492-6900", "date": "05/20/2016", "time": "9:57PM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PORTCITYOPTIMALKIT", "item_value": "5.49", "item_quantity": "1"}, {"item_key": "", "item_name": "BLEUBG", "item_value": "10.69", "item_quantity": "1"}, {"item_key": "", "item_name": "+MUSHRMS", "item_value": "1.39", "item_quantity": "1"}, {"item_key": "", "item_name": "GNTDOGFISHHEAD60IPA", "item_value": "7.79", "item_quantity": "1"}, {"item_key": "", "item_name": "MUSHBG", "item_value": "5.14", "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
[[[[103.0, 4.0], [203.0, 0.0], [204.0, 12.0], [103.0, 18.0]], ('TACO SHOP', 0.9689270853996277)], [[[87.0, 28.0], [228.0, 19.0], [229.0, 36.0], [88.0, 45.0]], ('LAKE ELSINORE', 0.9628821611404419)], [[[88.0, 41.0], [240.0, 31.0], [241.0, 48.0], [89.0, 58.0]], ('951245-1438', 0.9914823174476624)], [[[54.0, 78.0], [126.0, 76.0], [127.0, 90.0], [55.0, 92.0]], ('SOPE SPECIAL', 0.9583984017372131)], [[[239.0, 69.0], [266.0, 66.0], [267.0, 82.0], [240.0, 84.0]], ('7.50', 0.9737683534622192)], [[[71.0, 92.0], [127.0, 92.0], [127.0, 103.0], [71.0, 103.0]], ('(CARNITAS)', 0.963813304901123)], [[[68.0, 103.0], [129.0, 103.0], [129.0, 117.0], [68.0, 117.0]], ('(CARNITAS)', 0.8904527425765991)], [[[57.0, 115.0], [98.0, 115.0], [98.0, 129.0], [57.0, 129.0]], ('EAT IN', 0.9299531579017639)], [[[59.0, 152.0], [156.0, 149.0], [156.0, 164.0], [60.0, 167.0]], ('TAXABLE SUBTOTAL', 0.9702222943305969)], [[[249.0, 144.0], [276.0, 144.0], [276.0, 159.0], [249.0, 159.0]], ('7.50', 0.9903094172477722)], [[[259.0, 157.0], [279.0, 157.0], [279.0, 173.0], [259.0, 173.0]], ('09', 0.9893045425415039)], [[[59.0, 167.0], [87.0, 167.0], [87.0, 182.0], [59.0, 182.0]], ('TAX-', 0.9722434282302856)], [[[60.0, 195.0], [121.0, 191.0], [122.0, 208.0], [61.0, 212.0]], ('TOTAL', 0.9977620244026184)], [[[231.0, 186.0], [279.0, 183.0], [280.0, 197.0], [232.0, 201.0]], ('8.10', 0.9977481961250305)], [[[223.0, 201.0], [281.0, 196.0], [282.0, 210.0], [224.0, 215.0]], ('20.00', 0.995930552482605)], [[[61.0, 212.0], [113.0, 208.0], [114.0, 222.0], [62.0, 226.0]], ('CASH', 0.9965651631355286)], [[[226.0, 214.0], [283.0, 209.0], [284.0, 224.0], [227.0, 229.0]], ('11.90', 0.9976786375045776)], [[[62.0, 226.0], [135.0, 219.0], [137.0, 236.0], [63.0, 243.0]], ('CHANGE', 0.9976444244384766)], [[[118.0, 250.0], [248.0, 240.0], [250.0, 256.0], [119.0, 265.0]], ('TIME20:512/16/2015', 0.9664404988288879)], [[[136.0, 264.0], [231.0, 256.0], [233.0, 270.0], [137.0, 279.0]], ('CLERK-PAOLA-#137', 0.966206967830658)], [[[126.0, 281.0], [233.0, 272.0], [235.0, 297.0], [128.0, 306.0]], ('RECPT #39', 0.9593714475631714)], [[[103.0, 322.0], [261.0, 307.0], [263.0, 325.0], [105.0, 340.0]], ('THANK YOU FOR', 0.9513868689537048)], [[[134.0, 334.0], [250.0, 326.0], [251.0, 340.0], [135.0, 347.0]], ('YOUR VISIT', 0.9240846633911133)]]
{"store_name": "TACOSHOP", "store_addr": "LAKEELSINORE 32251MISSIONTR.", "telephone": "(951)245-1438", "date": "2/16/2015", "time": "20:51", "subtotal": "7.50", "tax": ".60", "total": "8.1O", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SOPESPECIAL", "item_value": "7.50", "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
[[[[87.0, 58.0], [197.0, 52.0], [198.0, 69.0], [88.0, 76.0]], ('La Cabana', 0.9603573679924011)], [[[98.0, 74.0], [199.0, 67.0], [200.0, 84.0], [99.0, 91.0]], ('Helen,GA', 0.9112011194229126)], [[[24.0, 123.0], [112.0, 119.0], [113.0, 136.0], [24.0, 140.0]], ('CHK#29', 0.9835538864135742)], [[[160.0, 117.0], [239.0, 113.0], [239.0, 131.0], [161.0, 135.0]], ('TBL#1', 0.9741846919059753)], [[[200.0, 134.0], [215.0, 134.0], [215.0, 148.0], [200.0, 148.0]], ('#', 0.9974632263183594)], [[[265.0, 127.0], [281.0, 127.0], [281.0, 146.0], [265.0, 146.0]], ('5', 0.9990279674530029)], [[[23.0, 139.0], [87.0, 136.0], [88.0, 153.0], [23.0, 156.0]], ('Amber', 0.9988662600517273)], [[[20.0, 155.0], [144.0, 148.0], [145.0, 165.0], [21.0, 172.0]], ('6/6/20172:27:06PM', 0.956034243106842)], [[[205.0, 146.0], [251.0, 146.0], [251.0, 164.0], [205.0, 164.0]], ('GUESTS', 0.9952365756034851)], [[[265.0, 146.0], [278.0, 146.0], [278.0, 161.0], [265.0, 161.0]], ('2', 0.9969616532325745)], [[[95.0, 183.0], [178.0, 183.0], [178.0, 200.0], [95.0, 200.0]], ('1 Sm Chz Dip', 0.9291105270385742)], [[[254.0, 178.0], [287.0, 178.0], [287.0, 197.0], [254.0, 197.0]], ('3.75', 0.9964168071746826)], [[[92.0, 200.0], [132.0, 200.0], [132.0, 218.0], [92.0, 218.0]], ('1 Tea', 0.900292694568634)], [[[256.0, 197.0], [288.0, 197.0], [288.0, 214.0], [256.0, 214.0]], ('1.95', 0.9972054958343506)], [[[92.0, 217.0], [131.0, 217.0], [131.0, 235.0], [92.0, 235.0]], ('1 Tea', 0.9383791089057922)], [[[256.0, 213.0], [291.0, 213.0], [291.0, 232.0], [256.0, 232.0]], ('1.95', 0.9955750107765198)], [[[91.0, 235.0], [213.0, 233.0], [213.0, 250.0], [91.0, 252.0]], ('1 Spicy Fish Lite', 0.9346933960914612)], [[[252.0, 231.0], [291.0, 229.0], [292.0, 248.0], [253.0, 250.0]], ('12.00', 0.9950789213180542)], [[[118.0, 254.0], [172.0, 254.0], [172.0, 271.0], [118.0, 271.0]], ('x crema', 0.9176891446113586)], [[[90.0, 272.0], [222.0, 271.0], [222.0, 289.0], [90.0, 290.0]], ('1 Pollo Asado Lite', 0.9272423982620239)], [[[257.0, 270.0], [297.0, 270.0], [297.0, 289.0], [257.0, 289.0]], ('12.25', 0.990180492401123)], [[[116.0, 294.0], [194.0, 292.0], [194.0, 310.0], [117.0, 313.0]], ('x aguacate', 0.9557417035102844)], [[[2.0, 314.0], [67.0, 314.0], [67.0, 332.0], [2.0, 332.0]], ('SUBTOTAL:', 0.985376238822937)], [[[259.0, 311.0], [302.0, 311.0], [302.0, 330.0], [259.0, 330.0]], ('31.90', 0.9972222447395325)], [[[0.0, 334.0], [31.0, 334.0], [31.0, 355.0], [0.0, 355.0]], ('TAX:', 0.9845537543296814)], [[[265.0, 332.0], [303.0, 329.0], [305.0, 352.0], [266.0, 355.0]], ('2.23', 0.9925234913825989)], [[[0.0, 355.0], [74.0, 355.0], [74.0, 376.0], [0.0, 376.0]], ('Termina11', 0.9425846934318542)], [[[140.0, 355.0], [213.0, 355.0], [213.0, 376.0], [140.0, 376.0]], ('T#0000015', 0.9993557333946228)], [[[0.0, 379.0], [84.0, 379.0], [84.0, 400.0], [0.0, 400.0]], ('TOTAL:', 0.979882538318634)], [[[208.0, 377.0], [307.0, 374.0], [307.0, 399.0], [209.0, 401.0]], ('$34.13', 0.9953011870384216)], [[[8.0, 424.0], [284.0, 426.0], [284.0, 446.0], [8.0, 444.0]], ('(DISCOUNTS excluded-TAx included)', 0.8818122744560242)]]
{"store_name": "Lacabana", "store_addr": "Helen,GA", "telephone": "", "date": "6/6/2017", "time": "2:27:06PM", "subtotal": "31.90", "tax": "2.23", "total": "$34.13", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SmChzDip", "item_value": "3.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Tea", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Tea", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SpicyFishLite", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "xcrema", "item_value": "12.25", "item_quantity": "1"}, {"item_key": "", "item_name": "PolloAsadoLite", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "xaguacate", "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
[[[[1041.0, 452.0], [1542.0, 452.0], [1542.0, 903.0], [1041.0, 903.0]], ('303', 0.990871250629425)], [[[612.0, 942.0], [1745.0, 975.0], [1743.0, 1063.0], [610.0, 1031.0]], ('BUY ONE GET ONE FHEE QILARTER POUNDER', 0.8865265846252441)], [[[800.0, 1040.0], [1556.0, 1054.0], [1554.0, 1125.0], [799.0, 1111.0]], ('W/CHEESE OF EGG MCMUFFIN', 0.9072211384773254)], [[[734.0, 1190.0], [1648.0, 1205.0], [1647.0, 1280.0], [733.0, 1266.0]], ('and tell us alout your visit.', 0.9313251376152039)], [[[705.0, 1261.0], [1244.0, 1285.0], [1241.0, 1360.0], [702.0, 1336.0]], ('Va lidation Co', 0.9374217987060547)], [[[643.0, 1336.0], [1732.0, 1360.0], [1730.0, 1439.0], [641.0, 1416.0]], ('Expires 30 days fter receipt date.', 0.9530099034309387)], [[[607.0, 1407.0], [1767.0, 1430.0], [1765.0, 1519.0], [606.0, 1496.0]], ('Valid at particinting US Mc Donalds.', 0.9252448678016663)], [[[919.0, 1505.0], [1437.0, 1514.0], [1436.0, 1581.0], [918.0, 1571.0]], ('91-19 Cn E1vd', 0.8483051061630249)], [[[1043.0, 1580.0], [1315.0, 1590.0], [1312.0, 1666.0], [1040.0, 1655.0]], ('Elnhurst', 0.9195408821105957)], [[[1129.0, 1665.0], [1226.0, 1665.0], [1226.0, 1740.0], [1129.0, 1740.0]], ('All', 0.7881879806518555)], [[[1107.0, 1740.0], [1287.0, 1740.0], [1287.0, 1820.0], [1107.0, 1820.0]], ('11373', 0.9055148959159851)], [[[857.0, 1815.0], [1534.0, 1824.0], [1533.0, 1900.0], [856.0, 1890.0]], ('!!!THANK YOL!!!', 0.8465815782546997)], [[[704.0, 1890.0], [1657.0, 1904.0], [1656.0, 1979.0], [703.0, 1965.0]], ('TEL#718 478 23S1ore#23149', 0.9160879254341125)], [[[553.0, 2119.0], [744.0, 2131.0], [739.0, 2215.0], [548.0, 2203.0]], ('KS#3', 0.9400218725204468)], [[[1139.0, 2138.0], [1815.0, 2147.0], [1814.0, 2223.0], [1138.0, 2213.0]], ("ct.1C'15 Sat11:01", 0.8959105014801025)], [[[582.0, 2288.0], [989.0, 2303.0], [987.0, 2383.0], [579.0, 2368.0]], ('KVS Order 03', 0.9055309295654297)], [[[549.0, 2461.0], [826.0, 2461.0], [826.0, 2541.0], [549.0, 2541.0]], ('QTY ITEM', 0.9675881266593933)], [[[1661.0, 2470.0], [1828.0, 2470.0], [1828.0, 2554.0], [1661.0, 2554.0]], ('TOTAL', 0.9978911280632019)], [[[603.0, 2545.0], [1081.0, 2555.0], [1080.0, 2630.0], [601.0, 2620.0]], ('22 Apple Pies', 0.9169596433639526)], [[[1683.0, 2548.0], [1843.0, 2561.0], [1836.0, 2645.0], [1676.0, 2632.0]], ('2.78', 0.9939845204353333)], [[[540.0, 2718.0], [813.0, 2718.0], [813.0, 2798.0], [540.0, 2798.0]], ('Subtotal', 0.9916958808898926)], [[[1692.0, 2721.0], [1852.0, 2733.0], [1845.0, 2817.0], [1685.0, 2805.0]], ('2.78', 0.9962638020515442)], [[[602.0, 2802.0], [725.0, 2802.0], [725.0, 2891.0], [602.0, 2891.0]], ('Tax', 0.9947080612182617)], [[[1691.0, 2816.0], [1854.0, 2816.0], [1854.0, 2900.0], [1691.0, 2900.0]], ('0.25', 0.9924602508544922)], [[[536.0, 2984.0], [1006.0, 2984.0], [1006.0, 3059.0], [536.0, 3059.0]], ('Take-Out Total', 0.9109707474708557)], [[[1700.0, 2993.0], [1858.0, 2993.0], [1858.0, 3077.0], [1700.0, 3077.0]], ('3.03', 0.9943801164627075)], [[[523.0, 3165.0], [975.0, 3165.0], [975.0, 3241.0], [523.0, 3241.0]], ('Cash Tendered', 0.9661614298820496)], [[[1705.0, 3164.0], [1865.0, 3176.0], [1858.0, 3264.0], [1698.0, 3252.0]], ('3.03', 0.9941213130950928)], [[[518.0, 3243.0], [740.0, 3260.0], [734.0, 3344.0], [512.0, 3327.0]], ('Change', 0.9984621405601501)], [[[1705.0, 3263.0], [1863.0, 3263.0], [1863.0, 3347.0], [1705.0, 3347.0]], ('0.00', 0.9969950914382935)], [[[827.0, 3524.0], [1551.0, 3533.0], [1550.0, 3617.0], [826.0, 3608.0]], ('McDona ld Restaurart', 0.9439385533332825)]]
{"store_name": "McDonald'sRestaurart", "store_addr": "HY Elmhurst 91-19QueenBlvd", "telephone": "7184780323", "date": "Oct.10'15(Sat)", "time": "11:01", "subtotal": "2.78", "tax": "0.25", "total": "3.03", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "2ApplePies", "item_value": "2.78", "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
[[[[98.0, 55.0], [217.0, 38.0], [219.0, 52.0], [100.0, 69.0]], ('THANK YOU FOR VISITING', 0.9498029351234436)], [[[104.0, 68.0], [207.0, 53.0], [209.0, 67.0], [106.0, 82.0]], ('KOBE SUSHI BISTRO!!', 0.9055511355400085)], [[[96.0, 82.0], [221.0, 64.0], [223.0, 79.0], [98.0, 97.0]], ('6375 South Rainbow Blvd', 0.9235889315605164)], [[[124.0, 93.0], [201.0, 80.0], [203.0, 93.0], [126.0, 106.0]], ('702898-9998', 0.9880479574203491)], [[[223.0, 102.0], [280.0, 93.0], [282.0, 107.0], [225.0, 116.0]], ('03/22/2014', 0.9953487515449524)], [[[238.0, 113.0], [282.0, 105.0], [285.0, 120.0], [241.0, 127.0]], ('8:37PH', 0.8184950351715088)], [[[54.0, 126.0], [124.0, 116.0], [126.0, 133.0], [56.0, 143.0]], ('ServerPETE', 0.9810713529586792)], [[[251.0, 123.0], [284.0, 118.0], [287.0, 133.0], [254.0, 138.0]], ('10007', 0.9885724782943726)], [[[57.0, 140.0], [115.0, 132.0], [117.0, 147.0], [59.0, 155.0]], ('Table 20/2', 0.9280267953872681)], [[[57.0, 154.0], [113.0, 147.0], [114.0, 160.0], [58.0, 167.0]], ('Guests:0', 0.8876187205314636)], [[[260.0, 146.0], [287.0, 143.0], [289.0, 159.0], [262.0, 162.0]], ('1.50', 0.9893469214439392)], [[[256.0, 161.0], [288.0, 157.0], [290.0, 172.0], [258.0, 176.0]], ('53.98', 0.9891290664672852)], [[[62.0, 178.0], [110.0, 171.0], [112.0, 185.0], [64.0, 192.0]], ('RASP TEA', 0.9467720985412598)], [[[65.0, 192.0], [228.0, 165.0], [230.0, 179.0], [67.0, 206.0]], ('ALL U CAN EAT DINNER 2 @26.99', 0.9062460064888)], [[[260.0, 185.0], [292.0, 181.0], [294.0, 196.0], [262.0, 200.0]], ('55.48', 0.9943639636039734)], [[[265.0, 198.0], [294.0, 194.0], [296.0, 209.0], [267.0, 213.0]], ('445', 0.6323366165161133)], [[[68.0, 217.0], [114.0, 210.0], [116.0, 225.0], [71.0, 232.0]], ('Subtotal', 0.9853251576423645)], [[[267.0, 224.0], [297.0, 220.0], [299.0, 235.0], [269.0, 239.0]], ('59.97', 0.9875906109809875)], [[[73.0, 258.0], [103.0, 252.0], [106.0, 267.0], [76.0, 273.0]], ('Total', 0.9813176393508911)], [[[247.0, 254.0], [301.0, 246.0], [303.0, 260.0], [250.0, 269.0]], ('59.97', 0.9980653524398804)], [[[78.0, 284.0], [198.0, 263.0], [201.0, 277.0], [81.0, 298.0]], ('Balance Due', 0.9529317617416382)], [[[115.0, 305.0], [269.0, 277.0], [272.0, 291.0], [117.0, 319.0]], ('NOTICE TO DEBIT CARD USERS!!!', 0.9301571846008301)], [[[116.0, 319.0], [272.0, 291.0], [275.0, 305.0], [118.0, 333.0]], ('YOUR BANK STATEMENT WILL SHON', 0.9210258722305298)], [[[118.0, 333.0], [274.0, 306.0], [277.0, 319.0], [120.0, 346.0]], ('A WORD PENDING WITH DIFFERENT', 0.9028556942939758)], [[[162.0, 338.0], [274.0, 320.0], [277.0, 334.0], [165.0, 347.0]], ('DLEASEAIT2T03', 0.6852282285690308)], [[[244.0, 337.0], [278.0, 337.0], [278.0, 347.0], [244.0, 347.0]], ('OMITH', 0.8294432759284973)]]
{"store_name": "KOBESUSHIBISTRO!!", "store_addr": "6375SouthRainbowBlvd", "telephone": "(702)898-9998", "date": "03/22/2014", "time": "8:37PM", "subtotal": "55.48", "tax": "4.49", "total": "59.97 59.97", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ALLUCANEATDINNER([email protected])", "item_value": "53.98", "item_quantity": "1"}, {"item_key": "", "item_name": "RASPTEA", "item_value": "1.50", "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
[[[[958.0, 804.0], [1330.0, 866.0], [1312.0, 970.0], [940.0, 909.0]], ('BAR LOUIE', 0.9515950679779053)], [[[925.0, 904.0], [1411.0, 963.0], [1397.0, 1072.0], [911.0, 1013.0]], ('1280 Hwy 315', 0.9313223361968994)], [[[951.0, 1009.0], [1318.0, 1061.0], [1304.0, 1160.0], [936.0, 1107.0]], ('Ste#1801', 0.9964442849159241)], [[[207.0, 1090.0], [822.0, 1191.0], [805.0, 1286.0], [190.0, 1185.0]], ('Server: Katie', 0.937501072883606)], [[[196.0, 1203.0], [453.0, 1242.0], [437.0, 1343.0], [180.0, 1305.0]], ('422/1', 0.997296929359436)], [[[1607.0, 1223.0], [2059.0, 1180.0], [2068.0, 1272.0], [1616.0, 1315.0]], ('09/18/2014', 0.9978979825973511)], [[[180.0, 1322.0], [630.0, 1381.0], [616.0, 1479.0], [167.0, 1421.0]], ('Guests:1', 0.9662377834320068)], [[[1735.0, 1315.0], [2070.0, 1282.0], [2079.0, 1374.0], [1745.0, 1407.0]], ('8:01PM', 0.9576187133789062)], [[[1829.0, 1407.0], [2077.0, 1385.0], [2086.0, 1483.0], [1838.0, 1505.0]], ('60077', 0.9988307952880859)], [[[155.0, 1565.0], [796.0, 1624.0], [787.0, 1716.0], [146.0, 1657.0]], ('DOLLAR BURGER', 0.9700756669044495)], [[[1890.0, 1610.0], [2099.0, 1596.0], [2106.0, 1698.0], [1897.0, 1712.0]], ('1.00', 0.9965866804122925)], [[[252.0, 1694.0], [837.0, 1739.0], [829.0, 1831.0], [245.0, 1786.0]], ('BN JALAPENOS', 0.977593719959259)], [[[1893.0, 1722.0], [2109.0, 1708.0], [2116.0, 1811.0], [1900.0, 1824.0]], ('0.50', 0.9946128726005554)], [[[240.0, 1818.0], [1010.0, 1865.0], [1005.0, 1950.0], [235.0, 1902.0]], ('BN GRILLED ONION', 0.9495630264282227)], [[[1906.0, 1833.0], [2121.0, 1833.0], [2121.0, 1935.0], [1906.0, 1935.0]], ('0.50', 0.9960212707519531)], [[[232.0, 1944.0], [1225.0, 1990.0], [1221.0, 2072.0], [228.0, 2025.0]], ('BN PEPPER JACK CHEESE', 0.9407361149787903)], [[[1908.0, 1949.0], [2128.0, 1940.0], [2133.0, 2046.0], [1912.0, 2055.0]], ('0.75', 0.9970147609710693)], [[[214.0, 2063.0], [822.0, 2082.0], [819.0, 2177.0], [211.0, 2158.0]], ('BN MUSHROOMS', 0.9686298966407776)], [[[1923.0, 2067.0], [2142.0, 2067.0], [2142.0, 2169.0], [1923.0, 2169.0]], ('0.50', 0.9952735900878906)], [[[95.0, 2189.0], [953.0, 2207.0], [951.0, 2302.0], [93.0, 2284.0]], ('Coors Light Draft', 0.9710000157356262)], [[[1923.0, 2190.0], [2156.0, 2190.0], [2156.0, 2302.0], [1923.0, 2302.0]], ('2.00', 0.9966659545898438)], [[[1933.0, 2315.0], [2166.0, 2315.0], [2166.0, 2428.0], [1933.0, 2428.0]], ('0.00', 0.9973680377006531)], [[[306.0, 2326.0], [1043.0, 2326.0], [1043.0, 2421.0], [306.0, 2421.0]], ('SIN Thurs Draft', 0.9696828722953796)], [[[1954.0, 2574.0], [2184.0, 2574.0], [2184.0, 2693.0], [1954.0, 2693.0]], ('5.25', 0.991680383682251)], [[[48.0, 2588.0], [492.0, 2576.0], [495.0, 2689.0], [51.0, 2700.0]], ('Subtotal', 0.9911844730377197)], [[[1958.0, 2702.0], [2203.0, 2711.0], [2197.0, 2837.0], [1953.0, 2827.0]], ('0.20', 0.9963775277137756)], [[[52.0, 2737.0], [223.0, 2737.0], [223.0, 2849.0], [52.0, 2849.0]], ('Tax', 0.9958049654960632)], [[[1977.0, 2976.0], [2221.0, 2991.0], [2213.0, 3123.0], [1969.0, 3109.0]], ('5.45', 0.9886035919189453)], [[[38.0, 3002.0], [303.0, 3002.0], [303.0, 3131.0], [38.0, 3131.0]], ('Total', 0.9768004417419434)]]
{"store_name": "BARLOUIE", "store_addr": "1280Hwy315 Ste#1801", "telephone": "", "date": "09/18/2014", "time": "8:01PM", "subtotal": "5.25", "tax": "0.20", "total": "5.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DOLLARBURGER", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BNJALAPENOS", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BNGRILLEDONION", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BNPEPPERJACKCHEESE", "item_value": "0.75", "item_quantity": "1"}, {"item_key": "", "item_name": "BNMUSHROOMS", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CoorsLightDraft", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SINThursDraft", "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
[[[[958.0, 804.0], [1330.0, 866.0], [1312.0, 970.0], [940.0, 909.0]], ('BAR LOUIE', 0.9510971903800964)], [[[925.0, 904.0], [1411.0, 963.0], [1397.0, 1072.0], [911.0, 1013.0]], ('1280 Hwy 315', 0.9315246939659119)], [[[951.0, 1009.0], [1318.0, 1061.0], [1304.0, 1160.0], [936.0, 1107.0]], ('Ste#1801', 0.9964629411697388)], [[[207.0, 1090.0], [822.0, 1191.0], [805.0, 1286.0], [190.0, 1185.0]], ('Server: Katie', 0.9374131560325623)], [[[196.0, 1203.0], [453.0, 1242.0], [437.0, 1343.0], [180.0, 1305.0]], ('422/1', 0.9972856640815735)], [[[1607.0, 1223.0], [2059.0, 1180.0], [2068.0, 1272.0], [1616.0, 1315.0]], ('09/18/2014', 0.9978948831558228)], [[[180.0, 1322.0], [630.0, 1381.0], [616.0, 1479.0], [167.0, 1421.0]], ('Guests:1', 0.9658836126327515)], [[[1735.0, 1315.0], [2070.0, 1282.0], [2079.0, 1374.0], [1745.0, 1407.0]], ('8:01PM', 0.957241952419281)], [[[1829.0, 1407.0], [2077.0, 1385.0], [2086.0, 1483.0], [1838.0, 1505.0]], ('60077', 0.9988247156143188)], [[[155.0, 1565.0], [796.0, 1624.0], [787.0, 1716.0], [146.0, 1657.0]], ('DOLLAR BURGER', 0.9700072407722473)], [[[1890.0, 1610.0], [2099.0, 1596.0], [2106.0, 1698.0], [1897.0, 1712.0]], ('1.00', 0.996588945388794)], [[[252.0, 1694.0], [837.0, 1739.0], [829.0, 1831.0], [245.0, 1786.0]], ('BN JALAPENOS', 0.9775429368019104)], [[[1893.0, 1722.0], [2109.0, 1708.0], [2116.0, 1811.0], [1900.0, 1824.0]], ('0.50', 0.9941606521606445)], [[[240.0, 1818.0], [1010.0, 1865.0], [1005.0, 1950.0], [235.0, 1902.0]], ('BN GRILLED ONION', 0.94997239112854)], [[[1906.0, 1833.0], [2121.0, 1833.0], [2121.0, 1935.0], [1906.0, 1935.0]], ('0.50', 0.9960591793060303)], [[[232.0, 1944.0], [1225.0, 1990.0], [1221.0, 2072.0], [228.0, 2025.0]], ('BN PEPPER JACK CHEESE', 0.9408907890319824)], [[[1908.0, 1949.0], [2128.0, 1940.0], [2133.0, 2046.0], [1912.0, 2055.0]], ('0.75', 0.9969810247421265)], [[[214.0, 2063.0], [822.0, 2082.0], [819.0, 2177.0], [211.0, 2158.0]], ('BN MUSHROOMS', 0.968614399433136)], [[[1923.0, 2067.0], [2142.0, 2067.0], [2142.0, 2169.0], [1923.0, 2169.0]], ('0.50', 0.9951151013374329)], [[[95.0, 2189.0], [953.0, 2207.0], [951.0, 2302.0], [93.0, 2284.0]], ('Coors Light Draft', 0.9709656834602356)], [[[1923.0, 2190.0], [2156.0, 2190.0], [2156.0, 2302.0], [1923.0, 2302.0]], ('2.00', 0.9967700242996216)], [[[1933.0, 2315.0], [2166.0, 2315.0], [2166.0, 2428.0], [1933.0, 2428.0]], ('0.00', 0.9972222447395325)], [[[306.0, 2326.0], [1043.0, 2326.0], [1043.0, 2421.0], [306.0, 2421.0]], ('SIN Thurs Draft', 0.9694156646728516)], [[[1954.0, 2574.0], [2184.0, 2574.0], [2184.0, 2693.0], [1954.0, 2693.0]], ('5.25', 0.991675853729248)], [[[48.0, 2588.0], [492.0, 2576.0], [495.0, 2689.0], [51.0, 2700.0]], ('Subtotal', 0.9917068481445312)], [[[1958.0, 2702.0], [2203.0, 2711.0], [2197.0, 2840.0], [1953.0, 2831.0]], ('0.20', 0.9940963387489319)], [[[52.0, 2737.0], [223.0, 2737.0], [223.0, 2849.0], [52.0, 2849.0]], ('Tax', 0.9476775527000427)], [[[1974.0, 2976.0], [2221.0, 2991.0], [2213.0, 3123.0], [1966.0, 3109.0]], ('5.45', 0.9905463457107544)], [[[34.0, 3006.0], [299.0, 2998.0], [304.0, 3127.0], [38.0, 3136.0]], ('Total', 0.9889432787895203)]]
{"store_name": "BARLOUIE", "store_addr": "1280Hwy315", "telephone": "", "date": "09/18/2014", "time": "8:01PM", "subtotal": "5.25", "tax": "0.20", "total": "5.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DOLLARBURGER", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BNJALAPENOS", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BNGRILLEDONION", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BNPEPPERJACKCHEESE", "item_value": "0.75", "item_quantity": "1"}, {"item_key": "", "item_name": "BNMUSHROOMS", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CoorsLightDraft", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SINThursDraft", "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
[[[[79.0, 5.0], [221.0, 3.0], [222.0, 20.0], [79.0, 22.0]], ('MEAT MARKET', 0.9551995992660522)], [[[73.0, 28.0], [231.0, 26.0], [231.0, 42.0], [73.0, 45.0]], ('4732 E CESAR CHAVEZ AVE', 0.9099142551422119)], [[[79.0, 52.0], [225.0, 48.0], [226.0, 65.0], [79.0, 68.0]], ('LOS ANGELES.CA 90022', 0.9380112886428833)], [[[87.0, 74.0], [219.0, 71.0], [220.0, 88.0], [87.0, 91.0]], ('PHONE 323)2612142', 0.9346454739570618)], [[[17.0, 96.0], [49.0, 96.0], [49.0, 115.0], [17.0, 115.0]], ('DATE', 0.9965624213218689)], [[[121.0, 95.0], [193.0, 94.0], [193.0, 112.0], [122.0, 113.0]], ('11/08/2015', 0.9970678091049194)], [[[272.0, 94.0], [296.0, 94.0], [296.0, 111.0], [272.0, 111.0]], ('SUN', 0.9965665340423584)], [[[60.0, 120.0], [124.0, 119.0], [125.0, 136.0], [61.0, 138.0]], ('GROCERY F', 0.9526985883712769)], [[[258.0, 116.0], [297.0, 116.0], [297.0, 133.0], [258.0, 133.0]], ('$6.00', 0.9739241600036621)], [[[61.0, 142.0], [159.0, 140.0], [159.0, 157.0], [62.0, 159.0]], ('GATORADE LEMON', 0.9596124291419983)], [[[259.0, 138.0], [298.0, 138.0], [298.0, 156.0], [259.0, 156.0]], ('$1.29', 0.9935302734375)], [[[124.0, 164.0], [193.0, 164.0], [193.0, 181.0], [124.0, 181.0]], ('ITEHS2.00', 0.9354711174964905)], [[[61.0, 188.0], [98.0, 188.0], [98.0, 206.0], [61.0, 206.0]], ('TOTAL', 0.9951063990592957)], [[[260.0, 185.0], [300.0, 185.0], [300.0, 203.0], [260.0, 203.0]], ('$7.29', 0.9933182001113892)], [[[61.0, 210.0], [94.0, 210.0], [94.0, 228.0], [61.0, 228.0]], ('CASH', 0.9968572854995728)], [[[254.0, 208.0], [301.0, 208.0], [301.0, 225.0], [254.0, 225.0]], ('$18.00', 0.9841864705085754)], [[[61.0, 233.0], [106.0, 230.0], [107.0, 249.0], [62.0, 251.0]], ('CHANGE', 0.9982718825340271)], [[[255.0, 231.0], [301.0, 231.0], [301.0, 249.0], [255.0, 249.0]], ('$10.71', 0.9946041703224182)], [[[22.0, 257.0], [165.0, 254.0], [165.0, 271.0], [22.0, 274.0]], ('NO.270302 REG01 ANGEL', 0.9483299255371094)], [[[227.0, 255.0], [301.0, 255.0], [301.0, 272.0], [227.0, 272.0]], ('TIME 12:07', 0.8793908953666687)], [[[125.0, 278.0], [190.0, 278.0], [190.0, 296.0], [125.0, 296.0]], ('THANK YOU', 0.9453858137130737)], [[[98.0, 302.0], [216.0, 302.0], [216.0, 318.0], [98.0, 318.0]], ('HAVE A GOOD DAY!', 0.8924152255058289)]]
{"store_name": "MEATMARKET", "store_addr": "4732ECESARCHAVEZAVE LOSANGELES,CA90022", "telephone": "(323)2612142", "date": "11/08/2015", "time": "12:07", "subtotal": "", "tax": "", "total": "$7.29", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GROCERYF", "item_value": "$6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GATORADELEMON", "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
[[[[136.0, 32.0], [235.0, 32.0], [235.0, 55.0], [136.0, 55.0]], ('SUPER', 0.995606541633606)], [[[292.0, 24.0], [403.0, 28.0], [402.0, 56.0], [292.0, 52.0]], ('FOODS', 0.9494677782058716)], [[[198.0, 84.0], [317.0, 81.0], [318.0, 98.0], [199.0, 101.0]], ('5250 York Bvd.', 0.9040489196777344)], [[[168.0, 96.0], [357.0, 94.0], [358.0, 111.0], [169.0, 113.0]], ('H1ghland ParkCA 90042', 0.9124895930290222)], [[[169.0, 109.0], [373.0, 105.0], [373.0, 125.0], [170.0, 130.0]], ('323)551-6884 Mgr:Roger', 0.9266111850738525)], [[[116.0, 145.0], [216.0, 142.0], [217.0, 160.0], [117.0, 163.0]], ('Purchase $', 0.9439020156860352)], [[[246.0, 138.0], [282.0, 138.0], [282.0, 156.0], [246.0, 156.0]], ('1.48', 0.9909629821777344)], [[[118.0, 175.0], [153.0, 175.0], [153.0, 194.0], [118.0, 194.0]], ('VISA', 0.9981896877288818)], [[[241.0, 169.0], [382.0, 166.0], [382.0, 183.0], [242.0, 186.0]], ('#SXXXXXxXXXxXX3009', 0.8009480834007263)], [[[119.0, 193.0], [220.0, 185.0], [221.0, 202.0], [120.0, 210.0]], ('Auth#01336C', 0.9418222308158875)], [[[119.0, 208.0], [190.0, 202.0], [192.0, 219.0], [120.0, 225.0]], ('Lane 02', 0.9185290932655334)], [[[240.0, 199.0], [353.0, 195.0], [354.0, 213.0], [241.0, 216.0]], ('Cashier #8399', 0.8984163999557495)], [[[118.0, 235.0], [324.0, 225.0], [325.0, 244.0], [119.0, 254.0]], ('Mrch=087198Term=001 IC=CC', 0.9619156718254089)], [[[120.0, 252.0], [214.0, 249.0], [215.0, 265.0], [121.0, 269.0]], ('EPS Sequence', 0.9627103805541992)], [[[239.0, 246.0], [307.0, 242.0], [309.0, 258.0], [240.0, 263.0]], ('#027576', 0.9300104379653931)], [[[116.0, 312.0], [200.0, 308.0], [201.0, 326.0], [117.0, 330.0]], ('BAKERY DEPT', 0.9455677270889282)], [[[131.0, 328.0], [280.0, 322.0], [281.0, 341.0], [132.0, 348.0]], ('ASSORTED SWEETBREAD', 0.9651300311088562)], [[[130.0, 345.0], [217.0, 339.0], [218.0, 356.0], [131.0, 362.0]], ('203EOR', 0.8193748593330383)], [[[258.0, 339.0], [294.0, 339.0], [294.0, 353.0], [258.0, 353.0]], ('119', 0.9343758225440979)], [[[360.0, 336.0], [422.0, 336.0], [422.0, 354.0], [360.0, 354.0]], ('0.80F', 0.9783188700675964)], [[[116.0, 373.0], [171.0, 369.0], [172.0, 388.0], [117.0, 391.0]], ('GROCERY', 0.9968608617782593)], [[[131.0, 389.0], [201.0, 389.0], [201.0, 406.0], [131.0, 406.0]], ('PAPER BAG', 0.9622387290000916)], [[[362.0, 383.0], [400.0, 383.0], [400.0, 402.0], [362.0, 402.0]], ('0.10', 0.9921906590461731)], [[[411.0, 384.0], [424.0, 384.0], [424.0, 398.0], [411.0, 398.0]], ('F', 0.949824869632721)], [[[116.0, 420.0], [173.0, 420.0], [173.0, 437.0], [116.0, 437.0]], ('PRODUCE', 0.9935522079467773)], [[[130.0, 437.0], [249.0, 434.0], [250.0, 452.0], [131.0, 454.0]], ('ORG-NAVEL LARGE', 0.9623454809188843)], [[[131.0, 453.0], [304.0, 450.0], [304.0, 467.0], [132.0, 470.0]], ('1.76 1b0.99/3 1b', 0.9198027849197388)], [[[363.0, 446.0], [399.0, 446.0], [399.0, 465.0], [363.0, 465.0]], ('0.58', 0.9932880401611328)], [[[147.0, 498.0], [237.0, 498.0], [237.0, 529.0], [147.0, 529.0]], ('BALANCE DUE', 0.9682419300079346)], [[[361.0, 490.0], [400.0, 490.0], [400.0, 526.0], [361.0, 526.0]], ('1.48', 0.9689667224884033)], [[[150.0, 530.0], [182.0, 530.0], [182.0, 546.0], [150.0, 546.0]], ('VISA', 0.9978524446487427)], [[[366.0, 522.0], [399.0, 522.0], [399.0, 542.0], [366.0, 542.0]], ('1.48', 0.9917246103286743)], [[[164.0, 545.0], [307.0, 545.0], [307.0, 562.0], [164.0, 562.0]], ('Auth Code=01336C', 0.9560346603393555)], [[[151.0, 572.0], [201.0, 572.0], [201.0, 593.0], [151.0, 593.0]], ('CHANGE', 0.9980373382568359)], [[[364.0, 568.0], [399.0, 568.0], [399.0, 588.0], [364.0, 588.0]], ('0.00', 0.9959056973457336)], [[[121.0, 682.0], [280.0, 685.0], [279.0, 702.0], [121.0, 699.0]], ('CASHIER NAME:REGINA', 0.9565640687942505)], [[[138.0, 714.0], [232.0, 716.0], [232.0, 733.0], [138.0, 731.0]], ('TICKET#:4977', 0.931344211101532)], [[[278.0, 718.0], [426.0, 708.0], [427.0, 725.0], [279.0, 735.0]], ('120EC201416:45:09', 0.9239608645439148)], [[[175.0, 745.0], [375.0, 740.0], [375.0, 764.0], [175.0, 768.0]], ('THANK YOU FOR SHOPPING AT', 0.9315181970596313)], [[[153.0, 760.0], [362.0, 760.0], [362.0, 781.0], [153.0, 781.0]], ('SUPERAFOODS', 0.988935649394989)], [[[351.0, 760.0], [417.0, 756.0], [418.0, 774.0], [352.0, 777.0]], ('11', 0.966066837310791)]]
{"store_name": "SUPERAFOODS", "store_addr": "HighlandPark,CA90042 5250YorkBlvd.", "telephone": "(323)551-6884", "date": "120EC2014 12/12/14", "time": "16:45:09 16:45", "subtotal": "1.48", "tax": "", "total": "1.48 1.48", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ORG-NAVELLARGE", "item_value": "0.80", "item_quantity": "1"}, {"item_key": "", "item_name": "PAPERBAG", "item_value": "0.10", "item_quantity": "1"}, {"item_key": "", "item_name": "ASSORTEDSWEETBREAD", "item_value": "0.58", "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
[[[[1081.0, 301.0], [1169.0, 301.0], [1169.0, 345.0], [1081.0, 345.0]], ('C', 0.7608720660209656)], [[[672.0, 869.0], [1368.0, 885.0], [1366.0, 958.0], [670.0, 943.0]], ('Hannaford Food & Drug', 0.9634295701980591)], [[[345.0, 932.0], [1631.0, 947.0], [1631.0, 1020.0], [344.0, 1005.0]], ('290 North Main St -Rochester NH 03867', 0.9411497116088867)], [[[444.0, 998.0], [1569.0, 1017.0], [1568.0, 1090.0], [443.0, 1071.0]], ('603)332-9580-www.hannaford.com', 0.9676231145858765)], [[[345.0, 1200.0], [579.0, 1200.0], [579.0, 1266.0], [345.0, 1266.0]], ('GROCERY', 0.9976625442504883)], [[[404.0, 1266.0], [1074.0, 1277.0], [1073.0, 1340.0], [403.0, 1328.0]], ('FLGRS FRNCH CAN 10.3', 0.9110716581344604)], [[[1389.0, 1277.0], [1543.0, 1277.0], [1543.0, 1358.0], [1389.0, 1358.0]], ('3.99', 0.9965869188308716)], [[[404.0, 1336.0], [1071.0, 1343.0], [1070.0, 1409.0], [403.0, 1402.0]], ('HRD 94% FF MICRO POP', 0.8807199597358704)], [[[411.0, 1406.0], [777.0, 1406.0], [777.0, 1468.0], [411.0, 1468.0]], ('1@2FOR', 0.9841359257698059)], [[[968.0, 1413.0], [1103.0, 1413.0], [1103.0, 1468.0], [968.0, 1468.0]], ('4.00', 0.9906864762306213)], [[[1389.0, 1406.0], [1539.0, 1406.0], [1539.0, 1486.0], [1389.0, 1486.0]], ('2.00', 0.9964491724967957)], [[[1624.0, 1417.0], [1668.0, 1417.0], [1668.0, 1475.0], [1624.0, 1475.0]], ('*', 0.8111216425895691)], [[[404.0, 1464.0], [975.0, 1472.0], [974.0, 1534.0], [403.0, 1526.0]], ('HRD LENTILS DRIED', 0.962419867515564)], [[[1397.0, 1475.0], [1539.0, 1475.0], [1539.0, 1545.0], [1397.0, 1545.0]], ('1.39', 0.9968701004981995)], [[[1627.0, 1479.0], [1671.0, 1479.0], [1671.0, 1538.0], [1627.0, 1538.0]], ('*', 0.843018114566803)], [[[407.0, 1534.0], [905.0, 1534.0], [905.0, 1596.0], [407.0, 1596.0]], ('POLANER BLKCHRY', 0.9710933566093445)], [[[1397.0, 1534.0], [1543.0, 1534.0], [1543.0, 1615.0], [1397.0, 1615.0]], ('1.99', 0.9960544109344482)], [[[400.0, 1596.0], [1001.0, 1600.0], [1000.0, 1663.0], [399.0, 1659.0]], ('DME QUICK OATS 18Z', 0.9167187213897705)], [[[1397.0, 1600.0], [1547.0, 1600.0], [1547.0, 1681.0], [1397.0, 1681.0]], ('1.69', 0.9881619215011597)], [[[1627.0, 1611.0], [1671.0, 1611.0], [1671.0, 1673.0], [1627.0, 1673.0]], ('*', 0.702000081539154)], [[[400.0, 1662.0], [1071.0, 1670.0], [1070.0, 1736.0], [399.0, 1728.0]], ('DME CRNCHY PNT BUTTR', 0.9474854469299316)], [[[1393.0, 1666.0], [1550.0, 1666.0], [1550.0, 1747.0], [1393.0, 1747.0]], ('2.19', 0.9928961396217346)], [[[1627.0, 1677.0], [1671.0, 1677.0], [1671.0, 1732.0], [1627.0, 1732.0]], ('*', 0.8055084943771362)], [[[321.0, 1789.0], [472.0, 1778.0], [478.0, 1863.0], [327.0, 1873.0]], ('MEAT', 0.9976862668991089)], [[[392.0, 1868.0], [1008.0, 1868.0], [1008.0, 1941.0], [392.0, 1941.0]], ('DME IQF CKN TENDER', 0.9379366636276245)], [[[1397.0, 1868.0], [1550.0, 1868.0], [1550.0, 1949.0], [1397.0, 1949.0]], ('6.99', 0.9939550161361694)], [[[1642.0, 1886.0], [1675.0, 1886.0], [1675.0, 1934.0], [1642.0, 1934.0]], ('*', 0.8094887733459473)], [[[323.0, 1996.0], [572.0, 1996.0], [572.0, 2077.0], [323.0, 2077.0]], ('PRODUCE', 0.9975679516792297)], [[[392.0, 2073.0], [638.0, 2073.0], [638.0, 2139.0], [392.0, 2139.0]], ('BANANAS', 0.9955056309700012)], [[[856.0, 2135.0], [1152.0, 2144.0], [1149.0, 2221.0], [853.0, 2212.0]], ('0.37/1b', 0.9735109210014343)], [[[392.0, 2147.0], [707.0, 2147.0], [707.0, 2209.0], [392.0, 2209.0]], ('1.081b', 0.9491346478462219)], [[[1408.0, 2147.0], [1558.0, 2147.0], [1558.0, 2217.0], [1408.0, 2217.0]], ('0.40', 0.9916790723800659)], [[[1646.0, 2150.0], [1693.0, 2150.0], [1693.0, 2209.0], [1646.0, 2209.0]], ('*', 0.8151089549064636)], [[[386.0, 2198.0], [913.0, 2210.0], [912.0, 2287.0], [384.0, 2275.0]], ('GREEN CUCUMBERS', 0.9646069407463074)], [[[1411.0, 2213.0], [1561.0, 2213.0], [1561.0, 2283.0], [1411.0, 2283.0]], ('0.50', 0.9844403266906738)], [[[1649.0, 2220.0], [1701.0, 2220.0], [1701.0, 2279.0], [1649.0, 2279.0]], ('*', 0.7754846811294556)], [[[385.0, 2283.0], [839.0, 2283.0], [839.0, 2345.0], [385.0, 2345.0]], ('BUNCH SPINACH', 0.973376989364624)], [[[1411.0, 2275.0], [1565.0, 2275.0], [1565.0, 2356.0], [1411.0, 2356.0]], ('1.59', 0.9903044700622559)], [[[1653.0, 2286.0], [1701.0, 2286.0], [1701.0, 2352.0], [1653.0, 2352.0]], ('*', 0.8688307404518127)], [[[385.0, 2345.0], [876.0, 2345.0], [876.0, 2418.0], [385.0, 2418.0]], ('SWEET POTATOES', 0.976362407207489)], [[[392.0, 2418.0], [711.0, 2418.0], [711.0, 2481.0], [392.0, 2481.0]], ('1.051b', 0.9530040621757507)], [[[858.0, 2418.0], [1151.0, 2418.0], [1151.0, 2484.0], [858.0, 2484.0]], ('0.69/1b', 0.9771370887756348)], [[[1415.0, 2411.0], [1572.0, 2411.0], [1572.0, 2495.0], [1415.0, 2495.0]], ('0.72', 0.99462890625)], [[[1657.0, 2422.0], [1708.0, 2422.0], [1708.0, 2481.0], [1657.0, 2481.0]], ('*', 0.9005709886550903)], [[[385.0, 2488.0], [1048.0, 2488.0], [1048.0, 2551.0], [385.0, 2551.0]], ('GRANNY SMITH APPLES', 0.9645164012908936)], [[[381.0, 2558.0], [711.0, 2558.0], [711.0, 2620.0], [381.0, 2620.0]], ('0.811b', 0.9453880190849304)], [[[854.0, 2554.0], [1158.0, 2554.0], [1158.0, 2631.0], [854.0, 2631.0]], ('0.99/1b', 0.9879981875419617)], [[[1419.0, 2551.0], [1580.0, 2551.0], [1580.0, 2631.0], [1419.0, 2631.0]], ('0.80', 0.9950556755065918)], [[[378.0, 2624.0], [880.0, 2624.0], [880.0, 2697.0], [378.0, 2697.0]], ('BARTLETT PEARS', 0.9757469892501831)], [[[861.0, 2694.0], [1158.0, 2694.0], [1158.0, 2771.0], [861.0, 2771.0]], ('0.99/1b', 0.9874051213264465)], [[[1430.0, 2690.0], [1587.0, 2690.0], [1587.0, 2774.0], [1430.0, 2774.0]], ('1.10', 0.993721067905426)], [[[381.0, 2701.0], [707.0, 2701.0], [707.0, 2763.0], [381.0, 2763.0]], ('1.111b', 0.8718442320823669)], [[[1679.0, 2701.0], [1723.0, 2701.0], [1723.0, 2763.0], [1679.0, 2763.0]], ('*', 0.8900414109230042)], [[[378.0, 2771.0], [1085.0, 2771.0], [1085.0, 2833.0], [378.0, 2833.0]], ('RED TOMATOES ON VINE', 0.9496698379516602)], [[[381.0, 2840.0], [704.0, 2840.0], [704.0, 2892.0], [381.0, 2892.0]], ('0.691b', 0.8812444806098938)], [[[858.0, 2840.0], [1155.0, 2840.0], [1155.0, 2906.0], [858.0, 2906.0]], ('1.69/1b', 0.9767903089523315)], [[[1437.0, 2833.0], [1583.0, 2833.0], [1583.0, 2903.0], [1437.0, 2903.0]], ('1.17', 0.9917421340942383)], [[[1679.0, 2837.0], [1723.0, 2837.0], [1723.0, 2899.0], [1679.0, 2899.0]], ('*', 0.8533422946929932)], [[[374.0, 2899.0], [799.0, 2899.0], [799.0, 2962.0], [374.0, 2962.0]], ('RADISHES 1LB', 0.9595656394958496)], [[[1433.0, 2899.0], [1580.0, 2899.0], [1580.0, 2969.0], [1433.0, 2969.0]], ('1.49', 0.993031919002533)], [[[1671.0, 2903.0], [1723.0, 2903.0], [1723.0, 2965.0], [1671.0, 2965.0]], ('*', 0.8913263082504272)], [[[304.0, 3028.0], [556.0, 3020.0], [558.0, 3086.0], [306.0, 3094.0]], ('SEAFOOD', 0.9953200221061707)], [[[370.0, 3097.0], [1037.0, 3097.0], [1037.0, 3171.0], [370.0, 3171.0]], ('ATLANTIC SALM FILLT', 0.9681662321090698)], [[[1410.0, 3099.0], [1573.0, 3089.0], [1578.0, 3169.0], [1415.0, 3179.0]], ('6.79', 0.9911326766014099)], [[[1664.0, 3105.0], [1708.0, 3105.0], [1708.0, 3160.0], [1664.0, 3160.0]], ('*', 0.939989447593689)], [[[1411.0, 3160.0], [1572.0, 3160.0], [1572.0, 3240.0], [1411.0, 3240.0]], ('0.00', 0.9981459379196167)], [[[312.0, 3171.0], [630.0, 3171.0], [630.0, 3237.0], [312.0, 3237.0]], ('TOTAL TAX', 0.9449442625045776)], [[[1364.0, 3358.0], [1572.0, 3358.0], [1572.0, 3505.0], [1364.0, 3505.0]], ('34.80', 0.8915179371833801)], [[[340.0, 3370.0], [841.0, 3361.0], [844.0, 3500.0], [343.0, 3509.0]], ('16 BALANCE DUE', 0.9139994978904724)]]
{"store_name": "HannafordFood&Drug Hannaford", "store_addr": "290NorthMainSt-RochesterNH03867", "telephone": "(603)332-9580-www.hannaford.com", "date": "", "time": "", "subtotal": "", "tax": "0.00", "total": "34.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ATLANTICSALMFILLT", "item_value": "6.79", "item_quantity": "1"}, {"item_key": "", "item_name": "RADISHES1LB", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "REDTOMATOESONVINE", "item_value": "1.17", "item_quantity": "1"}, {"item_key": "", "item_name": "BARTLETTPEARS", "item_value": "1.10", "item_quantity": "1"}, {"item_key": "", "item_name": "GRANNYSMITHAPPLES", "item_value": "0.80", "item_quantity": "1"}, {"item_key": "", "item_name": "SWEETPOTATOES", "item_value": "0.72", "item_quantity": "1"}, {"item_key": "", "item_name": "BUNCHSPINACH", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "GREENCUCUMBERS", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANAS", "item_value": "0.40", "item_quantity": "1"}, {"item_key": "", "item_name": "DMEIQFCKNTENDER", "item_value": "6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DMECRNCHYPNTBUTTR", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "DMEQUICKOATS18Z", "item_value": "1.69", "item_quantity": "1"}, {"item_key": "", "item_name": "POLANERBLKCHRY", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "HRDLENTILSDRIED", "item_value": "1.33", "item_quantity": "1"}, {"item_key": "", "item_name": "HRD94%FFMICROPOP", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FLGRSFRNCHCAN10.3", "item_value": "3.99", "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
[[[[103.0, 52.0], [173.0, 54.0], [172.0, 71.0], [102.0, 69.0]], ("Mr.Lucky's", 0.8858572244644165)], [[[40.0, 65.0], [98.0, 69.0], [97.0, 84.0], [39.0, 80.0]], ('6/18/2013', 0.9960104823112488)], [[[202.0, 69.0], [235.0, 69.0], [235.0, 84.0], [202.0, 84.0]], ('20:51', 0.932135283946991)], [[[105.0, 97.0], [166.0, 97.0], [166.0, 111.0], [105.0, 111.0]], ("Mr Lucky's", 0.8848263025283813)], [[[39.0, 107.0], [133.0, 110.0], [133.0, 127.0], [38.0, 124.0]], ('Check:1174759', 0.9488462209701538)], [[[157.0, 108.0], [229.0, 111.0], [228.0, 128.0], [157.0, 125.0]], ('fable23ML', 0.8245890736579895)], [[[39.0, 121.0], [131.0, 125.0], [131.0, 142.0], [38.0, 138.0]], ('Server:Anthony', 0.9632765650749207)], [[[39.0, 136.0], [121.0, 139.0], [120.0, 156.0], [38.0, 154.0]], ('Terminal114', 0.9280180335044861)], [[[157.0, 127.0], [213.0, 127.0], [213.0, 141.0], [157.0, 141.0]], ('Guests:2', 0.9501913785934448)], [[[105.0, 167.0], [167.0, 169.0], [166.0, 184.0], [104.0, 182.0]], ("MR Lucky's", 0.8867940902709961)], [[[78.0, 181.0], [149.0, 183.0], [149.0, 197.0], [77.0, 195.0]], ('I soft drink', 0.8881528973579407)], [[[207.0, 181.0], [235.0, 181.0], [235.0, 197.0], [207.0, 197.0]], ('2.99', 0.9907737970352173)], [[[77.0, 195.0], [149.0, 196.0], [149.0, 210.0], [77.0, 209.0]], ('1 soft drink', 0.9031392931938171)], [[[89.0, 210.0], [150.0, 210.0], [150.0, 224.0], [89.0, 224.0]], ('Stk/shr', 0.9395619034767151)], [[[207.0, 209.0], [235.0, 209.0], [235.0, 224.0], [207.0, 224.0]], ('7.77', 0.9786490797996521)], [[[88.0, 224.0], [110.0, 224.0], [110.0, 239.0], [88.0, 239.0]], ('Dry', 0.993023157119751)], [[[77.0, 236.0], [150.0, 238.0], [150.0, 252.0], [76.0, 250.0]], ('1Stk/shri', 0.8836272358894348)], [[[208.0, 238.0], [216.0, 238.0], [216.0, 249.0], [208.0, 249.0]], ('7', 0.9041216373443604)], [[[87.0, 251.0], [110.0, 251.0], [110.0, 267.0], [87.0, 267.0]], ('Dry', 0.9928528666496277)], [[[101.0, 279.0], [149.0, 279.0], [149.0, 293.0], [101.0, 293.0]], ('Subtotal', 0.9879368543624878)], [[[191.0, 278.0], [223.0, 278.0], [223.0, 292.0], [191.0, 292.0]], ('21.52', 0.9832666516304016)], [[[130.0, 294.0], [149.0, 294.0], [149.0, 306.0], [130.0, 306.0]], ('Tax', 0.9690700173377991)], [[[193.0, 291.0], [224.0, 291.0], [224.0, 306.0], [193.0, 306.0]], ('1.74', 0.9475651383399963)], [[[118.0, 306.0], [150.0, 306.0], [150.0, 321.0], [118.0, 321.0]], ('Tudl', 0.741558313369751)], [[[191.0, 304.0], [224.0, 304.0], [224.0, 319.0], [191.0, 319.0]], ('23.26', 0.9836252331733704)], [[[89.0, 380.0], [124.0, 380.0], [124.0, 395.0], [89.0, 395.0]], ('Tip$', 0.9386101365089417)], [[[90.0, 407.0], [123.0, 410.0], [122.0, 426.0], [89.0, 424.0]], ('Total', 0.9814899563789368)]]
{"store_name": "MrLucky's Mr.Lucky's", "store_addr": "", "telephone": "", "date": "6/18/2013", "time": "20:51", "subtotal": "21.52", "tax": "1.74", "total": "23.26", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Stk/shrimp", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Stk/shrimp", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "softdrink", "item_value": "7.77", "item_quantity": "1"}, {"item_key": "", "item_name": "softdrink", "item_value": "7", "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
[[[[727.0, 93.0], [954.0, 99.0], [953.0, 145.0], [726.0, 140.0]], ('Stop&Shopr', 0.8776192665100098)], [[[752.0, 168.0], [927.0, 174.0], [926.0, 202.0], [751.0, 196.0]], ('CP3SP#089', 0.7462599873542786)], [[[767.0, 193.0], [907.0, 199.0], [906.0, 224.0], [766.0, 218.0]], ('AST. MA', 0.7902698516845703)], [[[781.0, 215.0], [895.0, 219.0], [894.0, 242.0], [780.0, 238.0]], ('77316', 0.8986980319023132)], [[[723.0, 240.0], [955.0, 240.0], [955.0, 263.0], [723.0, 263.0]], ('.STOASHOP.COM', 0.8686091303825378)], [[[599.0, 288.0], [729.0, 296.0], [727.0, 319.0], [598.0, 311.0]], ('Tra 2959', 0.8516541719436646)], [[[868.0, 282.0], [1059.0, 271.0], [1060.0, 295.0], [869.0, 306.0]], ('238pm7/16/12', 0.9479596614837646)], [[[740.0, 302.0], [832.0, 302.0], [832.0, 320.0], [740.0, 320.0]], ('lerminal', 0.5955532789230347)], [[[866.0, 299.0], [1064.0, 288.0], [1066.0, 315.0], [868.0, 326.0]], ('3 Cash er C0133', 0.8400526642799377)], [[[900.0, 336.0], [1027.0, 328.0], [1029.0, 351.0], [901.0, 359.0]], ('1099900001', 0.8943623304367065)], [[[596.0, 350.0], [696.0, 357.0], [694.0, 381.0], [594.0, 373.0]], ('PRODUCE', 0.8995537757873535)], [[[806.0, 377.0], [943.0, 371.0], [944.0, 400.0], [807.0, 406.0]], ('199/11E', 0.7601550817489624)], [[[594.0, 395.0], [761.0, 406.0], [759.0, 429.0], [593.0, 418.0]], ('APPIE REDEL', 0.7873818874359131)], [[[975.0, 397.0], [1062.0, 393.0], [1064.0, 423.0], [976.0, 427.0]], ('0.88*', 0.8623730540275574)], [[[654.0, 423.0], [774.0, 429.0], [773.0, 454.0], [653.0, 448.0]], ('9', 0.6060795783996582)], [[[807.0, 425.0], [943.0, 425.0], [943.0, 448.0], [807.0, 448.0]], ('039/11E', 0.6276375651359558)], [[[591.0, 445.0], [687.0, 451.0], [686.0, 476.0], [590.0, 470.0]], ('BANANA', 0.8560986518859863)], [[[978.0, 448.0], [1067.0, 448.0], [1067.0, 477.0], [978.0, 477.0]], ('0.34*', 0.8863228559494019)], [[[587.0, 470.0], [685.0, 474.0], [684.0, 502.0], [586.0, 498.0]], ('SPINACH', 0.9957485198974609)], [[[980.0, 477.0], [1067.0, 477.0], [1067.0, 500.0], [980.0, 500.0]], ('1.99*', 0.8728168606758118)], [[[667.0, 503.0], [767.0, 503.0], [767.0, 527.0], [667.0, 527.0]], ('Suototel', 0.7683985233306885)], [[[970.0, 503.0], [1040.0, 503.0], [1040.0, 528.0], [970.0, 528.0]], ('83.21', 0.9107387661933899)], [[[667.0, 527.0], [733.0, 527.0], [733.0, 557.0], [667.0, 557.0]], ('ota', 0.7076703906059265)], [[[970.0, 530.0], [1040.0, 530.0], [1040.0, 555.0], [970.0, 555.0]], ('$3.21', 0.9065523147583008)], [[[972.0, 557.0], [1042.0, 557.0], [1042.0, 582.0], [972.0, 582.0]], ('$3.21', 0.8368999361991882)], [[[665.0, 584.0], [745.0, 584.0], [745.0, 609.0], [665.0, 609.0]], ('Change', 0.8357672691345215)], [[[973.0, 582.0], [1043.0, 582.0], [1043.0, 607.0], [973.0, 607.0]], ('$0.00', 0.9875409007072449)], [[[564.0, 627.0], [1077.0, 632.0], [1076.0, 660.0], [563.0, 655.0]], ('THANK FOR SHOT AT STOP SSHOP', 0.8699847459793091)], [[[563.0, 655.0], [1022.0, 659.0], [1022.0, 687.0], [563.0, 683.0]], ("WE'VIE ENIDYEC SERVIRG YOU. AND WE", 0.8151509165763855)], [[[562.0, 684.0], [1012.0, 685.0], [1012.0, 714.0], [562.0, 712.0]], ('LOOK FORYARD O SERYNG ALL YOUR', 0.8500108122825623)], [[[560.0, 710.0], [869.0, 715.0], [868.0, 744.0], [560.0, 738.0]], ('FJTURE SHOPPING NEEES.', 0.9115273952484131)], [[[558.0, 797.0], [945.0, 799.0], [945.0, 827.0], [558.0, 825.0]], ('STEVIE F_ESTORMANAGER', 0.8297861218452454)], [[[557.0, 854.0], [1017.0, 850.0], [1017.0, 880.0], [557.0, 884.0]], ('63OCOHSSCIS', 0.5967251062393188)], [[[548.0, 937.0], [1076.0, 920.0], [1077.0, 948.0], [549.0, 966.0]], ('EARN GAS REWAFDS PIS -OR QUALFYING', 0.8188629150390625)], [[[543.0, 964.0], [1068.0, 945.0], [1069.0, 972.0], [544.0, 991.0]], ('PRCASSPIS EXPIF DAYS FPOM', 0.7812995910644531)], [[[541.0, 991.0], [1131.0, 965.0], [1132.0, 993.0], [542.0, 1019.0]], ('DATE EEDDATE F RCSE IS DAY 1', 0.7557482719421387)], [[[538.0, 1017.0], [1106.0, 995.0], [1107.0, 1025.0], [539.0, 1047.0]], ('PIS.A SWGED AMN YOUR HOKEHOLD', 0.7160141468048096)], [[[603.0, 1042.0], [1034.0, 1025.0], [1035.0, 1053.0], [604.0, 1066.0]], ('LVDLO COATDETAS', 0.5158526301383972)]]
{"store_name": "Stop&Shop", "store_addr": "", "telephone": "", "date": "7/16/12", "time": "2:38pm", "subtotal": "$3.21", "tax": "", "total": "$3.21 $3.21", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BANANAS", "item_value": "0.88", "item_quantity": "1"}, {"item_key": "", "item_name": "SPINACH", "item_value": "0.34", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[19.0, 32.0], [53.0, 38.0], [50.0, 49.0], [17.0, 43.0]], ('RAY K', 0.8667794466018677)], [[[15.0, 51.0], [94.0, 62.0], [92.0, 79.0], [13.0, 68.0]], ('2 FRENCH ONION', 0.9415582418441772)], [[[202.0, 52.0], [229.0, 49.0], [231.0, 64.0], [203.0, 67.0]], ('7.50', 0.9921821355819702)], [[[15.0, 64.0], [83.0, 75.0], [80.0, 89.0], [13.0, 78.0]], ('1 ON THE FLY', 0.8916466236114502)], [[[14.0, 74.0], [77.0, 86.0], [75.0, 100.0], [12.0, 89.0]], ('1MISC.DEL', 0.9813143610954285)], [[[202.0, 66.0], [230.0, 62.0], [232.0, 77.0], [204.0, 81.0]], ('0.00', 0.9972413778305054)], [[[203.0, 90.0], [231.0, 88.0], [233.0, 103.0], [204.0, 106.0]], ('9.60', 0.961015522480011)], [[[10.0, 100.0], [85.0, 109.0], [83.0, 124.0], [8.0, 115.0]], ('1MISC.FILET', 0.9616842269897461)], [[[24.0, 115.0], [116.0, 123.0], [114.0, 138.0], [23.0, 129.0]], ('$ amount.8.00', 0.8816171288490295)], [[[24.0, 127.0], [83.0, 134.0], [81.0, 148.0], [22.0, 141.0]], ('dont b-f1y', 0.9142332077026367)], [[[109.0, 124.0], [151.0, 124.0], [151.0, 138.0], [109.0, 138.0]], ('1.55', 0.9124477505683899)], [[[5.0, 139.0], [82.0, 147.0], [81.0, 161.0], [3.0, 153.0]], ('1 PASTA SALAD', 0.9182656407356262)], [[[201.0, 130.0], [235.0, 128.0], [236.0, 143.0], [202.0, 146.0]], ('12.40', 0.9948762655258179)], [[[1.0, 153.0], [87.0, 161.0], [86.0, 175.0], [0.0, 168.0]], ('1 GARLIC BREAD', 0.9519858956336975)], [[[206.0, 145.0], [235.0, 145.0], [235.0, 160.0], [206.0, 160.0]], ('1.75', 0.9899411201477051)], [[[207.0, 159.0], [236.0, 159.0], [236.0, 175.0], [207.0, 175.0]], ('0.60', 0.9810240268707275)], [[[127.0, 189.0], [190.0, 189.0], [190.0, 206.0], [127.0, 206.0]], ('Sub Total', 0.9516935348510742)], [[[203.0, 189.0], [238.0, 189.0], [238.0, 204.0], [203.0, 204.0]], ('31.85', 0.9955633282661438)], [[[155.0, 206.0], [189.0, 206.0], [189.0, 221.0], [155.0, 221.0]], ('Tax:', 0.8600579500198364)], [[[208.0, 205.0], [240.0, 205.0], [240.0, 222.0], [208.0, 222.0]], ('1.91', 0.9229670763015747)], [[[128.0, 217.0], [193.0, 221.0], [192.0, 238.0], [127.0, 234.0]], ('Sub Total', 0.9268463850021362)], [[[0.0, 229.0], [140.0, 233.0], [139.0, 248.0], [0.0, 245.0]], ('1/2415:58TOTAL', 0.9443381428718567)], [[[204.0, 221.0], [241.0, 221.0], [241.0, 238.0], [204.0, 238.0]], ('33.76', 0.9943298101425171)], [[[175.0, 236.0], [240.0, 238.0], [240.0, 249.0], [175.0, 249.0]], ('33.76', 0.9978167414665222)]]
{"store_name": "", "store_addr": "14726GRATIOTDETROITMI", "telephone": "", "date": "01/24/15", "time": "15:58", "subtotal": "31.85", "tax": "1.91", "total": "33.76", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FRENCHONION", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ONTHEFLY", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MISC.DEL.", "item_value": "9.60", "item_quantity": "1"}, {"item_key": "", "item_name": "MISC.FILET.", "item_value": "12.40", "item_quantity": "1"}, {"item_key": "", "item_name": "PASTASALAD", "item_value": "1.75", "item_quantity": "1"}, {"item_key": "", "item_name": "GARLICBREAD", "item_value": "0.60", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[210.0, 36.0], [462.0, 36.0], [462.0, 54.0], [210.0, 54.0]], ('Subway#15936-0 Phone 608-758-4560', 0.961162269115448)], [[[270.0, 56.0], [397.0, 56.0], [397.0, 74.0], [270.0, 74.0]], ('642 Midland road', 0.9516071677207947)], [[[251.0, 74.0], [421.0, 73.0], [421.0, 91.0], [251.0, 92.0]], ('janesvilleWI53546', 0.906204879283905)], [[[192.0, 91.0], [479.0, 93.0], [479.0, 112.0], [192.0, 109.0]], ('Served by:Ar1e1 9/30/2017 2:46:40 pm', 0.8868604898452759)], [[[240.0, 110.0], [434.0, 111.0], [434.0, 129.0], [240.0, 128.0]], ('Term ID-Trans# 1/A-233932', 0.9532217383384705)], [[[170.0, 144.0], [276.0, 147.0], [275.0, 168.0], [169.0, 164.0]], ('Qty Size Item', 0.9498676657676697)], [[[439.0, 144.0], [484.0, 147.0], [483.0, 167.0], [437.0, 164.0]], ('Price', 0.9954215288162231)], [[[188.0, 185.0], [197.0, 185.0], [197.0, 199.0], [188.0, 199.0]], ('1', 0.9176160097122192)], [[[214.0, 182.0], [406.0, 186.0], [406.0, 207.0], [214.0, 204.0]], ('6Seafood Sensation Sub', 0.9719275832176208)], [[[447.0, 182.0], [484.0, 182.0], [484.0, 202.0], [447.0, 202.0]], ('4.79', 0.9755796194076538)], [[[252.0, 203.0], [485.0, 200.0], [485.0, 221.0], [253.0, 224.0]], ('Seafood Sensation Extr6 1.50', 0.9605349898338318)], [[[189.0, 224.0], [199.0, 224.0], [199.0, 240.0], [189.0, 240.0]], ('1', 0.7661489248275757)], [[[251.0, 222.0], [485.0, 219.0], [485.0, 239.0], [252.0, 243.0]], ('-Fresh Value Meal 21-12.70', 0.91368567943573)], [[[251.0, 243.0], [422.0, 243.0], [422.0, 260.0], [251.0, 260.0]], ('-21oz Fountain Drink', 0.9318116307258606)], [[[250.0, 261.0], [315.0, 261.0], [315.0, 279.0], [250.0, 279.0]], ('-Chips', 0.9141218662261963)], [[[189.0, 278.0], [407.0, 278.0], [407.0, 296.0], [189.0, 296.0]], ('112Seafood Sensation Sub', 0.9652730822563171)], [[[450.0, 276.0], [485.0, 276.0], [485.0, 296.0], [450.0, 296.0]], ('7.79', 0.9925686120986938)], [[[255.0, 297.0], [484.0, 295.0], [484.0, 312.0], [255.0, 315.0]], ('Seafood Sensation ExtrFT 3.00', 0.9398849010467529)], [[[251.0, 314.0], [486.0, 314.0], [486.0, 334.0], [251.0, 334.0]], ('-Fresh Value Mea1 21-12.70', 0.9251176118850708)], [[[255.0, 332.0], [422.0, 336.0], [422.0, 353.0], [254.0, 350.0]], ('-21oz Fountain Drink', 0.9501630067825317)], [[[249.0, 349.0], [316.0, 354.0], [314.0, 371.0], [248.0, 366.0]], ('-Chips', 0.979417085647583)], [[[168.0, 389.0], [244.0, 387.0], [244.0, 406.0], [169.0, 407.0]], ('Sub Total', 0.8926535844802856)], [[[445.0, 389.0], [487.0, 389.0], [487.0, 407.0], [445.0, 407.0]], ('22.48', 0.9953155517578125)], [[[169.0, 408.0], [296.0, 408.0], [296.0, 426.0], [169.0, 426.0]], ('sales tax 5.5%', 0.9468197822570801)], [[[450.0, 406.0], [488.0, 406.0], [488.0, 426.0], [450.0, 426.0]], ('1.24', 0.9912896156311035)], [[[170.0, 427.0], [283.0, 427.0], [283.0, 445.0], [170.0, 445.0]], ('Total Eat In', 0.9303955435752869)], [[[446.0, 426.0], [488.0, 426.0], [488.0, 445.0], [446.0, 445.0]], ('23.72', 0.9966252446174622)], [[[169.0, 447.0], [260.0, 447.0], [260.0, 465.0], [169.0, 465.0]], ('Credit Card', 0.976464033126831)], [[[446.0, 445.0], [489.0, 445.0], [489.0, 464.0], [446.0, 464.0]], ('23.72', 0.9963410496711731)], [[[169.0, 464.0], [223.0, 468.0], [222.0, 487.0], [168.0, 483.0]], ('Change', 0.9972475171089172)], [[[453.0, 464.0], [490.0, 464.0], [490.0, 483.0], [453.0, 483.0]], ('0.00', 0.9954844117164612)], [[[168.0, 484.0], [377.0, 483.0], [377.0, 504.0], [168.0, 505.0]], ('Call us with your Comments', 0.9578187465667725)], [[[170.0, 505.0], [324.0, 505.0], [324.0, 523.0], [170.0, 523.0]], ('Phone 800888-4848', 0.9709426760673523)], [[[210.0, 525.0], [362.0, 523.0], [362.0, 541.0], [210.0, 543.0]], ('Approva1 No:004156', 0.9207401275634766)], [[[201.0, 544.0], [408.0, 543.0], [408.0, 560.0], [201.0, 561.0]], ('Reference No727319320341', 0.9730580449104309)], [[[212.0, 566.0], [346.0, 566.0], [346.0, 580.0], [212.0, 580.0]], ('Card Issuer Visa', 0.9493876695632935)], [[[217.0, 583.0], [442.0, 581.0], [442.0, 599.0], [217.0, 601.0]], ('Account No************9398', 0.9583247303962708)], [[[235.0, 601.0], [402.0, 601.0], [402.0, 619.0], [235.0, 619.0]], ('Acquired:Contact_EMV', 0.9484350085258484)], [[[250.0, 622.0], [363.0, 622.0], [363.0, 640.0], [250.0, 640.0]], ('Amount$23.72', 0.9944894909858704)], [[[210.0, 644.0], [404.0, 641.0], [404.0, 658.0], [210.0, 662.0]], ('Application: Visa Credit', 0.9317002296447754)], [[[274.0, 662.0], [427.0, 662.0], [427.0, 680.0], [274.0, 680.0]], ('AID:A0000000031010', 0.9502473473548889)], [[[274.0, 682.0], [396.0, 682.0], [396.0, 700.0], [274.0, 700.0]], ('TVR:8080008000', 0.9652643203735352)], [[[272.0, 702.0], [347.0, 702.0], [347.0, 720.0], [272.0, 720.0]], ('TSI6800', 0.9852681756019592)], [[[226.0, 725.0], [477.0, 722.0], [477.0, 740.0], [226.0, 743.0]], ('Date/Time:9/30/20172:46:32PM', 0.9389146566390991)], [[[271.0, 803.0], [381.0, 806.0], [380.0, 827.0], [270.0, 824.0]], ('CUSTOMER COPY', 0.9675261378288269)], [[[161.0, 869.0], [407.0, 863.0], [407.0, 889.0], [161.0, 895.0]], ('Host Order ID:746-106-832098', 0.9392744302749634)], [[[162.0, 910.0], [481.0, 908.0], [482.0, 933.0], [162.0, 935.0]], ('Thanks for visiting Subway.Please let', 0.9592283964157104)], [[[161.0, 955.0], [475.0, 952.0], [475.0, 974.0], [161.0, 977.0]], ('1 minute survey at www.tellsubway.com', 0.9657998085021973)]]
{"store_name": "Subway#15936-0", "store_addr": "642Midlandroad janesville,WI,53546", "telephone": "608-758-4560", "date": "9/30/2017 9/30/2017", "time": "2:46:40pm", "subtotal": "22.48", "tax": "1.24", "total": "23.72 23.72 $23.72", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SeafoodSensationSub", "item_value": "4.79", "item_quantity": "1"}, {"item_key": "", "item_name": "-SeafoodSensationExtr6", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "-FreshValueMeal(21-1)", "item_value": "2.70", "item_quantity": "1"}, {"item_key": "", "item_name": "--21ozFountainDrink", "item_value": "7.79", "item_quantity": "1"}, {"item_key": "", "item_name": "--Chips", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SeafoodSensationSub", "item_value": "2.70", "item_quantity": "1"}, {"item_key": "", "item_name": "-SeafoodSensationExtrFT", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "-FreshValueMeal(21-1)", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "--21ozFountainDrink", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "--Chips", "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
[[[[76.0, 69.0], [263.0, 105.0], [260.0, 122.0], [73.0, 86.0]], ('Los Angeles Int] Airport', 0.9379269480705261)], [[[122.0, 68.0], [226.0, 87.0], [224.0, 100.0], [119.0, 81.0]], ("Malibu Al's T5", 0.8572225570678711)], [[[145.0, 60.0], [200.0, 69.0], [198.0, 83.0], [143.0, 74.0]], ('HMSHost', 0.8726181387901306)], [[[48.0, 90.0], [120.0, 103.0], [117.0, 117.0], [46.0, 104.0]], ('9370 DIANA', 0.9481004476547241)], [[[41.0, 114.0], [86.0, 123.0], [83.0, 138.0], [38.0, 129.0]], ('53/1', 0.9947863221168518)], [[[92.0, 138.0], [157.0, 151.0], [153.0, 168.0], [89.0, 154.0]], ("JAN24'13", 0.9208135604858398)], [[[147.0, 136.0], [210.0, 150.0], [206.0, 166.0], [144.0, 152.0]], ('6789', 0.9719459414482117)], [[[165.0, 155.0], [217.0, 165.0], [214.0, 182.0], [162.0, 172.0]], ('5:17PM', 0.9194722175598145)], [[[240.0, 157.0], [280.0, 166.0], [280.0, 184.0], [236.0, 175.0]], ('GST 2', 0.8904241323471069)], [[[32.0, 180.0], [172.0, 215.0], [169.0, 231.0], [29.0, 196.0]], ('1 BIG SAM ADAMS DR', 0.8632502555847168)], [[[81.0, 179.0], [207.0, 208.0], [204.0, 222.0], [78.0, 193.0]], ('**SEAT1 ****', 0.7916576266288757)], [[[23.0, 208.0], [111.0, 230.0], [107.0, 246.0], [19.0, 224.0]], ('1 BLUE MOON', 0.8570878505706787)], [[[56.0, 201.0], [154.0, 226.0], [150.0, 242.0], [52.0, 216.0]], ('NO SIDE SHOT', 0.9480752944946289)], [[[47.0, 228.0], [144.0, 253.0], [139.0, 271.0], [43.0, 246.0]], ('NO SIDE SHOT', 0.9380316138267517)], [[[207.0, 224.0], [247.0, 231.0], [243.0, 249.0], [204.0, 241.0]], ('8.49', 0.9940630793571472)], [[[11.0, 235.0], [70.0, 251.0], [66.0, 269.0], [6.0, 252.0]], ('3 MATER', 0.8553876876831055)], [[[8.0, 251.0], [128.0, 283.0], [124.0, 299.0], [4.0, 267.0]], ('I CRAN SPRG MIX', 0.8716670870780945)], [[[202.0, 254.0], [240.0, 263.0], [236.0, 281.0], [198.0, 272.0]], ('7.99', 0.9970970153808594)], [[[15.0, 269.0], [133.0, 301.0], [128.0, 318.0], [11.0, 285.0]], ('SAM ADAMS DRFT', 0.9437006711959839)], [[[28.0, 288.0], [130.0, 318.0], [124.0, 336.0], [23.0, 306.0]], ('NO SIDE SHOT', 0.929663896560669)], [[[195.0, 285.0], [234.0, 295.0], [229.0, 313.0], [190.0, 302.0]], ('0.00', 0.9981082677841187)], [[[8.0, 301.0], [87.0, 319.0], [82.0, 339.0], [4.0, 321.0]], ('Subtotal', 0.9883577823638916)], [[[192.0, 302.0], [230.0, 311.0], [226.0, 329.0], [187.0, 320.0]], ('8.99', 0.9950159788131714)], [[[41.0, 327.0], [82.0, 337.0], [78.0, 356.0], [37.0, 346.0]], ('292', 0.9904018044471741)], [[[188.0, 318.0], [227.0, 328.0], [222.0, 346.0], [183.0, 337.0]], ('6.99', 0.9967946410179138)], [[[90.0, 342.0], [146.0, 359.0], [141.0, 374.0], [84.0, 360.0]], ('Amount', 0.9885063767433167)], [[[171.0, 347.0], [221.0, 358.0], [216.0, 374.0], [166.0, 369.0]], ('32.46', 0.9678518176078796)]]
{"store_name": "HMSHost", "store_addr": "LosAngelesInt'lAirport MalibuAl'sT5", "telephone": "", "date": "JAN24'13", "time": "5:17PM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SAMADAMSDRFT", "item_value": "8.49", "item_quantity": "1"}, {"item_key": "", "item_name": "CRANSPRGMIX", "item_value": "7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "WATER", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BLUEMOON", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BIGSAMADAMSDR", "item_value": "6.99", "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
[[[[101.0, 63.0], [224.0, 56.0], [225.0, 72.0], [101.0, 78.0]], ('99 Restaurant & Pub', 0.9381806254386902)], [[[100.0, 77.0], [224.0, 71.0], [225.0, 86.0], [100.0, 92.0]], ('29-31 AUSTIN STREET', 0.9578183889389038)], [[[93.0, 92.0], [239.0, 86.0], [239.0, 100.0], [93.0, 106.0]], ('CHARLESTOWN,MA02129', 0.9561383128166199)], [[[123.0, 105.0], [206.0, 103.0], [207.0, 117.0], [124.0, 119.0]], ('617-242-8999', 0.9896404147148132)], [[[23.0, 138.0], [132.0, 133.0], [133.0, 150.0], [23.0, 154.0]], ('Server:CHERELLE', 0.9636370539665222)], [[[241.0, 129.0], [315.0, 127.0], [315.0, 145.0], [241.0, 146.0]], ('11/16/2016', 0.9973651766777039)], [[[21.0, 153.0], [91.0, 151.0], [91.0, 168.0], [21.0, 170.0]], ('Table 63/1', 0.9388127326965332)], [[[263.0, 145.0], [318.0, 145.0], [318.0, 162.0], [263.0, 162.0]], ('5:04PM', 0.9347567558288574)], [[[19.0, 169.0], [85.0, 169.0], [85.0, 186.0], [19.0, 186.0]], ('Guests1', 0.9829868674278259)], [[[280.0, 163.0], [319.0, 163.0], [319.0, 178.0], [280.0, 178.0]], ('50013', 0.9993903040885925)], [[[16.0, 187.0], [102.0, 183.0], [103.0, 199.0], [16.0, 204.0]], ('Reprint #1', 0.9462793469429016)], [[[13.0, 220.0], [127.0, 217.0], [128.0, 234.0], [13.0, 236.0]], ('nor np dnos dng', 0.7121325135231018)], [[[292.0, 214.0], [327.0, 214.0], [327.0, 232.0], [292.0, 232.0]], ('4.29', 0.9952006340026855)], [[[24.0, 238.0], [181.0, 235.0], [181.0, 252.0], [24.0, 255.0]], ('Cup of Beef Vegetable', 0.9497878551483154)], [[[24.0, 257.0], [129.0, 257.0], [129.0, 274.0], [24.0, 274.0]], ('Cheddar Cheese', 0.9695826172828674)], [[[296.0, 252.0], [331.0, 252.0], [331.0, 271.0], [296.0, 271.0]], ('0.99', 0.9940875172615051)], [[[8.0, 278.0], [133.0, 278.0], [133.0, 292.0], [8.0, 292.0]], ('Cheese & Crackers', 0.9654254913330078)], [[[297.0, 273.0], [334.0, 273.0], [334.0, 292.0], [297.0, 292.0]], ('0.99', 0.9962862730026245)], [[[4.0, 297.0], [174.0, 297.0], [174.0, 313.0], [4.0, 313.0]], ('Honey BBQ Chicken Wrap', 0.9456195831298828)], [[[294.0, 294.0], [337.0, 294.0], [337.0, 312.0], [294.0, 312.0]], ('10.29', 0.995357871055603)], [[[16.0, 316.0], [182.0, 315.0], [182.0, 335.0], [16.0, 336.0]], ('Tomato-Honey BBQ Wrap', 0.9463114142417908)]]
{"store_name": "99Restaurant&Pub", "store_addr": "29-31AUSTINSTREET CHARLESTOWN,MA02129", "telephone": "617-242-8999", "date": "11/16/2016", "time": "5:04PM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CupSoupduJour", "item_value": "4.29", "item_quantity": "1"}, {"item_key": "", "item_name": "CupofBeefVegetable", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CheddarCheese", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Cheese&Crackers", "item_value": "10.29", "item_quantity": "1"}, {"item_key": "", "item_name": "HoneyBBQChickenWrap", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Tomato-HoneyBBQWrap", "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
[[[[40.0, 61.0], [121.0, 63.0], [121.0, 74.0], [40.0, 73.0]], ('1/22/2016159PM', 0.9373349547386169)], [[[39.0, 72.0], [77.0, 74.0], [77.0, 86.0], [38.0, 83.0]], ('Stare1', 0.8393874764442444)], [[[156.0, 64.0], [252.0, 67.0], [252.0, 78.0], [156.0, 76.0]], ('Sales Receipt 15542', 0.9065893888473511)], [[[99.0, 83.0], [196.0, 87.0], [195.0, 101.0], [99.0, 98.0]], ("Bucky's Butchery", 0.9620847702026367)], [[[114.0, 95.0], [184.0, 97.0], [183.0, 112.0], [113.0, 109.0]], ('1805 Linden Dr', 0.9207087159156799)], [[[105.0, 108.0], [188.0, 109.0], [187.0, 121.0], [105.0, 120.0]], ('Madison.W153706', 0.9447168707847595)], [[[39.0, 119.0], [110.0, 121.0], [109.0, 132.0], [38.0, 130.0]], ('Cashier. mussel', 0.8094151020050049)], [[[40.0, 136.0], [100.0, 138.0], [100.0, 149.0], [40.0, 148.0]], ('Description 1', 0.9456387162208557)], [[[38.0, 146.0], [115.0, 149.0], [114.0, 164.0], [37.0, 160.0]], ('Beef Soup Bones', 0.9056669473648071)], [[[140.0, 137.0], [158.0, 140.0], [156.0, 153.0], [138.0, 151.0]], ('ay', 0.855111300945282)], [[[133.0, 149.0], [154.0, 149.0], [154.0, 161.0], [133.0, 161.0]], ('4.34', 0.9514148831367493)], [[[170.0, 148.0], [197.0, 150.0], [196.0, 163.0], [168.0, 160.0]], ('$0.99', 0.9663860201835632)], [[[171.0, 140.0], [244.0, 140.0], [244.0, 151.0], [171.0, 151.0]], ('Price Ext Price', 0.9163082242012024)], [[[39.0, 158.0], [113.0, 161.0], [112.0, 172.0], [38.0, 170.0]], ('Beef Soup Bones', 0.8922750949859619)], [[[136.0, 159.0], [155.0, 159.0], [155.0, 173.0], [136.0, 173.0]], ('24', 0.5017486214637756)], [[[217.0, 150.0], [243.0, 150.0], [243.0, 162.0], [217.0, 162.0]], ('$4.30', 0.9865433573722839)], [[[139.0, 169.0], [156.0, 172.0], [153.0, 186.0], [137.0, 183.0]], ('12', 0.9928141832351685)], [[[169.0, 160.0], [196.0, 160.0], [196.0, 173.0], [169.0, 173.0]], ('$0.99', 0.8646661043167114)], [[[217.0, 161.0], [243.0, 161.0], [243.0, 174.0], [217.0, 174.0]], ('$238', 0.873550534248352)], [[[40.0, 171.0], [110.0, 171.0], [110.0, 182.0], [40.0, 182.0]], ('Lamb Stew Meat', 0.9497203826904297)], [[[39.0, 181.0], [126.0, 181.0], [126.0, 195.0], [39.0, 195.0]], ('Lamb Shoulder Roa', 0.9418716430664062)], [[[170.0, 172.0], [196.0, 172.0], [196.0, 184.0], [170.0, 184.0]], ('$6.99', 0.9403193593025208)], [[[170.0, 182.0], [195.0, 182.0], [195.0, 195.0], [170.0, 195.0]], ('$6.49', 0.9846623539924622)], [[[216.0, 173.0], [242.0, 173.0], [242.0, 185.0], [216.0, 185.0]], ('$8.39', 0.959732711315155)], [[[40.0, 192.0], [113.0, 193.0], [112.0, 204.0], [40.0, 203.0]], ('Seef Osso Bucco', 0.9025232195854187)], [[[139.0, 183.0], [154.0, 183.0], [154.0, 194.0], [139.0, 194.0]], ('13', 0.9975862503051758)], [[[216.0, 183.0], [242.0, 183.0], [242.0, 195.0], [216.0, 195.0]], ('58.44', 0.8807523846626282)], [[[169.0, 194.0], [195.0, 194.0], [195.0, 206.0], [169.0, 206.0]], ('$2.99', 0.9595882296562195)], [[[40.0, 204.0], [95.0, 204.0], [95.0, 216.0], [40.0, 216.0]], ('Snack Sticks', 0.9420784115791321)], [[[169.0, 202.0], [195.0, 205.0], [194.0, 217.0], [167.0, 214.0]], ('$3.49', 0.9586097598075867)], [[[210.0, 195.0], [242.0, 195.0], [242.0, 206.0], [210.0, 206.0]], ('510.05', 0.9591481685638428)], [[[147.0, 207.0], [153.0, 207.0], [153.0, 212.0], [147.0, 212.0]], ('1', 0.8092392683029175)], [[[215.0, 205.0], [241.0, 205.0], [241.0, 217.0], [215.0, 217.0]], ('$3.49', 0.8686891794204712)], [[[40.0, 215.0], [94.0, 215.0], [94.0, 226.0], [40.0, 226.0]], ('Corned Seef', 0.8857528567314148)], [[[168.0, 215.0], [194.0, 215.0], [194.0, 227.0], [168.0, 227.0]], ('69S', 0.7089905738830566)], [[[169.0, 225.0], [194.0, 225.0], [194.0, 236.0], [169.0, 236.0]], ('52:25', 0.8452838063240051)], [[[37.0, 226.0], [95.0, 224.0], [96.0, 237.0], [38.0, 240.0]], ('Eggs-White', 0.9550285339355469)], [[[215.0, 226.0], [242.0, 226.0], [242.0, 238.0], [215.0, 238.0]], ('5225', 0.7652683258056641)], [[[167.0, 236.0], [201.0, 236.0], [201.0, 248.0], [167.0, 248.0]], ('Subtatw', 0.8641090393066406)], [[[167.0, 247.0], [202.0, 247.0], [202.0, 258.0], [167.0, 258.0]], ('0%Tax', 0.8552969098091125)], [[[218.0, 238.0], [250.0, 238.0], [250.0, 249.0], [218.0, 249.0]], ('$42.99', 0.932368278503418)], [[[68.0, 249.0], [131.0, 249.0], [131.0, 259.0], [68.0, 259.0]], ('Local Sales Tax', 0.9018136262893677)], [[[218.0, 248.0], [250.0, 248.0], [250.0, 259.0], [218.0, 259.0]], ('000S-', 0.5706634521484375)], [[[128.0, 258.0], [202.0, 257.0], [202.0, 269.0], [128.0, 270.0]], ('RECEIPT TOTAL', 0.9516099095344543)], [[[219.0, 258.0], [249.0, 258.0], [249.0, 270.0], [219.0, 270.0]], ('$42.99', 0.9447686672210693)], [[[58.0, 278.0], [138.0, 275.0], [139.0, 288.0], [59.0, 292.0]], ('Credt Card.$4299', 0.9274189472198486)], [[[51.0, 291.0], [103.0, 289.0], [103.0, 301.0], [51.0, 302.0]], ('MasterCard', 0.9925972819328308)], [[[89.0, 308.0], [202.0, 305.0], [202.0, 317.0], [90.0, 320.0]], ('Thanks for shopping wth us', 0.9383963942527771)], [[[136.0, 362.0], [159.0, 362.0], [159.0, 371.0], [136.0, 371.0]], ('15642', 0.9782875776290894)]]
{"store_name": "Bucky'sButchery", "store_addr": "Madison.WI53706 1805Linden.Dr", "telephone": "", "date": "1/22/2016", "time": "1:59PM", "subtotal": "", "tax": "-50.00", "total": "$42.99", "ignore": " Staet:1 ", "tips": "", "line_items": [{"item_key": "", "item_name": "Eggs-Wnite", "item_value": "$4.30", "item_quantity": "1"}, {"item_key": "", "item_name": "ComedBeet", "item_value": "$2.38", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefOssoBucco", "item_value": "$8.39", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefSoupBones", "item_value": "$6.44", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefSoupBones", "item_value": "$10.05", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$3.45", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$3.89", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$2.25", "item_quantity": "1"}, {"item_key": "Description1", "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
[[[[149.0, 2.0], [206.0, 4.0], [205.0, 18.0], [148.0, 16.0]], ('SINCLAIR', 0.9929277896881104)], [[[135.0, 13.0], [218.0, 17.0], [217.0, 32.0], [134.0, 27.0]], ('5905N72ND', 0.9154527187347412)], [[[121.0, 24.0], [224.0, 30.0], [223.0, 48.0], [120.0, 42.0]], ('KANSAS CITY.MO', 0.8779355883598328)], [[[109.0, 55.0], [205.0, 58.0], [204.0, 71.0], [109.0, 68.0]], ('TP29616377-001', 0.9815810322761536)], [[[108.0, 69.0], [245.0, 72.0], [245.0, 86.0], [108.0, 83.0]], ('PLATTE MOODS SINCLAI', 0.895797610282898)], [[[108.0, 83.0], [211.0, 85.0], [210.0, 99.0], [108.0, 97.0]], ('5905 N72NDST', 0.9184107184410095)], [[[107.0, 97.0], [244.0, 100.0], [244.0, 114.0], [107.0, 111.0]], ('KANSAS CITY HO 6415', 0.8759416341781616)], [[[107.0, 139.0], [138.0, 139.0], [138.0, 153.0], [107.0, 153.0]], ('DATE', 0.9966193437576294)], [[[174.0, 139.0], [229.0, 142.0], [228.0, 154.0], [174.0, 152.0]], ('12/14/16', 0.9925128221511841)], [[[108.0, 152.0], [138.0, 152.0], [138.0, 166.0], [108.0, 166.0]], ('TIHE', 0.8653063178062439)], [[[178.0, 152.0], [230.0, 154.0], [229.0, 168.0], [178.0, 166.0]], ('5:11PH', 0.8544771671295166)], [[[106.0, 164.0], [190.0, 166.0], [190.0, 180.0], [106.0, 178.0]], ('AUTH068113', 0.9088493585586548)], [[[105.0, 186.0], [137.0, 188.0], [136.0, 202.0], [103.0, 199.0]], ('UISA', 0.9568554162979126)], [[[103.0, 212.0], [135.0, 212.0], [135.0, 225.0], [103.0, 225.0]], ('PUHP', 0.8629685044288635)], [[[146.0, 214.0], [196.0, 214.0], [196.0, 224.0], [146.0, 224.0]], ('PRODUCT', 0.9941273927688599)], [[[204.0, 212.0], [230.0, 216.0], [228.0, 231.0], [202.0, 227.0]], ('PPG', 0.9688659310340881)], [[[111.0, 226.0], [128.0, 226.0], [128.0, 239.0], [111.0, 239.0]], ('05', 0.9680219292640686)], [[[152.0, 225.0], [184.0, 225.0], [184.0, 239.0], [152.0, 239.0]], ('UNLD', 0.9769434332847595)], [[[200.0, 227.0], [242.0, 231.0], [240.0, 246.0], [198.0, 242.0]], ('$1.999', 0.9895734190940857)], [[[102.0, 254.0], [154.0, 252.0], [154.0, 266.0], [102.0, 268.0]], ('GALLONS', 0.9963569641113281)], [[[172.0, 254.0], [242.0, 259.0], [240.0, 273.0], [171.0, 268.0]], ('FUEL TOTAL', 0.959150493144989)], [[[114.0, 268.0], [154.0, 268.0], [154.0, 282.0], [114.0, 282.0]], ('9.505', 0.989272952079773)], [[[192.0, 271.0], [239.0, 271.0], [239.0, 286.0], [192.0, 286.0]], ('$19.00', 0.9490904808044434)], [[[133.0, 317.0], [203.0, 312.0], [204.0, 328.0], [134.0, 332.0]], ('THANK YOU', 0.9560725688934326)], [[[109.0, 334.0], [228.0, 326.0], [229.0, 341.0], [110.0, 347.0]], ('HAUE A NICE DAY', 0.8897467851638794)]]
{"store_name": "SINCLAIR PLATTEWOODSSINCLAI", "store_addr": "5905NW72ND KANSASCITY.NO 5905NW72NDST KANSASCITYNO6415", "telephone": "", "date": "12/14/16", "time": "5:11PM", "subtotal": "", "tax": "", "total": "$19.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "UNLD", "item_value": "$1.999", "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
[[[[993.0, 400.0], [1371.0, 419.0], [1368.0, 480.0], [990.0, 461.0]], ('7706098587', 0.9973140954971313)], [[[459.0, 508.0], [816.0, 542.0], [810.0, 600.0], [454.0, 566.0]], ('Cashier:Ali', 0.9564027786254883)], [[[448.0, 561.0], [1165.0, 659.0], [1155.0, 727.0], [438.0, 630.0]], ('11-Dec-20147:50:45P', 0.9435118436813354)], [[[415.0, 695.0], [666.0, 719.0], [660.0, 781.0], [408.0, 757.0]], ('Guest 1', 0.9260032773017883)], [[[400.0, 772.0], [449.0, 772.0], [449.0, 823.0], [400.0, 823.0]], ('2', 0.9938900470733643)], [[[525.0, 768.0], [1267.0, 870.0], [1255.0, 949.0], [514.0, 847.0]], ('Veg Shingara 2 Pieces', 0.9490731358528137)], [[[1686.0, 800.0], [1900.0, 791.0], [1903.0, 863.0], [1689.0, 871.0]], ('$6.00', 0.9976294636726379)], [[[389.0, 833.0], [431.0, 833.0], [431.0, 884.0], [389.0, 884.0]], ('7', 0.8863102793693542)], [[[524.0, 844.0], [1099.0, 934.0], [1089.0, 996.0], [514.0, 905.0]], ('Chicken Vindaloo', 0.9801250696182251)], [[[1643.0, 879.0], [1899.0, 862.0], [1904.0, 930.0], [1648.0, 947.0]], ('$12.00', 0.9985128045082092)], [[[1546.0, 957.0], [1899.0, 937.0], [1903.0, 1005.0], [1550.0, 1025.0]], ('Hot $0.00', 0.9507559537887573)], [[[483.0, 1054.0], [909.0, 1122.0], [897.0, 1193.0], [471.0, 1125.0]], ('Quail Korma', 0.9664539098739624)], [[[1648.0, 1098.0], [1909.0, 1098.0], [1909.0, 1173.0], [1648.0, 1173.0]], ('$15.00', 0.9988420009613037)], [[[1387.0, 1187.0], [1905.0, 1179.0], [1906.0, 1247.0], [1388.0, 1255.0]], ('Medium $0.00', 0.963130533695221)], [[[292.0, 1282.0], [334.0, 1282.0], [334.0, 1340.0], [292.0, 1340.0]], ('7', 0.9704078435897827)], [[[434.0, 1285.0], [1186.0, 1370.0], [1176.0, 1462.0], [424.0, 1377.0]], ('Shrimp Tikka Masala', 0.9438906311988831)], [[[1648.0, 1350.0], [1912.0, 1350.0], [1912.0, 1421.0], [1648.0, 1421.0]], ('$15.00', 0.9984751343727112)], [[[1374.0, 1431.0], [1913.0, 1438.0], [1912.0, 1510.0], [1373.0, 1503.0]], ('Medium $0.00', 0.9672496318817139)], [[[235.0, 1520.0], [298.0, 1529.0], [287.0, 1605.0], [224.0, 1596.0]], ('2', 0.9972152709960938)], [[[396.0, 1541.0], [831.0, 1597.0], [821.0, 1669.0], [386.0, 1612.0]], ('Garlic Naan', 0.9529249668121338)], [[[221.0, 1606.0], [284.0, 1615.0], [273.0, 1690.0], [210.0, 1681.0]], ('1', 0.7658584117889404)], [[[1692.0, 1597.0], [1927.0, 1606.0], [1924.0, 1694.0], [1689.0, 1685.0]], ('$8.00', 0.9986154437065125)], [[[376.0, 1625.0], [904.0, 1700.0], [892.0, 1781.0], [364.0, 1707.0]], ('Coconut Soup', 0.9765425324440002)], [[[1694.0, 1688.0], [1931.0, 1701.0], [1926.0, 1790.0], [1688.0, 1777.0]], ('$4.00', 0.9988347887992859)], [[[176.0, 1793.0], [535.0, 1828.0], [526.0, 1913.0], [167.0, 1878.0]], ('Subtotal', 0.9976816773414612)], [[[161.0, 1891.0], [312.0, 1910.0], [301.0, 1992.0], [150.0, 1973.0]], ('Tax', 0.9978759288787842)], [[[1650.0, 1883.0], [1931.0, 1891.0], [1928.0, 1976.0], [1647.0, 1968.0]], ('$60.00', 0.9979522824287415)], [[[1694.0, 1974.0], [1938.0, 1987.0], [1933.0, 2086.0], [1688.0, 2072.0]], ('$4.20', 0.9978197813034058)], [[[120.0, 2089.0], [343.0, 2106.0], [336.0, 2198.0], [113.0, 2181.0]], ('Total', 0.9987391233444214)], [[[1649.0, 2174.0], [1949.0, 2191.0], [1943.0, 2290.0], [1643.0, 2273.0]], ('$64.20', 0.9964963793754578)], [[[74.0, 2310.0], [1084.0, 2382.0], [1077.0, 2474.0], [67.0, 2402.0]], ('Order 7N6SKK52YKHYM', 0.9683284759521484)], [[[449.0, 2572.0], [1549.0, 2637.0], [1544.0, 2728.0], [443.0, 2664.0]], ('Online:https://clover.com/', 0.9728966355323792)], [[[570.0, 2698.0], [1410.0, 2745.0], [1405.0, 2830.0], [565.0, 2783.0]], ('r/7N6SKK52YKHYM', 0.9915536642074585)]]
{"store_name": "PURNIMARESTAURANT", "store_addr": "4646ABUFORDHWY CHAMBLEEGA30341", "telephone": "7706098587", "date": "11-Dec-2014", "time": "7:50.45P", "subtotal": "$60.00", "tax": "$4.20", "total": "$64.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "VegShingara2Pieces", "item_value": "$6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenVindaloo", "item_value": "$12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "QuailKorma", "item_value": "$15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ShrimpTikkaMasala", "item_value": "$15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GarlicNaan", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CoconutSoup", "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
[[[[229.0, 112.0], [494.0, 79.0], [498.0, 109.0], [233.0, 142.0]], ('CHELIS MUSCAT', 0.911969780921936)], [[[64.0, 194.0], [239.0, 174.0], [242.0, 204.0], [68.0, 224.0]], ('45Fatbsy', 0.9076439142227173)], [[[624.0, 190.0], [696.0, 187.0], [697.0, 219.0], [625.0, 222.0]], ('Gst', 0.9939867854118347)], [[[282.0, 229.0], [458.0, 210.0], [462.0, 239.0], [286.0, 258.0]], ('Chk 4283', 0.9328764081001282)], [[[111.0, 252.0], [193.0, 241.0], [198.0, 272.0], [115.0, 283.0]], ('62/4', 0.9723891615867615)], [[[217.0, 271.0], [526.0, 236.0], [529.0, 265.0], [220.0, 300.0]], ("03Jun'0919:41", 0.9365071654319763)], [[[563.0, 301.0], [683.0, 295.0], [685.0, 326.0], [565.0, 332.0]], ('6.900', 0.9976183772087097)], [[[566.0, 339.0], [690.0, 332.0], [692.0, 365.0], [567.0, 372.0]], ('5.200', 0.9985539317131042)], [[[95.0, 356.0], [364.0, 326.0], [368.0, 355.0], [98.0, 385.0]], ('Cajun Ribeye', 0.9800675511360168)], [[[81.0, 367.0], [95.0, 367.0], [95.0, 377.0], [81.0, 377.0]], ('-', 0.6607427597045898)], [[[572.0, 378.0], [695.0, 372.0], [697.0, 405.0], [574.0, 411.0]], ('1.000', 0.8997715711593628)], [[[94.0, 389.0], [461.0, 349.0], [465.0, 382.0], [98.0, 422.0]], ('Monterey Chicken', 0.9568739533424377)], [[[89.0, 427.0], [412.0, 393.0], [416.0, 425.0], [93.0, 459.0]], ('AQUAFINA LARGE', 0.9852412939071655)], [[[572.0, 420.0], [700.0, 412.0], [702.0, 446.0], [574.0, 454.0]], ('2.500', 0.9963437914848328)], [[[56.0, 438.0], [69.0, 438.0], [69.0, 455.0], [56.0, 455.0]], ('1', 0.8037530183792114)], [[[83.0, 466.0], [311.0, 444.0], [314.0, 474.0], [86.0, 496.0]], ('Cheesecake', 0.9969121813774109)], [[[574.0, 463.0], [707.0, 454.0], [710.0, 491.0], [577.0, 500.0]], ('2.500', 0.9978507161140442)], [[[52.0, 478.0], [63.0, 478.0], [63.0, 494.0], [52.0, 494.0]], ('1', 0.634606122970581)], [[[42.0, 509.0], [382.0, 477.0], [385.0, 510.0], [46.0, 542.0]], ('1 Apple Cobbler', 0.909240186214447)], [[[559.0, 553.0], [719.0, 544.0], [721.0, 583.0], [561.0, 592.0]], ('17.100', 0.9943667054176331)], [[[65.0, 585.0], [161.0, 577.0], [165.0, 616.0], [69.0, 624.0]], ('Food', 0.99737548828125)], [[[588.0, 601.0], [725.0, 592.0], [727.0, 631.0], [591.0, 640.0]], ('1.000', 0.995235800743103)], [[[62.0, 632.0], [278.0, 623.0], [280.0, 656.0], [63.0, 665.0]], ('Beverages', 0.9970986247062683)], [[[587.0, 650.0], [729.0, 641.0], [732.0, 682.0], [590.0, 691.0]], ('1.629', 0.9913344383239746)], [[[54.0, 672.0], [302.0, 664.0], [304.0, 700.0], [55.0, 709.0]], ('9%M&TTax', 0.9658540487289429)], [[[403.0, 709.0], [722.0, 696.0], [724.0, 737.0], [405.0, 749.0]], ('19.729', 0.9460301995277405)], [[[8.0, 721.0], [219.0, 715.0], [220.0, 753.0], [9.0, 759.0]], ('49 Total', 0.9551233053207397)], [[[13.0, 818.0], [359.0, 823.0], [359.0, 859.0], [13.0, 854.0]], ('.chilisme.com', 0.9678115844726562)]]
{"store_name": "CHILISMUSCAT", "store_addr": "", "telephone": "", "date": "03Jun'09", "time": "19:41", "subtotal": "", "tax": "1.629", "total": "19.729", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CajunRibeye", "item_value": "6.900", "item_quantity": "1"}, {"item_key": "", "item_name": "MontereyChicken", "item_value": "5.200", "item_quantity": "1"}, {"item_key": "", "item_name": "AQUAFINALARGE", "item_value": "1.000", "item_quantity": "1"}, {"item_key": "", "item_name": "Cheesecake", "item_value": "2.500", "item_quantity": "1"}, {"item_key": "", "item_name": "AppleCobbler", "item_value": "2.500", "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
[[[[98.0, 51.0], [235.0, 46.0], [235.0, 61.0], [98.0, 66.0]], ('CORAL BEACH HTL &RESORTS', 0.9500967860221863)], [[[140.0, 65.0], [191.0, 63.0], [191.0, 78.0], [141.0, 81.0]], ('POOL BAR', 0.9510116577148438)], [[[75.0, 96.0], [258.0, 91.0], [258.0, 104.0], [75.0, 109.0]], ('Invoice:436991 POS:5Area:AR05 Table:35', 0.9237538576126099)], [[[81.0, 110.0], [252.0, 105.0], [253.0, 119.0], [81.0, 124.0]], ('Seat1 Covers:1 Policy:ALL INCLUSIVE', 0.9207744002342224)], [[[78.0, 124.0], [254.0, 120.0], [255.0, 134.0], [78.0, 137.0]], ('Date:17/04/2017 Time:16:27User:NICOL', 0.9306424260139465)], [[[54.0, 162.0], [107.0, 162.0], [107.0, 176.0], [54.0, 176.0]], ('Description', 0.9946841597557068)], [[[250.0, 156.0], [289.0, 159.0], [288.0, 174.0], [249.0, 171.0]], ('Amount', 0.9924330711364746)], [[[52.0, 180.0], [169.0, 178.0], [169.0, 191.0], [52.0, 193.0]], ('FRESHLY ORANGE JUICE', 0.9438909292221069)], [[[174.0, 179.0], [198.0, 179.0], [198.0, 191.0], [174.0, 191.0]], ('1@', 0.8291491866111755)], [[[218.0, 176.0], [244.0, 176.0], [244.0, 192.0], [218.0, 192.0]], ('3.95', 0.9942303895950317)], [[[264.0, 176.0], [289.0, 176.0], [289.0, 191.0], [264.0, 191.0]], ('3.95', 0.995623767375946)], [[[54.0, 209.0], [99.0, 209.0], [99.0, 220.0], [54.0, 220.0]], ('Sub Total', 0.9246239066123962)], [[[266.0, 205.0], [290.0, 205.0], [290.0, 220.0], [266.0, 220.0]], ('3.95', 0.9921899437904358)], [[[52.0, 222.0], [133.0, 222.0], [133.0, 235.0], [52.0, 235.0]], ('Discount 60.00%', 0.9547344446182251)], [[[266.0, 219.0], [290.0, 219.0], [290.0, 234.0], [266.0, 234.0]], ('2.37', 0.9955790042877197)], [[[52.0, 235.0], [108.0, 235.0], [108.0, 249.0], [52.0, 249.0]], ('TOTAL EUR', 0.9738771915435791)], [[[267.0, 234.0], [291.0, 234.0], [291.0, 249.0], [267.0, 249.0]], ('1.58', 0.9709885120391846)], [[[52.0, 250.0], [165.0, 250.0], [165.0, 264.0], [52.0, 264.0]], ('GRAND TOTAL EUR', 0.9530920386314392)], [[[259.0, 248.0], [291.0, 250.0], [290.0, 267.0], [258.0, 264.0]], ('1.58', 0.9961047172546387)], [[[74.0, 289.0], [105.0, 289.0], [105.0, 304.0], [74.0, 304.0]], ('VAT%', 0.9661010503768921)], [[[156.0, 288.0], [178.0, 288.0], [178.0, 304.0], [156.0, 304.0]], ('NNT', 0.6679194569587708)], [[[236.0, 288.0], [259.0, 288.0], [259.0, 304.0], [236.0, 304.0]], ('VAT', 0.9967606663703918)], [[[81.0, 307.0], [105.0, 307.0], [105.0, 323.0], [81.0, 323.0]], ('9.00', 0.9956242442131042)], [[[115.0, 316.0], [197.0, 316.0], [197.0, 353.0], [115.0, 353.0]], ('3307', 0.9589584469795227)], [[[157.0, 307.0], [180.0, 307.0], [180.0, 323.0], [157.0, 323.0]], ('1.45', 0.9953010082244873)], [[[236.0, 308.0], [260.0, 308.0], [260.0, 324.0], [236.0, 324.0]], ('0.13', 0.9942094087600708)], [[[48.0, 340.0], [107.0, 340.0], [107.0, 351.0], [48.0, 351.0]], ('Room No', 0.9481862187385559)], [[[123.0, 354.0], [211.0, 351.0], [211.0, 379.0], [123.0, 382.0]], ('TSAPPIS', 0.9629730582237244)], [[[46.0, 369.0], [109.0, 369.0], [109.0, 383.0], [46.0, 383.0]], ('Guest Name:', 0.9291331768035889)], [[[45.0, 398.0], [101.0, 401.0], [100.0, 416.0], [44.0, 413.0]], ('Signature:', 0.9844869375228882)], [[[129.0, 429.0], [205.0, 432.0], [204.0, 446.0], [128.0, 443.0]], ('THANK YOU!!', 0.8970113396644592)]]
{"store_name": "POOLBAR CORALBEACHHTL&RESORTS", "store_addr": "", "telephone": "", "date": "17/04/2017", "time": "16:27", "subtotal": "3.95", "tax": "0.13", "total": "1.58 1.58", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FRESHLYORANGEJUICE", "item_value": "3.95", "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
[[[[180.0, 85.0], [467.0, 73.0], [469.0, 124.0], [183.0, 136.0]], ('SUBWAY', 0.994246780872345)], [[[148.0, 216.0], [508.0, 203.0], [508.0, 227.0], [149.0, 240.0]], ('Subway#1926-0 Phone 858-673-8362', 0.9647082090377808)], [[[187.0, 243.0], [451.0, 235.0], [452.0, 257.0], [188.0, 265.0]], ('11983 Bernardo Plaza Dr', 0.9337300658226013)], [[[214.0, 269.0], [444.0, 261.0], [445.0, 285.0], [215.0, 293.0]], ('San DiegoCA92128', 0.9449586868286133)], [[[114.0, 299.0], [546.0, 288.0], [547.0, 310.0], [114.0, 321.0]], ('Served by:Yuvia 3/25/2017 12:30:57 pm', 0.9148087501525879)], [[[188.0, 324.0], [473.0, 316.0], [473.0, 340.0], [189.0, 348.0]], ('Term ID-Trans# 1/A-224182', 0.9603460431098938)], [[[485.0, 370.0], [549.0, 370.0], [549.0, 396.0], [485.0, 396.0]], ('Price', 0.9983097314834595)], [[[85.0, 381.0], [236.0, 378.0], [237.0, 403.0], [86.0, 406.0]], ('Qty Size Item', 0.9415123462677002)], [[[191.0, 433.0], [374.0, 430.0], [374.0, 455.0], [191.0, 458.0]], ('10% Off Any Item', 0.9283735156059265)], [[[497.0, 425.0], [550.0, 423.0], [551.0, 450.0], [499.0, 452.0]], ('0.00', 0.9970333576202393)], [[[150.0, 462.0], [296.0, 459.0], [296.0, 487.0], [151.0, 490.0]], ('6-Tuna Sub', 0.9596269726753235)], [[[500.0, 453.0], [552.0, 453.0], [552.0, 480.0], [500.0, 480.0]], ('4.49', 0.983913242816925)], [[[201.0, 489.0], [274.0, 489.0], [274.0, 515.0], [201.0, 515.0]], ('--Hot', 0.9308518171310425)], [[[110.0, 522.0], [123.0, 522.0], [123.0, 544.0], [110.0, 544.0]], ('1', 0.8147088885307312)], [[[203.0, 519.0], [550.0, 510.0], [551.0, 534.0], [204.0, 543.0]], ('-Fresh Value Mea121-12.75', 0.9417623281478882)], [[[204.0, 547.0], [516.0, 539.0], [517.0, 564.0], [205.0, 572.0]], ('--Bott led Carbonated Drink', 0.9379435777664185)], [[[203.0, 573.0], [297.0, 575.0], [297.0, 602.0], [202.0, 600.0]], ('--Chips', 0.9496152997016907)], [[[507.0, 626.0], [560.0, 626.0], [560.0, 653.0], [507.0, 653.0]], ('7.24', 0.9851913452148438)], [[[84.0, 637.0], [191.0, 633.0], [192.0, 659.0], [85.0, 663.0]], ('Sub Total', 0.9349234700202942)], [[[507.0, 656.0], [560.0, 653.0], [562.0, 681.0], [508.0, 684.0]], ('6.09', 0.9925333261489868)], [[[85.0, 666.0], [249.0, 662.0], [249.0, 687.0], [86.0, 691.0]], ('Taxable Amount', 0.977425754070282)], [[[509.0, 685.0], [561.0, 685.0], [561.0, 712.0], [509.0, 712.0]], ('0.47', 0.9945758581161499)], [[[85.0, 696.0], [283.0, 690.0], [284.0, 715.0], [86.0, 721.0]], ('Sales Tax (7.75%)', 0.8976806998252869)], [[[510.0, 715.0], [562.0, 715.0], [562.0, 742.0], [510.0, 742.0]], ('7.71', 0.9796119332313538)], [[[85.0, 725.0], [273.0, 721.0], [274.0, 746.0], [86.0, 750.0]], ('Total Take Out', 0.9101310968399048)], [[[84.0, 754.0], [217.0, 752.0], [217.0, 777.0], [84.0, 779.0]], ('Credit Card', 0.9768766760826111)], [[[511.0, 745.0], [562.0, 745.0], [562.0, 772.0], [511.0, 772.0]], ('7.71', 0.9943128824234009)], [[[85.0, 784.0], [159.0, 784.0], [159.0, 810.0], [85.0, 810.0]], ('Change', 0.9973042607307434)], [[[511.0, 775.0], [566.0, 775.0], [566.0, 802.0], [511.0, 802.0]], ('0.00', 0.9929162263870239)], [[[84.0, 815.0], [323.0, 809.0], [324.0, 833.0], [85.0, 839.0]], ('How did we do today?', 0.9520403146743774)], [[[85.0, 844.0], [590.0, 835.0], [590.0, 860.0], [86.0, 869.0]], ('Please take our 1 minute survey www.tellsu', 0.9377506971359253)], [[[86.0, 875.0], [383.0, 867.0], [384.0, 893.0], [87.0, 900.0]], ('bway.com and let us know', 0.9540302753448486)], [[[86.0, 904.0], [541.0, 898.0], [541.0, 923.0], [87.0, 929.0]], ("Please give us 10's on all categories!", 0.9011570811271667)], [[[146.0, 935.0], [374.0, 930.0], [374.0, 955.0], [146.0, 960.0]], ('Approva1 No:01581Z', 0.9256462454795837)], [[[134.0, 966.0], [446.0, 961.0], [446.0, 985.0], [134.0, 990.0]], ('Reference No:708419043132', 0.9614299535751343)]]
{"store_name": "Subway#1926-0", "store_addr": "SanDiego,CA,92128 11983BernardoPlazaDr.", "telephone": "858-673-8362", "date": "3/25/2017", "time": "12:30:57pm", "subtotal": "7.24", "tax": "0,47", "total": "7.71 7.71", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "--Chips", "item_value": "2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "--BottledCarbonatedDrink", "item_value": "4.49", "item_quantity": "1"}, {"item_key": "", "item_name": "-FreshValueMeal(21-1)", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "--Hot", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "6\"-TunaSub", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "10%OffAnyItem", "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
[[[[128.0, 24.0], [257.0, 24.0], [257.0, 55.0], [128.0, 55.0]], ('Guacamole', 0.9515590667724609)], [[[145.0, 61.0], [237.0, 60.0], [237.0, 73.0], [145.0, 74.0]], ('ObersunsterstraBe 11', 0.893447756767273)], [[[118.0, 81.0], [261.0, 80.0], [261.0, 91.0], [118.0, 92.0]], ('0080602606501', 0.7809569835662842)], [[[154.0, 72.0], [230.0, 72.0], [230.0, 82.0], [154.0, 82.0]], ('93047 Regensburg', 0.9444723725318909)], [[[123.0, 92.0], [258.0, 91.0], [258.0, 102.0], [123.0, 103.0]], ('Infosguacamole-deutschland.de', 0.8948744535446167)], [[[139.0, 101.0], [241.0, 101.0], [241.0, 115.0], [139.0, 115.0]], ('Ust.Id.NrDE305572962', 0.9362121820449829)], [[[94.0, 134.0], [202.0, 133.0], [202.0, 147.0], [94.0, 148.0]], ('Rechnungsnusmer19945', 0.8970346450805664)], [[[94.0, 145.0], [261.0, 143.0], [261.0, 157.0], [94.0, 159.0]], ('Rechnungsdatu13.05.201716:4854', 0.9388427734375)], [[[93.0, 168.0], [220.0, 168.0], [220.0, 181.0], [93.0, 181.0]], ('Es bediente Sle Bediener 1', 0.8893263339996338)], [[[267.0, 165.0], [288.0, 165.0], [288.0, 177.0], [267.0, 177.0]], ('1', 0.8800393342971802)], [[[93.0, 179.0], [136.0, 179.0], [136.0, 193.0], [93.0, 193.0]], ('Pager:8', 0.9295479655265808)], [[[103.0, 203.0], [158.0, 203.0], [158.0, 214.0], [103.0, 214.0]], ('1x3Tacos', 0.8870125412940979)], [[[116.0, 215.0], [178.0, 215.0], [178.0, 226.0], [116.0, 226.0]], ('at Kase', 0.8301770091056824)], [[[226.0, 211.0], [253.0, 211.0], [253.0, 226.0], [226.0, 226.0]], ('0.40', 0.9808971881866455)], [[[278.0, 210.0], [302.0, 210.0], [302.0, 225.0], [278.0, 225.0]], ('1.20', 0.9905983209609985)], [[[110.0, 226.0], [106.0, 231.0], [115.0, 231.0], [110.0, 236.0]], ('-', 0.8113751411437988)], [[[123.0, 226.0], [197.0, 226.0], [197.0, 238.0], [123.0, 238.0]], ('xTaco Fajita.', 0.8205271363258362)], [[[278.0, 222.0], [304.0, 222.0], [304.0, 237.0], [278.0, 237.0]], ('2.10', 0.9649952054023743)], [[[110.0, 238.0], [106.0, 243.0], [115.0, 243.0], [110.0, 248.0]], ('-', 0.6629427075386047)], [[[229.0, 236.0], [253.0, 236.0], [253.0, 248.0], [229.0, 248.0]], ('2.10', 0.8698104023933411)], [[[279.0, 234.0], [305.0, 234.0], [305.0, 249.0], [279.0, 249.0]], ('4.20', 0.9511339068412781)], [[[107.0, 251.0], [114.0, 251.0], [114.0, 260.0], [107.0, 260.0]], ('3', 0.9950419664382935)], [[[122.0, 249.0], [218.0, 249.0], [218.0, 262.0], [122.0, 262.0]], ('xmit Guajillo-Cac', 0.8459481596946716)], [[[122.0, 261.0], [209.0, 261.0], [209.0, 274.0], [122.0, 274.0]], ('x.mit Guacamole', 0.8531070947647095)], [[[230.0, 260.0], [254.0, 260.0], [254.0, 272.0], [230.0, 272.0]], ('0,40', 0.8698664903640747)], [[[281.0, 258.0], [307.0, 258.0], [307.0, 273.0], [281.0, 273.0]], ('1.20', 0.9832797646522522)], [[[123.0, 273.0], [203.0, 273.0], [203.0, 287.0], [123.0, 287.0]], ('xmit Koriander', 0.9103413820266724)], [[[88.0, 300.0], [168.0, 300.0], [168.0, 313.0], [88.0, 313.0]], ('Rechnungsbetrag', 0.9932519197463989)], [[[200.0, 298.0], [222.0, 298.0], [222.0, 313.0], [200.0, 313.0]], ('EUR', 0.994041919708252)], [[[265.0, 298.0], [311.0, 298.0], [311.0, 313.0], [265.0, 313.0]], ('8.70', 0.9940192699432373)], [[[87.0, 312.0], [147.0, 315.0], [147.0, 329.0], [86.0, 326.0]], ('Bar gegeben', 0.9547431468963623)], [[[282.0, 311.0], [313.0, 311.0], [313.0, 326.0], [282.0, 326.0]], ('10.00', 0.8979867100715637)], [[[87.0, 326.0], [133.0, 326.0], [133.0, 341.0], [87.0, 341.0]], ('Ruckgeld', 0.9961761236190796)], [[[289.0, 325.0], [314.0, 325.0], [314.0, 341.0], [289.0, 341.0]], ('1.30', 0.8866339921951294)], [[[86.0, 352.0], [142.0, 355.0], [142.0, 369.0], [85.0, 366.0]], ('Steuersatz', 0.9856616854667664)], [[[176.0, 351.0], [207.0, 354.0], [206.0, 369.0], [174.0, 366.0]], ('Netto', 0.9961606860160828)], [[[235.0, 353.0], [260.0, 353.0], [260.0, 369.0], [235.0, 369.0]], ('MuSt', 0.8342793583869934)], [[[278.0, 351.0], [317.0, 354.0], [316.0, 369.0], [277.0, 366.0]], ('Brutto', 0.9947642683982849)], [[[84.0, 365.0], [141.0, 368.0], [141.0, 383.0], [83.0, 381.0]], ('A 19%Mst', 0.9117085337638855)], [[[181.0, 368.0], [206.0, 368.0], [206.0, 383.0], [181.0, 383.0]], ('7.31', 0.9804776310920715)], [[[236.0, 368.0], [262.0, 368.0], [262.0, 383.0], [236.0, 383.0]], ('1.39', 0.9848061203956604)], [[[290.0, 368.0], [318.0, 368.0], [318.0, 383.0], [290.0, 383.0]], ('8.70', 0.9820841550827026)], [[[122.0, 397.0], [276.0, 397.0], [276.0, 411.0], [122.0, 411.0]], ('Wir danken fur Ihren Besuch!', 0.9342436790466309)], [[[134.0, 439.0], [268.0, 439.0], [268.0, 449.0], [134.0, 449.0]], ('1ec30ff313f668e90c1754467851080', 0.9148255586624146)]]
{"store_name": "Guacamole", "store_addr": "", "telephone": "+49(0)941/20908700", "date": "13.05.2017", "time": "16:48:54", "subtotal": "7.31", "tax": "1.39", "total": "8.70 8.70", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "x3Tacos", "item_value": "1.20", "item_quantity": "1"}, {"item_key": "", "item_name": "xaitKase", "item_value": "2.10", "item_quantity": "1"}, {"item_key": "", "item_name": "xTacoFajita.", "item_value": "4.20", "item_quantity": "1"}, {"item_key": "", "item_name": "\u00d7TacoDelCampo.", "item_value": "1.20", "item_quantity": "1"}, {"item_key": "", "item_name": "x.mitGualillo-Cac", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "x.mitGuacamole", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "xmitKoriander", "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
[[[[207.0, 52.0], [247.0, 49.0], [247.0, 60.0], [208.0, 62.0]], ('ash.com', 0.9829804301261902)], [[[128.0, 76.0], [238.0, 70.0], [239.0, 84.0], [129.0, 90.0]], ('4311 state Line Aue', 0.8594579100608826)], [[[128.0, 88.0], [237.0, 81.0], [238.0, 95.0], [129.0, 102.0]], ('TexarkanaTX 73305', 0.9124541878700256)], [[[145.0, 99.0], [214.0, 94.0], [215.0, 106.0], [146.0, 112.0]], ('983-255-0114', 0.9597588181495667)], [[[102.0, 133.0], [176.0, 133.0], [176.0, 144.0], [102.0, 144.0]], ('5/20/2018 Sun', 0.9488672018051147)], [[[234.0, 127.0], [287.0, 123.0], [288.0, 137.0], [235.0, 141.0]], ('10:49AM', 0.9289484024047852)], [[[102.0, 145.0], [176.0, 145.0], [176.0, 156.0], [102.0, 156.0]], ('CREETER: Auto', 0.904518723487854)], [[[216.0, 141.0], [286.0, 137.0], [287.0, 151.0], [217.0, 154.0]], ('CTN:129087', 0.8556482195854187)], [[[101.0, 154.0], [160.0, 156.0], [160.0, 170.0], [101.0, 168.0]], ('PWC87130', 0.8865474462509155)], [[[100.0, 166.0], [221.0, 165.0], [221.0, 179.0], [100.0, 180.0]], ('TXTEx_StateLine Flex1', 0.8936449885368347)], [[[100.0, 191.0], [199.0, 191.0], [199.0, 205.0], [100.0, 205.0]], ("Mr.Zippy's Power", 0.9266461133956909)], [[[242.0, 188.0], [278.0, 188.0], [278.0, 202.0], [242.0, 202.0]], ('16.08', 0.8304054141044617)], [[[100.0, 216.0], [153.0, 216.0], [153.0, 226.0], [100.0, 226.0]], ('SUB TOTAL', 0.9487097859382629)], [[[245.0, 215.0], [279.0, 215.0], [279.0, 225.0], [245.0, 225.0]], ('16.00', 0.9672619104385376)], [[[98.0, 238.0], [131.0, 238.0], [131.0, 252.0], [98.0, 252.0]], ('TOTAL', 0.996717631816864)], [[[238.0, 238.0], [280.0, 238.0], [280.0, 252.0], [238.0, 252.0]], ('$16.00', 0.9508362412452698)], [[[98.0, 264.0], [189.0, 262.0], [189.0, 275.0], [98.0, 277.0]], ('AMOUNT TENDERED', 0.9646885991096497)], [[[246.0, 263.0], [281.0, 263.0], [281.0, 277.0], [246.0, 277.0]], ('16.00', 0.9519369006156921)], [[[98.0, 277.0], [138.0, 277.0], [138.0, 291.0], [98.0, 291.0]], ('CHANCE', 0.9688547253608704)], [[[253.0, 278.0], [281.0, 278.0], [281.0, 291.0], [253.0, 291.0]], ('0.00', 0.7198521494865417)], [[[97.0, 303.0], [230.0, 299.0], [230.0, 313.0], [97.0, 316.0]], ('PAYMENT METHOD:Master', 0.9280253648757935)], [[[96.0, 318.0], [143.0, 314.0], [144.0, 328.0], [97.0, 332.0]], ('Account', 0.9940575957298279)], [[[162.0, 310.0], [263.0, 312.0], [263.0, 329.0], [162.0, 327.0]], ('006-xxxx-xxxx', 0.819921612739563)], [[[96.0, 331.0], [149.0, 328.0], [150.0, 342.0], [97.0, 345.0]], ('Approual', 0.9841679334640503)], [[[162.0, 327.0], [214.0, 323.0], [215.0, 338.0], [163.0, 341.0]], ('501191', 0.9673566818237305)]]
{"store_name": "ZIPS", "store_addr": "4311stateLineAve Texarkana.TX73305", "telephone": "903-255-0114", "date": "5/20/2018Sun", "time": "10:49AM", "subtotal": "16.00", "tax": "", "total": "$16.00 16.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Mr.zippy'sPower", "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
[[[[80.0, 17.0], [225.0, 11.0], [225.0, 28.0], [81.0, 34.0]], ('Saung Udig Souvenir Shop', 0.9263352751731873)], [[[70.0, 33.0], [237.0, 26.0], [238.0, 43.0], [70.0, 50.0]], ('31.Padasuka No.118 Bandung', 0.9369364976882935)], [[[98.0, 49.0], [220.0, 41.0], [221.0, 58.0], [99.0, 66.0]], ('Tep.+62227271714', 0.9479624032974243)], [[[43.0, 80.0], [129.0, 78.0], [129.0, 92.0], [43.0, 95.0]], ('21-Feb-2016', 0.9789596796035767)], [[[126.0, 78.0], [279.0, 69.0], [280.0, 83.0], [127.0, 92.0]], ('14:56 T1 AP-IV160201084', 0.9252524971961975)], [[[43.0, 94.0], [72.0, 97.0], [71.0, 112.0], [42.0, 109.0]], ('User', 0.9961934089660645)], [[[118.0, 93.0], [157.0, 93.0], [157.0, 107.0], [118.0, 107.0]], ('Nuri', 0.9645026922225952)], [[[265.0, 86.0], [280.0, 86.0], [280.0, 99.0], [265.0, 99.0]], ('#1', 0.9723443984985352)], [[[46.0, 114.0], [100.0, 114.0], [100.0, 125.0], [46.0, 125.0]], ('Pelanggan', 0.981257438659668)], [[[118.0, 109.0], [161.0, 109.0], [161.0, 124.0], [118.0, 124.0]], ('Tunai', 0.9594141244888306)], [[[46.0, 127.0], [98.0, 127.0], [98.0, 141.0], [46.0, 141.0]], ('Kelospok', 0.931734025478363)], [[[114.0, 127.0], [128.0, 127.0], [128.0, 139.0], [114.0, 139.0]], (':', 0.5760014653205872)], [[[46.0, 143.0], [121.0, 140.0], [122.0, 154.0], [46.0, 156.0]], ('Naa Klmpk', 0.8089998960494995)], [[[47.0, 158.0], [140.0, 155.0], [141.0, 169.0], [47.0, 172.0]], ('Limit Kredit :0', 0.904546856880188)], [[[48.0, 185.0], [99.0, 187.0], [98.0, 204.0], [48.0, 202.0]], ('Kode Brg', 0.9351102709770203)], [[[121.0, 185.0], [144.0, 185.0], [144.0, 201.0], [121.0, 201.0]], ('Jal', 0.9690439105033875)], [[[178.0, 185.0], [211.0, 185.0], [211.0, 199.0], [178.0, 199.0]], ('Harga', 0.9960047602653503)], [[[223.0, 182.0], [279.0, 180.0], [280.0, 195.0], [223.0, 197.0]], ('Sub Total', 0.9505946636199951)], [[[50.0, 217.0], [109.0, 217.0], [109.0, 231.0], [50.0, 231.0]], ('ANGK.SROB', 0.8958458304405212)], [[[133.0, 217.0], [143.0, 217.0], [143.0, 227.0], [133.0, 227.0]], ('1', 0.9535367488861084)], [[[168.0, 216.0], [211.0, 216.0], [211.0, 227.0], [168.0, 227.0]], ('283.000', 0.9871049523353577)], [[[234.0, 212.0], [280.0, 210.0], [281.0, 225.0], [235.0, 227.0]], ('283.000', 0.9950414896011353)], [[[49.0, 232.0], [166.0, 229.0], [167.0, 244.0], [49.0, 247.0]], ('Angkiung Sarinande 8', 0.9435067176818848)], [[[49.0, 247.0], [115.0, 245.0], [115.0, 259.0], [49.0, 261.0]], ('42340070001', 0.9958285689353943)], [[[174.0, 244.0], [213.0, 244.0], [213.0, 258.0], [174.0, 258.0]], ('35.000', 0.9924273490905762)], [[[242.0, 242.0], [281.0, 242.0], [281.0, 257.0], [242.0, 257.0]], ('35.000', 0.9368534088134766)], [[[50.0, 262.0], [114.0, 262.0], [114.0, 276.0], [50.0, 276.0]], ('Suling Ukir', 0.9481010437011719)], [[[134.0, 291.0], [179.0, 291.0], [179.0, 305.0], [134.0, 305.0]], ('2Items', 0.9046949744224548)], [[[238.0, 288.0], [283.0, 288.0], [283.0, 303.0], [238.0, 303.0]], ('318.000', 0.9884623289108276)], [[[145.0, 304.0], [185.0, 307.0], [184.0, 322.0], [144.0, 319.0]], ('Diskon', 0.9716681838035583)], [[[274.0, 305.0], [285.0, 305.0], [285.0, 319.0], [274.0, 319.0]], ('D', 0.6258400082588196)], [[[146.0, 338.0], [179.0, 338.0], [179.0, 353.0], [146.0, 353.0]], ('Total', 0.9934300184249878)], [[[240.0, 333.0], [288.0, 336.0], [288.0, 354.0], [239.0, 351.0]], ('318.000', 0.9962061047554016)], [[[146.0, 369.0], [180.0, 372.0], [179.0, 388.0], [145.0, 385.0]], ('Bayar', 0.9821313619613647)], [[[243.0, 371.0], [288.0, 371.0], [288.0, 385.0], [243.0, 385.0]], ('318.000', 0.9832605719566345)], [[[148.0, 404.0], [222.0, 406.0], [222.0, 421.0], [147.0, 419.0]], ('Cara Bayar :', 0.9142945408821106)], [[[147.0, 422.0], [181.0, 422.0], [181.0, 437.0], [147.0, 437.0]], ('Tunai', 0.9868183135986328)], [[[245.0, 422.0], [292.0, 422.0], [292.0, 436.0], [245.0, 436.0]], ('318.000', 0.9957402348518372)]]
{"store_name": "", "store_addr": "31.PadasukaNo.118Bandung", "telephone": "+62227271714", "date": "21-Feb-2016,", "time": "14:56", "subtotal": "318.000", "tax": "", "total": "318.000 318.000 318.000", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ANGK.SR08", "item_value": "283.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AngklungSarinande8", "item_value": "35.000", "item_quantity": "1"}, {"item_key": "", "item_name": "42340070001", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SulingUkir", "item_value": "", "item_quantity": ""}, {"item_key": "KodeBrg", "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
[[[[120.0, 23.0], [329.0, 18.0], [330.0, 34.0], [121.0, 39.0]], ('Hard Rock Cafe - Amsterdam', 0.9407773613929749)], [[[142.0, 38.0], [297.0, 33.0], [297.0, 47.0], [143.0, 52.0]], ('Max Euweplein 59-61', 0.9414605498313904)], [[[144.0, 51.0], [306.0, 47.0], [306.0, 61.0], [144.0, 65.0]], ('NL-1017 MA Amsterdam', 0.9657877683639526)], [[[94.0, 79.0], [200.0, 79.0], [200.0, 93.0], [94.0, 93.0]], ('200088229DON', 0.9497022032737732)], [[[92.0, 107.0], [144.0, 107.0], [144.0, 124.0], [92.0, 124.0]], ('55/1', 0.9964599609375)], [[[273.0, 105.0], [317.0, 105.0], [317.0, 121.0], [273.0, 121.0]], ('GST1', 0.9846717119216919)], [[[191.0, 122.0], [255.0, 122.0], [255.0, 136.0], [191.0, 136.0]], ('3207', 0.9985323548316956)], [[[165.0, 135.0], [284.0, 134.0], [284.0, 151.0], [165.0, 152.0]], ('21N0V1513:56', 0.9540664553642273)], [[[106.0, 181.0], [258.0, 181.0], [258.0, 195.0], [106.0, 195.0]], ('1TWISTD MAC &CHZ', 0.9435380697250366)], [[[292.0, 179.0], [335.0, 179.0], [335.0, 194.0], [292.0, 194.0]], ('15.25', 0.9978060722351074)], [[[140.0, 197.0], [208.0, 197.0], [208.0, 211.0], [140.0, 211.0]], ('ADD MUSH', 0.9469583630561829)], [[[298.0, 193.0], [338.0, 193.0], [338.0, 211.0], [298.0, 211.0]], ('2.25', 0.9927575588226318)], [[[120.0, 212.0], [232.0, 212.0], [232.0, 226.0], [120.0, 226.0]], ('APPLE COBBLER', 0.9733594059944153)], [[[300.0, 210.0], [336.0, 210.0], [336.0, 225.0], [300.0, 225.0]], ('7.25', 0.9901675581932068)], [[[105.0, 230.0], [118.0, 230.0], [118.0, 239.0], [105.0, 239.0]], ('1', 0.6514933705329895)], [[[116.0, 227.0], [158.0, 227.0], [158.0, 242.0], [116.0, 242.0]], ('SODA', 0.9959183931350708)], [[[301.0, 226.0], [338.0, 226.0], [338.0, 241.0], [301.0, 241.0]], ('4.20', 0.9949602484703064)], [[[119.0, 257.0], [158.0, 257.0], [158.0, 275.0], [119.0, 275.0]], ('Food', 0.9979532957077026)], [[[291.0, 256.0], [341.0, 256.0], [341.0, 274.0], [291.0, 274.0]], ('28.95', 0.9883073568344116)], [[[84.0, 275.0], [198.0, 275.0], [198.0, 289.0], [84.0, 289.0]], ('15:05 Amt Due', 0.9320181608200073)], [[[207.0, 289.0], [309.0, 289.0], [309.0, 306.0], [207.0, 306.0]], ('28.95', 0.9901102781295776)], [[[108.0, 324.0], [147.0, 324.0], [147.0, 339.0], [108.0, 339.0]], ('1.64', 0.971537172794342)], [[[162.0, 324.0], [259.0, 324.0], [259.0, 339.0], [162.0, 339.0]], ('Food BTW 6%', 0.8718655109405518)], [[[313.0, 322.0], [362.0, 322.0], [362.0, 341.0], [313.0, 341.0]], ('28.95', 0.994997501373291)], [[[161.0, 341.0], [225.0, 341.0], [225.0, 358.0], [161.0, 358.0]], ('NET TTL', 0.937656581401825)], [[[313.0, 341.0], [362.0, 341.0], [362.0, 359.0], [313.0, 359.0]], ('27.31', 0.996630847454071)], [[[161.0, 377.0], [287.0, 377.0], [287.0, 391.0], [161.0, 391.0]], ('K.V.K33298713', 0.9641097187995911)], [[[123.0, 392.0], [324.0, 393.0], [324.0, 410.0], [123.0, 409.0]], ('B.T.W.8065.75.293B01', 0.9518085718154907)], [[[130.0, 410.0], [318.0, 412.0], [318.0, 429.0], [130.0, 427.0]], ('Service Not Included', 0.9828262329101562)], [[[74.0, 428.0], [375.0, 431.0], [375.0, 447.0], [74.0, 444.0]], ('+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=', 0.9442750215530396)]]
{"store_name": "HardRockCafe-Amsterdam", "store_addr": "MaxEuweplein59-61 NL-1017MAAmsterdam", "telephone": "", "date": "21NOV\u00b415", "time": "15:05", "subtotal": "27.31", "tax": "1.64", "total": "28.95 \u20ac28.95 28.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TWISTDMAC&CHZ", "item_value": "15.25", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDMUSH", "item_value": "2.25", "item_quantity": "1"}, {"item_key": "", "item_name": "APPIECOBBLER", "item_value": "7.25", "item_quantity": "1"}, {"item_key": "", "item_name": "SODA", "item_value": "4.20", "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
[[[[215.0, 370.0], [469.0, 369.0], [469.0, 390.0], [215.0, 392.0]], ('MITCHELLSMITH', 0.9959665536880493)], [[[204.0, 397.0], [475.0, 392.0], [476.0, 414.0], [204.0, 418.0]], ('NIE:X1807353-J', 0.9493383765220642)], [[[58.0, 418.0], [443.0, 418.0], [443.0, 443.0], [58.0, 443.0]], ('CALLE AGUILAR7-07660', 0.955245316028595)], [[[469.0, 417.0], [629.0, 415.0], [630.0, 436.0], [469.0, 439.0]], ('CALA EGOS', 0.9668918251991272)], [[[136.0, 466.0], [546.0, 464.0], [547.0, 493.0], [136.0, 495.0]], ('Mesa 4 Camarero :1', 0.923040509223938)], [[[49.0, 500.0], [357.0, 499.0], [357.0, 522.0], [49.0, 523.0]], ('02/09/2017Factura8132', 0.9914631843566895)], [[[82.0, 557.0], [286.0, 557.0], [286.0, 582.0], [82.0, 582.0]], ('1J.YORK/QUESO', 0.9818278551101685)], [[[585.0, 558.0], [645.0, 558.0], [645.0, 587.0], [585.0, 587.0]], ('4,50', 0.9665956497192383)], [[[77.0, 588.0], [171.0, 588.0], [171.0, 614.0], [77.0, 614.0]], ('1ATUN', 0.9909855723381042)], [[[588.0, 590.0], [648.0, 590.0], [648.0, 619.0], [588.0, 619.0]], ('4,20', 0.9557107090950012)], [[[73.0, 621.0], [263.0, 619.0], [263.0, 644.0], [73.0, 647.0]], ('11L.SANGRIA', 0.9737545251846313)], [[[589.0, 622.0], [651.0, 622.0], [651.0, 654.0], [589.0, 654.0]], ('8,00', 0.9733255505561829)], [[[294.0, 694.0], [649.0, 702.0], [648.0, 750.0], [293.0, 742.0]], ('TOTAL...16,70', 0.9624141454696655)], [[[392.0, 757.0], [655.0, 761.0], [654.0, 791.0], [392.0, 787.0]], ('EFECTIVO...16,70', 0.9387667775154114)], [[[168.0, 855.0], [505.0, 860.0], [505.0, 885.0], [168.0, 881.0]], ('IVA 10% INCLUIDO', 0.9325928092002869)], [[[148.0, 885.0], [526.0, 892.0], [525.0, 922.0], [147.0, 915.0]], ('10% TAXES INCLUDED', 0.9430223107337952)]]
{"store_name": "CENTRALPARKSTEAKHOUSE", "store_addr": "CALLEAGUILAR,7-07660CALAEGOS", "telephone": "", "date": "02/09/2017", "time": "", "subtotal": "", "tax": "", "total": "16,70 16,70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "J.YORK/QUESO", "item_value": "4,50", "item_quantity": "1"}, {"item_key": "", "item_name": "ATUN", "item_value": "4,20", "item_quantity": "1"}, {"item_key": "", "item_name": "1L.SANGRIA", "item_value": "8,00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[165.0, 60.0], [524.0, 49.0], [527.0, 141.0], [168.0, 152.0]], ('BURGERCRAFT', 0.9889251589775085)], [[[232.0, 165.0], [463.0, 155.0], [464.0, 173.0], [233.0, 183.0]], ('100% GRASSFEO BEEF', 0.7967417240142822)], [[[271.0, 225.0], [420.0, 221.0], [421.0, 246.0], [272.0, 250.0]], ('Burger Craft', 0.9770910143852234)], [[[315.0, 282.0], [380.0, 282.0], [380.0, 305.0], [315.0, 305.0]], ('Plaza', 0.9952918291091919)], [[[230.0, 312.0], [465.0, 308.0], [466.0, 333.0], [230.0, 337.0]], ('Fort Mi11SC 29708', 0.931402862071991)], [[[60.0, 374.0], [275.0, 371.0], [275.0, 396.0], [60.0, 399.0]], ('Server: Jasmine S', 0.9140077829360962)], [[[447.0, 368.0], [655.0, 361.0], [655.0, 389.0], [448.0, 396.0]], ('03/01/176:31PM', 0.9767452478408813)], [[[624.0, 392.0], [658.0, 392.0], [658.0, 424.0], [624.0, 424.0]], ('28', 0.9954637885093689)], [[[59.0, 403.0], [174.0, 401.0], [175.0, 429.0], [60.0, 431.0]], ('Check #29', 0.9507849216461182)], [[[57.0, 466.0], [373.0, 462.0], [373.0, 487.0], [58.0, 491.0]], ('2 Wednesday $5 Burger Day', 0.9382133483886719)], [[[574.0, 457.0], [658.0, 453.0], [660.0, 482.0], [575.0, 486.0]], ('$10.00', 0.9954712986946106)], [[[68.0, 497.0], [185.0, 497.0], [185.0, 523.0], [68.0, 523.0]], ('Provoione', 0.9912816286087036)], [[[589.0, 488.0], [659.0, 484.0], [661.0, 514.0], [590.0, 518.0]], ('$1.90', 0.9015613794326782)], [[[56.0, 528.0], [247.0, 525.0], [247.0, 553.0], [57.0, 556.0]], ('Reg Onion Rings', 0.9641112685203552)], [[[590.0, 519.0], [662.0, 516.0], [663.0, 547.0], [591.0, 549.0]], ('$2.95', 0.9293774366378784)], [[[55.0, 560.0], [209.0, 560.0], [209.0, 585.0], [55.0, 585.0]], ('6.BC Turkey', 0.9468923807144165)], [[[592.0, 552.0], [662.0, 550.0], [663.0, 577.0], [593.0, 579.0]], ('$7.50', 0.9961497187614441)], [[[592.0, 583.0], [665.0, 580.0], [666.0, 610.0], [593.0, 613.0]], ('$1.99', 0.9954954385757446)], [[[54.0, 594.0], [235.0, 589.0], [236.0, 614.0], [55.0, 619.0]], ('Fountain Drink', 0.9735174179077148)], [[[594.0, 615.0], [667.0, 612.0], [668.0, 643.0], [595.0, 646.0]], ('$1.99', 0.9958545565605164)], [[[53.0, 626.0], [236.0, 622.0], [237.0, 648.0], [54.0, 652.0]], ('Fountain Drink', 0.9635137915611267)], [[[50.0, 689.0], [158.0, 685.0], [159.0, 715.0], [51.0, 719.0]], ('Subtotal', 0.9871634244918823)], [[[586.0, 681.0], [672.0, 681.0], [672.0, 711.0], [586.0, 711.0]], ('$26.33', 0.9362595081329346)], [[[49.0, 722.0], [96.0, 722.0], [96.0, 751.0], [49.0, 751.0]], ('Tax', 0.9968335032463074)], [[[601.0, 716.0], [675.0, 716.0], [675.0, 746.0], [601.0, 746.0]], ('$1.84', 0.896594226360321)], [[[49.0, 755.0], [121.0, 752.0], [122.0, 783.0], [50.0, 786.0]], ('Total', 0.9958489537239075)], [[[591.0, 751.0], [676.0, 751.0], [676.0, 781.0], [591.0, 781.0]], ('$28.17', 0.9955573678016663)], [[[49.0, 820.0], [109.0, 820.0], [109.0, 852.0], [49.0, 852.0]], ('Cash', 0.9977790713310242)], [[[583.0, 821.0], [680.0, 821.0], [680.0, 851.0], [583.0, 851.0]], ('-$28.17', 0.9517332911491394)], [[[50.0, 857.0], [186.0, 851.0], [187.0, 880.0], [51.0, 886.0]], ('Amount Due', 0.9666792154312134)], [[[607.0, 857.0], [682.0, 854.0], [683.0, 885.0], [608.0, 888.0]], ('$0.00', 0.9981026649475098)], [[[145.0, 913.0], [569.0, 920.0], [569.0, 952.0], [145.0, 946.0]], ('Thanks for visiting Burger Craft', 0.9604698419570923)], [[[244.0, 949.0], [470.0, 958.0], [469.0, 987.0], [243.0, 978.0]], ('Please come again', 0.9549360871315002)]]
{"store_name": "BURGERCRAFT BurgerCraft", "store_addr": "TegaCayvillageShoppingCenter817Crossroads Plaza FortMill,SC29708", "telephone": "", "date": "03/01/17", "time": "6:31PM", "subtotal": "$26.33", "tax": "$1.84", "total": "$28.17", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Wednesday$5BurgerDay", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Provolone", "item_value": "$1.90", "item_quantity": "1"}, {"item_key": "", "item_name": "RegOnionRings", "item_value": "$2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BCTurkey", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FountainDrink", "item_value": "$1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FountainDrink", "item_value": "$1.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json
[[[[114.0, 52.0], [225.0, 50.0], [225.0, 64.0], [114.0, 66.0]], ('YOUR GUEST NUMBER IS', 0.9413777589797974)], [[[158.0, 65.0], [181.0, 65.0], [181.0, 77.0], [158.0, 77.0]], ('53', 0.9996218681335449)], [[[109.0, 88.0], [232.0, 85.0], [233.0, 99.0], [110.0, 103.0]], ('IN-N-OUT BURGER IRVING', 0.9458022713661194)], [[[129.0, 102.0], [211.0, 98.0], [211.0, 112.0], [130.0, 116.0]], ('26328842331', 0.995714008808136)], [[[57.0, 128.0], [179.0, 124.0], [180.0, 139.0], [57.0, 142.0]], ('Cashier:ELLANIQUE CO', 0.9304559826850891)], [[[56.0, 142.0], [124.0, 138.0], [125.0, 153.0], [57.0, 157.0]], ('Chec53', 0.9601025581359863)], [[[72.0, 166.0], [95.0, 166.0], [95.0, 181.0], [72.0, 181.0]], ('E-3', 0.7179169654846191)], [[[264.0, 160.0], [292.0, 160.0], [292.0, 175.0], [264.0, 175.0]], ('2.60', 0.9722745418548584)], [[[74.0, 190.0], [88.0, 190.0], [88.0, 205.0], [74.0, 205.0]], ('F:', 0.6576484441757202)], [[[267.0, 186.0], [295.0, 186.0], [295.0, 201.0], [267.0, 201.0]], ('1.70', 0.9931819438934326)], [[[70.0, 204.0], [123.0, 204.0], [123.0, 221.0], [70.0, 221.0]], ('* Shk', 0.822334885597229)], [[[266.0, 201.0], [296.0, 199.0], [297.0, 214.0], [267.0, 216.0]], ('2.25', 0.9926976561546326)], [[[52.0, 235.0], [141.0, 232.0], [141.0, 247.0], [52.0, 250.0]], ('Counter-Eat In', 0.9661531448364258)], [[[271.0, 228.0], [300.0, 228.0], [300.0, 243.0], [271.0, 243.0]], ('6.55', 0.9814650416374207)], [[[51.0, 250.0], [110.0, 248.0], [111.0, 263.0], [51.0, 265.0]], ('TAX3.25%', 0.9691104888916016)], [[[280.0, 242.0], [302.0, 242.0], [302.0, 258.0], [280.0, 258.0]], ('.54', 0.978363037109375)], [[[50.0, 265.0], [116.0, 264.0], [116.0, 279.0], [50.0, 280.0]], ('Amout Due', 0.9329158067703247)], [[[267.0, 259.0], [302.0, 257.0], [303.0, 272.0], [268.0, 275.0]], ('$7.09', 0.9927418828010559)], [[[48.0, 297.0], [117.0, 293.0], [117.0, 310.0], [49.0, 314.0]], ('Tender $50', 0.9393287897109985)], [[[265.0, 289.0], [306.0, 289.0], [306.0, 304.0], [265.0, 304.0]], ('$50.00', 0.9945645332336426)], [[[266.0, 303.0], [307.0, 303.0], [307.0, 321.0], [266.0, 321.0]], ('$42.91', 0.9630842208862305)], [[[49.0, 313.0], [91.0, 313.0], [91.0, 327.0], [49.0, 327.0]], ('Change', 0.9968850016593933)], [[[113.0, 325.0], [240.0, 320.0], [240.0, 337.0], [114.0, 342.0]], ('THANK YOU!', 0.936608612537384)], [[[53.0, 345.0], [298.0, 336.0], [299.0, 353.0], [53.0, 362.0]], ('Questions/Comments:Ca11 800-786-1000', 0.9510155916213989)], [[[44.0, 379.0], [115.0, 376.0], [115.0, 394.0], [45.0, 396.0]], ('2016-01-22', 0.9832855463027954)], [[[158.0, 374.0], [197.0, 374.0], [197.0, 393.0], [158.0, 393.0]], ('L1 T2', 0.9111204147338867)], [[[266.0, 371.0], [316.0, 371.0], [316.0, 389.0], [266.0, 389.0]], ('9:28FM', 0.9203761219978333)]]
{"store_name": "IN-N-OUTBURGERIRVING", "store_addr": "", "telephone": "26328842331", "date": "2016-01-22", "time": "9:28FM", "subtotal": "6.55", "tax": ".54", "total": "$7.09", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "C-B", "item_value": "2.60", "item_quantity": "1"}, {"item_key": "", "item_name": "**VShk", "item_value": "1.70", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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
[[[[108.0, 22.0], [220.0, 19.0], [221.0, 40.0], [109.0, 43.0]], ('VAPiANO', 0.95191490650177)], [[[81.0, 72.0], [237.0, 77.0], [237.0, 92.0], [81.0, 86.0]], ('77700 Marne la Vallee Chessy', 0.9246557950973511)], [[[114.0, 63.0], [206.0, 65.0], [205.0, 79.0], [113.0, 77.0]], ('Disneyland Paris', 0.9204555153846741)], [[[87.0, 84.0], [227.0, 86.0], [226.0, 101.0], [86.0, 98.0]], ('Telephone +33 160422679', 0.9167422652244568)], [[[86.0, 95.0], [226.0, 96.0], [226.0, 111.0], [85.0, 109.0]], ('e-nal:[email protected]', 0.8411501049995422)], [[[119.0, 129.0], [194.0, 130.0], [194.0, 144.0], [119.0, 143.0]], ('Recu de vente', 0.9631125330924988)], [[[40.0, 161.0], [146.0, 162.0], [146.0, 176.0], [40.0, 175.0]], ('N.de transactlon', 0.9345278739929199)], [[[42.0, 172.0], [72.0, 175.0], [71.0, 187.0], [41.0, 185.0]], ('Date:', 0.9746673703193665)], [[[152.0, 163.0], [179.0, 163.0], [179.0, 176.0], [152.0, 176.0]], ('6162', 0.9967933297157288)], [[[41.0, 184.0], [79.0, 187.0], [78.0, 198.0], [40.0, 195.0]], ('Heure:', 0.9846842885017395)], [[[154.0, 175.0], [210.0, 175.0], [210.0, 186.0], [154.0, 186.0]], ('25/12/2016', 0.997234046459198)], [[[40.0, 195.0], [152.0, 195.0], [152.0, 208.0], [40.0, 208.0]], ('Vous avez ete servl', 0.878365695476532)], [[[153.0, 186.0], [199.0, 186.0], [199.0, 197.0], [153.0, 197.0]], ('22:46:33', 0.9512109756469727)], [[[146.0, 196.0], [199.0, 197.0], [199.0, 208.0], [146.0, 207.0]], ('anthony', 0.934860110282898)], [[[41.0, 218.0], [83.0, 218.0], [83.0, 229.0], [41.0, 229.0]], ('Client:', 0.9139243960380554)], [[[115.0, 217.0], [172.0, 217.0], [172.0, 228.0], [115.0, 228.0]], ('4563206968', 0.9807101488113403)], [[[41.0, 252.0], [106.0, 252.0], [106.0, 263.0], [41.0, 263.0]], ('Desisnation', 0.972273588180542)], [[[163.0, 248.0], [222.0, 250.0], [221.0, 264.0], [162.0, 262.0]], ('Qt6 x prx', 0.7090343236923218)], [[[240.0, 248.0], [283.0, 250.0], [282.0, 264.0], [239.0, 262.0]], ('Montant', 0.9434990882873535)], [[[40.0, 273.0], [153.0, 272.0], [153.0, 285.0], [40.0, 286.0]], ('Type de pasta Penne', 0.9267538189888)], [[[161.0, 273.0], [221.0, 273.0], [221.0, 284.0], [161.0, 284.0]], ('10,00 EUR', 0.8660683035850525)], [[[234.0, 271.0], [283.0, 271.0], [283.0, 285.0], [234.0, 285.0]], ('0.00EUR', 0.9149259924888611)], [[[39.0, 284.0], [223.0, 282.0], [223.0, 295.0], [39.0, 297.0]], ('Pasta Chcken A1fredo115,20 EUR', 0.9160301685333252)], [[[230.0, 284.0], [283.0, 284.0], [283.0, 294.0], [230.0, 294.0]], ('15,20EUR', 0.9340782165527344)], [[[191.0, 316.0], [224.0, 319.0], [223.0, 333.0], [190.0, 330.0]], ('Sonne', 0.8976981043815613)], [[[232.0, 318.0], [284.0, 318.0], [284.0, 329.0], [232.0, 329.0]], ('15,20EUR', 0.9341602325439453)], [[[141.0, 341.0], [224.0, 341.0], [224.0, 355.0], [141.0, 355.0]], ('Incl.10xTVA', 0.8510935306549072)], [[[236.0, 340.0], [286.0, 340.0], [286.0, 354.0], [236.0, 354.0]], ('1,38EUR', 0.9003750681877136)], [[[178.0, 351.0], [224.0, 354.0], [223.0, 368.0], [177.0, 365.0]], ('PrxHT', 0.9580268859863281)], [[[232.0, 352.0], [286.0, 352.0], [286.0, 366.0], [232.0, 366.0]], ('13.82EUR', 0.916948139667511)], [[[100.0, 365.0], [224.0, 365.0], [224.0, 379.0], [100.0, 379.0]], ('Mode de palenent Cash', 0.8790974617004395)], [[[243.0, 364.0], [288.0, 364.0], [288.0, 378.0], [243.0, 378.0]], ('20.000', 0.935450553894043)], [[[104.0, 378.0], [224.0, 376.0], [224.0, 390.0], [104.0, 392.0]], ('Retour d.arsent Cash', 0.9485698938369751)], [[[250.0, 377.0], [287.0, 377.0], [287.0, 388.0], [250.0, 388.0]], ('4,800', 0.8642693758010864)], [[[94.0, 414.0], [219.0, 412.0], [219.0, 426.0], [94.0, 428.0]], ('ID-NrFR 91531223113', 0.9676375985145569)], [[[116.0, 427.0], [205.0, 426.0], [206.0, 439.0], [116.0, 440.0]], ('www.vapano.con', 0.898108184337616)]]
{"store_name": "VAPiANO VapianoDisney", "store_addr": "DisneylandParis 77700MarnelaValleeChessy", "telephone": "+33160422679", "date": "25/12/2016", "time": "22:46:33", "subtotal": "13,82EUR", "tax": "1,38EUR", "total": "15,20EUR", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TypedepastaPenne", "item_value": "0,00EUR", "item_quantity": "1"}, {"item_key": "", "item_name": "PastaChickenAlfredo", "item_value": "15,20EUR", "item_quantity": "1"}, {"item_key": "D\u00e9signation", "item_name": "", "item_value": "", "item_quantity": ""}]}