Datasets:

GHOFRANEE
/

Dataset_ocr_to_json

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Split (2)

train · 2.14k rows

instruction stringclasses 1 value	input stringlengths 586 18k	output stringlengths 161 5.19k
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[276.0, 236.0], [420.0, 239.0], [420.0, 265.0], [276.0, 261.0]], ('Latventura', 0.9130999445915222)], [[[291.0, 260.0], [400.0, 260.0], [400.0, 278.0], [291.0, 278.0]], ('RESTAURANTE', 0.9968574047088623)], [[[309.0, 276.0], [381.0, 276.0], [381.0, 287.0], [309.0, 287.0]], ('ince1967', 0.7709881663322449)], [[[291.0, 290.0], [398.0, 289.0], [398.0, 308.0], [291.0, 309.0]], ('Calle Far7', 0.9405310750007629)], [[[266.0, 313.0], [423.0, 313.0], [423.0, 331.0], [266.0, 331.0]], ('07691Porto Petro', 0.9386155605316162)], [[[267.0, 335.0], [419.0, 334.0], [419.0, 352.0], [267.0, 353.0]], ('C.I.F.E07994650', 0.9692851305007935)], [[[157.0, 354.0], [406.0, 355.0], [406.0, 378.0], [157.0, 377.0]], ('Mesa numero:6', 0.9553989768028259)], [[[165.0, 401.0], [265.0, 401.0], [265.0, 420.0], [165.0, 420.0]], ('2 Copa Vino', 0.9345887899398804)], [[[494.0, 398.0], [536.0, 398.0], [536.0, 418.0], [494.0, 418.0]], ('6,00', 0.9559702277183533)], [[[164.0, 422.0], [264.0, 425.0], [264.0, 444.0], [163.0, 441.0]], ('1 Coca Cola', 0.9252256751060486)], [[[493.0, 422.0], [536.0, 419.0], [537.0, 440.0], [494.0, 443.0]], ('2,40', 0.9312913417816162)], [[[162.0, 446.0], [325.0, 448.0], [325.0, 466.0], [161.0, 464.0]], ('1 Ca lamar Anda luza', 0.9077329635620117)], [[[495.0, 444.0], [537.0, 444.0], [537.0, 464.0], [495.0, 464.0]], ('7,50', 0.88848876953125)], [[[162.0, 468.0], [309.0, 472.0], [308.0, 491.0], [161.0, 487.0]], ('1 Patatas Bravas', 0.9571785926818848)], [[[494.0, 466.0], [538.0, 466.0], [538.0, 490.0], [494.0, 490.0]], ('5,50', 0.9645586609840393)], [[[159.0, 492.0], [360.0, 494.0], [360.0, 512.0], [159.0, 510.0]], ('2 Pan Alioli Aceitunas', 0.9389759302139282)], [[[495.0, 492.0], [539.0, 492.0], [539.0, 512.0], [495.0, 512.0]], ('3,40', 0.929273247718811)], [[[151.0, 541.0], [242.0, 541.0], [242.0, 559.0], [151.0, 559.0]], ('Total', 0.9962517023086548)], [[[442.0, 541.0], [537.0, 541.0], [537.0, 560.0], [442.0, 560.0]], ('2480', 0.9957557320594788)], [[[147.0, 589.0], [227.0, 589.0], [227.0, 607.0], [147.0, 607.0]], ('EFECTIVO', 0.9957031011581421)], [[[489.0, 591.0], [541.0, 591.0], [541.0, 610.0], [489.0, 610.0]], ('24,80', 0.9274388551712036)], [[[139.0, 663.0], [211.0, 660.0], [212.0, 683.0], [140.0, 686.0]], ('IVA 10%', 0.9333664774894714)], [[[347.0, 662.0], [399.0, 662.0], [399.0, 687.0], [347.0, 687.0]], ('22,55', 0.9571105241775513)], [[[500.0, 666.0], [547.0, 666.0], [547.0, 690.0], [500.0, 690.0]], ('2,25', 0.951449990272522)], [[[139.0, 689.0], [301.0, 689.0], [301.0, 710.0], [139.0, 710.0]], ('Facturacion neta.', 0.9529930353164673)], [[[485.0, 693.0], [547.0, 693.0], [547.0, 717.0], [485.0, 717.0]], ('22,55', 0.9336317181587219)], [[[137.0, 715.0], [211.0, 715.0], [211.0, 737.0], [137.0, 737.0]], ('Total..', 0.9758296012878418)], [[[478.0, 720.0], [548.0, 720.0], [548.0, 743.0], [478.0, 743.0]], ('2480', 0.9928969144821167)], [[[135.0, 792.0], [358.0, 797.0], [357.0, 819.0], [134.0, 815.0]], ('Fra.Simplificada:6287', 0.9645227789878845)], [[[133.0, 820.0], [312.0, 822.0], [312.0, 844.0], [133.0, 842.0]], ('Oper.Caja Ticket', 0.9436789155006409)], [[[336.0, 823.0], [498.0, 830.0], [497.0, 852.0], [335.0, 845.0]], ('Fecha/Hora/Turno', 0.9949324131011963)], [[[131.0, 845.0], [290.0, 848.0], [290.0, 871.0], [131.0, 867.0]], ('00001 00001 6396', 0.9458144903182983)], [[[338.0, 851.0], [549.0, 859.0], [548.0, 880.0], [337.0, 872.0]], ('06/09/2017 13:45:101', 0.951537013053894)], [[[234.0, 873.0], [442.0, 882.0], [441.0, 905.0], [233.0, 896.0]], ('Gracias por su visita', 0.9492291212081909)], [[[262.0, 901.0], [413.0, 907.0], [412.0, 929.0], [262.0, 923.0]], ('I.V.A.incluido', 0.9805759787559509)]]	{"store_name": "LaAventuia RESTAURANTE", "store_addr": "CalleFar,7 07691,PortoPetro", "telephone": "", "date": "06/09/2017", "time": "13:45:10", "subtotal": "22,55 22,55", "tax": "2,25", "total": "24,80 24,80 24,80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CopaVino", "item_value": "6,00", "item_quantity": "1"}, {"item_key": "", "item_name": "CocaCola", "item_value": "2,40", "item_quantity": "1"}, {"item_key": "", "item_name": "CalamarAndaluza", "item_value": "7,50", "item_quantity": "1"}, {"item_key": "", "item_name": "PatatasBravas", "item_value": "5,50", "item_quantity": "1"}, {"item_key": "", "item_name": "PanAlioliAceitunas", "item_value": "3,40", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[76.0, 17.0], [194.0, 13.0], [194.0, 26.0], [77.0, 30.0]], ('Thecooperative food', 0.9376111030578613)], [[[124.0, 25.0], [221.0, 23.0], [221.0, 33.0], [124.0, 35.0]], ('Cureral England Co-ocoraivo', 0.7709004878997803)], [[[75.0, 38.0], [221.0, 35.0], [221.0, 45.0], [76.0, 48.0]], ('Central Ergland Co-operative', 0.8343125581741333)], [[[113.0, 58.0], [191.0, 56.0], [191.0, 67.0], [113.0, 69.0]], ('VAT508037563', 0.9328100085258484)], [[[42.0, 91.0], [131.0, 89.0], [131.0, 100.0], [42.0, 102.0]], ('OPER10R:999004', 0.8097944855690002)], [[[57.0, 134.0], [72.0, 134.0], [72.0, 144.0], [57.0, 144.0]], ('PR', 0.982440710067749)], [[[83.0, 131.0], [195.0, 129.0], [195.0, 142.0], [83.0, 144.0]], ('EO-OP WHOLEMERL LOR', 0.7967270016670227)], [[[221.0, 129.0], [246.0, 129.0], [246.0, 141.0], [221.0, 141.0]], ('0.75', 0.9905332326889038)], [[[56.0, 143.0], [72.0, 143.0], [72.0, 155.0], [56.0, 155.0]], ('PR', 0.9866300821304321)], [[[82.0, 141.0], [172.0, 139.0], [172.0, 152.0], [82.0, 154.0]], ('CO-OP SOFT CHSE', 0.9167124032974243)], [[[222.0, 139.0], [247.0, 139.0], [247.0, 150.0], [222.0, 150.0]], ('1.05', 0.989601731300354)], [[[56.0, 151.0], [72.0, 151.0], [72.0, 163.0], [56.0, 163.0]], ('PR', 0.99360191822052)], [[[222.0, 147.0], [249.0, 147.0], [249.0, 160.0], [222.0, 160.0]], ('4.25', 0.9879077076911926)], [[[57.0, 162.0], [70.0, 162.0], [70.0, 171.0], [57.0, 171.0]], ('PR', 0.993800163269043)], [[[82.0, 158.0], [193.0, 157.0], [193.0, 171.0], [82.0, 172.0]], ('CP RASPEERRIES PUNN', 0.9044967293739319)], [[[223.0, 156.0], [248.0, 156.0], [248.0, 168.0], [223.0, 168.0]], ('2.00', 0.9929955005645752)], [[[56.0, 170.0], [71.0, 170.0], [71.0, 182.0], [56.0, 182.0]], ('PR', 0.9321659207344055)], [[[83.0, 169.0], [197.0, 167.0], [197.0, 178.0], [83.0, 180.0]], ('GOAHEAD CRISPY FRUI', 0.8621526956558228)], [[[224.0, 166.0], [248.0, 166.0], [248.0, 177.0], [224.0, 177.0]], ('1.00', 0.9943642020225525)], [[[55.0, 179.0], [71.0, 179.0], [71.0, 191.0], [55.0, 191.0]], ('PR', 0.9146459102630615)], [[[82.0, 178.0], [199.0, 174.0], [199.0, 187.0], [83.0, 191.0]], ('CP BBY.JERSEY ROYALS', 0.874510645866394)], [[[224.0, 175.0], [249.0, 175.0], [249.0, 187.0], [224.0, 187.0]], ('1.00', 0.9835848808288574)], [[[56.0, 188.0], [71.0, 188.0], [71.0, 200.0], [56.0, 200.0]], ('PR', 0.978690505027771)], [[[82.0, 187.0], [173.0, 185.0], [173.0, 198.0], [82.0, 200.0]], ('NAP TOM PASSATA', 0.8984687924385071)], [[[223.0, 185.0], [250.0, 185.0], [250.0, 196.0], [223.0, 196.0]], ('0.59', 0.9868682622909546)], [[[56.0, 198.0], [71.0, 198.0], [71.0, 211.0], [56.0, 211.0]], ('PR', 0.8131512999534607)], [[[82.0, 196.0], [172.0, 194.0], [172.0, 207.0], [82.0, 209.0]], ('CO-OP BAGUETTES', 0.9264580011367798)], [[[225.0, 194.0], [250.0, 194.0], [250.0, 205.0], [225.0, 205.0]], ('1.39', 0.9948744773864746)], [[[56.0, 209.0], [71.0, 209.0], [71.0, 219.0], [56.0, 219.0]], ('PR', 0.9822996854782104)], [[[81.0, 207.0], [173.0, 204.0], [173.0, 217.0], [82.0, 220.0]], ('NAP TOM PASSATA', 0.9021216034889221)], [[[224.0, 204.0], [251.0, 204.0], [251.0, 215.0], [224.0, 215.0]], ('0.59', 0.9867262244224548)], [[[84.0, 225.0], [143.0, 223.0], [144.0, 236.0], [84.0, 238.0]], ('AMOUNT DUE', 0.9104396104812622)], [[[220.0, 223.0], [251.0, 223.0], [251.0, 233.0], [220.0, 233.0]], ('12.62', 0.9927956461906433)], [[[40.0, 248.0], [52.0, 248.0], [52.0, 257.0], [40.0, 257.0]], ('VF', 0.8963695764541626)], [[[84.0, 245.0], [150.0, 243.0], [150.0, 254.0], [84.0, 256.0]], ('Credit Card', 0.9489355087280273)], [[[222.0, 241.0], [251.0, 241.0], [251.0, 252.0], [222.0, 252.0]], ('12.62', 0.9913519024848938)], [[[39.0, 255.0], [155.0, 253.0], [155.0, 266.0], [39.0, 268.0]], ('ACCOUNT NUMBER **', 0.8618922233581543)], [[[178.0, 252.0], [218.0, 252.0], [218.0, 262.0], [178.0, 262.0]], ('9378', 0.8779699802398682)], [[[38.0, 268.0], [114.0, 264.0], [114.0, 274.0], [38.0, 278.0]], ('ATH003773', 0.9000856876373291)], [[[81.0, 276.0], [121.0, 273.0], [122.0, 284.0], [82.0, 287.0]], ('CHANGE', 0.9874079823493958)], [[[226.0, 270.0], [251.0, 270.0], [251.0, 281.0], [226.0, 281.0]], ('0.00', 0.9907438158988953)], [[[78.0, 292.0], [233.0, 287.0], [233.0, 300.0], [79.0, 305.0]], ('Please follou us on Titter', 0.8747235536575317)], [[[124.0, 302.0], [191.0, 299.0], [191.0, 311.0], [125.0, 313.0]], ('@ycoopfood', 0.9724839925765991)], [[[54.0, 321.0], [261.0, 313.0], [261.0, 327.0], [55.0, 334.0]], ('12/05/201511:360626024 0032999004', 0.9326868653297424)], [[[57.0, 312.0], [256.0, 304.0], [256.0, 318.0], [58.0, 325.0]], ('Visit us at ww.centralengland.coop', 0.9323117136955261)]]	{"store_name": "Thecooperativefood", "store_addr": "", "telephone": "01778344599", "date": "12/05/2015", "time": "11:36", "subtotal": "", "tax": "", "total": "12.62 12.62", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CO-OPWHOLEMERLLORF", "item_value": "0.59", "item_quantity": "1"}, {"item_key": "", "item_name": "CO-OPSOFTCHSE", "item_value": "1.39", "item_quantity": "1"}, {"item_key": "", "item_name": "COTICUBEDBEEF", "item_value": "0.59", "item_quantity": "1"}, {"item_key": "", "item_name": "CPRASPEERRIESPUNN", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GOAHEADCRISPYFRUI", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CPBBY.JERSEYROYALS", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NAPTOMPASSATR", "item_value": "4.25", "item_quantity": "1"}, {"item_key": "", "item_name": "CD-OPBAGUETTES", "item_value": "1.05", "item_quantity": "1"}, {"item_key": "", "item_name": "NAPTOMPASSATA", "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	[[[[680.0, 265.0], [1117.0, 277.0], [1116.0, 324.0], [679.0, 311.0]], ('The UPs Store -#4144', 0.9177359342575073)], [[[743.0, 323.0], [1039.0, 331.0], [1038.0, 372.0], [742.0, 364.0]], ('771 Jamacha Rd', 0.942769467830658)], [[[699.0, 371.0], [1077.0, 382.0], [1076.0, 426.0], [698.0, 416.0]], ('E1 CajonCA 92019', 0.937641978263855)], [[[743.0, 428.0], [1034.0, 434.0], [1033.0, 475.0], [742.0, 468.0]], ('619)440-7941', 0.9466425776481628)], [[[695.0, 526.0], [1083.0, 535.0], [1082.0, 581.0], [694.0, 573.0]], ('02/14/12 05:47 PM', 0.9348130226135254)], [[[545.0, 633.0], [1217.0, 641.0], [1217.0, 682.0], [545.0, 674.0]], ('We are the one stop for all your', 0.9194148778915405)], [[[500.0, 689.0], [1253.0, 693.0], [1253.0, 734.0], [500.0, 730.0]], ('shipping, posta1 and business needs', 0.945378303527832)], [[[521.0, 794.0], [1249.0, 796.0], [1249.0, 836.0], [520.0, 834.0]], ('We offer all the services you need', 0.920778214931488)], [[[585.0, 848.0], [1174.0, 852.0], [1173.0, 893.0], [585.0, 889.0]], ('to keep your business going', 0.9626039862632751)], [[[1128.0, 1125.0], [1373.0, 1119.0], [1375.0, 1171.0], [1129.0, 1178.0]], ('TO$14.92', 0.9189251661300659)], [[[469.0, 1136.0], [816.0, 1136.0], [816.0, 1177.0], [469.0, 1177.0]], ('001008010022', 0.9972390532493591)], [[[555.0, 1189.0], [803.0, 1189.0], [803.0, 1235.0], [555.0, 1235.0]], ('Parcel Post', 0.9484567642211914)], [[[978.0, 1296.0], [1385.0, 1285.0], [1386.0, 1339.0], [979.0, 1350.0]], ('SubTotal $14.92', 0.9545755982398987)]]	{"store_name": "TheUPSStore-#4144", "store_addr": "771JamachaRd ElCajon,CA92019", "telephone": "(619)440-7941", "date": "02/14/12", "time": "05:47PM", "subtotal": "$14.92", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ParcelPost", "item_value": "$14.92", "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	[[[[97.0, 1.0], [175.0, 5.0], [174.0, 23.0], [96.0, 19.0]], ('SAMCO', 0.9968907237052917)], [[[91.0, 35.0], [140.0, 33.0], [141.0, 47.0], [92.0, 49.0]], ('SAMCO', 0.9960994720458984)], [[[28.0, 53.0], [201.0, 52.0], [201.0, 69.0], [28.0, 70.0]], ('#21VELACHERRY MAIN ROAD OPP', 0.9121993780136108)], [[[18.0, 64.0], [211.0, 63.0], [211.0, 80.0], [18.0, 81.0]], ('PHOENIX MALL).CHENNAI-600042#044-', 0.9169477820396423)], [[[90.0, 77.0], [140.0, 76.0], [140.0, 87.0], [91.0, 88.0]], ('48566566', 0.9921790361404419)], [[[10.0, 96.0], [51.0, 96.0], [51.0, 110.0], [10.0, 110.0]], ('TIN', 0.9797132611274719)], [[[11.0, 112.0], [28.0, 112.0], [28.0, 124.0], [11.0, 124.0]], ('ST', 0.9902563691139221)], [[[37.0, 129.0], [198.0, 129.0], [198.0, 143.0], [37.0, 143.0]], ('*BilN0-142*', 0.8762243390083313)], [[[12.0, 153.0], [64.0, 150.0], [64.0, 165.0], [12.0, 167.0]], ('DINE_IN', 0.9899912476539612)], [[[10.0, 167.0], [100.0, 165.0], [101.0, 178.0], [10.0, 180.0]], ('OrderID1954', 0.9343502521514893)], [[[136.0, 165.0], [202.0, 165.0], [202.0, 176.0], [136.0, 176.0]], ('Table#A1', 0.9619883298873901)], [[[10.0, 179.0], [194.0, 178.0], [194.0, 192.0], [10.0, 193.0]], ('CashierBranch Admin Guestss1', 0.9467200636863708)], [[[11.0, 194.0], [107.0, 193.0], [107.0, 204.0], [11.0, 205.0]], ('Captain Sailesh', 0.9366781115531921)], [[[13.0, 206.0], [159.0, 205.0], [160.0, 219.0], [13.0, 220.0]], ('Date26/03/201711:59', 0.9716016054153442)], [[[14.0, 223.0], [73.0, 223.0], [73.0, 234.0], [14.0, 234.0]], ('ITEM NAME', 0.9543560743331909)], [[[116.0, 222.0], [183.0, 222.0], [183.0, 233.0], [116.0, 233.0]], ('PRICEQTY', 0.989328145980835)], [[[200.0, 221.0], [222.0, 221.0], [222.0, 232.0], [200.0, 232.0]], ('SUB', 0.9913881421089172)], [[[15.0, 243.0], [66.0, 243.0], [66.0, 254.0], [15.0, 254.0]], ('DAL TADKA', 0.9579606652259827)], [[[116.0, 241.0], [152.0, 241.0], [152.0, 255.0], [116.0, 255.0]], ('157.40', 0.9851611256599426)], [[[172.0, 243.0], [187.0, 243.0], [187.0, 253.0], [172.0, 253.0]], ('1.', 0.8713876008987427)], [[[185.0, 241.0], [222.0, 241.0], [222.0, 252.0], [185.0, 252.0]], ('157.40', 0.9929568767547607)], [[[15.0, 255.0], [151.0, 255.0], [151.0, 268.0], [15.0, 268.0]], ('GREEN PEP BBQ HALF 240.74', 0.9286305904388428)], [[[169.0, 254.0], [223.0, 252.0], [224.0, 266.0], [170.0, 268.0]], ('1240.74', 0.9861231446266174)], [[[16.0, 272.0], [93.0, 272.0], [93.0, 282.0], [16.0, 282.0]], ('MINARAL WATER', 0.9543396234512329)], [[[123.0, 271.0], [152.0, 271.0], [152.0, 282.0], [123.0, 282.0]], ('18.70', 0.9933737516403198)], [[[172.0, 271.0], [182.0, 271.0], [182.0, 280.0], [172.0, 280.0]], ('1', 0.9589196443557739)], [[[194.0, 269.0], [223.0, 269.0], [223.0, 280.0], [194.0, 280.0]], ('18.70', 0.9932548403739929)], [[[165.0, 281.0], [227.0, 281.0], [227.0, 298.0], [165.0, 298.0]], ('192.59', 0.859385073184967)], [[[67.0, 301.0], [127.0, 301.0], [127.0, 312.0], [67.0, 312.0]], ('Sub Total Rs', 0.9141187071800232)], [[[192.0, 297.0], [225.0, 297.0], [225.0, 308.0], [192.0, 308.0]], ('509.43', 0.991966962814331)], [[[56.0, 316.0], [130.0, 316.0], [130.0, 327.0], [56.0, 327.0]], ('Ser.Tax6.00%', 0.9470541477203369)], [[[197.0, 312.0], [227.0, 312.0], [227.0, 326.0], [197.0, 326.0]], ('30.57', 0.9930510520935059)], [[[72.0, 331.0], [130.0, 331.0], [130.0, 343.0], [72.0, 343.0]], ('Vat:2.00%', 0.9207329154014587)], [[[198.0, 327.0], [227.0, 327.0], [227.0, 342.0], [198.0, 342.0]], ('10.19', 0.984033465385437)], [[[81.0, 348.0], [129.0, 348.0], [129.0, 359.0], [81.0, 359.0]], ('RoundOff', 0.9495840072631836)], [[[197.0, 347.0], [227.0, 347.0], [227.0, 358.0], [197.0, 358.0]], ('-0.18', 0.9235665202140808)], [[[74.0, 371.0], [130.0, 371.0], [130.0, 382.0], [74.0, 382.0]], ('Total Rs.', 0.942266047000885)], [[[180.0, 369.0], [225.0, 366.0], [226.0, 380.0], [181.0, 383.0]], ('550.00', 0.9966183304786682)], [[[18.0, 389.0], [189.0, 386.0], [189.0, 399.0], [18.0, 402.0]], ('Total Items-4,No of Quantity4.00', 0.873286247253418)], [[[49.0, 411.0], [199.0, 409.0], [199.0, 423.0], [49.0, 425.0]], ('Thank you for your patronage', 0.9312930107116699)], [[[65.0, 422.0], [190.0, 422.0], [190.0, 435.0], [65.0, 435.0]], ('We look foxward to your', 0.8979687690734863)], [[[88.0, 434.0], [168.0, 434.0], [168.0, 444.0], [88.0, 444.0]], ('next insuigence', 0.9285392761230469)]]	{"store_name": "SAMCO SAMCO", "store_addr": "PHOENIXMALL),CHENNAL-600042#044- #21,VELACHERRYMAINROAD(OPP", "telephone": "48566566", "date": "26/03/2017.", "time": "11:59", "subtotal": "550.00 509.43", "tax": "10.19 30.57", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "STEAMRICE", "item_value": "92.59", "item_quantity": "1"}, {"item_key": "", "item_name": "MINARALWATER", "item_value": "18.70", "item_quantity": "1"}, {"item_key": "", "item_name": "GREENPEPBBQHALF", "item_value": "240.74", "item_quantity": "1"}, {"item_key": "", "item_name": "DALTADKA", "item_value": "157.40", "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	[[[[79.0, 28.0], [175.0, 22.0], [176.0, 36.0], [80.0, 42.0]], ('Lady M West Third', 0.9577108025550842)], [[[81.0, 45.0], [169.0, 43.0], [169.0, 54.0], [81.0, 56.0]], ('8718 West Third Street', 0.9468690752983093)], [[[193.0, 40.0], [247.0, 37.0], [248.0, 50.0], [194.0, 54.0]], ('Aug 15.2017', 0.9539679884910583)], [[[79.0, 56.0], [171.0, 52.0], [171.0, 66.0], [79.0, 71.0]], ('Los Angeles.CA 90048', 0.8978830575942993)], [[[213.0, 51.0], [247.0, 51.0], [247.0, 62.0], [213.0, 62.0]], ('1:35PM', 0.887537956237793)], [[[81.0, 67.0], [139.0, 67.0], [139.0, 78.0], [81.0, 78.0]], ('212452-2222', 0.9587337970733643)], [[[201.0, 62.0], [247.0, 60.0], [248.0, 73.0], [202.0, 76.0]], ('West Third', 0.9442178606987)], [[[79.0, 78.0], [172.0, 76.0], [172.0, 89.0], [79.0, 91.0]], ('http://www.ladym.com/', 0.9454571008682251)], [[[81.0, 90.0], [134.0, 90.0], [134.0, 101.0], [81.0, 101.0]], ('@ladymcakes', 0.9657220840454102)], [[[80.0, 117.0], [120.0, 117.0], [120.0, 128.0], [80.0, 128.0]], ('Ticket:#8', 0.9429081678390503)], [[[145.0, 133.0], [182.0, 133.0], [182.0, 144.0], [145.0, 144.0]], ('FOR HERE', 0.9419189095497131)], [[[78.0, 154.0], [150.0, 153.0], [150.0, 164.0], [78.0, 165.0]], ('Signature MC 3', 0.9279190897941589)], [[[220.0, 151.0], [250.0, 148.0], [251.0, 159.0], [220.0, 162.0]], ('$24.00', 0.9885907173156738)], [[[79.0, 166.0], [129.0, 166.0], [129.0, 177.0], [79.0, 177.0]], ('$8.00 each', 0.9548983573913574)], [[[80.0, 186.0], [120.0, 186.0], [120.0, 196.0], [80.0, 196.0]], ('Cafe Latte', 0.9562094807624817)], [[[226.0, 179.0], [252.0, 179.0], [252.0, 194.0], [226.0, 194.0]], ('$4.75', 0.9740967750549316)], [[[79.0, 198.0], [97.0, 198.0], [97.0, 209.0], [79.0, 209.0]], ('Hot', 0.9972091317176819)], [[[79.0, 218.0], [203.0, 216.0], [203.0, 226.0], [79.0, 228.0]], ('Fresh Squeezed Orange Juice', 0.9573851227760315)], [[[226.0, 215.0], [253.0, 213.0], [254.0, 224.0], [227.0, 226.0]], ('$5.50', 0.9959306716918945)], [[[79.0, 237.0], [137.0, 237.0], [137.0, 248.0], [79.0, 248.0]], ('Cafe Latte x2', 0.9372685551643372)], [[[227.0, 235.0], [255.0, 233.0], [256.0, 244.0], [228.0, 246.0]], ('$9.50', 0.9951794743537903)], [[[78.0, 250.0], [129.0, 250.0], [129.0, 261.0], [78.0, 261.0]], ('($4.75each)', 0.914939284324646)], [[[78.0, 263.0], [96.0, 263.0], [96.0, 274.0], [78.0, 274.0]], ('Hot', 0.9976542592048645)], [[[76.0, 282.0], [140.0, 282.0], [140.0, 293.0], [76.0, 293.0]], ('Strawberry MF', 0.9670204520225525)], [[[231.0, 281.0], [258.0, 281.0], [258.0, 294.0], [231.0, 294.0]], ('$8.00', 0.9960042834281921)], [[[74.0, 305.0], [136.0, 302.0], [137.0, 316.0], [74.0, 319.0]], ('Signature MC', 0.978816568851471)], [[[231.0, 304.0], [259.0, 304.0], [259.0, 315.0], [231.0, 315.0]], ('$8.00', 0.9955112338066101)], [[[75.0, 329.0], [112.0, 329.0], [112.0, 341.0], [75.0, 341.0]], ('Subtotal', 0.9947777986526489)], [[[229.0, 329.0], [260.0, 329.0], [260.0, 341.0], [229.0, 341.0]], ('$59.75', 0.9961104393005371)], [[[73.0, 340.0], [135.0, 343.0], [134.0, 357.0], [73.0, 354.0]], ('Auto-Gratuity', 0.9641749858856201)], [[[230.0, 345.0], [261.0, 345.0], [261.0, 356.0], [230.0, 356.0]], ('$10.76', 0.996246874332428)], [[[75.0, 358.0], [130.0, 358.0], [130.0, 369.0], [75.0, 369.0]], ('Sales Tax LA', 0.9551606178283691)], [[[233.0, 358.0], [263.0, 358.0], [263.0, 372.0], [233.0, 372.0]], ('$5.53', 0.9964896440505981)], [[[74.0, 387.0], [98.0, 387.0], [98.0, 399.0], [74.0, 399.0]], ('Total', 0.9978339076042175)], [[[226.0, 388.0], [264.0, 388.0], [264.0, 402.0], [226.0, 402.0]], ('$76.04', 0.9981762766838074)], [[[92.0, 410.0], [245.0, 415.0], [245.0, 429.0], [92.0, 424.0]], ('Return Policy: As our products are', 0.9369641542434692)], [[[95.0, 422.0], [242.0, 425.0], [242.0, 438.0], [95.0, 435.0]], ('perishable.all food sales are final.', 0.9328615665435791)]]	{"store_name": "LadyMWestThird", "store_addr": "LosAngeles,CA90048 8718WestThirdStreet", "telephone": "(212)452-2222", "date": "Aug15.2017", "time": "1:35PM", "subtotal": "$59.75", "tax": "$5.53", "total": "$76.04", "ignore": "", "tips": "$10.76", "line_items": [{"item_key": "", "item_name": "SignatureMC", "item_value": "$24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "StrawberryMF", "item_value": "$4.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Hot", "item_value": "$5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "($4.75each)", "item_value": "$9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CafeLattex2", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FreshSqueezedOrangeJuice", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Hot", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CafeLatte", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "($8.00each)", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SignatureMCx3", "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	[[[[69.0, 27.0], [189.0, 26.0], [189.0, 37.0], [69.0, 38.0]], ('Nelccme to Dunkin Donuts', 0.8328802585601807)], [[[49.0, 37.0], [205.0, 35.0], [205.0, 49.0], [49.0, 51.0]], ('Store.346360-Greensboro.NC', 0.9272750616073608)], [[[49.0, 50.0], [204.0, 47.0], [204.0, 60.0], [49.0, 64.0]], ('Dur Goal Is Your Satisfact lon', 0.8945255279541016)], [[[80.0, 61.0], [191.0, 60.0], [191.0, 73.0], [80.0, 74.0]], ('11/8/2015 10:4716AM', 0.9485620260238647)], [[[32.0, 75.0], [94.0, 75.0], [94.0, 96.0], [32.0, 96.0]], ('Eat In', 0.9446359276771545)], [[[31.0, 96.0], [134.0, 94.0], [135.0, 114.0], [32.0, 116.0]], ('Order:521', 0.9355776309967041)], [[[31.0, 127.0], [84.0, 127.0], [84.0, 141.0], [31.0, 141.0]], ('Register:1', 0.9068959951400757)], [[[129.0, 128.0], [230.0, 126.0], [231.0, 140.0], [129.0, 142.0]], ('Tran Seq No279521', 0.9595808982849121)], [[[29.0, 141.0], [103.0, 140.0], [104.0, 153.0], [29.0, 154.0]], ('CashlerBrla E', 0.875512957572937)], [[[27.0, 166.0], [96.0, 164.0], [97.0, 178.0], [28.0, 180.0]], ('3 Bagel w/CC', 0.895695149898529)], [[[208.0, 164.0], [234.0, 164.0], [234.0, 179.0], [208.0, 179.0]], ('99', 0.8987749814987183)], [[[51.0, 178.0], [109.0, 178.0], [109.0, 188.0], [51.0, 188.0]], ('Plain Bagel', 0.8777828216552734)], [[[27.0, 190.0], [115.0, 190.0], [115.0, 203.0], [27.0, 203.0]], ('3Cinn Rsn Eage', 0.912104070186615)], [[[210.0, 190.0], [234.0, 190.0], [234.0, 202.0], [210.0, 202.0]], ('2.97', 0.9969562292098999)], [[[25.0, 203.0], [138.0, 203.0], [138.0, 216.0], [25.0, 216.0]], ('6 Add 6pc Hash Bron', 0.9193387031555176)], [[[210.0, 202.0], [236.0, 202.0], [236.0, 217.0], [210.0, 217.0]], ('3.60', 0.99205082654953)], [[[24.0, 216.0], [147.0, 215.0], [148.0, 228.0], [24.0, 230.0]], ('11.75oz RF Strbry CC', 0.9284327626228333)], [[[210.0, 216.0], [237.0, 216.0], [237.0, 230.0], [210.0, 230.0]], ('0.99', 0.8645155429840088)], [[[25.0, 228.0], [107.0, 230.0], [107.0, 243.0], [24.0, 242.0]], ('125 Munchkins', 0.9118152856826782)], [[[211.0, 229.0], [238.0, 229.0], [238.0, 244.0], [211.0, 244.0]], ('5.49', 0.9940741062164307)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "11/8/2015", "time": "10:47:16AM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Bagelw/CC", "item_value": "6.57", "item_quantity": "1"}, {"item_key": "", "item_name": "PlainBagel", "item_value": "2.97", "item_quantity": "1"}, {"item_key": "", "item_name": "ClrnRsnBagel", "item_value": "3.60", "item_quantity": "1"}, {"item_key": "", "item_name": "Add6pcHashBrown", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "1.75ozRFStrwbryCC", "item_value": "5.49", "item_quantity": "1"}, {"item_key": "", "item_name": "25Munchkins", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[121.0, 8.0], [188.0, 8.0], [188.0, 26.0], [121.0, 26.0]], ('Store #0208', 0.9464900493621826)], [[[116.0, 28.0], [198.0, 28.0], [198.0, 45.0], [116.0, 45.0]], ('Panda Express', 0.9613726139068604)], [[[124.0, 44.0], [188.0, 40.0], [189.0, 54.0], [125.0, 58.0]], ('Boston.HA', 0.8803723454475403)], [[[121.0, 58.0], [200.0, 52.0], [201.0, 66.0], [122.0, 71.0]], ('617267-7977', 0.9710338711738586)], [[[209.0, 65.0], [270.0, 65.0], [270.0, 79.0], [209.0, 79.0]], ('3:21:56PM', 0.8981203436851501)], [[[17.0, 75.0], [88.0, 70.0], [89.0, 84.0], [19.0, 89.0]], ('10/28/2014', 0.9510433077812195)], [[[176.0, 80.0], [273.0, 78.0], [273.0, 92.0], [176.0, 94.0]], ('ServerXiaoyu C', 0.9077023863792419)], [[[17.0, 90.0], [110.0, 83.0], [111.0, 97.0], [19.0, 104.0]], ('Order:299087', 0.9490122199058533)], [[[38.0, 101.0], [150.0, 94.0], [152.0, 110.0], [39.0, 118.0]], ('1 3-ENTREE PLATE', 0.9337629079818726)], [[[248.0, 92.0], [277.0, 92.0], [277.0, 107.0], [248.0, 107.0]], ("89'8", 0.8253575563430786)], [[[75.0, 114.0], [164.0, 108.0], [165.0, 123.0], [76.0, 129.0]], ('CHOW MEIN-1/2', 0.9181702733039856)], [[[77.0, 130.0], [167.0, 124.0], [167.0, 138.0], [78.0, 144.0]], ('CHOW MEIN-1/2', 0.95115065574646)], [[[78.0, 147.0], [164.0, 139.0], [166.0, 154.0], [79.0, 162.0]], ('KUNG PAO CKN', 0.9360691905021667)], [[[80.0, 162.0], [184.0, 154.0], [185.0, 169.0], [81.0, 177.0]], ('CHEESE RANGOONS', 0.9637334942817688)], [[[80.0, 178.0], [155.0, 172.0], [157.0, 189.0], [81.0, 196.0]], ('ORANGE CKN', 0.9515684843063354)], [[[274.0, 197.0], [304.0, 197.0], [304.0, 213.0], [274.0, 213.0]], ('8.68', 0.9652221202850342)], [[[140.0, 209.0], [198.0, 204.0], [199.0, 223.0], [141.0, 228.0]], ('SubTotal', 0.9901360869407654)], [[[277.0, 214.0], [307.0, 211.0], [309.0, 227.0], [279.0, 230.0]], ('0.61', 0.9951868057250977)], [[[142.0, 227.0], [169.0, 224.0], [171.0, 244.0], [144.0, 247.0]], ('TA4X', 0.6154239773750305)], [[[278.0, 232.0], [312.0, 227.0], [317.0, 257.0], [282.0, 262.0]], ('9.29', 0.9879159331321716)], [[[143.0, 249.0], [181.0, 244.0], [185.0, 274.0], [147.0, 279.0]], ('Total', 0.9976447820663452)], [[[284.0, 275.0], [326.0, 272.0], [328.0, 302.0], [286.0, 305.0]], ('10.00', 0.9692303538322449)], [[[151.0, 295.0], [188.0, 295.0], [188.0, 324.0], [151.0, 324.0]], ('Cash', 0.9926959276199341)], [[[294.0, 305.0], [333.0, 298.0], [338.0, 328.0], [299.0, 334.0]], ('0.71', 0.9884666204452515)], [[[155.0, 326.0], [205.0, 326.0], [205.0, 347.0], [155.0, 347.0]], ('Change', 0.9889469146728516)]]	{"store_name": "Store#0208 PandaExpress", "store_addr": "Boston,HA", "telephone": "(617)267-7977", "date": "10/28/2014", "time": "3:21:56PM", "subtotal": "8.68", "tax": "0.61", "total": "9.29", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "3-ENTREEPLATE", "item_value": "8.68", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOWMEIN-1/2", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CHOWMEIN-1/2", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "KUNGPAOCKN", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CHEESERANGOONS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ORANGECKN", "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	[[[[144.0, 116.0], [624.0, 115.0], [624.0, 152.0], [144.0, 153.0]], ('New York Bagel', 0.9356653094291687)], [[[106.0, 162.0], [668.0, 163.0], [668.0, 200.0], [106.0, 199.0]], ('226IronwoodAve', 0.9378083944320679)], [[[37.0, 211.0], [881.0, 211.0], [881.0, 244.0], [37.0, 244.0]], ('CoeurdA1ene,Idano83814', 0.8990136981010437)], [[[39.0, 300.0], [423.0, 300.0], [423.0, 333.0], [39.0, 333.0]], ('Check:8465', 0.952566921710968)], [[[39.0, 347.0], [284.0, 347.0], [284.0, 376.0], [39.0, 376.0]], ('Seryer:Katie B', 0.9046717286109924)], [[[35.0, 385.0], [184.0, 385.0], [184.0, 428.0], [35.0, 428.0]], ('09/02/12', 0.9990732669830322)], [[[545.0, 381.0], [674.0, 384.0], [673.0, 429.0], [544.0, 425.0]], ('09:54am', 0.9641914367675781)], [[[70.0, 475.0], [197.0, 475.0], [197.0, 514.0], [70.0, 514.0]], ('2BAGEL', 0.9913596510887146)], [[[686.0, 475.0], [783.0, 475.0], [783.0, 515.0], [686.0, 515.0]], ('$2.50', 0.9544461965560913)], [[[124.0, 521.0], [325.0, 521.0], [325.0, 558.0], [124.0, 558.0]], ('W/LOX&CC', 0.9613304138183594)], [[[670.0, 521.0], [783.0, 521.0], [783.0, 559.0], [670.0, 559.0]], ('$13.40', 0.9570944905281067)], [[[76.0, 568.0], [338.0, 568.0], [338.0, 601.0], [76.0, 601.0]], ('1120z.Coffee', 0.971215009689331)], [[[688.0, 565.0], [783.0, 565.0], [783.0, 605.0], [688.0, 605.0]], ('$1.50', 0.9949110150337219)], [[[213.0, 652.0], [377.0, 655.0], [376.0, 694.0], [212.0, 690.0]], ('Subtotal:', 0.9953242540359497)], [[[652.0, 655.0], [765.0, 655.0], [765.0, 693.0], [652.0, 693.0]], ('$17.40', 0.9329572319984436)], [[[217.0, 700.0], [373.0, 700.0], [373.0, 735.0], [217.0, 735.0]], ('FOOD TAX', 0.9405413269996643)], [[[670.0, 699.0], [766.0, 699.0], [766.0, 739.0], [670.0, 739.0]], ('$1.04', 0.9950417280197144)], [[[215.0, 741.0], [377.0, 745.0], [376.0, 783.0], [214.0, 780.0]], ('Sub w/Tax', 0.947657585144043)], [[[653.0, 743.0], [765.0, 743.0], [765.0, 782.0], [653.0, 782.0]], ('$18.44', 0.9932238459587097)], [[[268.0, 786.0], [376.0, 786.0], [376.0, 826.0], [268.0, 826.0]], ('Total:', 0.9772894382476807)], [[[551.0, 792.0], [762.0, 789.0], [762.0, 823.0], [551.0, 826.0]], ('$18.44', 0.9902417063713074)], [[[35.0, 871.0], [112.0, 875.0], [110.0, 916.0], [33.0, 912.0]], ('Visa', 0.9955829977989197)], [[[651.0, 876.0], [766.0, 873.0], [767.0, 913.0], [653.0, 916.0]], ('$18.44', 0.916574239730835)], [[[305.0, 1045.0], [499.0, 1050.0], [498.0, 1093.0], [303.0, 1088.0]], ('"Thank-You"', 0.9722000360488892)]]	{"store_name": "NewYorkBagel", "store_addr": "226IronwoodAve Coeurd'Alene,Idaho83814", "telephone": "", "date": "09/02/12", "time": "09:54am", "subtotal": "$17.40", "tax": "$1.04", "total": "$18.44 $18.44", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BAGEL", "item_value": "$2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "W/LOX&CC", "item_value": "$13.40", "item_quantity": "1"}, {"item_key": "", "item_name": "112Oz.Coffee", "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	[[[[183.0, 70.0], [484.0, 79.0], [483.0, 105.0], [182.0, 96.0]], ('SALVATION', 0.9258036017417908)], [[[262.0, 106.0], [399.0, 111.0], [398.0, 137.0], [261.0, 132.0]], ('ARMY', 0.9606820344924927)], [[[163.0, 137.0], [501.0, 153.0], [500.0, 178.0], [162.0, 163.0]], ('536WEST46TH STR.EE7', 0.9012582898139954)], [[[176.0, 173.0], [487.0, 190.0], [486.0, 216.0], [174.0, 199.0]], ('NEWY0RKNY 10036', 0.8672844171524048)], [[[118.0, 336.0], [408.0, 351.0], [406.0, 380.0], [117.0, 364.0]], ('01/08/1110:240M', 0.9414998888969421)], [[[114.0, 377.0], [333.0, 389.0], [331.0, 422.0], [112.0, 410.0]], ('210101#7160', 0.9870544075965881)], [[[108.0, 469.0], [206.0, 473.0], [205.0, 508.0], [106.0, 504.0]], ('COATS', 0.9820879697799683)], [[[426.0, 485.0], [555.0, 490.0], [553.0, 524.0], [425.0, 519.0]], ('T2$2.00', 0.8668314814567566)], [[[105.0, 517.0], [210.0, 521.0], [209.0, 556.0], [104.0, 552.0]], ('COATS', 0.992915153503418)], [[[412.0, 532.0], [558.0, 537.0], [557.0, 570.0], [411.0, 565.0]], ('12$10.00', 0.9291645288467407)], [[[103.0, 565.0], [206.0, 568.0], [205.0, 606.0], [102.0, 603.0]], ('COATS', 0.9850834608078003)], [[[429.0, 580.0], [561.0, 584.0], [560.0, 618.0], [428.0, 614.0]], ('12$4.00', 0.9683537483215332)], [[[102.0, 614.0], [204.0, 618.0], [202.0, 656.0], [101.0, 652.0]], ('COATS', 0.9949784278869629)], [[[429.0, 627.0], [563.0, 630.0], [562.0, 667.0], [428.0, 664.0]], ('12$9.00', 0.9248279333114624)], [[[101.0, 664.0], [203.0, 667.0], [202.0, 706.0], [100.0, 704.0]], ('COATS', 0.993848443031311)], [[[416.0, 679.0], [564.0, 679.0], [564.0, 714.0], [416.0, 714.0]], ('re$10.00', 0.9760818481445312)], [[[98.0, 715.0], [238.0, 719.0], [237.0, 760.0], [97.0, 756.0]], ('MDSE ST', 0.9354270100593567)], [[[451.0, 725.0], [567.0, 729.0], [566.0, 766.0], [449.0, 762.0]], ('$35.00', 0.9951847195625305)], [[[92.0, 765.0], [182.0, 768.0], [180.0, 812.0], [90.0, 809.0]], ('TAX2', 0.9694056510925293)], [[[466.0, 777.0], [569.0, 777.0], [569.0, 819.0], [466.0, 819.0]], ('$1.53', 0.9943243861198425)], [[[90.0, 872.0], [235.0, 876.0], [234.0, 918.0], [89.0, 914.0]], ('CR.CARD', 0.9157472252845764)], [[[332.0, 878.0], [565.0, 882.0], [564.0, 923.0], [331.0, 918.0]], ('$36.53', 0.9217481017112732)]]	{"store_name": "SALVATION ARMY", "store_addr": "536WEST46THSTREET NEWYORK,NY10036", "telephone": "", "date": "01/08/11", "time": "10:24AM", "subtotal": "$35.00", "tax": "$1.53", "total": "$36.53", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "COATS", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COATS", "item_value": "$9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COATS", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COATS", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COATS", "item_value": "$2.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[162.0, 209.0], [320.0, 214.0], [319.0, 236.0], [161.0, 231.0]], ('DININGI', 0.9980867505073547)], [[[161.0, 233.0], [242.0, 236.0], [241.0, 259.0], [160.0, 256.0]], ('#205', 0.9755926132202148)], [[[272.0, 260.0], [466.0, 266.0], [465.0, 288.0], [271.0, 282.0]], ('Cee Fine Thai Dining', 0.958110511302948)], [[[280.0, 286.0], [454.0, 291.0], [454.0, 312.0], [280.0, 307.0]], ('9901 Fairfax Blvd.', 0.915073812007904)], [[[290.0, 311.0], [447.0, 314.0], [447.0, 334.0], [290.0, 332.0]], ('Fairfax,VA 22030', 0.9313275814056396)], [[[280.0, 335.0], [455.0, 338.0], [455.0, 359.0], [280.0, 357.0]], ('Phone(703)293-9898', 0.9487470984458923)], [[[163.0, 380.0], [342.0, 383.0], [341.0, 405.0], [162.0, 402.0]], ('Date:Jan 082014', 0.948720395565033)], [[[395.0, 383.0], [520.0, 383.0], [520.0, 405.0], [395.0, 405.0]], ('Time:01:54PM', 0.9268495440483093)], [[[164.0, 404.0], [322.0, 407.0], [321.0, 429.0], [163.0, 426.0]], ('Server:Mila #4', 0.9229360222816467)], [[[396.0, 410.0], [492.0, 410.0], [492.0, 429.0], [396.0, 429.0]], ('#Guest2', 0.9904273748397827)], [[[162.0, 429.0], [262.0, 429.0], [262.0, 451.0], [162.0, 451.0]], ('Bi11:0018', 0.8593171238899231)], [[[395.0, 431.0], [511.0, 433.0], [510.0, 455.0], [395.0, 453.0]], ('Table:205', 0.9202932715415955)], [[[171.0, 479.0], [187.0, 475.0], [191.0, 492.0], [175.0, 496.0]], ('2', 0.9573849439620972)], [[[188.0, 482.0], [202.0, 482.0], [202.0, 491.0], [188.0, 491.0]], ('-', 0.679283618927002)], [[[208.0, 476.0], [302.0, 478.0], [301.0, 500.0], [208.0, 498.0]], ('OPEN FOOD', 0.9361286163330078)], [[[518.0, 478.0], [568.0, 478.0], [568.0, 502.0], [518.0, 502.0]], ('17.90', 0.9909839630126953)], [[[251.0, 524.0], [329.0, 524.0], [329.0, 546.0], [251.0, 546.0]], ('Subtotal', 0.9906052350997925)], [[[517.0, 525.0], [568.0, 525.0], [568.0, 548.0], [517.0, 548.0]], ('17.90', 0.9950078129768372)], [[[251.0, 546.0], [339.0, 548.0], [338.0, 570.0], [250.0, 568.0]], ('State Tax', 0.9620361328125)], [[[523.0, 548.0], [567.0, 548.0], [567.0, 571.0], [523.0, 571.0]], ('1.07', 0.9952412843704224)], [[[250.0, 571.0], [330.0, 571.0], [330.0, 594.0], [250.0, 594.0]], ('City Tax', 0.9457089304924011)], [[[523.0, 572.0], [567.0, 572.0], [567.0, 596.0], [523.0, 596.0]], ('0.72', 0.9939175248146057)], [[[163.0, 616.0], [258.0, 616.0], [258.0, 641.0], [163.0, 641.0]], ('Total', 0.9975709915161133)], [[[471.0, 619.0], [564.0, 619.0], [564.0, 641.0], [471.0, 641.0]], ('19.69', 0.9940028190612793)], [[[162.0, 712.0], [468.0, 712.0], [468.0, 733.0], [162.0, 733.0]], ('Open Time Jan 082014 0124PM', 0.9027985334396362)], [[[181.0, 759.0], [534.0, 758.0], [534.0, 779.0], [181.0, 780.0]], ('Thank you for Dining at Cee Fine Thai', 0.9427556395530701)], [[[259.0, 784.0], [469.0, 784.0], [469.0, 802.0], [259.0, 802.0]], ('Dining,Pls come again', 0.94456946849823)]]	{"store_name": "CeeFineThaiDining", "store_addr": "Fairfax,VA22030 9901FairfaxBlvd.", "telephone": "(703)293-9898", "date": "Jan08,2014 Jan08,2014", "time": "01:54PM", "subtotal": "17.90", "tax": "1.07 0.72", "total": "19.69", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "OPENFOOD", "item_value": "17.90", "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	[[[[179.0, 65.0], [247.0, 69.0], [245.0, 90.0], [177.0, 86.0]], ('La Banca', 0.9591916799545288)], [[[104.0, 133.0], [311.0, 121.0], [313.0, 163.0], [106.0, 175.0]], ('Tab No.9 B1.87', 0.8316836357116699)], [[[18.0, 201.0], [94.0, 204.0], [93.0, 225.0], [17.0, 222.0]], ('Antipasti', 0.9926488399505615)], [[[22.0, 225.0], [240.0, 228.0], [240.0, 249.0], [22.0, 246.0]], ('2 x Olive Marinate Con Pane', 0.917228639125824)], [[[323.0, 218.0], [371.0, 216.0], [373.0, 238.0], [324.0, 240.0]], ('6.50', 0.9949770569801331)], [[[16.0, 247.0], [108.0, 251.0], [108.0, 269.0], [16.0, 265.0]], ('Pasta Mains', 0.9721128344535828)], [[[22.0, 270.0], [195.0, 275.0], [194.0, 293.0], [22.0, 288.0]], ('1x Tagliatelle Pollo', 0.880078136920929)], [[[325.0, 265.0], [373.0, 263.0], [375.0, 285.0], [326.0, 287.0]], ('8.95', 0.9946897029876709)], [[[23.0, 294.0], [223.0, 298.0], [223.0, 315.0], [23.0, 311.0]], ('1x Cannel lon1 Alla Carna', 0.858889102935791)], [[[325.0, 289.0], [373.0, 287.0], [375.0, 309.0], [326.0, 311.0]], ('8.95', 0.9957513809204102)], [[[20.0, 315.0], [241.0, 317.0], [241.0, 337.0], [20.0, 335.0]], ('1 x Giganti Ricotta Erbette', 0.9181788563728333)], [[[328.0, 311.0], [375.0, 311.0], [375.0, 333.0], [328.0, 333.0]], ('8.75', 0.9950831532478333)], [[[15.0, 339.0], [72.0, 339.0], [72.0, 357.0], [15.0, 357.0]], ('Secondi', 0.9983290433883667)], [[[20.0, 361.0], [217.0, 363.0], [217.0, 381.0], [20.0, 379.0]], ('1x Pollo Salsa Di Crema', 0.8749529123306274)], [[[321.0, 358.0], [376.0, 358.0], [376.0, 379.0], [321.0, 379.0]], ('10.95', 0.995324969291687)], [[[12.0, 384.0], [57.0, 384.0], [57.0, 403.0], [12.0, 403.0]], ('Dolci', 0.9915453791618347)], [[[20.0, 408.0], [211.0, 408.0], [211.0, 425.0], [20.0, 425.0]], ('3x Tiramisu Pick Me Up', 0.9004930853843689)], [[[322.0, 403.0], [377.0, 403.0], [377.0, 424.0], [322.0, 424.0]], ('11.85', 0.981486976146698)], [[[20.0, 431.0], [193.0, 431.0], [193.0, 448.0], [20.0, 448.0]], ('1 x Gelati E Sorbett', 0.9146879315376282)], [[[331.0, 425.0], [378.0, 425.0], [378.0, 447.0], [331.0, 447.0]], ('3.95', 0.9964818954467773)], [[[12.0, 454.0], [203.0, 452.0], [204.0, 469.0], [12.0, 471.0]], ('DryCrisp & Herbaceous', 0.9663379192352295)], [[[17.0, 477.0], [251.0, 474.0], [251.0, 491.0], [17.0, 494.0]], ('1 x 7.Pinot Grigio Del Venet', 0.8987125754356384)], [[[324.0, 472.0], [379.0, 472.0], [379.0, 493.0], [324.0, 493.0]], ('14.95', 0.9968164563179016)], [[[11.0, 500.0], [70.0, 500.0], [70.0, 518.0], [11.0, 518.0]], ('Spirits', 0.9974621534347534)], [[[15.0, 522.0], [163.0, 521.0], [163.0, 541.0], [15.0, 542.0]], ('1 x Beefeater Gin', 0.9054874777793884)], [[[334.0, 518.0], [381.0, 518.0], [381.0, 540.0], [334.0, 540.0]], ('2.65', 0.9886536598205566)], [[[203.0, 592.0], [304.0, 589.0], [305.0, 610.0], [204.0, 613.0]], ('Total to Pay', 0.9239675998687744)], [[[327.0, 590.0], [381.0, 590.0], [381.0, 608.0], [327.0, 608.0]], ('77.50', 0.992205023765564)]]	{"store_name": "LaBanca", "store_addr": "", "telephone": "", "date": "30/06/2009", "time": "23:32:01", "subtotal": "", "tax": "", "total": "\u00a377.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "OliveMarinateConPane", "item_value": "\u00a36.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TagliatellePollo", "item_value": "\u00a38.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CannelloniAllaCarna", "item_value": "\u00a38.95", "item_quantity": "1"}, {"item_key": "", "item_name": "GigantiRicottaErbette", "item_value": "\u00a38.75", "item_quantity": "1"}, {"item_key": "", "item_name": "PolloSalsaDiCrema", "item_value": "\u00a310.95", "item_quantity": "1"}, {"item_key": "", "item_name": "TiramisuPickMeUp", "item_value": "\u00a311.85", "item_quantity": "1"}, {"item_key": "", "item_name": "GelatiESorbetti", "item_value": "\u00a33.95", "item_quantity": "1"}, {"item_key": "", "item_name": "7.PinotGrigioDelVenet", "item_value": "\u00a314.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefeaterGin", "item_value": "\u00a32.65", "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	[[[[65.0, 165.0], [560.0, 166.0], [560.0, 195.0], [65.0, 194.0]], ("MOBY'S RESTAURANT", 0.942061722278595)], [[[231.0, 202.0], [412.0, 205.0], [412.0, 235.0], [230.0, 231.0]], ('206-447-0507', 0.9949879050254822)], [[[16.0, 239.0], [80.0, 239.0], [80.0, 271.0], [16.0, 271.0]], ('DATE', 0.9985442757606506)], [[[245.0, 239.0], [401.0, 242.0], [400.0, 274.0], [245.0, 272.0]], ('08/20/2012', 0.9985982179641724)], [[[584.0, 232.0], [638.0, 232.0], [638.0, 266.0], [584.0, 266.0]], ('MON', 0.9986395835876465)], [[[16.0, 276.0], [321.0, 279.0], [320.0, 311.0], [16.0, 307.0]], ('OPEN CHECK', 0.9697505831718445)], [[[567.0, 271.0], [633.0, 267.0], [636.0, 303.0], [569.0, 307.0]], ('#', 0.9883008599281311)], [[[199.0, 356.0], [429.0, 353.0], [429.0, 382.0], [200.0, 386.0]], ('SEAT#01', 0.9206517934799194)], [[[105.0, 391.0], [215.0, 391.0], [215.0, 421.0], [105.0, 421.0]], ('DIET T1', 0.9477707743644714)], [[[554.0, 385.0], [641.0, 380.0], [643.0, 414.0], [557.0, 419.0]], ('$3.00', 0.9961237907409668)], [[[107.0, 430.0], [258.0, 430.0], [258.0, 458.0], [107.0, 458.0]], ('CLASSIC T1', 0.9594210386276245)], [[[556.0, 423.0], [642.0, 419.0], [644.0, 453.0], [557.0, 457.0]], ('$8.00', 0.996473491191864)], [[[105.0, 468.0], [230.0, 468.0], [230.0, 497.0], [105.0, 497.0]], ('TAX1 AMT', 0.9344595670700073)], [[[556.0, 463.0], [643.0, 459.0], [645.0, 492.0], [557.0, 496.0]], ('$1.05', 0.9968186616897583)], [[[105.0, 506.0], [255.0, 506.0], [255.0, 535.0], [105.0, 535.0]], ('TOTAL', 0.9982895851135254)], [[[446.0, 503.0], [642.0, 500.0], [643.0, 532.0], [447.0, 536.0]], ('$12.05', 0.9883249402046204)], [[[224.0, 582.0], [400.0, 582.0], [400.0, 615.0], [224.0, 615.0]], ('*ALL *', 0.9180488586425781)], [[[96.0, 621.0], [222.0, 621.0], [222.0, 653.0], [96.0, 653.0]], ('SUBTOTAL', 0.9971919059753418)], [[[545.0, 623.0], [651.0, 623.0], [651.0, 657.0], [545.0, 657.0]], ('$11.00', 0.930415689945221)], [[[96.0, 664.0], [222.0, 664.0], [222.0, 696.0], [96.0, 696.0]], ('TAX1 AMT', 0.9398213028907776)], [[[562.0, 666.0], [652.0, 666.0], [652.0, 700.0], [562.0, 700.0]], ('$1.05', 0.9964691400527954)], [[[96.0, 704.0], [246.0, 704.0], [246.0, 736.0], [96.0, 736.0]], ('TOTAL', 0.9983965158462524)], [[[450.0, 707.0], [649.0, 707.0], [649.0, 740.0], [450.0, 740.0]], ('$12.05', 0.9716742634773254)], [[[6.0, 745.0], [363.0, 749.0], [363.0, 778.0], [5.0, 774.0]], ('NO.007373REG 01 KANDIE', 0.934447705745697)], [[[483.0, 749.0], [652.0, 751.0], [652.0, 783.0], [482.0, 781.0]], ('TIME 12:28', 0.9315827488899231)], [[[127.0, 786.0], [492.0, 792.0], [492.0, 821.0], [127.0, 815.0]], ('THANK YOU FOR VISITING', 0.9459165334701538)], [[[172.0, 828.0], [461.0, 831.0], [461.0, 859.0], [171.0, 856.0]], ('PLEASE COME AGAIN!', 0.9389517307281494)]]	{"store_name": "MOBY'SRESTAURANT", "store_addr": "", "telephone": "206-447-0507", "date": "08/20/2012", "time": "12:28", "subtotal": "$11.00", "tax": "$1.05 $1.05", "total": "$12.05 $12.05", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DIETT1", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CLASSICT1", "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	[[[[58.0, 60.0], [191.0, 49.0], [192.0, 63.0], [59.0, 74.0]], ('MIAMI SCIENCE', 0.9710668921470642)], [[[108.0, 69.0], [173.0, 63.0], [175.0, 77.0], [109.0, 83.0]], ('MUSEUM', 0.9956316947937012)], [[[90.0, 105.0], [197.0, 97.0], [198.0, 111.0], [91.0, 119.0]], ('3280 Sth Mia1 Ave', 0.9029393792152405)], [[[105.0, 116.0], [187.0, 110.0], [188.0, 124.0], [106.0, 130.0]], ('Mia.FL 33129', 0.8467351794242859)], [[[107.0, 129.0], [178.0, 124.0], [178.0, 138.0], [108.0, 143.0]], ('305)646-4200', 0.9209672808647156)], [[[58.0, 178.0], [107.0, 174.0], [108.0, 190.0], [59.0, 193.0]], ('QTY ITEM', 0.621826708316803)], [[[203.0, 171.0], [240.0, 168.0], [241.0, 184.0], [204.0, 186.0]], ('AMOUNT', 0.9758279323577881)], [[[64.0, 193.0], [74.0, 193.0], [74.0, 202.0], [64.0, 202.0]], ('7', 0.6822108030319214)], [[[75.0, 190.0], [143.0, 187.0], [144.0, 201.0], [76.0, 204.0]], ('NDC ADULT', 0.873607337474823)], [[[218.0, 184.0], [251.0, 181.0], [252.0, 197.0], [219.0, 199.0]], ('29.90', 0.9657140970230103)], [[[81.0, 227.0], [112.0, 227.0], [112.0, 241.0], [81.0, 241.0]], ('TOTAL', 0.9933967590332031)], [[[206.0, 222.0], [238.0, 222.0], [238.0, 237.0], [206.0, 237.0]], ('29.90', 0.9924529194831848)], [[[81.0, 240.0], [136.0, 238.0], [136.0, 252.0], [82.0, 254.0]], ('SALES TAX', 0.9535741806030273)], [[[208.0, 236.0], [238.0, 234.0], [240.0, 249.0], [210.0, 251.0]], ('0.00', 0.9871354103088379)], [[[81.0, 254.0], [156.0, 251.0], [156.0, 265.0], [82.0, 268.0]], ('CASH TENDERED', 0.9599609375)], [[[208.0, 249.0], [239.0, 249.0], [239.0, 263.0], [208.0, 263.0]], ('50.00', 0.9911505579948425)], [[[83.0, 267.0], [120.0, 267.0], [120.0, 281.0], [83.0, 281.0]], ('CHANGE', 0.9957802295684814)], [[[208.0, 262.0], [240.0, 262.0], [240.0, 277.0], [208.0, 277.0]], ('20.10', 0.988075852394104)], [[[45.0, 322.0], [266.0, 315.0], [266.0, 331.0], [45.0, 338.0]], ('3:16PM07/24/2012002:157235309', 0.9594013690948486)], [[[117.0, 350.0], [221.0, 346.0], [221.0, 361.0], [117.0, 364.0]], ('NOT VALID', 0.848057746887207)], [[[96.0, 364.0], [243.0, 362.0], [243.0, 376.0], [96.0, 378.0]], ('FOR ADMISSION', 0.9581183195114136)], [[[96.0, 394.0], [257.0, 392.0], [258.0, 406.0], [96.0, 408.0]], ('Vis us at w.laisci.org', 0.850902795791626)]]	{"store_name": "MIAMISCIENCE MUSEUM", "store_addr": "", "telephone": "(305)646-4200", "date": "07/24/2012", "time": "3:16PM", "subtotal": "", "tax": "0.00", "total": "29.90", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "NDC:ADULT", "item_value": "29.90", "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	[[[[89.0, 0.0], [178.0, 0.0], [178.0, 13.0], [89.0, 14.0]], ("Jack's Seafood", 0.9582523703575134)], [[[70.0, 13.0], [192.0, 12.0], [192.0, 29.0], [70.0, 30.0]], ('4C Street,Suite B', 0.932966947555542)], [[[83.0, 30.0], [183.0, 28.0], [183.0, 43.0], [83.0, 45.0]], ('EurekaCA 95501', 0.9692029356956482)], [[[90.0, 45.0], [179.0, 43.0], [180.0, 59.0], [90.0, 61.0]], ('707273-5273', 0.9936197400093079)], [[[7.0, 74.0], [52.0, 77.0], [51.0, 95.0], [6.0, 92.0]], ('Server', 0.9952418208122253)], [[[194.0, 73.0], [263.0, 68.0], [264.0, 86.0], [196.0, 91.0]], ('Station:2', 0.962067186832428)], [[[8.0, 108.0], [99.0, 105.0], [99.0, 122.0], [9.0, 125.0]], ('Order #:11054', 0.9175876975059509)], [[[213.0, 103.0], [264.0, 99.0], [265.0, 117.0], [214.0, 121.0]], ('Dine In', 0.9720954895019531)], [[[8.0, 124.0], [75.0, 121.0], [76.0, 138.0], [9.0, 141.0]], ('Table:T36', 0.902625322341919)], [[[201.0, 120.0], [263.0, 117.0], [264.0, 134.0], [202.0, 137.0]], ('Guests:2', 0.964303731918335)], [[[11.0, 154.0], [111.0, 154.0], [111.0, 168.0], [11.0, 168.0]], ('1APP-SEARED AHI', 0.9748347401618958)], [[[229.0, 150.0], [264.0, 150.0], [264.0, 165.0], [229.0, 165.0]], ('15.00', 0.9973796606063843)], [[[11.0, 169.0], [111.0, 169.0], [111.0, 183.0], [11.0, 183.0]], ('1FISH AND CHIPS', 0.932375967502594)], [[[228.0, 164.0], [265.0, 164.0], [265.0, 182.0], [228.0, 182.0]], ('18.00', 0.9957424402236938)], [[[22.0, 185.0], [150.0, 183.0], [150.0, 197.0], [22.0, 199.0]], ('SPICY COLESLAW ', 0.9368706941604614)], [[[24.0, 200.0], [156.0, 200.0], [156.0, 214.0], [24.0, 214.0]], ('CLAM CHOWDER3.OOEA', 0.9434901475906372)], [[[11.0, 216.0], [89.0, 216.0], [89.0, 230.0], [11.0, 230.0]], ('1FISH TACOS', 0.9616495370864868)], [[[231.0, 213.0], [264.0, 213.0], [264.0, 228.0], [231.0, 228.0]], ('16.00', 0.9928992390632629)], [[[20.0, 231.0], [119.0, 228.0], [120.0, 245.0], [20.0, 248.0]], ('HALF HALF ', 0.8966771960258484)], [[[11.0, 247.0], [76.0, 247.0], [76.0, 261.0], [11.0, 261.0]], ('1 Tiramisu', 0.9515249133110046)], [[[236.0, 244.0], [265.0, 244.0], [265.0, 259.0], [236.0, 259.0]], ('0.00', 0.9966955780982971)], [[[21.0, 261.0], [143.0, 259.0], [143.0, 275.0], [21.0, 277.0]], ('VIP Discount 8.00', 0.9516035914421082)], [[[11.0, 278.0], [95.0, 278.0], [95.0, 292.0], [11.0, 292.0]], ('1 Great White', 0.9317249655723572)], [[[236.0, 275.0], [265.0, 275.0], [265.0, 290.0], [236.0, 290.0]], ('5.00', 0.9903647899627686)], [[[11.0, 307.0], [76.0, 307.0], [76.0, 324.0], [11.0, 324.0]], ('SUB TOTAL', 0.9601855874061584)], [[[232.0, 304.0], [267.0, 307.0], [266.0, 323.0], [231.0, 320.0]], ('54.00', 0.9927312731742859)], [[[11.0, 325.0], [38.0, 325.0], [38.0, 341.0], [11.0, 341.0]], ('TAX:', 0.9878084063529968)], [[[235.0, 321.0], [268.0, 321.0], [268.0, 340.0], [235.0, 340.0]], ('4.73', 0.988969087600708)], [[[10.0, 356.0], [52.0, 356.0], [52.0, 374.0], [10.0, 374.0]], ('TOTAL:', 0.9900753498077393)], [[[226.0, 355.0], [267.0, 355.0], [267.0, 370.0], [226.0, 370.0]], ('$58.73', 0.9933275580406189)], [[[79.0, 387.0], [197.0, 385.0], [198.0, 402.0], [79.0, 404.0]], ('>>Ticket #27<', 0.8745585083961487)], [[[68.0, 404.0], [204.0, 401.0], [204.0, 418.0], [68.0, 421.0]], ('10/14/20162:56:56PM', 0.9679155945777893)], [[[107.0, 435.0], [171.0, 434.0], [171.0, 449.0], [107.0, 449.0]], ('THANK YOU!', 0.9182245135307312)]]	{"store_name": "jack'sSeafood", "store_addr": "4CStreet,SuiteB Eureka,CA95501", "telephone": "(707)273-5273", "date": "10/14/2016", "time": "2:56:56PM", "subtotal": "54.00", "tax": "4.73", "total": "$58.73", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "APP-SEAREDAHI", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FISHANDCHIPS", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SPICYCOLESLAW", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CLAMCHOWDER3.00EA", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FISHTACOS", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tiramisu", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "GreatWhite", "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	[[[[281.0, 38.0], [462.0, 44.0], [461.0, 64.0], [280.0, 58.0]], ('2/19/20185:31:16PM', 0.9556376934051514)], [[[198.0, 102.0], [393.0, 107.0], [392.0, 135.0], [197.0, 130.0]], ('SUPREME LA', 0.9659263491630554)], [[[195.0, 143.0], [399.0, 148.0], [398.0, 168.0], [194.0, 163.0]], ('439N.FAIRFAX AVENUE', 0.9525831937789917)], [[[193.0, 170.0], [400.0, 175.0], [399.0, 196.0], [192.0, 191.0]], ('LOS ANGELES,CA 90036', 0.9096534848213196)], [[[225.0, 198.0], [363.0, 201.0], [363.0, 219.0], [225.0, 216.0]], ('PH.323.655.6205', 0.9403772950172424)], [[[223.0, 223.0], [366.0, 226.0], [366.0, 247.0], [223.0, 244.0]], ('FAX323.6556206', 0.9871244430541992)], [[[128.0, 262.0], [457.0, 269.0], [457.0, 292.0], [127.0, 285.0]], ('Dissent Is The Highest Form Of Patriotism', 0.9666057825088501)], [[[182.0, 291.0], [402.0, 294.0], [401.0, 315.0], [181.0, 312.0]], ('www.supremenewyork.com', 0.9947438836097717)], [[[306.0, 316.0], [381.0, 318.0], [380.0, 339.0], [306.0, 337.0]], ('Receipt #', 0.9533016681671143)], [[[429.0, 320.0], [480.0, 320.0], [480.0, 338.0], [429.0, 338.0]], ('57514', 0.9983516931533813)], [[[105.0, 334.0], [182.0, 336.0], [181.0, 353.0], [104.0, 351.0]], ('2/19/2018', 0.9465957283973694)], [[[333.0, 339.0], [380.0, 341.0], [379.0, 359.0], [332.0, 357.0]], ('Store:', 0.9687485098838806)], [[[437.0, 341.0], [480.0, 341.0], [480.0, 360.0], [437.0, 360.0]], ('002A', 0.9916880130767822)], [[[104.0, 353.0], [185.0, 357.0], [184.0, 375.0], [103.0, 371.0]], ('Assocval', 0.9855891466140747)], [[[318.0, 359.0], [379.0, 361.0], [378.0, 379.0], [318.0, 377.0]], ('Cashier:', 0.9438390731811523)], [[[455.0, 363.0], [480.0, 363.0], [480.0, 380.0], [455.0, 380.0]], ('val', 0.9921932220458984)], [[[115.0, 445.0], [164.0, 447.0], [163.0, 466.0], [114.0, 464.0]], ('ITEM#', 0.9614953994750977)], [[[263.0, 451.0], [294.0, 451.0], [294.0, 470.0], [263.0, 470.0]], ('QTY', 0.9864868521690369)], [[[319.0, 452.0], [367.0, 452.0], [367.0, 470.0], [319.0, 470.0]], ('PRICE', 0.9978173971176147)], [[[393.0, 452.0], [475.0, 454.0], [474.0, 472.0], [393.0, 470.0]], ('EXTPRICE', 0.9922734498977661)], [[[110.0, 475.0], [201.0, 477.0], [201.0, 494.0], [109.0, 492.0]], ('52936RED', 0.9881700277328491)], [[[271.0, 482.0], [284.0, 482.0], [284.0, 497.0], [271.0, 497.0]], ('1', 0.9761067628860474)], [[[320.0, 480.0], [365.0, 482.0], [364.0, 501.0], [319.0, 499.0]], ('28.00', 0.9930379986763)], [[[433.0, 483.0], [478.0, 483.0], [478.0, 502.0], [433.0, 502.0]], ('28.00', 0.9934042096138)], [[[95.0, 493.0], [298.0, 499.0], [298.0, 516.0], [95.0, 510.0]], ('SUPREMELUMINAID PA OS', 0.9433946013450623)], [[[108.0, 524.0], [199.0, 524.0], [199.0, 541.0], [108.0, 541.0]], ('52977RED', 0.987025260925293)], [[[270.0, 529.0], [282.0, 529.0], [282.0, 544.0], [270.0, 544.0]], ('1', 0.9788747429847717)], [[[319.0, 529.0], [364.0, 529.0], [364.0, 548.0], [319.0, 548.0]], ('42.00', 0.9952356219291687)], [[[432.0, 531.0], [479.0, 533.0], [478.0, 552.0], [431.0, 550.0]], ('42.00', 0.9951674342155457)], [[[92.0, 541.0], [297.0, 546.0], [297.0, 563.0], [92.0, 558.0]], ('SIGG METAL BOX PLUS CS', 0.8756982684135437)], [[[104.0, 572.0], [196.0, 572.0], [196.0, 589.0], [104.0, 589.0]], ('52978RED', 0.9905493259429932)], [[[268.0, 577.0], [283.0, 577.0], [283.0, 592.0], [268.0, 592.0]], ('1', 0.9826611876487732)], [[[317.0, 574.0], [367.0, 578.0], [365.0, 599.0], [315.0, 595.0]], ('46.00', 0.993039608001709)], [[[88.0, 589.0], [297.0, 594.0], [297.0, 614.0], [88.0, 609.0]], ('SIGG METAL BOX PLS OS', 0.913038969039917)], [[[432.0, 582.0], [480.0, 582.0], [480.0, 601.0], [432.0, 601.0]], ('46.00', 0.9957138895988464)], [[[100.0, 619.0], [192.0, 621.0], [191.0, 639.0], [100.0, 637.0]], ('52987 TAN', 0.9388260245323181)], [[[268.0, 627.0], [278.0, 627.0], [278.0, 642.0], [268.0, 642.0]], ('1', 0.6219041347503662)], [[[311.0, 624.0], [365.0, 627.0], [363.0, 648.0], [309.0, 645.0]], ('158.00', 0.9955114722251892)], [[[85.0, 639.0], [171.0, 642.0], [170.0, 660.0], [85.0, 657.0]], ('BACKPACK', 0.9952563047409058)], [[[422.0, 630.0], [482.0, 633.0], [481.0, 654.0], [421.0, 651.0]], ('158.00', 0.9930698871612549)], [[[265.0, 644.0], [292.0, 644.0], [292.0, 665.0], [265.0, 665.0]], ('OS', 0.6807075142860413)], [[[96.0, 671.0], [189.0, 674.0], [188.0, 692.0], [96.0, 689.0]], ('52995 TAN', 0.9384216666221619)], [[[267.0, 677.0], [280.0, 680.0], [277.0, 697.0], [264.0, 694.0]], ('1', 0.9534826874732971)], [[[315.0, 677.0], [364.0, 681.0], [362.0, 701.0], [313.0, 697.0]], ('88.00', 0.9384889602661133)], [[[81.0, 690.0], [169.0, 693.0], [168.0, 711.0], [81.0, 708.0]], ('WAISTEAG', 0.9575106501579285)], [[[432.0, 682.0], [481.0, 685.0], [480.0, 704.0], [431.0, 701.0]], ('88.00', 0.9938658475875854)], [[[262.0, 697.0], [290.0, 697.0], [290.0, 717.0], [262.0, 717.0]], ('OS', 0.6192966103553772)], [[[93.0, 721.0], [187.0, 725.0], [186.0, 745.0], [92.0, 741.0]], ('52999 TAN', 0.9421095252037048)], [[[82.0, 738.0], [203.0, 743.0], [202.0, 760.0], [82.0, 755.0]], ('SHOULDERBRG', 0.8981425762176514)], [[[265.0, 734.0], [275.0, 734.0], [275.0, 749.0], [265.0, 749.0]], ('1', 0.5557910203933716)], [[[314.0, 732.0], [362.0, 732.0], [362.0, 751.0], [314.0, 751.0]], ('54.00', 0.9920098185539246)], [[[431.0, 733.0], [480.0, 733.0], [480.0, 752.0], [431.0, 752.0]], ('54.00', 0.9874991178512573)], [[[92.0, 771.0], [187.0, 771.0], [187.0, 789.0], [92.0, 789.0]], ('53003 TAN', 0.9434489011764526)], [[[262.0, 771.0], [280.0, 771.0], [280.0, 789.0], [262.0, 789.0]], ('1', 0.9841626882553101)], [[[306.0, 772.0], [360.0, 772.0], [360.0, 790.0], [306.0, 790.0]], ('168.00', 0.9859516024589539)], [[[419.0, 769.0], [477.0, 769.0], [477.0, 790.0], [419.0, 790.0]], ('168.00', 0.9385853409767151)]]	{"store_name": "SUPREMELA", "store_addr": "439N.FAIRFAXAVENUE LOSANGELES,CA90036", "telephone": "PH.323.655.6205", "date": "2/19/2018 2/19/2018", "time": "5:31:16PM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SUPREME/LUMINAIDPAO/S", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SIGGMETALBOXPLUSO/S", "item_value": "42.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SIGGMETALBOXPLUSO/S", "item_value": "46.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BACKPACK", "item_value": "158.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WAISTBAG", "item_value": "88.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SHOULDERBAG", "item_value": "54.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "168.00", "item_quantity": "1"}, {"item_key": "ITEM#", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[98.0, 37.0], [186.0, 40.0], [185.0, 53.0], [97.0, 50.0]], ('Chai Midtown West', 0.8664408922195435)], [[[89.0, 48.0], [196.0, 51.0], [196.0, 65.0], [89.0, 62.0]], ('930 8th Ave 55th St', 0.930618405342102)], [[[98.0, 61.0], [191.0, 63.0], [190.0, 76.0], [98.0, 74.0]], ('New York.NY 10019', 0.8752433657646179)], [[[108.0, 73.0], [181.0, 74.0], [181.0, 88.0], [108.0, 87.0]], ('212707-8778', 0.9884300827980042)], [[[44.0, 94.0], [126.0, 95.0], [126.0, 110.0], [44.0, 108.0]], ('Server:Waiter 2', 0.8809235095977783)], [[[191.0, 96.0], [244.0, 99.0], [244.0, 113.0], [190.0, 110.0]], ('Station:8', 0.9200999140739441)], [[[42.0, 117.0], [116.0, 119.0], [116.0, 133.0], [42.0, 132.0]], ('Order 41309', 0.932362973690033)], [[[203.0, 119.0], [244.0, 122.0], [244.0, 136.0], [203.0, 133.0]], ('Dine In', 0.9699088335037231)], [[[43.0, 129.0], [89.0, 132.0], [89.0, 146.0], [42.0, 143.0]], ('Table:8', 0.9303712844848633)], [[[195.0, 131.0], [244.0, 134.0], [244.0, 148.0], [194.0, 145.0]], ('Guests:1', 0.9403066039085388)], [[[41.0, 151.0], [92.0, 155.0], [91.0, 169.0], [40.0, 165.0]], ('2 Sapporo', 0.9141715168952942)], [[[40.0, 162.0], [81.0, 166.0], [80.0, 180.0], [39.0, 176.0]], ('1 Satay', 0.9234256744384766)], [[[216.0, 154.0], [245.0, 154.0], [245.0, 168.0], [216.0, 168.0]], ('10.00', 0.991660475730896)], [[[38.0, 175.0], [150.0, 174.0], [150.0, 188.0], [38.0, 189.0]], ('1 Pad Tha1 Chai Style', 0.8394402861595154)], [[[220.0, 166.0], [245.0, 166.0], [245.0, 178.0], [220.0, 178.0]], ('6.00', 0.9849369525909424)], [[[47.0, 186.0], [86.0, 188.0], [86.0, 199.0], [47.0, 197.0]], ('Shrimp.', 0.887913703918457)], [[[218.0, 177.0], [246.0, 177.0], [246.0, 188.0], [218.0, 188.0]], ('12.00', 0.9951995611190796)], [[[47.0, 197.0], [114.0, 197.0], [114.0, 208.0], [47.0, 208.0]], ('Extra Shrimp', 0.9514796137809753)], [[[36.0, 222.0], [106.0, 222.0], [106.0, 233.0], [36.0, 233.0]], ('Bar Subtetal:', 0.870236337184906)], [[[219.0, 220.0], [250.0, 220.0], [250.0, 234.0], [219.0, 234.0]], ('10.00', 0.9922311902046204)], [[[38.0, 234.0], [112.0, 234.0], [112.0, 246.0], [38.0, 246.0]], ('Food Subtotal:', 0.9546314477920532)], [[[219.0, 233.0], [249.0, 233.0], [249.0, 247.0], [219.0, 247.0]], ('18.00', 0.9959508776664734)], [[[40.0, 246.0], [73.0, 246.0], [73.0, 257.0], [40.0, 257.0]], ('Tax 1', 0.8719013333320618)], [[[224.0, 247.0], [248.0, 247.0], [248.0, 259.0], [224.0, 259.0]], ('2.49', 0.9937764406204224)], [[[39.0, 269.0], [73.0, 269.0], [73.0, 283.0], [39.0, 283.0]], ('TOTAL:', 0.9887345433235168)], [[[213.0, 270.0], [249.0, 270.0], [249.0, 284.0], [213.0, 284.0]], ('$30.49', 0.9936625361442566)], [[[90.0, 295.0], [191.0, 295.0], [191.0, 308.0], [90.0, 308.0]], ('>Ticket#147<', 0.8753580451011658)], [[[89.0, 306.0], [196.0, 307.0], [196.0, 321.0], [89.0, 320.0]], ('5/28/20146:43:53PM', 0.9508020877838135)], [[[36.0, 332.0], [247.0, 335.0], [247.0, 348.0], [36.0, 345.0]], ('****************************************', 0.9505176544189453)], [[[36.0, 348.0], [233.0, 348.0], [233.0, 361.0], [36.0, 361.0]], ('Thank you for dining at Chat Midtown!', 0.9340640902519226)], [[[35.0, 387.0], [143.0, 387.0], [143.0, 400.0], [35.0, 400.0]], ('18%Gratuity=$5.60', 0.9387686848640442)], [[[34.0, 401.0], [143.0, 401.0], [143.0, 414.0], [34.0, 414.0]], ('20% Gratuity=$6.16', 0.94938725233078)]]	{"store_name": "", "store_addr": "NewYork,NY10019 9308thAve@55thSt. ChatMidtownWest", "telephone": "(212)707-8778", "date": "5/28/2014", "time": "6:43:53PM", "subtotal": "", "tax": "2.49", "total": "$30.49", "ignore": "", "tips": "20%Gratuity=$6.16 18%Gratuity=$5.60", "line_items": [{"item_key": "", "item_name": "ExtraShrimp.", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Shrimp.", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PadThaiChaiStyle", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Satay", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Sapporo", "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	[[[[101.0, 54.0], [221.0, 54.0], [221.0, 64.0], [101.0, 64.0]], ('[email protected]', 0.9239526987075806)], [[[135.0, 66.0], [188.0, 66.0], [188.0, 77.0], [135.0, 77.0]], ('Tal02-60480', 0.8690187931060791)], [[[80.0, 83.0], [141.0, 84.0], [141.0, 95.0], [80.0, 94.0]], ('CashierHtweKy', 0.8901401162147522)], [[[163.0, 86.0], [180.0, 86.0], [180.0, 94.0], [163.0, 94.0]], ('Date', 0.9620048999786377)], [[[192.0, 85.0], [236.0, 85.0], [236.0, 95.0], [192.0, 95.0]], ('24/10/2017', 0.9802826642990112)], [[[78.0, 107.0], [120.0, 110.0], [120.0, 121.0], [78.0, 118.0]], ('Cover4', 0.9051268100738525)], [[[161.0, 108.0], [237.0, 108.0], [237.0, 122.0], [161.0, 122.0]], ('PrintTme9:20:25PM', 0.8623442053794861)], [[[78.0, 126.0], [117.0, 126.0], [117.0, 137.0], [78.0, 137.0]], ('Item Name', 0.8683229684829712)], [[[169.0, 126.0], [194.0, 126.0], [194.0, 137.0], [169.0, 137.0]], ('Pice', 0.7278419733047485)], [[[192.0, 127.0], [213.0, 127.0], [213.0, 138.0], [192.0, 138.0]], ('Qty', 0.9277850985527039)], [[[210.0, 127.0], [238.0, 127.0], [238.0, 138.0], [210.0, 138.0]], ('Amourt', 0.853308916091919)], [[[78.0, 141.0], [128.0, 141.0], [128.0, 152.0], [78.0, 152.0]], ('MyanBeer(L', 0.9123377799987793)], [[[163.0, 140.0], [185.0, 140.0], [185.0, 152.0], [163.0, 152.0]], ('2,500', 0.9891835451126099)], [[[198.0, 142.0], [207.0, 142.0], [207.0, 151.0], [198.0, 151.0]], ('2', 0.9885021448135376)], [[[215.0, 140.0], [238.0, 140.0], [238.0, 152.0], [215.0, 152.0]], ('5,000', 0.9152318835258484)], [[[76.0, 154.0], [118.0, 157.0], [118.0, 171.0], [76.0, 169.0]], ('Pepsi(olue)', 0.7274150252342224)], [[[163.0, 156.0], [184.0, 156.0], [184.0, 168.0], [163.0, 168.0]], ('1,000', 0.9836851954460144)], [[[203.0, 157.0], [207.0, 162.0], [203.0, 167.0], [198.0, 162.0]], ('2', 0.6103845834732056)], [[[218.0, 156.0], [239.0, 156.0], [239.0, 168.0], [218.0, 168.0]], ('2,000', 0.9718551635742188)], [[[75.0, 174.0], [93.0, 174.0], [93.0, 186.0], [75.0, 186.0]], ('PH7', 0.9592433571815491)], [[[169.0, 173.0], [185.0, 173.0], [185.0, 185.0], [169.0, 185.0]], ('500', 0.9938181042671204)], [[[224.0, 171.0], [240.0, 173.0], [238.0, 186.0], [222.0, 184.0]], ('500', 0.9797735810279846)], [[[75.0, 188.0], [98.0, 188.0], [98.0, 200.0], [75.0, 200.0]], ('Sprite', 0.9922563433647156)], [[[163.0, 187.0], [184.0, 187.0], [184.0, 199.0], [163.0, 199.0]], ('1,000', 0.9613531231880188)], [[[200.0, 188.0], [207.0, 188.0], [207.0, 198.0], [200.0, 198.0]], ('2', 0.6532919406890869)], [[[218.0, 187.0], [239.0, 187.0], [239.0, 199.0], [218.0, 199.0]], ('2,000', 0.9672766923904419)], [[[163.0, 204.0], [184.0, 204.0], [184.0, 216.0], [163.0, 216.0]], ('6,500', 0.974794864654541)], [[[200.0, 205.0], [207.0, 205.0], [207.0, 215.0], [200.0, 215.0]], ('1', 0.961018979549408)], [[[218.0, 204.0], [240.0, 204.0], [240.0, 216.0], [218.0, 216.0]], ('6,500', 0.9868035316467285)], [[[163.0, 222.0], [184.0, 222.0], [184.0, 233.0], [163.0, 233.0]], ('3,500', 0.9848566055297852)], [[[219.0, 221.0], [240.0, 221.0], [240.0, 233.0], [219.0, 233.0]], ('3,500', 0.9952308535575867)], [[[75.0, 240.0], [142.0, 240.0], [142.0, 254.0], [75.0, 254.0]], ('Bosyacocoolg', 0.5856810212135315)], [[[163.0, 240.0], [185.0, 240.0], [185.0, 251.0], [163.0, 251.0]], ('6,500', 0.9722633361816406)], [[[201.0, 241.0], [208.0, 241.0], [208.0, 250.0], [201.0, 250.0]], ('1', 0.7449583411216736)], [[[218.0, 240.0], [241.0, 240.0], [241.0, 251.0], [218.0, 251.0]], ('6,500', 0.9774378538131714)], [[[164.0, 265.0], [185.0, 265.0], [185.0, 277.0], [164.0, 277.0]], ('1,500', 0.9925448298454285)], [[[201.0, 267.0], [208.0, 267.0], [208.0, 276.0], [201.0, 276.0]], ('1', 0.8558642268180847)], [[[220.0, 265.0], [241.0, 265.0], [241.0, 277.0], [220.0, 277.0]], ('1,500', 0.9737777709960938)], [[[72.0, 283.0], [137.0, 281.0], [138.0, 298.0], [72.0, 300.0]], ('agoonockhag', 0.5513341426849365)], [[[163.0, 283.0], [185.0, 283.0], [185.0, 295.0], [163.0, 295.0]], ('1,500', 0.979427695274353)], [[[201.0, 285.0], [208.0, 285.0], [208.0, 294.0], [201.0, 294.0]], ('1', 0.976157546043396)], [[[219.0, 283.0], [242.0, 283.0], [242.0, 295.0], [219.0, 295.0]], ('1,500', 0.984186053276062)], [[[72.0, 299.0], [91.0, 299.0], [91.0, 311.0], [72.0, 311.0]], ('poS)', 0.5701186060905457)], [[[89.0, 316.0], [137.0, 316.0], [137.0, 327.0], [89.0, 327.0]], ('TotalAmount', 0.9664363861083984)], [[[218.0, 315.0], [245.0, 315.0], [245.0, 328.0], [218.0, 328.0]], ('29,000', 0.9926772117614746)], [[[89.0, 333.0], [134.0, 333.0], [134.0, 345.0], [89.0, 345.0]], ('Tax Amount', 0.9661544561386108)], [[[88.0, 352.0], [143.0, 352.0], [143.0, 363.0], [88.0, 363.0]], ('Service Amount', 0.9611919522285461)], [[[234.0, 352.0], [243.0, 349.0], [247.0, 360.0], [237.0, 364.0]], ('0', 0.6179282069206238)], [[[87.0, 364.0], [153.0, 364.0], [153.0, 375.0], [87.0, 375.0]], ('DiscountAmount', 0.9615627527236938)], [[[234.0, 365.0], [243.0, 361.0], [248.0, 371.0], [239.0, 376.0]], ('0', 0.636616051197052)], [[[87.0, 378.0], [144.0, 378.0], [144.0, 388.0], [87.0, 388.0]], ('Sp:Disc Amount', 0.8984187245368958)], [[[215.0, 389.0], [247.0, 389.0], [247.0, 403.0], [215.0, 403.0]], ('29,000', 0.9528536796569824)], [[[234.0, 381.0], [244.0, 374.0], [249.0, 383.0], [239.0, 390.0]], ('0', 0.5360540151596069)], [[[87.0, 391.0], [131.0, 391.0], [131.0, 402.0], [87.0, 402.0]], ('Net Amount', 0.9942938685417175)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": ":24/10/2017", "time": "9:20:25PM", "subtotal": "29,000", "tax": "0", "total": "29,000", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PH7", "item_value": "5,000", "item_quantity": "1"}, {"item_key": "", "item_name": "Sprite", "item_value": "2,000", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "500", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2,000", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "6,500", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3,500", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "6,500", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1,500", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1,500", "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	[[[[116.0, 92.0], [440.0, 118.0], [437.0, 161.0], [112.0, 136.0]], ("Sainsbury's", 0.9804834723472595)], [[[113.0, 142.0], [429.0, 163.0], [426.0, 209.0], [110.0, 188.0]], ('live well for less', 0.8920069932937622)], [[[161.0, 312.0], [402.0, 306.0], [403.0, 330.0], [162.0, 335.0]], ('www.sainsburys.co.uk', 0.9922002553939819)], [[[137.0, 332.0], [426.0, 328.0], [427.0, 355.0], [138.0, 359.0]], ('Vat Number :660 4548 36', 0.8952577710151672)], [[[37.0, 380.0], [268.0, 381.0], [267.0, 402.0], [37.0, 401.0]], ('CALPOLVAPOUR PLUG', 0.9550548195838928)], [[[388.0, 376.0], [449.0, 376.0], [449.0, 401.0], [388.0, 401.0]], ('3.00', 0.9877392053604126)], [[[36.0, 406.0], [267.0, 405.0], [267.0, 425.0], [36.0, 426.0]], ('CALPOL VAPOUR PLUG', 0.9476982951164246)], [[[388.0, 403.0], [447.0, 403.0], [447.0, 424.0], [388.0, 424.0]], ('3.00', 0.9915159344673157)], [[[10.0, 430.0], [303.0, 429.0], [304.0, 450.0], [10.0, 451.0]], ('THINK 25Check Pending', 0.9661762714385986)], [[[35.0, 455.0], [216.0, 452.0], [216.0, 472.0], [35.0, 475.0]], ('*JS PARACETAMOL', 0.9367642998695374)], [[[386.0, 449.0], [447.0, 449.0], [447.0, 474.0], [386.0, 474.0]], ('2.05', 0.9854956865310669)], [[[37.0, 479.0], [243.0, 474.0], [244.0, 494.0], [37.0, 498.0]], ('JS GAR & COR POPP', 0.8973784446716309)], [[[386.0, 472.0], [448.0, 472.0], [448.0, 496.0], [386.0, 496.0]], ('0.95', 0.9911645650863647)], [[[36.0, 501.0], [243.0, 499.0], [244.0, 520.0], [36.0, 522.0]], ('JS GAR & COR POPP', 0.8759104609489441)], [[[386.0, 495.0], [450.0, 495.0], [450.0, 520.0], [386.0, 520.0]], ('0.95', 0.9829833507537842)], [[[9.0, 527.0], [114.0, 522.0], [116.0, 546.0], [10.0, 551.0]], ('THINK 25', 0.9440189599990845)], [[[144.0, 524.0], [451.0, 521.0], [451.0, 544.0], [144.0, 547.0]], ('Cashier Confirmed Over 16', 0.9430274963378906)]]	{"store_name": "Sainsbury's Sainsbury'sSupermarketsLtd", "store_addr": "33HolbornLondonEC1N2HT", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CALPOLVAPOURPLUG", "item_value": "\u00a33.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CALPOLVAPOURPLUG", "item_value": "\u00a33.00", "item_quantity": "1"}, {"item_key": "", "item_name": "*JSPARACETAMOL", "item_value": "\u00a32.05", "item_quantity": "1"}, {"item_key": "", "item_name": "LSGAR&CORPOPP", "item_value": "\u00a30.95", "item_quantity": "1"}, {"item_key": "", "item_name": "JSGAR&CORPOPP", "item_value": "\u00a30.95", "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	[[[[102.0, 0.0], [215.0, 4.0], [214.0, 18.0], [102.0, 14.0]], ('GSTNo200910135R', 0.990566611289978)], [[[78.0, 14.0], [237.0, 20.0], [237.0, 36.0], [77.0, 29.0]], ('Changi Business Park Ave 1', 0.9197514653205872)], [[[46.0, 28.0], [271.0, 35.0], [271.0, 52.0], [45.0, 44.0]], ('Leve1 1.Unit#01-24 Bussiness Park', 0.9047075510025024)], [[[96.0, 46.0], [226.0, 50.0], [225.0, 64.0], [96.0, 61.0]], ('UE BizHub EAST 468017', 0.9271618723869324)], [[[121.0, 64.0], [195.0, 64.0], [195.0, 78.0], [121.0, 78.0]], ('PH65427057', 0.9935121536254883)], [[[35.0, 74.0], [104.0, 77.0], [103.0, 91.0], [34.0, 88.0]], ('10COUNTER1', 0.9623991847038269)], [[[33.0, 89.0], [112.0, 92.0], [111.0, 109.0], [32.0, 106.0]], ('Print Cnt:1', 0.9164379239082336)], [[[205.0, 81.0], [278.0, 81.0], [278.0, 95.0], [205.0, 95.0]], ('1021 CASHIER', 0.9682328104972839)], [[[204.0, 93.0], [278.0, 95.0], [277.0, 112.0], [203.0, 110.0]], ('1021 CASHIER', 0.9493584632873535)], [[[35.0, 120.0], [107.0, 123.0], [106.0, 138.0], [34.0, 135.0]], ('Check:12693', 0.9540254473686218)], [[[102.0, 135.0], [211.0, 139.0], [210.0, 153.0], [102.0, 150.0]], ('05Dec 12 12:04:06', 0.8852447271347046)], [[[233.0, 126.0], [279.0, 126.0], [279.0, 140.0], [233.0, 140.0]], ('Cover:0', 0.8880863189697266)], [[[37.0, 150.0], [156.0, 152.0], [156.0, 167.0], [36.0, 165.0]], ('TAG:15/1', 0.9268584847450256)], [[[52.0, 180.0], [163.0, 183.0], [163.0, 197.0], [51.0, 194.0]], ('Curry Chicken Rice', 0.958141028881073)], [[[224.0, 184.0], [253.0, 184.0], [253.0, 199.0], [224.0, 199.0]], ('5.90', 0.9969395995140076)], [[[54.0, 194.0], [136.0, 196.0], [135.0, 211.0], [53.0, 208.0]], ('Ice Lemon Tea', 0.9282349348068237)], [[[54.0, 206.0], [146.0, 210.0], [145.0, 227.0], [53.0, 223.0]], ('Signature Laksa', 0.962604284286499)], [[[224.0, 199.0], [253.0, 199.0], [253.0, 214.0], [224.0, 214.0]], ('1.90', 0.9898389577865601)], [[[223.0, 210.0], [254.0, 213.0], [252.0, 229.0], [222.0, 226.0]], ('060', 0.5127184391021729)], [[[53.0, 223.0], [134.0, 226.0], [133.0, 239.0], [52.0, 237.0]], ('Mineral Water', 0.9471006989479065)], [[[223.0, 227.0], [252.0, 227.0], [252.0, 243.0], [223.0, 243.0]], ('1.90', 0.9956238269805908)], [[[54.0, 253.0], [116.0, 253.0], [116.0, 267.0], [54.0, 267.0]], ('Sub Total', 0.9079577326774597)], [[[219.0, 256.0], [253.0, 258.0], [252.0, 273.0], [218.0, 271.0]], ('15.60', 0.9943920373916626)], [[[53.0, 267.0], [94.0, 269.0], [93.0, 284.0], [52.0, 282.0]], ('Total:', 0.9510580897331238)], [[[219.0, 271.0], [253.0, 273.0], [252.0, 289.0], [218.0, 286.0]], ('15.60', 0.9939042329788208)], [[[52.0, 281.0], [81.0, 284.0], [79.0, 300.0], [50.0, 297.0]], ('Pay:', 0.9456299543380737)], [[[217.0, 285.0], [252.0, 288.0], [251.0, 303.0], [216.0, 300.0]], ('20.00', 0.9938936233520508)], [[[51.0, 296.0], [81.0, 299.0], [79.0, 315.0], [50.0, 312.0]], ('CASH', 0.9767194986343384)], [[[51.0, 312.0], [119.0, 312.0], [119.0, 329.0], [51.0, 329.0]], ('Change Due:', 0.9287687540054321)], [[[218.0, 303.0], [252.0, 303.0], [252.0, 317.0], [218.0, 317.0]], ('20.00', 0.9966102838516235)], [[[50.0, 326.0], [101.0, 328.0], [100.0, 345.0], [49.0, 343.0]], ('GST Inc', 0.9382088780403137)], [[[223.0, 318.0], [252.0, 318.0], [252.0, 333.0], [223.0, 333.0]], ('4.40', 0.9944596290588379)], [[[223.0, 333.0], [252.0, 333.0], [252.0, 347.0], [223.0, 347.0]], ('1.02', 0.9941895604133606)]]	{"store_name": "", "store_addr": "ChangiBusinessParkAve1 Level1,Unit:#01-24BussinessPark1 UEBizHubEAST468017", "telephone": "65427057", "date": "05Dec12", "time": "12:04:06", "subtotal": "15.60", "tax": "1.02", "total": "15.60", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CurryChickenRice", "item_value": "1.90", "item_quantity": "1"}, {"item_key": "", "item_name": "IceLemonTea", "item_value": "5.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SignatureLaksa", "item_value": "1.90", "item_quantity": "1"}, {"item_key": "", "item_name": "MineralWater", "item_value": "5.90", "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	[[[[91.0, 55.0], [125.0, 57.0], [124.0, 71.0], [90.0, 69.0]], ('H STORE', 0.650966227054596)], [[[85.0, 72.0], [130.0, 75.0], [129.0, 85.0], [84.0, 82.0]], ('35-596-985', 0.5691609382629395)], [[[32.0, 85.0], [79.0, 87.0], [78.0, 99.0], [32.0, 97.0]], ('81RE00001', 0.8213029503822327)], [[[33.0, 96.0], [78.0, 96.0], [78.0, 106.0], [33.0, 106.0]], ('CASHLERSaM', 0.7366766333580017)], [[[93.0, 88.0], [142.0, 89.0], [142.0, 100.0], [92.0, 99.0]], ('RGLTER002', 0.7178495526313782)], [[[31.0, 100.0], [112.0, 103.0], [111.0, 117.0], [31.0, 114.0]], ('A650CATE000016', 0.5639294981956482)], [[[31.0, 118.0], [107.0, 121.0], [106.0, 131.0], [31.0, 128.0]], ('CUSTOMRRECEIFTCOPY', 0.7507178783416748)], [[[31.0, 126.0], [140.0, 127.0], [140.0, 138.0], [31.0, 137.0]], ('CUSTOMERNR101250717599', 0.7717410922050476)], [[[32.0, 142.0], [82.0, 143.0], [81.0, 154.0], [32.0, 153.0]], ('F1RST FRCOCT', 0.6324551105499268)], [[[33.0, 150.0], [104.0, 150.0], [104.0, 161.0], [33.0, 161.0]], ('508214-00612,89', 0.8578345775604248)], [[[162.0, 142.0], [183.0, 142.0], [183.0, 153.0], [162.0, 153.0]], ('12.99', 0.7485007643699646)], [[[33.0, 164.0], [82.0, 166.0], [81.0, 176.0], [33.0, 174.0]], ('SECGIE FRCOUCT', 0.6176255345344543)], [[[162.0, 163.0], [183.0, 166.0], [181.0, 177.0], [161.0, 174.0]], ('10,99', 0.8886305689811707)], [[[33.0, 173.0], [104.0, 173.0], [104.0, 183.0], [33.0, 183.0]], ('0459-0021899', 0.6710174083709717)], [[[33.0, 195.0], [103.0, 195.0], [103.0, 206.0], [33.0, 206.0]], ('505453-0331822.99', 0.7425397634506226)], [[[34.0, 188.0], [82.0, 188.0], [82.0, 198.0], [34.0, 198.0]], ('THIRO PROOUET', 0.7367160320281982)], [[[161.0, 187.0], [182.0, 187.0], [182.0, 199.0], [161.0, 199.0]], ('22.99', 0.8707424998283386)], [[[32.0, 229.0], [67.0, 231.0], [66.0, 245.0], [31.0, 243.0]], ('SALEET', 0.7369334101676941)], [[[33.0, 224.0], [63.0, 224.0], [63.0, 234.0], [33.0, 234.0]], ('S.6TOTAL', 0.7863537073135376)], [[[33.0, 238.0], [52.0, 238.0], [52.0, 250.0], [33.0, 250.0]], ('TOTAL', 0.985201358795166)], [[[33.0, 255.0], [80.0, 255.0], [80.0, 265.0], [33.0, 265.0]], ('CAON TEDERED', 0.6147947907447815)], [[[33.0, 261.0], [56.0, 263.0], [55.0, 273.0], [31.0, 271.0]], ('CHVEE', 0.6822382807731628)], [[[32.0, 273.0], [96.0, 275.0], [95.0, 289.0], [32.0, 287.0]], ('SAT', 0.7683051228523254)], [[[34.0, 283.0], [51.0, 283.0], [51.0, 294.0], [34.0, 294.0]], ('COR', 0.5708947777748108)], [[[163.0, 278.0], [184.0, 283.0], [179.0, 306.0], [157.0, 301.0]], ('1.', 0.5163185596466064)], [[[34.0, 304.0], [77.0, 304.0], [77.0, 315.0], [34.0, 315.0]], ('Int 100766', 0.7491029500961304)], [[[115.0, 303.0], [178.0, 305.0], [178.0, 316.0], [114.0, 314.0]], ('/31/20047', 0.8056918382644653)], [[[121.0, 327.0], [168.0, 328.0], [168.0, 336.0], [120.0, 335.0]], ('.coa', 0.6475435495376587)], [[[103.0, 348.0], [174.0, 350.0], [174.0, 357.0], [102.0, 355.0]], ('SILERSCESFTETORC-CONT', 0.713416337966919)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "50.57", "tax": "1.06", "total": "54.03", "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	[[[[236.0, 124.0], [423.0, 130.0], [422.0, 160.0], [235.0, 154.0]], ('More saving', 0.9923227429389954)], [[[233.0, 163.0], [416.0, 166.0], [416.0, 197.0], [233.0, 194.0]], ('More doing.', 0.9722122550010681)], [[[203.0, 176.0], [220.0, 176.0], [220.0, 190.0], [203.0, 190.0]], ('R', 0.9915409684181213)], [[[49.0, 215.0], [427.0, 217.0], [427.0, 241.0], [49.0, 239.0]], ('2435 LAFAYETTE ST SANTA CLARACA.95050', 0.9546062350273132)], [[[174.0, 240.0], [294.0, 239.0], [294.0, 257.0], [174.0, 258.0]], ('408492-9600', 0.9951183795928955)], [[[51.0, 275.0], [223.0, 277.0], [223.0, 295.0], [51.0, 293.0]], ('06300000428029', 0.9949027895927429)], [[[256.0, 278.0], [421.0, 278.0], [421.0, 295.0], [256.0, 295.0]], ('07/12/1208:31PM', 0.9763551950454712)], [[[51.0, 294.0], [248.0, 297.0], [248.0, 317.0], [51.0, 314.0]], ('CASHIER LEAH-LMT171', 0.9630382061004639)], [[[54.0, 333.0], [311.0, 334.0], [311.0, 352.0], [54.0, 351.0]], ('037000326946 SWIFFER WET <A>', 0.9232102632522583)], [[[364.0, 333.0], [412.0, 333.0], [412.0, 352.0], [364.0, 352.0]], ('21.27', 0.9929289817810059)], [[[83.0, 352.0], [401.0, 352.0], [401.0, 369.0], [83.0, 369.0]], ('SWIFFER WET JET STARTER KIT DISPLAY', 0.8874849677085876)], [[[55.0, 370.0], [284.0, 373.0], [284.0, 390.0], [55.0, 387.0]], ('037000236825 SWFRW00D <A>', 0.9350255727767944)], [[[371.0, 370.0], [411.0, 370.0], [411.0, 388.0], [371.0, 388.0]], ('5.27', 0.9954802393913269)], [[[81.0, 386.0], [409.0, 386.0], [409.0, 409.0], [81.0, 409.0]], ('SWIFFER WET JET WD CLNR REFILL 1.25L', 0.9259411692619324)], [[[56.0, 405.0], [320.0, 407.0], [320.0, 427.0], [56.0, 425.0]], ('/8408053678 GR0UT REST0R <A>', 0.9045664668083191)], [[[368.0, 407.0], [407.0, 405.0], [408.0, 424.0], [369.0, 426.0]], ('5.97', 0.9949179887771606)], [[[85.0, 426.0], [371.0, 426.0], [371.0, 443.0], [85.0, 443.0]], ('WHITE GROUT RESTORER MARKER PENS', 0.9470859169960022)], [[[210.0, 459.0], [280.0, 459.0], [280.0, 477.0], [210.0, 477.0]], ('SUBTOTAL', 0.9953757524490356)], [[[359.0, 459.0], [406.0, 459.0], [406.0, 478.0], [359.0, 478.0]], ('32.51', 0.9904353022575378)], [[[210.0, 476.0], [290.0, 476.0], [290.0, 493.0], [210.0, 493.0]], ('SALES TAX', 0.9095313549041748)], [[[365.0, 476.0], [406.0, 476.0], [406.0, 494.0], [365.0, 494.0]], ('2.72', 0.8807665705680847)], [[[211.0, 494.0], [254.0, 494.0], [254.0, 508.0], [211.0, 508.0]], ('TOTAL', 0.9971569180488586)], [[[350.0, 493.0], [406.0, 493.0], [406.0, 511.0], [350.0, 511.0]], ('$35.23', 0.9934260249137878)], [[[210.0, 509.0], [247.0, 509.0], [247.0, 524.0], [210.0, 524.0]], ('VISA', 0.9983850121498108)], [[[361.0, 507.0], [410.0, 507.0], [410.0, 529.0], [361.0, 529.0]], ('35.23', 0.9943540692329407)], [[[56.0, 524.0], [274.0, 523.0], [274.0, 543.0], [56.0, 544.0]], ('AUTH C0DE 01246B/6044056', 0.9143617749214172)], [[[390.0, 526.0], [411.0, 526.0], [411.0, 545.0], [390.0, 545.0]], ('TA', 0.9987758994102478)], [[[92.0, 650.0], [369.0, 651.0], [369.0, 669.0], [92.0, 668.0]], ('0630042802907/12/2012 9601', 0.9777308106422424)], [[[110.0, 691.0], [352.0, 691.0], [352.0, 711.0], [110.0, 711.0]], ('RETURN POLICY DEFINITIONS', 0.9658758640289307)], [[[48.0, 745.0], [112.0, 745.0], [112.0, 767.0], [48.0, 767.0]], ('Retake', 0.9972154498100281)], [[[198.0, 744.0], [282.0, 744.0], [282.0, 768.0], [198.0, 768.0]], ('Add Part', 0.9689230918884277)], [[[370.0, 743.0], [429.0, 743.0], [429.0, 768.0], [370.0, 768.0]], ('Finish', 0.9971859455108643)]]	{"store_name": "DEPOT", "store_addr": "2435LAFAYETTESTSANTACLARA,CA,95050", "telephone": "(408)492-9600", "date": "07/12/12", "time": "08:31PM", "subtotal": "32.51", "tax": "2.72", "total": "35.23 $35.23", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "WHITEGROUTRESTORERMARKERPENS", "item_value": "5.97", "item_quantity": "1"}, {"item_key": "", "item_name": "678408053678GROUTRESTOR<A>", "item_value": "5.27", "item_quantity": "1"}, {"item_key": "", "item_name": "SWIFFERWETJETWDCLNRREFILL", "item_value": "21.27", "item_quantity": "1"}, {"item_key": "", "item_name": "037000236825SWFRWOOD<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SWIFFERWETJETSTARTERKITDISPLAY", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "037000326946SWIFFERWET<A>", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[191.0, 118.0], [365.0, 116.0], [365.0, 137.0], [192.0, 139.0]], ('Bistecca', 0.9958032369613647)], [[[179.0, 141.0], [379.0, 137.0], [379.0, 160.0], [180.0, 164.0]], ('Restaurant Pte Ltd', 0.9688140153884888)], [[[161.0, 165.0], [400.0, 159.0], [401.0, 182.0], [161.0, 188.0]], ('GST Reg No:201114510R', 0.9336832761764526)], [[[220.0, 207.0], [367.0, 204.0], [367.0, 227.0], [220.0, 230.0]], ('TABLE:3', 0.9317643046379089)], [[[228.0, 228.0], [295.0, 230.0], [295.0, 252.0], [227.0, 250.0]], ('OP:Sam', 0.9141066670417786)], [[[396.0, 224.0], [436.0, 224.0], [436.0, 251.0], [396.0, 251.0]], ('Sam', 0.997175395488739)], [[[66.0, 235.0], [126.0, 230.0], [128.0, 253.0], [67.0, 258.0]], ('Pax:2', 0.9065750241279602)], [[[70.0, 253.0], [261.0, 252.0], [262.0, 273.0], [70.0, 274.0]], ('POS Title:Cashier2', 0.9519093036651611)], [[[386.0, 249.0], [497.0, 247.0], [498.0, 268.0], [386.0, 270.0]], ('POS:POS002', 0.9110491871833801)], [[[72.0, 276.0], [261.0, 272.0], [262.0, 293.0], [72.0, 297.0]], ('Rcpt#:A12000007477', 0.9722938537597656)], [[[323.0, 272.0], [496.0, 268.0], [497.0, 289.0], [323.0, 293.0]], ('21/10/2012 19:42', 0.9602601528167725)], [[[98.0, 316.0], [302.0, 314.0], [302.0, 335.0], [98.0, 337.0]], ('1 Asparagi grigliati', 0.9556311368942261)], [[[427.0, 310.0], [497.0, 312.0], [496.0, 334.0], [426.0, 332.0]], ('$14.00', 0.9965729713439941)], [[[98.0, 336.0], [325.0, 335.0], [325.0, 355.0], [98.0, 356.0]], ('1 Bava ContrabasBarolo', 0.956614077091217)], [[[417.0, 335.0], [493.0, 335.0], [493.0, 353.0], [417.0, 353.0]], ('$165.00', 0.9955918192863464)], [[[101.0, 357.0], [316.0, 357.0], [316.0, 377.0], [101.0, 377.0]], ('1 Bruschetta Pomodoro', 0.9644805192947388)], [[[426.0, 355.0], [492.0, 355.0], [492.0, 373.0], [426.0, 373.0]], ('$18.00', 0.9977464079856873)], [[[103.0, 377.0], [194.0, 377.0], [194.0, 394.0], [103.0, 394.0]], ('1Costata', 0.9873580932617188)], [[[415.0, 373.0], [491.0, 370.0], [492.0, 391.0], [416.0, 394.0]], ('$178.00', 0.9954343438148499)], [[[102.0, 396.0], [224.0, 394.0], [224.0, 414.0], [102.0, 416.0]], ('1Limoncello', 0.9606387615203857)], [[[425.0, 392.0], [492.0, 392.0], [492.0, 413.0], [425.0, 413.0]], ('$13.00', 0.9963736534118652)], [[[98.0, 414.0], [223.0, 414.0], [223.0, 434.0], [98.0, 434.0]], ('1 Panzanella', 0.9288265109062195)], [[[429.0, 413.0], [492.0, 413.0], [492.0, 431.0], [429.0, 431.0]], ('$25.00', 0.9956038594245911)], [[[114.0, 435.0], [262.0, 435.0], [262.0, 452.0], [114.0, 452.0]], ('Pure di patate', 0.944826602935791)], [[[427.0, 432.0], [495.0, 430.0], [496.0, 451.0], [428.0, 453.0]], ('$10.00', 0.996043860912323)], [[[96.0, 454.0], [253.0, 454.0], [253.0, 474.0], [96.0, 474.0]], ('1 Single Scoope', 0.9572241306304932)], [[[440.0, 451.0], [497.0, 451.0], [497.0, 472.0], [440.0, 472.0]], ('$6.00', 0.9962940216064453)], [[[95.0, 475.0], [220.0, 475.0], [220.0, 496.0], [95.0, 496.0]], ('1 Aqua Panna', 0.9524745345115662)], [[[442.0, 472.0], [499.0, 472.0], [499.0, 494.0], [442.0, 494.0]], ('$8.00', 0.9964895248413086)], [[[114.0, 515.0], [196.0, 515.0], [196.0, 539.0], [114.0, 539.0]], ('SUBTOTAL', 0.9936442375183105)], [[[421.0, 513.0], [503.0, 513.0], [503.0, 537.0], [421.0, 537.0]], ('$437.00', 0.9967308044433594)], [[[116.0, 537.0], [241.0, 537.0], [241.0, 558.0], [116.0, 558.0]], ('10% Svr Chrg', 0.9308323860168457)], [[[434.0, 536.0], [504.0, 536.0], [504.0, 558.0], [434.0, 558.0]], ('$43.70', 0.9952340126037598)], [[[114.0, 557.0], [179.0, 557.0], [179.0, 582.0], [114.0, 582.0]], ('7%GST', 0.9568073153495789)], [[[435.0, 558.0], [505.0, 558.0], [505.0, 583.0], [435.0, 583.0]], ('$33.65', 0.9941797852516174)], [[[117.0, 600.0], [214.0, 602.0], [214.0, 627.0], [116.0, 625.0]], ('TOTAL', 0.9984631538391113)], [[[351.0, 605.0], [505.0, 605.0], [505.0, 626.0], [351.0, 626.0]], ('$514.35', 0.9908439517021179)], [[[125.0, 644.0], [459.0, 649.0], [459.0, 673.0], [124.0, 668.0]], ('25 Mohamed Su1tan Rd S (238969)', 0.9179935455322266)], [[[207.0, 669.0], [363.0, 671.0], [363.0, 695.0], [207.0, 693.0]], ('Tel6735 6739', 0.9488396048545837)], [[[186.0, 691.0], [383.0, 695.0], [383.0, 719.0], [185.0, 715.0]], ('PreSettlement Bill', 0.9221963882446289)], [[[197.0, 715.0], [373.0, 719.0], [373.0, 740.0], [196.0, 736.0]], ('21/10/201221:07', 0.9873882532119751)]]	{"store_name": "Bistecca", "store_addr": "25MohamedSultanRdS(238969)", "telephone": "67356739", "date": "21/10/2012 21/10/2012", "time": "21:07", "subtotal": "$437.00", "tax": "$33.65", "total": "$514.35", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Asparagigrigliati", "item_value": "$14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BavaContrabasBarolo", "item_value": "$165.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BruschettaPomodoro", "item_value": "$18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Costata", "item_value": "$178.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Limoncello", "item_value": "$13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Panzanella", "item_value": "$25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Puredipatate", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SingleScoope", "item_value": "$6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AquaPanna", "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	[[[[70.0, 60.0], [179.0, 60.0], [179.0, 74.0], [70.0, 74.0]], ('Pathiri Restaurant', 0.9829307198524475)], [[[54.0, 73.0], [196.0, 74.0], [196.0, 88.0], [54.0, 87.0]], ('119 Trafalgar Road.Greenwich', 0.9369350075721741)], [[[64.0, 87.0], [187.0, 87.0], [187.0, 100.0], [64.0, 100.0]], ('Londoniondon SE109TX', 0.8587313890457153)], [[[90.0, 99.0], [161.0, 96.0], [161.0, 110.0], [90.0, 113.0]], ('02088581220', 0.990957498550415)], [[[87.0, 117.0], [167.0, 114.0], [167.0, 131.0], [87.0, 134.0]], ('ORDER:34', 0.9300813674926758)], [[[88.0, 136.0], [166.0, 136.0], [166.0, 153.0], [88.0, 153.0]], ('Take Away', 0.9741293787956238)], [[[20.0, 154.0], [100.0, 154.0], [100.0, 167.0], [20.0, 167.0]], ('Cashier ahkutty', 0.9426644444465637)], [[[18.0, 165.0], [130.0, 164.0], [130.0, 178.0], [19.0, 179.0]], ('24-Mar-201718:07:59', 0.9123674631118774)], [[[23.0, 189.0], [31.0, 194.0], [26.0, 203.0], [18.0, 198.0]], ('2', 0.8861263394355774)], [[[38.0, 190.0], [118.0, 190.0], [118.0, 203.0], [38.0, 203.0]], ('43.lamb Biryani', 0.9229258298873901)], [[[202.0, 187.0], [238.0, 187.0], [238.0, 198.0], [202.0, 198.0]], ('15.00', 0.9699319005012512)], [[[39.0, 203.0], [108.0, 203.0], [108.0, 214.0], [39.0, 214.0]], ('Chicken Tikka', 0.9458422064781189)], [[[205.0, 198.0], [240.0, 196.0], [241.0, 210.0], [206.0, 212.0]], ('6.95', 0.9866103529930115)], [[[38.0, 214.0], [120.0, 214.0], [120.0, 227.0], [38.0, 227.0]], ('58.Saag Paneer', 0.9362931847572327)], [[[208.0, 210.0], [240.0, 210.0], [240.0, 224.0], [208.0, 224.0]], ('5.50', 0.9890114068984985)], [[[21.0, 228.0], [29.0, 228.0], [29.0, 237.0], [21.0, 237.0]], ('1', 0.6964091062545776)], [[[38.0, 226.0], [116.0, 226.0], [116.0, 239.0], [38.0, 239.0]], ('85.Pulavu Rice', 0.948526918888092)], [[[207.0, 222.0], [241.0, 222.0], [241.0, 236.0], [207.0, 236.0]], ('2.75', 0.9803968071937561)], [[[21.0, 252.0], [48.0, 252.0], [48.0, 265.0], [21.0, 265.0]], ('Total', 0.9970476031303406)], [[[202.0, 247.0], [242.0, 247.0], [242.0, 261.0], [202.0, 261.0]], ('30.20', 0.9871647953987122)], [[[19.0, 275.0], [42.0, 275.0], [42.0, 290.0], [19.0, 290.0]], ('VAT', 0.9968671202659607)], [[[21.0, 291.0], [30.0, 291.0], [30.0, 302.0], [21.0, 302.0]], ('%', 0.8519898056983948)], [[[75.0, 288.0], [97.0, 288.0], [97.0, 300.0], [75.0, 300.0]], ('Net.', 0.9027838110923767)], [[[129.0, 286.0], [150.0, 286.0], [150.0, 298.0], [129.0, 298.0]], ('Tax', 0.9900839924812317)], [[[184.0, 286.0], [215.0, 286.0], [215.0, 297.0], [184.0, 297.0]], ('Gross', 0.9851590991020203)], [[[19.0, 302.0], [31.0, 302.0], [31.0, 315.0], [19.0, 315.0]], ('0', 0.8185047507286072)], [[[75.0, 299.0], [107.0, 299.0], [107.0, 313.0], [75.0, 313.0]], ('30.20', 0.9899307489395142)], [[[129.0, 299.0], [153.0, 299.0], [153.0, 311.0], [129.0, 311.0]], ('0.00', 0.9938977956771851)], [[[183.0, 297.0], [216.0, 297.0], [216.0, 311.0], [183.0, 311.0]], ('30.20', 0.9878454208374023)], [[[19.0, 328.0], [141.0, 321.0], [142.0, 335.0], [20.0, 342.0]], ('Order QE3MOESAMFKXA', 0.9476091265678406)], [[[86.0, 372.0], [180.0, 371.0], [180.0, 385.0], [86.0, 386.0]], ('QF3MOFSAMFKXA', 0.8934497237205505)]]	{"store_name": "PathiriRestaurant", "store_addr": "119TrafalgarRoad,Greenwich London,londonSE109TX", "telephone": "02088581220", "date": "24-Mar-2017", "time": "18:07:59", "subtotal": "30.20", "tax": "0.00", "total": "\u00a330.20 30.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "43lambBiryani", "item_value": "\u00a315.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenTikka", "item_value": "\u00a36.95", "item_quantity": "1"}, {"item_key": "", "item_name": "58.SaagPaneer", "item_value": "\u00a35.50", "item_quantity": "1"}, {"item_key": "", "item_name": "85.PulavuRice", "item_value": "\u00a32.75", "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	[[[[110.0, 197.0], [284.0, 189.0], [285.0, 214.0], [112.0, 222.0]], ('CIRGLE', 0.7761412262916565)], [[[111.0, 219.0], [330.0, 213.0], [331.0, 238.0], [111.0, 244.0]], ('2790 TAMIAML TPAIL', 0.6088550090789795)], [[[110.0, 243.0], [283.0, 238.0], [284.0, 263.0], [110.0, 268.0]], ('NORTHPT HIERS', 0.709718644618988)], [[[109.0, 268.0], [199.0, 265.0], [200.0, 290.0], [109.0, 293.0]], ('FLORIDA', 0.9469388723373413)], [[[108.0, 292.0], [176.0, 289.0], [177.0, 316.0], [110.0, 319.0]], ('30900', 0.7221296429634094)], [[[111.0, 342.0], [310.0, 336.0], [311.0, 361.0], [111.0, 367.0]], ('2015/09/2316', 0.8759430050849915)], [[[379.0, 333.0], [459.0, 330.0], [460.0, 360.0], [380.0, 363.0]], ('251400', 0.7454526424407959)], [[[109.0, 367.0], [336.0, 362.0], [337.0, 389.0], [109.0, 393.0]], ('Pos0292', 0.71759033203125)], [[[444.0, 404.0], [548.0, 400.0], [549.0, 430.0], [445.0, 434.0]], ('Total 1/', 0.7035577297210693)], [[[110.0, 416.0], [201.0, 416.0], [201.0, 442.0], [110.0, 442.0]], ('Product', 0.8353151679039001)], [[[432.0, 455.0], [515.0, 450.0], [517.0, 480.0], [434.0, 485.0]], ('$11.94', 0.9574103355407715)], [[[111.0, 466.0], [348.0, 459.0], [348.0, 485.0], [111.0, 491.0]], ('MICHUL1127010', 0.7300127744674683)], [[[446.0, 482.0], [515.0, 479.0], [516.0, 506.0], [447.0, 509.0]], ('$2.4', 0.7070116400718689)], [[[109.0, 492.0], [287.0, 486.0], [288.0, 511.0], [110.0, 517.0]], ('69', 0.6466281414031982)], [[[284.0, 534.0], [351.0, 534.0], [351.0, 560.0], [284.0, 560.0]], ('18/99', 0.6125727295875549)], [[[448.0, 526.0], [513.0, 526.0], [513.0, 556.0], [448.0, 556.0]], ('Total', 0.6930156946182251)], [[[120.0, 538.0], [210.0, 535.0], [212.0, 564.0], [121.0, 568.0]], ('S-Total', 0.8609431385993958)], [[[296.0, 558.0], [351.0, 558.0], [351.0, 586.0], [296.0, 586.0]], ('0,57', 0.8451772332191467)], [[[435.0, 554.0], [517.0, 551.0], [518.0, 581.0], [436.0, 583.0]], ('$10.06', 0.8027660846710205)], [[[157.0, 564.0], [214.0, 564.0], [214.0, 591.0], [157.0, 591.0]], ('9.4', 0.8250512480735779)], [[[436.0, 603.0], [518.0, 600.0], [519.0, 630.0], [437.0, 632.0]], ('$11.00', 0.9282098412513733)], [[[108.0, 616.0], [214.0, 612.0], [215.0, 641.0], [109.0, 645.0]], ('Tendered', 0.9559751749038696)], [[[437.0, 630.0], [518.0, 626.0], [519.0, 657.0], [438.0, 661.0]], ('$10.00', 0.8488223552703857)], [[[106.0, 643.0], [164.0, 640.0], [166.0, 668.0], [108.0, 671.0]], ('CASH', 0.9486773014068604)], [[[450.0, 682.0], [520.0, 678.0], [522.0, 708.0], [452.0, 712.0]], ('$0.94', 0.9099918603897095)], [[[106.0, 695.0], [238.0, 690.0], [239.0, 720.0], [107.0, 724.0]], ('Change due', 0.8482155799865723)], [[[106.0, 746.0], [289.0, 739.0], [290.0, 768.0], [107.0, 775.0]], ('Cashter:1234', 0.7958273887634277)], [[[106.0, 774.0], [276.0, 770.0], [276.0, 795.0], [107.0, 799.0]], ('Nane: CASHIER', 0.7447496652603149)], [[[104.0, 801.0], [213.0, 797.0], [214.0, 825.0], [105.0, 829.0]], ('20150923', 0.8178728818893433)], [[[105.0, 855.0], [263.0, 849.0], [264.0, 878.0], [106.0, 884.0]], ('Therk you', 0.827268123626709)]]	{"store_name": "", "store_addr": "FLORIDA 33903", "telephone": "", "date": "2015/09/23", "time": "15:55", "subtotal": "9.49", "tax": "0.57", "total": "", "ignore": " ", "tips": "", "line_items": [{"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	[[[[84.0, 48.0], [261.0, 44.0], [261.0, 58.0], [84.0, 62.0]], ('NOURA BELGRAVIA', 0.9759231805801392)], [[[108.0, 59.0], [226.0, 57.0], [226.0, 71.0], [108.0, 73.0]], ('RESTAURANT', 0.997191309928894)], [[[128.0, 81.0], [217.0, 79.0], [217.0, 93.0], [128.0, 96.0]], ('16HOBART PLACE', 0.9597325325012207)], [[[127.0, 94.0], [219.0, 91.0], [219.0, 105.0], [127.0, 108.0]], ('SW1W OHH LONDON', 0.9119800329208374)], [[[124.0, 106.0], [231.0, 103.0], [231.0, 117.0], [124.0, 120.0]], ('TEL0207235 9444', 0.9669395685195923)], [[[123.0, 118.0], [231.0, 114.0], [231.0, 129.0], [123.0, 132.0]], ('FAX:0207235 9244', 0.9354351162910461)], [[[130.0, 131.0], [221.0, 127.0], [221.0, 140.0], [130.0, 144.0]], ('www.noura.co.uk', 0.9741441011428833)], [[[130.0, 152.0], [227.0, 148.0], [227.0, 163.0], [130.0, 167.0]], ('25December 2017', 0.9634500741958618)], [[[153.0, 172.0], [201.0, 169.0], [202.0, 188.0], [154.0, 190.0]], ('INVOICE', 0.9953784942626953)], [[[54.0, 200.0], [118.0, 199.0], [118.0, 214.0], [55.0, 215.0]], ('Table:101', 0.9416172504425049)], [[[238.0, 194.0], [293.0, 191.0], [294.0, 206.0], [239.0, 209.0]], ('Covers:3', 0.9626297950744629)], [[[56.0, 224.0], [88.0, 224.0], [88.0, 239.0], [56.0, 239.0]], ('ZEINA', 0.9973870515823364)], [[[80.0, 246.0], [179.0, 241.0], [180.0, 255.0], [81.0, 260.0]], ('CHRISTMAS MENU 2', 0.9273397326469421)], [[[245.0, 238.0], [294.0, 235.0], [295.0, 250.0], [246.0, 253.0]], ('13200', 0.9940508008003235)], [[[81.0, 257.0], [150.0, 255.0], [151.0, 269.0], [82.0, 271.0]], ('STILL WATER', 0.9561349749565125)], [[[249.0, 257.0], [298.0, 255.0], [299.0, 277.0], [251.0, 280.0]], ('32,00', 0.8547159433364868)], [[[257.0, 249.0], [295.0, 249.0], [295.0, 264.0], [257.0, 264.0]], ('4,00', 0.8366782665252686)], [[[80.0, 269.0], [209.0, 260.0], [211.0, 277.0], [81.0, 286.0]], ('KSARA BLANC DE BLANCS', 0.9577146172523499)], [[[251.0, 269.0], [298.0, 267.0], [299.0, 286.0], [252.0, 289.0]], ('21,50', 0.8892456293106079)], [[[79.0, 281.0], [186.0, 276.0], [187.0, 290.0], [80.0, 296.0]], ('OPTIONAL GRATUITY', 0.9724705815315247)], [[[55.0, 303.0], [116.0, 300.0], [116.0, 317.0], [56.0, 320.0]], ('TOTAL', 0.9981390237808228)], [[[211.0, 296.0], [310.0, 291.0], [311.0, 308.0], [212.0, 313.0]], ('189,50', 0.9103255867958069)], [[[52.0, 328.0], [239.0, 318.0], [240.0, 333.0], [53.0, 343.0]], ('Included VAT20.00%2800', 0.9193350076675415)], [[[119.0, 373.0], [241.0, 365.0], [242.0, 382.0], [120.0, 390.0]], ('VAT NO.744 4033 51', 0.9279531836509705)], [[[137.0, 410.0], [223.0, 406.0], [224.0, 423.0], [137.0, 427.0]], ('THANK YOU FOR', 0.9331676959991455)], [[[143.0, 424.0], [219.0, 421.0], [219.0, 438.0], [143.0, 441.0]], ('YOUR CUSTOM', 0.9612680673599243)]]	{"store_name": "RESTAURANT NOUNRABELGRAVIA", "store_addr": "SW1WOHHLONDON 16HOBARTPLACE", "telephone": "02072359444", "date": "25December2017", "time": "", "subtotal": "", "tax": "\u00a328,00", "total": "\u00a3189,50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "OPTIONALGRATUITY", "item_value": "\u00a321,50", "item_quantity": "1"}, {"item_key": "", "item_name": "KASARABLANCDEBLANCS", "item_value": "\u00a332,00", "item_quantity": "1"}, {"item_key": "", "item_name": "STILLWATER", "item_value": "\u00a34,00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHRISTMASMENU2", "item_value": "\u00a3132.00", "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	[[[[317.0, 158.0], [429.0, 155.0], [429.0, 169.0], [317.0, 172.0]], ('8/21/20181:49:55PM', 0.9558549523353577)], [[[267.0, 194.0], [391.0, 190.0], [392.0, 207.0], [268.0, 211.0]], ('SUPREME LA', 0.969051718711853)], [[[266.0, 215.0], [396.0, 211.0], [397.0, 225.0], [267.0, 229.0]], ('439N.FAIRFAX AVENUE', 0.9421910643577576)], [[[264.0, 230.0], [399.0, 225.0], [400.0, 239.0], [265.0, 244.0]], ('LOSANGELES.CA 90036', 0.9160968661308289)], [[[285.0, 244.0], [378.0, 241.0], [378.0, 254.0], [285.0, 257.0]], ('PH323 6556205', 0.9443209767341614)], [[[284.0, 259.0], [381.0, 255.0], [381.0, 269.0], [285.0, 273.0]], ('FAX323.8556206', 0.9358583092689514)], [[[221.0, 285.0], [447.0, 275.0], [447.0, 292.0], [222.0, 302.0]], ('Dissent Is The Highest Form Or Patriotism', 0.9292283654212952)], [[[256.0, 300.0], [409.0, 295.0], [410.0, 309.0], [257.0, 314.0]], ('www.supremenewyork.com', 0.9927434325218201)], [[[343.0, 312.0], [394.0, 312.0], [394.0, 326.0], [343.0, 326.0]], ('Receipt#', 0.982249915599823)], [[[423.0, 307.0], [465.0, 305.0], [466.0, 319.0], [424.0, 321.0]], ('104202', 0.9492543339729309)], [[[363.0, 326.0], [397.0, 326.0], [397.0, 340.0], [363.0, 340.0]], ('Store:', 0.9283379912376404)], [[[434.0, 321.0], [468.0, 319.0], [469.0, 334.0], [435.0, 336.0]], ('002A', 0.9793698787689209)], [[[203.0, 333.0], [257.0, 330.0], [258.0, 345.0], [204.0, 348.0]], ('8/21/2018', 0.9853370189666748)], [[[353.0, 340.0], [398.0, 340.0], [398.0, 354.0], [353.0, 354.0]], ('Cashier.', 0.9342707395553589)], [[[451.0, 336.0], [469.0, 336.0], [469.0, 349.0], [451.0, 349.0]], ('vai', 0.9302709698677063)], [[[203.0, 347.0], [260.0, 345.0], [261.0, 359.0], [204.0, 361.0]], ('Assocval', 0.9728246927261353)], [[[216.0, 409.0], [250.0, 409.0], [250.0, 423.0], [216.0, 423.0]], ('ITEM#', 0.9674967527389526)], [[[318.0, 405.0], [342.0, 405.0], [342.0, 420.0], [318.0, 420.0]], ('QTY', 0.9399163126945496)], [[[358.0, 403.0], [394.0, 403.0], [394.0, 417.0], [358.0, 417.0]], ('PRICE', 0.9966214895248413)], [[[409.0, 400.0], [469.0, 398.0], [470.0, 412.0], [410.0, 414.0]], ('EXTPRICE', 0.9876910448074341)], [[[325.0, 425.0], [341.0, 425.0], [341.0, 438.0], [325.0, 438.0]], ('1', 0.6665613055229187)], [[[359.0, 422.0], [393.0, 422.0], [393.0, 437.0], [359.0, 437.0]], ('74.00', 0.951850414276123)], [[[439.0, 418.0], [474.0, 418.0], [474.0, 433.0], [439.0, 433.0]], ('74.00', 0.9843759536743164)], [[[212.0, 428.0], [289.0, 426.0], [289.0, 439.0], [212.0, 441.0]], ('63951 BLACK', 0.9342998266220093)], [[[203.0, 440.0], [288.0, 438.0], [288.0, 451.0], [203.0, 453.0]], ('SHOULDER BAG', 0.9447621703147888)], [[[326.0, 436.0], [343.0, 436.0], [343.0, 449.0], [326.0, 449.0]], ('OS', 0.7594156265258789)], [[[211.0, 459.0], [278.0, 457.0], [278.0, 471.0], [211.0, 473.0]], ('63957RED', 0.9567585587501526)], [[[326.0, 457.0], [343.0, 457.0], [343.0, 470.0], [326.0, 470.0]], ('1', 0.9513528347015381)], [[[361.0, 455.0], [396.0, 455.0], [396.0, 469.0], [361.0, 469.0]], ('88.00', 0.9498343467712402)], [[[441.0, 451.0], [477.0, 451.0], [477.0, 466.0], [441.0, 466.0]], ('0088', 0.9361094832420349)], [[[202.0, 472.0], [264.0, 470.0], [265.0, 484.0], [203.0, 486.0]], ('WAISTBAG', 0.9683672189712524)], [[[325.0, 467.0], [345.0, 467.0], [345.0, 483.0], [325.0, 483.0]], ('OS', 0.6273987293243408)], [[[210.0, 492.0], [316.0, 490.0], [316.0, 504.0], [210.0, 506.0]], ('64251WDLNDCA', 0.9373700022697449)], [[[362.0, 487.0], [397.0, 487.0], [397.0, 502.0], [362.0, 502.0]], ('48.00', 0.9870501756668091)], [[[444.0, 486.0], [480.0, 486.0], [480.0, 500.0], [444.0, 500.0]], ('48.00', 0.9907849431037903)], [[[201.0, 505.0], [346.0, 501.0], [347.0, 515.0], [202.0, 519.0]], ('REFLECTIVE CAMO CANOS', 0.9158718585968018)], [[[324.0, 496.0], [334.0, 488.0], [340.0, 496.0], [330.0, 504.0]], ('1', 0.6209555268287659)], [[[269.0, 529.0], [321.0, 529.0], [321.0, 540.0], [269.0, 540.0]], ('3.Lnts', 0.7261685729026794)], [[[345.0, 525.0], [394.0, 525.0], [394.0, 539.0], [345.0, 539.0]], ('Subtotal', 0.986591100692749)], [[[441.0, 522.0], [484.0, 522.0], [484.0, 537.0], [441.0, 537.0]], ('210.00', 0.9894378781318665)], [[[320.0, 545.0], [396.0, 545.0], [396.0, 559.0], [320.0, 559.0]], ('9.500 % Tax', 0.8873369693756104)], [[[449.0, 542.0], [485.0, 542.0], [485.0, 557.0], [449.0, 557.0]], ('19.95', 0.9218252897262573)], [[[295.0, 564.0], [398.0, 562.0], [399.0, 578.0], [295.0, 580.0]], ('RECEIPT TOTAL:', 0.9565865397453308)], [[[444.0, 562.0], [486.0, 562.0], [486.0, 577.0], [444.0, 577.0]], ('229.85', 0.9301614761352539)], [[[369.0, 597.0], [401.0, 597.0], [401.0, 612.0], [369.0, 612.0]], ('Tend.', 0.8960356712341309)], [[[445.0, 595.0], [488.0, 595.0], [488.0, 610.0], [445.0, 610.0]], ('229.95', 0.9455852508544922)], [[[223.0, 618.0], [375.0, 615.0], [375.0, 631.0], [223.0, 634.0]], ('CrCard22995 MASTER', 0.9071258902549744)], [[[228.0, 640.0], [318.0, 637.0], [319.0, 653.0], [228.0, 656.0]], ('Auth#021122', 0.9744462966918945)], [[[338.0, 658.0], [369.0, 658.0], [369.0, 673.0], [338.0, 673.0]], ('3138', 0.9952662587165833)], [[[306.0, 704.0], [390.0, 706.0], [389.0, 724.0], [306.0, 722.0]], ('Store Policy', 0.958724319934845)], [[[262.0, 733.0], [433.0, 733.0], [433.0, 747.0], [262.0, 747.0]], ('No Retunds Store Credit Only', 0.953794538974762)], [[[251.0, 750.0], [445.0, 749.0], [445.0, 763.0], [251.0, 764.0]], ('Exchanges must be made wtinin 7', 0.9178038835525513)], [[[250.0, 764.0], [444.0, 763.0], [444.0, 780.0], [250.0, 781.0]], ('days and accompanied by origina', 0.9674233794212341)], [[[328.0, 778.0], [370.0, 781.0], [369.0, 796.0], [326.0, 793.0]], ('receipt', 0.9466561675071716)], [[[280.0, 795.0], [423.0, 797.0], [423.0, 811.0], [280.0, 809.0]], ('Sale Items are Final Sale', 0.8969428539276123)], [[[287.0, 824.0], [420.0, 828.0], [419.0, 845.0], [286.0, 841.0]], ('You are being lied to.', 0.932075560092926)]]	{"store_name": "SUPREMELA", "store_addr": "439NFAIRFAXAVENUE LOSANGELESCA90036", "telephone": "PH3236556205", "date": "8/21/2018 8/21/2018", "time": "1:49:55PM", "subtotal": "210.00", "tax": "19.95", "total": "229.95 229.95 229.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SHOULDERBAG", "item_value": "74.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WAISTBAG", "item_value": "88.00", "item_quantity": "1"}, {"item_key": "", "item_name": "REFLECTIVECAMOCAMOS", "item_value": "48.00", "item_quantity": "1"}, {"item_key": "ITEM#QTYPRICEEXTPRICE", "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	[[[[71.0, 61.0], [178.0, 61.0], [178.0, 86.0], [71.0, 86.0]], ('LOCAL', 0.9496921300888062)], [[[52.0, 91.0], [196.0, 90.0], [196.0, 100.0], [52.0, 101.0]], ('The Local Kitchen sEeprosso Bar', 0.7904404401779175)], [[[42.0, 111.0], [205.0, 109.0], [205.0, 120.0], [43.0, 121.0]], ('s90/[email protected]', 0.7013205885887146)], [[[57.0, 102.0], [191.0, 102.0], [191.0, 109.0], [57.0, 109.0]], ('Aiue sA Str Lrussol. Cypng', 0.5703510642051697)], [[[83.0, 121.0], [164.0, 119.0], [164.0, 131.0], [83.0, 132.0]], ('Vat Reg 102866693', 0.8801862001419067)], [[[82.0, 131.0], [164.0, 128.0], [164.0, 142.0], [82.0, 144.0]], ('Reccip181032', 0.9617711901664734)], [[[39.0, 159.0], [65.0, 159.0], [65.0, 170.0], [39.0, 170.0]], ('Order', 0.9851988554000854)], [[[76.0, 160.0], [140.0, 160.0], [140.0, 171.0], [76.0, 171.0]], ('05/11/2018', 0.9945365786552429)], [[[168.0, 158.0], [196.0, 158.0], [196.0, 169.0], [168.0, 169.0]], ('Dinein', 0.920039713382721)], [[[42.0, 172.0], [60.0, 172.0], [60.0, 184.0], [42.0, 184.0]], ('32', 0.9989702701568604)], [[[154.0, 168.0], [206.0, 166.0], [207.0, 180.0], [155.0, 182.0]], ('Table:4', 0.9471907019615173)], [[[26.0, 185.0], [45.0, 185.0], [45.0, 196.0], [26.0, 196.0]], ('Qty', 0.7851008772850037)], [[[79.0, 184.0], [101.0, 184.0], [101.0, 195.0], [79.0, 195.0]], ('Item', 0.9510946869850159)], [[[127.0, 183.0], [175.0, 183.0], [175.0, 194.0], [127.0, 194.0]], ('VAT@', 0.8866339921951294)], [[[187.0, 182.0], [211.0, 182.0], [211.0, 193.0], [187.0, 193.0]], ('Total', 0.9336496591567993)], [[[38.0, 200.0], [112.0, 199.0], [112.0, 210.0], [39.0, 211.0]], ('Local Sad Extra', 0.865944504737854)], [[[128.0, 197.0], [220.0, 196.0], [220.0, 210.0], [129.0, 211.0]], ('9%12012.00', 0.9282733201980591)], [[[157.0, 208.0], [175.0, 208.0], [175.0, 219.0], [157.0, 219.0]], ('0', 0.6940495371818542)], [[[22.0, 221.0], [75.0, 222.0], [75.0, 233.0], [22.0, 232.0]], ('1mousaka', 0.9471747279167175)], [[[131.0, 219.0], [223.0, 219.0], [223.0, 233.0], [131.0, 233.0]], ('9%12012.00', 0.9248231649398804)], [[[165.0, 227.0], [177.0, 233.0], [172.0, 243.0], [160.0, 237.0]], ('0', 0.5362710356712341)], [[[18.0, 259.0], [40.0, 259.0], [40.0, 271.0], [18.0, 271.0]], ('9%', 0.9605820178985596)], [[[37.0, 259.0], [79.0, 259.0], [79.0, 270.0], [37.0, 270.0]], ('1.98', 0.9788397550582886)], [[[111.0, 258.0], [158.0, 258.0], [158.0, 272.0], [111.0, 272.0]], ('Amount', 0.9978066086769104)], [[[183.0, 259.0], [228.0, 259.0], [228.0, 273.0], [183.0, 273.0]], ('24.00', 0.9910922050476074)], [[[36.0, 293.0], [85.0, 293.0], [85.0, 304.0], [36.0, 304.0]], ('TotalV.A.T', 0.8501818776130676)], [[[122.0, 295.0], [159.0, 295.0], [159.0, 310.0], [122.0, 310.0]], ('Total:', 0.9828798174858093)], [[[185.0, 295.0], [232.0, 295.0], [232.0, 310.0], [185.0, 310.0]], ('24.00', 0.993678092956543)], [[[36.0, 306.0], [66.0, 306.0], [66.0, 320.0], [36.0, 320.0]], ('1.98', 0.9864808320999146)], [[[15.0, 329.0], [107.0, 329.0], [107.0, 340.0], [15.0, 340.0]], ('OrderTime:20:34', 0.936266303062439)], [[[130.0, 327.0], [230.0, 327.0], [230.0, 341.0], [130.0, 341.0]], ('Check Time:21:23', 0.9257457256317139)], [[[12.0, 356.0], [39.0, 359.0], [37.0, 375.0], [10.0, 372.0]], ('Tel:', 0.8912084698677063)], [[[12.0, 377.0], [53.0, 380.0], [52.0, 395.0], [12.0, 392.0]], ('Notes', 0.9949882626533508)]]	{"store_name": "LOCAL", "store_addr": "", "telephone": "", "date": "05/11/2018", "time": "21:23", "subtotal": "\u20ac24.00", "tax": "\u20ac1.98 \u20ac1.98", "total": "\u20ac24.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LocalSaladExtra", "item_value": "\u20ac12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "mousaka", "item_value": "\u20ac12.00", "item_quantity": "1"}, {"item_key": "Item", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[143.0, 0.0], [755.0, 22.0], [753.0, 61.0], [141.0, 33.0]], ('Your Cashier today was Beth ', 0.8873509168624878)], [[[140.0, 93.0], [489.0, 114.0], [487.0, 157.0], [138.0, 137.0]], ('IQF Leg Quarters', 0.9694414138793945)], [[[814.0, 129.0], [901.0, 133.0], [899.0, 173.0], [812.0, 169.0]], ('3.99', 0.9965093731880188)], [[[921.0, 138.0], [967.0, 138.0], [967.0, 175.0], [921.0, 175.0]], ('FA', 0.9965847730636597)], [[[136.0, 148.0], [340.0, 159.0], [338.0, 202.0], [134.0, 191.0]], ('Skim Mi1k', 0.8960098624229431)], [[[813.0, 181.0], [901.0, 184.0], [899.0, 223.0], [811.0, 220.0]], ('2.15', 0.9768421649932861)], [[[919.0, 187.0], [969.0, 187.0], [969.0, 227.0], [919.0, 227.0]], ('FA', 0.9970508813858032)], [[[138.0, 205.0], [510.0, 221.0], [509.0, 262.0], [136.0, 246.0]], ('Whole Kernel Corn', 0.931135892868042)], [[[808.0, 230.0], [970.0, 235.0], [969.0, 280.0], [807.0, 275.0]], ('0.49 FA', 0.9213904142379761)], [[[137.0, 259.0], [340.0, 266.0], [338.0, 311.0], [135.0, 304.0]], ('Banana WE', 0.9530264735221863)], [[[810.0, 280.0], [968.0, 285.0], [966.0, 331.0], [808.0, 326.0]], ('1.25FA', 0.9839725494384766)], [[[315.0, 321.0], [491.0, 326.0], [490.0, 366.0], [314.0, 361.0]], ('2.851bx', 0.9385067224502563)], [[[545.0, 327.0], [689.0, 331.0], [688.0, 373.0], [544.0, 369.0]], ('0.44/1b', 0.9824271202087402)], [[[139.0, 371.0], [382.0, 377.0], [381.0, 416.0], [138.0, 410.0]], ('White Bread', 0.9634729027748108)], [[[803.0, 384.0], [885.0, 384.0], [885.0, 423.0], [803.0, 423.0]], ('0.85', 0.9949497580528259)], [[[916.0, 387.0], [959.0, 387.0], [959.0, 425.0], [916.0, 425.0]], ('FA', 0.9979751706123352)], [[[138.0, 427.0], [402.0, 430.0], [402.0, 469.0], [137.0, 466.0]], ('Penne Rigate', 0.9553466439247131)], [[[801.0, 434.0], [892.0, 434.0], [892.0, 473.0], [801.0, 473.0]], ('0.99', 0.9902799129486084)], [[[914.0, 437.0], [958.0, 437.0], [958.0, 473.0], [914.0, 473.0]], ('FA', 0.9977561235427856)], [[[141.0, 482.0], [503.0, 482.0], [503.0, 522.0], [141.0, 522.0]], ('Creamy Peanut Btr', 0.9540325403213501)], [[[804.0, 485.0], [886.0, 485.0], [886.0, 522.0], [804.0, 522.0]], ('1.49', 0.9940182566642761)], [[[916.0, 485.0], [960.0, 485.0], [960.0, 523.0], [916.0, 523.0]], ('FA', 0.9971660375595093)], [[[137.0, 535.0], [382.0, 532.0], [382.0, 576.0], [138.0, 578.0]], ('Grape Jelly', 0.9234712719917297)], [[[804.0, 534.0], [885.0, 534.0], [885.0, 571.0], [804.0, 571.0]], ('1.49', 0.875835657119751)], [[[918.0, 534.0], [963.0, 534.0], [963.0, 572.0], [918.0, 572.0]], ('FA', 0.9983929991722107)], [[[138.0, 590.0], [464.0, 584.0], [464.0, 625.0], [139.0, 631.0]], ('Pink Lady Apple', 0.937115490436554)], [[[801.0, 582.0], [885.0, 582.0], [885.0, 622.0], [801.0, 622.0]], ('2.49', 0.9927505254745483)], [[[923.0, 583.0], [966.0, 583.0], [966.0, 622.0], [923.0, 622.0]], ('FA', 0.9984673261642456)], [[[804.0, 633.0], [889.0, 633.0], [889.0, 672.0], [804.0, 672.0]], ('1.29', 0.995000422000885)], [[[925.0, 633.0], [967.0, 633.0], [967.0, 672.0], [925.0, 672.0]], ('FA', 0.998367190361023)], [[[142.0, 647.0], [462.0, 638.0], [463.0, 674.0], [143.0, 683.0]], ('Graham Crackers', 0.9739355444908142)], [[[804.0, 683.0], [891.0, 683.0], [891.0, 722.0], [804.0, 722.0]], ('0.99', 0.9970320463180542)], [[[928.0, 685.0], [972.0, 685.0], [972.0, 723.0], [928.0, 723.0]], ('FA', 0.9981590509414673)], [[[140.0, 700.0], [482.0, 686.0], [484.0, 726.0], [142.0, 740.0]], ('Country Inn Rice', 0.9551745057106018)], [[[805.0, 734.0], [893.0, 734.0], [893.0, 773.0], [805.0, 773.0]], ('0.49', 0.9900369048118591)], [[[931.0, 735.0], [974.0, 735.0], [974.0, 774.0], [931.0, 774.0]], ('FA', 0.998737633228302)], [[[140.0, 754.0], [462.0, 739.0], [464.0, 778.0], [142.0, 793.0]], ('Cut Green Beans', 0.9517391324043274)], [[[808.0, 783.0], [897.0, 785.0], [896.0, 826.0], [807.0, 823.0]], ('0.99', 0.9973816275596619)], [[[934.0, 786.0], [976.0, 786.0], [976.0, 826.0], [934.0, 826.0]], ('FA', 0.9986665844917297)], [[[139.0, 808.0], [483.0, 789.0], [485.0, 828.0], [141.0, 848.0]], ('24 oz Trad Sauce', 0.9235130548477173)], [[[815.0, 836.0], [904.0, 839.0], [903.0, 879.0], [814.0, 876.0]], ('1.85', 0.895267903804779)], [[[932.0, 837.0], [980.0, 837.0], [980.0, 878.0], [932.0, 878.0]], ('FA', 0.9978079199790955)], [[[139.0, 863.0], [358.0, 849.0], [360.0, 894.0], [142.0, 907.0]], ('Large Eggs', 0.9724513292312622)], [[[521.0, 886.0], [628.0, 886.0], [628.0, 929.0], [521.0, 929.0]], ('20.80', 0.9961413145065308)], [[[181.0, 917.0], [358.0, 899.0], [363.0, 941.0], [186.0, 959.0]], ('Purchase', 0.9972121119499207)], [[[773.0, 942.0], [945.0, 945.0], [944.0, 987.0], [772.0, 983.0]], ('PIN Used', 0.965064287185669)], [[[748.0, 987.0], [1019.0, 987.0], [1019.0, 1012.0], [748.0, 1012.0]], ('simplysavemn.com', 0.9952584505081177)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "$20.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LargeEggs", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "24ozTradSauce", "item_value": "2.15", "item_quantity": "1"}, {"item_key": "", "item_name": "CutGreenBeans", "item_value": "0.49", "item_quantity": "1"}, {"item_key": "", "item_name": "CountryInnRice", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "GrahamCrackers", "item_value": "0.85", "item_quantity": "1"}, {"item_key": "", "item_name": "PinkLadyApple", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GrapeJelly", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "CreamyPeanutBtr", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "PenneRigate", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "WhiteBread", "item_value": "1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "BananaWE", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "WholekernelCorn", "item_value": "0.49", "item_quantity": "1"}, {"item_key": "", "item_name": "SkimMilk", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "IQFLegQuarters", "item_value": "1.85", "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, 42.0], [254.0, 34.0], [256.0, 59.0], [126.0, 67.0]], ('OTARGET', 0.9871227145195007)], [[[158.0, 60.0], [253.0, 59.0], [253.0, 69.0], [158.0, 70.0]], ('EXPECT MOREPAY LESS:', 0.8823040723800659)], [[[97.0, 83.0], [277.0, 80.0], [277.0, 94.0], [97.0, 97.0]], ('WEST HOLLYW00D-323-603-0004', 0.9162838459014893)], [[[79.0, 95.0], [305.0, 90.0], [305.0, 103.0], [79.0, 109.0]], ('01/25/2014 10:36 AMEXPIRES04/25/14', 0.9376462697982788)], [[[54.0, 148.0], [106.0, 148.0], [106.0, 162.0], [54.0, 162.0]], ('CLOTHING', 0.9972048997879028)], [[[51.0, 161.0], [109.0, 158.0], [110.0, 172.0], [51.0, 174.0]], ('214075751', 0.9974549412727356)], [[[146.0, 158.0], [221.0, 158.0], [221.0, 169.0], [146.0, 169.0]], ('C9 ACTIVEWEA', 0.9363475441932678)], [[[242.0, 155.0], [307.0, 155.0], [307.0, 169.0], [242.0, 169.0]], ('T$14.99', 0.9863288998603821)], [[[143.0, 168.0], [297.0, 166.0], [297.0, 180.0], [143.0, 182.0]], ('Cartwheel 25% off $19.99', 0.913168728351593)], [[[52.0, 191.0], [103.0, 191.0], [103.0, 205.0], [52.0, 205.0]], ('GROCERY', 0.9862719774246216)], [[[51.0, 203.0], [109.0, 201.0], [110.0, 215.0], [51.0, 217.0]], ('284101383', 0.9973477125167847)], [[[143.0, 200.0], [179.0, 200.0], [179.0, 214.0], [143.0, 214.0]], ('NOOSA', 0.9953687787055969)], [[[235.0, 199.0], [253.0, 199.0], [253.0, 213.0], [235.0, 213.0]], ('FN', 0.9844253063201904)], [[[274.0, 198.0], [310.0, 198.0], [310.0, 213.0], [274.0, 213.0]], ('$4.78', 0.9946718215942383)], [[[143.0, 211.0], [222.0, 211.0], [222.0, 225.0], [143.0, 225.0]], ('2$2.39 ea', 0.9606203436851501)], [[[51.0, 224.0], [109.0, 224.0], [109.0, 238.0], [51.0, 238.0]], ('284101594', 0.9975808262825012)], [[[144.0, 224.0], [184.0, 224.0], [184.0, 235.0], [144.0, 235.0]], ('DANNON', 0.9976642727851868)], [[[236.0, 221.0], [254.0, 221.0], [254.0, 234.0], [236.0, 234.0]], ('FN', 0.9876894950866699)], [[[275.0, 220.0], [311.0, 220.0], [311.0, 235.0], [275.0, 235.0]], ('$2.00', 0.9963381886482239)], [[[142.0, 233.0], [222.0, 232.0], [222.0, 247.0], [142.0, 248.0]], ('20$1.00 ea', 0.9402835965156555)], [[[49.0, 258.0], [197.0, 255.0], [197.0, 269.0], [49.0, 272.0]], ('HEALTH-BEAUTY-COSMETICS', 0.989532470703125)], [[[48.0, 271.0], [108.0, 269.0], [109.0, 283.0], [48.0, 285.0]], ('052021284', 0.995168924331665)], [[[139.0, 268.0], [217.0, 266.0], [218.0, 281.0], [140.0, 283.0]], ('NAIL POLISH', 0.9588226079940796)], [[[242.0, 266.0], [255.0, 266.0], [255.0, 279.0], [242.0, 279.0]], ('T', 0.7320006489753723)], [[[276.0, 266.0], [314.0, 266.0], [314.0, 280.0], [276.0, 280.0]], ('$4.49', 0.9925543665885925)], [[[142.0, 280.0], [294.0, 278.0], [294.0, 292.0], [142.0, 294.0]], ('Cartwheel 10% off $4.99', 0.9119764566421509)], [[[201.0, 303.0], [252.0, 303.0], [252.0, 314.0], [201.0, 314.0]], ('SUBTOTAL', 0.990990400314331)], [[[271.0, 303.0], [314.0, 303.0], [314.0, 317.0], [271.0, 317.0]], ('$26.26', 0.9939219951629639)], [[[142.0, 316.0], [253.0, 316.0], [253.0, 329.0], [142.0, 329.0]], ('PAPER BAG FEE 1', 0.9243482947349548)], [[[276.0, 315.0], [315.0, 315.0], [315.0, 330.0], [276.0, 330.0]], ('$0.10', 0.9950330853462219)], [[[59.0, 328.0], [255.0, 328.0], [255.0, 342.0], [59.0, 342.0]], ('T=CA TAX 9.0000% on$19.48', 0.9082568287849426)], [[[276.0, 327.0], [315.0, 327.0], [315.0, 342.0], [276.0, 342.0]], ('$1.75', 0.9701428413391113)], [[[219.0, 341.0], [254.0, 341.0], [254.0, 352.0], [219.0, 352.0]], ('TOTAL', 0.996611475944519)], [[[272.0, 339.0], [315.0, 339.0], [315.0, 353.0], [272.0, 353.0]], ('$28.11', 0.9176652431488037)], [[[143.0, 363.0], [255.0, 363.0], [255.0, 377.0], [143.0, 377.0]], ('0097 VISA CHARGE', 0.9335851669311523)], [[[273.0, 363.0], [316.0, 363.0], [316.0, 377.0], [273.0, 377.0]], ('$28.11', 0.9955018162727356)], [[[102.0, 389.0], [269.0, 389.0], [269.0, 403.0], [102.0, 403.0]], ('Fee may not be refundable', 0.940870463848114)], [[[61.0, 415.0], [164.0, 415.0], [164.0, 429.0], [61.0, 429.0]], ('Target Pharmacy', 0.9754740595817566)], [[[177.0, 414.0], [309.0, 415.0], [309.0, 429.0], [177.0, 428.0]], ("We're here to help!", 0.9163673520088196)], [[[140.0, 428.0], [229.0, 428.0], [229.0, 442.0], [140.0, 442.0]], ('9am-9pmM-F', 0.9377351999282837)], [[[138.0, 438.0], [231.0, 441.0], [231.0, 458.0], [137.0, 455.0]], ('9am-6pm Sat', 0.9457622766494751)], [[[137.0, 452.0], [231.0, 454.0], [231.0, 471.0], [136.0, 469.0]], ('uns udg-en', 0.7030446529388428)]]	{"store_name": "TARGET", "store_addr": "WESTHOLLYWOOD-", "telephone": "323-603-0004", "date": "01/25/2014", "time": "10:36AM", "subtotal": "$26.26", "tax": "$1.75", "total": "$28.11 $28.11", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NAILPOLISH", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DANNON", "item_value": "$2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NOOSA", "item_value": "$4.78", "item_quantity": "1"}, {"item_key": "", "item_name": "C9ACTIVEWEAT", "item_value": "$14.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[631.0, 4.0], [904.0, 19.0], [903.0, 44.0], [630.0, 30.0]], ("Nando's Chrckaniend aleyi", 0.7183603644371033)], [[[667.0, 27.0], [868.0, 35.0], [867.0, 61.0], [666.0, 52.0]], ('SnBnd.451564-', 0.9037600755691528)], [[[670.0, 48.0], [874.0, 58.0], [873.0, 79.0], [669.0, 69.0]], ("hando' 10l City s", 0.7437782883644104)], [[[706.0, 71.0], [846.0, 76.0], [845.0, 97.0], [705.0, 92.0]], ('G-53L6-55', 0.7612119913101196)], [[[646.0, 87.0], [877.0, 97.0], [876.0, 122.0], [645.0, 113.0]], ('LG Floor.I0l City Me', 0.6980226039886475)], [[[599.0, 108.0], [934.0, 122.0], [934.0, 143.0], [598.0, 129.0]], ('101 Resort City.B2502 Senen Utar', 0.7254678010940552)], [[[607.0, 131.0], [928.0, 142.0], [928.0, 163.0], [606.0, 152.0]], ('Te1:03-83280789 Fa:03-383280790', 0.8659625053405762)], [[[668.0, 154.0], [859.0, 160.0], [858.0, 181.0], [668.0, 175.0]], ('GST ID:000087492992', 0.8783069252967834)], [[[563.0, 172.0], [662.0, 175.0], [661.0, 196.0], [562.0, 193.0]], ('3NANDOS2', 0.9240582585334778)], [[[865.0, 182.0], [969.0, 182.0], [969.0, 208.0], [865.0, 208.0]], ('205SHAQIR', 0.9038408994674683)], [[[563.0, 215.0], [650.0, 219.0], [649.0, 240.0], [562.0, 236.0]], ('Chk5591', 0.9827045798301697)], [[[902.0, 223.0], [968.0, 226.0], [966.0, 251.0], [901.0, 247.0]], ('Buests', 0.7715932726860046)], [[[563.0, 236.0], [751.0, 241.0], [750.0, 267.0], [562.0, 262.0]], ('17 May 15 15:17:28', 0.8816025257110596)], [[[875.0, 242.0], [969.0, 248.0], [968.0, 273.0], [873.0, 268.0]], ('TBL20/', 0.8467252850532532)], [[[602.0, 282.0], [752.0, 287.0], [752.0, 312.0], [601.0, 307.0]], ('Full.Piatter-E', 0.9105377197265625)], [[[872.0, 286.0], [953.0, 290.0], [951.0, 317.0], [871.0, 313.0]], ('55.00.S', 0.8455795049667358)], [[[613.0, 307.0], [799.0, 312.0], [798.0, 333.0], [612.0, 328.0]], ('FulPlatterR)Side', 0.8834215998649597)], [[[626.0, 330.0], [692.0, 330.0], [692.0, 353.0], [626.0, 353.0]], ('1/2-LH', 0.9763228297233582)], [[[626.0, 354.0], [690.0, 354.0], [690.0, 375.0], [626.0, 375.0]], ('1/2-LH', 0.8694943785667419)], [[[623.0, 375.0], [770.0, 377.0], [770.0, 400.0], [623.0, 398.0]], ('CoeswR)-EC', 0.8649972081184387)], [[[623.0, 398.0], [751.0, 401.0], [750.0, 424.0], [623.0, 420.0]], ('Corn(R)KV-EC', 0.8260642886161804)], [[[623.0, 424.0], [751.0, 424.0], [751.0, 445.0], [623.0, 445.0]], ('Carn(R)KV-EC', 0.8532819151878357)], [[[620.0, 443.0], [772.0, 446.0], [771.0, 472.0], [620.0, 469.0]], ('ModRceR)-EC', 0.8576631546020508)], [[[602.0, 473.0], [695.0, 475.0], [695.0, 492.0], [602.0, 490.0]], ('ALERNO', 0.5969045758247375)], [[[611.0, 493.0], [734.0, 493.0], [734.0, 514.0], [611.0, 514.0]], ('INSTRUCTION', 0.9804049134254456)], [[[597.0, 516.0], [752.0, 516.0], [752.0, 541.0], [597.0, 541.0]], ('CA CUSTOMER', 0.8508163094520569)], [[[609.0, 543.0], [730.0, 543.0], [730.0, 564.0], [609.0, 564.0]], ('INSTALCTION', 0.9722487926483154)], [[[883.0, 588.0], [943.0, 588.0], [943.0, 615.0], [883.0, 615.0]], ('55.00', 0.9849182367324829)], [[[580.0, 615.0], [738.0, 613.0], [739.0, 641.0], [581.0, 642.0]], ('Serv Chrg l0x', 0.8398450613021851)], [[[888.0, 612.0], [943.0, 608.0], [945.0, 639.0], [891.0, 643.0]], ('5.50', 0.9839516878128052)], [[[581.0, 642.0], [665.0, 642.0], [665.0, 669.0], [581.0, 669.0]], ('GST', 0.929398238658905)], [[[895.0, 639.0], [945.0, 639.0], [945.0, 665.0], [895.0, 665.0]], ('3.63', 0.9661555886268616)], [[[582.0, 671.0], [651.0, 671.0], [651.0, 693.0], [582.0, 693.0]], ('Total:', 0.9547716975212097)], [[[887.0, 665.0], [945.0, 665.0], [945.0, 687.0], [887.0, 687.0]], ('64.13', 0.9491230845451355)], [[[579.0, 695.0], [716.0, 695.0], [716.0, 721.0], [579.0, 721.0]], ('Rounding Adj', 0.9669077396392822)], [[[893.0, 689.0], [948.0, 689.0], [948.0, 718.0], [893.0, 718.0]], ('0.02', 0.7263303995132446)], [[[576.0, 724.0], [739.0, 720.0], [740.0, 764.0], [577.0, 768.0]], ('Amt Due', 0.9689957499504089)], [[[819.0, 717.0], [938.0, 711.0], [941.0, 759.0], [821.0, 765.0]], ('64.15', 0.9917548298835754)], [[[611.0, 790.0], [916.0, 785.0], [916.0, 812.0], [611.0, 817.0]], ('Far Taks Away and Dalivary', 0.8426666855812073)]]	{"store_name": "", "store_addr": "", "telephone": ":03-83280789", "date": "17May15", "time": "15:17:28", "subtotal": "55.00", "tax": "3.63", "total": "64.15", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "INSTRUCTION", "item_value": "55.00", "item_quantity": "1"}, {"item_key": "", "item_name": "INSTRUCTION", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Corn(R)KV-EC", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Corn(R)KV-EC", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Coleslaw(R)-EC", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1/2-LH", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1/2-LH", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FullPlatter-E", "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, 41.0], [232.0, 40.0], [232.0, 54.0], [98.0, 55.0]], ('Restaurant and Gift Shop', 0.9404581189155579)], [[[128.0, 34.0], [201.0, 34.0], [201.0, 44.0], [128.0, 44.0]], ('The Ivy House', 0.8034558892250061)], [[[104.0, 52.0], [220.0, 52.0], [220.0, 65.0], [104.0, 65.0]], ('106 N.W.Main Street', 0.9014248251914978)], [[[94.0, 63.0], [232.0, 61.0], [232.0, 75.0], [94.0, 77.0]], ('WiistonFlor1da 32696', 0.9034817814826965)], [[[120.0, 76.0], [206.0, 73.0], [206.0, 86.0], [121.0, 90.0]], ('352528-5410', 0.9864324927330017)], [[[110.0, 90.0], [214.0, 86.0], [215.0, 99.0], [110.0, 103.0]], ('w.lvyhousef1.com', 0.8740684986114502)], [[[40.0, 114.0], [220.0, 111.0], [220.0, 128.0], [40.0, 130.0]], ('Date08/20/17Iie0225 pm', 0.8845220804214478)], [[[38.0, 129.0], [113.0, 129.0], [113.0, 152.0], [38.0, 152.0]], ('Order177', 0.9620493650436401)], [[[37.0, 165.0], [124.0, 165.0], [124.0, 179.0], [37.0, 179.0]], ('Server:Micala', 0.9421454668045044)], [[[35.0, 180.0], [91.0, 178.0], [91.0, 192.0], [36.0, 194.0]], ('Guest:1', 0.8925432562828064)], [[[36.0, 193.0], [104.0, 193.0], [104.0, 207.0], [36.0, 207.0]], ('TableP6', 0.9792811274528503)], [[[34.0, 208.0], [70.0, 208.0], [70.0, 222.0], [34.0, 222.0]], ('Name:', 0.9561387896537781)], [[[34.0, 222.0], [75.0, 222.0], [75.0, 236.0], [34.0, 236.0]], ('DINING', 0.9969102740287781)], [[[34.0, 254.0], [48.0, 254.0], [48.0, 264.0], [34.0, 264.0]], ('1', 0.8631446957588196)], [[[48.0, 251.0], [165.0, 249.0], [165.0, 263.0], [48.0, 265.0]], ('FRIED GREEN TOMATO', 0.9482176303863525)], [[[249.0, 248.0], [285.0, 248.0], [285.0, 263.0], [249.0, 263.0]], ('$8.00', 0.9955029487609863)], [[[31.0, 266.0], [141.0, 265.0], [141.0, 279.0], [31.0, 280.0]], ('1CRISPY CHICKEN', 0.9609326720237732)], [[[245.0, 264.0], [286.0, 264.0], [286.0, 278.0], [245.0, 278.0]], ('$13.00', 0.9959604144096375)], [[[48.0, 281.0], [184.0, 281.0], [184.0, 295.0], [48.0, 295.0]], ('FRIED SHRIMP SANDWICH', 0.9575748443603516)], [[[246.0, 279.0], [288.0, 279.0], [288.0, 294.0], [246.0, 294.0]], ('$10.00', 0.9911746978759766)], [[[48.0, 297.0], [140.0, 297.0], [140.0, 311.0], [48.0, 311.0]], ('CRISPY CHICKEN', 0.9720114469528198)], [[[248.0, 295.0], [290.0, 295.0], [290.0, 310.0], [248.0, 310.0]], ('$13.00', 0.9949867129325867)], [[[44.0, 313.0], [107.0, 310.0], [107.0, 327.0], [44.0, 330.0]], ('SWEET TEA', 0.9646628499031067)], [[[256.0, 312.0], [292.0, 312.0], [292.0, 327.0], [256.0, 327.0]], ('$2.00', 0.9856791496276855)], [[[27.0, 333.0], [34.0, 333.0], [34.0, 344.0], [27.0, 344.0]], ('1', 0.7520204782485962)], [[[43.0, 330.0], [125.0, 330.0], [125.0, 345.0], [43.0, 345.0]], ('UN-SWEET TEA', 0.9604291915893555)], [[[257.0, 329.0], [294.0, 329.0], [294.0, 345.0], [257.0, 345.0]], ('$2.00', 0.9981672167778015)], [[[43.0, 348.0], [164.0, 348.0], [164.0, 362.0], [43.0, 362.0]], ('RASPBERRY LEMONADE', 0.9781859517097473)], [[[258.0, 346.0], [297.0, 346.0], [297.0, 364.0], [258.0, 364.0]], ('$2.50', 0.9961894750595093)], [[[20.0, 382.0], [90.0, 382.0], [90.0, 399.0], [20.0, 399.0]], ('Sub-total:', 0.9569961428642273)], [[[254.0, 382.0], [300.0, 382.0], [300.0, 400.0], [254.0, 400.0]], ('$50.50', 0.9931738972663879)], [[[20.0, 401.0], [50.0, 401.0], [50.0, 416.0], [20.0, 416.0]], ('Tax:', 0.9722197651863098)], [[[261.0, 400.0], [301.0, 400.0], [301.0, 418.0], [261.0, 418.0]], ('$3.54', 0.9950748682022095)], [[[18.0, 418.0], [131.0, 420.0], [131.0, 448.0], [17.0, 446.0]], ('Pay This Amount', 0.9653880596160889)], [[[255.0, 418.0], [303.0, 418.0], [303.0, 449.0], [255.0, 449.0]], ('$54.04', 0.9865434765815735)]]	{"store_name": "TheTvyHouse RestaurantandGiftShop", "store_addr": "106N.W.MainStreet Williston,Florida32696", "telephone": "(352)528-5410", "date": "08/20/17", "time": "02:25pm", "subtotal": "$50.50", "tax": "$3.54", "total": "$54.04", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FRIEDGREENTOMATO", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CRISPYCHICKEN", "item_value": "$13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FRIEDSHRIMPSANDWICH", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CRISPYCHICKEN", "item_value": "$13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SWEETTEA", "item_value": "$2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "UN-SWEETTEA", "item_value": "$2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RASPBERRYLEMONADE", "item_value": "$2.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[336.0, 65.0], [670.0, 63.0], [670.0, 95.0], [337.0, 97.0]], ('WINDY CITY HARLEY-DAVIDSON', 0.9657358527183533)], [[[392.0, 102.0], [614.0, 107.0], [613.0, 129.0], [392.0, 125.0]], ("O'Hare International Airport", 0.9642966985702515)], [[[455.0, 132.0], [549.0, 132.0], [549.0, 151.0], [455.0, 151.0]], ('Chicago,IL', 0.9089654684066772)], [[[442.0, 155.0], [562.0, 159.0], [561.0, 180.0], [441.0, 177.0]], ('773.686.4886', 0.9909042716026306)], [[[449.0, 183.0], [554.0, 185.0], [554.0, 205.0], [449.0, 202.0]], ('HDMC2127', 0.9911385774612427)], [[[259.0, 222.0], [338.0, 222.0], [338.0, 240.0], [259.0, 240.0]], ('Ref SO#', 0.9023173451423645)], [[[580.0, 223.0], [736.0, 192.0], [741.0, 221.0], [585.0, 252.0]], ('Receipt#34851', 0.975445032119751)], [[[258.0, 247.0], [443.0, 247.0], [443.0, 265.0], [258.0, 265.0]], ('9/6/20172.59:56PM', 0.9723897576332092)], [[[642.0, 241.0], [740.0, 220.0], [745.0, 243.0], [646.0, 264.0]], ('Store:007', 0.9635545015335083)], [[[257.0, 274.0], [426.0, 269.0], [426.0, 289.0], [258.0, 293.0]], ('Assoc:SSANTIAG', 0.8522822260856628)], [[[558.0, 272.0], [747.0, 247.0], [750.0, 273.0], [561.0, 297.0]], ('Cashier SSANTIAG', 0.9530596137046814)], [[[273.0, 372.0], [530.0, 371.0], [530.0, 392.0], [273.0, 393.0]], ('Bill To.MILITARY MILITARY', 0.8912520408630371)], [[[244.0, 452.0], [300.0, 452.0], [300.0, 474.0], [244.0, 474.0]], ('ITEM#', 0.9968901872634888)], [[[451.0, 452.0], [491.0, 452.0], [491.0, 472.0], [451.0, 472.0]], ('QTY', 0.9962709546089172)], [[[524.0, 451.0], [581.0, 451.0], [581.0, 473.0], [524.0, 473.0]], ('PRICE', 0.9973797798156738)], [[[613.0, 446.0], [716.0, 438.0], [717.0, 461.0], [615.0, 468.0]], ('EXTPRICE', 0.9921156167984009)], [[[240.0, 488.0], [328.0, 486.0], [328.0, 507.0], [241.0, 509.0]], ('WCCHIF', 0.9853265881538391)], [[[398.0, 488.0], [434.0, 488.0], [434.0, 507.0], [398.0, 507.0]], ('N/A', 0.951873779296875)], [[[462.0, 489.0], [477.0, 489.0], [477.0, 506.0], [462.0, 506.0]], ('5', 0.9951564073562622)], [[[539.0, 487.0], [581.0, 487.0], [581.0, 507.0], [539.0, 507.0]], ('4.00', 0.9957262873649597)], [[[662.0, 480.0], [723.0, 477.0], [724.0, 500.0], [663.0, 503.0]], ('20.00', 0.9960716366767883)], [[[244.0, 513.0], [506.0, 513.0], [506.0, 532.0], [244.0, 532.0]], ('WC POKER CHIP AL CAPONE', 0.9206249117851257)], [[[544.0, 510.0], [631.0, 506.0], [632.0, 524.0], [545.0, 529.0]], ('Disc1919', 0.9738911986351013)], [[[356.0, 546.0], [445.0, 549.0], [444.0, 571.0], [355.0, 569.0]], ('5 Unit(s)', 0.861284613609314)], [[[522.0, 547.0], [605.0, 547.0], [605.0, 569.0], [522.0, 569.0]], ('Subtotal:', 0.9867897033691406)], [[[711.0, 541.0], [774.0, 541.0], [774.0, 565.0], [711.0, 565.0]], ('20.00', 0.99729984998703)], [[[449.0, 582.0], [578.0, 582.0], [578.0, 604.0], [449.0, 604.0]], ('10.25% Tax', 0.9629431962966919)], [[[647.0, 580.0], [733.0, 576.0], [734.0, 598.0], [648.0, 602.0]], ('0.41000', 0.9954293966293335)], [[[433.0, 619.0], [610.0, 619.0], [610.0, 640.0], [433.0, 640.0]], ('RECEIPT TOTAL:', 0.9547780752182007)], [[[714.0, 613.0], [776.0, 608.0], [778.0, 631.0], [716.0, 637.0]], ('22.05', 0.9970714449882507)]]	{"store_name": "WINDYCITYHARLEY-DAVIDSON", "store_addr": "Chicago,IL O'HareInternationalAirport", "telephone": "773.686.4886", "date": "9/6/2017", "time": "2:59:56PM", "subtotal": "20.00", "tax": "0.41000", "total": "22.05", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WCPOKERCHIPALCAPONE", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WCCHIF", "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	[[[[35.0, 39.0], [95.0, 46.0], [91.0, 73.0], [32.0, 65.0]], ('Fairview', 0.9922175407409668)], [[[32.0, 78.0], [57.0, 78.0], [57.0, 93.0], [32.0, 93.0]], ('Iten', 0.9945565462112427)], [[[217.0, 74.0], [244.0, 74.0], [244.0, 87.0], [217.0, 87.0]], ('Price', 0.996860146522522)], [[[279.0, 72.0], [304.0, 72.0], [304.0, 84.0], [279.0, 84.0]], ('Total', 0.9847053289413452)], [[[30.0, 92.0], [82.0, 95.0], [81.0, 110.0], [29.0, 106.0]], ('TitoUdk S', 0.8357782363891602)], [[[164.0, 87.0], [184.0, 87.0], [184.0, 103.0], [164.0, 103.0]], ('Qty', 0.877488374710083)], [[[221.0, 88.0], [243.0, 88.0], [243.0, 100.0], [221.0, 100.0]], ('Each', 0.9963799715042114)], [[[280.0, 86.0], [307.0, 86.0], [307.0, 99.0], [280.0, 99.0]], ('Price', 0.9978593587875366)], [[[29.0, 107.0], [85.0, 111.0], [84.0, 126.0], [28.0, 122.0]], ('$BloodyMry', 0.874121367931366)], [[[175.0, 103.0], [183.0, 103.0], [183.0, 116.0], [175.0, 116.0]], ('1', 0.5907696485519409)], [[[222.0, 102.0], [244.0, 102.0], [244.0, 114.0], [222.0, 114.0]], ('8.00', 0.9959744811058044)], [[[286.0, 100.0], [308.0, 100.0], [308.0, 112.0], [286.0, 112.0]], ('8.00', 0.9843644499778748)], [[[137.0, 116.0], [146.0, 116.0], [146.0, 127.0], [137.0, 127.0]], ('1', 0.9751443266868591)], [[[221.0, 115.0], [246.0, 115.0], [246.0, 130.0], [221.0, 130.0]], ('3.00', 0.9975003004074097)], [[[286.0, 113.0], [309.0, 113.0], [309.0, 128.0], [286.0, 128.0]], ('3.00', 0.9974496364593506)], [[[29.0, 124.0], [80.0, 127.0], [80.0, 142.0], [28.0, 139.0]], ('Joe16Cab6', 0.938283383846283)], [[[176.0, 133.0], [183.0, 133.0], [183.0, 144.0], [176.0, 144.0]], ('1', 0.8719000816345215)], [[[218.0, 130.0], [246.0, 130.0], [246.0, 145.0], [218.0, 145.0]], ('11.00', 0.885959804058075)], [[[283.0, 129.0], [310.0, 129.0], [310.0, 143.0], [283.0, 143.0]], ('11.00', 0.9970309138298035)], [[[27.0, 140.0], [75.0, 143.0], [75.0, 157.0], [26.0, 155.0]], ('BS Nacho', 0.9401681423187256)], [[[176.0, 148.0], [184.0, 148.0], [184.0, 159.0], [176.0, 159.0]], ('1', 0.9846251010894775)], [[[219.0, 145.0], [246.0, 145.0], [246.0, 160.0], [219.0, 160.0]], ('13.00', 0.9962563514709473)], [[[284.0, 143.0], [312.0, 143.0], [312.0, 158.0], [284.0, 158.0]], ('13.00', 0.9962023496627808)], [[[26.0, 157.0], [74.0, 159.0], [74.0, 174.0], [25.0, 172.0]], ('$Chicken', 0.9450141191482544)], [[[137.0, 162.0], [146.0, 162.0], [146.0, 174.0], [137.0, 174.0]], ('1', 0.9024340510368347)], [[[222.0, 161.0], [247.0, 161.0], [247.0, 176.0], [222.0, 176.0]], ('5.00', 0.9965370893478394)], [[[288.0, 159.0], [313.0, 159.0], [313.0, 174.0], [288.0, 174.0]], ('5.00', 0.9972691535949707)], [[[27.0, 176.0], [79.0, 176.0], [79.0, 190.0], [27.0, 190.0]], ('TitoUdk S', 0.7834923267364502)], [[[176.0, 179.0], [184.0, 179.0], [184.0, 191.0], [176.0, 191.0]], ('1', 0.8818162679672241)], [[[223.0, 177.0], [248.0, 177.0], [248.0, 192.0], [223.0, 192.0]], ('8.00', 0.9969855546951294)], [[[289.0, 175.0], [314.0, 175.0], [314.0, 190.0], [289.0, 190.0]], ('8.00', 0.9959012866020203)], [[[25.0, 191.0], [82.0, 193.0], [82.0, 208.0], [25.0, 205.0]], ('SBloodyHry', 0.859721302986145)], [[[137.0, 194.0], [145.0, 194.0], [145.0, 206.0], [137.0, 206.0]], ('1', 0.9357556700706482)], [[[223.0, 193.0], [248.0, 193.0], [248.0, 208.0], [223.0, 208.0]], ('3.00', 0.9967951774597168)], [[[291.0, 191.0], [316.0, 191.0], [316.0, 206.0], [291.0, 206.0]], ('3.00', 0.9971192479133606)], [[[24.0, 207.0], [77.0, 210.0], [77.0, 227.0], [23.0, 224.0]], ('TitoUdk S', 0.8609449863433838)], [[[177.0, 212.0], [184.0, 212.0], [184.0, 222.0], [177.0, 222.0]], ('1', 0.9696235656738281)], [[[224.0, 209.0], [249.0, 209.0], [249.0, 224.0], [224.0, 224.0]], ('8.00', 0.9966399073600769)], [[[292.0, 208.0], [317.0, 208.0], [317.0, 222.0], [292.0, 222.0]], ('8.00', 0.9968154430389404)], [[[23.0, 225.0], [80.0, 228.0], [80.0, 242.0], [23.0, 240.0]], ('sBloodyHry', 0.9062294960021973)], [[[224.0, 225.0], [250.0, 225.0], [250.0, 241.0], [224.0, 241.0]], ('33.0', 0.6673535108566284)], [[[293.0, 224.0], [318.0, 224.0], [318.0, 239.0], [293.0, 239.0]], ('3.00', 0.9965388774871826)], [[[22.0, 245.0], [80.0, 245.0], [80.0, 259.0], [22.0, 259.0]], ('BurgerTrio', 0.994029700756073)], [[[176.0, 244.0], [185.0, 244.0], [185.0, 257.0], [176.0, 257.0]], ('1', 0.9695724248886108)], [[[221.0, 242.0], [250.0, 242.0], [250.0, 257.0], [221.0, 257.0]], ('16.00', 0.9950997233390808)], [[[290.0, 241.0], [319.0, 241.0], [319.0, 256.0], [290.0, 256.0]], ('16.00', 0.9954907298088074)], [[[22.0, 263.0], [80.0, 263.0], [80.0, 277.0], [22.0, 277.0]], ('BBQChxFlat', 0.9563414454460144)], [[[175.0, 260.0], [187.0, 260.0], [187.0, 275.0], [175.0, 275.0]], ('1', 0.9677533507347107)], [[[223.0, 259.0], [252.0, 259.0], [252.0, 274.0], [223.0, 274.0]], ('14.00', 0.9959056973457336)], [[[291.0, 258.0], [320.0, 258.0], [320.0, 273.0], [291.0, 273.0]], ('14.00', 0.9957345724105835)], [[[20.0, 281.0], [57.0, 281.0], [57.0, 296.0], [20.0, 296.0]], ('Brulee', 0.9790213704109192)], [[[177.0, 279.0], [186.0, 279.0], [186.0, 291.0], [177.0, 291.0]], ('1', 0.7870596647262573)], [[[227.0, 276.0], [254.0, 276.0], [254.0, 291.0], [227.0, 291.0]], ("00'6", 0.8992805480957031)], [[[298.0, 274.0], [323.0, 274.0], [323.0, 289.0], [298.0, 289.0]], ('9.00', 0.9919317960739136)], [[[13.0, 318.0], [64.0, 315.0], [65.0, 333.0], [13.0, 335.0]], ('Subtotal', 0.9554051160812378)], [[[296.0, 309.0], [330.0, 309.0], [330.0, 324.0], [296.0, 324.0]], ('101.00', 0.9951031804084778)], [[[305.0, 327.0], [333.0, 327.0], [333.0, 343.0], [305.0, 343.0]], ('8.34', 0.9891860485076904)]]	{"store_name": "Fairview", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "101.00", "tax": "8.34", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Brulee", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BBQChxFlat", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BurgerTrio", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$BLoodyMry", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TitoVdkS", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$BloodyMry", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TitoVdkS", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$Chicken", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BSNacho", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JoelGCabG", "item_value": "11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$BloodyMry", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TitoVdkS", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "Item", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[91.0, 140.0], [187.0, 140.0], [187.0, 158.0], [91.0, 158.0]], ('WALAMART', 0.9314265847206116)], [[[82.0, 167.0], [190.0, 169.0], [190.0, 184.0], [82.0, 182.0]], ('WE SELL FOR LESS', 0.9168803691864014)], [[[102.0, 182.0], [158.0, 182.0], [158.0, 196.0], [102.0, 196.0]], ('ALWAYS!', 0.9347926378250122)], [[[98.0, 196.0], [169.0, 196.0], [169.0, 207.0], [98.0, 207.0]], ('STORE1627', 0.9254443645477295)], [[[10.0, 206.0], [262.0, 207.0], [262.0, 221.0], [10.0, 220.0]], ('ST16270P 00000138TE05TR 08226', 0.901416540145874)], [[[11.0, 220.0], [177.0, 220.0], [177.0, 233.0], [11.0, 233.0]], ('FOLIAGEBSK072520920015', 0.9597911238670349)], [[[220.0, 221.0], [257.0, 221.0], [257.0, 235.0], [220.0, 235.0]], ('5.47', 0.9616976380348206)], [[[95.0, 233.0], [176.0, 233.0], [176.0, 247.0], [95.0, 247.0]], ('001780046572', 0.9951850771903992)], [[[219.0, 233.0], [265.0, 233.0], [265.0, 248.0], [219.0, 248.0]], ('5.67J', 0.9087573885917664)], [[[11.0, 234.0], [69.0, 234.0], [69.0, 245.0], [11.0, 245.0]], ('CAT.FOOD', 0.8943568468093872)], [[[8.0, 245.0], [176.0, 245.0], [176.0, 259.0], [8.0, 259.0]], ('6AZALEAPT004326100603', 0.9833786487579346)], [[[220.0, 246.0], [266.0, 246.0], [266.0, 261.0], [220.0, 261.0]], ('0.75J', 0.8580368161201477)], [[[10.0, 258.0], [176.0, 258.0], [176.0, 271.0], [10.0, 271.0]], ('6AZALEAPT 004326100603', 0.9555742740631104)], [[[220.0, 255.0], [266.0, 258.0], [265.0, 276.0], [219.0, 273.0]], ('0.75J', 0.9489995837211609)], [[[10.0, 270.0], [176.0, 270.0], [176.0, 284.0], [10.0, 284.0]], ('6AZALEAPT 004326100603', 0.9547935724258423)], [[[221.0, 270.0], [251.0, 270.0], [251.0, 285.0], [221.0, 285.0]], ('0.75', 0.9834409356117249)], [[[253.0, 273.0], [264.0, 273.0], [264.0, 284.0], [253.0, 284.0]], ('J', 0.7876275181770325)], [[[10.0, 284.0], [65.0, 284.0], [65.0, 295.0], [10.0, 295.0]], ('BAKEWARE', 0.9957728385925293)], [[[96.0, 283.0], [176.0, 283.0], [176.0, 297.0], [96.0, 297.0]], ('007286700150', 0.9954749941825867)], [[[222.0, 283.0], [252.0, 283.0], [252.0, 298.0], [222.0, 298.0]], ('0.88', 0.9609056711196899)], [[[9.0, 294.0], [176.0, 295.0], [176.0, 309.0], [8.0, 308.0]], ('WMFAC UPRX007874231267', 0.9315510392189026)], [[[253.0, 285.0], [262.0, 285.0], [262.0, 296.0], [253.0, 296.0]], ('J', 0.886144757270813)], [[[220.0, 296.0], [252.0, 296.0], [252.0, 310.0], [220.0, 310.0]], ('0.68', 0.9721397161483765)], [[[8.0, 306.0], [177.0, 307.0], [177.0, 321.0], [7.0, 320.0]], ('HFAC UPRX 007874231267', 0.9318680167198181)], [[[220.0, 308.0], [252.0, 308.0], [252.0, 323.0], [220.0, 323.0]], ('0.68', 0.97910475730896)], [[[250.0, 299.0], [261.0, 295.0], [265.0, 307.0], [254.0, 310.0]], ('J', 0.5172805190086365)], [[[253.0, 310.0], [262.0, 310.0], [262.0, 321.0], [253.0, 321.0]], ('F', 0.8985241651535034)], [[[11.0, 320.0], [52.0, 320.0], [52.0, 331.0], [11.0, 331.0]], ('GARDEN', 0.9326732158660889)], [[[128.0, 320.0], [189.0, 320.0], [189.0, 331.0], [128.0, 331.0]], ('016.0T1', 0.7473512887954712)], [[[220.0, 320.0], [250.0, 320.0], [250.0, 335.0], [220.0, 335.0]], ('1.97', 0.9542055130004883)], [[[95.0, 331.0], [176.0, 332.0], [176.0, 346.0], [94.0, 345.0]], ('003500042800', 0.9840255379676819)], [[[254.0, 322.0], [264.0, 322.0], [264.0, 333.0], [254.0, 333.0]], ('J', 0.913057804107666)], [[[11.0, 333.0], [63.0, 333.0], [63.0, 344.0], [11.0, 344.0]], ('DISHGEL', 0.9857410192489624)], [[[219.0, 332.0], [254.0, 332.0], [254.0, 349.0], [219.0, 349.0]], ('2.97', 0.9690410494804382)], [[[9.0, 343.0], [97.0, 344.0], [97.0, 358.0], [8.0, 357.0]], ('DURA SAUCER', 0.9395343661308289)], [[[248.0, 334.0], [264.0, 334.0], [264.0, 347.0], [248.0, 347.0]], ('J', 0.8666630983352661)], [[[92.0, 345.0], [175.0, 345.0], [175.0, 359.0], [92.0, 359.0]], ('003283294101', 0.9941825866699219)], [[[220.0, 345.0], [253.0, 345.0], [253.0, 360.0], [220.0, 360.0]], ('0.73', 0.9815832376480103)], [[[248.0, 346.0], [265.0, 346.0], [265.0, 359.0], [248.0, 359.0]], ('J', 0.9351319074630737)], [[[8.0, 356.0], [176.0, 358.0], [176.0, 371.0], [7.0, 369.0]], ('HO0VERBAG007350250737', 0.941718578338623)], [[[220.0, 358.0], [265.0, 358.0], [265.0, 373.0], [220.0, 373.0]], ('5.96J', 0.8837732076644897)], [[[7.0, 369.0], [176.0, 370.0], [176.0, 384.0], [7.0, 383.0]], ('PLAHT SAUCER002801600600', 0.9431328773498535)], [[[8.0, 380.0], [176.0, 382.0], [176.0, 396.0], [7.0, 394.0]], ('PLANT SAUCER 002801600600', 0.9494339823722839)], [[[222.0, 372.0], [249.0, 372.0], [249.0, 384.0], [222.0, 384.0]], ('0.34', 0.9813784956932068)], [[[254.0, 373.0], [264.0, 373.0], [264.0, 384.0], [254.0, 384.0]], ('3', 0.7303197979927063)], [[[219.0, 383.0], [253.0, 383.0], [253.0, 397.0], [219.0, 397.0]], ('0.34', 0.9288309812545776)], [[[248.0, 384.0], [264.0, 384.0], [264.0, 397.0], [248.0, 397.0]], ('J', 0.6711488962173462)], [[[10.0, 395.0], [75.0, 395.0], [75.0, 406.0], [10.0, 406.0]], ('VIDEO TAPE', 0.9102153778076172)], [[[95.0, 396.0], [174.0, 396.0], [174.0, 407.0], [95.0, 407.0]], ('007410014702', 0.9967010617256165)], [[[220.0, 395.0], [251.0, 395.0], [251.0, 410.0], [220.0, 410.0]], ('5.97', 0.9858053922653198)], [[[248.0, 396.0], [264.0, 396.0], [264.0, 409.0], [248.0, 409.0]], ('E.', 0.6111953258514404)], [[[10.0, 407.0], [76.0, 407.0], [76.0, 418.0], [10.0, 418.0]], ('REG2.86/', 0.8890520930290222)], [[[94.0, 406.0], [175.0, 407.0], [175.0, 421.0], [93.0, 420.0]], ('003224707797', 0.9979212880134583)], [[[220.0, 408.0], [264.0, 408.0], [264.0, 422.0], [220.0, 422.0]], ('1.40A', 0.9691778421401978)], [[[11.0, 420.0], [76.0, 420.0], [76.0, 431.0], [11.0, 431.0]], ('CATLITTER', 0.9914082288742065)], [[[94.0, 418.0], [175.0, 419.0], [175.0, 433.0], [93.0, 432.0]], ('007874212688', 0.9934428334236145)], [[[220.0, 420.0], [252.0, 420.0], [252.0, 434.0], [220.0, 434.0]], ('1.97', 0.9882340431213379)], [[[253.0, 422.0], [262.0, 422.0], [262.0, 432.0], [253.0, 432.0]], ('J', 0.5525516271591187)], [[[10.0, 432.0], [84.0, 432.0], [84.0, 443.0], [10.0, 443.0]], ('DRI-BOTTONS', 0.9803426265716553)], [[[95.0, 433.0], [176.0, 433.0], [176.0, 445.0], [95.0, 445.0]], ('073312600320', 0.9927318692207336)], [[[220.0, 432.0], [264.0, 432.0], [264.0, 447.0], [220.0, 447.0]], ('8.97D', 0.9265011548995972)], [[[10.0, 445.0], [83.0, 445.0], [83.0, 456.0], [10.0, 456.0]], ('DRI-BOTTOMS', 0.9401443600654602)], [[[93.0, 443.0], [175.0, 444.0], [175.0, 458.0], [92.0, 457.0]], ('073312600320', 0.99600750207901)], [[[219.0, 445.0], [264.0, 445.0], [264.0, 460.0], [219.0, 460.0]], ('8.97D', 0.9266775250434875)], [[[10.0, 458.0], [73.0, 458.0], [73.0, 469.0], [10.0, 469.0]], ('SPINWHEEL', 0.972777247428894)], [[[94.0, 456.0], [176.0, 457.0], [176.0, 471.0], [93.0, 470.0]], ('002899853600', 0.9953227639198303)], [[[126.0, 467.0], [182.0, 470.0], [181.0, 484.0], [125.0, 481.0]], ('SUBTOTAL', 0.9946221113204956)], [[[218.0, 458.0], [264.0, 458.0], [264.0, 472.0], [218.0, 472.0]], ('0.75A', 0.9439794421195984)], [[[212.0, 470.0], [249.0, 470.0], [249.0, 485.0], [212.0, 485.0]], ('55.97', 0.9888507723808289)], [[[67.0, 481.0], [106.0, 481.0], [106.0, 496.0], [67.0, 496.0]], ('TAX 1', 0.8007631301879883)], [[[120.0, 483.0], [172.0, 483.0], [172.0, 497.0], [120.0, 497.0]], ('6.500', 0.9313315153121948)], [[[216.0, 483.0], [248.0, 483.0], [248.0, 498.0], [216.0, 498.0]], ('2.47', 0.989205002784729)], [[[146.0, 497.0], [180.0, 497.0], [180.0, 508.0], [146.0, 508.0]], ('TOTAL', 0.9958837628364563)], [[[212.0, 493.0], [250.0, 496.0], [249.0, 511.0], [211.0, 508.0]], ('58.44', 0.9855219721794128)], [[[112.0, 504.0], [184.0, 507.0], [183.0, 524.0], [111.0, 521.0]], ('VISA TEND', 0.962529718875885)], [[[211.0, 509.0], [251.0, 509.0], [251.0, 523.0], [211.0, 523.0]], ('58.44', 0.9765159487724304)], [[[10.0, 530.0], [134.0, 530.0], [134.0, 543.0], [10.0, 543.0]], ('ACCOUNT 7680-03/99', 0.8960177302360535)], [[[8.0, 543.0], [117.0, 543.0], [117.0, 556.0], [8.0, 556.0]], ('APPROVAL4082951', 0.9463169574737549)], [[[8.0, 554.0], [180.0, 557.0], [179.0, 570.0], [7.0, 567.0]], ('TRANSID-0027226818327101', 0.9591100811958313)], [[[7.0, 568.0], [118.0, 568.0], [118.0, 581.0], [7.0, 581.0]], ('VALIDATION-AN9P', 0.8916711807250977)], [[[7.0, 580.0], [135.0, 580.0], [135.0, 594.0], [7.0, 594.0]], ('PAYMENT SERVICE-E', 0.9393782615661621)], [[[114.0, 595.0], [181.0, 595.0], [181.0, 606.0], [114.0, 606.0]], ('CHANGE DUE', 0.9472792744636536)], [[[218.0, 594.0], [250.0, 594.0], [250.0, 609.0], [218.0, 609.0]], ('0.00', 0.9819644093513489)], [[[57.0, 617.0], [89.0, 617.0], [89.0, 631.0], [57.0, 631.0]], ('TC', 0.8475351929664612)], [[[19.0, 630.0], [247.0, 632.0], [246.0, 646.0], [19.0, 644.0]], ('MAL-MART MASTERCARD 1-800-858-3100', 0.9310290217399597)], [[[58.0, 644.0], [117.0, 644.0], [117.0, 658.0], [58.0, 658.0]], ('08/14/97', 0.9918750524520874)], [[[145.0, 644.0], [202.0, 646.0], [201.0, 660.0], [144.0, 658.0]], ('17:42:02', 0.918569803237915)], [[[65.0, 669.0], [193.0, 670.0], [193.0, 684.0], [65.0, 683.0]], ('CUSTOMER COPY', 0.9508489966392517)]]	{"store_name": "WAL\u2605MART", "store_addr": "", "telephone": "", "date": "08/14/97", "time": "17:42:02", "subtotal": "55.97", "tax": "2.47", "total": "58.44 58.44", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FOLIAGEBSK", "item_value": "5.47", "item_quantity": "1"}, {"item_key": "", "item_name": "CATFOOD", "item_value": "5.67", "item_quantity": "1"}, {"item_key": "", "item_name": "AZALEAPT", "item_value": "0.75", "item_quantity": "1"}, {"item_key": "", "item_name": "AZALEAPT", "item_value": "0.75", "item_quantity": "1"}, {"item_key": "", "item_name": "AZALEAPT", "item_value": "0.75", "item_quantity": "1"}, {"item_key": "", "item_name": "BAKEWARE", "item_value": "0.88", "item_quantity": "1"}, {"item_key": "", "item_name": "WMFACUPRX", "item_value": "0.68", "item_quantity": "1"}, {"item_key": "", "item_name": "WMFACUPRX", "item_value": "0.68", "item_quantity": "1"}, {"item_key": "", "item_name": "GARDEN", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "DISHGEL", "item_value": "2.97", "item_quantity": "1"}, {"item_key": "", "item_name": "DURASAUCER", "item_value": "0.73", "item_quantity": "1"}, {"item_key": "", "item_name": "HOOVERBAGM", "item_value": "5.96", "item_quantity": "1"}, {"item_key": "", "item_name": "PLAHTSAUCER", "item_value": "0.34", "item_quantity": "1"}, {"item_key": "", "item_name": "PLANTBAUCER", "item_value": "0.34", "item_quantity": "1"}, {"item_key": "", "item_name": "VIDEOTAPE", "item_value": "5.97", "item_quantity": "1"}, {"item_key": "", "item_name": "REG2.86./", "item_value": "1.40", "item_quantity": "1"}, {"item_key": "", "item_name": "CATLITTER", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "DRI-BDTTOMS", "item_value": "8.97", "item_quantity": "1"}, {"item_key": "", "item_name": "DRI-BDTTOMS", "item_value": "8.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SPINWHEEL", "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	[[[[136.0, 11.0], [188.0, 13.0], [187.0, 27.0], [135.0, 25.0]], ("Gus's", 0.9420838356018066)], [[[121.0, 36.0], [217.0, 37.0], [216.0, 50.0], [121.0, 49.0]], ('117 San Jacinto Blvd', 0.8315512537956238)], [[[129.0, 49.0], [204.0, 45.0], [205.0, 58.0], [130.0, 62.0]], ('Astin.TX78701', 0.9173116087913513)], [[[134.0, 60.0], [202.0, 56.0], [203.0, 69.0], [135.0, 72.0]], ('512474-4877', 0.9471668601036072)], [[[78.0, 83.0], [200.0, 80.0], [201.0, 94.0], [78.0, 97.0]], ('Tb121Gsts2.SrvrHILA', 0.8310319781303406)], [[[78.0, 94.0], [188.0, 94.0], [188.0, 107.0], [78.0, 107.0]], ('Date:08-05-20158:16', 0.8984491229057312)], [[[211.0, 94.0], [269.0, 94.0], [269.0, 105.0], [211.0, 105.0]], ('5.0580.00316', 0.9813432693481445)], [[[97.0, 118.0], [174.0, 118.0], [174.0, 128.0], [97.0, 128.0]], ('J.Fried Green Tom', 0.8414323329925537)], [[[192.0, 115.0], [216.0, 115.0], [216.0, 130.0], [192.0, 130.0]], ('6.75', 0.9842405915260315)], [[[97.0, 129.0], [151.0, 129.0], [151.0, 139.0], [97.0, 139.0]], ('2 Sweet Tea', 0.8358606696128845)], [[[192.0, 127.0], [216.0, 127.0], [216.0, 141.0], [192.0, 141.0]], ('4.50', 0.9305036664009094)], [[[97.0, 140.0], [157.0, 140.0], [157.0, 150.0], [97.0, 150.0]], ('1Mediu Rice', 0.8358795046806335)], [[[192.0, 135.0], [216.0, 138.0], [214.0, 154.0], [190.0, 151.0]], ('3.75', 0.9834766387939453)], [[[96.0, 148.0], [176.0, 147.0], [176.0, 161.0], [96.0, 162.0]], ('1Medius Potato S', 0.8768322467803955)], [[[192.0, 148.0], [216.0, 148.0], [216.0, 163.0], [192.0, 163.0]], ('3.75', 0.9919885993003845)], [[[96.0, 159.0], [176.0, 158.0], [176.0, 172.0], [96.0, 173.0]], ('13Piece hte P', 0.8042856454849243)], [[[192.0, 159.0], [216.0, 159.0], [216.0, 174.0], [192.0, 174.0]], ('9.75', 0.9915356636047363)], [[[119.0, 181.0], [149.0, 181.0], [149.0, 195.0], [119.0, 195.0]], ('Breast', 0.9737035632133484)], [[[120.0, 172.0], [149.0, 172.0], [149.0, 183.0], [120.0, 183.0]], ('Bresst', 0.6450311541557312)], [[[120.0, 193.0], [142.0, 193.0], [142.0, 205.0], [120.0, 205.0]], ('Hing', 0.9826366901397705)], [[[120.0, 204.0], [167.0, 204.0], [167.0, 215.0], [120.0, 215.0]], ('Side Beans', 0.918040931224823)], [[[120.0, 215.0], [174.0, 215.0], [174.0, 225.0], [120.0, 225.0]], ('Side Mac Oh', 0.8041019439697266)], [[[193.0, 215.0], [214.0, 215.0], [214.0, 226.0], [193.0, 226.0]], ('0.SU', 0.7568480968475342)], [[[99.0, 225.0], [173.0, 224.0], [173.0, 235.0], [99.0, 236.0]], ('1 Medius Coliard', 0.7647837400436401)], [[[193.0, 224.0], [215.0, 224.0], [215.0, 235.0], [193.0, 235.0]], ('3.75', 0.9832510352134705)], [[[132.0, 235.0], [178.0, 235.0], [178.0, 246.0], [132.0, 246.0]], ('Sub-Total:', 0.8790757060050964)], [[[193.0, 233.0], [218.0, 233.0], [218.0, 245.0], [193.0, 245.0]], ('32.75', 0.967086911201477)], [[[155.0, 246.0], [179.0, 246.0], [179.0, 257.0], [155.0, 257.0]], ('Tax:', 0.9117201566696167)], [[[196.0, 244.0], [218.0, 244.0], [218.0, 256.0], [196.0, 256.0]], ('2.70', 0.9519813060760498)], [[[80.0, 256.0], [170.0, 255.0], [170.0, 269.0], [80.0, 270.0]], ('Total Due:', 0.9248861074447632)], [[[211.0, 255.0], [255.0, 255.0], [255.0, 265.0], [211.0, 265.0]], ('35.45', 0.9928455352783203)], [[[121.0, 278.0], [213.0, 278.0], [213.0, 288.0], [121.0, 288.0]], ('For .Your Convenience:', 0.8679216504096985)], [[[89.0, 298.0], [244.0, 297.0], [244.0, 310.0], [89.0, 311.0]], ("Dont forget your Bus's gift cards!", 0.8924049139022827)], [[[127.0, 289.0], [214.0, 286.0], [215.0, 299.0], [128.0, 303.0]], ('181-$5.89201-$6.55', 0.8675808310508728)], [[[93.0, 308.0], [243.0, 307.0], [243.0, 321.0], [93.0, 322.0]], ('The perfect gift tor any occasion', 0.9257915616035461)], [[[102.0, 320.0], [236.0, 317.0], [236.0, 331.0], [102.0, 334.0]], ('Ask your server for ore info', 0.8858925104141235)]]	{"store_name": "Gus's", "store_addr": "117SanJacintoBlvd Austin,TX78701", "telephone": "(512)474-4877", "date": "08-05-2015", "time": "8:16pm", "subtotal": "32.75", "tax": "2.70", "total": "35.45", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FriedGreenTom", "item_value": "6.75", "item_quantity": "1"}, {"item_key": "", "item_name": "SweetTea", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "MediumRice", "item_value": "3.75", "item_quantity": "1"}, {"item_key": "", "item_name": "MediumPotatoS", "item_value": "3.75", "item_quantity": "1"}, {"item_key": "", "item_name": "3PiecewilteP", "item_value": "9.75", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.75", "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	[[[[182.0, 17.0], [235.0, 17.0], [235.0, 31.0], [182.0, 31.0]], ('SANFRAS', 0.8845077753067017)], [[[241.0, 12.0], [333.0, 3.0], [335.0, 19.0], [243.0, 28.0]], ('SCO CA 94118', 0.8868589997291565)], [[[212.0, 33.0], [298.0, 23.0], [299.0, 40.0], [214.0, 49.0]], ('415.386.8332', 0.9757654666900635)], [[[113.0, 56.0], [195.0, 62.0], [193.0, 79.0], [111.0, 73.0]], ('10023 SARAH', 0.9624014496803284)], [[[108.0, 88.0], [192.0, 94.0], [190.0, 111.0], [106.0, 105.0]], ('Check:1728', 0.9514058828353882)], [[[326.0, 84.0], [394.0, 76.0], [396.0, 95.0], [328.0, 103.0]], ('Guests:4', 0.940036416053772)], [[[108.0, 104.0], [183.0, 110.0], [182.0, 128.0], [106.0, 122.0]], ('Table:2-1', 0.9398384094238281)], [[[186.0, 128.0], [315.0, 121.0], [317.0, 142.0], [187.0, 149.0]], ('10/11/200908:23PM', 0.9770489931106567)], [[[136.0, 156.0], [266.0, 161.0], [265.0, 183.0], [135.0, 178.0]], ('Comp.KIMCHEE&V', 0.975187361240387)], [[[323.0, 153.0], [358.0, 150.0], [359.0, 170.0], [324.0, 172.0]], ('0.00', 0.9962224960327148)], [[[100.0, 174.0], [109.0, 174.0], [109.0, 187.0], [100.0, 187.0]], ('1', 0.7877399921417236)], [[[136.0, 174.0], [215.0, 180.0], [214.0, 197.0], [135.0, 191.0]], ('NAMU RAMEN', 0.9546833038330078)], [[[318.0, 171.0], [358.0, 169.0], [359.0, 188.0], [319.0, 191.0]], ('12.00', 0.9948957562446594)], [[[134.0, 191.0], [178.0, 195.0], [177.0, 211.0], [133.0, 207.0]], ('KFC', 0.985396683216095)], [[[315.0, 190.0], [358.0, 187.0], [359.0, 206.0], [316.0, 209.0]], ('29.00', 0.9957982897758484)], [[[97.0, 208.0], [106.0, 208.0], [106.0, 222.0], [97.0, 222.0]], ('1', 0.911632776260376)], [[[133.0, 208.0], [226.0, 214.0], [225.0, 231.0], [132.0, 226.0]], ('KOREAN TACOS', 0.9689691662788391)], [[[321.0, 207.0], [358.0, 207.0], [358.0, 226.0], [321.0, 226.0]], ('8.00', 0.997683048248291)], [[[93.0, 224.0], [106.0, 224.0], [106.0, 239.0], [93.0, 239.0]], ('2', 0.9852035045623779)], [[[131.0, 224.0], [189.0, 230.0], [187.0, 248.0], [130.0, 243.0]], ('ASAHI L', 0.92113196849823)], [[[315.0, 226.0], [357.0, 224.0], [358.0, 243.0], [316.0, 246.0]], ('14.00', 0.9953768849372864)], [[[128.0, 260.0], [191.0, 265.0], [189.0, 283.0], [127.0, 278.0]], ('SUBTOTAL', 0.9952132701873779)], [[[313.0, 263.0], [355.0, 261.0], [356.0, 280.0], [314.0, 282.0]], ('63.00', 0.9922059774398804)], [[[127.0, 278.0], [155.0, 283.0], [153.0, 300.0], [124.0, 296.0]], ('Tax', 0.9920952916145325)], [[[318.0, 281.0], [354.0, 278.0], [355.0, 298.0], [319.0, 301.0]], ('5.99', 0.9908661842346191)], [[[87.0, 293.0], [226.0, 303.0], [225.0, 324.0], [86.0, 314.0]], ('TOTAL DUE', 0.9498983025550842)], [[[295.0, 302.0], [390.0, 296.0], [391.0, 317.0], [297.0, 323.0]], ('$68.99', 0.9942440390586853)], [[[180.0, 355.0], [291.0, 359.0], [290.0, 381.0], [180.0, 377.0]], ('WWW.NAMUSF.COM', 0.9504612684249878)]]	{"store_name": "", "store_addr": "", "telephone": "415.386.8332", "date": "10/11/2009", "time": "08:23PM", "subtotal": "63.00", "tax": "5.99", "total": "$68.99", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ASAHIL", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KOREANTACOS", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KFC", "item_value": "29.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NAMURAMEN", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Comp.KIMCHEE&V", "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	[[[[0.0, 25.0], [103.0, 2.0], [108.0, 24.0], [1.0, 47.0]], ('espanol e', 0.918125569820404)], [[[0.0, 66.0], [83.0, 48.0], [89.0, 75.0], [3.0, 93.0]], ('ANK YOU', 0.9194539785385132)], [[[18.0, 186.0], [364.0, 76.0], [386.0, 142.0], [41.0, 253.0]], ('Walmart>', 0.9828991293907166)], [[[192.0, 260.0], [346.0, 215.0], [354.0, 241.0], [200.0, 286.0]], ('727861-0040', 0.9388912320137024)], [[[152.0, 296.0], [394.0, 221.0], [402.0, 247.0], [161.0, 322.0]], ('Manager JAMEs SCHRODER', 0.8454042673110962)], [[[439.0, 293.0], [508.0, 270.0], [516.0, 293.0], [447.0, 317.0]], ('XILE', 0.7425143122673035)], [[[171.0, 312.0], [379.0, 247.0], [387.0, 273.0], [179.0, 337.0]], ('12610 US HIGHWA19', 0.8599934577941895)], [[[444.0, 312.0], [516.0, 288.0], [525.0, 314.0], [454.0, 339.0]], ('2.1X', 0.8653349876403809)], [[[199.0, 326.0], [364.0, 274.0], [372.0, 299.0], [208.0, 351.0]], ('HUDS0N FL34667', 0.913206934928894)], [[[462.0, 347.0], [515.0, 335.0], [522.0, 363.0], [468.0, 375.0]], ('0.47', 0.841874361038208)], [[[236.0, 359.0], [368.0, 318.0], [375.0, 340.0], [243.0, 382.0]], ('002006677970', 0.990410327911377)], [[[469.0, 368.0], [521.0, 352.0], [530.0, 379.0], [478.0, 396.0]], ('6.36', 0.9479598999023438)], [[[87.0, 385.0], [501.0, 250.0], [510.0, 276.0], [95.0, 411.0]], ('ST52660P00001371 TE24TR#0052', 0.947786271572113)], [[[242.0, 379.0], [370.0, 338.0], [379.0, 363.0], [250.0, 404.0]], ('00753530790', 0.993096113204956)], [[[295.0, 382.0], [394.0, 356.0], [401.0, 382.0], [302.0, 407.0]], ('SUBTOTAI', 0.8551180362701416)], [[[477.0, 389.0], [528.0, 371.0], [538.0, 398.0], [487.0, 415.0]], ('6.36', 0.9660669565200806)], [[[92.0, 406.0], [216.0, 366.0], [224.0, 391.0], [101.0, 431.0]], ('SPRAY PAINT', 0.9631184935569763)], [[[298.0, 406.0], [383.0, 382.0], [390.0, 406.0], [306.0, 430.0]], ('7.000', 0.9926514625549316)], [[[350.0, 412.0], [411.0, 395.0], [419.0, 422.0], [358.0, 439.0]], ('TOTAL.', 0.8087790608406067)], [[[487.0, 409.0], [537.0, 396.0], [544.0, 421.0], [494.0, 434.0]], ('0.00', 0.9556990265846252)], [[[100.0, 426.0], [203.0, 395.0], [211.0, 421.0], [108.0, 452.0]], ('AUTO TAPE', 0.9691377282142639)], [[[211.0, 433.0], [274.0, 417.0], [281.0, 443.0], [218.0, 460.0]], ('TAX 1', 0.8424654006958008)], [[[368.0, 428.0], [419.0, 414.0], [426.0, 439.0], [375.0, 453.0]], ('TEID', 0.8360084295272827)], [[[292.0, 452.0], [381.0, 427.0], [388.0, 452.0], [300.0, 478.0]], ('DEBIT ', 0.8997032046318054)], [[[311.0, 472.0], [425.0, 432.0], [435.0, 458.0], [320.0, 498.0]], ('CHANGE DUE', 0.9266723394393921)], [[[335.0, 532.0], [511.0, 474.0], [520.0, 501.0], [344.0, 559.0]], ('PAY FRON PRIHARY', 0.9077854156494141)], [[[272.0, 580.0], [436.0, 525.0], [446.0, 554.0], [282.0, 609.0]], ('TOTAL PURCHASE', 0.9554318189620972)], [[[345.0, 578.0], [563.0, 502.0], [574.0, 531.0], [355.0, 607.0]], ('290**********', 0.8678365349769592)], [[[162.0, 597.0], [261.0, 564.0], [270.0, 589.0], [171.0, 622.0]], ('EFT DEBIT', 0.9433927536010742)], [[[212.0, 603.0], [265.0, 590.0], [271.0, 615.0], [218.0, 628.0]], ('6.36', 0.9896464943885803)], [[[179.0, 640.0], [279.0, 610.0], [286.0, 633.0], [186.0, 662.0]], ('ACCOUNT#', 0.9794496893882751)], [[[182.0, 664.0], [385.0, 592.0], [395.0, 619.0], [192.0, 691.0]], ('REF #131900194003', 0.9626731872558594)], [[[443.0, 666.0], [535.0, 639.0], [544.0, 665.0], [451.0, 692.0]], ('15:15:39', 0.8882179856300354)], [[[312.0, 712.0], [401.0, 680.0], [411.0, 707.0], [322.0, 739.0]], ('11/15/11', 0.9983953237533569)], [[[313.0, 757.0], [586.0, 673.0], [599.0, 713.0], [326.0, 797.0]], ('ITEMS SOLD2', 0.9406021237373352)], [[[290.0, 823.0], [607.0, 724.0], [616.0, 754.0], [300.0, 853.0]], ('TC#697980874761142016', 0.947483241558075)], [[[477.0, 889.0], [685.0, 836.0], [692.0, 861.0], [483.0, 914.0]], ('HTAPPta6325', 0.8622786998748779)], [[[427.0, 908.0], [481.0, 894.0], [486.0, 915.0], [433.0, 928.0]], ('Text', 0.9959248304367065)], [[[527.0, 900.0], [621.0, 878.0], [627.0, 904.0], [533.0, 926.0]], ('15:35:41', 0.9135414361953735)], [[[296.0, 951.0], [422.0, 909.0], [431.0, 936.0], [305.0, 977.0]], ('nobile app.', 0.9031503200531006)], [[[377.0, 942.0], [472.0, 913.0], [481.0, 943.0], [387.0, 972.0]], ('11/15/11', 0.9972419738769531)]]	{"store_name": "Walmart", "store_addr": "12610USHIGHWAY19 HUDSONFL34667", "telephone": "(727)861-0040", "date": "11/15/11 11/15/11", "time": "15:35:41", "subtotal": "5.94", "tax": "0.42", "total": "6.36", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SPRAYPAINT", "item_value": "3.77", "item_quantity": "1"}, {"item_key": "", "item_name": "AUTOTAPE", "item_value": "2.17", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[132.0, 12.0], [222.0, 14.0], [221.0, 34.0], [131.0, 31.0]], ('Cash Receipt', 0.9589807391166687)], [[[8.0, 58.0], [99.0, 60.0], [99.0, 77.0], [8.0, 75.0]], ('CAR WASHEa', 0.9435250163078308)], [[[145.0, 61.0], [158.0, 61.0], [158.0, 77.0], [145.0, 77.0]], ('1', 0.9813063740730286)], [[[239.0, 61.0], [278.0, 61.0], [278.0, 80.0], [239.0, 80.0]], ('24.95', 0.9917716979980469)], [[[8.0, 82.0], [99.0, 84.0], [99.0, 102.0], [8.0, 100.0]], ('CAR WASHEa', 0.9649028778076172)], [[[145.0, 85.0], [158.0, 85.0], [158.0, 102.0], [145.0, 102.0]], ('1', 0.9806922674179077)], [[[239.0, 84.0], [279.0, 84.0], [279.0, 103.0], [239.0, 103.0]], ('37.95', 0.9935277104377747)], [[[9.0, 130.0], [58.0, 130.0], [58.0, 148.0], [9.0, 148.0]], ('Itens:', 0.9822771549224854)], [[[132.0, 130.0], [192.0, 130.0], [192.0, 151.0], [132.0, 151.0]], ('Subtotal', 0.991242527961731)], [[[239.0, 131.0], [279.0, 131.0], [279.0, 149.0], [239.0, 149.0]], ('62.90', 0.9729045033454895)], [[[7.0, 152.0], [34.0, 155.0], [32.0, 176.0], [4.0, 172.0]], ('Tax', 0.9926159381866455)], [[[246.0, 155.0], [279.0, 155.0], [279.0, 174.0], [246.0, 174.0]], ('0.00', 0.9973759651184082)], [[[9.0, 179.0], [80.0, 179.0], [80.0, 197.0], [9.0, 197.0]], ('Total', 0.9901641607284546)], [[[239.0, 179.0], [286.0, 179.0], [286.0, 197.0], [239.0, 197.0]], ('$62.90', 0.9954228401184082)], [[[10.0, 226.0], [82.0, 226.0], [82.0, 244.0], [10.0, 244.0]], ('Cash(USDs)', 0.8914521932601929)], [[[234.0, 225.0], [279.0, 225.0], [279.0, 243.0], [234.0, 243.0]], ('$80.00', 0.9816818833351135)], [[[40.0, 248.0], [184.0, 248.0], [184.0, 268.0], [40.0, 268.0]], ('CHANGE DUE', 0.9720279574394226)], [[[240.0, 248.0], [280.0, 248.0], [280.0, 267.0], [240.0, 267.0]], ('17.10', 0.9922768473625183)], [[[14.0, 319.0], [241.0, 319.0], [241.0, 336.0], [14.0, 336.0]], ('142104e6s163t2 09/23/18 09:48:08', 0.943409264087677)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "09/23/18", "time": "09:48:08", "subtotal": "62.90", "tax": "0.00", "total": "$62.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CARWASH,Ea", "item_value": "24.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CARWASH,Ea", "item_value": "37.95", "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	[[[[97.0, 54.0], [243.0, 51.0], [244.0, 67.0], [97.0, 70.0]], ('HOLA CUBAN CAFE,INC', 0.9494699239730835)], [[[118.0, 72.0], [214.0, 69.0], [215.0, 86.0], [118.0, 90.0]], ('117CENTER ST', 0.9565689563751221)], [[[68.0, 89.0], [266.0, 87.0], [266.0, 104.0], [68.0, 107.0]], ('FERNANDINA BEACHFL32034', 0.9726990461349487)], [[[103.0, 108.0], [229.0, 106.0], [229.0, 124.0], [104.0, 125.0]], ('ph 786226-7042', 0.9631305932998657)], [[[92.0, 143.0], [252.0, 143.0], [252.0, 160.0], [92.0, 160.0]], ('Thank You for Visiting', 0.9260526299476624)], [[[99.0, 162.0], [236.0, 162.0], [236.0, 176.0], [99.0, 176.0]], ('TABLED9-1Guest', 0.9564495086669922)], [[[92.0, 180.0], [243.0, 180.0], [243.0, 194.0], [92.0, 194.0]], ('Your Server was Chris', 0.9542027711868286)], [[[41.0, 196.0], [301.0, 195.0], [301.0, 212.0], [41.0, 213.0]], ('7/15/2016 103:03 PM-ID#0108681', 0.9377468824386597)], [[[19.0, 216.0], [52.0, 216.0], [52.0, 231.0], [19.0, 231.0]], ('ITEM', 0.9960983395576477)], [[[254.0, 212.0], [325.0, 214.0], [325.0, 231.0], [254.0, 229.0]], ('QTY PRICE', 0.9468494057655334)], [[[20.0, 251.0], [123.0, 251.0], [123.0, 265.0], [20.0, 265.0]], ('Pan Con Lechon', 0.9420846104621887)], [[[283.0, 250.0], [325.0, 250.0], [325.0, 265.0], [283.0, 265.0]], ('$7.50', 0.9686810374259949)], [[[55.0, 268.0], [128.0, 268.0], [128.0, 282.0], [55.0, 282.0]], ('Add Cheese', 0.9653752446174622)], [[[286.0, 267.0], [327.0, 267.0], [327.0, 285.0], [286.0, 285.0]], ('$0.50', 0.9970039129257202)], [[[21.0, 286.0], [102.0, 286.0], [102.0, 300.0], [21.0, 300.0]], ('Media Noche', 0.9496899247169495)], [[[264.0, 287.0], [286.0, 287.0], [286.0, 299.0], [264.0, 299.0]], ('1', 0.5020670294761658)], [[[285.0, 286.0], [326.0, 286.0], [326.0, 301.0], [285.0, 301.0]], ('$7.50', 0.9951224327087402)], [[[19.0, 300.0], [109.0, 302.0], [109.0, 320.0], [19.0, 317.0]], ('Papa Rel lena', 0.8855143189430237)], [[[286.0, 304.0], [325.0, 304.0], [325.0, 319.0], [286.0, 319.0]], ('$3.25', 0.9982695579528809)], [[[20.0, 318.0], [114.0, 318.0], [114.0, 335.0], [20.0, 335.0]], ('Bottled Water', 0.95094233751297)], [[[210.0, 321.0], [274.0, 321.0], [274.0, 339.0], [210.0, 339.0]], ('40$1.00', 0.9730963706970215)], [[[286.0, 322.0], [326.0, 322.0], [326.0, 338.0], [286.0, 338.0]], ('$4.00', 0.9957593679428101)], [[[22.0, 339.0], [66.0, 339.0], [66.0, 354.0], [22.0, 354.0]], ('Colada', 0.996734619140625)], [[[285.0, 341.0], [325.0, 341.0], [325.0, 356.0], [285.0, 356.0]], ('$2.50', 0.9954140782356262)], [[[126.0, 354.0], [185.0, 354.0], [185.0, 371.0], [126.0, 371.0]], ('Subtotal', 0.9933537244796753)], [[[280.0, 358.0], [325.0, 358.0], [325.0, 373.0], [280.0, 373.0]], ('$25.25', 0.9973706603050232)], [[[129.0, 374.0], [208.0, 374.0], [208.0, 388.0], [129.0, 388.0]], ('Total Taxes', 0.966900110244751)], [[[285.0, 372.0], [325.0, 372.0], [325.0, 387.0], [285.0, 387.0]], ('$1.77', 0.9965421557426453)], [[[130.0, 404.0], [207.0, 404.0], [207.0, 418.0], [130.0, 418.0]], ('Grand Total', 0.9677963852882385)], [[[276.0, 401.0], [321.0, 401.0], [321.0, 415.0], [276.0, 415.0]], ('$27.02', 0.9966015815734863)], [[[130.0, 418.0], [207.0, 418.0], [207.0, 432.0], [130.0, 432.0]], ('Amount Due:', 0.9655786752700806)], [[[275.0, 416.0], [321.0, 416.0], [321.0, 431.0], [275.0, 431.0]], ('$27.02', 0.992973804473877)], [[[29.0, 431.0], [133.0, 431.0], [133.0, 445.0], [29.0, 445.0]], ('Credit Purchase', 0.9665652513504028)]]	{"store_name": "HOLACUBANCAFE,INC", "store_addr": "117CENTERST FERNANDINABEACH,FL32034", "telephone": "(786)226-7042", "date": "7/15/2016", "time": "1:03:03PM", "subtotal": "$25.25", "tax": "$1.77", "total": "$27.02 $27.02", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PanConLechon", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "AddCheese", "item_value": "$0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "MediaNoche", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PapaRellena", "item_value": "$3.25", "item_quantity": "1"}, {"item_key": "", "item_name": "BottledWater", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Colada", "item_value": "$2.50", "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	[[[[342.0, 54.0], [421.0, 44.0], [424.0, 67.0], [345.0, 77.0]], ('FACTURE', 0.9952220320701599)], [[[300.0, 130.0], [477.0, 115.0], [479.0, 140.0], [302.0, 155.0]], ('78000 VERSAILLES', 0.9700458645820618)], [[[275.0, 154.0], [501.0, 138.0], [503.0, 166.0], [277.0, 182.0]], ('Tel 01.39.02.36.03', 0.9331903457641602)], [[[254.0, 206.0], [511.0, 191.0], [513.0, 216.0], [256.0, 231.0]], ('TVA INTRA FR11420466708', 0.9617944955825806)], [[[171.0, 277.0], [332.0, 280.0], [331.0, 305.0], [170.0, 302.0]], ('Caissier #166', 0.9672006964683533)], [[[170.0, 303.0], [332.0, 306.0], [331.0, 331.0], [169.0, 328.0]], ('Restaurant 188', 0.9679146409034729)], [[[166.0, 331.0], [600.0, 317.0], [601.0, 350.0], [167.0, 363.0]], ('#CDE 152-CSE 04-27/04/2015 13:22:14', 0.9349503517150879)], [[[166.0, 384.0], [319.0, 384.0], [319.0, 409.0], [166.0, 409.0]], ('QTEPRODUIT', 0.9920971989631653)], [[[474.0, 381.0], [528.0, 378.0], [530.0, 405.0], [475.0, 408.0]], ('UNIT', 0.9982494115829468)], [[[547.0, 378.0], [610.0, 373.0], [612.0, 399.0], [549.0, 404.0]], ('TOTAL', 0.9983895421028137)], [[[177.0, 414.0], [383.0, 412.0], [384.0, 434.0], [177.0, 435.0]], ('1 The Glace BestOf', 0.8927074074745178)], [[[474.0, 409.0], [527.0, 406.0], [529.0, 433.0], [475.0, 436.0]], ('0.00', 0.9966385364532471)], [[[558.0, 405.0], [613.0, 401.0], [615.0, 428.0], [560.0, 432.0]], ('0.00', 0.9975494146347046)], [[[475.0, 437.0], [527.0, 434.0], [529.0, 461.0], [476.0, 464.0]], ('6.80', 0.9960309267044067)], [[[561.0, 431.0], [616.0, 431.0], [616.0, 458.0], [561.0, 458.0]], ('6.80', 0.9955023527145386)], [[[176.0, 442.0], [315.0, 442.0], [315.0, 464.0], [176.0, 464.0]], ('1 BO Big Mac', 0.8768613934516907)], [[[172.0, 468.0], [258.0, 468.0], [258.0, 493.0], [172.0, 493.0]], ('1 Filet', 0.9281377792358398)], [[[478.0, 466.0], [528.0, 466.0], [528.0, 490.0], [478.0, 490.0]], ('4.00', 0.9963464736938477)], [[[562.0, 459.0], [616.0, 459.0], [616.0, 486.0], [562.0, 486.0]], ('4.00', 0.9957520961761475)], [[[173.0, 496.0], [383.0, 498.0], [382.0, 520.0], [173.0, 518.0]], ('1 Chicken 20 Nugge', 0.9271440505981445)], [[[477.0, 493.0], [531.0, 493.0], [531.0, 520.0], [477.0, 520.0]], ('9.20', 0.9960120916366577)], [[[560.0, 490.0], [616.0, 487.0], [617.0, 514.0], [561.0, 517.0]], ('9.20', 0.9934767484664917)], [[[173.0, 525.0], [346.0, 525.0], [346.0, 547.0], [173.0, 547.0]], ('1 Frite Best Of', 0.92239910364151)], [[[476.0, 522.0], [531.0, 522.0], [531.0, 549.0], [476.0, 549.0]], ('0.00', 0.9970887899398804)], [[[561.0, 519.0], [617.0, 516.0], [618.0, 543.0], [562.0, 546.0]], ('0.00', 0.9975489377975464)], [[[157.0, 581.0], [465.0, 582.0], [464.0, 607.0], [157.0, 606.0]], ('Tota1 Sur Place TVA INCL', 0.9081996083259583)], [[[549.0, 578.0], [620.0, 576.0], [621.0, 606.0], [551.0, 609.0]], ('20.00', 0.9945371747016907)], [[[553.0, 610.0], [621.0, 610.0], [621.0, 638.0], [553.0, 638.0]], ('50.00', 0.9953740835189819)], [[[148.0, 637.0], [218.0, 640.0], [216.0, 670.0], [147.0, 667.0]], ('Rendu', 0.9981065988540649)], [[[554.0, 643.0], [623.0, 643.0], [623.0, 669.0], [554.0, 669.0]], ('30.00', 0.9962283372879028)], [[[146.0, 701.0], [176.0, 701.0], [176.0, 728.0], [146.0, 728.0]], ('02', 0.9970345497131348)], [[[210.0, 703.0], [533.0, 705.0], [533.0, 727.0], [210.0, 725.0]], ('20.00 TVA A 10.00%INCL=', 0.8883944153785706)], [[[568.0, 706.0], [625.0, 706.0], [625.0, 734.0], [568.0, 734.0]], ('1.82', 0.994933545589447)], [[[244.0, 764.0], [506.0, 768.0], [506.0, 793.0], [244.0, 789.0]], ('Merci de votre visite', 0.9476265907287598)], [[[329.0, 799.0], [445.0, 799.0], [445.0, 825.0], [329.0, 825.0]], ('A bientot', 0.9522435665130615)], [[[190.0, 827.0], [562.0, 837.0], [561.0, 866.0], [189.0, 856.0]], ('Biere soumise a TVA de 20.00%', 0.9383350014686584)], [[[213.0, 895.0], [482.0, 900.0], [481.0, 928.0], [213.0, 923.0]], ('Code Porte Toilettes:', 0.9329792857170105)], [[[212.0, 929.0], [483.0, 937.0], [482.0, 965.0], [211.0, 957.0]], ('For the washing room:', 0.9431599974632263)], [[[299.0, 963.0], [382.0, 966.0], [381.0, 996.0], [298.0, 993.0]], ('A7836B', 0.9922237396240234)]]	{"store_name": "RestaurantMcDonald'sVersailesManege", "store_addr": "10.AvduGeneraldeGaulle 78000VERSAILLES", "telephone": "01.39.02.36.03", "date": "27/04/2015", "time": "13:22:14", "subtotal": "", "tax": "1.82", "total": "20.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TheGlaceBestOf", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BOBigMac", "item_value": "6.80", "item_quantity": "1"}, {"item_key": "", "item_name": "Filet", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Chicken20Nugge", "item_value": "9.20", "item_quantity": "1"}, {"item_key": "", "item_name": "FriteBestOf", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "PRODUIT", "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	[[[[682.0, 86.0], [1269.0, 115.0], [1264.0, 221.0], [676.0, 192.0]], ('TARGET', 0.9974784255027771)], [[[697.0, 190.0], [1273.0, 213.0], [1270.0, 277.0], [694.0, 254.0]], ('EXPECT MORE.PAY LESS:', 0.9309512376785278)], [[[460.0, 350.0], [1252.0, 333.0], [1253.0, 396.0], [461.0, 414.0]], ('RENT0N-425-207-0067', 0.9532153606414795)], [[[38.0, 782.0], [679.0, 765.0], [681.0, 821.0], [39.0, 839.0]], ('CLEANING SUPPLIES', 0.9815533757209778)], [[[1224.0, 819.0], [1272.0, 819.0], [1272.0, 886.0], [1224.0, 886.0]], ('T', 0.9337112903594971)], [[[1423.0, 817.0], [1634.0, 817.0], [1634.0, 886.0], [1423.0, 886.0]], ('$2.03', 0.9957324266433716)], [[[601.0, 832.0], [1058.0, 824.0], [1059.0, 888.0], [602.0, 895.0]], ('PUREX CRYSTL', 0.9561639428138733)], [[[31.0, 846.0], [375.0, 838.0], [377.0, 902.0], [32.0, 910.0]], ('003070692', 0.9988982081413269)], [[[1426.0, 890.0], [1670.0, 890.0], [1670.0, 959.0], [1426.0, 959.0]], ('$2.00-', 0.9824385046958923)], [[[603.0, 902.0], [993.0, 895.0], [995.0, 958.0], [605.0, 966.0]], ('MFR COUPON', 0.953032374382019)], [[[26.0, 914.0], [486.0, 906.0], [487.0, 970.0], [27.0, 978.0]], ('524200613827', 0.9990139007568359)], [[[599.0, 976.0], [1468.0, 963.0], [1469.0, 1029.0], [600.0, 1042.0]], ('Coupon $0.96 off $2.99', 0.9466715455055237)], [[[12.0, 1122.0], [915.0, 1112.0], [915.0, 1176.0], [12.0, 1186.0]], ('HEALTH-BEAUTY-COSMETICS', 0.9918946623802185)], [[[594.0, 1188.0], [994.0, 1183.0], [995.0, 1249.0], [595.0, 1254.0]], ('NAIL COLOR', 0.9469459652900696)], [[[1227.0, 1183.0], [1275.0, 1176.0], [1286.0, 1247.0], [1238.0, 1254.0]], ('T', 0.989048182964325)], [[[1440.0, 1181.0], [1648.0, 1181.0], [1648.0, 1249.0], [1440.0, 1249.0]], ('$0.97', 0.9980473518371582)], [[[7.0, 1193.0], [362.0, 1193.0], [362.0, 1256.0], [7.0, 1256.0]], ('052031272', 0.9993041157722473)], [[[1440.0, 1249.0], [1653.0, 1249.0], [1653.0, 1325.0], [1440.0, 1325.0]], ('$0.97', 0.9952623248100281)], [[[5.0, 1263.0], [357.0, 1263.0], [357.0, 1327.0], [5.0, 1327.0]], ('052033419', 0.9988142848014832)], [[[597.0, 1261.0], [997.0, 1261.0], [997.0, 1327.0], [597.0, 1327.0]], ('NAIL COLOR', 0.9512037038803101)], [[[1241.0, 1259.0], [1279.0, 1259.0], [1279.0, 1322.0], [1241.0, 1322.0]], ('T', 0.5018981099128723)], [[[3.0, 1334.0], [353.0, 1339.0], [351.0, 1405.0], [2.0, 1400.0]], ('052060106', 0.9976708292961121)], [[[594.0, 1334.0], [879.0, 1334.0], [879.0, 1400.0], [594.0, 1400.0]], ('CLIPPER', 0.9981321692466736)], [[[1239.0, 1332.0], [1287.0, 1332.0], [1287.0, 1400.0], [1239.0, 1400.0]], ('T', 0.9872372150421143)], [[[1445.0, 1325.0], [1658.0, 1325.0], [1658.0, 1403.0], [1445.0, 1403.0]], ('$2.24', 0.9933168292045593)], [[[5.0, 1412.0], [347.0, 1412.0], [347.0, 1478.0], [5.0, 1478.0]], ('052060117', 0.9960339069366455)], [[[587.0, 1405.0], [955.0, 1400.0], [956.0, 1473.0], [588.0, 1479.0]], ('NAIL FILE', 0.952141523361206)], [[[1241.0, 1403.0], [1287.0, 1403.0], [1287.0, 1474.0], [1241.0, 1474.0]], ('I', 0.7211989164352417)], [[[1447.0, 1403.0], [1663.0, 1403.0], [1663.0, 1481.0], [1447.0, 1481.0]], ('$1.29', 0.9967783689498901)], [[[0.0, 1554.0], [149.0, 1554.0], [149.0, 1636.0], [0.0, 1636.0]], ('HISC', 0.815843939781189)], [[[1.0, 1636.0], [338.0, 1642.0], [337.0, 1708.0], [0.0, 1702.0]], ('34070586', 0.9984534978866577)], [[[589.0, 1641.0], [1076.0, 1641.0], [1076.0, 1705.0], [589.0, 1705.0]], ('PEDICURE SET', 0.9593484401702881)], [[[1248.0, 1639.0], [1296.0, 1639.0], [1296.0, 1710.0], [1248.0, 1710.0]], ('T', 0.8456835150718689)], [[[1454.0, 1637.0], [1683.0, 1631.0], [1685.0, 1709.0], [1456.0, 1715.0]], ('$1.00', 0.9983178973197937)], [[[8.0, 1717.0], [455.0, 1722.0], [455.0, 1788.0], [7.0, 1783.0]], ('00997500748', 0.9986937046051025)], [[[587.0, 1722.0], [1001.0, 1722.0], [1001.0, 1788.0], [587.0, 1788.0]], ('MFR COUPON', 0.9334940910339355)], [[[1461.0, 1717.0], [1717.0, 1712.0], [1718.0, 1787.0], [1463.0, 1793.0]], ('$5.00-', 0.987424910068512)], [[[8.0, 1797.0], [453.0, 1802.0], [452.0, 1868.0], [7.0, 1863.0]], ('74170600365', 0.9982868432998657)], [[[580.0, 1799.0], [1004.0, 1799.0], [1004.0, 1873.0], [580.0, 1873.0]], ('MFR COUPON', 0.9587745666503906)], [[[1466.0, 1798.0], [1724.0, 1792.0], [1726.0, 1874.0], [1468.0, 1880.0]], ('$1.50-', 0.9900111556053162)], [[[963.0, 1962.0], [1299.0, 1962.0], [1299.0, 2036.0], [963.0, 2036.0]], ('SUBTOTAL', 0.9975117444992065)], [[[1473.0, 1958.0], [1702.0, 1952.0], [1704.0, 2035.0], [1475.0, 2041.0]], ('$0.00', 0.9986173510551453)], [[[23.0, 2033.0], [456.0, 2046.0], [454.0, 2119.0], [21.0, 2106.0]], ('T=WA TAX', 0.9377520084381104)], [[[428.0, 2037.0], [971.0, 2053.0], [969.0, 2126.0], [426.0, 2111.0]], ('9.5000% on', 0.9521519541740417)], [[[1082.0, 2046.0], [1311.0, 2040.0], [1314.0, 2118.0], [1084.0, 2124.0]], ('$8.50', 0.9971684217453003)], [[[1481.0, 2043.0], [1706.0, 2043.0], [1706.0, 2121.0], [1481.0, 2121.0]], ('$0.81', 0.9981539845466614)], [[[570.0, 2132.0], [1308.0, 2132.0], [1308.0, 2206.0], [570.0, 2206.0]], ('MERCHANDISE TOTAL', 0.9667505621910095)], [[[1482.0, 2128.0], [1711.0, 2122.0], [1714.0, 2208.0], [1485.0, 2213.0]], ('$0.81', 0.9965556859970093)]]	{"store_name": "TARGET", "store_addr": "renton-", "telephone": "425-207-0067", "date": "04/04/2011", "time": "11:41AM", "subtotal": "$0.00", "tax": "$0.81", "total": "$0.81", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PUREXCRYSTL", "item_value": "$2.03", "item_quantity": "1"}, {"item_key": "", "item_name": "NAILCOLOR", "item_value": "$0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "NAILCOLOR", "item_value": "$0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "CLIPPER", "item_value": "$2.24", "item_quantity": "1"}, {"item_key": "", "item_name": "NAILFILE", "item_value": "$1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "PEDICURESET", "item_value": "$1.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[108.0, 20.0], [206.0, 22.0], [205.0, 47.0], [107.0, 45.0]], ('AU BON MARCHE', 0.9668869376182556)], [[[80.0, 59.0], [233.0, 61.0], [233.0, 77.0], [80.0, 75.0]], ('12.PLACE DU CHATELET', 0.9252071380615234)], [[[105.0, 75.0], [206.0, 77.0], [206.0, 95.0], [105.0, 92.0]], ('45000 ORLEANS', 0.9521976113319397)], [[[42.0, 104.0], [242.0, 109.0], [242.0, 126.0], [42.0, 121.0]], ('Date06/04/2016 -20:54', 0.9231550097465515)], [[[31.0, 122.0], [196.0, 128.0], [195.0, 146.0], [31.0, 140.0]], ('Table N:22Couverts:2', 0.9147573709487915)], [[[0.0, 160.0], [21.0, 160.0], [21.0, 177.0], [0.0, 177.0]], ('Ite', 0.8126524090766907)], [[[49.0, 161.0], [138.0, 161.0], [138.0, 178.0], [49.0, 178.0]], ('Designation', 0.9954386353492737)], [[[165.0, 162.0], [223.0, 162.0], [223.0, 179.0], [165.0, 179.0]], ('Px Unit', 0.9567686915397644)], [[[234.0, 163.0], [308.0, 163.0], [308.0, 180.0], [234.0, 180.0]], ('Total TTC', 0.9075639247894287)], [[[57.0, 198.0], [106.0, 198.0], [106.0, 213.0], [57.0, 213.0]], ('VIRGIN', 0.9979371428489685)], [[[201.0, 198.0], [237.0, 198.0], [237.0, 216.0], [201.0, 216.0]], ('6,80', 0.9191015362739563)], [[[262.0, 199.0], [299.0, 199.0], [299.0, 217.0], [262.0, 217.0]], ('6,80', 0.938906729221344)], [[[25.0, 215.0], [180.0, 216.0], [180.0, 233.0], [25.0, 232.0]], ('1375CL ORLEANS BL', 0.9371590614318848)], [[[194.0, 218.0], [235.0, 218.0], [235.0, 233.0], [194.0, 233.0]], ('11,60', 0.9167677760124207)], [[[257.0, 219.0], [296.0, 219.0], [296.0, 234.0], [257.0, 234.0]], ('11,60', 0.887945294380188)], [[[26.0, 234.0], [147.0, 233.0], [148.0, 250.0], [26.0, 251.0]], ('1CHATELDON 75C', 0.8833670616149902)], [[[200.0, 235.0], [235.0, 235.0], [235.0, 253.0], [200.0, 253.0]], ('6,90', 0.9248210191726685)], [[[261.0, 236.0], [296.0, 236.0], [296.0, 254.0], [261.0, 254.0]], ('6,90', 0.9355853796005249)], [[[27.0, 254.0], [180.0, 254.0], [180.0, 268.0], [27.0, 268.0]], ('1COCKTAIL MAISON 12', 0.952944278717041)], [[[200.0, 255.0], [234.0, 255.0], [234.0, 270.0], [200.0, 270.0]], ('6.80', 0.929510235786438)], [[[260.0, 254.0], [296.0, 254.0], [296.0, 272.0], [260.0, 272.0]], ('6,80', 0.8828659653663635)], [[[26.0, 271.0], [92.0, 271.0], [92.0, 288.0], [26.0, 288.0]], ('1TRUITE', 0.972011387348175)], [[[194.0, 271.0], [235.0, 271.0], [235.0, 289.0], [194.0, 289.0]], ('17.50', 0.9444023370742798)], [[[255.0, 272.0], [295.0, 272.0], [295.0, 290.0], [255.0, 290.0]], ('17,50', 0.9288042187690735)], [[[25.0, 290.0], [121.0, 288.0], [122.0, 305.0], [25.0, 308.0]], ('1 ST JACQUES', 0.9191100001335144)], [[[195.0, 289.0], [233.0, 289.0], [233.0, 307.0], [195.0, 307.0]], ('19.50', 0.9064439535140991)], [[[255.0, 290.0], [294.0, 290.0], [294.0, 308.0], [255.0, 308.0]], ('19,50', 0.9269858598709106)], [[[64.0, 307.0], [180.0, 306.0], [180.0, 323.0], [64.0, 324.0]], ('ASSIETTE DE FRO', 0.9360197186470032)], [[[198.0, 306.0], [233.0, 306.0], [233.0, 324.0], [198.0, 324.0]], ('8.50', 0.9102074503898621)], [[[259.0, 307.0], [294.0, 307.0], [294.0, 325.0], [259.0, 325.0]], ('8,50', 0.9287335276603699)], [[[28.0, 325.0], [133.0, 325.0], [133.0, 340.0], [28.0, 340.0]], ('1 BANANE PANEE', 0.9379286170005798)], [[[199.0, 324.0], [234.0, 324.0], [234.0, 343.0], [199.0, 343.0]], ('8,50', 0.9229433536529541)], [[[260.0, 325.0], [297.0, 325.0], [297.0, 344.0], [260.0, 344.0]], ('8,50', 0.9512336850166321)], [[[26.0, 345.0], [73.0, 345.0], [73.0, 360.0], [26.0, 360.0]], ('1 CAFE', 0.9077485203742981)], [[[201.0, 344.0], [236.0, 344.0], [236.0, 362.0], [201.0, 362.0]], ('1,90', 0.9151553511619568)], [[[263.0, 344.0], [298.0, 344.0], [298.0, 363.0], [263.0, 363.0]], ('1,90', 0.9517747759819031)], [[[2.0, 402.0], [165.0, 404.0], [164.0, 439.0], [2.0, 437.0]], ('ET TTC EUR', 0.9459365606307983)], [[[224.0, 403.0], [311.0, 403.0], [311.0, 440.0], [224.0, 440.0]], ('88,00', 0.9517766833305359)], [[[275.0, 439.0], [294.0, 439.0], [294.0, 449.0], [275.0, 449.0]], ('20', 0.992570161819458)]]	{"store_name": "AUBONMARCHE", "store_addr": "45000ORLEANS 12.PLACEDUCHATELET", "telephone": "", "date": "06/04/2016", "time": "-20:54", "subtotal": "88.00", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CAFE", "item_value": "1,90", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANEPANEE", "item_value": "8,50", "item_quantity": "1"}, {"item_key": "", "item_name": "ASSIETTEDEFRO", "item_value": "8,50", "item_quantity": "1"}, {"item_key": "", "item_name": "STJACQUES", "item_value": "19,50", "item_quantity": "1"}, {"item_key": "", "item_name": "TRUITE", "item_value": "17,50", "item_quantity": "1"}, {"item_key": "", "item_name": "COCKTAILMAISON12", "item_value": "6,80", "item_quantity": "1"}, {"item_key": "", "item_name": "CHATELDON75cl", "item_value": "6,90", "item_quantity": "1"}, {"item_key": "", "item_name": "37,5CLORLEANSBL", "item_value": "11,60", "item_quantity": "1"}, {"item_key": "", "item_name": "VIRGIN", "item_value": "6,80", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[601.0, 881.0], [1380.0, 877.0], [1381.0, 938.0], [602.0, 942.0]], ('GSDELICHCT', 0.682066023349762)], [[[615.0, 959.0], [1356.0, 952.0], [1356.0, 1010.0], [616.0, 1017.0]], ('ASSHI HOUSE.CHANAKTAPURL', 0.7348363995552063)], [[[723.0, 1030.0], [1245.0, 1030.0], [1245.0, 1088.0], [723.0, 1088.0]], ('TIN..07200427067', 0.8345435857772827)], [[[1765.0, 1164.0], [1962.0, 1155.0], [1966.0, 1226.0], [1769.0, 1235.0]], ('DF', 0.7213152647018433)], [[[835.0, 1258.0], [1102.0, 1258.0], [1102.0, 1319.0], [835.0, 1319.0]], ('KUT50', 0.6860123872756958)], [[[1245.0, 1255.0], [1440.0, 1255.0], [1440.0, 1316.0], [1245.0, 1316.0]], ('CUR OL', 0.7595994472503662)], [[[1612.0, 1252.0], [1945.0, 1237.0], [1948.0, 1308.0], [1616.0, 1324.0]], ('TER0', 0.6713569760322571)], [[[292.0, 1272.0], [529.0, 1272.0], [529.0, 1329.0], [292.0, 1329.0]], ('THHEA', 0.664321780204773)], [[[501.0, 1265.0], [654.0, 1265.0], [654.0, 1326.0], [501.0, 1326.0]], ('STOn', 0.576762318611145)], [[[1564.0, 1334.0], [2116.0, 1311.0], [2119.0, 1380.0], [1567.0, 1402.0]], ('DATE-18-05-2014', 0.742311418056488)], [[[744.0, 1347.0], [1223.0, 1336.0], [1224.0, 1394.0], [745.0, 1405.0]], ('TPE-0480507', 0.7102017998695374)], [[[54.0, 1361.0], [355.0, 1345.0], [359.0, 1417.0], [58.0, 1433.0]], ('N0007', 0.5965448617935181)], [[[1606.0, 1493.0], [1760.0, 1493.0], [1760.0, 1567.0], [1606.0, 1567.0]], ('RATE', 0.9846540689468384)], [[[1933.0, 1486.0], [2145.0, 1486.0], [2145.0, 1561.0], [1933.0, 1561.0]], ("A'LLUNT", 0.6839905381202698)], [[[1318.0, 1499.0], [1433.0, 1499.0], [1433.0, 1567.0], [1318.0, 1567.0]], ('QIT', 0.5626125335693359)], [[[45.0, 1533.0], [129.0, 1533.0], [129.0, 1612.0], [45.0, 1612.0]], ('ND', 0.5161399841308594)], [[[278.0, 1530.0], [421.0, 1530.0], [421.0, 1595.0], [278.0, 1595.0]], ('LOLE', 0.722017228603363)], [[[468.0, 1524.0], [840.0, 1509.0], [842.0, 1577.0], [471.0, 1592.0]], ('DESURIPTION', 0.7839611172676086)], [[[1290.0, 1581.0], [1436.0, 1581.0], [1436.0, 1656.0], [1290.0, 1656.0]], ('1.w0', 0.7219454050064087)], [[[1970.0, 1576.0], [2155.0, 1563.0], [2161.0, 1637.0], [1976.0, 1650.0]], ('0.00', 0.748130202293396)], [[[341.0, 1618.0], [480.0, 1618.0], [480.0, 1683.0], [341.0, 1683.0]], ('6', 0.5613006353378296)], [[[1292.0, 1674.0], [1439.0, 1665.0], [1445.0, 1743.0], [1297.0, 1752.0]], ('1.00', 0.8565958738327026)], [[[341.0, 1707.0], [487.0, 1707.0], [487.0, 1771.0], [341.0, 1771.0]], ('13', 0.8532096147537231)], [[[451.0, 1704.0], [839.0, 1685.0], [843.0, 1757.0], [455.0, 1776.0]], ('BURHLIFISH', 0.6247379779815674)], [[[1560.0, 1759.0], [1775.0, 1750.0], [1778.0, 1825.0], [1563.0, 1833.0]], ('200.00', 0.6936209201812744)], [[[1292.0, 1763.0], [1439.0, 1753.0], [1445.0, 1831.0], [1297.0, 1841.0]], ('1.00', 0.9350512623786926)], [[[322.0, 1796.0], [989.0, 1771.0], [992.0, 1849.0], [325.0, 1874.0]], ('40 DCK IEATELK.', 0.7130353450775146)], [[[2005.0, 1840.0], [2192.0, 1832.0], [2195.0, 1906.0], [2009.0, 1915.0]], ('60.00', 0.804985523223877)], [[[1299.0, 1858.0], [1450.0, 1848.0], [1455.0, 1926.0], [1304.0, 1936.0]], ('OT', 0.7213881015777588)], [[[1605.0, 1851.0], [1783.0, 1838.0], [1789.0, 1916.0], [1611.0, 1929.0]], ('00.00', 0.8064922094345093)], [[[344.0, 1884.0], [777.0, 1873.0], [780.0, 1954.0], [346.0, 1966.0]], ('3JA RICE', 0.6799731254577637)], [[[1300.0, 1948.0], [1454.0, 1948.0], [1454.0, 2026.0], [1300.0, 2026.0]], ('1.00', 0.5574862957000732)], [[[1991.0, 2027.0], [2220.0, 2019.0], [2223.0, 2104.0], [1995.0, 2112.0]], ('210.00', 0.8966824412345886)], [[[1311.0, 2050.0], [1460.0, 2050.0], [1460.0, 2125.0], [1311.0, 2125.0]], ('1.00', 0.8837873339653015)], [[[316.0, 2085.0], [968.0, 2063.0], [971.0, 2134.0], [318.0, 2156.0]], ('44 PURK.WLAI SMK', 0.6025179624557495)], [[[1307.0, 2149.0], [1460.0, 2149.0], [1460.0, 2227.0], [1307.0, 2227.0]], ('1.00', 0.9418256878852844)], [[[302.0, 2180.0], [627.0, 2168.0], [630.0, 2253.0], [305.0, 2265.0]], ('70KEER', 0.5918152332305908)], [[[1842.0, 2235.0], [2210.0, 2223.0], [2212.0, 2304.0], [1845.0, 2316.0]], ('850.00', 0.9845045208930969)], [[[1122.0, 2255.0], [1490.0, 2243.0], [1493.0, 2325.0], [1125.0, 2337.0]], ('Q=7.00', 0.9834375977516174)], [[[531.0, 2276.0], [891.0, 2260.0], [895.0, 2341.0], [535.0, 2357.0]], ('ITri=7', 0.767723798751831)], [[[3.0, 2292.0], [412.0, 2281.0], [415.0, 2362.0], [5.0, 2374.0]], ('SUBTOT', 0.9063379168510437)], [[[2033.0, 2439.0], [2263.0, 2426.0], [2269.0, 2515.0], [2038.0, 2528.0]], ('105.75', 0.9701622128486633)], [[[1004.0, 2466.0], [1236.0, 2457.0], [1239.0, 2542.0], [1007.0, 2551.0]], ("O'00R", 0.5251067280769348)], [[[406.0, 2482.0], [851.0, 2475.0], [852.0, 2556.0], [408.0, 2564.0]], ('912.50A 0', 0.5762192010879517)], [[[0.0, 2492.0], [118.0, 2492.0], [118.0, 2577.0], [0.0, 2577.0]], ('VAT', 0.9731886982917786)], [[[1032.0, 2568.0], [1231.0, 2559.0], [1236.0, 2647.0], [1036.0, 2657.0]], ('20.00', 0.6835070848464966)], [[[0.0, 2598.0], [385.0, 2590.0], [387.0, 2672.0], [0.0, 2680.0]], ('MN TSAALE', 0.7339564561843872)], [[[705.0, 2683.0], [1017.0, 2675.0], [1020.0, 2757.0], [707.0, 2765.0]], ('(RULNDED)', 0.8205498456954956)], [[[10.0, 2696.0], [219.0, 2696.0], [219.0, 2771.0], [10.0, 2771.0]], ('KL.TUT', 0.7149774432182312)], [[[21.0, 2798.0], [348.0, 2798.0], [348.0, 2859.0], [21.0, 2859.0]], ('TOH', 0.5589854121208191)], [[[31.0, 2883.0], [247.0, 2883.0], [247.0, 2955.0], [31.0, 2955.0]], ('KUT-D', 0.5634598135948181)], [[[500.0, 2884.0], [861.0, 2876.0], [863.0, 2944.0], [502.0, 2952.0]], ('wi6 o0i0', 0.5798428058624268)], [[[35.0, 2965.0], [793.0, 2968.0], [793.0, 3036.0], [35.0, 3033.0]], ('HHE A NILE DAT-THHNKS', 0.771226704120636)], [[[1516.0, 3040.0], [1770.0, 3040.0], [1770.0, 3111.0], [1516.0, 3111.0]], ('iVC M.', 0.5559101700782776)]]	{"store_name": "GAMSDELICACY", "store_addr": "", "telephone": "MOB.NO:-9650788130", "date": "18-05-2014", "time": "04:05:09", "subtotal": "850.00 830.00", "tax": "103.75", "total": "954.00 954.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "56MINRALWATER", "item_value": "30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "9POTATOFRY", "item_value": "210.00", "item_quantity": "1"}, {"item_key": "", "item_name": "3JOHARICE", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "13BORALIFISH", "item_value": "60.00", "item_quantity": "1"}, {"item_key": "", "item_name": "44PORK.W.LAISHAK", "item_value": "280.00", "item_quantity": "1"}, {"item_key": "", "item_name": "98KHEER", "item_value": "200.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "DESCRIPTION", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[112.0, 194.0], [406.0, 178.0], [407.0, 206.0], [113.0, 222.0]], ('COMMERCIAL PROPANE', 0.9833750128746033)], [[[162.0, 227.0], [356.0, 217.0], [358.0, 246.0], [164.0, 256.0]], ('801_568_0923', 0.9521661400794983)], [[[165.0, 263.0], [358.0, 255.0], [360.0, 283.0], [167.0, 291.0]], ('8750S300W', 0.9563930034637451)], [[[184.0, 296.0], [344.0, 290.0], [345.0, 318.0], [185.0, 324.0]], ('SANDY UTAH', 0.965785801410675)], [[[90.0, 359.0], [165.0, 356.0], [166.0, 386.0], [91.0, 389.0]], ('16:48', 0.9705127477645874)], [[[267.0, 354.0], [423.0, 348.0], [424.0, 376.0], [268.0, 382.0]], ('06-16-2015', 0.989780068397522)], [[[358.0, 380.0], [424.0, 380.0], [424.0, 410.0], [358.0, 410.0]], ('0990', 0.9993399381637573)], [[[111.0, 421.0], [184.0, 421.0], [184.0, 448.0], [111.0, 448.0]], ('10.7x', 0.9397522807121277)], [[[344.0, 413.0], [423.0, 410.0], [424.0, 440.0], [345.0, 443.0]], ('@2.53', 0.9777889251708984)], [[[90.0, 452.0], [211.0, 450.0], [211.0, 476.0], [91.0, 478.0]], ('DEPT#001', 0.993466854095459)], [[[330.0, 447.0], [450.0, 443.0], [451.0, 469.0], [331.0, 473.0]], ('$27.07T1', 0.9622195363044739)], [[[85.0, 508.0], [202.0, 505.0], [203.0, 530.0], [86.0, 534.0]], ('SUBTOTAL', 0.9967367649078369)], [[[331.0, 500.0], [427.0, 497.0], [427.0, 523.0], [332.0, 526.0]], ('$27.07', 0.964367687702179)], [[[83.0, 538.0], [223.0, 532.0], [224.0, 560.0], [84.0, 566.0]], ('TOTAL-TAX', 0.9835567474365234)], [[[348.0, 530.0], [431.0, 527.0], [432.0, 553.0], [348.0, 556.0]], ('$1.85', 0.9811650514602661)], [[[81.0, 602.0], [231.0, 598.0], [232.0, 627.0], [82.0, 631.0]], ('TOTAL', 0.9970952868461609)], [[[334.0, 594.0], [436.0, 590.0], [437.0, 619.0], [335.0, 623.0]], ('$28.92', 0.9954596161842346)], [[[76.0, 636.0], [174.0, 633.0], [175.0, 665.0], [77.0, 668.0]], ('CHARGE', 0.9984586238861084)], [[[335.0, 628.0], [439.0, 626.0], [440.0, 656.0], [336.0, 658.0]], ('$28.92', 0.9963199496269226)], [[[156.0, 707.0], [406.0, 700.0], [407.0, 728.0], [157.0, 735.0]], ('HAVE A NICE DAY', 0.9186431169509888)], [[[459.0, 703.0], [476.0, 703.0], [476.0, 726.0], [459.0, 726.0]], ('/', 0.6601371169090271)], [[[141.0, 744.0], [428.0, 739.0], [428.0, 768.0], [141.0, 773.0]], ('PLEASE COME AGAIN', 0.9585832953453064)]]	{"store_name": "", "store_addr": "8750S300W SANDYUTAH", "telephone": "801_568_0923", "date": "06-16-2015", "time": "16:48", "subtotal": "$27.07T1 $27.07", "tax": "$1.85", "total": "$28.92 $28.92", "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	[[[[248.0, 65.0], [401.0, 65.0], [401.0, 84.0], [248.0, 84.0]], ('SHOPNAME', 0.9967625141143799)], [[[221.0, 88.0], [426.0, 88.0], [426.0, 101.0], [221.0, 101.0]], ('Address:Lorem Ipsum,23-10', 0.9269860982894897)], [[[270.0, 103.0], [378.0, 103.0], [378.0, 116.0], [270.0, 116.0]], ('Tep.11223344', 0.9920681118965149)], [[[260.0, 153.0], [389.0, 153.0], [389.0, 166.0], [260.0, 166.0]], ('CASHRECEIPT', 0.99013751745224)], [[[183.0, 178.0], [372.0, 178.0], [372.0, 188.0], [183.0, 188.0]], ('**************', 0.6683213114738464)], [[[179.0, 195.0], [264.0, 195.0], [264.0, 208.0], [179.0, 208.0]], ('Description', 0.9975525140762329)], [[[432.0, 194.0], [470.0, 194.0], [470.0, 208.0], [432.0, 208.0]], ('Price', 0.9979157447814941)], [[[178.0, 209.0], [224.0, 211.0], [224.0, 225.0], [177.0, 223.0]], ('Lorem', 0.9975312948226929)], [[[448.0, 209.0], [470.0, 209.0], [470.0, 225.0], [448.0, 225.0]], ('1.1', 0.9917581081390381)], [[[178.0, 226.0], [223.0, 226.0], [223.0, 241.0], [178.0, 241.0]], ('Ipsum', 0.9783917665481567)], [[[448.0, 225.0], [470.0, 225.0], [470.0, 241.0], [448.0, 241.0]], ('2.2', 0.9946828484535217)], [[[179.0, 243.0], [280.0, 243.0], [280.0, 256.0], [179.0, 256.0]], ('Dolor sit amet', 0.9718438386917114)], [[[448.0, 241.0], [471.0, 241.0], [471.0, 256.0], [448.0, 256.0]], ('3.3', 0.994926929473877)], [[[179.0, 258.0], [264.0, 258.0], [264.0, 272.0], [179.0, 272.0]], ('Consectetur', 0.9972856044769287)], [[[448.0, 257.0], [471.0, 257.0], [471.0, 272.0], [448.0, 272.0]], ('4.4', 0.9845635294914246)], [[[179.0, 275.0], [279.0, 275.0], [279.0, 289.0], [179.0, 289.0]], ('Adipiscing elit', 0.9758637547492981)], [[[448.0, 273.0], [471.0, 273.0], [471.0, 289.0], [448.0, 289.0]], ('5.5', 0.9930177330970764)], [[[177.0, 316.0], [240.0, 316.0], [240.0, 336.0], [177.0, 336.0]], ('Total', 0.9984029531478882)], [[[425.0, 317.0], [470.0, 317.0], [470.0, 335.0], [425.0, 335.0]], ('16.5', 0.9978680610656738)], [[[179.0, 337.0], [214.0, 337.0], [214.0, 352.0], [179.0, 352.0]], ('Cash', 0.9966733455657959)], [[[439.0, 337.0], [470.0, 337.0], [470.0, 352.0], [439.0, 352.0]], ('20.0', 0.9969432950019836)], [[[179.0, 352.0], [231.0, 355.0], [230.0, 370.0], [178.0, 367.0]], ('Change', 0.9982340335845947)], [[[447.0, 353.0], [471.0, 353.0], [471.0, 369.0], [447.0, 369.0]], ('3.5', 0.976756751537323)], [[[177.0, 392.0], [250.0, 390.0], [251.0, 407.0], [177.0, 409.0]], ('Bank card', 0.9580225348472595)], [[[441.0, 393.0], [470.0, 393.0], [470.0, 407.0], [441.0, 407.0]], ('234', 0.994764506816864)], [[[179.0, 410.0], [281.0, 410.0], [281.0, 424.0], [179.0, 424.0]], ('Approval Code', 0.9295462369918823)], [[[410.0, 409.0], [470.0, 409.0], [470.0, 423.0], [410.0, 423.0]], ('#123456', 0.9946256875991821)], [[[275.0, 453.0], [375.0, 453.0], [375.0, 467.0], [275.0, 467.0]], ('THANK YOU!', 0.9450961947441101)], [[[222.0, 579.0], [402.0, 578.0], [402.0, 599.0], [222.0, 600.0]], ('designed by@freepik', 0.9646644592285156)]]	{"store_name": "SHOPNAME", "store_addr": "Address:LoremIpsum,23-10", "telephone": "11223344", "date": "", "time": "", "subtotal": "", "tax": "", "total": "16.5", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Lorem", "item_value": "1.1", "item_quantity": "1"}, {"item_key": "", "item_name": "Ipsum", "item_value": "2.2", "item_quantity": "1"}, {"item_key": "", "item_name": "Dolorsitamet", "item_value": "3.3", "item_quantity": "1"}, {"item_key": "", "item_name": "Consectetur", "item_value": "4.4", "item_quantity": "1"}, {"item_key": "", "item_name": "Adipiscingelit", "item_value": "5.5", "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	[[[[49.0, 1.0], [132.0, 2.0], [132.0, 13.0], [49.0, 12.0]], ('Cumberland Farms', 0.9471641778945923)], [[[73.0, 12.0], [162.0, 12.0], [162.0, 21.0], [73.0, 21.0]], ('498 COUNTY ROAD 111', 0.8987535238265991)], [[[75.0, 21.0], [165.0, 21.0], [165.0, 31.0], [75.0, 31.0]], ('MANORVILLE NY 1194', 0.9433944225311279)], [[[9.0, 40.0], [32.0, 40.0], [32.0, 52.0], [9.0, 52.0]], ('COPY', 0.9888344407081604)], [[[75.0, 31.0], [120.0, 31.0], [120.0, 42.0], [75.0, 42.0]], ('1682-3264', 0.9949493408203125)], [[[9.0, 51.0], [45.0, 51.0], [45.0, 62.0], [9.0, 62.0]], ('Receipt', 0.996545135974884)], [[[74.0, 51.0], [109.0, 51.0], [109.0, 61.0], [74.0, 61.0]], ('2129507', 0.9949425458908081)], [[[5.0, 91.0], [44.0, 91.0], [44.0, 101.0], [5.0, 101.0]], ('Qty Name', 0.9534311294555664)], [[[147.0, 88.0], [174.0, 90.0], [173.0, 102.0], [146.0, 99.0]], ('Price', 0.9964134097099304)], [[[202.0, 90.0], [230.0, 90.0], [230.0, 101.0], [202.0, 101.0]], ('Total', 0.9963995218276978)], [[[16.0, 111.0], [20.0, 111.0], [20.0, 117.0], [16.0, 117.0]], ('-', 0.7782148122787476)], [[[33.0, 109.0], [123.0, 109.0], [123.0, 119.0], [33.0, 119.0]], ('200Z GATOR FRT PNCH', 0.9006209969520569)], [[[152.0, 108.0], [174.0, 108.0], [174.0, 120.0], [152.0, 120.0]], ('1.79', 0.9813859462738037)], [[[31.0, 118.0], [128.0, 118.0], [128.0, 131.0], [31.0, 131.0]], ('SPLASH-30 YEARND WN', 0.9360894560813904)], [[[206.0, 109.0], [230.0, 109.0], [230.0, 120.0], [206.0, 120.0]], ('1.79', 0.984227180480957)], [[[13.0, 122.0], [21.0, 118.0], [23.0, 125.0], [15.0, 128.0]], ('1', 0.7256961464881897)], [[[152.0, 119.0], [175.0, 119.0], [175.0, 131.0], [152.0, 131.0]], ('4.69', 0.9867585897445679)], [[[206.0, 117.0], [231.0, 120.0], [230.0, 131.0], [205.0, 129.0]], ('4.69', 0.9786652326583862)], [[[14.0, 130.0], [22.0, 130.0], [22.0, 138.0], [14.0, 138.0]], ('1', 0.9621788263320923)], [[[32.0, 129.0], [105.0, 129.0], [105.0, 140.0], [32.0, 140.0]], ('200Z POWER ORNG', 0.9190521836280823)], [[[150.0, 135.0], [176.0, 138.0], [174.0, 153.0], [149.0, 150.0]], ('1.79', 0.9881736636161804)], [[[151.0, 127.0], [175.0, 129.0], [173.0, 141.0], [150.0, 138.0]], ('1.69', 0.9822615385055542)], [[[206.0, 129.0], [231.0, 129.0], [231.0, 141.0], [206.0, 141.0]], ('1.69', 0.9854652285575867)], [[[13.0, 148.0], [116.0, 148.0], [116.0, 160.0], [13.0, 160.0]], ('1 PF SOFT SANTACRUZ 8', 0.9214679002761841)], [[[14.0, 139.0], [78.0, 139.0], [78.0, 149.0], [14.0, 149.0]], ('1CF HLK QT', 0.8381525278091431)], [[[152.0, 147.0], [175.0, 150.0], [174.0, 161.0], [151.0, 158.0]], ('3.49', 0.9826869368553162)], [[[206.0, 139.0], [230.0, 139.0], [230.0, 150.0], [206.0, 150.0]], ('1.79', 0.9928672909736633)], [[[206.0, 146.0], [230.0, 149.0], [229.0, 161.0], [205.0, 158.0]], ('3.49', 0.9912678003311157)], [[[4.0, 157.0], [46.0, 159.0], [45.0, 170.0], [4.0, 168.0]], ('Subtotal', 0.9947629570960999)], [[[4.0, 166.0], [100.0, 167.0], [100.0, 180.0], [4.0, 179.0]], ('State/Local Sales Ta', 0.965898334980011)], [[[198.0, 157.0], [226.0, 160.0], [225.0, 170.0], [197.0, 168.0]], ('13.45', 0.9929465055465698)], [[[167.0, 178.0], [194.0, 178.0], [194.0, 191.0], [167.0, 191.0]], ('14.15', 0.9818657636642456)], [[[202.0, 169.0], [225.0, 169.0], [225.0, 180.0], [202.0, 180.0]], ('0.70', 0.9891721606254578)], [[[4.0, 179.0], [31.0, 179.0], [31.0, 190.0], [4.0, 190.0]], ('Total', 0.9918481707572937)], [[[4.0, 189.0], [46.0, 189.0], [46.0, 198.0], [4.0, 198.0]], ('Received', 0.9948056936264038)], [[[12.0, 198.0], [63.0, 198.0], [63.0, 208.0], [12.0, 208.0]], ('MasterCard', 0.9941728711128235)], [[[139.0, 207.0], [169.0, 207.0], [169.0, 218.0], [139.0, 218.0]], ('SWIPED', 0.96006840467453)], [[[199.0, 198.0], [225.0, 198.0], [225.0, 209.0], [199.0, 209.0]], ('14.15', 0.9537192583084106)], [[[5.0, 208.0], [101.0, 208.0], [101.0, 218.0], [5.0, 218.0]], ('ACCxXXXXXXXX896', 0.7172284722328186)], [[[14.0, 218.0], [111.0, 218.0], [111.0, 228.0], [14.0, 228.0]], ('Apv 00771Z 5648446787', 0.9114442467689514)], [[[5.0, 237.0], [48.0, 237.0], [48.0, 247.0], [5.0, 247.0]], ('APPROVED', 0.9921573400497437)], [[[14.0, 228.0], [63.0, 228.0], [63.0, 237.0], [14.0, 237.0]], ('REF 446787', 0.948235809803009)], [[[58.0, 237.0], [91.0, 237.0], [91.0, 247.0], [58.0, 247.0]], ('007712', 0.9732451438903809)], [[[22.0, 273.0], [110.0, 276.0], [109.0, 288.0], [22.0, 286.0]], ('TELL US HOWWE DID', 0.919310450553894)], [[[18.0, 286.0], [118.0, 286.0], [118.0, 296.0], [18.0, 296.0]], ('FOR A CHANIICE TO WIN', 0.9264048337936401)], [[[28.0, 335.0], [104.0, 335.0], [104.0, 345.0], [28.0, 345.0]], ('A $100 GIFT CARD', 0.8669711947441101)], [[[25.0, 362.0], [184.0, 365.0], [184.0, 377.0], [25.0, 375.0]], ('By corpleting an online survey at', 0.9405163526535034)], [[[19.0, 375.0], [197.0, 375.0], [197.0, 385.0], [19.0, 385.0]], ('http://guestsurvey.cuberlandfaras.com', 0.970557451248169)], [[[15.0, 385.0], [197.0, 385.0], [197.0, 395.0], [15.0, 395.0]], ('or by Paper Pamphlets Located in Stores', 0.9535061717033386)], [[[11.0, 434.0], [192.0, 434.0], [192.0, 444.0], [11.0, 444.0]], ('06/08/2017 10:32:45 P Pos:2 Cashier114', 0.893301784992218)], [[[49.0, 443.0], [178.0, 443.0], [178.0, 455.0], [49.0, 455.0]], ('We Appreciate Your Business', 0.9571189284324646)], [[[143.0, 452.0], [163.0, 452.0], [163.0, 464.0], [143.0, 464.0]], ('PH', 0.8357111215591431)]]	{"store_name": "", "store_addr": "498COUNTYROAD111 MANCRVILLE,NY1194", "telephone": "1682-3264", "date": "06/08/2017", "time": "10:32:45P", "subtotal": "13.45", "tax": "0.70", "total": "14.15 14.15", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "200ZGATORERTPNCH", "item_value": "1.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SPLASH-30YEARNDWN", "item_value": "4.69", "item_quantity": "1"}, {"item_key": "", "item_name": "CFHLKQT", "item_value": "1.69", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.79", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.49", "item_quantity": "1"}, {"item_key": "Name", "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	[[[[32.0, 172.0], [115.0, 167.0], [116.0, 180.0], [32.0, 185.0]], ('BREAD OF LIFE', 0.9353218674659729)], [[[30.0, 185.0], [174.0, 179.0], [175.0, 193.0], [30.0, 199.0]], ('Add04 Dong DaDanangVitnm', 0.8543727397918701)], [[[28.0, 197.0], [116.0, 194.0], [116.0, 207.0], [28.0, 210.0]], ('Tet05113565185', 0.9439854025840759)], [[[28.0, 208.0], [128.0, 205.0], [129.0, 219.0], [28.0, 223.0]], ('Taxcode0400482936', 0.9553437829017639)], [[[89.0, 221.0], [159.0, 218.0], [160.0, 235.0], [89.0, 238.0]], ('RECEIPT', 0.995899498462677)], [[[74.0, 240.0], [114.0, 240.0], [114.0, 251.0], [74.0, 251.0]], ('Date', 0.9798346757888794)], [[[116.0, 238.0], [166.0, 238.0], [166.0, 249.0], [116.0, 249.0]], ('21/03/2014', 0.9954153299331665)], [[[34.0, 256.0], [69.0, 256.0], [69.0, 270.0], [34.0, 270.0]], ('NO.', 0.7159099578857422)], [[[64.0, 254.0], [144.0, 252.0], [144.0, 265.0], [64.0, 267.0]], ('210314095511', 0.996501624584198)], [[[33.0, 268.0], [118.0, 266.0], [118.0, 280.0], [33.0, 282.0]], ('Table No A03', 0.9283583760261536)], [[[31.0, 281.0], [151.0, 278.0], [152.0, 292.0], [31.0, 295.0]], ('Cashler: Tran Thi Hoa', 0.8961243629455566)], [[[27.0, 296.0], [94.0, 293.0], [95.0, 307.0], [27.0, 311.0]], ('QtyPrice', 0.9575419425964355)], [[[93.0, 293.0], [172.0, 293.0], [172.0, 307.0], [93.0, 307.0]], ('Discount%', 0.9712693691253662)], [[[195.0, 290.0], [236.0, 288.0], [237.0, 302.0], [196.0, 305.0]], ('Amount', 0.9960412383079529)], [[[27.0, 308.0], [146.0, 305.0], [147.0, 322.0], [27.0, 326.0]], ('Bagel and Cream Cheese', 0.9551006555557251)], [[[28.0, 323.0], [99.0, 319.0], [100.0, 333.0], [28.0, 337.0]], ('145,000', 0.8860183358192444)], [[[140.0, 320.0], [149.0, 320.0], [149.0, 332.0], [140.0, 332.0]], ('0', 0.580376923084259)], [[[203.0, 314.0], [239.0, 314.0], [239.0, 330.0], [203.0, 330.0]], ('45,000', 0.9817406535148621)], [[[25.0, 336.0], [116.0, 335.0], [116.0, 349.0], [25.0, 350.0]], ('Muesli and Yogurt', 0.9395859241485596)], [[[29.0, 349.0], [100.0, 346.0], [101.0, 360.0], [29.0, 363.0]], ('171,000', 0.9204702973365784)], [[[140.0, 345.0], [152.0, 345.0], [152.0, 359.0], [140.0, 359.0]], ('0', 0.7377911806106567)], [[[204.0, 342.0], [243.0, 339.0], [244.0, 355.0], [205.0, 357.0]], ('71,000', 0.9733073115348816)], [[[22.0, 362.0], [106.0, 360.0], [106.0, 375.0], [22.0, 377.0]], ('VN Coffee -Milk', 0.9269369840621948)], [[[26.0, 377.0], [100.0, 373.0], [101.0, 387.0], [27.0, 392.0]], ('125,000', 0.9561200737953186)], [[[141.0, 373.0], [153.0, 373.0], [153.0, 387.0], [141.0, 387.0]], ('0', 0.7442029714584351)], [[[209.0, 369.0], [247.0, 369.0], [247.0, 384.0], [209.0, 384.0]], ('25,000', 0.9909625053405762)], [[[20.0, 392.0], [125.0, 389.0], [126.0, 404.0], [21.0, 408.0]], ('Water Joy)-Bottled', 0.9118926525115967)], [[[24.0, 407.0], [98.0, 401.0], [99.0, 418.0], [25.0, 424.0]], ('110,000', 0.9161554574966431)], [[[143.0, 403.0], [152.0, 403.0], [152.0, 415.0], [143.0, 415.0]], ('0', 0.7779498100280762)], [[[212.0, 398.0], [251.0, 398.0], [251.0, 414.0], [212.0, 414.0]], ('10,000', 0.989764928817749)], [[[43.0, 429.0], [101.0, 426.0], [102.0, 441.0], [44.0, 443.0]], ('Sub-total:.', 0.9260945916175842)], [[[207.0, 421.0], [253.0, 418.0], [254.0, 436.0], [208.0, 438.0]], ('151,000', 0.9851803183555603)], [[[43.0, 443.0], [96.0, 443.0], [96.0, 457.0], [43.0, 457.0]], ('VAT:', 0.9257599115371704)], [[[91.0, 441.0], [140.0, 439.0], [140.0, 453.0], [91.0, 455.0]], ('10%', 0.9944129586219788)], [[[213.0, 436.0], [255.0, 432.0], [256.0, 450.0], [214.0, 454.0]], ('15,100', 0.9759637713432312)], [[[42.0, 459.0], [139.0, 455.0], [139.0, 470.0], [43.0, 474.0]], ('Grand TotalVND', 0.9783163070678711)], [[[203.0, 452.0], [256.0, 450.0], [257.0, 467.0], [203.0, 469.0]], ('166,100', 0.9889302253723145)]]	{"store_name": "BREADOFLIFE", "store_addr": "Add:04DongDa,Danang,Vietnam", "telephone": "05113565185", "date": "21/03/2014", "time": "", "subtotal": "151,000", "tax": "15,100", "total": "166,100", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BagelandCreamCheese", "item_value": "45,000", "item_quantity": "1"}, {"item_key": "", "item_name": "MuesliandYogurt", "item_value": "71,000", "item_quantity": "1"}, {"item_key": "", "item_name": "VNCoffee-Milk", "item_value": "25,000", "item_quantity": "1"}, {"item_key": "", "item_name": "Water(Joy)-Bottled", "item_value": "10,000", "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	[[[[58.0, 131.0], [260.0, 124.0], [260.0, 137.0], [59.0, 144.0]], ('*****************', 0.7945577502250671)], [[[56.0, 144.0], [165.0, 140.0], [165.0, 155.0], [57.0, 158.0]], ('135TABLE73', 0.9417546391487122)], [[[57.0, 158.0], [249.0, 153.0], [250.0, 167.0], [57.0, 172.0]], ('KATHRINE S SvrCk69:43a 12/21/16', 0.9131043553352356)], [[[55.0, 185.0], [97.0, 183.0], [98.0, 198.0], [56.0, 200.0]], ('1WATER', 0.8610104918479919)], [[[242.0, 179.0], [268.0, 179.0], [268.0, 194.0], [242.0, 194.0]], ('0.00', 0.9966036081314087)], [[[58.0, 199.0], [89.0, 199.0], [89.0, 214.0], [58.0, 214.0]], ('10J', 0.864673912525177)], [[[244.0, 193.0], [269.0, 193.0], [269.0, 208.0], [244.0, 208.0]], ('3.89', 0.991998553276062)], [[[56.0, 214.0], [199.0, 209.0], [200.0, 223.0], [56.0, 228.0]], ("1 KIDS CAKES$kid's drink", 0.9221879839897156)], [[[70.0, 227.0], [220.0, 222.0], [220.0, 239.0], [70.0, 244.0]], ("kid's appleeggscrambled", 0.9548138380050659)], [[[246.0, 220.0], [270.0, 220.0], [270.0, 236.0], [246.0, 236.0]], ('5.99', 0.9905819296836853)], [[[56.0, 243.0], [147.0, 240.0], [147.0, 254.0], [57.0, 257.0]], ('1 STEEL CUT OATS', 0.9164440631866455)], [[[247.0, 235.0], [272.0, 235.0], [272.0, 251.0], [247.0, 251.0]], ('4.99', 0.9886482954025269)], [[[55.0, 256.0], [219.0, 252.0], [219.0, 268.0], [55.0, 272.0]], ('1OMELET SEN,$cheese,$bacon', 0.9230422973632812)], [[[71.0, 272.0], [100.0, 272.0], [100.0, 287.0], [71.0, 287.0]], ('$ham', 0.9733632206916809)], [[[245.0, 264.0], [273.0, 264.0], [273.0, 279.0], [245.0, 279.0]], ('10.17', 0.9920511245727539)], [[[54.0, 288.0], [142.0, 282.0], [143.0, 299.0], [55.0, 305.0]], ('1 BISC/GRAVY SD', 0.9098477959632874)], [[[249.0, 279.0], [275.0, 279.0], [275.0, 294.0], [249.0, 294.0]], ('3.99', 0.996025025844574)], [[[166.0, 314.0], [222.0, 311.0], [223.0, 325.0], [166.0, 328.0]], ('Sub Total:', 0.9189125299453735)], [[[247.0, 309.0], [278.0, 309.0], [278.0, 324.0], [247.0, 324.0]], ('29.03', 0.994105339050293)], [[[212.0, 328.0], [239.0, 328.0], [239.0, 342.0], [212.0, 342.0]], ('Tax:', 0.9621856808662415)], [[[250.0, 324.0], [278.0, 324.0], [278.0, 340.0], [250.0, 340.0]], ('1.74', 0.9879984855651855)], [[[221.0, 341.0], [277.0, 337.0], [278.0, 355.0], [222.0, 359.0]], ('30.77', 0.9972755312919617)], [[[57.0, 351.0], [190.0, 344.0], [190.0, 360.0], [58.0, 367.0]], ('12/2110:10aTOTAL', 0.9502618312835693)], [[[55.0, 386.0], [279.0, 371.0], [280.0, 385.0], [56.0, 400.0]], ('******************', 0.8618301153182983)], [[[83.0, 401.0], [247.0, 389.0], [248.0, 405.0], [84.0, 416.0]], ('THANK YOU! PLEASE COME AGAIN', 0.934903085231781)], [[[105.0, 415.0], [230.0, 406.0], [231.0, 424.0], [106.0, 432.0]], ('ASK US ABOUT CATERING', 0.9429506659507751)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "12/21/16 12/21", "time": "10:10a", "subtotal": "29.03", "tax": "1.74", "total": "30.77", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WATER", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "OJ", "item_value": "10.17", "item_quantity": "1"}, {"item_key": "", "item_name": "KIDSCAKES,$kid'sdrink,", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "kid'sapple,egg,scrambled", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "STEELCUTOATS", "item_value": "3.89", "item_quantity": "1"}, {"item_key": "", "item_name": "OMELETSEN,$cheese,$bacon,", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$ham", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BISC/GRAVYSD", "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	[[[[272.0, 32.0], [437.0, 34.0], [437.0, 59.0], [272.0, 57.0]], ('Car Spa 0017', 0.9299760460853577)], [[[231.0, 59.0], [480.0, 63.0], [479.0, 88.0], [231.0, 84.0]], ('3690 Be1t1ine Road', 0.9046962261199951)], [[[259.0, 88.0], [453.0, 91.0], [453.0, 117.0], [259.0, 114.0]], ('972243-2932', 0.9498529434204102)], [[[74.0, 150.0], [213.0, 150.0], [213.0, 178.0], [74.0, 178.0]], ('17-TOUCH2,', 0.9411176443099976)], [[[385.0, 153.0], [636.0, 153.0], [636.0, 178.0], [385.0, 178.0]], ('05/28/1506:50PM', 0.9684479832649231)], [[[71.0, 182.0], [339.0, 186.0], [339.0, 214.0], [70.0, 210.0]], ('Shift1Emp1 6508,', 0.9174156188964844)], [[[385.0, 185.0], [638.0, 188.0], [638.0, 214.0], [385.0, 211.0]], ('Sale#41623648004', 0.9901597499847412)], [[[156.0, 249.0], [386.0, 252.0], [385.0, 280.0], [155.0, 277.0]], ('1 Mobi1 1 Pk-TX', 0.880625307559967)], [[[566.0, 252.0], [630.0, 252.0], [630.0, 283.0], [566.0, 283.0]], ('0.00', 0.9932706356048584)], [[[156.0, 285.0], [415.0, 288.0], [414.0, 316.0], [155.0, 313.0]], ('1 Spa SupremeTx', 0.9342594146728516)], [[[567.0, 286.0], [630.0, 286.0], [630.0, 318.0], [567.0, 318.0]], ('0.00', 0.9921188354492188)], [[[155.0, 320.0], [458.0, 323.0], [458.0, 351.0], [154.0, 348.0]], ('1 Spa Sup.LaborTx', 0.9165024757385254)], [[[558.0, 322.0], [631.0, 322.0], [631.0, 352.0], [558.0, 352.0]], ('13.24', 0.9934896230697632)], [[[156.0, 356.0], [457.0, 357.0], [457.0, 383.0], [156.0, 382.0]], ('1 Spa Sup.Parts-TX', 0.9154328107833862)], [[[569.0, 356.0], [632.0, 356.0], [632.0, 388.0], [569.0, 388.0]], ('6.75', 0.9914571046829224)], [[[155.0, 388.0], [374.0, 391.0], [374.0, 419.0], [154.0, 417.0]], ('1.Mobi1 1 Synth', 0.8579044938087463)], [[[558.0, 392.0], [632.0, 392.0], [632.0, 422.0], [558.0, 422.0]], ('48.00', 0.985159695148468)], [[[155.0, 425.0], [443.0, 428.0], [443.0, 456.0], [154.0, 453.0]], ('1 Supreme Inspection', 0.9614315032958984)], [[[154.0, 461.0], [315.0, 461.0], [315.0, 490.0], [154.0, 490.0]], ('1 Waste Fee', 0.9238347411155701)], [[[571.0, 460.0], [635.0, 460.0], [635.0, 492.0], [571.0, 492.0]], ('2.00', 0.99684739112854)], [[[153.0, 499.0], [457.0, 499.0], [457.0, 524.0], [153.0, 524.0]], ('1Lube Wash Discount', 0.9489285349845886)], [[[561.0, 497.0], [636.0, 497.0], [636.0, 527.0], [561.0, 527.0]], ('-6.00', 0.9823776483535767)], [[[110.0, 534.0], [428.0, 534.0], [428.0, 559.0], [110.0, 559.0]], ('5.80 Mob11e1 0w40 Bt1', 0.8560011982917786)], [[[564.0, 532.0], [639.0, 532.0], [639.0, 562.0], [564.0, 562.0]], ('10.00', 0.9922188520431519)], [[[152.0, 570.0], [385.0, 570.0], [385.0, 598.0], [152.0, 598.0]], ('1PRGDOFPOF5581', 0.9627481698989868)], [[[575.0, 568.0], [640.0, 568.0], [640.0, 598.0], [575.0, 598.0]], ('0.00', 0.9848016500473022)], [[[152.0, 606.0], [418.0, 606.0], [418.0, 634.0], [152.0, 634.0]], ('1 Exp Carpet Clean', 0.9300291538238525)], [[[566.0, 605.0], [642.0, 605.0], [642.0, 635.0], [566.0, 635.0]], ('39.99', 0.9923492670059204)], [[[152.0, 644.0], [389.0, 644.0], [389.0, 672.0], [152.0, 672.0]], ('1 Exp Seat Treat', 0.9330434203147888)], [[[567.0, 643.0], [645.0, 643.0], [645.0, 673.0], [567.0, 673.0]], ('39.99', 0.9970594644546509)], [[[153.0, 682.0], [373.0, 682.0], [373.0, 707.0], [153.0, 707.0]], ('12Detai1 Disc', 0.8634912967681885)], [[[557.0, 678.0], [649.0, 678.0], [649.0, 711.0], [557.0, 711.0]], ('-19.99', 0.9580480456352234)], [[[149.0, 719.0], [406.0, 715.0], [406.0, 748.0], [149.0, 751.0]], ('1 Emissions-OBD', 0.9200570583343506)], [[[571.0, 718.0], [651.0, 718.0], [651.0, 749.0], [571.0, 749.0]], ('25.50', 0.9971538782119751)], [[[148.0, 756.0], [375.0, 753.0], [375.0, 785.0], [148.0, 789.0]], ('1 Sticker-ODB', 0.9201232194900513)], [[[586.0, 755.0], [655.0, 755.0], [655.0, 790.0], [586.0, 790.0]], ('0.00', 0.9969478845596313)], [[[360.0, 832.0], [486.0, 835.0], [485.0, 871.0], [359.0, 869.0]], ('Subtotal', 0.9949569702148438)], [[[564.0, 835.0], [659.0, 835.0], [659.0, 870.0], [564.0, 870.0]], ('159.48', 0.9777507781982422)], [[[346.0, 877.0], [489.0, 877.0], [489.0, 910.0], [346.0, 910.0]], ('Sales Tax', 0.9469133019447327)], [[[592.0, 876.0], [665.0, 876.0], [665.0, 911.0], [592.0, 911.0]], ('5.34', 0.9959586262702942)], [[[406.0, 917.0], [491.0, 917.0], [491.0, 955.0], [406.0, 955.0]], ('Total', 0.99186772108078)], [[[570.0, 919.0], [666.0, 919.0], [666.0, 953.0], [570.0, 953.0]], ('164.82', 0.9947724342346191)]]	{"store_name": "CarSpa0017", "store_addr": "3690BeltlineRoad", "telephone": "(972)243-2932", "date": "05/28/15,", "time": "06:50PM", "subtotal": "159.48", "tax": "5.34", "total": "164.82", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Sticker-ODB", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Emissions-OBD", "item_value": "25.50", "item_quantity": "1"}, {"item_key": "", "item_name": "2DetailDisc", "item_value": "-19.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ExpSeatTreat", "item_value": "39.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ExpCarpetClean", "item_value": "39.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PRGDOF:POF5581", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LubeWashDiscount", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WasteFee", "item_value": "-6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SupremeInspection", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mobil1Synth", "item_value": "48.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SpaSup.Parts-TX", "item_value": "6.75", "item_quantity": "1"}, {"item_key": "", "item_name": "SpaSup.Labor-TX", "item_value": "13.24", "item_quantity": "1"}, {"item_key": "", "item_name": "SpaSupreme-TX", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mobil1PK-TX", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "5.80Mobile10w40Btl", "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	[[[[242.0, 149.0], [477.0, 144.0], [477.0, 168.0], [242.0, 173.0]], ('Queensboro Car Wash', 0.9628527760505676)], [[[254.0, 178.0], [463.0, 175.0], [464.0, 197.0], [255.0, 200.0]], ('38-26 21st Street', 0.9484745264053345)], [[[203.0, 209.0], [527.0, 200.0], [528.0, 225.0], [204.0, 234.0]], ('Long Island CityNY 11106', 0.9554969668388367)], [[[291.0, 235.0], [442.0, 231.0], [442.0, 257.0], [291.0, 261.0]], ('718-752-9143', 0.9940090775489807)], [[[126.0, 295.0], [291.0, 295.0], [291.0, 320.0], [126.0, 320.0]], ('Cashier:0147', 0.9751622676849365)], [[[479.0, 290.0], [609.0, 285.0], [610.0, 311.0], [480.0, 316.0]], ('Tran:Sale', 0.949357271194458)], [[[123.0, 326.0], [293.0, 324.0], [293.0, 349.0], [124.0, 351.0]], ('Register #:2', 0.9252347946166992)], [[[391.0, 323.0], [610.0, 316.0], [611.0, 341.0], [392.0, 348.0]], ('Receipt #582499', 0.9683005213737488)], [[[121.0, 354.0], [428.0, 352.0], [428.0, 376.0], [122.0, 378.0]], ('Fri Jun 102016 13:44:51', 0.9268913865089417)], [[[119.0, 415.0], [355.0, 412.0], [355.0, 437.0], [119.0, 440.0]], ('Car Ful1 Hand Wash', 0.9071432948112488)], [[[549.0, 408.0], [618.0, 408.0], [618.0, 435.0], [549.0, 435.0]], ('14.00', 0.9965729713439941)], [[[119.0, 447.0], [251.0, 445.0], [252.0, 470.0], [120.0, 472.0]], ('Super Wash', 0.954499363899231)], [[[562.0, 440.0], [620.0, 440.0], [620.0, 467.0], [562.0, 467.0]], ('4.00', 0.9964511394500732)], [[[123.0, 477.0], [354.0, 473.0], [355.0, 498.0], [124.0, 502.0]], ('Armor A11 Com.SUV', 0.8555434346199036)], [[[550.0, 471.0], [620.0, 471.0], [620.0, 498.0], [550.0, 498.0]], ('26.99', 0.9932343363761902)], [[[129.0, 534.0], [231.0, 531.0], [231.0, 558.0], [129.0, 561.0]], ('Subtotal', 0.9925311207771301)], [[[547.0, 529.0], [615.0, 529.0], [615.0, 556.0], [547.0, 556.0]], ('44.99', 0.9947765469551086)], [[[132.0, 564.0], [222.0, 564.0], [222.0, 590.0], [132.0, 590.0]], ('Taxable', 0.994898796081543)], [[[545.0, 560.0], [613.0, 560.0], [613.0, 586.0], [545.0, 586.0]], ('44.99', 0.9974918365478516)], [[[132.0, 595.0], [270.0, 593.0], [271.0, 618.0], [132.0, 620.0]], ('Non-Taxable', 0.9845332503318787)], [[[557.0, 592.0], [612.0, 592.0], [612.0, 616.0], [557.0, 616.0]], ('0.00', 0.9977028965950012)], [[[133.0, 625.0], [248.0, 625.0], [248.0, 650.0], [133.0, 650.0]], ('Sales Tax', 0.9588652849197388)], [[[555.0, 620.0], [612.0, 620.0], [612.0, 647.0], [555.0, 647.0]], ('3.99', 0.996913492679596)], [[[132.0, 653.0], [197.0, 653.0], [197.0, 680.0], [132.0, 680.0]], ('Total', 0.9961546063423157)], [[[545.0, 650.0], [612.0, 650.0], [612.0, 677.0], [545.0, 677.0]], ('48.98', 0.9943135976791382)], [[[132.0, 687.0], [272.0, 684.0], [273.0, 710.0], [132.0, 713.0]], ('Credit Card', 0.9672754406929016)], [[[545.0, 681.0], [612.0, 681.0], [612.0, 707.0], [545.0, 707.0]], ('48.98', 0.9928436279296875)], [[[132.0, 714.0], [212.0, 717.0], [211.0, 746.0], [131.0, 743.0]], ('Change', 0.9976346492767334)], [[[556.0, 710.0], [612.0, 710.0], [612.0, 739.0], [556.0, 739.0]], ('0.00', 0.994950532913208)], [[[199.0, 776.0], [530.0, 773.0], [531.0, 798.0], [199.0, 801.0]], ('Thank You For Your Business', 0.9505366683006287)]]	{"store_name": "QueensboroCarWash", "store_addr": "38-2621stStreet LongIslandCity,NY11106", "telephone": "718-752-9143", "date": "Jun102016", "time": "13:44:51", "subtotal": "44.99 44.99", "tax": "0.00 3.00", "total": "48.98 48.98", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CarFullHandWash", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SuperWash", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ArmorAllCom.SUV", "item_value": "26,99", "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	[[[[170.0, 74.0], [268.0, 67.0], [269.0, 81.0], [171.0, 88.0]], ('Post Office Ltd', 0.9359451532363892)], [[[182.0, 85.0], [261.0, 80.0], [262.0, 94.0], [183.0, 99.0]], ('Your Receipt', 0.9741511940956116)], [[[277.0, 87.0], [351.0, 78.0], [353.0, 94.0], [279.0, 103.0]], ('FAD:112005', 0.9482170939445496)], [[[91.0, 113.0], [142.0, 110.0], [143.0, 125.0], [92.0, 128.0]], ('The Hyde', 0.9411477446556091)], [[[92.0, 124.0], [144.0, 122.0], [144.0, 136.0], [92.0, 138.0]], ('The Hyde', 0.9660093188285828)], [[[93.0, 135.0], [133.0, 133.0], [134.0, 147.0], [94.0, 149.0]], ('London', 0.9969515204429626)], [[[93.0, 146.0], [182.0, 140.0], [183.0, 154.0], [94.0, 160.0]], ('Greater London', 0.9799952507019043)], [[[93.0, 156.0], [140.0, 153.0], [141.0, 167.0], [94.0, 170.0]], ('NW9 6LR', 0.9163077473640442)], [[[144.0, 175.0], [224.0, 170.0], [225.0, 184.0], [145.0, 189.0]], ('VAT REG NO.', 0.8997730612754822)], [[[218.0, 170.0], [311.0, 163.0], [312.0, 177.0], [219.0, 184.0]], ('GB1726705 02', 0.9471777081489563)], [[[126.0, 188.0], [216.0, 183.0], [217.0, 196.0], [127.0, 201.0]], ('Date of Issue:', 0.9333020448684692)], [[[220.0, 181.0], [323.0, 174.0], [324.0, 189.0], [221.0, 196.0]], ('12/04/2018 15:30', 0.955446183681488)], [[[164.0, 195.0], [273.0, 189.0], [274.0, 203.0], [165.0, 209.0]], ('SESSI0N:2-289744', 0.9174054861068726)], [[[197.0, 247.0], [265.0, 245.0], [265.0, 259.0], [197.0, 261.0]], ('Item Price', 0.9489121437072754)], [[[308.0, 239.0], [368.0, 239.0], [368.0, 256.0], [308.0, 256.0]], ('Total)', 0.8881041407585144)], [[[178.0, 260.0], [221.0, 257.0], [222.0, 271.0], [179.0, 274.0]], ('ex VAT', 0.8969676494598389)], [[[238.0, 258.0], [289.0, 252.0], [291.0, 267.0], [240.0, 273.0]], ('inc VAT', 0.8913384675979614)], [[[97.0, 286.0], [217.0, 279.0], [218.0, 295.0], [98.0, 302.0]], ('EInt Std Sa1 Pc', 0.862813413143158)], [[[194.0, 293.0], [220.0, 293.0], [220.0, 305.0], [194.0, 305.0]], ('6.20', 0.9966408014297485)], [[[262.0, 287.0], [293.0, 285.0], [294.0, 301.0], [263.0, 303.0]], ('6.20', 0.9959036707878113)], [[[333.0, 284.0], [363.0, 282.0], [364.0, 298.0], [334.0, 300.0]], ('6.20', 0.9931169748306274)], [[[98.0, 318.0], [371.0, 304.0], [372.0, 321.0], [99.0, 335.0]], ('S)=Standard Rate (Z=Zero Rate (E=Exempt', 0.9186770915985107)], [[[102.0, 361.0], [195.0, 358.0], [195.0, 374.0], [102.0, 377.0]], ('DG Screen Int1', 0.9072905778884888)], [[[199.0, 366.0], [226.0, 366.0], [226.0, 381.0], [199.0, 381.0]], ('0.00', 0.9932933449745178)], [[[338.0, 361.0], [370.0, 361.0], [370.0, 376.0], [338.0, 376.0]], ('0.00', 0.9952812194824219)], [[[104.0, 402.0], [259.0, 399.0], [259.0, 416.0], [104.0, 419.0]], ('TOTAL DUE TO POST OFFICE', 0.947784423828125)], [[[341.0, 397.0], [372.0, 397.0], [372.0, 412.0], [341.0, 412.0]], ('6.20', 0.9961225986480713)], [[[110.0, 436.0], [177.0, 436.0], [177.0, 450.0], [110.0, 450.0]], ('Visa Credit', 0.9597892761230469)], [[[212.0, 434.0], [300.0, 434.0], [300.0, 451.0], [212.0, 451.0]], ('FROM CUSTOMER', 0.9502826929092407)], [[[341.0, 432.0], [374.0, 428.0], [376.0, 447.0], [344.0, 451.0]], ('6.20', 0.9918608069419861)], [[[109.0, 444.0], [155.0, 446.0], [155.0, 460.0], [109.0, 458.0]], ('BALANCE', 0.996868908405304)], [[[345.0, 444.0], [375.0, 444.0], [375.0, 460.0], [345.0, 460.0]], ('0.00', 0.9956201314926147)]]	{"store_name": "PostOfficeLtd.", "store_addr": "NW96LR GreaterLondon London", "telephone": "", "date": "12/04/2018", "time": "15:30", "subtotal": "0.00", "tax": "", "total": "6.20 6.20 6.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DGScreenIntl", "item_value": "6.20", "item_quantity": "1"}, {"item_key": "", "item_name": "(E)IntStdSmlPcl", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "Item", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[112.0, 53.0], [162.0, 49.0], [163.0, 62.0], [113.0, 66.0]], ('TAX INVOICE', 0.9020305275917053)], [[[66.0, 75.0], [112.0, 75.0], [112.0, 86.0], [66.0, 86.0]], ('Table', 0.9822677373886108)], [[[113.0, 70.0], [158.0, 67.0], [159.0, 82.0], [114.0, 85.0]], ('18]', 0.8675575852394104)], [[[151.0, 100.0], [161.0, 100.0], [161.0, 109.0], [151.0, 109.0]], ('X', 0.7485194206237793)], [[[203.0, 93.0], [239.0, 93.0], [239.0, 107.0], [203.0, 107.0]], ('96.00S', 0.9189484715461731)], [[[64.0, 104.0], [85.0, 104.0], [85.0, 116.0], [64.0, 116.0]], ('CRAB', 0.979214072227478)], [[[63.0, 114.0], [133.0, 110.0], [134.0, 123.0], [63.0, 127.0]], ('BRATSED SEASHELL', 0.967491626739502)], [[[154.0, 108.0], [163.0, 113.0], [157.0, 122.0], [148.0, 117.0]], ('X', 0.5790473222732544)], [[[201.0, 105.0], [238.0, 100.0], [240.0, 115.0], [203.0, 120.0]], ('25.00S', 0.9241234660148621)], [[[62.0, 123.0], [160.0, 118.0], [161.0, 132.0], [62.0, 137.0]], ('CRABMEAT SPRING ROLL X', 0.8900089263916016)], [[[167.0, 120.0], [176.0, 120.0], [176.0, 129.0], [167.0, 129.0]], ('1', 0.8161656856536865)], [[[205.0, 114.0], [240.0, 114.0], [240.0, 128.0], [205.0, 128.0]], ('S008', 0.8703020811080933)], [[[64.0, 133.0], [117.0, 133.0], [117.0, 144.0], [64.0, 144.0]], ('SROUPER FISH', 0.9504383206367493)], [[[203.0, 125.0], [242.0, 125.0], [242.0, 139.0], [203.0, 139.0]], ('96.00S', 0.8771789073944092)], [[[62.0, 144.0], [84.0, 144.0], [84.0, 155.0], [62.0, 155.0]], ('RICE', 0.9964666962623596)], [[[151.0, 141.0], [161.0, 141.0], [161.0, 150.0], [151.0, 150.0]], ('X', 0.8213768005371094)], [[[166.0, 140.0], [176.0, 140.0], [176.0, 150.0], [166.0, 150.0]], ('2', 0.9627652168273926)], [[[207.0, 135.0], [240.0, 135.0], [240.0, 149.0], [207.0, 149.0]], ('2.40S', 0.9597418904304504)], [[[60.0, 162.0], [111.0, 159.0], [112.0, 173.0], [60.0, 175.0]], ('FRUIT JUICE', 0.9249811172485352)], [[[63.0, 153.0], [93.0, 149.0], [95.0, 161.0], [64.0, 165.0]], ('1.20', 0.9769382476806641)], [[[150.0, 160.0], [162.0, 160.0], [162.0, 169.0], [150.0, 169.0]], ('X', 0.8311197757720947)], [[[165.0, 159.0], [175.0, 159.0], [175.0, 169.0], [165.0, 169.0]], ('2', 0.9767324328422546)], [[[204.0, 155.0], [240.0, 155.0], [240.0, 169.0], [204.0, 169.0]], ('10.00S', 0.9283764362335205)], [[[62.0, 171.0], [95.0, 170.0], [96.0, 184.0], [62.0, 185.0]], ('5.00', 0.9575784802436829)], [[[58.0, 182.0], [110.0, 180.0], [110.0, 194.0], [58.0, 196.0]], ('CHINESE TEA', 0.9741798043251038)], [[[149.0, 181.0], [161.0, 181.0], [161.0, 189.0], [149.0, 189.0]], ('X.', 0.7897140383720398)], [[[166.0, 180.0], [175.0, 180.0], [175.0, 190.0], [166.0, 190.0]], ('2', 0.9567918181419373)], [[[207.0, 176.0], [242.0, 176.0], [242.0, 190.0], [207.0, 190.0]], ('2.00S', 0.9268490672111511)], [[[59.0, 201.0], [90.0, 203.0], [88.0, 215.0], [57.0, 213.0]], ('Towel', 0.8903111219406128)], [[[61.0, 193.0], [92.0, 193.0], [92.0, 204.0], [61.0, 204.0]], ('1.00', 0.9853686094284058)], [[[166.0, 201.0], [175.0, 201.0], [175.0, 211.0], [166.0, 211.0]], ('2', 0.9841782450675964)], [[[208.0, 197.0], [242.0, 197.0], [242.0, 211.0], [208.0, 211.0]], ('1.00S', 0.9338874816894531)], [[[57.0, 221.0], [80.0, 223.0], [79.0, 235.0], [55.0, 233.0]], ('Nuts', 0.9353294968605042)], [[[61.0, 213.0], [92.0, 213.0], [92.0, 224.0], [61.0, 224.0]], ('0.50', 0.9657578468322754)], [[[150.0, 223.0], [161.0, 223.0], [161.0, 231.0], [150.0, 231.0]], ('X', 0.7776142954826355)], [[[163.0, 223.0], [176.0, 223.0], [176.0, 231.0], [163.0, 231.0]], ('1', 0.6799982786178589)], [[[208.0, 219.0], [243.0, 219.0], [243.0, 233.0], [208.0, 233.0]], ('2.00S', 0.8857759237289429)], [[[55.0, 241.0], [76.0, 241.0], [76.0, 253.0], [55.0, 253.0]], ('FOOD', 0.9727326035499573)], [[[121.0, 240.0], [163.0, 240.0], [163.0, 254.0], [121.0, 254.0]], ('229.40', 0.9841545224189758)], [[[52.0, 252.0], [77.0, 252.0], [77.0, 263.0], [52.0, 263.0]], ('DRINK', 0.9835274815559387)], [[[120.0, 252.0], [161.0, 252.0], [161.0, 263.0], [120.0, 263.0]], ('12.00', 0.9838935136795044)], [[[52.0, 262.0], [76.0, 262.0], [76.0, 273.0], [52.0, 273.0]], ('TONEL', 0.9772638082504272)], [[[132.0, 262.0], [160.0, 262.0], [160.0, 273.0], [132.0, 273.0]], ('1.00', 0.9896930456161499)], [[[81.0, 291.0], [172.0, 294.0], [172.0, 309.0], [81.0, 305.0]], ('Service Charge 5%:', 0.908499002456665)], [[[122.0, 283.0], [172.0, 283.0], [172.0, 294.0], [122.0, 294.0]], ('Sub-Total:', 0.9390618205070496)], [[[209.0, 282.0], [245.0, 282.0], [245.0, 296.0], [209.0, 296.0]], ('242.40', 0.9870913028717041)], [[[213.0, 294.0], [245.0, 294.0], [245.0, 309.0], [213.0, 309.0]], ('12.12', 0.9927570223808289)], [[[119.0, 304.0], [171.0, 304.0], [171.0, 318.0], [119.0, 318.0]], ('G.S.T.6X', 0.8235624432563782)], [[[93.0, 314.0], [171.0, 318.0], [171.0, 332.0], [92.0, 328.0]], ('Rounding Adjt.:', 0.9401068091392517)], [[[215.0, 306.0], [245.0, 306.0], [245.0, 321.0], [215.0, 321.0]], ('15.27', 0.8990377187728882)], [[[217.0, 319.0], [244.0, 319.0], [244.0, 334.0], [217.0, 334.0]], ('0.01', 0.9876000881195068)], [[[73.0, 339.0], [178.0, 343.0], [177.0, 365.0], [72.0, 361.0]], ('Net-Total', 0.9846963882446289)], [[[175.0, 340.0], [244.0, 344.0], [243.0, 369.0], [174.0, 365.0]], ('269.80', 0.9936423897743225)], [[[120.0, 360.0], [173.0, 364.0], [171.0, 378.0], [119.0, 374.0]], ('CASH', 0.9947243332862854)], [[[177.0, 361.0], [243.0, 366.0], [242.0, 381.0], [176.0, 376.0]], ('300.00', 0.9980126023292542)], [[[102.0, 371.0], [172.0, 378.0], [170.0, 392.0], [100.0, 385.0]], ('Change:', 0.9836503863334656)], [[[188.0, 375.0], [243.0, 379.0], [242.0, 394.0], [187.0, 390.0]], ('30.20', 0.9977615475654602)], [[[40.0, 387.0], [96.0, 393.0], [94.0, 407.0], [38.0, 401.0]], ('GSSumsary', 0.7592823505401611)], [[[43.0, 398.0], [83.0, 403.0], [80.0, 418.0], [41.0, 413.0]], ('x9=S', 0.6717215776443481)], [[[122.0, 394.0], [176.0, 399.0], [174.0, 413.0], [120.0, 408.0]], ('Anount(RM)', 0.826468288898468)], [[[42.0, 408.0], [80.0, 416.0], [76.0, 431.0], [39.0, 423.0]], ('=0%', 0.7950839996337891)], [[[139.0, 407.0], [176.0, 410.0], [175.0, 425.0], [138.0, 423.0]], ('254.52', 0.9883819222450256)], [[[203.0, 400.0], [244.0, 403.0], [243.0, 417.0], [202.0, 415.0]], ('Tax(RM)', 0.8556941151618958)], [[[213.0, 411.0], [245.0, 414.0], [244.0, 429.0], [212.0, 426.0]], ('15.27', 0.98975670337677)], [[[148.0, 423.0], [173.0, 423.0], [173.0, 435.0], [148.0, 435.0]], ('0.00', 0.9922741651535034)], [[[217.0, 425.0], [244.0, 425.0], [244.0, 437.0], [217.0, 437.0]], ('0.00', 0.9949805736541748)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "242.40", "tax": "15.27 15.27", "total": "269.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CRAB", "item_value": "96.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BRATSEDSEASHELL", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SACUPERFISH", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RICE", "item_value": "56.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FRUITJUICE", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "", "item_name": "CHINESETEA", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Towel", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Nuts", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[296.0, 165.0], [363.0, 168.0], [361.0, 195.0], [295.0, 192.0]], ('KFC/AW', 0.9936380982398987)], [[[221.0, 193.0], [427.0, 194.0], [427.0, 216.0], [220.0, 215.0]], ('1827 West 12600 South', 0.9167410731315613)], [[[238.0, 218.0], [419.0, 220.0], [418.0, 242.0], [237.0, 240.0]], ('RivertonUT 84065', 0.9674441814422607)], [[[262.0, 245.0], [391.0, 245.0], [391.0, 266.0], [262.0, 266.0]], ('801446-7080', 0.9896217584609985)], [[[278.0, 270.0], [381.0, 268.0], [382.0, 289.0], [278.0, 292.0]], ('2016-03-01', 0.9902183413505554)], [[[211.0, 342.0], [431.0, 336.0], [432.0, 360.0], [211.0, 366.0]], ('CREDIT SALE', 0.9669145941734314)], [[[194.0, 415.0], [449.0, 410.0], [450.0, 432.0], [194.0, 437.0]], ('CHARGE DETAIL', 0.9706805944442749)], [[[133.0, 465.0], [186.0, 465.0], [186.0, 488.0], [133.0, 488.0]], ('Name:', 0.9817582964897156)], [[[254.0, 462.0], [386.0, 462.0], [386.0, 483.0], [254.0, 483.0]], ('DWAYNE BORING', 0.9745507836341858)], [[[134.0, 489.0], [237.0, 489.0], [237.0, 510.0], [134.0, 510.0]], ('Card Type:', 0.943719744682312)], [[[254.0, 489.0], [296.0, 489.0], [296.0, 508.0], [254.0, 508.0]], ('Visa', 0.9960302114486694)], [[[134.0, 514.0], [216.0, 514.0], [216.0, 535.0], [134.0, 535.0]], ('Account:', 0.9845353364944458)], [[[255.0, 511.0], [437.0, 510.0], [437.0, 529.0], [255.0, 530.0]], ('**********2857S', 0.9805563688278198)], [[[134.0, 538.0], [237.0, 538.0], [237.0, 559.0], [134.0, 559.0]], ('Auth Code:', 0.9217966198921204)], [[[254.0, 535.0], [319.0, 535.0], [319.0, 557.0], [254.0, 557.0]], ('091520', 0.9983853697776794)], [[[135.0, 562.0], [218.0, 562.0], [218.0, 584.0], [135.0, 584.0]], ('Trans #', 0.9544206857681274)], [[[254.0, 559.0], [301.0, 559.0], [301.0, 583.0], [254.0, 583.0]], ('3914', 0.9987661838531494)], [[[134.0, 588.0], [226.0, 585.0], [227.0, 608.0], [135.0, 611.0]], ('Auth Ref', 0.9787819385528564)], [[[252.0, 584.0], [339.0, 581.0], [340.0, 606.0], [253.0, 609.0]], ('00074087', 0.998045027256012)], [[[135.0, 638.0], [312.0, 635.0], [312.0, 657.0], [135.0, 659.0]], ('AUTH AMT:', 0.9326579570770264)], [[[417.0, 633.0], [541.0, 629.0], [541.0, 654.0], [418.0, 658.0]], ('$37.92', 0.9932723045349121)], [[[134.0, 664.0], [294.0, 661.0], [294.0, 683.0], [134.0, 686.0]], ('BALANCE:', 0.9838165640830994)], [[[438.0, 659.0], [543.0, 656.0], [544.0, 681.0], [438.0, 684.0]], ('$0.00', 0.9963622093200684)], [[[217.0, 738.0], [461.0, 735.0], [461.0, 757.0], [217.0, 759.0]], ('Ticket #3914', 0.9573954939842224)], [[[133.0, 767.0], [237.0, 764.0], [238.0, 786.0], [134.0, 789.0]], ('2016-03-01', 0.993366539478302)], [[[473.0, 762.0], [550.0, 762.0], [550.0, 785.0], [473.0, 785.0]], ('6:09PM', 0.9439803957939148)], [[[248.0, 791.0], [425.0, 791.0], [425.0, 812.0], [248.0, 812.0]], ('S7201913603914', 0.9947063326835632)], [[[133.0, 844.0], [292.0, 842.0], [292.0, 867.0], [133.0, 869.0]], ('Cashier:IRMINH', 0.9676141738891602)], [[[208.0, 923.0], [482.0, 923.0], [482.0, 947.0], [208.0, 947.0]], ('* Order was Modified *', 0.9536365270614624)], [[[208.0, 951.0], [243.0, 951.0], [243.0, 971.0], [208.0, 971.0]], ('', 0.9217545390129089)], [[[280.0, 948.0], [399.0, 951.0], [398.0, 977.0], [279.0, 974.0]], ('After Total', 0.9621582627296448)], [[[449.0, 951.0], [483.0, 951.0], [483.0, 971.0], [449.0, 971.0]], ('**', 0.982417643070221)]]	{"store_name": "KFC/AW", "store_addr": "1827West12600South Riverton,UT84065", "telephone": "(801)446-7080", "date": "2016-03-01 2016-03-01", "time": "6:09PM", "subtotal": "", "tax": "", "total": "$37.92", "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	[[[[221.0, 131.0], [477.0, 115.0], [479.0, 143.0], [223.0, 159.0]], ('The Colony', 0.9291294813156128)], [[[231.0, 158.0], [470.0, 146.0], [471.0, 171.0], [232.0, 184.0]], ('1743 Cahuenga B1vd', 0.9122698307037354)], [[[202.0, 184.0], [484.0, 174.0], [485.0, 202.0], [203.0, 213.0]], ('Los Angeles, CA 90028', 0.9150198698043823)], [[[266.0, 210.0], [431.0, 206.0], [432.0, 231.0], [267.0, 236.0]], ('323.525.2450', 0.9917740821838379)], [[[89.0, 268.0], [249.0, 261.0], [250.0, 287.0], [90.0, 294.0]], ('328 BRITTANY', 0.9268696308135986)], [[[73.0, 329.0], [115.0, 329.0], [115.0, 359.0], [73.0, 359.0]], ('Tb7', 0.658816397190094)], [[[115.0, 323.0], [181.0, 318.0], [183.0, 349.0], [117.0, 354.0]], ('33/1', 0.9968986511230469)], [[[293.0, 332.0], [403.0, 334.0], [403.0, 361.0], [292.0, 358.0]], ('Chk 7505', 0.9346480369567871)], [[[543.0, 338.0], [614.0, 345.0], [611.0, 376.0], [540.0, 369.0]], ('Gst 1', 0.8751594424247742)], [[[237.0, 360.0], [459.0, 369.0], [458.0, 398.0], [235.0, 389.0]], ("Jun28'1112:17AM", 0.9507931470870972)], [[[121.0, 417.0], [265.0, 427.0], [263.0, 457.0], [119.0, 447.0]], ('Table', 0.9948686361312866)], [[[85.0, 454.0], [294.0, 462.0], [293.0, 494.0], [83.0, 486.0]], ('8 Bottle Water', 0.9416965842247009)], [[[516.0, 465.0], [591.0, 465.0], [591.0, 496.0], [516.0, 496.0]], ('48.00', 0.9901758432388306)], [[[84.0, 489.0], [325.0, 497.0], [324.0, 530.0], [83.0, 522.0]], ('3 MAG Grey Goose', 0.9212439060211182)], [[[490.0, 503.0], [591.0, 499.0], [593.0, 529.0], [491.0, 533.0]], ('2550.00', 0.9949565529823303)], [[[84.0, 528.0], [352.0, 534.0], [352.0, 566.0], [83.0, 560.0]], ('2BTL Patron Silvr', 0.9142841696739197)], [[[504.0, 536.0], [593.0, 532.0], [595.0, 563.0], [505.0, 567.0]], ('850.00', 0.9959380030632019)], [[[83.0, 565.0], [309.0, 572.0], [308.0, 602.0], [82.0, 595.0]], ('4Ace of Spades', 0.9546413421630859)], [[[494.0, 572.0], [598.0, 568.0], [599.0, 598.0], [495.0, 602.0]], ('4400.00', 0.9960240721702576)], [[[111.0, 641.0], [234.0, 638.0], [235.0, 672.0], [112.0, 676.0]], ('SUBTOTAL', 0.9963272213935852)], [[[502.0, 640.0], [602.0, 640.0], [602.0, 670.0], [502.0, 670.0]], ('7848.00', 0.9949296116828918)], [[[113.0, 683.0], [280.0, 683.0], [280.0, 713.0], [113.0, 713.0]], ('20% SERVICE', 0.9526952505111694)], [[[506.0, 676.0], [606.0, 676.0], [606.0, 706.0], [506.0, 706.0]], ('1569.60', 0.9939409494400024)], [[[109.0, 719.0], [163.0, 719.0], [163.0, 757.0], [109.0, 757.0]], ('TAX', 0.9970349669456482)], [[[518.0, 713.0], [609.0, 713.0], [609.0, 743.0], [518.0, 743.0]], ('918.22', 0.9966843724250793)], [[[383.0, 755.0], [604.0, 751.0], [604.0, 780.0], [384.0, 784.0]], ('10335.82', 0.9954288005828857)], [[[53.0, 766.0], [317.0, 759.0], [318.0, 789.0], [54.0, 796.0]], ('01:31AM TOTALDUE', 0.915320873260498)], [[[111.0, 926.0], [455.0, 914.0], [457.0, 954.0], [113.0, 967.0]], ('www.sbe.com', 0.9748329520225525)], [[[117.0, 966.0], [300.0, 972.0], [299.0, 1006.0], [116.0, 1000.0]], ('smart luxury', 0.9654032588005066)]]	{"store_name": "TheColony", "store_addr": "1743CahuengaBlvd LosAngeles,CA90028", "telephone": "323.525.2450", "date": "Jun28'11", "time": "01:31AM", "subtotal": "7848.00", "tax": "918.22", "total": "10335.82", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BottleWater", "item_value": "48.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MAGGreyGoose", "item_value": "2550.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BTLPatronSilvr", "item_value": "850.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AceofSpades", "item_value": "4400.00", "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	[[[[187.0, 155.0], [1499.0, 149.0], [1500.0, 282.0], [187.0, 288.0]], ('REGULAR CAPUMP#1', 0.9755258560180664)], [[[187.0, 304.0], [1681.0, 304.0], [1681.0, 437.0], [187.0, 437.0]], ('34.758GAL@$1.979/GAL', 0.9922998547554016)], [[[2276.0, 304.0], [2967.0, 316.0], [2964.0, 455.0], [2273.0, 442.0]], ('$68.7999', 0.9937677383422852)], [[[154.0, 592.0], [2280.0, 603.0], [2279.0, 731.0], [154.0, 719.0]], ('DISCOUNTS APPLIED AFTER FUELING:', 0.944488525390625)], [[[146.0, 734.0], [633.0, 754.0], [628.0, 887.0], [141.0, 867.0]], ('Savings', 0.9973941445350647)], [[[2214.0, 764.0], [2713.0, 764.0], [2713.0, 902.0], [2214.0, 902.0]], ('$-68.44', 0.9852553009986877)], [[[143.0, 1057.0], [1131.0, 1057.0], [1131.0, 1190.0], [143.0, 1190.0]], ('Fuel Item Total', 0.9361311793327332)], [[[2351.0, 1068.0], [2708.0, 1068.0], [2708.0, 1212.0], [2351.0, 1212.0]], ('$0.35', 0.9938427805900574)], [[[2351.0, 1533.0], [2719.0, 1533.0], [2719.0, 1677.0], [2351.0, 1677.0]], ('$0.35', 0.993847668170929)], [[[1412.0, 1544.0], [2098.0, 1544.0], [2098.0, 1688.0], [1412.0, 1688.0]], ('Subtotal=', 0.9793258309364319)], [[[1653.0, 1704.0], [2115.0, 1704.0], [2115.0, 1865.0], [1653.0, 1865.0]], ('Tax=', 0.9874764680862427)], [[[2338.0, 1695.0], [2720.0, 1680.0], [2726.0, 1841.0], [2344.0, 1855.0]], ('$0.00', 0.9952754974365234)], [[[1609.0, 2042.0], [2093.0, 2042.0], [2093.0, 2180.0], [1609.0, 2180.0]], ('Total=', 0.9863414168357849)], [[[2345.0, 2036.0], [2713.0, 2036.0], [2713.0, 2180.0], [2345.0, 2180.0]], ('$0.35', 0.9973312616348267)], [[[1203.0, 2363.0], [2708.0, 2368.0], [2708.0, 2507.0], [1203.0, 2501.0]], ('Change Due = $-68.44', 0.9311100244522095)], [[[66.0, 2667.0], [384.0, 2667.0], [384.0, 2833.0], [66.0, 2833.0]], ('Cash', 0.9972788095474243)], [[[2279.0, 2700.0], [2724.0, 2700.0], [2724.0, 2855.0], [2279.0, 2855.0]], ('$68.79', 0.9971984028816223)], [[[83.0, 3370.0], [2368.0, 3381.0], [2367.0, 3514.0], [82.0, 3502.0]], ('Today you saved a T0TAL of $68.44', 0.9255546927452087)], [[[60.0, 3713.0], [835.0, 3713.0], [835.0, 3862.0], [60.0, 3862.0]], ('Stop + Shop', 0.9258108139038086)], [[[67.0, 3873.0], [2576.0, 3896.0], [2575.0, 4051.0], [65.0, 4028.0]], ('You received $1.97 off per ga11on by', 0.9446065425872803)], [[[110.0, 4061.0], [2010.0, 4067.0], [2010.0, 4217.0], [110.0, 4211.0]], ('sing your Stop + Shop card.', 0.9648952484130859)], [[[127.0, 4233.0], [2521.0, 4250.0], [2520.0, 4399.0], [126.0, 4382.0]], ('pme back to She11 to redeem future', 0.9378445148468018)], [[[187.0, 4427.0], [1576.0, 4427.0], [1576.0, 4559.0], [187.0, 4559.0]], ('op + Shop discounts.', 0.9524953961372375)], [[[209.0, 4604.0], [1461.0, 4604.0], [1461.0, 4737.0], [209.0, 4737.0]], ('punt Saved: $68.44', 0.9359930753707886)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$0.35 $0.35", "tax": "$0.00", "total": "$0.35", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "REGULARCAPUMP#1", "item_value": "$68.79", "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	[[[[323.0, 156.0], [376.0, 156.0], [376.0, 170.0], [323.0, 170.0]], ('Aurum', 0.9951720237731934)], [[[312.0, 169.0], [395.0, 168.0], [395.0, 179.0], [313.0, 180.0]], ('I Dianond Street', 0.7655755281448364)], [[[330.0, 177.0], [378.0, 179.0], [378.0, 190.0], [330.0, 188.0]], ('Aberdeen', 0.8960097432136536)], [[[251.0, 197.0], [324.0, 197.0], [324.0, 208.0], [251.0, 208.0]], ('Bt Grey Goose', 0.8459835648536682)], [[[419.0, 189.0], [461.0, 189.0], [461.0, 203.0], [419.0, 203.0]], ('100.00', 0.9834342002868652)], [[[248.0, 206.0], [321.0, 204.0], [322.0, 217.0], [248.0, 219.0]], ('-Cosnopolitan', 0.9127026200294495)], [[[429.0, 199.0], [461.0, 197.0], [462.0, 211.0], [430.0, 213.0]], ('8.50', 0.8600066900253296)], [[[249.0, 216.0], [334.0, 214.0], [334.0, 225.0], [249.0, 227.0]], ('"Havana Especial', 0.908024787902832)], [[[431.0, 207.0], [462.0, 207.0], [462.0, 221.0], [431.0, 221.0]], ('2.80', 0.9757797718048096)], [[[249.0, 226.0], [316.0, 226.0], [316.0, 237.0], [249.0, 237.0]], ('Ton Collins', 0.8354586958885193)], [[[429.0, 217.0], [463.0, 217.0], [463.0, 231.0], [429.0, 231.0]], ('8.50', 0.9627917408943176)], [[[248.0, 234.0], [341.0, 234.0], [341.0, 247.0], [248.0, 247.0]], ('Sex on the Beach', 0.9264819622039795)], [[[424.0, 228.0], [462.0, 225.0], [463.0, 240.0], [426.0, 243.0]], ('14.95', 0.970653235912323)], [[[249.0, 245.0], [280.0, 245.0], [280.0, 256.0], [249.0, 256.0]], ('AU79', 0.8028275966644287)], [[[429.0, 237.0], [462.0, 235.0], [463.0, 249.0], [430.0, 251.0]], ('8.50', 0.9602307081222534)], [[[432.0, 245.0], [463.0, 245.0], [463.0, 259.0], [432.0, 259.0]], ('3.80', 0.9780334234237671)], [[[248.0, 255.0], [303.0, 255.0], [303.0, 266.0], [248.0, 266.0]], ('Patron X0', 0.8835415244102478)], [[[248.0, 265.0], [316.0, 265.0], [316.0, 276.0], [248.0, 276.0]], ('Jagerneister', 0.9569479823112488)], [[[429.0, 257.0], [462.0, 255.0], [463.0, 267.0], [430.0, 269.0]], ('2.80', 0.9578728675842285)], [[[247.0, 275.0], [298.0, 275.0], [298.0, 285.0], [247.0, 285.0]], ('Bt Ciroc', 0.7794256210327148)], [[[421.0, 268.0], [463.0, 265.0], [464.0, 276.0], [422.0, 279.0]], ('130.00', 0.9910993576049805)], [[[245.0, 284.0], [335.0, 281.0], [335.0, 294.0], [245.0, 297.0]], ('Bt Hennessey X0', 0.8708762526512146)], [[[287.0, 294.0], [335.0, 294.0], [335.0, 304.0], [287.0, 304.0]], ('2.000', 0.9799458384513855)], [[[341.0, 291.0], [388.0, 291.0], [388.0, 302.0], [341.0, 302.0]], ('210.00', 0.9674418568611145)], [[[422.0, 287.0], [464.0, 284.0], [465.0, 295.0], [423.0, 298.0]], ('420.00', 0.9892817139625549)], [[[243.0, 303.0], [351.0, 302.0], [351.0, 316.0], [243.0, 317.0]], ('Bt Bonbay Sapphire', 0.9108386635780334)], [[[427.0, 296.0], [466.0, 296.0], [466.0, 307.0], [427.0, 307.0]], ('85.00', 0.9700019955635071)], [[[284.0, 324.0], [389.0, 319.0], [389.0, 332.0], [284.0, 337.0]], ('0000830000', 0.9099969863891602)], [[[417.0, 316.0], [467.0, 313.0], [468.0, 327.0], [418.0, 330.0]], ('1600.00', 0.9851922392845154)], [[[242.0, 333.0], [344.0, 333.0], [344.0, 346.0], [242.0, 346.0]], ('Magnun Grey Goose', 0.8956923484802246)], [[[423.0, 326.0], [467.0, 324.0], [468.0, 338.0], [423.0, 340.0]], ('200.00', 0.9781258702278137)], [[[241.0, 344.0], [343.0, 343.0], [343.0, 357.0], [241.0, 358.0]], ('Raspberry Be111n1', 0.8906086683273315)], [[[434.0, 338.0], [467.0, 336.0], [468.0, 347.0], [435.0, 349.0]], ('8.50', 0.9643850922584534)], [[[240.0, 354.0], [323.0, 355.0], [323.0, 369.0], [240.0, 368.0]], ('Mango Bell1n1', 0.8351505994796753)], [[[435.0, 347.0], [470.0, 345.0], [471.0, 360.0], [436.0, 362.0]], ('8.50', 0.9671482443809509)], [[[240.0, 366.0], [322.0, 366.0], [322.0, 380.0], [240.0, 380.0]], ('Sloe Gin F1z2', 0.7788856029510498)], [[[437.0, 357.0], [471.0, 357.0], [471.0, 371.0], [437.0, 371.0]], ('0963', 0.9068989753723145)], [[[240.0, 377.0], [266.0, 379.0], [265.0, 390.0], [239.0, 388.0]], ('.Oro', 0.7781217694282532)], [[[281.0, 388.0], [332.0, 388.0], [332.0, 399.0], [281.0, 399.0]], ('3.000', 0.973953366279602)], [[[357.0, 383.0], [390.0, 383.0], [390.0, 398.0], [357.0, 398.0]], ('8.50', 0.9826608896255493)], [[[431.0, 380.0], [471.0, 378.0], [472.0, 392.0], [432.0, 394.0]], ('25.50', 0.984717845916748)], [[[239.0, 398.0], [304.0, 400.0], [303.0, 414.0], [239.0, 412.0]], ('8t Cristal', 0.8759567141532898)], [[[427.0, 391.0], [472.0, 391.0], [472.0, 405.0], [427.0, 405.0]], ('295.00', 0.9880971908569336)], [[[238.0, 410.0], [338.0, 409.0], [338.0, 423.0], [238.0, 424.0]], ('Bt Veuve Cliquot', 0.9473266005516052)], [[[281.0, 422.0], [332.0, 420.0], [333.0, 434.0], [281.0, 436.0]], ('2.000', 0.9947596788406372)], [[[351.0, 418.0], [391.0, 418.0], [391.0, 432.0], [351.0, 432.0]], ('60.00', 0.9666213989257812)], [[[428.0, 415.0], [473.0, 415.0], [473.0, 429.0], [428.0, 429.0]], ('120.00', 0.986331045627594)], [[[235.0, 432.0], [332.0, 433.0], [332.0, 447.0], [235.0, 446.0]], ('Bt Don Perignon', 0.9215772747993469)], [[[281.0, 446.0], [332.0, 446.0], [332.0, 457.0], [281.0, 457.0]], ('2.000', 0.9929488897323608)], [[[344.0, 443.0], [391.0, 441.0], [391.0, 455.0], [345.0, 457.0]], ('180.00', 0.990007221698761)], [[[430.0, 439.0], [475.0, 439.0], [475.0, 453.0], [430.0, 453.0]], ('360.00', 0.9880767464637756)], [[[431.0, 453.0], [475.0, 453.0], [475.0, 464.0], [431.0, 464.0]], ('400.00', 0.9956995844841003)], [[[234.0, 469.0], [344.0, 469.0], [344.0, 483.0], [234.0, 483.0]], ('Bt Courvolsier VS', 0.8759856224060059)], [[[435.0, 464.0], [477.0, 464.0], [477.0, 478.0], [435.0, 478.0]], ('00083', 0.9770506024360657)], [[[233.0, 481.0], [290.0, 481.0], [290.0, 495.0], [233.0, 495.0]], ('Red Bul1', 0.8150226473808289)], [[[273.0, 495.0], [315.0, 495.0], [315.0, 506.0], [273.0, 506.0]], ('20.000', 0.9939329028129578)], [[[358.0, 491.0], [393.0, 491.0], [393.0, 505.0], [358.0, 505.0]], ('2.90', 0.9911337494850159)], [[[437.0, 489.0], [478.0, 489.0], [478.0, 503.0], [437.0, 503.0]], ('58.00', 0.9878576397895813)], [[[232.0, 504.0], [289.0, 507.0], [288.0, 521.0], [232.0, 518.0]], ('8t Tonic', 0.889223575592041)], [[[273.0, 520.0], [311.0, 520.0], [311.0, 531.0], [273.0, 531.0]], ('25.000', 0.9956851005554199)], [[[357.0, 516.0], [393.0, 516.0], [393.0, 530.0], [357.0, 530.0]], ('1.35', 0.9885126948356628)], [[[438.0, 514.0], [479.0, 514.0], [479.0, 528.0], [438.0, 528.0]], ('33.75', 0.9913164377212524)], [[[231.0, 531.0], [282.0, 533.0], [281.0, 546.0], [231.0, 544.0]], ('Bt Coke', 0.9222063422203064)], [[[272.0, 546.0], [314.0, 546.0], [314.0, 557.0], [272.0, 557.0]], ('30.000', 0.9952262043952942)], [[[356.0, 543.0], [392.0, 541.0], [394.0, 556.0], [357.0, 558.0]], ('2.10', 0.9848051071166992)], [[[439.0, 540.0], [481.0, 540.0], [481.0, 554.0], [439.0, 554.0]], ('63.00', 0.9858393669128418)], [[[229.0, 558.0], [311.0, 558.0], [311.0, 572.0], [229.0, 572.0]], ('Bt Patron X0', 0.9055349826812744)], [[[434.0, 554.0], [482.0, 554.0], [482.0, 568.0], [434.0, 568.0]], ('110.00', 0.993297278881073)], [[[228.0, 571.0], [324.0, 571.0], [324.0, 584.0], [228.0, 584.0]], ('Bt Glenfiddich', 0.9164337515830994)], [[[433.0, 567.0], [483.0, 565.0], [483.0, 580.0], [434.0, 582.0]], ('135.00', 0.9929771423339844)], [[[226.0, 584.0], [269.0, 586.0], [268.0, 600.0], [225.0, 598.0]], ("'Sourz", 0.89011150598526)], [[[267.0, 598.0], [330.0, 596.0], [330.0, 610.0], [268.0, 612.0]], ('30.000', 0.995135486125946)], [[[358.0, 596.0], [393.0, 596.0], [393.0, 611.0], [358.0, 611.0]], ('2.80', 0.987471342086792)], [[[442.0, 594.0], [485.0, 594.0], [485.0, 609.0], [442.0, 609.0]], ('84.00', 0.9933604001998901)], [[[226.0, 613.0], [348.0, 613.0], [348.0, 627.0], [226.0, 627.0]], ('Don Julio Reposado', 0.9497338533401489)], [[[269.0, 628.0], [311.0, 628.0], [311.0, 639.0], [269.0, 639.0]], ('35.000', 0.9904971122741699)], [[[358.0, 624.0], [394.0, 624.0], [394.0, 639.0], [358.0, 639.0]], ('4.00', 0.9913391470909119)], [[[435.0, 624.0], [486.0, 622.0], [486.0, 637.0], [436.0, 639.0]], ('140.00', 0.9928278923034668)], [[[224.0, 641.0], [314.0, 641.0], [314.0, 655.0], [224.0, 655.0]], ('Patron Silver', 0.9404224157333374)], [[[267.0, 656.0], [311.0, 656.0], [311.0, 670.0], [267.0, 670.0]], ('35.000', 0.9937003254890442)], [[[357.0, 654.0], [395.0, 654.0], [395.0, 669.0], [357.0, 669.0]], ('3.80', 0.9643650650978088)], [[[438.0, 653.0], [488.0, 653.0], [488.0, 667.0], [438.0, 667.0]], ('133.00', 0.9877126216888428)], [[[223.0, 671.0], [328.0, 671.0], [328.0, 685.0], [223.0, 685.0]], ('Bt Jack Daniels', 0.9279989004135132)], [[[272.0, 685.0], [329.0, 685.0], [329.0, 699.0], [272.0, 699.0]], ('2.000', 0.9957262873649597)], [[[351.0, 684.0], [395.0, 684.0], [395.0, 698.0], [351.0, 698.0]], ('80.00', 0.9818680882453918)], [[[439.0, 683.0], [489.0, 683.0], [489.0, 697.0], [439.0, 697.0]], ('160.00', 0.9954535365104675)], [[[221.0, 701.0], [302.0, 701.0], [302.0, 715.0], [221.0, 715.0]], ('8t 42 Below', 0.820206880569458)], [[[269.0, 715.0], [329.0, 715.0], [329.0, 732.0], [269.0, 732.0]], ('2.000', 0.9955095052719116)], [[[352.0, 714.0], [396.0, 714.0], [396.0, 729.0], [352.0, 729.0]], ('90.00', 0.9946093559265137)], [[[441.0, 714.0], [493.0, 714.0], [493.0, 730.0], [441.0, 730.0]], ('180.00', 0.9865366816520691)], [[[218.0, 731.0], [308.0, 733.0], [307.0, 747.0], [217.0, 745.0]], ('Bt Diet Coke', 0.9352228045463562)], [[[263.0, 748.0], [308.0, 748.0], [308.0, 763.0], [263.0, 763.0]], ('65.000', 0.9685988426208496)], [[[357.0, 745.0], [397.0, 745.0], [397.0, 763.0], [357.0, 763.0]], ('2.10', 0.9820044040679932)], [[[441.0, 745.0], [495.0, 745.0], [495.0, 762.0], [441.0, 762.0]], ('136.50', 0.9789180159568787)], [[[217.0, 765.0], [347.0, 765.0], [347.0, 779.0], [217.0, 779.0]], ('Bt Havana Especial', 0.9184336066246033)], [[[268.0, 780.0], [329.0, 780.0], [329.0, 797.0], [268.0, 797.0]], ('2.000', 0.9880924224853516)], [[[352.0, 780.0], [397.0, 780.0], [397.0, 795.0], [352.0, 795.0]], ('80.00', 0.986336350440979)], [[[442.0, 779.0], [497.0, 779.0], [497.0, 796.0], [442.0, 796.0]], ('160.00', 0.993489682674408)], [[[214.0, 798.0], [265.0, 800.0], [264.0, 814.0], [213.0, 812.0]], ('"Corona', 0.9546794295310974)], [[[260.0, 815.0], [307.0, 815.0], [307.0, 830.0], [260.0, 830.0]], ('50.000', 0.996263325214386)], [[[358.0, 813.0], [399.0, 813.0], [399.0, 831.0], [358.0, 831.0]], ('3.50', 0.9903229475021362)], [[[444.0, 813.0], [499.0, 813.0], [499.0, 830.0], [444.0, 830.0]], ('175.00', 0.9949118494987488)], [[[209.0, 853.0], [294.0, 853.0], [294.0, 878.0], [209.0, 878.0]], ('Total:', 0.9710636138916016)], [[[382.0, 851.0], [500.0, 851.0], [500.0, 879.0], [382.0, 879.0]], ('5459.10', 0.9867694973945618)], [[[206.0, 880.0], [397.0, 882.0], [397.0, 900.0], [206.0, 898.0]], ('Indicates Taxable Supply', 0.9703510403633118)], [[[262.0, 922.0], [427.0, 922.0], [427.0, 950.0], [262.0, 950.0]], ('Bar Tabs1', 0.9655306935310364)]]	{"store_name": "Aurum", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "\u00a35459.10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BtDietCoke", "item_value": "\u00a3136.50", "item_quantity": "1"}, {"item_key": "", "item_name": "AU79", "item_value": "\u00a3100.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PatronXO", "item_value": "\u00a38.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BtCiroc", "item_value": "\u00a32.80", "item_quantity": "1"}, {"item_key": "", "item_name": "BtHennesseyXO", "item_value": "\u00a38.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BtBonbaySapphire", "item_value": "\u00a314.95", "item_quantity": "1"}, {"item_key": "", "item_name": "MagnunGreyGoose", "item_value": "\u00a38.50", "item_quantity": "1"}, {"item_key": "", "item_name": "RaspberryBellini", "item_value": "\u00a33.80", "item_quantity": "1"}, {"item_key": "", "item_name": "MangoBellini", "item_value": "\u00a32.80", "item_quantity": "1"}, {"item_key": "", "item_name": "SloeGinFizz", "item_value": "\u00a3130.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Oro", "item_value": "\u00a3420.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BtCristal", "item_value": "\u00a385.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BtVeuveCliquot", "item_value": "\u00a31600.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BtDonPerignon", "item_value": "\u00a3200.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BtJeroboamVeuveCliquot", "item_value": "\u00a38.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BtCourvoisierVS", "item_value": "\u00a38.50", "item_quantity": "1"}, {"item_key": "", "item_name": "RedBull", "item_value": "\u00a38.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BtTonic", "item_value": "\u00a325.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BtCoke", "item_value": "\u00a3295.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BtPatronXO", "item_value": "\u00a3120.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BtGlenfiddich", "item_value": "\u00a3360.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sourz", "item_value": "\u00a3400.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DonJulioReposado", "item_value": "\u00a380.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PatronSilver", "item_value": "\u00a358.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BtJackDaniels", "item_value": "\u00a333.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Bt42Below", "item_value": "\u00a363.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BtHavanaEspecial", "item_value": "\u00a3110.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Corona", "item_value": "\u00a3135.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a384.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a3140.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a3133.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a3160.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a3180.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a3160.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a3175.00", "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	[[[[263.0, 19.0], [538.0, 23.0], [537.0, 107.0], [262.0, 103.0]], ('67 Pa11 Ma11', 0.853059709072113)], [[[248.0, 108.0], [575.0, 111.0], [574.0, 156.0], [248.0, 152.0]], ('Receipt Details', 0.9582028985023499)], [[[23.0, 146.0], [755.0, 161.0], [753.0, 219.0], [22.0, 204.0]], ('Member:067151350 Richard Hemming', 0.9520939588546753)], [[[29.0, 206.0], [340.0, 220.0], [338.0, 263.0], [27.0, 249.0]], ('Server: Gareth', 0.9446141123771667)], [[[26.0, 256.0], [278.0, 269.0], [275.0, 320.0], [23.0, 307.0]], ('Area:Bar', 0.9573596715927124)], [[[27.0, 315.0], [193.0, 323.0], [191.0, 367.0], [25.0, 360.0]], ('Covers:', 0.9844213128089905)], [[[271.0, 327.0], [299.0, 327.0], [299.0, 370.0], [271.0, 370.0]], ('3', 0.9996160268783569)], [[[30.0, 371.0], [193.0, 377.0], [191.0, 421.0], [28.0, 415.0]], ('Table#:', 0.9557048678398132)], [[[243.0, 378.0], [301.0, 378.0], [301.0, 425.0], [243.0, 425.0]], ('43', 0.9993016719818115)], [[[30.0, 427.0], [385.0, 435.0], [384.0, 480.0], [28.0, 471.0]], ('Chit #03000292', 0.9723051190376282)], [[[29.0, 480.0], [156.0, 486.0], [154.0, 531.0], [27.0, 525.0]], ('Date:', 0.9762957692146301)], [[[207.0, 489.0], [411.0, 489.0], [411.0, 532.0], [207.0, 532.0]], ('30Dec 15', 0.9489953517913818)], [[[472.0, 492.0], [634.0, 492.0], [634.0, 532.0], [472.0, 532.0]], ('Time:', 0.9260508418083191)], [[[618.0, 491.0], [757.0, 491.0], [757.0, 530.0], [618.0, 530.0]], ('2:57pm', 0.9627215266227722)], [[[30.0, 585.0], [189.0, 589.0], [188.0, 638.0], [28.0, 635.0]], ('2 still', 0.7936654686927795)], [[[665.0, 594.0], [762.0, 590.0], [764.0, 638.0], [668.0, 642.0]], ('0.00', 0.997390627861023)], [[[34.0, 643.0], [346.0, 650.0], [345.0, 694.0], [33.0, 687.0]], ('1 Salmon Salad', 0.9229744672775269)], [[[648.0, 648.0], [762.0, 644.0], [764.0, 692.0], [650.0, 696.0]], ('23.75', 0.9945201873779297)], [[[36.0, 698.0], [453.0, 708.0], [452.0, 751.0], [35.0, 741.0]], ('1 Red deer rigatoni', 0.946003258228302)], [[[648.0, 704.0], [764.0, 700.0], [766.0, 747.0], [650.0, 751.0]], ('26.50', 0.9556068181991577)], [[[36.0, 752.0], [258.0, 758.0], [257.0, 802.0], [35.0, 797.0]], ('1 Parsnips', 0.9478445053100586)], [[[672.0, 756.0], [767.0, 756.0], [767.0, 803.0], [672.0, 803.0]], ('4.00', 0.9950960278511047)], [[[39.0, 806.0], [389.0, 816.0], [388.0, 859.0], [38.0, 849.0]], ('1 Roast Potatoes', 0.9553875923156738)], [[[674.0, 810.0], [769.0, 810.0], [769.0, 857.0], [674.0, 857.0]], ('4.00', 0.9628878831863403)], [[[37.0, 862.0], [460.0, 870.0], [459.0, 913.0], [37.0, 905.0]], ('1 Sprout top hearts', 0.9521322846412659)], [[[676.0, 865.0], [767.0, 865.0], [767.0, 908.0], [676.0, 908.0]], ('9.25', 0.9849984645843506)], [[[38.0, 914.0], [306.0, 923.0], [305.0, 967.0], [36.0, 958.0]], ('1 Scotch Egg', 0.9507908225059509)], [[[674.0, 919.0], [770.0, 919.0], [770.0, 967.0], [674.0, 967.0]], ('8.75', 0.9961191415786743)], [[[34.0, 971.0], [285.0, 975.0], [285.0, 1019.0], [33.0, 1016.0]], ('60pen Wine', 0.926202118396759)], [[[656.0, 975.0], [770.0, 975.0], [770.0, 1021.0], [656.0, 1021.0]], ('98.00', 0.9957835078239441)], [[[373.0, 1081.0], [514.0, 1081.0], [514.0, 1170.0], [373.0, 1170.0]], ('Total:', 0.9924311637878418)], [[[613.0, 1081.0], [777.0, 1081.0], [777.0, 1167.0], [613.0, 1167.0]], ('174.25', 0.9468846321105957)], [[[176.0, 1170.0], [488.0, 1173.0], [488.0, 1218.0], [176.0, 1214.0]], ('Service Charge', 0.9741203188896179)], [[[661.0, 1168.0], [777.0, 1168.0], [777.0, 1214.0], [661.0, 1214.0]], ('21.78', 0.9961153268814087)], [[[193.0, 1281.0], [512.0, 1278.0], [513.0, 1360.0], [194.0, 1364.0]], ('Receipt Total:', 0.9740017056465149)], [[[615.0, 1278.0], [778.0, 1278.0], [778.0, 1362.0], [615.0, 1362.0]], ('196.03', 0.9287149310112)], [[[178.0, 1421.0], [463.0, 1421.0], [463.0, 1465.0], [178.0, 1465.0]], ('VAT Inclusive', 0.9820195436477661)], [[[640.0, 1419.0], [780.0, 1419.0], [780.0, 1465.0], [640.0, 1465.0]], ('29.04', 0.987531840801239)]]	{"store_name": "67PallMall", "store_addr": "", "telephone": "", "date": "30Dec15", "time": "2:57pm", "subtotal": "\u00a3174.25", "tax": "\u00a329.04", "total": "\u00a3196.03", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "OpenWine", "item_value": "98.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ScotchEgg", "item_value": "8.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Sprouttophearts", "item_value": "9.25", "item_quantity": "1"}, {"item_key": "", "item_name": "Roastpotatoes", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Parsnips", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Reddeerrigatoni", "item_value": "26.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SalmonSalad", "item_value": "23.75", "item_quantity": "1"}, {"item_key": "", "item_name": "still", "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	[[[[242.0, 36.0], [370.0, 36.0], [370.0, 58.0], [242.0, 58.0]], ('WELCOME', 0.9518543481826782)], [[[184.0, 106.0], [443.0, 106.0], [443.0, 128.0], [184.0, 128.0]], ('TP0697961', 0.8684726357460022)], [[[177.0, 143.0], [559.0, 143.0], [559.0, 167.0], [177.0, 167.0]], ('PUMP MAINSIDE SRU SI', 0.9115870594978333)], [[[175.0, 179.0], [344.0, 179.0], [344.0, 204.0], [175.0, 204.0]], ('BL0G1101', 0.9252947568893433)], [[[173.0, 218.0], [559.0, 220.0], [559.0, 246.0], [173.0, 244.0]], ('CAMP PENDLETCA 9205', 0.8952012062072754)], [[[164.0, 332.0], [244.0, 335.0], [243.0, 365.0], [163.0, 362.0]], ('DATE', 0.9984151124954224)], [[[365.0, 338.0], [519.0, 338.0], [519.0, 367.0], [365.0, 367.0]], ('10/17/12', 0.9951841831207275)], [[[164.0, 373.0], [242.0, 375.0], [241.0, 404.0], [163.0, 402.0]], ('TIME', 0.996846616268158)], [[[382.0, 377.0], [524.0, 379.0], [524.0, 408.0], [381.0, 406.0]], ('7:55AM', 0.9553551077842712)], [[[161.0, 414.0], [397.0, 420.0], [396.0, 448.0], [161.0, 442.0]], ('AUTH#50599', 0.9126650094985962)], [[[157.0, 493.0], [240.0, 496.0], [239.0, 527.0], [156.0, 525.0]], ('AMEX', 0.9963473081588745)], [[[155.0, 536.0], [315.0, 541.0], [314.0, 570.0], [154.0, 565.0]], ('PADUA/RS', 0.9920758008956909)], [[[149.0, 621.0], [232.0, 621.0], [232.0, 651.0], [149.0, 651.0]], ('PUMP', 0.9920647144317627)], [[[271.0, 624.0], [418.0, 627.0], [417.0, 655.0], [270.0, 652.0]], ('PRODUCT', 0.9895159602165222)], [[[449.0, 626.0], [518.0, 630.0], [516.0, 660.0], [447.0, 656.0]], ('PPG', 0.9371318221092224)], [[[169.0, 661.0], [212.0, 661.0], [212.0, 697.0], [169.0, 697.0]], ('12', 0.9989005327224731)], [[[288.0, 664.0], [375.0, 667.0], [374.0, 700.0], [287.0, 698.0]], ('UNLD', 0.9899219274520874)], [[[432.0, 665.0], [560.0, 668.0], [559.0, 704.0], [431.0, 702.0]], ('$4.499', 0.9875256419181824)], [[[143.0, 750.0], [285.0, 753.0], [284.0, 783.0], [143.0, 779.0]], ('GALLONS', 0.954214870929718)], [[[348.0, 753.0], [553.0, 761.0], [552.0, 793.0], [347.0, 785.0]], ('FUEL TOTAL', 0.948304295539856)], [[[163.0, 792.0], [289.0, 797.0], [288.0, 830.0], [162.0, 825.0]], ('14.88', 0.9773867726325989)], [[[410.0, 796.0], [541.0, 802.0], [539.0, 843.0], [409.0, 838.0]], ('$66.95', 0.9935126900672913)], [[[240.0, 932.0], [429.0, 940.0], [427.0, 971.0], [238.0, 963.0]], ('THANK YOU', 0.9699148535728455)]]	{"store_name": "CAMPPENDLETCA9205 PUMPMAINSIDESRUST", "store_addr": "BLDG1101", "telephone": "", "date": "10/17/12", "time": "7:55AM", "subtotal": "", "tax": "", "total": "$66.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "UNLD", "item_value": "$4.499", "item_quantity": "1"}, {"item_key": "GALLONS", "item_name": "", "item_value": "", "item_quantity": ""}, {"item_key": "PRODUCT", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[1722.0, 281.0], [2001.0, 294.0], [1997.0, 372.0], [1718.0, 359.0]], ('POST', 0.9951404333114624)], [[[994.0, 299.0], [1625.0, 287.0], [1626.0, 359.0], [995.0, 371.0]], ('AUSTRALIA', 0.9969229102134705)], [[[2016.0, 360.0], [2170.0, 360.0], [2170.0, 443.0], [2016.0, 443.0]], ('4127', 0.998903751373291)], [[[802.0, 376.0], [1225.0, 376.0], [1225.0, 454.0], [802.0, 454.0]], ('Slacks Creek', 0.9647842049598694)], [[[2043.0, 531.0], [2115.0, 531.0], [2115.0, 614.0], [2043.0, 614.0]], ('$', 0.945948600769043)], [[[1939.0, 609.0], [2142.0, 609.0], [2142.0, 708.0], [1939.0, 708.0]], ('63.05', 0.9930912256240845)], [[[796.0, 625.0], [1252.0, 625.0], [1252.0, 703.0], [796.0, 703.0]], ('Economy (Air)', 0.9208579659461975)], [[[829.0, 714.0], [1351.0, 714.0], [1351.0, 791.0], [829.0, 791.0]], ('SWEDEN-Zone 7', 0.9600547552108765)], [[[829.0, 802.0], [1620.0, 802.0], [1620.0, 880.0], [829.0, 880.0]], ('Ovr 1.50-2.00 Scale', 0.9134024381637573)], [[[829.0, 891.0], [1208.0, 891.0], [1208.0, 968.0], [829.0, 968.0]], ('Article ID:', 0.9541139602661133)], [[[829.0, 979.0], [1280.0, 979.0], [1280.0, 1057.0], [829.0, 1057.0]], ('UC168708395AU', 0.9972334504127502)], [[[829.0, 1073.0], [1692.0, 1073.0], [1692.0, 1151.0], [829.0, 1151.0]], ('Extra Cover Not Purchased', 0.9646285176277161)], [[[807.0, 1162.0], [1011.0, 1162.0], [1011.0, 1239.0], [807.0, 1239.0]], ('TOTAL', 0.9960206151008606)], [[[1895.0, 1162.0], [2115.0, 1162.0], [2115.0, 1245.0], [1895.0, 1245.0]], ('$63.05', 0.9950754642486572)], [[[802.0, 1256.0], [1692.0, 1256.0], [1692.0, 1328.0], [802.0, 1328.0]], ('Payment Tendered Details:', 0.9536478519439697)], [[[1916.0, 1320.0], [2122.0, 1336.0], [2115.0, 1435.0], [1909.0, 1420.0]], ('50.00', 0.9954665899276733)], [[[1472.0, 1334.0], [1631.0, 1334.0], [1631.0, 1417.0], [1472.0, 1417.0]], ('Cash', 0.9966386556625366)], [[[1472.0, 1422.0], [1692.0, 1422.0], [1692.0, 1505.0], [1472.0, 1505.0]], ('EFTPOS', 0.9950556755065918)], [[[1922.0, 1415.0], [2111.0, 1429.0], [2104.0, 1518.0], [1915.0, 1503.0]], ('13.05', 0.990730881690979)], [[[791.0, 1494.0], [2000.0, 1500.0], [1999.0, 1594.0], [791.0, 1588.0]], ('LPO supplied, price includes GST.', 0.9046571254730225)], [[[797.0, 1588.0], [1714.0, 1599.0], [1713.0, 1677.0], [796.0, 1665.0]], ('GST on LPO Taxable Supp1y ', 0.8894602060317993)], [[[1939.0, 1599.0], [2104.0, 1599.0], [2104.0, 1682.0], [1939.0, 1682.0]], ('0.00', 0.9976671934127808)], [[[802.0, 1760.0], [1406.0, 1760.0], [1406.0, 1837.0], [802.0, 1837.0]], ('ABN:57 680 663 768', 0.8991290330886841)], [[[1765.0, 1753.0], [2171.0, 1766.0], [2168.0, 1860.0], [1762.0, 1847.0]], ('TAX INVOICE', 0.9649473428726196)], [[[1656.0, 1919.0], [2127.0, 1938.0], [2123.0, 2032.0], [1652.0, 2013.0]], ('414027 14:03', 0.9376294016838074)], [[[807.0, 1931.0], [1505.0, 1931.0], [1505.0, 2009.0], [807.0, 2009.0]], ('14/12/16 01/31172 2/2', 0.9571375846862793)], [[[857.0, 2091.0], [2082.0, 2103.0], [2081.0, 2180.0], [857.0, 2169.0]], ("PROVIDE FEEDBACK ON TODAY'S VISIT AT", 0.9462361931800842)], [[[1088.0, 2180.0], [1840.0, 2192.0], [1839.0, 2269.0], [1087.0, 2257.0]], ('AUSPOST.COM.AU/MYVISIT', 0.9899738430976868)], [[[1349.0, 2422.0], [1567.0, 2436.0], [1562.0, 2519.0], [1344.0, 2505.0]], ('EFTPOS', 0.9949776530265808)], [[[782.0, 2495.0], [1456.0, 2518.0], [1454.0, 2602.0], [779.0, 2578.0]], ('517443######1098T)', 0.9723541736602783)], [[[1649.0, 2517.0], [2143.0, 2529.0], [2141.0, 2612.0], [1647.0, 2600.0]], ('CREDIT ACCOUNT', 0.9789532423019409)], [[[776.0, 2583.0], [1209.0, 2596.0], [1207.0, 2673.0], [774.0, 2661.0]], ('EFTPOS Tender', 0.9589272141456604)], [[[1878.0, 2593.0], [2089.0, 2608.0], [2082.0, 2708.0], [1871.0, 2693.0]], ('13.05', 0.9924213290214539)], [[[782.0, 2666.0], [1187.0, 2679.0], [1185.0, 2756.0], [779.0, 2744.0]], ('TOTAL EFTPOS', 0.9717543125152588)], [[[1883.0, 2687.0], [2078.0, 2702.0], [2071.0, 2796.0], [1876.0, 2781.0]], ('13.05', 0.9944736361503601)], [[[777.0, 2743.0], [1155.0, 2762.0], [1151.0, 2845.0], [773.0, 2826.0]], ('APPROVED 00', 0.9504942297935486)], [[[777.0, 2826.0], [1089.0, 2840.0], [1085.0, 2923.0], [773.0, 2910.0]], ('CBA Debit', 0.9543735980987549)], [[[1512.0, 2849.0], [2137.0, 2867.0], [2135.0, 2944.0], [1510.0, 2926.0]], ('AID A0000000041010', 0.9806405305862427)], [[[776.0, 2915.0], [1319.0, 2928.0], [1317.0, 3005.0], [774.0, 2993.0]], ('RRN 016554140258', 0.9728291630744934)], [[[787.0, 2998.0], [2000.0, 3027.0], [1998.0, 3105.0], [785.0, 3076.0]], ('14/12/16 14:02:58 414027 01/0165542', 0.9510195255279541)], [[[804.0, 3241.0], [2182.0, 3294.0], [2178.0, 3399.0], [801.0, 3346.0]], ("Provide feedback on today's", 0.9577015042304993)], [[[793.0, 3346.0], [2198.0, 3404.0], [2195.0, 3498.0], [790.0, 3441.0]], ('visit for your chance to win', 0.9444721341133118)], [[[811.0, 3435.0], [2182.0, 3498.0], [2177.0, 3598.0], [806.0, 3534.0]], ('$5,ooo worth of gift cards', 0.921126663684845)], [[[975.0, 3601.0], [1913.0, 3642.0], [1908.0, 3753.0], [971.0, 3711.0]], ('Phone 1800 443 930', 0.9241113662719727)], [[[1096.0, 3712.0], [1869.0, 3742.0], [1865.0, 3841.0], [1092.0, 3811.0]], ('or go online to', 0.9307506084442139)], [[[931.0, 3806.0], [2039.0, 3852.0], [2035.0, 3947.0], [927.0, 3900.0]], ('auspost.com.au/nyvisit', 0.9849907159805298)], [[[843.0, 3961.0], [2127.0, 4013.0], [2123.0, 4107.0], [839.0, 4055.0]], ('The survey takes 4 minutes to complete', 0.9523120522499084)], [[[1029.0, 4149.0], [1907.0, 4167.0], [1904.0, 4278.0], [1026.0, 4260.0]], ('Outlet ID:414027', 0.9430924654006958)], [[[880.0, 4243.0], [2055.0, 4267.0], [2053.0, 4383.0], [878.0, 4360.0]], ('Receipt number:0131172', 0.9500852227210999)], [[[887.0, 4398.0], [2066.0, 4444.0], [2063.0, 4539.0], [883.0, 4492.0]], ('Entry between 9am AEDT) 26/09/16', 0.9314980506896973)], [[[1018.0, 4498.0], [1890.0, 4527.0], [1888.0, 4605.0], [1015.0, 4575.0]], ('&1159pmAEDT28/12/16', 0.9834294319152832)], [[[1017.0, 4587.0], [1896.0, 4604.0], [1894.0, 4682.0], [1015.0, 4664.0]], ('Draw:9am AEDT) 04/01/17', 0.9081321358680725)], [[[1045.0, 4664.0], [1863.0, 4687.0], [1861.0, 4765.0], [1043.0, 4741.0]], ('Lv1 2219 Cleveland St', 0.9124695658683777)], [[[1078.0, 4747.0], [1824.0, 4770.0], [1822.0, 4848.0], [1076.0, 4824.0]], ('Strawberry Hills,NSW', 0.9361416697502136)], [[[924.0, 4830.0], [1983.0, 4853.0], [1982.0, 4931.0], [922.0, 4908.0]], ('See website for full conditions', 0.9382644891738892)], [[[952.0, 4907.0], [1934.0, 4931.0], [1932.0, 5025.0], [949.0, 5001.0]], ('inc luding privacy statement.', 0.950728714466095)], [[[930.0, 4990.0], [1984.0, 5014.0], [1981.0, 5108.0], [928.0, 5085.0]], ('^Ca11 charges may apply from a', 0.9264589548110962)], [[[925.0, 5062.0], [1973.0, 5097.0], [1970.0, 5197.0], [922.0, 5162.0]], ('mobile phone. Retain receipt/s.', 0.9576265215873718)]]	{"store_name": "AUSTRALIAPOST", "store_addr": "", "telephone": "Phone1800443930", "date": "14/12/16 14/12/16", "time": "14:03", "subtotal": "", "tax": "0.00", "total": "$63.05 TOTAL", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Economy(Air)", "item_value": "63.05", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[138.0, 44.0], [273.0, 41.0], [273.0, 81.0], [139.0, 83.0]], ('Tisch 5', 0.9452334046363831)], [[[657.0, 36.0], [848.0, 33.0], [848.0, 71.0], [658.0, 74.0]], ('16.07.2012', 0.9890955090522766)], [[[767.0, 127.0], [912.0, 127.0], [912.0, 172.0], [767.0, 172.0]], ('3,10A', 0.9479444622993469)], [[[103.0, 139.0], [345.0, 136.0], [346.0, 174.0], [104.0, 177.0]], ('Weibbier 0,51', 0.8837110996246338)], [[[105.0, 234.0], [593.0, 229.0], [593.0, 263.0], [106.0, 267.0]], ('Kleines Gasthaus-Schnitzel', 0.973779559135437)], [[[769.0, 226.0], [851.0, 223.0], [853.0, 265.0], [770.0, 268.0]], ('7,90', 0.9488608837127686)], [[[880.0, 228.0], [907.0, 228.0], [907.0, 262.0], [880.0, 262.0]], ('A', 0.9987780451774597)], [[[107.0, 326.0], [258.0, 326.0], [258.0, 364.0], [107.0, 364.0]], ('Espresso', 0.9987224340438843)], [[[771.0, 320.0], [851.0, 320.0], [851.0, 361.0], [771.0, 361.0]], ('1,90', 0.9612647294998169)], [[[880.0, 321.0], [906.0, 319.0], [909.0, 355.0], [884.0, 357.0]], ('A', 0.9990384578704834)], [[[107.0, 419.0], [385.0, 418.0], [385.0, 452.0], [107.0, 453.0]], ('Birnenbrand 2c1', 0.9697021842002869)], [[[768.0, 415.0], [850.0, 412.0], [852.0, 454.0], [769.0, 456.0]], ('2,50', 0.9625730514526367)], [[[884.0, 418.0], [906.0, 418.0], [906.0, 449.0], [884.0, 449.0]], ('A', 0.9583637714385986)], [[[103.0, 511.0], [203.0, 508.0], [204.0, 549.0], [104.0, 551.0]], ('Total', 0.9972857236862183)], [[[715.0, 509.0], [813.0, 509.0], [813.0, 549.0], [715.0, 549.0]], ('15,40', 0.9694660305976868)], [[[848.0, 513.0], [869.0, 516.0], [865.0, 544.0], [844.0, 541.0]], ('f', 0.6957077383995056)], [[[106.0, 559.0], [407.0, 556.0], [408.0, 590.0], [106.0, 592.0]], ('Umsatz 19% netto', 0.9465358853340149)], [[[601.0, 554.0], [704.0, 557.0], [703.0, 596.0], [600.0, 593.0]], ('12,94', 0.9595810770988464)], [[[105.0, 603.0], [257.0, 603.0], [257.0, 641.0], [105.0, 641.0]], ('MwSt 19%', 0.9473972916603088)], [[[614.0, 602.0], [758.0, 602.0], [758.0, 644.0], [614.0, 644.0]], ('2,46', 0.9071950316429138)], [[[884.0, 602.0], [911.0, 602.0], [911.0, 641.0], [884.0, 641.0]], ('A', 0.998474657535553)], [[[99.0, 652.0], [214.0, 652.0], [214.0, 691.0], [99.0, 691.0]], ('Bar', 0.9969893097877502)], [[[569.0, 650.0], [752.0, 650.0], [752.0, 687.0], [569.0, 687.0]], ('15.40', 0.8986716270446777)], [[[830.0, 653.0], [867.0, 653.0], [867.0, 687.0], [830.0, 687.0]], ('E', 0.7100961208343506)], [[[449.0, 696.0], [544.0, 696.0], [544.0, 736.0], [449.0, 736.0]], ('19:29', 0.9550638198852539)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "16.07.2012", "time": "19:29", "subtotal": "12,94\u20ac", "tax": "2,46\u20ac", "total": "15,40\u20ac 15,40\u20ac", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WeiBbier0,51", "item_value": "3,10", "item_quantity": "1"}, {"item_key": "", "item_name": "KleinesGasthaus-Schnitzel", "item_value": "7,90", "item_quantity": "1"}, {"item_key": "", "item_name": "Espresso", "item_value": "1,90", "item_quantity": "1"}, {"item_key": "", "item_name": "Birnenbrand2cl", "item_value": "2,50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[252.0, 10.0], [506.0, 11.0], [506.0, 35.0], [251.0, 34.0]], ('cavinteo.blogspot.com', 0.9887433648109436)], [[[202.0, 174.0], [504.0, 177.0], [504.0, 207.0], [202.0, 205.0]], ('Crossings Cafe', 0.9684996008872986)], [[[257.0, 202.0], [452.0, 205.0], [452.0, 228.0], [257.0, 226.0]], ('55 Waterloo Street', 0.9306369423866272)], [[[228.0, 225.0], [488.0, 225.0], [488.0, 252.0], [228.0, 252.0]], ('#01-01,Singapore 187954', 0.9613336324691772)], [[[281.0, 252.0], [424.0, 252.0], [424.0, 274.0], [281.0, 274.0]], ('Tel:6336 6203', 0.9057971239089966)], [[[260.0, 277.0], [456.0, 273.0], [457.0, 297.0], [261.0, 301.0]], ('GST REG201229273E', 0.9703179597854614)], [[[143.0, 322.0], [319.0, 326.0], [319.0, 349.0], [142.0, 344.0]], ('28/05/201712:57', 0.979312002658844)], [[[391.0, 323.0], [537.0, 317.0], [538.0, 339.0], [392.0, 346.0]], ('Bi1l:A057768', 0.8877878189086914)], [[[142.0, 346.0], [320.0, 350.0], [320.0, 376.0], [142.0, 372.0]], ('Table46', 0.9927853941917419)], [[[381.0, 346.0], [517.0, 341.0], [518.0, 368.0], [382.0, 373.0]], ('Pax: 7', 0.9213645458221436)], [[[142.0, 398.0], [160.0, 398.0], [160.0, 422.0], [142.0, 422.0]], ('1', 0.9756556153297424)], [[[221.0, 401.0], [410.0, 397.0], [411.0, 421.0], [221.0, 424.0]], ('Chilli Crab Pasta', 0.9420157074928284)], [[[506.0, 392.0], [565.0, 389.0], [567.0, 415.0], [507.0, 418.0]], ('17.00', 0.9960466623306274)], [[[143.0, 424.0], [161.0, 424.0], [161.0, 447.0], [143.0, 447.0]], ('1', 0.9838410019874573)], [[[510.0, 416.0], [567.0, 416.0], [567.0, 441.0], [510.0, 441.0]], ('16.00', 0.9961658716201782)], [[[222.0, 427.0], [465.0, 422.0], [466.0, 445.0], [222.0, 450.0]], ('Chicken & Mushroom Par', 0.9488583207130432)], [[[143.0, 449.0], [161.0, 449.0], [161.0, 472.0], [143.0, 472.0]], ('1', 0.9887884259223938)], [[[223.0, 451.0], [315.0, 451.0], [315.0, 475.0], [223.0, 475.0]], ('BBQ Ribs', 0.9278161525726318)], [[[511.0, 442.0], [570.0, 442.0], [570.0, 467.0], [511.0, 467.0]], ('18.00', 0.9971469044685364)], [[[145.0, 476.0], [160.0, 476.0], [160.0, 497.0], [145.0, 497.0]], ('1', 0.9893331527709961)], [[[224.0, 475.0], [349.0, 477.0], [348.0, 501.0], [223.0, 498.0]], ('Onion Rings', 0.9756467938423157)], [[[521.0, 467.0], [572.0, 467.0], [572.0, 493.0], [521.0, 493.0]], ('6.00', 0.9975682497024536)], [[[144.0, 502.0], [162.0, 502.0], [162.0, 524.0], [144.0, 524.0]], ('1', 0.9862920045852661)], [[[224.0, 503.0], [471.0, 498.0], [472.0, 522.0], [225.0, 527.0]], ('Black Mussels In White', 0.9442620873451233)], [[[515.0, 494.0], [574.0, 494.0], [574.0, 519.0], [515.0, 519.0]], ('10.00', 0.9976989030838013)], [[[147.0, 529.0], [161.0, 529.0], [161.0, 549.0], [147.0, 549.0]], ('1', 0.9939315319061279)], [[[225.0, 529.0], [472.0, 524.0], [473.0, 548.0], [226.0, 553.0]], ('Pan-Fried Miso Pork Be', 0.9503509402275085)], [[[515.0, 520.0], [574.0, 517.0], [576.0, 542.0], [516.0, 545.0]], ('15.00', 0.9950037002563477)], [[[527.0, 544.0], [576.0, 544.0], [576.0, 570.0], [527.0, 570.0]], ('5.00', 0.9974441528320312)], [[[148.0, 554.0], [162.0, 554.0], [162.0, 575.0], [148.0, 575.0]], ('1', 0.6853498220443726)], [[[228.0, 554.0], [376.0, 554.0], [376.0, 576.0], [228.0, 576.0]], ('Vanilla Latte', 0.9462632536888123)], [[[147.0, 579.0], [165.0, 579.0], [165.0, 603.0], [147.0, 603.0]], ('1', 0.9910996556282043)], [[[228.0, 579.0], [387.0, 579.0], [387.0, 602.0], [228.0, 602.0]], ('Iced Chocolate', 0.9777504801750183)], [[[529.0, 572.0], [579.0, 572.0], [579.0, 597.0], [529.0, 597.0]], ('5.50', 0.9967927932739258)], [[[148.0, 605.0], [166.0, 605.0], [166.0, 629.0], [148.0, 629.0]], ('1', 0.9934939742088318)], [[[229.0, 603.0], [344.0, 605.0], [344.0, 632.0], [229.0, 630.0]], ('0o1ong Tea', 0.8579310178756714)], [[[529.0, 598.0], [580.0, 595.0], [581.0, 621.0], [530.0, 624.0]], ('3.50', 0.9920206665992737)], [[[196.0, 631.0], [267.0, 631.0], [267.0, 656.0], [196.0, 656.0]], ('SUBTTL', 0.9962059855461121)], [[[522.0, 624.0], [583.0, 624.0], [583.0, 649.0], [522.0, 649.0]], ('96.00', 0.9964323043823242)], [[[197.0, 657.0], [323.0, 657.0], [323.0, 681.0], [197.0, 681.0]], ('10%SVC CHG', 0.9509751200675964)], [[[533.0, 650.0], [584.0, 650.0], [584.0, 675.0], [533.0, 675.0]], ('9.60', 0.989742636680603)], [[[197.0, 685.0], [270.0, 685.0], [270.0, 710.0], [197.0, 710.0]], ('7%GST', 0.9947450757026672)], [[[535.0, 676.0], [586.0, 676.0], [586.0, 702.0], [535.0, 702.0]], ('7.39', 0.9802451133728027)], [[[199.0, 738.0], [312.0, 736.0], [313.0, 759.0], [200.0, 762.0]], ('TOTAL', 0.9982703328132629)], [[[454.0, 733.0], [587.0, 728.0], [588.0, 752.0], [455.0, 757.0]], ('112.99', 0.9955466389656067)], [[[199.0, 765.0], [338.0, 763.0], [338.0, 786.0], [200.0, 789.0]], ('MASTER', 0.9964835047721863)], [[[454.0, 757.0], [590.0, 754.0], [591.0, 781.0], [455.0, 784.0]], ('112.99', 0.9943013191223145)], [[[202.0, 791.0], [252.0, 791.0], [252.0, 817.0], [202.0, 817.0]], ('4079', 0.9992023706436157)], [[[220.0, 932.0], [586.0, 921.0], [587.0, 944.0], [220.0, 954.0]], ('When you dine at Crossings Cafe,', 0.9463430047035217)], [[[218.0, 959.0], [546.0, 947.0], [547.0, 974.0], [219.0, 986.0]], ('you are directly helping the', 0.9285051226615906)], [[[221.0, 989.0], [490.0, 980.0], [491.0, 1003.0], [222.0, 1013.0]], ('community as we will be', 0.9084106683731079)], [[[222.0, 1018.0], [592.0, 1007.0], [592.0, 1029.0], [223.0, 1041.0]], ('donating all profits to charity!', 0.9363957643508911)]]	{"store_name": "CrossingsCafe", "store_addr": "55WaterlooStreet #01-01,Singapore187954", "telephone": "63366203", "date": "28/05/2017", "time": "12:57", "subtotal": "96.00", "tax": "7.39", "total": "112.99 112.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "OolongTea", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "IcedChocolate", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VanillaLatte", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Pan-FriedMisoPorkBe", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BlackMusselsInWhite", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OnionRings", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BBQRibs", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Chicken&MushroomPar", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ChilliCrabPasta", "item_value": "3.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[61.0, 53.0], [251.0, 56.0], [250.0, 70.0], [60.0, 67.0]], ('SAKAE SUSHI @ TESCO TANJUNG', 0.9317958950996399)], [[[87.0, 66.0], [223.0, 70.0], [223.0, 84.0], [86.0, 79.0]], ('APEX-PALM) SON BHD 634333X', 0.8792626857757568)], [[[105.0, 79.0], [205.0, 81.0], [204.0, 92.0], [105.0, 90.0]], ('4TESCOTANNG', 0.7540040612220764)], [[[121.0, 105.0], [203.0, 110.0], [202.0, 124.0], [121.0, 119.0]], ('TEL04-8990063', 0.979993462562561)], [[[96.0, 121.0], [209.0, 127.0], [208.0, 141.0], [96.0, 135.0]], ('GST NO000492830720', 0.9671345949172974)], [[[122.0, 135.0], [185.0, 139.0], [184.0, 152.0], [122.0, 148.0]], ('TAX INVOICE', 0.9577518105506897)], [[[39.0, 169.0], [104.0, 171.0], [103.0, 184.0], [38.0, 182.0]], ('TABLETA2', 0.9881422519683838)], [[[39.0, 182.0], [92.0, 184.0], [92.0, 195.0], [38.0, 193.0]], ('RECEIPT#', 0.9435777068138123)], [[[101.0, 184.0], [264.0, 186.0], [264.0, 199.0], [101.0, 197.0]], ('CSTTP00062019DATE25/08/2016', 0.8969842195510864)], [[[105.0, 201.0], [111.0, 201.0], [111.0, 208.0], [105.0, 208.0]], ('1', 0.9330605268478394)], [[[165.0, 194.0], [263.0, 198.0], [262.0, 223.0], [164.0, 219.0]], ('CASHRKAN', 0.7450762391090393)], [[[34.0, 216.0], [61.0, 219.0], [59.0, 231.0], [32.0, 228.0]], ('ITEM', 0.9900927543640137)], [[[163.0, 219.0], [187.0, 221.0], [185.0, 233.0], [162.0, 231.0]], ('QTY', 0.9925429821014404)], [[[199.0, 218.0], [271.0, 221.0], [270.0, 235.0], [199.0, 232.0]], ('U/P AMOUNT', 0.9179309010505676)], [[[32.0, 230.0], [88.0, 235.0], [86.0, 250.0], [30.0, 244.0]], ('Tako Away', 0.881549596786499)], [[[37.0, 243.0], [134.0, 243.0], [134.0, 256.0], [37.0, 256.0]], ('SASHIMI MORIZEN', 0.9482840895652771)], [[[181.0, 245.0], [223.0, 245.0], [223.0, 256.0], [181.0, 256.0]], ('132.99', 0.9861965775489807)], [[[244.0, 243.0], [274.0, 247.0], [272.0, 261.0], [242.0, 257.0]], ('32.99', 0.9448593258857727)], [[[31.0, 255.0], [80.0, 255.0], [80.0, 266.0], [31.0, 266.0]], ('Qty Order', 0.9342496395111084)], [[[92.0, 256.0], [100.0, 256.0], [100.0, 265.0], [92.0, 265.0]], ('1', 0.9464507699012756)], [[[115.0, 284.0], [183.0, 284.0], [183.0, 295.0], [115.0, 295.0]], ('SUB-TOTAL', 0.9772176742553711)], [[[249.0, 284.0], [278.0, 284.0], [278.0, 298.0], [249.0, 298.0]], ('32.99', 0.9891138076782227)], [[[68.0, 295.0], [185.0, 297.0], [185.0, 310.0], [68.0, 308.0]], ('10% Service Charge', 0.9531933665275574)], [[[254.0, 296.0], [280.0, 296.0], [280.0, 309.0], [254.0, 309.0]], ('000', 0.9541144967079163)], [[[112.0, 311.0], [184.0, 311.0], [184.0, 322.0], [112.0, 322.0]], ('SALESDISC', 0.9855077266693115)], [[[257.0, 306.0], [282.0, 309.0], [280.0, 324.0], [255.0, 321.0]], ('0.00', 0.9924631714820862)], [[[113.0, 326.0], [187.0, 328.0], [187.0, 342.0], [113.0, 340.0]], ('ROUNDING:', 0.963149905204773)], [[[251.0, 324.0], [285.0, 327.0], [283.0, 342.0], [250.0, 339.0]], ('(0.01)', 0.8716505169868469)], [[[19.0, 338.0], [66.0, 341.0], [66.0, 355.0], [18.0, 352.0]], ('TOTAL', 0.9971511960029602)], [[[249.0, 340.0], [284.0, 340.0], [284.0, 354.0], [249.0, 354.0]], ('33.00', 0.998449981212616)], [[[16.0, 356.0], [223.0, 354.0], [223.0, 368.0], [16.0, 370.0]], ('{xxXXXXXXXXX3532}MASTER', 0.7381479144096375)], [[[250.0, 354.0], [284.0, 354.0], [284.0, 368.0], [250.0, 368.0]], ('33.00', 0.9986112713813782)], [[[56.0, 373.0], [117.0, 376.0], [117.0, 390.0], [56.0, 388.0]], ('CHANGE', 0.9979044795036316)], [[[254.0, 374.0], [283.0, 374.0], [283.0, 388.0], [254.0, 388.0]], ('0.00', 0.9959114193916321)], [[[65.0, 393.0], [237.0, 391.0], [237.0, 405.0], [65.0, 407.0]], ('SAKAE ALSODELIVERS TOYOUI', 0.9472146034240723)], [[[33.0, 403.0], [135.0, 403.0], [135.0, 416.0], [33.0, 416.0]], ('ORDER ONLINEAT', 0.9599760174751282)], [[[121.0, 411.0], [183.0, 411.0], [183.0, 422.0], [121.0, 422.0]], ('THANK YOU', 0.9516098499298096)], [[[136.0, 404.0], [162.0, 404.0], [162.0, 411.0], [136.0, 411.0]], ('SAKI', 0.8094563484191895)], [[[176.0, 402.0], [267.0, 402.0], [267.0, 412.0], [176.0, 412.0]], ('DELIVERY.COM.MY', 0.9581872224807739)]]	{"store_name": "", "store_addr": "", "telephone": "04-899-0053", "date": "25/08/2016", "time": "17:54:00 S.PERSON: CASHIER:KAHSHEN", "subtotal": "32.99", "tax": "", "total": "33.00 33.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SASHIMIMORIZEN", "item_value": "32.99", "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	[[[[121.0, 102.0], [208.0, 111.0], [207.0, 124.0], [120.0, 115.0]], ('Badenerstrasse 78', 0.9658983945846558)], [[[110.0, 121.0], [217.0, 131.0], [216.0, 145.0], [109.0, 135.0]], ('Tel.+4144 2414272', 0.9196320176124573)], [[[133.0, 113.0], [195.0, 119.0], [194.0, 133.0], [132.0, 127.0]], ('8004.zur1ch', 0.8410549163818359)], [[[113.0, 133.0], [216.0, 142.0], [215.0, 156.0], [112.0, 147.0]], ('CHE-116.310.518MST', 0.9602016806602478)], [[[126.0, 157.0], [204.0, 163.0], [203.0, 177.0], [125.0, 171.0]], ('Rechnung Nr.3', 0.9577481150627136)], [[[49.0, 176.0], [97.0, 178.0], [97.0, 193.0], [49.0, 191.0]], ('T1sch #2', 0.8686151504516602)], [[[141.0, 171.0], [188.0, 173.0], [188.0, 187.0], [140.0, 185.0]], ('9.8.2015', 0.9897308945655823)], [[[45.0, 213.0], [204.0, 220.0], [203.0, 234.0], [44.0, 227.0]], ('1x Hommos bi Lahme a 18.50', 0.8831053376197815)], [[[42.0, 226.0], [194.0, 232.0], [194.0, 246.0], [41.0, 240.0]], ('1x Arayess Lahme a 19.50', 0.9263564944267273)], [[[233.0, 221.0], [267.0, 221.0], [267.0, 235.0], [233.0, 235.0]], ('18,50', 0.9376271367073059)], [[[41.0, 239.0], [215.0, 244.0], [215.0, 258.0], [40.0, 253.0]], ('1 x Hommos bi Snoubar a 17.50', 0.8796541094779968)], [[[235.0, 233.0], [268.0, 233.0], [268.0, 247.0], [235.0, 247.0]], ('19.50', 0.8845611810684204)], [[[235.0, 246.0], [269.0, 246.0], [269.0, 260.0], [235.0, 260.0]], ('17,50', 0.9304566383361816)], [[[40.0, 253.0], [222.0, 258.0], [222.0, 272.0], [39.0, 267.0]], ('1x Warak Inab bi1 Zet a 1350', 0.9099894762039185)], [[[275.0, 248.0], [283.0, 248.0], [283.0, 258.0], [275.0, 258.0]], ('A', 0.9972057938575745)], [[[37.0, 267.0], [192.0, 270.0], [192.0, 284.0], [36.0, 281.0]], ('1x Beste Falafel a 1350', 0.8858113288879395)], [[[235.0, 259.0], [270.0, 259.0], [270.0, 273.0], [235.0, 273.0]], ('13,50', 0.9243305921554565)], [[[237.0, 270.0], [271.0, 273.0], [270.0, 288.0], [236.0, 285.0]], ('13,50', 0.9689911007881165)], [[[277.0, 262.0], [285.0, 262.0], [285.0, 272.0], [277.0, 272.0]], ('A', 0.9988694787025452)], [[[34.0, 281.0], [188.0, 284.0], [188.0, 298.0], [34.0, 295.0]], ('1x Scheschtaouk a 24,50', 0.9114722609519958)], [[[278.0, 275.0], [286.0, 275.0], [286.0, 285.0], [278.0, 285.0]], ('A', 0.9904717206954956)], [[[32.0, 295.0], [199.0, 298.0], [199.0, 313.0], [32.0, 310.0]], ('1x Kafta bi Laban a 28,50', 0.9032480716705322)], [[[238.0, 286.0], [273.0, 286.0], [273.0, 301.0], [238.0, 301.0]], ('24,50', 0.9555677175521851)], [[[279.0, 289.0], [288.0, 289.0], [288.0, 300.0], [279.0, 300.0]], ('A', 0.9993242025375366)], [[[27.0, 309.0], [201.0, 312.0], [201.0, 330.0], [27.0, 326.0]], ('2x Elmer Citro 3d1 a 4,50', 0.9102153778076172)], [[[239.0, 301.0], [274.0, 301.0], [274.0, 316.0], [239.0, 316.0]], ('28,50', 0.9390908479690552)], [[[281.0, 305.0], [289.0, 305.0], [289.0, 315.0], [281.0, 315.0]], ('A', 0.9972203969955444)], [[[245.0, 315.0], [275.0, 315.0], [275.0, 331.0], [245.0, 331.0]], ("00'6", 0.8620820641517639)], [[[282.0, 320.0], [290.0, 320.0], [290.0, 330.0], [282.0, 330.0]], ('A', 0.9987003803253174)], [[[24.0, 343.0], [89.0, 343.0], [89.0, 369.0], [24.0, 369.0]], ('Total', 0.9738210439682007)], [[[139.0, 343.0], [269.0, 347.0], [268.0, 375.0], [138.0, 371.0]], ('CHF 144,50', 0.9129508137702942)], [[[18.0, 369.0], [134.0, 370.0], [134.0, 387.0], [18.0, 386.0]], ('Umsatz 8.0% ink1.', 0.9199966788291931)], [[[212.0, 375.0], [278.0, 375.0], [278.0, 389.0], [212.0, 389.0]], ('CHF144,50', 0.9415850043296814)], [[[16.0, 385.0], [81.0, 387.0], [80.0, 405.0], [15.0, 403.0]], ('MwSt 8.0%', 0.9468650817871094)], [[[217.0, 391.0], [283.0, 391.0], [283.0, 408.0], [217.0, 408.0]], ('CHF 10,70', 0.9085080027580261)], [[[14.0, 403.0], [59.0, 406.0], [58.0, 423.0], [13.0, 421.0]], ('Bar', 0.9977251887321472)], [[[139.0, 408.0], [182.0, 408.0], [182.0, 423.0], [139.0, 423.0]], ('CHF', 0.994846522808075)], [[[190.0, 408.0], [274.0, 408.0], [274.0, 425.0], [190.0, 425.0]], ('144,50', 0.8954712748527527)], [[[13.0, 423.0], [160.0, 426.0], [159.0, 443.0], [12.0, 440.0]], ('18:079.8.2015 2 Chef', 0.9390944242477417)], [[[258.0, 427.0], [302.0, 427.0], [302.0, 445.0], [258.0, 445.0]], ('000003', 0.9967709183692932)]]	{"store_name": "", "store_addr": "8004Zurich", "telephone": "+41442414272", "date": "9.8.2015 9.8.2015", "time": "18:07", "subtotal": "", "tax": "CHF10,70", "total": "CHF144,50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "HommosbiLahme", "item_value": "18,50", "item_quantity": "1"}, {"item_key": "", "item_name": "ArayessLahme", "item_value": "19,50", "item_quantity": "1"}, {"item_key": "", "item_name": "HommosbiSnoubar", "item_value": "17,50", "item_quantity": "1"}, {"item_key": "", "item_name": "WarakInabbilZet", "item_value": "13,50", "item_quantity": "1"}, {"item_key": "", "item_name": "BesteFalafel", "item_value": "13,50", "item_quantity": "1"}, {"item_key": "", "item_name": "Scheschtaouk", "item_value": "24,50", "item_quantity": "1"}, {"item_key": "", "item_name": "KaftabiLaban", "item_value": "28,50", "item_quantity": "1"}, {"item_key": "", "item_name": "ElmerCitro3dl", "item_value": "9,00", "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	[[[[100.0, 33.0], [327.0, 36.0], [326.0, 53.0], [99.0, 50.0]], ('The Mango Tree Pte Ltd', 0.934654176235199)], [[[118.0, 52.0], [312.0, 53.0], [312.0, 67.0], [117.0, 66.0]], ('91 East Coast Road #01-00', 0.9257662296295166)], [[[121.0, 66.0], [305.0, 67.0], [305.0, 84.0], [121.0, 83.0]], ('#02-00Singapore428791', 0.9903439879417419)], [[[119.0, 85.0], [306.0, 85.0], [306.0, 99.0], [119.0, 99.0]], ('GST Reg No:200008760G', 0.9338539838790894)], [[[137.0, 101.0], [290.0, 101.0], [290.0, 116.0], [137.0, 116.0]], ('28Jul2018 14:32PM', 0.9209391474723816)], [[[77.0, 120.0], [98.0, 120.0], [98.0, 147.0], [77.0, 147.0]], ('4', 0.9987311959266663)], [[[296.0, 116.0], [353.0, 116.0], [353.0, 134.0], [296.0, 134.0]], ('Cover:4', 0.939422607421875)], [[[75.0, 170.0], [158.0, 170.0], [158.0, 187.0], [75.0, 187.0]], ('Description', 0.9958858489990234)], [[[200.0, 167.0], [230.0, 171.0], [227.0, 191.0], [197.0, 186.0]], ('Qty', 0.9979965090751648)], [[[313.0, 166.0], [354.0, 169.0], [353.0, 188.0], [312.0, 185.0]], ('Total', 0.9980238080024719)], [[[74.0, 193.0], [187.0, 193.0], [187.0, 210.0], [74.0, 210.0]], ('Murgh Makhani', 0.9735629558563232)], [[[72.0, 212.0], [127.0, 212.0], [127.0, 229.0], [72.0, 229.0]], ('$16.00', 0.9871918559074402)], [[[199.0, 210.0], [210.0, 210.0], [210.0, 228.0], [199.0, 228.0]], ('1', 0.804634153842926)], [[[298.0, 211.0], [353.0, 211.0], [353.0, 229.0], [298.0, 229.0]], ('$16.00', 0.9959389567375183)], [[[72.0, 229.0], [151.0, 232.0], [150.0, 250.0], [71.0, 247.0]], ('Tava Dosa', 0.9422595500946045)], [[[71.0, 250.0], [116.0, 250.0], [116.0, 268.0], [71.0, 268.0]], ('$4.40', 0.9938586950302124)], [[[196.0, 248.0], [212.0, 248.0], [212.0, 268.0], [196.0, 268.0]], ('1', 0.871590256690979)], [[[308.0, 250.0], [354.0, 250.0], [354.0, 268.0], [308.0, 268.0]], ('$4.40', 0.9951800107955933)], [[[71.0, 271.0], [158.0, 271.0], [158.0, 288.0], [71.0, 288.0]], ('Garlic Naan', 0.965329110622406)], [[[69.0, 291.0], [112.0, 291.0], [112.0, 306.0], [69.0, 306.0]], ('$4.50', 0.9930251836776733)], [[[195.0, 286.0], [213.0, 288.0], [209.0, 309.0], [192.0, 307.0]], ('2', 0.9937229752540588)], [[[309.0, 288.0], [355.0, 291.0], [354.0, 310.0], [308.0, 307.0]], ('$9.00', 0.9973760843276978)], [[[67.0, 310.0], [173.0, 312.0], [173.0, 330.0], [66.0, 327.0]], ('Mango Mapas', 0.9655842185020447)], [[[64.0, 328.0], [119.0, 331.0], [118.0, 350.0], [63.0, 347.0]], ('$10.50', 0.9906362891197205)], [[[196.0, 330.0], [208.0, 330.0], [208.0, 348.0], [196.0, 348.0]], ('1', 0.6131411194801331)], [[[301.0, 330.0], [358.0, 330.0], [358.0, 352.0], [301.0, 352.0]], ('$10.50', 0.9963162541389465)], [[[209.0, 367.0], [355.0, 367.0], [355.0, 381.0], [209.0, 381.0]], ('SUB TOTAL$39.90', 0.9540865421295166)], [[[148.0, 381.0], [356.0, 382.0], [356.0, 402.0], [148.0, 401.0]], ('Svc Charge 10.00%$3.99', 0.955251932144165)], [[[211.0, 401.0], [354.0, 401.0], [354.0, 418.0], [211.0, 418.0]], ('GST7.00%$3.07', 0.9870615601539612)], [[[235.0, 418.0], [354.0, 418.0], [354.0, 435.0], [235.0, 435.0]], ('Rounding $0.04', 0.9626208543777466)]]	{"store_name": "TheMangoTreePteLtd", "store_addr": "91EastCoastRoad#01-00 #02-00Singapore428791 GSTRegNo:200008760G", "telephone": "", "date": "28Jul2018", "time": "14:32PM", "subtotal": "$39.90", "tax": "$3.07", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MurghMakhani", "item_value": "$16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TavaDosa", "item_value": "$4.40", "item_quantity": "1"}, {"item_key": "", "item_name": "GarlicNaan", "item_value": "$9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MangoMapas", "item_value": "$10.50", "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	[[[[77.0, 27.0], [158.0, 23.0], [158.0, 38.0], [77.0, 41.0]], ("NELLO'S", 0.9664851427078247)], [[[32.0, 40.0], [201.0, 36.0], [201.0, 50.0], [32.0, 54.0]], ('696 MADIS0N AVE', 0.9187296032905579)], [[[11.0, 55.0], [210.0, 48.0], [210.0, 62.0], [12.0, 70.0]], ('NEWY0RKNY10021', 0.9230726957321167)], [[[60.0, 80.0], [169.0, 78.0], [170.0, 91.0], [61.0, 93.0]], ('FRI 0CTOBER 302009', 0.9249586462974548)], [[[34.0, 95.0], [202.0, 90.0], [202.0, 103.0], [35.0, 109.0]], ('CHECK#199697-2', 0.9696078896522522)], [[[89.0, 108.0], [143.0, 108.0], [143.0, 119.0], [89.0, 119.0]], ('TABLE#15', 0.9568040370941162)], [[[66.0, 121.0], [168.0, 119.0], [169.0, 132.0], [67.0, 134.0]], ('DUPLICATE', 0.9947143197059631)], [[[31.0, 150.0], [149.0, 146.0], [149.0, 160.0], [31.0, 163.0]], ('1 MARE MONTE SPAGHETI', 0.9320477247238159)], [[[173.0, 145.0], [210.0, 145.0], [210.0, 160.0], [173.0, 160.0]], ('$39.00', 0.9910759925842285)], [[[30.0, 163.0], [143.0, 161.0], [144.0, 174.0], [30.0, 176.0]], ('1 RIGATONI SICILIANA', 0.9386143684387207)], [[[173.0, 159.0], [210.0, 159.0], [210.0, 173.0], [173.0, 173.0]], ('$36.00', 0.9910610318183899)], [[[33.0, 177.0], [88.0, 177.0], [88.0, 188.0], [33.0, 188.0]], ('1 MILANESA', 0.9401413202285767)], [[[173.0, 172.0], [210.0, 172.0], [210.0, 186.0], [173.0, 186.0]], ('$55.00', 0.9957616925239563)], [[[31.0, 190.0], [127.0, 187.0], [127.0, 202.0], [31.0, 204.0]], ('1INSALA.CARCIOFI', 0.9699391722679138)], [[[174.0, 186.0], [211.0, 186.0], [211.0, 201.0], [174.0, 201.0]], ('$18.00', 0.9961010813713074)], [[[31.0, 203.0], [128.0, 202.0], [128.0, 216.0], [31.0, 217.0]], ('2PARMESAN CHUNKS', 0.9520584940910339)], [[[174.0, 200.0], [211.0, 200.0], [211.0, 214.0], [174.0, 214.0]], ('$28.00', 0.9935910701751709)], [[[31.0, 217.0], [90.0, 215.0], [91.0, 229.0], [32.0, 232.0]], ('1 LG WATER', 0.8615714907646179)], [[[174.0, 213.0], [211.0, 213.0], [211.0, 227.0], [174.0, 227.0]], ('$12.00', 0.9917216897010803)], [[[31.0, 230.0], [90.0, 227.0], [91.0, 242.0], [32.0, 244.0]], ('5TAWNY 40', 0.8626797795295715)], [[[168.0, 227.0], [210.0, 224.0], [211.0, 239.0], [169.0, 242.0]], ('$275.00', 0.9846240282058716)], [[[31.0, 243.0], [139.0, 241.0], [139.0, 255.0], [31.0, 257.0]], ('2 TRUFFLE CARPACCIO', 0.9570705890655518)], [[[168.0, 241.0], [212.0, 238.0], [212.0, 253.0], [169.0, 255.0]], ('$200.00', 0.9953228831291199)], [[[31.0, 256.0], [129.0, 255.0], [129.0, 269.0], [31.0, 270.0]], ('2 ASPARAGUS NELLO', 0.9363844394683838)], [[[175.0, 255.0], [212.0, 255.0], [212.0, 266.0], [175.0, 266.0]], ('$80.00', 0.9406049251556396)], [[[34.0, 270.0], [102.0, 270.0], [102.0, 282.0], [34.0, 282.0]], ('3.CAPPUCCINO', 0.9361981749534607)], [[[175.0, 266.0], [212.0, 266.0], [212.0, 281.0], [175.0, 281.0]], ('$27.00', 0.9919068217277527)], [[[32.0, 284.0], [118.0, 282.0], [119.0, 295.0], [32.0, 297.0]], ('2CALAM.FRITTI', 0.8870619535446167)], [[[175.0, 280.0], [213.0, 280.0], [213.0, 294.0], [175.0, 294.0]], ('$40.00', 0.9920218586921692)], [[[33.0, 295.0], [130.0, 294.0], [130.0, 308.0], [33.0, 309.0]], ('2 PROSC.MOZARELLA', 0.9466866850852966)], [[[175.0, 293.0], [213.0, 293.0], [213.0, 307.0], [175.0, 307.0]], ('$68.00', 0.983031690120697)], [[[33.0, 308.0], [93.0, 306.0], [94.0, 320.0], [34.0, 323.0]], ('2 ESPRESSO', 0.9113734364509583)], [[[176.0, 305.0], [213.0, 305.0], [213.0, 320.0], [176.0, 320.0]], ('$15.00', 0.9942397475242615)], [[[35.0, 322.0], [94.0, 322.0], [94.0, 333.0], [35.0, 333.0]], ('1.JIRAMISU', 0.8937129974365234)], [[[177.0, 320.0], [213.0, 320.0], [213.0, 331.0], [177.0, 331.0]], ('$15.00', 0.9962708353996277)], [[[33.0, 334.0], [131.0, 332.0], [131.0, 345.0], [33.0, 347.0]], ('1 MINESTRONE VERD', 0.94230717420578)], [[[177.0, 333.0], [213.0, 331.0], [214.0, 344.0], [178.0, 346.0]], ('$18.00', 0.9960825443267822)], [[[33.0, 347.0], [156.0, 344.0], [156.0, 357.0], [34.0, 361.0]], ('3LA TACHE ROMANEE CO', 0.9419513940811157)], [[[151.0, 346.0], [212.0, 346.0], [212.0, 356.0], [151.0, 356.0]], ('515000.00', 0.9325527548789978)], [[[34.0, 360.0], [126.0, 360.0], [126.0, 373.0], [34.0, 373.0]], ('2 CHATEAU PETRUS', 0.9341579675674438)], [[[161.0, 357.0], [214.0, 357.0], [214.0, 372.0], [161.0, 372.0]], ('$10000.00', 0.9776743650436401)], [[[34.0, 375.0], [99.0, 375.0], [99.0, 385.0], [34.0, 385.0]], ('2J.W.BLUE', 0.7502225637435913)], [[[172.0, 371.0], [215.0, 371.0], [215.0, 385.0], [172.0, 385.0]], ('$150.00', 0.9895898103713989)], [[[33.0, 386.0], [153.0, 384.0], [153.0, 398.0], [33.0, 401.0]], ('3 TRUFFLE TAGLIOLINI', 0.9343105554580688)], [[[172.0, 384.0], [215.0, 384.0], [215.0, 398.0], [172.0, 398.0]], ('$585.00', 0.9805019497871399)], [[[34.0, 401.0], [215.0, 397.0], [215.0, 412.0], [34.0, 415.0]], ('2 CRISTAL ROSE magnun $10000.00', 0.9205285310745239)], [[[162.0, 425.0], [216.0, 425.0], [216.0, 439.0], [162.0, 439.0]], ('$36641.00', 0.986159086227417)], [[[47.0, 441.0], [68.0, 441.0], [68.0, 454.0], [47.0, 454.0]], ('TAX', 0.9963837265968323)], [[[152.0, 440.0], [216.0, 437.0], [217.0, 452.0], [152.0, 454.0]], ('$3251.89', 0.9715763926506042)], [[[48.0, 456.0], [97.0, 456.0], [97.0, 467.0], [48.0, 467.0]], ('SUB-TOTAL', 0.9892512559890747)], [[[153.0, 453.0], [217.0, 453.0], [217.0, 467.0], [153.0, 467.0]], ('$39892.89', 0.9690191745758057)], [[[46.0, 468.0], [94.0, 466.0], [95.0, 480.0], [46.0, 483.0]], ('20%GRAT', 0.9206839799880981)], [[[152.0, 467.0], [217.0, 465.0], [218.0, 479.0], [152.0, 482.0]], ('$7328.20', 0.984764814376831)], [[[33.0, 481.0], [93.0, 481.0], [93.0, 496.0], [33.0, 496.0]], ('TOTAL', 0.9963409304618835)], [[[109.0, 480.0], [211.0, 480.0], [211.0, 495.0], [109.0, 495.0]], ('$47221.09', 0.9834754467010498)], [[[98.0, 507.0], [151.0, 507.0], [151.0, 521.0], [98.0, 521.0]], ('THANK YOU', 0.9572789072990417)], [[[44.0, 522.0], [207.0, 520.0], [207.0, 534.0], [44.0, 536.0]], ('VISIT US AT NELLO SUMMERTIMES', 0.9159520864486694)], [[[48.0, 536.0], [206.0, 533.0], [206.0, 547.0], [48.0, 550.0]], ('136 MAIN STREETSOUTHAMPTON', 0.9434465765953064)], [[[42.0, 549.0], [207.0, 547.0], [207.0, 560.0], [42.0, 562.0]], ('631-287-5500 & ne1one1lo.us', 0.8921951055526733)], [[[48.0, 564.0], [114.0, 561.0], [115.0, 576.0], [48.0, 578.0]], ('Time:14:39', 0.9291046261787415)], [[[135.0, 563.0], [201.0, 563.0], [201.0, 575.0], [135.0, 575.0]], ('6CUSTOMERS', 0.9674944877624512)]]	{"store_name": "NELLO'S", "store_addr": "696MADISONAVE NEWYORK,NY10021", "telephone": "", "date": "FRIOCTOBER30,2009", "time": "14:39", "subtotal": "$36641.00", "tax": ":$3251.89", "total": "$47221.09", "ignore": "", "tips": ":$7328.20", "line_items": [{"item_key": "", "item_name": "MAREMONTESPAGHETI", "item_value": "$39.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RIGATONISICILIANA", "item_value": "$36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MILANESA", "item_value": "$55.00", "item_quantity": "1"}, {"item_key": "", "item_name": "INSALA.CARCIOFI", "item_value": "$18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PARMESANCHUNKS", "item_value": "$28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LGWATER", "item_value": "$12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TANNY40", "item_value": "$275.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TRUFFLECARPACCIO", "item_value": "$200.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ASPARAGUSNELLO", "item_value": "$60.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CAPPUCCINO", "item_value": "$27.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CALAM,FRITTI", "item_value": "$40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PROSC.MOZARELLA", "item_value": "$68.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ESPRESSO", "item_value": "$15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TIRAMISU", "item_value": "$15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MINESTRONEVERD", "item_value": "$18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LATACHEROMANEECO", "item_value": "$15000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHATEAUPETRUS", "item_value": "$10000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "J.W.BLUE", "item_value": "$150.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TRUFFLETAGLIOLINI", "item_value": "$585.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CRISTALROSEmagnum", "item_value": "$10000.00", "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	[[[[141.0, 87.0], [397.0, 84.0], [397.0, 108.0], [141.0, 112.0]], ('A1-G2-9,SOLARIS DUTAMAS,', 0.9441224932670593)], [[[119.0, 111.0], [421.0, 109.0], [421.0, 134.0], [119.0, 135.0]], ('DUTAMAS NO.1,JALAN DUTAMAS', 0.9590813517570496)], [[[168.0, 133.0], [370.0, 134.0], [370.0, 155.0], [168.0, 154.0]], ('50480KUALA LUMPUR', 0.9799541234970093)], [[[196.0, 156.0], [343.0, 159.0], [343.0, 179.0], [196.0, 176.0]], ('Tel:03-6201 0212', 0.9420154094696045)], [[[171.0, 180.0], [369.0, 184.0], [369.0, 204.0], [171.0, 200.0]], ('GST No.:001553772544', 0.9626764059066772)], [[[197.0, 216.0], [341.0, 219.0], [341.0, 246.0], [197.0, 243.0]], ('Tax Involce', 0.9554823040962219)], [[[47.0, 281.0], [219.0, 281.0], [219.0, 301.0], [47.0, 301.0]], ('23/08/201619:38', 0.9813795685768127)], [[[45.0, 307.0], [288.0, 309.0], [288.0, 330.0], [45.0, 327.0]], ('Tax Invoice NoA020992', 0.9382030963897705)], [[[46.0, 343.0], [201.0, 338.0], [202.0, 366.0], [47.0, 371.0]], ('Table:22', 0.9466925859451294)], [[[44.0, 385.0], [204.0, 383.0], [204.0, 404.0], [44.0, 406.0]], ('Cashler:IRFAN', 0.924906313419342)], [[[44.0, 439.0], [155.0, 439.0], [155.0, 459.0], [44.0, 459.0]], ('Description', 0.9959835410118103)], [[[278.0, 437.0], [313.0, 437.0], [313.0, 460.0], [278.0, 460.0]], ('Qty', 0.9969494342803955)], [[[327.0, 437.0], [382.0, 437.0], [382.0, 458.0], [327.0, 458.0]], ('Price', 0.9983156323432922)], [[[395.0, 437.0], [468.0, 437.0], [468.0, 455.0], [395.0, 455.0]], ('Amount', 0.9991650581359863)], [[[42.0, 462.0], [259.0, 460.0], [260.0, 480.0], [42.0, 482.0]], ('SOM TAM THAI TUK TUK', 0.9389976263046265)], [[[283.0, 462.0], [303.0, 462.0], [303.0, 481.0], [283.0, 481.0]], ('1', 0.9658845663070679)], [[[342.0, 460.0], [395.0, 460.0], [395.0, 482.0], [342.0, 482.0]], ('15.90', 0.9972835779190063)], [[[424.0, 459.0], [497.0, 459.0], [497.0, 480.0], [424.0, 480.0]], ('15.90S', 0.9895317554473877)], [[[41.0, 489.0], [210.0, 487.0], [210.0, 507.0], [41.0, 509.0]], ('PANDAN CHICKEN', 0.9588548541069031)], [[[285.0, 487.0], [302.0, 487.0], [302.0, 509.0], [285.0, 509.0]], ('1', 0.9112253785133362)], [[[341.0, 486.0], [396.0, 484.0], [397.0, 506.0], [342.0, 509.0]], ('13.90', 0.9969145059585571)], [[[425.0, 485.0], [498.0, 485.0], [498.0, 506.0], [425.0, 506.0]], ('13.90S', 0.987226665019989)], [[[42.0, 516.0], [242.0, 514.0], [242.0, 534.0], [42.0, 536.0]], ('ORI COCONUT SHAKE', 0.9496760368347168)], [[[286.0, 513.0], [302.0, 513.0], [302.0, 535.0], [286.0, 535.0]], ('1', 0.8416661620140076)], [[[343.0, 513.0], [397.0, 513.0], [397.0, 534.0], [343.0, 534.0]], ('15.90', 0.9963071942329407)], [[[427.0, 512.0], [501.0, 512.0], [501.0, 533.0], [427.0, 533.0]], ('15.90S', 0.9857367873191833)], [[[40.0, 545.0], [210.0, 541.0], [210.0, 561.0], [40.0, 565.0]], ('ICE/C THAI BORAN', 0.9408380389213562)], [[[287.0, 540.0], [303.0, 540.0], [303.0, 562.0], [287.0, 562.0]], ('1', 0.9107846617698669)], [[[344.0, 540.0], [398.0, 540.0], [398.0, 561.0], [344.0, 561.0]], ('16.90', 0.9971851110458374)], [[[427.0, 540.0], [502.0, 537.0], [502.0, 559.0], [428.0, 562.0]], ('16.90S', 0.9371326565742493)], [[[193.0, 575.0], [287.0, 575.0], [287.0, 596.0], [193.0, 596.0]], ('Sub Total', 0.9387535452842712)], [[[429.0, 570.0], [483.0, 570.0], [483.0, 592.0], [429.0, 592.0]], ('62.60', 0.9965246319770813)], [[[90.0, 604.0], [212.0, 602.0], [212.0, 622.0], [91.0, 624.0]], ('5%SVC CHG', 0.9382792711257935)], [[[441.0, 598.0], [486.0, 595.0], [488.0, 618.0], [443.0, 621.0]], ('3.13', 0.9947464466094971)], [[[90.0, 633.0], [278.0, 629.0], [279.0, 649.0], [91.0, 653.0]], ('SYSTEM ROUNDING', 0.9728063941001892)], [[[445.0, 627.0], [489.0, 627.0], [489.0, 649.0], [445.0, 649.0]], ('0.03', 0.977125883102417)], [[[88.0, 662.0], [258.0, 658.0], [259.0, 682.0], [89.0, 686.0]], ('GST payable @6%', 0.955210268497467)], [[[447.0, 656.0], [492.0, 656.0], [492.0, 678.0], [447.0, 678.0]], ('3.94', 0.9969971776008606)], [[[191.0, 689.0], [280.0, 689.0], [280.0, 714.0], [191.0, 714.0]], ('Payment', 0.9979116320610046)], [[[86.0, 719.0], [145.0, 719.0], [145.0, 744.0], [86.0, 744.0]], ('CASH', 0.9983760714530945)], [[[439.0, 714.0], [497.0, 714.0], [497.0, 739.0], [439.0, 739.0]], ('70.00', 0.9965136647224426)], [[[87.0, 749.0], [173.0, 749.0], [173.0, 773.0], [87.0, 773.0]], ('CHANGE', 0.9982011318206787)], [[[446.0, 745.0], [500.0, 745.0], [500.0, 770.0], [446.0, 770.0]], ('-0.30', 0.9716973304748535)], [[[31.0, 785.0], [348.0, 781.0], [348.0, 806.0], [31.0, 809.0]], ('Total Sales Incl.GST:RM', 0.9097893834114075)], [[[433.0, 815.0], [513.0, 815.0], [513.0, 851.0], [433.0, 851.0]], ('69.70', 0.9939715266227722)]]	{"store_name": "THAITUKTUKRESTAURANT", "store_addr": "A1-G2-9,SOLARISDUTAMAS, DUTAMASNO.1.JALANDUTAMAS 50480KUALALUMPUR", "telephone": "03-6201021", "date": "23/08/2016", "time": "19:38", "subtotal": "62.60", "tax": "3.94", "total": "69.70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SOMTAMTHAITUKTUK", "item_value": "15.90", "item_quantity": "1"}, {"item_key": "", "item_name": "PANDANCHICKEN", "item_value": "13.90", "item_quantity": "1"}, {"item_key": "", "item_name": "ORICOCONUTSHAKE", "item_value": "15.90", "item_quantity": "1"}, {"item_key": "", "item_name": "ICE/CTHAIBORAN", "item_value": "16.90", "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, 16.0], [86.0, 22.0], [84.0, 33.0], [57.0, 28.0]], ('Bar', 0.9975492358207703)], [[[53.0, 35.0], [169.0, 56.0], [166.0, 70.0], [51.0, 50.0]], ('900-904 Duval Street', 0.9266806840896606)], [[[51.0, 49.0], [162.0, 69.0], [160.0, 83.0], [48.0, 64.0]], ('Key West.FL33040', 0.9718654155731201)], [[[48.0, 66.0], [136.0, 79.0], [134.0, 93.0], [46.0, 80.0]], ('305)296-0637', 0.952293872833252)], [[[218.0, 59.0], [280.0, 64.0], [279.0, 78.0], [217.0, 73.0]], ('Jul 12,2017', 0.8673790097236633)], [[[235.0, 74.0], [282.0, 77.0], [281.0, 91.0], [234.0, 88.0]], ('5:32PM', 0.953281819820404)], [[[251.0, 88.0], [283.0, 91.0], [281.0, 106.0], [250.0, 103.0]], ('Syed', 0.9962309002876282)], [[[44.0, 99.0], [152.0, 115.0], [150.0, 129.0], [42.0, 113.0]], ('TicketOut Table 1', 0.9535026550292969)], [[[138.0, 135.0], [193.0, 141.0], [192.0, 155.0], [137.0, 149.0]], ('FOR HERE', 0.9441577196121216)], [[[33.0, 150.0], [117.0, 159.0], [115.0, 176.0], [31.0, 167.0]], ('Key Lime Pie', 0.9289913177490234)], [[[253.0, 168.0], [288.0, 171.0], [287.0, 186.0], [252.0, 184.0]], ('$5.00', 0.9853378534317017)], [[[29.0, 178.0], [159.0, 191.0], [157.0, 208.0], [27.0, 195.0]], ('Josh Cellar Rose x2', 0.922879159450531)], [[[25.0, 196.0], [114.0, 205.0], [112.0, 222.0], [23.0, 213.0]], ('$10.00 each', 0.9595159888267517)], [[[249.0, 196.0], [291.0, 198.0], [290.0, 213.0], [248.0, 211.0]], ('$20.00', 0.9974506497383118)], [[[21.0, 215.0], [64.0, 221.0], [62.0, 239.0], [18.0, 233.0]], ('Glass', 0.997235119342804)], [[[16.0, 248.0], [154.0, 258.0], [153.0, 275.0], [15.0, 265.0]], ('B-Premium Rumx2', 0.9576194882392883)], [[[14.0, 269.0], [100.0, 276.0], [99.0, 293.0], [13.0, 286.0]], ('$8.00 each)', 0.9212417602539062)], [[[251.0, 261.0], [296.0, 263.0], [295.0, 282.0], [250.0, 279.0]], ('$18.00', 0.9967740178108215)], [[[10.0, 292.0], [201.0, 301.0], [200.0, 318.0], [9.0, 309.0]], ('Bacardi Silver,Mojito ($1.00)', 0.9319304823875427)], [[[1.0, 333.0], [68.0, 336.0], [68.0, 354.0], [1.0, 351.0]], ('Subtotal', 0.9969131946563721)], [[[253.0, 339.0], [301.0, 342.0], [300.0, 361.0], [252.0, 358.0]], ('$43.00', 0.997265636920929)], [[[0.0, 358.0], [72.0, 361.0], [72.0, 379.0], [0.0, 377.0]], ('Sales Tax', 0.9655635356903076)], [[[263.0, 364.0], [302.0, 364.0], [302.0, 383.0], [263.0, 383.0]], ('$0.38', 0.9962140321731567)], [[[0.0, 386.0], [69.0, 386.0], [69.0, 404.0], [0.0, 404.0]], ('ales Tax', 0.9678391814231873)], [[[263.0, 385.0], [305.0, 388.0], [304.0, 407.0], [262.0, 404.0]], ('$0.00', 0.9962226748466492)], [[[251.0, 435.0], [306.0, 437.0], [305.0, 449.0], [250.0, 449.0]], ('$43.38', 0.8739668726921082)]]	{"store_name": "CasablancaCafeandBogart's Bar", "store_addr": "900-904DuvalStreet KeyWest,FL,33040", "telephone": "(305)296-0637", "date": "Jul12.2017", "time": "5:32PM", "subtotal": "$43.00", "tax": "$0.38", "total": "", "ignore": " $4338", "tips": "", "line_items": [{"item_key": "", "item_name": "KeyLimePie", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JoshCellarRosex2", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Glass", "item_value": "$18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "B-PremiumRumx2", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BacardiSllver,Mojito($1.00)", "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	[[[[270.0, 143.0], [342.0, 138.0], [343.0, 156.0], [271.0, 161.0]], ('BETAWI', 0.9970924258232117)], [[[248.0, 182.0], [363.0, 175.0], [364.0, 192.0], [249.0, 199.0]], ('Tel:044542329', 0.949181854724884)], [[[122.0, 205.0], [216.0, 244.0], [205.0, 271.0], [111.0, 233.0]], ('Description', 0.9961477518081665)], [[[279.0, 213.0], [458.0, 202.0], [459.0, 220.0], [280.0, 231.0]], ('Date:16/02/201620:43', 0.9606731534004211)], [[[278.0, 231.0], [378.0, 225.0], [379.0, 242.0], [279.0, 248.0]], ('User:CASH', 0.9123995900154114)], [[[358.0, 245.0], [389.0, 245.0], [389.0, 264.0], [358.0, 264.0]], ('Qty', 0.9944159388542175)], [[[412.0, 242.0], [478.0, 237.0], [479.0, 255.0], [413.0, 260.0]], ('Amount', 0.9985272884368896)], [[[380.0, 282.0], [390.0, 282.0], [390.0, 297.0], [380.0, 297.0]], ('1', 0.7640042304992676)], [[[430.0, 277.0], [475.0, 273.0], [476.0, 291.0], [431.0, 295.0]], ('32.00', 0.995785117149353)], [[[379.0, 300.0], [392.0, 300.0], [392.0, 315.0], [379.0, 315.0]], ('1', 0.9380367994308472)], [[[432.0, 294.0], [477.0, 292.0], [478.0, 310.0], [433.0, 312.0]], ('32.00', 0.9947271347045898)], [[[107.0, 304.0], [210.0, 337.0], [203.0, 358.0], [100.0, 325.0]], ('GADOGADO', 0.9928281307220459)], [[[382.0, 318.0], [394.0, 318.0], [394.0, 335.0], [382.0, 335.0]], ('1', 0.981611430644989)], [[[435.0, 313.0], [480.0, 311.0], [481.0, 330.0], [436.0, 332.0]], ('10.00', 0.9951567649841309)], [[[101.0, 324.0], [223.0, 360.0], [216.0, 384.0], [94.0, 348.0]], ('NASI GORENG', 0.9679046869277954)], [[[382.0, 338.0], [394.0, 338.0], [394.0, 355.0], [382.0, 355.0]], ('1', 0.934679388999939)], [[[436.0, 334.0], [483.0, 331.0], [484.0, 349.0], [437.0, 352.0]], ('32.00', 0.9958027005195618)], [[[99.0, 347.0], [190.0, 377.0], [183.0, 398.0], [92.0, 368.0]], ('SATEAYAM', 0.9944213628768921)], [[[383.0, 359.0], [395.0, 359.0], [395.0, 377.0], [383.0, 377.0]], ('1', 0.6179066896438599)], [[[439.0, 354.0], [485.0, 351.0], [486.0, 370.0], [440.0, 373.0]], ('32.00', 0.9964834451675415)], [[[93.0, 371.0], [192.0, 401.0], [186.0, 422.0], [87.0, 392.0]], ('SOTOAYAM', 0.9918692111968994)], [[[384.0, 382.0], [397.0, 382.0], [397.0, 401.0], [384.0, 401.0]], ('1', 0.9562947750091553)], [[[442.0, 376.0], [489.0, 376.0], [489.0, 395.0], [442.0, 395.0]], ('32.00', 0.9950883984565735)], [[[90.0, 396.0], [190.0, 424.0], [184.0, 446.0], [84.0, 418.0]], ('SOTOAYAM', 0.993226170539856)], [[[383.0, 402.0], [400.0, 402.0], [400.0, 424.0], [383.0, 424.0]], ('2', 0.99642014503479)], [[[442.0, 399.0], [493.0, 397.0], [494.0, 417.0], [443.0, 420.0]], ('64.00', 0.9964615106582642)], [[[83.0, 420.0], [188.0, 448.0], [181.0, 473.0], [76.0, 445.0]], ('ES CENDOL', 0.9441053867340088)], [[[387.0, 428.0], [400.0, 428.0], [400.0, 447.0], [387.0, 447.0]], ('1', 0.933832585811615)], [[[445.0, 422.0], [496.0, 419.0], [497.0, 441.0], [446.0, 444.0]], ('27.00', 0.9957693219184875)], [[[386.0, 452.0], [403.0, 452.0], [403.0, 473.0], [386.0, 473.0]], ('2', 0.9976047277450562)], [[[448.0, 448.0], [499.0, 445.0], [500.0, 467.0], [449.0, 470.0]], ('20.00', 0.9971665143966675)], [[[74.0, 477.0], [231.0, 508.0], [225.0, 536.0], [68.0, 505.0]], ('BILLAMOUNT', 0.9957587122917175)], [[[68.0, 512.0], [283.0, 548.0], [277.0, 579.0], [63.0, 543.0]], ('STAFF NAME Joy', 0.8959916830062866)], [[[429.0, 503.0], [506.0, 499.0], [507.0, 525.0], [430.0, 529.0]], ('281.00', 0.9968661665916443)], [[[59.0, 564.0], [246.0, 593.0], [242.0, 624.0], [55.0, 595.0]], ('TABLENO T7', 0.9451446533203125)]]	{"store_name": "BETAWI", "store_addr": "JLTCluSterD.LakeTerraceBldg.", "telephone": "044542329", "date": "16/02/2016", "time": "20:43", "subtotal": "", "tax": "", "total": "281.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BAKSOMEATBALLSOUP", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BIHUNGORENG", "item_value": "27.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BOTTLEDWATERLARGE", "item_value": "64.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GADOGADO", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NASIGORENG", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SATEAYAM", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SOTOAYAM", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SOTOAYAM", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ESCENDOL", "item_value": "32.00", "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	[[[[371.0, 178.0], [556.0, 203.0], [552.0, 228.0], [367.0, 204.0]], ('Hess 30306', 0.8991985321044922)], [[[293.0, 200.0], [619.0, 248.0], [614.0, 278.0], [289.0, 230.0]], ('973 Memorial Pkwy.', 0.9122592210769653)], [[[288.0, 240.0], [586.0, 280.0], [582.0, 309.0], [284.0, 270.0]], ('Phillipsburg, NJ', 0.9286860227584839)], [[[398.0, 289.0], [493.0, 301.0], [489.0, 331.0], [394.0, 319.0]], ('08865', 0.995363712310791)], [[[257.0, 349.0], [613.0, 389.0], [610.0, 417.0], [254.0, 377.0]], ('10/19/201215:46:13', 0.9699378609657288)], [[[246.0, 422.0], [606.0, 462.0], [602.0, 491.0], [243.0, 451.0]], ('Term JD34238367001', 0.9560301303863525)], [[[240.0, 463.0], [472.0, 485.0], [469.0, 515.0], [237.0, 493.0]], ('Appr:869134', 0.9489212036132812)], [[[233.0, 498.0], [468.0, 524.0], [465.0, 556.0], [230.0, 530.0]], ('Seq#004753', 0.9863176345825195)], [[[222.0, 575.0], [439.0, 597.0], [435.0, 630.0], [219.0, 608.0]], ('Unl Regular', 0.9241548180580139)], [[[217.0, 615.0], [376.0, 630.0], [373.0, 660.0], [214.0, 644.0]], ('PUMP NO.', 0.9077435731887817)], [[[211.0, 654.0], [353.0, 669.0], [350.0, 697.0], [208.0, 683.0]], ('GALLONS', 0.997324526309967)], [[[574.0, 652.0], [616.0, 652.0], [616.0, 683.0], [574.0, 683.0]], ('11', 0.9978040456771851)], [[[495.0, 682.0], [614.0, 692.0], [611.0, 722.0], [492.0, 712.0]], ('16.397', 0.9950032830238342)], [[[205.0, 695.0], [385.0, 711.0], [382.0, 741.0], [202.0, 725.0]], ('PRICE/GAL', 0.9958279728889465)], [[[490.0, 719.0], [613.0, 731.0], [610.0, 765.0], [486.0, 753.0]], ('$3.549', 0.994035542011261)], [[[198.0, 735.0], [403.0, 755.0], [400.0, 785.0], [195.0, 765.0]], ('FUEL TOTAL', 0.9542809724807739)], [[[487.0, 761.0], [611.0, 771.0], [608.0, 805.0], [484.0, 795.0]], ('$58.19', 0.9960310459136963)], [[[190.0, 819.0], [440.0, 844.0], [437.0, 873.0], [187.0, 849.0]], ('TOTAL AMOUNT', 0.973086416721344)], [[[478.0, 843.0], [608.0, 854.0], [604.0, 892.0], [474.0, 880.0]], ('$58.19', 0.991485059261322)], [[[175.0, 901.0], [262.0, 912.0], [257.0, 948.0], [170.0, 937.0]], ('Visa', 0.9437031745910645)]]	{"store_name": "Hess30300", "store_addr": "973MemorialPkwy. 08865 Phillipsburg,NJ", "telephone": "", "date": "10/19/2012", "time": "15:46:13", "subtotal": "", "tax": "", "total": "$58.19", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "UnlRegular", "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	[[[[410.0, 38.0], [499.0, 43.0], [499.0, 59.0], [409.0, 54.0]], ('AUSTRALIA', 0.9931771755218506)], [[[382.0, 51.0], [491.0, 55.0], [490.0, 70.0], [382.0, 66.0]], ('Ciarenont Post off ice', 0.8953416347503662)], [[[514.0, 43.0], [553.0, 43.0], [553.0, 55.0], [514.0, 55.0]], ('POST', 0.9958153963088989)], [[[554.0, 54.0], [577.0, 54.0], [577.0, 67.0], [554.0, 67.0]], ('5010', 0.9453675746917725)], [[[383.0, 86.0], [463.0, 86.0], [463.0, 105.0], [383.0, 105.0]], ('Parcel Post x2', 0.8403804898262024)], [[[546.0, 90.0], [582.0, 90.0], [582.0, 102.0], [546.0, 102.0]], ('14.40 ', 0.931922972202301)], [[[387.0, 101.0], [445.0, 98.0], [446.0, 113.0], [388.0, 116.0]], ('Article ID.', 0.8616260886192322)], [[[388.0, 113.0], [460.0, 110.0], [461.0, 125.0], [389.0, 128.0]], ('61257184909099', 0.9647080302238464)], [[[389.0, 126.0], [460.0, 120.0], [461.0, 135.0], [390.0, 141.0]], ('61257184910095', 0.9902756810188293)], [[[389.0, 138.0], [516.0, 134.0], [516.0, 150.0], [390.0, 153.0]], ('Extra Cover Not Purchased', 0.9604118466377258)], [[[387.0, 152.0], [415.0, 152.0], [415.0, 164.0], [387.0, 164.0]], ('TOTAL', 0.9955537915229797)], [[[542.0, 147.0], [576.0, 147.0], [576.0, 163.0], [542.0, 163.0]], ('$14.40', 0.9775519371032715)], [[[384.0, 161.0], [517.0, 154.0], [518.0, 172.0], [385.0, 179.0]], ('Payzent Tendared Deta is', 0.8467200398445129)], [[[482.0, 174.0], [517.0, 174.0], [517.0, 186.0], [482.0, 186.0]], ('EFTPOS', 0.9840478897094727)], [[[547.0, 171.0], [577.0, 171.0], [577.0, 186.0], [547.0, 186.0]], ('14.40', 0.9566009640693665)], [[[386.0, 182.0], [568.0, 180.0], [569.0, 199.0], [386.0, 201.0]], ('POST sup led.price Includes GSi', 0.7948351502418518)], [[[385.0, 198.0], [530.0, 195.0], [530.0, 211.0], [385.0, 213.0]], ('GST on POST Taxable Suppiy', 0.9070056676864624)], [[[549.0, 196.0], [575.0, 196.0], [575.0, 209.0], [549.0, 209.0]], ('1.31', 0.9862123131752014)], [[[386.0, 222.0], [479.0, 219.0], [479.0, 235.0], [386.0, 237.0]], ('ABN:28864970579', 0.9525215029716492)], [[[530.0, 218.0], [588.0, 218.0], [588.0, 234.0], [530.0, 234.0]], ('TAX INVOICE', 0.9222394824028015)], [[[470.0, 256.0], [505.0, 256.0], [505.0, 271.0], [470.0, 271.0]], ('EFTPOS', 0.9438681602478027)], [[[388.0, 270.0], [485.0, 270.0], [485.0, 284.0], [388.0, 284.0]], ('376086##1016 (S)', 0.885113000869751)], [[[514.0, 267.0], [588.0, 264.0], [589.0, 279.0], [514.0, 282.0]], ('CREDIT ACCOUNT', 0.9507614970207214)], [[[388.0, 283.0], [453.0, 284.0], [453.0, 296.0], [388.0, 295.0]], ('EFTPOs Tender', 0.874387800693512)], [[[553.0, 280.0], [580.0, 280.0], [580.0, 292.0], [553.0, 292.0]], ('14.40', 0.9809096455574036)], [[[387.0, 294.0], [450.0, 291.0], [450.0, 307.0], [388.0, 309.0]], ('TOTAL EFTPOS', 0.9477510452270508)], [[[553.0, 292.0], [580.0, 292.0], [580.0, 305.0], [553.0, 305.0]], ('14.40', 0.9834686517715454)], [[[389.0, 308.0], [447.0, 308.0], [447.0, 320.0], [389.0, 320.0]], ('APPROVED.00', 0.9618917107582092)], [[[389.0, 320.0], [414.0, 320.0], [414.0, 332.0], [389.0, 332.0]], ('AMEX', 0.9914805293083191)], [[[387.0, 331.0], [470.0, 327.0], [471.0, 342.0], [388.0, 345.0]], ('RRN 007849150426', 0.9522676467895508)], [[[387.0, 344.0], [581.0, 337.0], [582.0, 352.0], [388.0, 358.0]], ('09/05/14 15:04:26632577.03/0078493', 0.9440326690673828)], [[[398.0, 368.0], [576.0, 361.0], [576.0, 376.0], [398.0, 383.0]], ('If you have purchased an iten which', 0.9192619323730469)], [[[429.0, 378.0], [550.0, 375.0], [551.0, 390.0], [429.0, 393.0]], ('includes tracking.visit', 0.8843909502029419)], [[[429.0, 392.0], [550.0, 388.0], [551.0, 402.0], [429.0, 407.0]], ('ww.auspost.com.au/track', 0.9392187595367432)], [[[404.0, 415.0], [575.0, 411.0], [575.0, 425.0], [404.0, 429.0]], ('View the Australia Post Terms and', 0.9292814135551453)], [[[391.0, 429.0], [586.0, 425.0], [587.0, 438.0], [392.0, 442.0]], ('Condst fons online at .euspost.com.ou', 0.8336116075515747)], [[[426.0, 463.0], [573.0, 461.0], [573.0, 481.0], [426.0, 483.0]], ('Win $25000*if you', 0.9397163391113281)], [[[411.0, 479.0], [583.0, 475.0], [584.0, 494.0], [411.0, 497.0]], ('pay.your bill in-store.', 0.9187719821929932)], [[[398.0, 494.0], [601.0, 489.0], [602.0, 507.0], [398.0, 511.0]], ('Hore bills yoy pay the nore', 0.9079754948616028)], [[[409.0, 509.0], [586.0, 505.0], [587.0, 520.0], [410.0, 524.0]], ('chances you have to uin.', 0.9393112659454346)], [[[417.0, 532.0], [583.0, 527.0], [584.0, 546.0], [417.0, 551.0]], ('Enter your details and', 0.9690370559692383)], [[[436.0, 547.0], [566.0, 547.0], [566.0, 563.0], [436.0, 563.0]], ('Receipt nunber at', 0.9673192501068115)], [[[411.0, 560.0], [592.0, 557.0], [592.0, 576.0], [411.0, 579.0]], ('auspost.con.au/payandwin', 0.9823077321052551)], [[[413.0, 583.0], [593.0, 583.0], [593.0, 599.0], [413.0, 599.0]], ('Promot 1ona1 per1od 9am 28 Apr11 to', 0.8437286019325256)], [[[426.0, 599.0], [580.0, 599.0], [580.0, 610.0], [426.0, 610.0]], ('1159p29June 2014.Terms and', 0.9553772807121277)], [[[410.0, 610.0], [597.0, 608.0], [597.0, 624.0], [410.0, 625.0]], ('condit ions apply and are ava1lable at', 0.8885058164596558)], [[[403.0, 630.0], [603.0, 633.0], [603.0, 650.0], [403.0, 648.0]], ('Post Billpay avaflable at participating', 0.863357424736023)], [[[444.0, 621.0], [565.0, 623.0], [565.0, 635.0], [444.0, 634.0]], ('auspost.com.au/payandwin', 0.9413578510284424)], [[[480.0, 649.0], [523.0, 649.0], [523.0, 661.0], [480.0, 661.0]], ('outlets.', 0.8942342400550842)], [[[399.0, 668.0], [592.0, 672.0], [592.0, 687.0], [399.0, 684.0]], ('09/06/1403/661693/363257715:05', 0.9609358906745911)], [[[402.0, 690.0], [591.0, 696.0], [591.0, 715.0], [402.0, 709.0]], ('SENDING PARCELS IS AS SIMPLE AS 1,23.', 0.9042184948921204)]]	{"store_name": "AUSTRALIAPOST", "store_addr": "5010", "telephone": "", "date": "09/05/14 09/06/14", "time": "15:05", "subtotal": "", "tax": "1.31", "total": "$14.40", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ParcelPost", "item_value": "14.40", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[104.0, 74.0], [229.0, 78.0], [228.0, 93.0], [104.0, 88.0]], ('Browns Covent Gardens', 0.9712084531784058)], [[[120.0, 88.0], [218.0, 90.0], [218.0, 105.0], [120.0, 102.0]], ("St Martin's Lane", 0.9553589820861816)], [[[143.0, 101.0], [196.0, 104.0], [196.0, 118.0], [143.0, 115.0]], ('WC2N4AG', 0.9692419767379761)], [[[51.0, 131.0], [141.0, 131.0], [141.0, 145.0], [51.0, 145.0]], ('ZA174785-P0S-10', 0.9660341739654541)], [[[50.0, 142.0], [101.0, 146.0], [100.0, 160.0], [49.0, 156.0]], ('f11ippe2', 0.8986905813217163)], [[[184.0, 145.0], [289.0, 146.0], [289.0, 163.0], [183.0, 162.0]], ('20 May 2017 18:20', 0.9331672191619873)], [[[47.0, 166.0], [141.0, 173.0], [139.0, 190.0], [46.0, 184.0]], ('Table41 c2', 0.9287906885147095)], [[[213.0, 174.0], [289.0, 176.0], [289.0, 193.0], [212.0, 191.0]], ('Acc No4917', 0.9323371648788452)], [[[45.0, 184.0], [129.0, 189.0], [128.0, 203.0], [44.0, 198.0]], ('RHIAN SLIPPER', 0.9640251994132996)], [[[61.0, 215.0], [73.0, 215.0], [73.0, 229.0], [61.0, 229.0]], ('1', 0.9570410251617432)], [[[98.0, 215.0], [194.0, 217.0], [194.0, 234.0], [98.0, 232.0]], ('Afternoon Tea 2', 0.9631171822547913)], [[[233.0, 219.0], [242.0, 219.0], [242.0, 231.0], [233.0, 231.0]], ('=', 0.7769909501075745)], [[[256.0, 215.0], [293.0, 217.0], [292.0, 232.0], [255.0, 230.0]], ('28.00', 0.9964078664779663)], [[[113.0, 230.0], [212.0, 232.0], [212.0, 249.0], [112.0, 247.0]], ('125MercierBicdeN', 0.9354909062385559)], [[[232.0, 232.0], [244.0, 232.0], [244.0, 246.0], [232.0, 246.0]], ('=', 0.8088725209236145)], [[[262.0, 231.0], [294.0, 231.0], [294.0, 248.0], [262.0, 248.0]], ('5.95', 0.9975618124008179)], [[[111.0, 245.0], [212.0, 247.0], [212.0, 264.0], [110.0, 262.0]], ('125MercierBIcdeN', 0.9410094022750854)], [[[232.0, 246.0], [244.0, 246.0], [244.0, 260.0], [232.0, 260.0]], ('=', 0.8278312683105469)], [[[265.0, 246.0], [295.0, 246.0], [295.0, 261.0], [265.0, 261.0]], ('5.95', 0.9970178604125977)], [[[59.0, 261.0], [67.0, 261.0], [67.0, 274.0], [59.0, 274.0]], ('1', 0.8735541701316833)], [[[97.0, 260.0], [168.0, 263.0], [168.0, 278.0], [97.0, 275.0]], ('RhuCCollins', 0.9343693256378174)], [[[234.0, 263.0], [244.0, 263.0], [244.0, 274.0], [234.0, 274.0]], ('=', 0.5916044116020203)], [[[266.0, 261.0], [296.0, 261.0], [296.0, 277.0], [266.0, 277.0]], ('7.50', 0.991413950920105)], [[[58.0, 276.0], [67.0, 276.0], [67.0, 291.0], [58.0, 291.0]], ('1', 0.9250370860099792)], [[[95.0, 275.0], [187.0, 277.0], [187.0, 294.0], [95.0, 292.0]], ('British Royale', 0.9744163155555725)], [[[233.0, 277.0], [245.0, 277.0], [245.0, 291.0], [233.0, 291.0]], ('=', 0.613676130771637)], [[[266.0, 274.0], [298.0, 277.0], [297.0, 296.0], [265.0, 293.0]], ('7.50', 0.9953306913375854)], [[[56.0, 289.0], [69.0, 291.0], [66.0, 308.0], [53.0, 306.0]], ('2', 0.9945781230926514)], [[[96.0, 292.0], [131.0, 292.0], [131.0, 307.0], [96.0, 307.0]], ('250m1', 0.8978652954101562)], [[[96.0, 308.0], [199.0, 308.0], [199.0, 322.0], [96.0, 322.0]], ('MontRochViognier', 0.9807149171829224)], [[[262.0, 308.0], [300.0, 308.0], [300.0, 326.0], [262.0, 326.0]], ('17.70', 0.991707444190979)], [[[32.0, 341.0], [89.0, 341.0], [89.0, 358.0], [32.0, 358.0]], ('Subtotal', 0.993705153465271)], [[[263.0, 340.0], [303.0, 343.0], [302.0, 362.0], [262.0, 359.0]], ('72.60', 0.992466151714325)], [[[29.0, 358.0], [82.0, 358.0], [82.0, 375.0], [29.0, 375.0]], ('Service', 0.9979016184806824)], [[[269.0, 358.0], [304.0, 361.0], [302.0, 380.0], [267.0, 377.0]], ('7.26', 0.9915471076965332)], [[[27.0, 394.0], [173.0, 394.0], [173.0, 411.0], [27.0, 411.0]], ('Product Group Summary', 0.9735806584358215)], [[[25.0, 413.0], [127.0, 411.0], [127.0, 428.0], [25.0, 430.0]], ('Food And Drink', 0.9770116209983826)], [[[231.0, 408.0], [271.0, 411.0], [270.0, 430.0], [230.0, 428.0]], ('79.86', 0.9904472231864929)]]	{"store_name": "BrownsCoventGardens", "store_addr": "StMartin'sLane WC2N4AG", "telephone": "", "date": "20May2017", "time": "18:20", "subtotal": "72.60", "tax": "", "total": "79.86", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AfternoonTea2", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "125MercierBlcdeN", "item_value": "17.70", "item_quantity": "1"}, {"item_key": "", "item_name": "125MercierBlcdeN", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RhuCCollins", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BritishRoyale", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "250ml", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MontRochViognier", "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	[[[[58.0, 6.0], [98.0, 6.0], [98.0, 17.0], [58.0, 17.0]], ('Tab:', 0.9721829295158386)], [[[118.0, 2.0], [193.0, 0.0], [193.0, 14.0], [118.0, 16.0]], ('1 Custs', 0.9289162755012512)], [[[54.0, 28.0], [130.0, 23.0], [131.0, 37.0], [55.0, 42.0]], ('Check128665', 0.9717100262641907)], [[[53.0, 40.0], [130.0, 35.0], [131.0, 49.0], [54.0, 54.0]], ('Date:02/19/17', 0.9642360210418701)], [[[200.0, 31.0], [274.0, 27.0], [275.0, 41.0], [201.0, 45.0]], ('Time:0323pm', 0.8724915981292725)], [[[54.0, 61.0], [110.0, 61.0], [110.0, 75.0], [54.0, 75.0]], ('-[Seat1]', 0.8427087068557739)], [[[252.0, 63.0], [284.0, 63.0], [284.0, 78.0], [252.0, 78.0]], ('$6.00', 0.9873669743537903)], [[[62.0, 74.0], [151.0, 71.0], [151.0, 85.0], [63.0, 88.0]], ('1 Tokyo Ramen', 0.9047286510467529)], [[[77.0, 87.0], [147.0, 84.0], [148.0, 98.0], [78.0, 101.0]], ('*Soft Egg $1', 0.8935645222663879)], [[[254.0, 89.0], [287.0, 89.0], [287.0, 103.0], [254.0, 103.0]], ('$3.50', 0.9965041875839233)], [[[62.0, 100.0], [167.0, 95.0], [167.0, 110.0], [63.0, 115.0]], ('1H Yakitori Thigh', 0.9219852089881897)], [[[103.0, 123.0], [156.0, 119.0], [157.0, 134.0], [105.0, 138.0]], ('Subtotal:', 0.9791289567947388)], [[[251.0, 114.0], [285.0, 114.0], [285.0, 129.0], [251.0, 129.0]], ('$9.50', 0.9936606287956238)], [[[109.0, 135.0], [156.0, 135.0], [156.0, 149.0], [109.0, 149.0]], ('Amt Due:', 0.8840968608856201)], [[[221.0, 128.0], [284.0, 125.0], [285.0, 142.0], [222.0, 145.0]], ('$9.50', 0.9841370582580566)], [[[136.0, 159.0], [196.0, 156.0], [197.0, 173.0], [137.0, 176.0]], ('THANK YOU,', 0.9105014801025391)], [[[135.0, 201.0], [198.0, 199.0], [199.0, 215.0], [136.0, 218.0]], ('SERVED BY:', 0.907131552696228)], [[[153.0, 217.0], [183.0, 217.0], [183.0, 232.0], [153.0, 232.0]], ('Cole', 0.9936200380325317)], [[[93.0, 248.0], [243.0, 243.0], [243.0, 260.0], [93.0, 265.0]], ('A 18% tip would be $1.71', 0.9141177535057068)], [[[91.0, 279.0], [246.0, 276.0], [246.0, 292.0], [91.0, 295.0]], ('A 20x tip would be $1.90', 0.9189831614494324)], [[[90.0, 310.0], [247.0, 309.0], [247.0, 326.0], [90.0, 327.0]], ('A 25% tip would be $2.37', 0.9258103966712952)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "02/19/17", "time": "03:23pm", "subtotal": "$9.50", "tax": "", "total": "$9.50", "ignore": "", "tips": "$1.71 $1.90 $2.37", "line_items": [{"item_key": "", "item_name": "NHYakitoriThigh", "item_value": "$3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "*SoftEgg$1", "item_value": "$6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HHTokyoRamen", "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	[[[[34.0, 37.0], [137.0, 45.0], [136.0, 58.0], [33.0, 50.0]], ('1/4/201511:15AM', 0.9213227033615112)], [[[33.0, 49.0], [82.0, 54.0], [80.0, 68.0], [31.0, 63.0]], ('Store:1', 0.9403130412101746)], [[[175.0, 49.0], [305.0, 52.0], [304.0, 66.0], [175.0, 63.0]], ('Sales Recelpt #351906', 0.9288206696510315)], [[[23.0, 132.0], [87.0, 136.0], [87.0, 150.0], [22.0, 146.0]], ('Item Name', 0.9369850158691406)], [[[20.0, 144.0], [131.0, 150.0], [130.0, 166.0], [19.0, 161.0]], ('MAJESTIC WAX&', 0.957265317440033)], [[[155.0, 143.0], [177.0, 143.0], [177.0, 155.0], [155.0, 155.0]], ('Qty', 0.9660251140594482)], [[[193.0, 141.0], [238.0, 141.0], [238.0, 155.0], [193.0, 155.0]], ('Price', 0.9849677085876465)], [[[234.0, 140.0], [293.0, 143.0], [292.0, 156.0], [233.0, 154.0]], ('Ext Price', 0.9235295057296753)], [[[166.0, 155.0], [227.0, 155.0], [227.0, 169.0], [166.0, 169.0]], ('1S29.99', 0.9094734787940979)], [[[250.0, 154.0], [307.0, 157.0], [306.0, 171.0], [249.0, 168.0]], ('$29.99N', 0.9296026229858398)], [[[50.0, 176.0], [139.0, 183.0], [138.0, 198.0], [49.0, 190.0]], ('Local Sales Tax', 0.9216363430023193)], [[[188.0, 169.0], [240.0, 171.0], [240.0, 185.0], [188.0, 183.0]], ('Subtotal:', 0.9801953434944153)], [[[266.0, 170.0], [310.0, 172.0], [309.0, 187.0], [265.0, 185.0]], ('$29.99', 0.988457977771759)], [[[188.0, 184.0], [238.0, 186.0], [238.0, 201.0], [188.0, 199.0]], ('0%Tax', 0.8840703964233398)], [[[262.0, 186.0], [311.0, 188.0], [310.0, 203.0], [262.0, 200.0]], ('+$0.00', 0.9846789240837097)], [[[136.0, 199.0], [238.0, 202.0], [238.0, 216.0], [135.0, 212.0]], ('RECEIPT TOTAL:', 0.9554423689842224)], [[[266.0, 201.0], [311.0, 204.0], [310.0, 219.0], [265.0, 216.0]], ('$29.99', 0.9971137046813965)], [[[15.0, 213.0], [165.0, 223.0], [165.0, 237.0], [15.0, 227.0]], ('Amount Tendered$40.00', 0.9647742509841919)], [[[34.0, 229.0], [164.0, 238.0], [163.0, 254.0], [33.0, 246.0]], ('Change Given$10.01', 0.9420993328094482)], [[[67.0, 258.0], [146.0, 262.0], [145.0, 279.0], [66.0, 275.0]], ('Cash$40.00', 0.9761873483657837)], [[[60.0, 284.0], [252.0, 299.0], [250.0, 316.0], [59.0, 301.0]], ('t Was Our Pieasure Serving you', 0.9269506931304932)], [[[87.0, 301.0], [218.0, 313.0], [216.0, 330.0], [86.0, 318.0]], ('Have a Wonderful Day', 0.9502727389335632)]]	{"store_name": "GLENDALECARWASH/DETAILCENTER", "store_addr": "725EColoradoStreet 818-240-6170", "telephone": "", "date": "1/4/2015", "time": "11:15AM", "subtotal": "$29.99", "tax": "+$0.00", "total": "$29.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MAJESTICWAX&", "item_value": "$29.99", "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	[[[[45.0, 13.0], [126.0, 15.0], [125.0, 30.0], [44.0, 28.0]], ('Server:Anthony', 0.9639900326728821)], [[[210.0, 16.0], [265.0, 16.0], [265.0, 30.0], [210.0, 30.0]], ('01/13/2017', 0.9577517509460449)], [[[45.0, 28.0], [100.0, 28.0], [100.0, 42.0], [45.0, 42.0]], ('Table46/1', 0.9844221472740173)], [[[224.0, 29.0], [265.0, 29.0], [265.0, 44.0], [224.0, 44.0]], ('5:25PM', 0.9236881136894226)], [[[45.0, 40.0], [96.0, 43.0], [95.0, 58.0], [44.0, 55.0]], ('Guests:1', 0.9435603022575378)], [[[235.0, 43.0], [265.0, 43.0], [265.0, 57.0], [235.0, 57.0]], ('40062', 0.9699718356132507)], [[[46.0, 67.0], [92.0, 69.0], [91.0, 83.0], [45.0, 81.0]], ('Trio App', 0.9024143815040588)], [[[239.0, 70.0], [263.0, 70.0], [263.0, 82.0], [239.0, 82.0]], ('8.20', 0.9954743385314941)], [[[47.0, 82.0], [145.0, 82.0], [145.0, 95.0], [47.0, 95.0]], ('Sweet Tea 3 02.79', 0.9153380393981934)], [[[239.0, 83.0], [262.0, 83.0], [262.0, 95.0], [239.0, 95.0]], ('8.37', 0.99648118019104)], [[[47.0, 94.0], [157.0, 95.0], [157.0, 109.0], [46.0, 108.0]], ('CHICKEN FRIED CHICKEN', 0.956436038017273)], [[[236.0, 96.0], [261.0, 96.0], [261.0, 108.0], [236.0, 108.0]], ('12.20', 0.9927452802658081)], [[[57.0, 108.0], [109.0, 108.0], [109.0, 122.0], [57.0, 122.0]], ('Sub Salad', 0.9156849980354309)], [[[237.0, 108.0], [263.0, 108.0], [263.0, 123.0], [237.0, 123.0]], ('2.00', 0.9958802461624146)], [[[59.0, 118.0], [99.0, 121.0], [98.0, 136.0], [58.0, 133.0]], ('Ranch', 0.9798324704170227)], [[[48.0, 132.0], [113.0, 135.0], [112.0, 148.0], [47.0, 146.0]], ('PorkPorkSanda', 0.9264716506004333)], [[[235.0, 134.0], [263.0, 134.0], [263.0, 147.0], [235.0, 147.0]], ('10.30', 0.9964351654052734)], [[[57.0, 145.0], [153.0, 146.0], [153.0, 160.0], [57.0, 159.0]], ('Sweet Potato Fries', 0.9611945748329163)], [[[48.0, 159.0], [176.0, 159.0], [176.0, 172.0], [48.0, 172.0]], ('Nueskes Bacon Chedr Brger', 0.9595813751220703)], [[[235.0, 159.0], [261.0, 159.0], [261.0, 171.0], [235.0, 171.0]], ('13.20', 0.9912439584732056)], [[[48.0, 171.0], [84.0, 171.0], [84.0, 185.0], [48.0, 185.0]], ('Sprite', 0.9927124381065369)], [[[236.0, 171.0], [262.0, 168.0], [263.0, 182.0], [237.0, 185.0]], ('2.79', 0.9856699705123901)], [[[48.0, 184.0], [117.0, 184.0], [117.0, 198.0], [48.0, 198.0]], ('Finger Dinner', 0.9611663818359375)], [[[235.0, 183.0], [263.0, 183.0], [263.0, 198.0], [235.0, 198.0]], ('13.20', 0.9950317144393921)], [[[47.0, 210.0], [91.0, 210.0], [91.0, 223.0], [47.0, 223.0]], ('Subtotal', 0.9830055236816406)], [[[235.0, 209.0], [264.0, 209.0], [264.0, 223.0], [235.0, 223.0]], ('70.26', 0.9879803657531738)], [[[47.0, 235.0], [141.0, 235.0], [141.0, 249.0], [47.0, 249.0]], ('Sales Tax Exc1 Tax', 0.8823299407958984)], [[[239.0, 234.0], [266.0, 234.0], [266.0, 249.0], [239.0, 249.0]], ('5.80', 0.9926653504371643)], [[[45.0, 259.0], [96.0, 261.0], [95.0, 276.0], [44.0, 274.0]], ('Total Tax', 0.8683945536613464)], [[[240.0, 260.0], [267.0, 260.0], [267.0, 275.0], [240.0, 275.0]], ('5.80', 0.9935344457626343)], [[[45.0, 287.0], [74.0, 287.0], [74.0, 302.0], [45.0, 302.0]], ('Total', 0.9942924380302429)], [[[237.0, 287.0], [267.0, 287.0], [267.0, 302.0], [237.0, 302.0]], ('76.06', 0.9949432611465454)], [[[46.0, 312.0], [160.0, 315.0], [160.0, 329.0], [45.0, 326.0]], ('Balance Due', 0.9576940536499023)], [[[212.0, 312.0], [267.0, 315.0], [267.0, 329.0], [211.0, 327.0]], ('76.06', 0.9972457885742188)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "01/13/2017", "time": "5:25PM", "subtotal": "70.26", "tax": "5.80 5.80", "total": "76.06 76.06", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TrioApp", "item_value": "8.20", "item_quantity": "1"}, {"item_key": "", "item_name": "SweetTea", "item_value": "8.37", "item_quantity": "1"}, {"item_key": "", "item_name": "CHICKENFRIEDCHICKEN", "item_value": "12.20", "item_quantity": "1"}, {"item_key": "", "item_name": "SubSalad", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Ranch", "item_value": "13.20", "item_quantity": "1"}, {"item_key": "", "item_name": "PorkPorkSand", "item_value": "2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SweetPotatoFries", "item_value": "13.20", "item_quantity": "1"}, {"item_key": "", "item_name": "NueskesBaconChedrBrger", "item_value": "10.30", "item_quantity": "1"}, {"item_key": "", "item_name": "Sprite", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FingerDinner", "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	[[[[971.0, 141.0], [1532.0, 165.0], [1526.0, 294.0], [965.0, 270.0]], ('TARGET', 0.9968305230140686)], [[[994.0, 264.0], [1521.0, 297.0], [1517.0, 355.0], [990.0, 322.0]], ('EXPECT MORE.PAY LESS:', 0.9352428913116455)], [[[871.0, 557.0], [1274.0, 572.0], [1271.0, 643.0], [868.0, 628.0]], ('04/03/2016', 0.9984879493713379)], [[[1456.0, 574.0], [1785.0, 586.0], [1782.0, 667.0], [1452.0, 655.0]], ('08:09PM', 0.9462013244628906)], [[[1619.0, 730.0], [2004.0, 742.0], [2001.0, 824.0], [1616.0, 812.0]], ('HEALT', 0.9962610006332397)], [[[265.0, 785.0], [984.0, 792.0], [984.0, 871.0], [264.0, 863.0]], ('H RECEIPT', 0.9585670828819275)], [[[272.0, 941.0], [995.0, 956.0], [993.0, 1034.0], [271.0, 1019.0]], ('245030446', 0.9471297860145569)], [[[1472.0, 958.0], [2003.0, 966.0], [2002.0, 1037.0], [1471.0, 1030.0]], ('CLEARBL', 0.9973984956741333)], [[[388.0, 1015.0], [565.0, 1029.0], [558.0, 1117.0], [380.0, 1103.0]], ('UE', 0.9925854802131653)], [[[1273.0, 1044.0], [1895.0, 1044.0], [1895.0, 1112.0], [1273.0, 1112.0]], ('$39.99+', 0.9478377103805542)], [[[880.0, 1265.0], [1127.0, 1265.0], [1127.0, 1350.0], [880.0, 1350.0]], ('TAX', 0.9977890849113464)], [[[1422.0, 1272.0], [1822.0, 1272.0], [1822.0, 1340.0], [1422.0, 1340.0]], ('$3.60', 0.9937291145324707)], [[[1314.0, 1353.0], [2003.0, 1353.0], [2003.0, 1425.0], [1314.0, 1425.0]], ('HEALTH IT', 0.9545152187347412)], [[[483.0, 1428.0], [1109.0, 1428.0], [1109.0, 1499.0], [483.0, 1499.0]], ('EM TOTAL', 0.9307345747947693)], [[[1346.0, 1435.0], [1822.0, 1435.0], [1822.0, 1503.0], [1346.0, 1503.0]], ('$43.59', 0.9971932768821716)], [[[1165.0, 1510.0], [2003.0, 1510.0], [2003.0, 1578.0], [1165.0, 1578.0]], ('TOTAL SUBST', 0.9479774236679077)], [[[487.0, 1588.0], [1116.0, 1588.0], [1116.0, 1656.0], [487.0, 1656.0]], ('ANTIATED', 0.9979691505432129)], [[[1422.0, 1584.0], [1822.0, 1584.0], [1822.0, 1656.0], [1422.0, 1656.0]], ('$0.00', 0.9927837252616882)], [[[355.0, 1744.0], [2006.0, 1737.0], [2006.0, 1802.0], [355.0, 1809.0]], ('REC#2-6094-0290-0172-', 0.9659807085990906)], [[[278.0, 1816.0], [2020.0, 1809.0], [2020.0, 1890.0], [278.0, 1897.0]], ('4667-3VCD#757-259-842', 0.9843829274177551)], [[[1227.0, 1979.0], [1940.0, 1979.0], [1940.0, 2047.0], [1227.0, 2047.0]], ('INDICATES', 0.9967301487922668)], [[[713.0, 2050.0], [1603.0, 2047.0], [1603.0, 2128.0], [713.0, 2132.0]], ('HEALTH ITEM', 0.9686386585235596)], [[[434.0, 2214.0], [2020.0, 2200.0], [2021.0, 2278.0], [435.0, 2292.0]], ('Thisis a copy of yo', 0.9302780628204346)], [[[347.0, 2299.0], [1894.0, 2271.0], [1896.0, 2349.0], [349.0, 2377.0]], ('urohealth purchases', 0.9384808540344238)], [[[278.0, 2380.0], [1936.0, 2352.0], [1937.0, 2431.0], [279.0, 2459.0]], ('This total represents', 0.9655493497848511)], [[[312.0, 2462.0], [1956.0, 2420.0], [1958.0, 2502.0], [314.0, 2544.0]], ('items including tax)', 0.9184460639953613)], [[[423.0, 2547.0], [1987.0, 2502.0], [1990.0, 2580.0], [426.0, 2626.0]], ('which maybe eligibl', 0.9313966631889343)], [[[385.0, 2626.0], [1897.0, 2580.0], [1899.0, 2661.0], [388.0, 2707.0]], ('e for reimbursement', 0.9508083462715149)], [[[903.0, 2694.0], [2008.0, 2658.0], [2011.0, 2740.0], [906.0, 2775.0]], ('from most FsA/', 0.8875689506530762)], [[[594.0, 2785.0], [1696.0, 2757.0], [1698.0, 2828.0], [596.0, 2857.0]], ('HRA/HSA p1ans.', 0.8305315375328064)], [[[590.0, 2864.0], [2001.0, 2814.0], [2004.0, 2893.0], [593.0, 2942.0]], ('Reimbursement subj', 0.9720535278320312)], [[[475.0, 2945.0], [1810.0, 2893.0], [1813.0, 2964.0], [478.0, 3017.0]], ('ectto individual', 0.9524343013763428)], [[[1307.0, 2989.0], [1987.0, 2964.0], [1990.0, 3035.0], [1309.0, 3061.0]], ('health p1', 0.8992167711257935)], [[[802.0, 3078.0], [1490.0, 3056.0], [1493.0, 3124.0], [805.0, 3146.0]], ('an rules.', 0.9244541525840759)]]	{"store_name": "TARGET", "store_addr": "", "telephone": "", "date": "04/03/2016", "time": "08:09PM", "subtotal": "", "tax": "$3.60", "total": "$43.59", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "UE", "item_value": "$39.99+", "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	[[[[214.0, 110.0], [683.0, 110.0], [683.0, 198.0], [214.0, 198.0]], ('MIGROS', 0.9724302887916565)], [[[727.0, 368.0], [792.0, 368.0], [792.0, 406.0], [727.0, 406.0]], ('CHF', 0.8792755603790283)], [[[120.0, 398.0], [412.0, 401.0], [411.0, 444.0], [120.0, 441.0]], ('Fatto forest 101', 0.9601680040359497)], [[[705.0, 409.0], [789.0, 403.0], [793.0, 443.0], [708.0, 449.0]], ('8.00', 0.9945272207260132)], [[[839.0, 411.0], [860.0, 411.0], [860.0, 441.0], [839.0, 441.0]], ('1', 0.9857105612754822)], [[[126.0, 441.0], [381.0, 446.0], [380.0, 481.0], [125.0, 476.0]], ('Balai-essoreur', 0.9792872071266174)], [[[711.0, 438.0], [793.0, 445.0], [789.0, 485.0], [708.0, 478.0]], ('3.90', 0.9945855140686035)], [[[839.0, 449.0], [865.0, 449.0], [865.0, 486.0], [839.0, 486.0]], ('2', 0.997748076915741)], [[[125.0, 481.0], [430.0, 481.0], [430.0, 516.0], [125.0, 516.0]], ('Miobrill Seau 101', 0.9398950934410095)], [[[708.0, 478.0], [793.0, 485.0], [790.0, 522.0], [705.0, 515.0]], ('7.90', 0.9956632852554321)], [[[839.0, 486.0], [865.0, 486.0], [865.0, 524.0], [839.0, 524.0]], ('2', 0.996374785900116)], [[[128.0, 519.0], [451.0, 519.0], [451.0, 554.0], [128.0, 554.0]], ('MCLAS LED A 40E27', 0.9046059250831604)], [[[709.0, 521.0], [792.0, 521.0], [792.0, 559.0], [709.0, 559.0]], ('6.90', 0.9932883977890015)], [[[839.0, 524.0], [865.0, 524.0], [865.0, 561.0], [839.0, 561.0]], ('2.', 0.816589891910553)], [[[128.0, 556.0], [279.0, 556.0], [279.0, 591.0], [128.0, 591.0]], ('Bo1 18cm', 0.8812944889068604)], [[[140.0, 588.0], [233.0, 595.0], [230.0, 632.0], [137.0, 626.0]], ('4X', 0.7248430252075195)], [[[391.0, 588.0], [473.0, 595.0], [469.0, 632.0], [387.0, 626.0]], ('7.90', 0.9909690618515015)], [[[693.0, 596.0], [792.0, 596.0], [792.0, 634.0], [693.0, 634.0]], ('31.60', 0.9186414480209351)], [[[837.0, 592.0], [868.0, 598.0], [860.0, 636.0], [829.0, 630.0]], ('2', 0.9812887907028198)], [[[123.0, 626.0], [490.0, 629.0], [490.0, 672.0], [122.0, 669.0]], ('BIC Megalighter Flex', 0.9519404172897339)], [[[706.0, 634.0], [792.0, 634.0], [792.0, 672.0], [706.0, 672.0]], ('6.50', 0.9919466972351074)], [[[834.0, 634.0], [865.0, 634.0], [865.0, 674.0], [834.0, 674.0]], ('2', 0.9972680807113647)], [[[123.0, 666.0], [503.0, 674.0], [502.0, 710.0], [122.0, 702.0]], ('Miobrill Extra LongM', 0.9335201382637024)], [[[706.0, 672.0], [792.0, 672.0], [792.0, 709.0], [706.0, 709.0]], ('1.80', 0.9930828213691711)], [[[836.0, 669.0], [865.0, 669.0], [865.0, 712.0], [836.0, 712.0]], ('2', 0.9983720183372498)], [[[120.0, 699.0], [503.0, 704.0], [502.0, 747.0], [120.0, 742.0]], ('Miobrill Extra Long L', 0.9568526148796082)], [[[706.0, 712.0], [795.0, 712.0], [795.0, 747.0], [706.0, 747.0]], ('1.80', 0.9888883829116821)], [[[834.0, 709.0], [865.0, 709.0], [865.0, 752.0], [834.0, 752.0]], ('2', 0.9965094923973083)], [[[123.0, 742.0], [519.0, 747.0], [518.0, 782.0], [122.0, 777.0]], ('Hygo WC Maximum XXL St', 0.9052093029022217)], [[[709.0, 747.0], [792.0, 747.0], [792.0, 784.0], [709.0, 784.0]], ('3.80', 0.9929978251457214)], [[[838.0, 743.0], [869.0, 749.0], [860.0, 789.0], [829.0, 783.0]], ('2', 0.9972188472747803)], [[[123.0, 779.0], [399.0, 785.0], [398.0, 820.0], [122.0, 814.0]], ('Planche20x29cm', 0.9380833506584167)], [[[708.0, 779.0], [793.0, 785.0], [789.0, 825.0], [705.0, 819.0]], ('7.90', 0.9892458915710449)], [[[831.0, 784.0], [865.0, 784.0], [865.0, 825.0], [831.0, 825.0]], ('2', 0.9990326166152954)], [[[124.0, 816.0], [222.0, 823.0], [220.0, 860.0], [122.0, 854.0]], ('Cabas', 0.997833251953125)], [[[139.0, 851.0], [225.0, 861.0], [221.0, 898.0], [134.0, 888.0]], ('4x', 0.6925736665725708)], [[[391.0, 860.0], [469.0, 860.0], [469.0, 895.0], [391.0, 895.0]], ('0.30', 0.9880968928337097)], [[[709.0, 862.0], [795.0, 862.0], [795.0, 900.0], [709.0, 900.0]], ('1.20', 0.9963752627372742)], [[[840.0, 857.0], [871.0, 871.0], [853.0, 905.0], [823.0, 891.0]], ('2.', 0.7565947771072388)], [[[16.0, 892.0], [81.0, 892.0], [81.0, 930.0], [16.0, 930.0]], ('ACT', 0.9980100989341736)], [[[123.0, 892.0], [399.0, 897.0], [398.0, 933.0], [122.0, 927.0]], ('Filet de saumon', 0.9706927537918091)], [[[708.0, 894.0], [793.0, 901.0], [789.0, 941.0], [705.0, 934.0]], ('8.90', 0.9934852719306946)], [[[834.0, 905.0], [857.0, 905.0], [857.0, 932.0], [834.0, 932.0]], ('1', 0.9893879890441895)], [[[16.0, 930.0], [81.0, 930.0], [81.0, 967.0], [16.0, 967.0]], ('ACT', 0.9973647594451904)], [[[123.0, 929.0], [399.0, 938.0], [398.0, 973.0], [122.0, 965.0]], ('Filet de saumon', 0.9643980860710144)], [[[709.0, 937.0], [792.0, 937.0], [792.0, 975.0], [709.0, 975.0]], ('8.40', 0.9910903573036194)], [[[834.0, 942.0], [857.0, 942.0], [857.0, 970.0], [834.0, 970.0]], ('1', 0.981613039970398)], [[[16.0, 967.0], [78.0, 967.0], [78.0, 1005.0], [16.0, 1005.0]], ('ACT', 0.9978339672088623)], [[[123.0, 967.0], [399.0, 975.0], [398.0, 1010.0], [122.0, 1002.0]], ('Filet de saumon', 0.9684240221977234)], [[[706.0, 972.0], [790.0, 978.0], [787.0, 1016.0], [702.0, 1009.0]], ('8.65', 0.9951305389404297)], [[[834.0, 980.0], [857.0, 980.0], [857.0, 1010.0], [834.0, 1010.0]], ('1', 0.9637590646743774)], [[[16.0, 1005.0], [78.0, 1005.0], [78.0, 1043.0], [16.0, 1043.0]], ('ACT', 0.9982506632804871)], [[[123.0, 1005.0], [378.0, 1008.0], [377.0, 1045.0], [122.0, 1042.0]], ('Steak de boeuf', 0.9474863409996033)], [[[692.0, 1009.0], [790.0, 1016.0], [787.0, 1053.0], [690.0, 1047.0]], ('10.85', 0.9962876439094543)], [[[836.0, 1018.0], [857.0, 1018.0], [857.0, 1045.0], [836.0, 1045.0]], ('1', 0.9724990725517273)], [[[16.0, 1043.0], [78.0, 1043.0], [78.0, 1083.0], [16.0, 1083.0]], ('ACT', 0.9974169731140137)], [[[125.0, 1048.0], [375.0, 1048.0], [375.0, 1083.0], [125.0, 1083.0]], ('Steak de boeuf', 0.9251610636711121)], [[[693.0, 1050.0], [789.0, 1050.0], [789.0, 1088.0], [693.0, 1088.0]], ('11.10', 0.9926033020019531)], [[[836.0, 1055.0], [857.0, 1055.0], [857.0, 1085.0], [836.0, 1085.0]], ('1', 0.9575597047805786)], [[[123.0, 1082.0], [344.0, 1088.0], [343.0, 1123.0], [122.0, 1118.0]], ('Petit Beurre', 0.9661886692047119)], [[[701.0, 1085.0], [792.0, 1085.0], [792.0, 1130.0], [701.0, 1130.0]], ('1.45', 0.9845283031463623)], [[[836.0, 1093.0], [857.0, 1093.0], [857.0, 1123.0], [836.0, 1123.0]], ('1', 0.9874070882797241)], [[[123.0, 1120.0], [328.0, 1123.0], [328.0, 1158.0], [122.0, 1155.0]], ('Persil plat', 0.9201961159706116)], [[[706.0, 1119.0], [790.0, 1126.0], [787.0, 1166.0], [702.0, 1159.0]], ('1.95', 0.9753847122192383)], [[[836.0, 1133.0], [857.0, 1133.0], [857.0, 1160.0], [836.0, 1160.0]], ('1', 0.9775702953338623)], [[[120.0, 1155.0], [469.0, 1161.0], [468.0, 1203.0], [120.0, 1198.0]], ('F&W confi.abricots', 0.957351565361023)], [[[706.0, 1165.0], [792.0, 1165.0], [792.0, 1203.0], [706.0, 1203.0]], ('2.10', 0.9944087266921997)], [[[836.0, 1170.0], [857.0, 1170.0], [857.0, 1200.0], [836.0, 1200.0]], ('1', 0.9855803847312927)], [[[123.0, 1195.0], [344.0, 1203.0], [343.0, 1241.0], [122.0, 1233.0]], ('Celeri-pomme', 0.988502562046051)], [[[703.0, 1198.0], [795.0, 1198.0], [795.0, 1243.0], [703.0, 1243.0]], ('2.10', 0.9925153255462646)], [[[16.0, 1233.0], [81.0, 1233.0], [81.0, 1271.0], [16.0, 1271.0]], ('ACT', 0.9967555403709412)], [[[121.0, 1235.0], [246.0, 1241.0], [244.0, 1276.0], [119.0, 1270.0]], ('Asiag0', 0.8706495761871338)], [[[706.0, 1241.0], [789.0, 1241.0], [789.0, 1278.0], [706.0, 1278.0]], ('2.80', 0.9919236302375793)], [[[839.0, 1251.0], [854.0, 1251.0], [854.0, 1273.0], [839.0, 1273.0]], ('1', 0.6081204414367676)], [[[120.0, 1270.0], [482.0, 1278.0], [481.0, 1314.0], [120.0, 1306.0]], ('Philadelphia Balance', 0.9594274759292603)], [[[706.0, 1278.0], [789.0, 1278.0], [789.0, 1316.0], [706.0, 1316.0]], ('2.30', 0.9921219348907471)], [[[16.0, 1308.0], [94.0, 1308.0], [94.0, 1346.0], [16.0, 1346.0]], ('ACT', 0.9955956339836121)], [[[120.0, 1311.0], [485.0, 1316.0], [484.0, 1351.0], [120.0, 1346.0]], ('Rice Sandwich salmon', 0.9708250164985657)], [[[706.0, 1316.0], [792.0, 1316.0], [792.0, 1353.0], [706.0, 1353.0]], ('6.60', 0.9913347959518433)], [[[186.0, 1345.0], [311.0, 1351.0], [309.0, 1389.0], [184.0, 1383.0]], ('Action', 0.9906420707702637)], [[[709.0, 1353.0], [805.0, 1353.0], [805.0, 1391.0], [709.0, 1391.0]], ('1.40-', 0.9059060215950012)], [[[123.0, 1386.0], [313.0, 1391.0], [312.0, 1429.0], [122.0, 1423.0]], ('Courgettes', 0.9957758188247681)], [[[706.0, 1391.0], [789.0, 1391.0], [789.0, 1429.0], [706.0, 1429.0]], ('2.80', 0.9946924448013306)], [[[839.0, 1401.0], [854.0, 1401.0], [854.0, 1424.0], [839.0, 1424.0]], ('-', 0.500973105430603)], [[[120.0, 1418.0], [519.0, 1424.0], [518.0, 1466.0], [120.0, 1461.0]], ('MClass fun frites 7509', 0.9255121350288391)], [[[709.0, 1429.0], [789.0, 1429.0], [789.0, 1466.0], [709.0, 1466.0]], ('3.55', 0.9956242442131042)], [[[13.0, 1459.0], [78.0, 1459.0], [78.0, 1499.0], [13.0, 1499.0]], ('ACT', 0.9971117973327637)], [[[120.0, 1461.0], [485.0, 1466.0], [484.0, 1501.0], [120.0, 1496.0]], ('Rice Sandwich salmon', 0.9702213406562805)], [[[709.0, 1469.0], [789.0, 1469.0], [789.0, 1504.0], [709.0, 1504.0]], ('6.60', 0.9944992065429688)], [[[836.0, 1474.0], [857.0, 1474.0], [857.0, 1501.0], [836.0, 1501.0]], ('1', 0.986025869846344)], [[[194.0, 1498.0], [313.0, 1504.0], [311.0, 1542.0], [192.0, 1536.0]], ('Action', 0.9941006302833557)], [[[709.0, 1506.0], [802.0, 1506.0], [802.0, 1541.0], [709.0, 1541.0]], ('1.40-', 0.9175297617912292)], [[[830.0, 1513.0], [853.0, 1508.0], [859.0, 1536.0], [836.0, 1540.0]], ('1', 0.9923409223556519)], [[[13.0, 1536.0], [78.0, 1536.0], [78.0, 1574.0], [13.0, 1574.0]], ('ACT', 0.9976564049720764)], [[[118.0, 1534.0], [381.0, 1539.0], [380.0, 1582.0], [117.0, 1576.0]], ('Poireaux verts', 0.9725185036659241)], [[[709.0, 1538.0], [790.0, 1545.0], [787.0, 1585.0], [705.0, 1578.0]], ('1.00', 0.9959455132484436)], [[[834.0, 1549.0], [857.0, 1549.0], [857.0, 1576.0], [834.0, 1576.0]], ('1', 0.9806942939758301)], [[[123.0, 1574.0], [521.0, 1582.0], [521.0, 1617.0], [122.0, 1609.0]], ("Reine Di jon l'ancienne", 0.9092522263526917)], [[[706.0, 1581.0], [789.0, 1581.0], [789.0, 1619.0], [706.0, 1619.0]], ('1.80', 0.9916420578956604)], [[[834.0, 1586.0], [857.0, 1586.0], [857.0, 1617.0], [834.0, 1617.0]], ('1', 0.9868636131286621)], [[[123.0, 1609.0], [448.0, 1617.0], [447.0, 1659.0], [122.0, 1651.0]], ('Slimline framboise', 0.9668745398521423)], [[[134.0, 1651.0], [251.0, 1657.0], [249.0, 1692.0], [132.0, 1686.0]], ('2x', 0.7409881353378296)], [[[370.0, 1659.0], [461.0, 1659.0], [461.0, 1687.0], [370.0, 1687.0]], ('1.05', 0.9941561818122864)], [[[706.0, 1657.0], [789.0, 1657.0], [789.0, 1694.0], [706.0, 1694.0]], ('2.10', 0.9929763078689575)], [[[834.0, 1662.0], [857.0, 1662.0], [857.0, 1692.0], [834.0, 1692.0]], ('1', 0.9906891584396362)], [[[118.0, 1684.0], [451.0, 1689.0], [450.0, 1732.0], [117.0, 1727.0]], ('Oh!Yogurtfraise', 0.9572497010231018)], [[[706.0, 1694.0], [789.0, 1694.0], [789.0, 1732.0], [706.0, 1732.0]], ('1.85', 0.994105875492096)], [[[838.0, 1693.0], [864.0, 1705.0], [849.0, 1734.0], [823.0, 1722.0]], ('1', 0.9457446932792664)], [[[123.0, 1724.0], [461.0, 1729.0], [461.0, 1767.0], [122.0, 1762.0]], ('Oh! Yogurt myrtille', 0.932727038860321)], [[[706.0, 1732.0], [789.0, 1732.0], [789.0, 1769.0], [706.0, 1769.0]], ('1.85', 0.9907336831092834)], [[[834.0, 1737.0], [857.0, 1737.0], [857.0, 1767.0], [834.0, 1767.0]], ('1', 0.9931126236915588)], [[[123.0, 1764.0], [378.0, 1767.0], [377.0, 1805.0], [122.0, 1802.0]], ('Salade Iceberg', 0.9792028069496155)], [[[706.0, 1769.0], [789.0, 1769.0], [789.0, 1807.0], [706.0, 1807.0]], ('1.30', 0.9911916851997375)], [[[834.0, 1774.0], [857.0, 1774.0], [857.0, 1804.0], [834.0, 1804.0]], ('1', 0.989134669303894)], [[[121.0, 1802.0], [274.0, 1807.0], [273.0, 1843.0], [119.0, 1837.0]], ('Chavroux', 0.9943323135375977)], [[[706.0, 1801.0], [790.0, 1808.0], [787.0, 1848.0], [702.0, 1841.0]], ('3.20', 0.9926344156265259)], [[[834.0, 1812.0], [857.0, 1812.0], [857.0, 1842.0], [834.0, 1842.0]], ('1', 0.990146815776825)], [[[16.0, 1837.0], [78.0, 1837.0], [78.0, 1877.0], [16.0, 1877.0]], ('ACT', 0.9982770085334778)], [[[120.0, 1842.0], [287.0, 1842.0], [287.0, 1877.0], [120.0, 1877.0]], ('Pleurotus', 0.9935516715049744)], [[[705.0, 1836.0], [791.0, 1845.0], [786.0, 1892.0], [699.0, 1883.0]], ('3.95', 0.9950800538063049)], [[[834.0, 1852.0], [857.0, 1852.0], [857.0, 1880.0], [834.0, 1880.0]], ('1', 0.9654680490493774)], [[[192.0, 1874.0], [308.0, 1880.0], [306.0, 1918.0], [189.0, 1912.0]], ('Action', 0.9939749240875244)], [[[703.0, 1879.0], [795.0, 1886.0], [792.0, 1926.0], [700.0, 1919.0]], ('1.35', 0.9868335127830505)], [[[834.0, 1890.0], [857.0, 1890.0], [857.0, 1917.0], [834.0, 1917.0]], ('1', 0.9961579442024231)], [[[16.0, 1912.0], [78.0, 1912.0], [78.0, 1952.0], [16.0, 1952.0]], ('ACT', 0.998362123966217)], [[[121.0, 1912.0], [290.0, 1920.0], [288.0, 1958.0], [119.0, 1949.0]], ('Pleurotus', 0.9722357988357544)], [[[706.0, 1916.0], [790.0, 1923.0], [787.0, 1963.0], [702.0, 1956.0]], ('3.95', 0.9934242963790894)], [[[834.0, 1927.0], [854.0, 1927.0], [854.0, 1955.0], [834.0, 1955.0]], ('1', 0.9709137082099915)], [[[192.0, 1952.0], [308.0, 1958.0], [306.0, 1996.0], [189.0, 1989.0]], ('Action', 0.9861416816711426)], [[[706.0, 1960.0], [800.0, 1960.0], [800.0, 1997.0], [706.0, 1997.0]], ('1.35', 0.9932356476783752)], [[[836.0, 1970.0], [849.0, 1970.0], [849.0, 1987.0], [836.0, 1987.0]], ('1', 0.7863239645957947)], [[[13.0, 1990.0], [76.0, 1990.0], [76.0, 2028.0], [13.0, 2028.0]], ('ACT', 0.9974793791770935)], [[[121.0, 1989.0], [308.0, 1998.0], [306.0, 2033.0], [119.0, 2025.0]], ('Jambon cru', 0.968904972076416)], [[[706.0, 1997.0], [787.0, 1997.0], [787.0, 2035.0], [706.0, 2035.0]], ('7.25', 0.9916406273841858)], [[[834.0, 2005.0], [854.0, 2005.0], [854.0, 2033.0], [834.0, 2033.0]], ('1', 0.9851474165916443)], [[[123.0, 2027.0], [461.0, 2035.0], [460.0, 2073.0], [122.0, 2065.0]], ('Valflora demi-creme', 0.9696460366249084)], [[[706.0, 2035.0], [787.0, 2035.0], [787.0, 2073.0], [706.0, 2073.0]], ('1.70', 0.9932059049606323)], [[[13.0, 2065.0], [76.0, 2065.0], [76.0, 2103.0], [13.0, 2103.0]], ('ACT', 0.997399628162384)], [[[120.0, 2067.0], [513.0, 2073.0], [513.0, 2108.0], [120.0, 2103.0]], ('SE B-Viande hachee 500', 0.9301669597625732)], [[[706.0, 2073.0], [787.0, 2073.0], [787.0, 2110.0], [706.0, 2110.0]], ('4.50', 0.9904974699020386)], [[[835.0, 2074.0], [856.0, 2079.0], [848.0, 2109.0], [827.0, 2104.0]], ('1', 0.9882057905197144)], [[[10.0, 2103.0], [76.0, 2103.0], [76.0, 2143.0], [10.0, 2143.0]], ('ACT', 0.9979856610298157)], [[[122.0, 2110.0], [391.0, 2110.0], [391.0, 2145.0], [122.0, 2145.0]], ('Courges coupees', 0.9782676696777344)], [[[703.0, 2110.0], [789.0, 2110.0], [789.0, 2153.0], [703.0, 2153.0]], ('2.55', 0.9941222667694092)], [[[831.0, 2115.0], [854.0, 2115.0], [854.0, 2145.0], [831.0, 2145.0]], ('1', 0.9637024998664856)], [[[118.0, 2138.0], [443.0, 2143.0], [442.0, 2186.0], [117.0, 2180.0]], ('Pommes Gala Victor', 0.9670411348342896)], [[[706.0, 2148.0], [787.0, 2148.0], [787.0, 2185.0], [706.0, 2185.0]], ('7.05', 0.9943432807922363)], [[[826.0, 2150.0], [857.0, 2150.0], [857.0, 2185.0], [826.0, 2185.0]], ('1', 0.9728643894195557)], [[[16.0, 2288.0], [198.0, 2288.0], [198.0, 2331.0], [16.0, 2331.0]], ('TOTAL', 0.996965765953064)], [[[584.0, 2301.0], [800.0, 2301.0], [800.0, 2336.0], [584.0, 2336.0]], ('200.00', 0.9718635082244873)], [[[13.0, 2328.0], [339.0, 2333.0], [338.0, 2369.0], [13.0, 2363.0]], ('CUMULUS MASTERCARD', 0.967483639717102)], [[[666.0, 2328.0], [790.0, 2334.0], [788.0, 2379.0], [663.0, 2373.0]], ('200.00', 0.9916109442710876)]]	{"store_name": "MIGROS", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "200.00 200.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Fattoforest101", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Balai-essoreur", "item_value": "3.90", "item_quantity": "1"}, {"item_key": "", "item_name": "MiobrillSeau101", "item_value": "7.90", "item_quantity": "1"}, {"item_key": "", "item_name": "MCLASLEDA40E27", "item_value": "6.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Bol18cm", "item_value": "31.60", "item_quantity": "1"}, {"item_key": "", "item_name": "BICMegalighterFlex", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "MiobrillExtraLong", "item_value": "1.80", "item_quantity": "1"}, {"item_key": "", "item_name": "MiobrillExtraLong", "item_value": "1.80", "item_quantity": "1"}, {"item_key": "", "item_name": "HygoWCMaximumXXLSt", "item_value": "3.80", "item_quantity": "1"}, {"item_key": "", "item_name": "Planche20\u00d729cm", "item_value": "7.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Cabas", "item_value": "1.20", "item_quantity": "1"}, {"item_key": "", "item_name": "Filetdesaumon", "item_value": "8.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Filetdesaumon", "item_value": "8.40", "item_quantity": "1"}, {"item_key": "", "item_name": "Filetdesaumon", "item_value": "8.65", "item_quantity": "1"}, {"item_key": "", "item_name": "Steakdeboeuf", "item_value": "10.85", "item_quantity": "1"}, {"item_key": "", "item_name": "Steakdeboeuf", "item_value": "11.10", "item_quantity": "1"}, {"item_key": "", "item_name": "PetitBeurre", "item_value": "1.45", "item_quantity": "1"}, {"item_key": "", "item_name": "Persilplat", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "F&Wconfi.abricots", "item_value": "2.10", "item_quantity": "1"}, {"item_key": "", "item_name": "Celeri-pomme", "item_value": "2.10", "item_quantity": "1"}, {"item_key": "", "item_name": "Asiago", "item_value": "2.80", "item_quantity": "1"}, {"item_key": "", "item_name": "PhiladelphiaBalance", "item_value": "2.30", "item_quantity": "1"}, {"item_key": "", "item_name": "RiceSandwichsalmon", "item_value": "6.60", "item_quantity": "1"}, {"item_key": "", "item_name": "Courgettes", "item_value": "2.80", "item_quantity": "1"}, {"item_key": "", "item_name": "MClassfunfrites", "item_value": "3.55", "item_quantity": "1"}, {"item_key": "", "item_name": "RiceSandwichsalmon", "item_value": "6.60", "item_quantity": "1"}, {"item_key": "", "item_name": "Poireauxverts", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ReineDijonl'ancienne", "item_value": "1.80", "item_quantity": "1"}, {"item_key": "", "item_name": "Slimlineframboise", "item_value": "2.10", "item_quantity": "1"}, {"item_key": "", "item_name": "Oh!Yogurtfraise", "item_value": "1.85", "item_quantity": "1"}, {"item_key": "", "item_name": "Oh!Yogurtmyrtille", "item_value": "1.85", "item_quantity": "1"}, {"item_key": "", "item_name": "SaladeIceberg", "item_value": "1.30", "item_quantity": "1"}, {"item_key": "", "item_name": "Chavroux", "item_value": "3.20", "item_quantity": "1"}, {"item_key": "", "item_name": "Pleurotus", "item_value": "3.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Pleurotus", "item_value": "3.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Jamboncru", "item_value": "7.25", "item_quantity": "1"}, {"item_key": "", "item_name": "Valflorademi-creme", "item_value": "1.70", "item_quantity": "1"}, {"item_key": "", "item_name": "PommesGalaVictor", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.55", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "7.05", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[455.0, 170.0], [1016.0, 150.0], [1020.0, 268.0], [459.0, 287.0]], ('Besafe', 0.9162248969078064)], [[[573.0, 364.0], [969.0, 336.0], [972.0, 379.0], [576.0, 406.0]], ('STEAKHOUSE', 0.9932525753974915)], [[[419.0, 460.0], [514.0, 468.0], [510.0, 509.0], [416.0, 500.0]], ('ZOE R', 0.921421229839325)], [[[993.0, 518.0], [1083.0, 506.0], [1089.0, 547.0], [998.0, 558.0]], ('10.99', 0.9965677261352539)], [[[420.0, 539.0], [640.0, 549.0], [638.0, 585.0], [418.0, 576.0]], ('13 CHX TACOS', 0.9369767308235168)], [[[417.0, 578.0], [670.0, 585.0], [669.0, 621.0], [416.0, 614.0]], ('16 SIRLOIN NW,', 0.9081231951713562)], [[[998.0, 592.0], [1088.0, 583.0], [1092.0, 624.0], [1002.0, 633.0]], ('14.24', 0.9885488748550415)], [[[467.0, 619.0], [831.0, 614.0], [831.0, 659.0], [467.0, 664.0]], ('layer-cheese on 1.25)', 0.9358610510826111)], [[[1011.0, 631.0], [1090.0, 622.0], [1094.0, 663.0], [1016.0, 671.0]], ('1.00', 0.996002733707428)], [[[418.0, 654.0], [596.0, 662.0], [595.0, 698.0], [416.0, 691.0]], ('1CROCKFO', 0.9747560620307922)], [[[419.0, 698.0], [668.0, 698.0], [668.0, 734.0], [419.0, 734.0]], ('16 SIRLOIN NW,', 0.9072923064231873)], [[[1000.0, 711.0], [1094.0, 700.0], [1099.0, 741.0], [1005.0, 752.0]], ('13.74', 0.9960182309150696)], [[[462.0, 736.0], [855.0, 727.0], [856.0, 772.0], [463.0, 781.0]], ('add mx chz 1.5oz/0.75', 0.9162578582763672)], [[[1002.0, 754.0], [1094.0, 743.0], [1099.0, 784.0], [1007.0, 795.0]], ('15.99', 0.9958232641220093)], [[[415.0, 774.0], [672.0, 777.0], [672.0, 813.0], [414.0, 811.0]], ('15 SIR &CRISPY', 0.9302911162376404)], [[[1015.0, 795.0], [1097.0, 786.0], [1101.0, 825.0], [1020.0, 833.0]], ('0.00', 0.995851993560791)], [[[415.0, 817.0], [672.0, 817.0], [672.0, 853.0], [415.0, 853.0]], ('1 ADD UNL SHRMP', 0.9415662884712219)], [[[1020.0, 833.0], [1100.0, 827.0], [1103.0, 868.0], [1023.0, 873.0]], ('7.99', 0.9957058429718018)], [[[412.0, 858.0], [713.0, 858.0], [713.0, 894.0], [412.0, 894.0]], ('1 -ADD CRISPY SHR', 0.9129033088684082)], [[[1020.0, 875.0], [1102.0, 870.0], [1105.0, 910.0], [1023.0, 916.0]], ('0.00', 0.9968807697296143)], [[[406.0, 894.0], [703.0, 896.0], [702.0, 935.0], [406.0, 932.0]], ('2 REFILL UNL SHRP', 0.9372352361679077)], [[[1025.0, 916.0], [1104.0, 910.0], [1107.0, 951.0], [1028.0, 957.0]], ('1.49', 0.9413397312164307)], [[[406.0, 934.0], [624.0, 939.0], [623.0, 975.0], [406.0, 970.0]], ('1 THUNDER NW', 0.9193429350852966)], [[[1027.0, 958.0], [1106.0, 953.0], [1109.0, 994.0], [1030.0, 999.0]], ('1.99', 0.9931964874267578)], [[[406.0, 975.0], [729.0, 979.0], [728.0, 1016.0], [406.0, 1011.0]], ('1 CHEESE CAK LG NW', 0.9142454862594604)], [[[1027.0, 1004.0], [1109.0, 998.0], [1111.0, 1036.0], [1030.0, 1042.0]], ('0.00', 0.9970533847808838)], [[[406.0, 1015.0], [607.0, 1020.0], [606.0, 1058.0], [406.0, 1054.0]], ('4 ICE WATER', 0.9095466136932373)], [[[1002.0, 1044.0], [1110.0, 1036.0], [1114.0, 1083.0], [1006.0, 1091.0]], ('-67.43', 0.9483597278594971)], [[[408.0, 1062.0], [589.0, 1062.0], [589.0, 1101.0], [408.0, 1101.0]], ('COMP8_100', 0.9896095991134644)], [[[1033.0, 1134.0], [1115.0, 1128.0], [1118.0, 1166.0], [1036.0, 1172.0]], ('0.00', 0.997647225856781)], [[[789.0, 1144.0], [972.0, 1139.0], [973.0, 1177.0], [791.0, 1182.0]], ('Sub Tgtal:', 0.8656861186027527)], [[[868.0, 1178.0], [1120.0, 1168.0], [1122.0, 1220.0], [870.0, 1229.0]], ('0.00', 0.9932310581207275)], [[[403.0, 1193.0], [829.0, 1188.0], [829.0, 1224.0], [404.0, 1229.0]], ('09/09 7:21pTOTAL.', 0.8970552682876587)], [[[421.0, 1237.0], [655.0, 1237.0], [655.0, 1274.0], [421.0, 1274.0]], ('Gross Amount:', 0.9601281881332397)], [[[740.0, 1231.0], [838.0, 1231.0], [838.0, 1269.0], [740.0, 1269.0]], ('67.43', 0.9933959245681763)], [[[397.0, 1410.0], [1156.0, 1404.0], [1157.0, 1448.0], [397.0, 1455.0]], ("Here's a SECRET,Mate:", 0.916178822517395)], [[[412.0, 1459.0], [1093.0, 1450.0], [1093.0, 1493.0], [413.0, 1502.0]], ('Get exclusive deals and insider info.', 0.9638814926147461)], [[[523.0, 1506.0], [1007.0, 1497.0], [1008.0, 1540.0], [524.0, 1549.0]], ('Sign up at OUTBACK.CQM/365', 0.9119100570678711)], [[[394.0, 1584.0], [1108.0, 1511.0], [1121.0, 1631.0], [407.0, 1704.0]], ('Thankyall,tor', 0.8528670072555542)], [[[402.0, 1714.0], [1000.0, 1614.0], [1020.0, 1727.0], [422.0, 1828.0]], ("y'aulls service", 0.8204577565193176)], [[[357.0, 1819.0], [1188.0, 1688.0], [1208.0, 1812.0], [377.0, 1943.0]], ('Enjoy yalls meal on ys', 0.857461154460907)], [[[803.0, 1841.0], [1219.0, 1837.0], [1220.0, 1918.0], [804.0, 1922.0]], ('Arinetzoe', 0.7512051463127136)]]	{"store_name": "OUTBACK", "store_addr": "", "telephone": "", "date": "09/09/15 09/09", "time": "6:37p 7:21p", "subtotal": "0.00", "tax": "", "total": "0.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "3CHXTACOS", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "6SIRLOINNW,", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "layer-cheeseon(1.25)", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "CROCKFO", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "6SIRLOINNW,", "item_value": "7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "addmxchz1.5oz(0.75)", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "5SIR&CRISPY", "item_value": "15.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDUNLSHRMP", "item_value": "13.74", "item_quantity": "1"}, {"item_key": "", "item_name": "-ADDCRISPYSHRP", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "REFILLUNLSHRP", "item_value": "14.24", "item_quantity": "1"}, {"item_key": "", "item_name": "THUNDERNW", "item_value": "10.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CHEESECAKLGNW", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ICEWATER", "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	[[[[127.0, 169.0], [473.0, 176.0], [472.0, 233.0], [126.0, 226.0]], ('Celebrate Today!', 0.9903026223182678)], [[[236.0, 266.0], [376.0, 266.0], [376.0, 294.0], [236.0, 294.0]], ('Aloha Isle', 0.9640594720840454)], [[[182.0, 296.0], [403.0, 299.0], [403.0, 326.0], [181.0, 324.0]], ('Store Number 334', 0.9513901472091675)], [[[126.0, 329.0], [484.0, 329.0], [484.0, 355.0], [126.0, 355.0]], ('Lake Buena VistaFL32830', 0.9671255946159363)], [[[19.0, 421.0], [332.0, 421.0], [332.0, 447.0], [19.0, 447.0]], ('CAST MEMBER: John-SWICP', 0.9220460057258606)], [[[19.0, 454.0], [278.0, 454.0], [278.0, 480.0], [19.0, 480.0]], ('CHECKNUMBER2-345', 0.985999345779419)], [[[387.0, 451.0], [578.0, 451.0], [578.0, 478.0], [387.0, 478.0]], ('GUEST COUNT1', 0.9576550126075745)], [[[128.0, 575.0], [332.0, 575.0], [332.0, 602.0], [128.0, 602.0]], ('Pineapple Float', 0.9588767886161804)], [[[453.0, 573.0], [515.0, 573.0], [515.0, 603.0], [453.0, 603.0]], ('0.00', 0.997870683670044)], [[[125.0, 634.0], [239.0, 634.0], [239.0, 666.0], [125.0, 666.0]], ('SUBTOTAL', 0.9960483908653259)], [[[454.0, 636.0], [515.0, 636.0], [515.0, 664.0], [454.0, 664.0]], ('0.00', 0.9974839687347412)], [[[125.0, 666.0], [173.0, 666.0], [173.0, 696.0], [125.0, 696.0]], ('TAX', 0.9968768954277039)], [[[454.0, 666.0], [515.0, 666.0], [515.0, 696.0], [454.0, 696.0]], ('0.00', 0.9975951910018921)], [[[128.0, 698.0], [265.0, 698.0], [265.0, 725.0], [128.0, 725.0]], ('AMOUNT DUE', 0.9658850431442261)], [[[454.0, 698.0], [515.0, 698.0], [515.0, 727.0], [454.0, 727.0]], ('0.00', 0.9972125291824341)], [[[15.0, 758.0], [48.0, 758.0], [48.0, 788.0], [15.0, 788.0]], ('VF', 0.9887700080871582)], [[[126.0, 760.0], [266.0, 760.0], [266.0, 788.0], [126.0, 788.0]], ('Snack Plan', 0.9120906591415405)], [[[453.0, 757.0], [515.0, 761.0], [513.0, 791.0], [451.0, 787.0]], ('0.00', 0.9946141839027405)], [[[19.0, 792.0], [468.0, 793.0], [468.0, 816.0], [19.0, 815.0]], ('ACCOUNT NUMBERXXXXXXXXXXXXXX1701', 0.959784746170044)], [[[19.0, 824.0], [81.0, 824.0], [81.0, 848.0], [19.0, 848.0]], ('REF:', 0.9129443168640137)], [[[20.0, 855.0], [304.0, 855.0], [304.0, 878.0], [20.0, 878.0]], ('Entit lements Used1', 0.933133602142334)], [[[126.0, 883.0], [211.0, 883.0], [211.0, 911.0], [126.0, 911.0]], ('CHANGE', 0.9981131553649902)], [[[452.0, 880.0], [516.0, 880.0], [516.0, 914.0], [452.0, 914.0]], ('0.00', 0.9958380460739136)], [[[168.0, 944.0], [429.0, 945.0], [429.0, 972.0], [168.0, 971.0]], ('7 SNACK Cpns Remain', 0.9393017292022705)], [[[129.0, 1006.0], [484.0, 1008.0], [484.0, 1034.0], [129.0, 1032.0]], ('Thank you for visiting the', 0.9428420662879944)], [[[128.0, 1037.0], [456.0, 1039.0], [455.0, 1065.0], [128.0, 1063.0]], ('Walt Disney Wor ld Resort', 0.9245857000350952)], [[[181.0, 1070.0], [429.0, 1070.0], [429.0, 1096.0], [181.0, 1096.0]], ('Have a Magical Day', 0.9143922328948975)], [[[238.0, 1130.0], [376.0, 1130.0], [376.0, 1157.0], [238.0, 1157.0]], ('GUEST COPY', 0.9588319063186646)], [[[47.0, 1191.0], [564.0, 1192.0], [564.0, 1218.0], [47.0, 1217.0]], ('7/9/201022:490334002 0345John-SWIC', 0.9585703611373901)]]	{"store_name": "AlohaIsle", "store_addr": "LakeBuenaVista,FL32830", "telephone": "", "date": "7/9/2010", "time": "22:49", "subtotal": "0.00", "tax": "0.00", "total": "0.00 0.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PineappleFloat", "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	[[[[118.0, 27.0], [192.0, 27.0], [192.0, 44.0], [118.0, 44.0]], ('SEATIN', 0.9434382319450378)], [[[117.0, 49.0], [192.0, 52.0], [192.0, 70.0], [117.0, 68.0]], ('Cash Invoice', 0.9471569061279297)], [[[101.0, 102.0], [201.0, 102.0], [201.0, 126.0], [101.0, 126.0]], ('BAAN THAI KITCHEN', 0.8760123252868652)], [[[92.0, 126.0], [222.0, 126.0], [222.0, 140.0], [92.0, 140.0]], ('BAAN THAI HERBAL CO LTD', 0.9291982054710388)], [[[124.0, 139.0], [183.0, 139.0], [183.0, 150.0], [124.0, 150.0]], ('KATO PAFOS', 0.941999077796936)], [[[87.0, 159.0], [220.0, 159.0], [220.0, 173.0], [87.0, 173.0]], ('TIC NoVAT No103303496', 0.932234525680542)], [[[120.0, 150.0], [188.0, 147.0], [188.0, 162.0], [120.0, 164.0]], ('Tel:26220290', 0.9321062564849854)], [[[40.0, 191.0], [144.0, 191.0], [144.0, 204.0], [40.0, 204.0]], ('CasherCASHIER 01', 0.8387182950973511)], [[[41.0, 183.0], [65.0, 183.0], [65.0, 194.0], [41.0, 194.0]], ('oate', 0.6146906614303589)], [[[88.0, 183.0], [143.0, 183.0], [143.0, 194.0], [88.0, 194.0]], ('02/06/2017', 0.9941291809082031)], [[[186.0, 183.0], [213.0, 183.0], [213.0, 196.0], [186.0, 196.0]], ('Time', 0.9884077906608582)], [[[186.0, 190.0], [220.0, 192.0], [220.0, 203.0], [185.0, 201.0]], ('InvNo:', 0.7484790682792664)], [[[222.0, 190.0], [268.0, 190.0], [268.0, 204.0], [222.0, 204.0]], ('00005335', 0.9299981594085693)], [[[39.0, 210.0], [101.0, 210.0], [101.0, 221.0], [39.0, 221.0]], ('Description', 0.9766136407852173)], [[[148.0, 209.0], [167.0, 209.0], [167.0, 221.0], [148.0, 221.0]], ('A10', 0.6520524621009827)], [[[180.0, 207.0], [212.0, 210.0], [211.0, 221.0], [179.0, 218.0]], ('Price', 0.9746955037117004)], [[[231.0, 208.0], [271.0, 208.0], [271.0, 219.0], [231.0, 219.0]], ('Totaly', 0.8620293140411377)], [[[37.0, 228.0], [83.0, 228.0], [83.0, 240.0], [37.0, 240.0]], ('MAI THAI', 0.9442406892776489)], [[[36.0, 239.0], [117.0, 239.0], [117.0, 249.0], [36.0, 249.0]], ('KOL IOS Pitcher', 0.8600724339485168)], [[[127.0, 238.0], [138.0, 238.0], [138.0, 248.0], [127.0, 248.0]], ('50', 0.9838430881500244)], [[[36.0, 249.0], [108.0, 249.0], [108.0, 260.0], [36.0, 260.0]], ('THOONG THONG', 0.9525538086891174)], [[[33.0, 259.0], [140.0, 255.0], [140.0, 269.0], [33.0, 273.0]], ('POR PIA TOO W VEGE', 0.9032990336418152)], [[[33.0, 268.0], [140.0, 267.0], [140.0, 281.0], [33.0, 282.0]], ('+PA-NAENG CURRY BE', 0.9458160400390625)], [[[269.0, 265.0], [280.0, 264.0], [283.0, 301.0], [273.0, 302.0]], ('000', 0.6423761248588562)], [[[33.0, 280.0], [99.0, 280.0], [99.0, 291.0], [33.0, 291.0]], ('PAD SEE EIW', 0.8413274884223938)], [[[32.0, 291.0], [87.0, 289.0], [87.0, 303.0], [32.0, 306.0]], ('KHAD SUAY', 0.9049021601676941)], [[[250.0, 283.0], [275.0, 283.0], [275.0, 330.0], [250.0, 330.0]], ('88888', 0.8038549423217773)], [[[32.0, 302.0], [87.0, 302.0], [87.0, 316.0], [32.0, 316.0]], ('KHAO SUAY', 0.958832859992981)], [[[273.0, 297.0], [284.0, 297.0], [284.0, 338.0], [273.0, 338.0]], ('000', 0.6357067227363586)], [[[33.0, 315.0], [57.0, 315.0], [57.0, 328.0], [33.0, 328.0]], ('+EGG', 0.9907140731811523)], [[[249.0, 308.0], [259.0, 318.0], [250.0, 328.0], [240.0, 318.0]], ('8', 0.7420194149017334)], [[[31.0, 327.0], [82.0, 324.0], [82.0, 339.0], [31.0, 341.0]], ('MASSAMAN', 0.9954122304916382)], [[[237.0, 328.0], [251.0, 319.0], [259.0, 332.0], [245.0, 341.0]], ('13', 0.9447249174118042)], [[[254.0, 319.0], [275.0, 319.0], [275.0, 365.0], [254.0, 365.0]], ('88009', 0.5214940309524536)], [[[31.0, 338.0], [141.0, 336.0], [141.0, 350.0], [31.0, 352.0]], ('GAI PAD MED MAMUAN', 0.9141427278518677)], [[[242.0, 335.0], [257.0, 335.0], [257.0, 350.0], [242.0, 350.0]], ('10.', 0.9133502840995789)], [[[32.0, 350.0], [71.0, 350.0], [71.0, 364.0], [32.0, 364.0]], ('+PRAWN', 0.9931685924530029)], [[[185.0, 345.0], [204.0, 343.0], [206.0, 386.0], [188.0, 388.0]], ('125', 0.6082927584648132)], [[[243.0, 347.0], [257.0, 347.0], [257.0, 362.0], [243.0, 362.0]], ('11', 0.7848427295684814)], [[[274.0, 346.0], [286.0, 346.0], [286.0, 362.0], [274.0, 362.0]], ('D', 0.9230930209159851)], [[[31.0, 362.0], [117.0, 360.0], [117.0, 374.0], [31.0, 376.0]], ('STILL WATER 1L', 0.9030402302742004)], [[[245.0, 356.0], [289.0, 356.0], [289.0, 375.0], [245.0, 375.0]], ('2.40', 0.967022180557251)], [[[116.0, 372.0], [154.0, 372.0], [154.0, 386.0], [116.0, 386.0]], ('(Total', 0.9125256538391113)], [[[156.0, 374.0], [182.0, 374.0], [182.0, 385.0], [156.0, 385.0]], ('Qty:', 0.937113881111145)], [[[30.0, 399.0], [125.0, 396.0], [126.0, 420.0], [30.0, 423.0]], ('Grand Total EUR', 0.9516583681106567)], [[[239.0, 394.0], [279.0, 394.0], [279.0, 423.0], [239.0, 423.0]], ('97.90', 0.9917494058609009)], [[[101.0, 445.0], [218.0, 445.0], [218.0, 462.0], [101.0, 462.0]], ('[V.A.TAnaysis]', 0.9318318367004395)], [[[29.0, 459.0], [82.0, 459.0], [82.0, 473.0], [29.0, 473.0]], ('9.00%', 0.991557240486145)], [[[120.0, 459.0], [155.0, 459.0], [155.0, 473.0], [120.0, 473.0]], ('89.82', 0.993415355682373)], [[[188.0, 458.0], [217.0, 458.0], [217.0, 473.0], [188.0, 473.0]], ('8.08', 0.9949846267700195)], [[[245.0, 458.0], [281.0, 458.0], [281.0, 473.0], [245.0, 473.0]], ('97.90', 0.9941636919975281)], [[[122.0, 484.0], [156.0, 484.0], [156.0, 499.0], [122.0, 499.0]], ('89.82', 0.9959594011306763)], [[[189.0, 483.0], [218.0, 483.0], [218.0, 499.0], [189.0, 499.0]], ('8.08', 0.99391770362854)], [[[246.0, 483.0], [282.0, 483.0], [282.0, 498.0], [246.0, 498.0]], ('97.90', 0.996318519115448)], [[[127.0, 508.0], [200.0, 510.0], [200.0, 524.0], [126.0, 523.0]], ('Thank You', 0.9018154144287109)], [[[106.0, 521.0], [224.0, 521.0], [224.0, 535.0], [106.0, 535.0]], ('Siystem By Bionic', 0.885235071182251)]]	{"store_name": "BAANTHAIKITCHEN", "store_addr": "KATOPAFOS", "telephone": "26220290", "date": "02/06/2017", "time": "10:39:02", "subtotal": "89.82 89.82", "tax": "8.08 8.08", "total": "97.90 97.90 97.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MAITHAI", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KOLIOSPitcher50", "item_value": "8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "THOONGTHONG", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PORPIATODWVEGE", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "+PA-NAENGCURRYBE", "item_value": "10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PADSEEEIW", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KHAOSUAY", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KHAOSUAY", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "+EGG", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MASSAMAN", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GAIPADMEDMAMUAN", "item_value": "10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "+PRAWN", "item_value": "11.50", "item_quantity": "1"}, {"item_key": "", "item_name": "STILLWATER", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "", "item_name": "1L", "item_value": "", "item_quantity": ""}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[35.0, 99.0], [104.0, 99.0], [104.0, 116.0], [35.0, 116.0]], ('12/26/2002', 0.9898886680603027)], [[[249.0, 101.0], [299.0, 101.0], [299.0, 116.0], [249.0, 116.0]], ('6:41PM', 0.9191610217094421)], [[[88.0, 134.0], [238.0, 135.0], [238.0, 152.0], [88.0, 151.0]], ('FANZZ-WESTHINSTERCA', 0.9499018788337708)], [[[96.0, 153.0], [235.0, 153.0], [235.0, 166.0], [96.0, 166.0]], ('2024 HESTMINSTERMALL', 0.9443455934524536)], [[[43.0, 171.0], [285.0, 171.0], [285.0, 185.0], [43.0, 185.0]], ('ESTMINSTERCA92683 714890-4036', 0.9436089992523193)], [[[34.0, 203.0], [70.0, 205.0], [69.0, 221.0], [32.0, 218.0]], ('5O', 0.6815371513366699)], [[[195.0, 206.0], [299.0, 206.0], [299.0, 223.0], [195.0, 223.0]], ('Receipt:21854', 0.9459014534950256)], [[[35.0, 222.0], [105.0, 222.0], [105.0, 238.0], [35.0, 238.0]], ('12/26/2002', 0.9960235357284546)], [[[181.0, 223.0], [266.0, 223.0], [266.0, 239.0], [181.0, 239.0]], ('Store:030A', 0.9136770963668823)], [[[32.0, 238.0], [112.0, 241.0], [111.0, 257.0], [31.0, 255.0]], ('AssocMS3', 0.904948353767395)], [[[169.0, 239.0], [261.0, 239.0], [261.0, 256.0], [169.0, 256.0]], ('Cashier:MS3', 0.9333415627479553)], [[[34.0, 306.0], [61.0, 309.0], [59.0, 325.0], [32.0, 323.0]], ('DCS', 0.9830713272094727)], [[[82.0, 309.0], [119.0, 309.0], [119.0, 324.0], [82.0, 324.0]], ('ITEM#', 0.9534889459609985)], [[[135.0, 310.0], [277.0, 310.0], [277.0, 324.0], [135.0, 324.0]], ('QTY PRICEEXT PRICE', 0.9386584758758545)], [[[35.0, 344.0], [59.0, 344.0], [59.0, 360.0], [35.0, 360.0]], ('NIO', 0.9822985529899597)], [[[81.0, 343.0], [119.0, 343.0], [119.0, 361.0], [81.0, 361.0]], ('53165', 0.9957647323608398)], [[[151.0, 345.0], [199.0, 345.0], [199.0, 360.0], [151.0, 360.0]], ('7.99', 0.9740854501724243)], [[[248.0, 343.0], [282.0, 343.0], [282.0, 362.0], [248.0, 362.0]], ('662', 0.8656541705131531)], [[[36.0, 363.0], [138.0, 363.0], [138.0, 376.0], [36.0, 376.0]], ('YELLOW HEADBAND', 0.963949978351593)], [[[154.0, 363.0], [180.0, 363.0], [180.0, 377.0], [154.0, 377.0]], ('NBA', 0.9916431903839111)], [[[269.0, 378.0], [301.0, 378.0], [301.0, 397.0], [269.0, 397.0]], ('7.99', 0.9773074984550476)], [[[159.0, 394.0], [251.0, 396.0], [250.0, 414.0], [158.0, 412.0]], ('7.750Tax', 0.9499157071113586)], [[[275.0, 397.0], [307.0, 397.0], [307.0, 413.0], [275.0, 413.0]], ('0.62', 0.9884186387062073)], [[[135.0, 413.0], [231.0, 415.0], [231.0, 432.0], [135.0, 429.0]], ('RECEIPT TOTAL:', 0.9574536681175232)], [[[263.0, 415.0], [292.0, 415.0], [292.0, 431.0], [263.0, 431.0]], ('8.61', 0.9940119385719299)], [[[195.0, 430.0], [247.0, 434.0], [246.0, 449.0], [194.0, 445.0]], ('Tender:', 0.9872785210609436)], [[[255.0, 433.0], [286.0, 433.0], [286.0, 447.0], [255.0, 447.0]], ('8.61', 0.993398904800415)], [[[188.0, 448.0], [239.0, 450.0], [238.0, 468.0], [187.0, 466.0]], ('Change:', 0.9906968474388123)], [[[276.0, 449.0], [306.0, 449.0], [306.0, 465.0], [276.0, 465.0]], ('0.00', 0.9959375858306885)], [[[34.0, 465.0], [131.0, 467.0], [131.0, 484.0], [34.0, 482.0]], ('VIS/MC8.61', 0.945572555065155)], [[[115.0, 517.0], [249.0, 518.0], [249.0, 535.0], [114.0, 534.0]], ('ALL SALE ITEMS FINAL', 0.9257665872573853)]]	{"store_name": "FANZZ-WESTMINSTER,CA", "store_addr": "2024WESTMINSTERMALL WESTMINSTER,CA92683(714)890-4036", "telephone": "", "date": "12/26/2002 12/26/2002", "time": "6:41PM", "subtotal": "7.99", "tax": "0.62", "total": "8.61 8.61", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "YELLOWHEADBANDNBA", "item_value": "7.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[59.0, 0.0], [117.0, 3.0], [116.0, 18.0], [58.0, 15.0]], ('Server:w111', 0.8779168725013733)], [[[59.0, 12.0], [144.0, 18.0], [143.0, 32.0], [58.0, 25.0]], ('03/12/1702:40', 0.9472869634628296)], [[[60.0, 24.0], [122.0, 30.0], [121.0, 44.0], [59.0, 38.0]], ('Table No:103', 0.917090892791748)], [[[154.0, 33.0], [205.0, 33.0], [205.0, 46.0], [154.0, 46.0]], ('Covers:2', 0.9587174654006958)], [[[68.0, 49.0], [131.0, 54.0], [130.0, 68.0], [67.0, 63.0]], ('1Flat white', 0.8416950702667236)], [[[68.0, 61.0], [127.0, 66.0], [126.0, 79.0], [67.0, 75.0]], ('1 Reg Latte', 0.915186882019043)], [[[231.0, 67.0], [260.0, 70.0], [259.0, 84.0], [230.0, 82.0]], ('3.10', 0.97562175989151)], [[[232.0, 58.0], [258.0, 58.0], [258.0, 70.0], [232.0, 70.0]], ('3.20', 0.9879985451698303)], [[[67.0, 74.0], [140.0, 77.0], [139.0, 91.0], [66.0, 88.0]], ('1Decaf Coffee', 0.9225797653198242)], [[[231.0, 82.0], [259.0, 82.0], [259.0, 95.0], [231.0, 95.0]], ('3.10', 0.9882604479789734)], [[[67.0, 98.0], [174.0, 104.0], [173.0, 118.0], [66.0, 111.0]], ('1 Hot Spiced Acple Jce', 0.8798456192016602)], [[[229.0, 101.0], [258.0, 104.0], [257.0, 119.0], [228.0, 116.0]], ('5.15', 0.9938374161720276)], [[[69.0, 111.0], [134.0, 113.0], [133.0, 127.0], [68.0, 124.0]], ('1 Carrot Cake', 0.9374619126319885)], [[[69.0, 122.0], [158.0, 126.0], [158.0, 140.0], [68.0, 136.0]], ('1 Tarte Tatin Slice', 0.8764583468437195)], [[[229.0, 116.0], [255.0, 116.0], [255.0, 128.0], [229.0, 128.0]], ('4.40', 0.9474891424179077)], [[[228.0, 128.0], [255.0, 128.0], [255.0, 138.0], [228.0, 138.0]], ('4.90', 0.9826032519340515)], [[[95.0, 147.0], [151.0, 147.0], [151.0, 161.0], [95.0, 161.0]], ('Opt Svc Ch', 0.8878515958786011)], [[[222.0, 147.0], [254.0, 147.0], [254.0, 161.0], [222.0, 161.0]], ('2.98', 0.963668942451477)], [[[114.0, 158.0], [151.0, 158.0], [151.0, 172.0], [114.0, 172.0]], ('Ast.Due', 0.953405499458313)], [[[192.0, 157.0], [252.0, 159.0], [252.0, 173.0], [192.0, 171.0]], ('26.83', 0.9890637397766113)], [[[91.0, 181.0], [149.0, 181.0], [149.0, 192.0], [91.0, 192.0]], ('VAT.included', 0.8747288584709167)], [[[224.0, 180.0], [254.0, 180.0], [254.0, 194.0], [224.0, 194.0]], ('3.98', 0.9662604331970215)], [[[55.0, 204.0], [81.0, 204.0], [81.0, 218.0], [55.0, 218.0]], ('Cash', 0.9941014647483826)], [[[220.0, 203.0], [254.0, 203.0], [254.0, 217.0], [220.0, 217.0]], ('30.00', 0.9918503761291504)], [[[75.0, 227.0], [131.0, 227.0], [131.0, 241.0], [75.0, 241.0]], ('Change Due', 0.9493258595466614)], [[[225.0, 224.0], [254.0, 224.0], [254.0, 239.0], [225.0, 239.0]], ('3.17', 0.8676250576972961)], [[[89.0, 262.0], [227.0, 260.0], [227.0, 274.0], [89.0, 276.0]], ('Includes VAT at current rate', 0.9389695525169373)], [[[80.0, 275.0], [231.0, 272.0], [231.0, 286.0], [80.0, 289.0]], ('Service charge s discretionary', 0.9280627369880676)], [[[81.0, 299.0], [234.0, 296.0], [234.0, 309.0], [81.0, 313.0]], ('VAT No:849 1356 04 Inv No703841', 0.9110170602798462)], [[[90.0, 323.0], [227.0, 319.0], [228.0, 333.0], [90.0, 337.0]], ('Ce lebrate New Years Eve with', 0.9302327632904053)], [[[90.0, 334.0], [228.0, 332.0], [228.0, 345.0], [90.0, 347.0]], ('stunning views of the Thames', 0.9206781387329102)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "03/12/17", "time": "02:40pm", "subtotal": "", "tax": "\u00a33.98", "total": "\u00a326.83", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FlatWhite", "item_value": "\u00a33.20", "item_quantity": "1"}, {"item_key": "", "item_name": "RegLatte", "item_value": "\u00a33.10", "item_quantity": "1"}, {"item_key": "", "item_name": "DecafCoffee", "item_value": "\u00a33.10", "item_quantity": "1"}, {"item_key": "", "item_name": "RegLatteDecaf", "item_value": "\u00a35.15", "item_quantity": "1"}, {"item_key": "", "item_name": "HotSpicedAppleJoe", "item_value": "\u00a34.40", "item_quantity": "1"}, {"item_key": "", "item_name": "CarrotCake", "item_value": "\u00a34.90", "item_quantity": "1"}, {"item_key": "", "item_name": "TarteTatinSlice", "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	[[[[70.0, 13.0], [254.0, 36.0], [248.0, 92.0], [64.0, 69.0]], ('Ferrara', 0.7046396136283875)], [[[91.0, 89.0], [210.0, 92.0], [210.0, 113.0], [91.0, 110.0]], ('195 Grand Street', 0.9525447487831116)], [[[83.0, 107.0], [216.0, 112.0], [215.0, 133.0], [82.0, 128.0]], ('New York,NY 10013', 0.8799185752868652)], [[[105.0, 128.0], [196.0, 131.0], [195.0, 148.0], [104.0, 146.0]], ('212-226-6150', 0.9940217137336731)], [[[75.0, 147.0], [217.0, 150.0], [216.0, 168.0], [75.0, 165.0]], ('www.Ferraracafe.com', 0.9836816191673279)], [[[8.0, 185.0], [85.0, 184.0], [86.0, 202.0], [9.0, 203.0]], ('22 Carmelo', 0.9299048185348511)], [[[3.0, 221.0], [70.0, 221.0], [70.0, 239.0], [3.0, 239.0]], ('Tb1110/1', 0.9795376658439636)], [[[120.0, 220.0], [182.0, 220.0], [182.0, 238.0], [120.0, 238.0]], ('Chk 2496', 0.9537645578384399)], [[[250.0, 219.0], [299.0, 219.0], [299.0, 240.0], [250.0, 240.0]], ('Gst 2', 0.8939806818962097)], [[[91.0, 239.0], [211.0, 239.0], [211.0, 256.0], [91.0, 256.0]], ("Sep02'15 02:13FM", 0.9101781249046326)], [[[31.0, 276.0], [122.0, 276.0], [122.0, 293.0], [31.0, 293.0]], ('Dining', 0.9984180331230164)], [[[16.0, 295.0], [121.0, 293.0], [122.0, 310.0], [16.0, 313.0]], ('1 House Coffee', 0.9542931914329529)], [[[245.0, 291.0], [278.0, 291.0], [278.0, 310.0], [245.0, 310.0]], ('4.25', 0.9872201681137085)], [[[14.0, 314.0], [64.0, 311.0], [65.0, 329.0], [15.0, 332.0]], ('1 Milk', 0.8913214206695557)], [[[245.0, 310.0], [279.0, 310.0], [279.0, 329.0], [245.0, 329.0]], ('3.50', 0.9260300397872925)], [[[14.0, 331.0], [115.0, 327.0], [115.0, 347.0], [15.0, 351.0]], ('1 Carrot Cake', 0.9551264047622681)], [[[246.0, 329.0], [279.0, 329.0], [279.0, 348.0], [246.0, 348.0]], ('7.95', 0.9928906559944153)], [[[15.0, 348.0], [85.0, 348.0], [85.0, 366.0], [15.0, 366.0]], ('1 Cannoli', 0.9142885208129883)], [[[246.0, 347.0], [280.0, 347.0], [280.0, 366.0], [246.0, 366.0]], ('6.50', 0.995307445526123)], [[[32.0, 386.0], [92.0, 386.0], [92.0, 404.0], [32.0, 404.0]], ('Subtotal', 0.9940482974052429)], [[[239.0, 384.0], [280.0, 384.0], [280.0, 402.0], [239.0, 402.0]], ('22.20', 0.9964240789413452)], [[[32.0, 403.0], [56.0, 406.0], [55.0, 423.0], [30.0, 420.0]], ('Tax', 0.9956316351890564)], [[[246.0, 403.0], [280.0, 403.0], [280.0, 421.0], [246.0, 421.0]], ('1.97', 0.9980574250221252)], [[[2.0, 421.0], [130.0, 424.0], [130.0, 444.0], [2.0, 441.0]], ('02:35PM Tota1 Due', 0.9315972328186035)], [[[203.0, 423.0], [277.0, 423.0], [277.0, 440.0], [203.0, 440.0]], ('24.17', 0.9843688011169434)]]	{"store_name": "", "store_addr": "195GrandStreet NewYork,NY10013", "telephone": "212-226-6150", "date": "Sep02'15", "time": "02:35PM", "subtotal": "22.20", "tax": "1.97", "total": "24.17", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HouseCoffee", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Milk", "item_value": "7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CarrotCake", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Cannoli", "item_value": "4.25", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[114.0, 25.0], [229.0, 23.0], [229.0, 39.0], [114.0, 42.0]], ("Fatboy's", 0.9837290048599243)], [[[56.0, 43.0], [256.0, 38.0], [256.0, 58.0], [57.0, 62.0]], ('The Burger Bar', 0.9494463801383972)], [[[91.0, 60.0], [223.0, 58.0], [224.0, 75.0], [91.0, 77.0]], ('485 Joo Chiat Road', 0.931743323802948)], [[[104.0, 78.0], [207.0, 76.0], [208.0, 93.0], [104.0, 95.0]], ('Tel6348 6081', 0.8909342885017395)], [[[29.0, 115.0], [185.0, 115.0], [185.0, 129.0], [29.0, 129.0]], ('22/02/201312:44T001', 0.9733381867408752)], [[[234.0, 112.0], [302.0, 112.0], [302.0, 129.0], [234.0, 129.0]], ('201302221', 0.997578501701355)], [[[29.0, 131.0], [106.0, 131.0], [106.0, 145.0], [29.0, 145.0]], ('Table87', 0.8483245968818665)], [[[249.0, 130.0], [303.0, 130.0], [303.0, 147.0], [249.0, 147.0]], ('A041721', 0.9917604327201843)], [[[38.0, 163.0], [202.0, 165.0], [202.0, 182.0], [37.0, 180.0]], ('2Chocolate Malt Shake', 0.931908130645752)], [[[265.0, 166.0], [304.0, 166.0], [304.0, 181.0], [265.0, 181.0]], ('14.00', 0.9974137544631958)], [[[39.0, 181.0], [130.0, 183.0], [129.0, 200.0], [38.0, 198.0]], ('1 Lime Juice', 0.890925407409668)], [[[270.0, 184.0], [304.0, 184.0], [304.0, 199.0], [270.0, 199.0]], ('3.50', 0.9964898824691772)], [[[40.0, 198.0], [108.0, 200.0], [107.0, 218.0], [39.0, 215.0]], ('1 Stiffee', 0.9106385707855225)], [[[265.0, 202.0], [304.0, 202.0], [304.0, 217.0], [265.0, 217.0]], ('13.50', 0.9972622990608215)], [[[41.0, 216.0], [129.0, 219.0], [128.0, 236.0], [40.0, 234.0]], ('1Wimpy Beef', 0.9319605231285095)], [[[264.0, 218.0], [304.0, 218.0], [304.0, 236.0], [264.0, 236.0]], ('14.50', 0.9941607713699341)], [[[41.0, 234.0], [186.0, 237.0], [186.0, 254.0], [40.0, 251.0]], ('1 Royale with Cheese', 0.934777557849884)], [[[264.0, 237.0], [304.0, 237.0], [304.0, 255.0], [264.0, 255.0]], ('12.00', 0.9966894388198853)], [[[57.0, 269.0], [127.0, 271.0], [126.0, 288.0], [56.0, 286.0]], ('TOTAL', 0.9986709356307983)], [[[226.0, 271.0], [303.0, 273.0], [302.0, 291.0], [225.0, 289.0]], ('57.50', 0.9940972328186035)], [[[56.0, 289.0], [87.0, 289.0], [87.0, 304.0], [56.0, 304.0]], ('CASH', 0.9498547315597534)], [[[257.0, 289.0], [304.0, 292.0], [303.0, 310.0], [256.0, 307.0]], ('100.00', 0.9976181387901306)], [[[55.0, 304.0], [142.0, 307.0], [141.0, 323.0], [54.0, 321.0]], ('CHANGE', 0.9983752369880676)], [[[227.0, 307.0], [302.0, 310.0], [301.0, 327.0], [226.0, 325.0]], ('42.50', 0.9979920387268066)]]	{"store_name": "TheBurgerBar Fatboy's", "store_addr": "485JooChiatRoad", "telephone": "63466081", "date": "22/02/2013", "time": "12:44", "subtotal": "", "tax": "", "total": "57.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "RoyalewithCheese", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WimpyBeef", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Stiffee", "item_value": "13.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LimeJuice", "item_value": "14.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocolateMaltShake", "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	[[[[383.0, 39.0], [558.0, 42.0], [557.0, 64.0], [382.0, 60.0]], ('RECEIPT', 0.9954065084457397)], [[[241.0, 141.0], [460.0, 125.0], [461.0, 151.0], [243.0, 166.0]], ('VERIZON WIRELESS', 0.9514053463935852)], [[[241.0, 168.0], [450.0, 150.0], [452.0, 176.0], [243.0, 193.0]], ('3372 E State St', 0.9222065210342407)], [[[184.0, 196.0], [518.0, 169.0], [520.0, 199.0], [186.0, 225.0]], ('Hermitage,PA 16148-3301', 0.9402015805244446)], [[[256.0, 215.0], [438.0, 200.0], [441.0, 229.0], [258.0, 244.0]], ('724347-4360', 0.9922855496406555)], [[[215.0, 244.0], [484.0, 227.0], [485.0, 253.0], [216.0, 270.0]], ('verizonwireless.com', 0.9869252443313599)], [[[421.0, 359.0], [656.0, 341.0], [658.0, 371.0], [423.0, 390.0]], ('0625001 #648398', 0.9673578143119812)], [[[69.0, 382.0], [287.0, 370.0], [288.0, 397.0], [71.0, 409.0]], ('Order Location:', 0.9673439264297485)], [[[539.0, 379.0], [659.0, 371.0], [660.0, 398.0], [540.0, 405.0]], ('0625001', 0.9970992207527161)], [[[69.0, 411.0], [319.0, 397.0], [320.0, 423.0], [71.0, 437.0]], ('Receive Location:', 0.9684500098228455)], [[[410.0, 416.0], [662.0, 399.0], [664.0, 426.0], [412.0, 443.0]], ('01/05/1215:39ET', 0.978263258934021)], [[[67.0, 439.0], [333.0, 424.0], [334.0, 449.0], [68.0, 464.0]], ('Receipt Date/Time:', 0.9539559483528137)], [[[443.0, 443.0], [668.0, 428.0], [670.0, 457.0], [445.0, 472.0]], ('USWINID-EP880', 0.9685984253883362)], [[[66.0, 467.0], [247.0, 454.0], [250.0, 483.0], [68.0, 496.0]], ('Register:08', 0.9629358649253845)], [[[65.0, 496.0], [218.0, 485.0], [220.0, 515.0], [67.0, 526.0]], ('Pmt 1of1', 0.8768457770347595)], [[[583.0, 520.0], [650.0, 520.0], [650.0, 553.0], [583.0, 553.0]], ('Your', 0.9988041520118713)], [[[384.0, 532.0], [477.0, 526.0], [479.0, 561.0], [386.0, 567.0]], ('Retail', 0.9877901077270508)], [[[584.0, 553.0], [669.0, 550.0], [670.0, 581.0], [586.0, 584.0]], ('Price', 0.9982488751411438)], [[[388.0, 564.0], [468.0, 564.0], [468.0, 596.0], [388.0, 596.0]], ('Price', 0.9987629652023315)], [[[65.0, 647.0], [237.0, 635.0], [239.0, 664.0], [67.0, 676.0]], ('FEDEXSHP002', 0.9936017394065857)], [[[406.0, 654.0], [487.0, 649.0], [490.0, 685.0], [408.0, 691.0]], ('$0.00', 0.9977204203605652)], [[[592.0, 645.0], [677.0, 639.0], [679.0, 676.0], [594.0, 681.0]], ('$0.00', 0.9951772689819336)], [[[65.0, 678.0], [251.0, 666.0], [253.0, 696.0], [67.0, 708.0]], ('FEDEX2DAY7', 0.9892215728759766)], [[[62.0, 710.0], [239.0, 698.0], [241.0, 729.0], [65.0, 741.0]], ('SAMI515BATX', 0.9929613471031189)], [[[582.0, 710.0], [682.0, 704.0], [684.0, 739.0], [584.0, 746.0]], ('$24.99', 0.9963642954826355)], [[[394.0, 720.0], [491.0, 713.0], [493.0, 750.0], [396.0, 757.0]], ('$49.99', 0.9459061026573181)], [[[62.0, 745.0], [254.0, 732.0], [256.0, 762.0], [65.0, 775.0]], ('BAT:SAM NEXU', 0.9120001196861267)], [[[586.0, 774.0], [672.0, 768.0], [675.0, 805.0], [589.0, 811.0]], ('$1.50', 0.964647650718689)], [[[128.0, 805.0], [415.0, 788.0], [417.0, 817.0], [129.0, 834.0]], ('PA State Sales Tax', 0.9235820770263672)], [[[588.0, 807.0], [676.0, 802.0], [678.0, 837.0], [591.0, 843.0]], ('$1.50', 0.993847668170929)], [[[211.0, 834.0], [477.0, 818.0], [479.0, 848.0], [213.0, 864.0]], ('Total Taxes/Fees', 0.9468237161636353)], [[[576.0, 843.0], [677.0, 836.0], [679.0, 871.0], [579.0, 877.0]], ('$26.49', 0.9500963687896729)], [[[389.0, 854.0], [482.0, 847.0], [485.0, 882.0], [392.0, 889.0]], ('Total:', 0.9885222315788269)], [[[581.0, 908.0], [681.0, 900.0], [684.0, 935.0], [584.0, 943.0]], ('$25.00', 0.9966068267822266)], [[[261.0, 928.0], [485.0, 916.0], [486.0, 949.0], [263.0, 961.0]], ('Total Savings:', 0.944945216178894)], [[[585.0, 973.0], [686.0, 965.0], [689.0, 1001.0], [588.0, 1009.0]], ('$26.49', 0.9943223595619202)], [[[281.0, 993.0], [490.0, 981.0], [492.0, 1017.0], [283.0, 1029.0]], ('This Payment:', 0.941900372505188)]]	{"store_name": "VERIZONWIRELESS", "store_addr": "Hermitage,PA16148-3301 3372EStateSt", "telephone": "(724)347-4360", "date": "01/05/12", "time": "15:39ET", "subtotal": "", "tax": "$1.50 $1.50", "total": "$26.49 $26.49", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BAT:SAMNEXU", "item_value": "$24.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SAMI515BATX", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FEDEX2DAY7", "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, 5.0], [598.0, 11.0], [598.0, 34.0], [76.0, 28.0]], ('The Meijer Team appreciates your business', 0.9550750255584717)], [[[291.0, 32.0], [397.0, 32.0], [397.0, 55.0], [291.0, 55.0]], ('01/26/09', 0.9975221157073975)], [[[113.0, 56.0], [561.0, 59.0], [561.0, 82.0], [113.0, 79.0]], ('Your fast and friendly checkout was', 0.9534975290298462)], [[[212.0, 84.0], [471.0, 83.0], [471.0, 106.0], [212.0, 107.0]], ('provi ded by FAsTLANE', 0.9060330390930176)], [[[61.0, 130.0], [596.0, 133.0], [596.0, 155.0], [61.0, 153.0]], ('*xSAVINGSTODAYX', 0.7960264086723328)], [[[61.0, 155.0], [394.0, 157.0], [394.0, 180.0], [61.0, 178.0]], ('TOTAL MEIJER PROMOTIONS', 0.9539434313774109)], [[[505.0, 158.0], [596.0, 158.0], [596.0, 181.0], [505.0, 181.0]], ('7.97', 0.989200234413147)], [[[60.0, 181.0], [406.0, 182.0], [406.0, 205.0], [60.0, 204.0]], ('TOTAL NON-COUPON SAVINGS', 0.9593060612678528)], [[[505.0, 181.0], [596.0, 181.0], [596.0, 205.0], [505.0, 205.0]], ('6.94', 0.9912720918655396)], [[[60.0, 205.0], [394.0, 208.0], [394.0, 230.0], [60.0, 228.0]], ('TOTAL COUPON SAVINGS OF', 0.9463024735450745)], [[[507.0, 208.0], [598.0, 208.0], [598.0, 232.0], [507.0, 232.0]], ('8.50', 0.9946891069412231)], [[[60.0, 230.0], [422.0, 232.0], [422.0, 255.0], [60.0, 253.0]], ('XSAVINGSTOTAL', 0.9426694512367249)], [[[443.0, 233.0], [596.0, 233.0], [596.0, 256.0], [443.0, 256.0]], ('23.41', 0.9762511253356934)], [[[61.0, 283.0], [244.0, 283.0], [244.0, 301.0], [61.0, 301.0]], ('GENERAL', 0.9683218002319336)], [[[261.0, 280.0], [545.0, 283.0], [545.0, 306.0], [261.0, 303.0]], ('MERCHANDISE', 0.9921945929527283)], [[[59.0, 304.0], [190.0, 307.0], [190.0, 330.0], [58.0, 327.0]], ('7301028010', 0.9983704686164856)], [[[239.0, 307.0], [330.0, 307.0], [330.0, 330.0], [239.0, 330.0]], ('TAMPONS', 0.9973158240318298)], [[[493.0, 307.0], [549.0, 307.0], [549.0, 331.0], [493.0, 331.0]], ('2.97', 0.9967164397239685)], [[[585.0, 302.0], [604.0, 313.0], [593.0, 334.0], [573.0, 323.0]], ('T', 0.778647243976593)], [[[60.0, 330.0], [187.0, 330.0], [187.0, 352.0], [60.0, 352.0]], ('2270010065', 0.9970822334289551)], [[[236.0, 331.0], [356.0, 331.0], [356.0, 354.0], [236.0, 354.0]], ('LIP COLOR', 0.9475141167640686)], [[[493.0, 331.0], [550.0, 331.0], [550.0, 355.0], [493.0, 355.0]], ('7.97', 0.989128828048706)], [[[568.0, 334.0], [598.0, 334.0], [598.0, 355.0], [568.0, 355.0]], ('CT', 0.9931280612945557)], [[[70.0, 352.0], [228.0, 357.0], [228.0, 381.0], [69.0, 376.0]], ('=>FREE 1tem', 0.8684022426605225)], [[[482.0, 356.0], [550.0, 356.0], [550.0, 380.0], [482.0, 380.0]], ('-7.97', 0.9622131586074829)], [[[566.0, 358.0], [596.0, 358.0], [596.0, 380.0], [566.0, 380.0]], ('CT', 0.9958161115646362)], [[[57.0, 378.0], [190.0, 381.0], [190.0, 405.0], [57.0, 402.0]], ('2270010074', 0.9985934495925903)], [[[236.0, 380.0], [342.0, 380.0], [342.0, 405.0], [236.0, 405.0]], ('LIPCOLOR', 0.9976757168769836)], [[[493.0, 382.0], [551.0, 382.0], [551.0, 406.0], [493.0, 406.0]], ('7.97', 0.9956350326538086)], [[[566.0, 383.0], [596.0, 383.0], [596.0, 405.0], [566.0, 405.0]], ('CT', 0.9956870079040527)], [[[58.0, 431.0], [231.0, 431.0], [231.0, 450.0], [58.0, 450.0]], ('GROCERY', 0.9925203919410706)], [[[57.0, 454.0], [189.0, 457.0], [188.0, 480.0], [57.0, 477.0]], ('1254667304', 0.9987572431564331)], [[[236.0, 457.0], [278.0, 457.0], [278.0, 478.0], [236.0, 478.0]], ('GUM', 0.997445285320282)], [[[492.0, 457.0], [596.0, 457.0], [596.0, 481.0], [492.0, 481.0]], ('1.99RFT', 0.9884684681892395)], [[[56.0, 478.0], [186.0, 478.0], [186.0, 501.0], [56.0, 501.0]], ('3700003866', 0.9983707666397095)], [[[247.0, 480.0], [316.0, 480.0], [316.0, 504.0], [247.0, 504.0]], ('FLOSS', 0.9957987666130066)], [[[490.0, 482.0], [549.0, 482.0], [549.0, 506.0], [490.0, 506.0]], ('3.69', 0.9932041764259338)], [[[57.0, 505.0], [201.0, 505.0], [201.0, 528.0], [57.0, 528.0]], ('4610000084', 0.9906079769134521)], [[[236.0, 505.0], [391.0, 505.0], [391.0, 528.0], [236.0, 528.0]], ('SHRED CHEESE', 0.96332186460495)], [[[118.0, 533.0], [163.0, 533.0], [163.0, 556.0], [118.0, 556.0]], ('was', 0.9985449910163879)], [[[235.0, 530.0], [291.0, 530.0], [291.0, 555.0], [235.0, 555.0]], ('4.09', 0.9965419173240662)], [[[375.0, 534.0], [417.0, 534.0], [417.0, 555.0], [375.0, 555.0]], ('now', 0.9820449948310852)], [[[490.0, 530.0], [549.0, 530.0], [549.0, 556.0], [490.0, 556.0]], ('1.89', 0.9967873096466064)], [[[568.0, 526.0], [587.0, 533.0], [578.0, 556.0], [560.0, 549.0]], ('F', 0.9820255041122437)], [[[57.0, 557.0], [198.0, 557.0], [198.0, 576.0], [57.0, 576.0]], ('4400000013', 0.9629991054534912)], [[[235.0, 556.0], [378.0, 556.0], [378.0, 579.0], [235.0, 579.0]], ('SNK CRACKER', 0.9688098430633545)], [[[115.0, 577.0], [291.0, 577.0], [291.0, 605.0], [115.0, 605.0]], ('12/4.00', 0.9898898005485535)], [[[120.0, 608.0], [159.0, 608.0], [159.0, 628.0], [120.0, 628.0]], ('was', 0.9987797737121582)], [[[234.0, 604.0], [289.0, 604.0], [289.0, 630.0], [234.0, 630.0]], ('2.75', 0.8859107494354248)], [[[374.0, 605.0], [418.0, 610.0], [415.0, 632.0], [371.0, 626.0]], ('now', 0.9682394862174988)], [[[489.0, 605.0], [549.0, 605.0], [549.0, 631.0], [489.0, 631.0]], ('2.00', 0.9974856376647949)], [[[561.0, 605.0], [584.0, 605.0], [584.0, 630.0], [561.0, 630.0]], ('F', 0.9932819604873657)], [[[55.0, 628.0], [198.0, 631.0], [198.0, 654.0], [54.0, 651.0]], ('4400000067', 0.9694633483886719)], [[[235.0, 630.0], [378.0, 630.0], [378.0, 652.0], [235.0, 652.0]], ('SNK CRACKER', 0.9526662230491638)], [[[114.0, 651.0], [291.0, 654.0], [290.0, 682.0], [114.0, 679.0]], ('12/4.00', 0.9928339719772339)], [[[117.0, 682.0], [162.0, 682.0], [162.0, 705.0], [117.0, 705.0]], ('was', 0.9982647895812988)], [[[230.0, 679.0], [288.0, 676.0], [290.0, 702.0], [232.0, 705.0]], ('2.75', 0.996031641960144)], [[[374.0, 683.0], [418.0, 683.0], [418.0, 706.0], [374.0, 706.0]], ('now', 0.9920396208763123)], [[[488.0, 681.0], [547.0, 681.0], [547.0, 706.0], [488.0, 706.0]], ('2.00', 0.9948076009750366)], [[[565.0, 677.0], [584.0, 680.0], [579.0, 706.0], [560.0, 702.0]], ('F', 0.9919247031211853)], [[[56.0, 703.0], [197.0, 703.0], [197.0, 726.0], [56.0, 726.0]], ('7192100765', 0.9888598918914795)], [[[233.0, 702.0], [390.0, 705.0], [390.0, 729.0], [232.0, 726.0]], ('FROZEN PIZZA', 0.9711357951164246)], [[[117.0, 733.0], [160.0, 733.0], [160.0, 753.0], [117.0, 753.0]], ('was', 0.997467041015625)], [[[232.0, 729.0], [289.0, 729.0], [289.0, 753.0], [232.0, 753.0]], ('5.98', 0.9817853569984436)], [[[372.0, 734.0], [416.0, 734.0], [416.0, 754.0], [372.0, 754.0]], ('now', 0.9900419116020203)], [[[488.0, 730.0], [546.0, 730.0], [546.0, 754.0], [488.0, 754.0]], ('4.79', 0.9934669137001038)], [[[566.0, 726.0], [584.0, 731.0], [578.0, 755.0], [560.0, 751.0]], ('F', 0.9527823328971863)], [[[56.0, 754.0], [197.0, 754.0], [197.0, 777.0], [56.0, 777.0]], ('*2100064592', 0.9690984487533569)], [[[231.0, 751.0], [391.0, 754.0], [391.0, 778.0], [231.0, 775.0]], ('MIR WIP LIGH', 0.9242968559265137)], [[[115.0, 780.0], [200.0, 780.0], [200.0, 804.0], [115.0, 804.0]], ('12', 0.9900435209274292)], [[[230.0, 778.0], [288.0, 778.0], [288.0, 802.0], [230.0, 802.0]], ('5.00', 0.9974201321601868)], [[[114.0, 805.0], [162.0, 805.0], [162.0, 829.0], [114.0, 829.0]], ('was', 0.9972882866859436)], [[[229.0, 804.0], [287.0, 801.0], [288.0, 826.0], [231.0, 830.0]], ('2.55', 0.988917887210846)], [[[371.0, 808.0], [416.0, 808.0], [416.0, 831.0], [371.0, 831.0]], ('now', 0.9872578978538513)], [[[486.0, 805.0], [546.0, 805.0], [546.0, 829.0], [486.0, 829.0]], ('2.50', 0.9959673285484314)], [[[561.0, 806.0], [580.0, 806.0], [580.0, 829.0], [561.0, 829.0]], ('F', 0.9546017646789551)], [[[53.0, 829.0], [197.0, 829.0], [197.0, 852.0], [53.0, 852.0]], ('x4440015130', 0.95562344789505)], [[[232.0, 829.0], [376.0, 829.0], [376.0, 852.0], [232.0, 852.0]], ('GRTN SCAMPI', 0.9679157733917236)], [[[115.0, 857.0], [160.0, 857.0], [160.0, 880.0], [115.0, 880.0]], ('was', 0.99853515625)], [[[231.0, 853.0], [288.0, 853.0], [288.0, 877.0], [231.0, 877.0]], ('7.99', 0.9939793348312378)], [[[369.0, 856.0], [417.0, 856.0], [417.0, 880.0], [369.0, 880.0]], ('now', 0.9923663139343262)], [[[486.0, 855.0], [545.0, 855.0], [545.0, 879.0], [486.0, 879.0]], ('5.99', 0.9980857968330383)], [[[562.0, 854.0], [581.0, 857.0], [577.0, 879.0], [558.0, 877.0]], ('F', 0.991970419883728)], [[[54.0, 903.0], [232.0, 903.0], [232.0, 926.0], [54.0, 926.0]], ('COUPONS', 0.9928255677223206)], [[[53.0, 928.0], [197.0, 928.0], [197.0, 951.0], [53.0, 951.0]], ('54610012050', 0.9981653690338135)], [[[231.0, 927.0], [401.0, 930.0], [400.0, 954.0], [231.0, 951.0]], ('Vendor Coupon', 0.9755696058273315)], [[[487.0, 923.0], [546.0, 930.0], [543.0, 955.0], [484.0, 949.0]], ('-.50', 0.8617082834243774)], [[[562.0, 931.0], [580.0, 931.0], [580.0, 954.0], [562.0, 954.0]], ('F', 0.9917404651641846)], [[[51.0, 951.0], [196.0, 954.0], [195.0, 978.0], [50.0, 975.0]], ('54610012050', 0.998104453086853)], [[[231.0, 952.0], [389.0, 955.0], [388.0, 978.0], [231.0, 975.0]], ('EXTRA COUPON', 0.9642329812049866)], [[[486.0, 954.0], [543.0, 954.0], [543.0, 979.0], [486.0, 979.0]], ('-.50', 0.9317927956581116)], [[[561.0, 955.0], [579.0, 955.0], [579.0, 978.0], [561.0, 978.0]], ('F', 0.9923100471496582)], [[[52.0, 978.0], [196.0, 978.0], [196.0, 1001.0], [52.0, 1001.0]], ('57301010050', 0.998411238193512)], [[[231.0, 978.0], [399.0, 981.0], [399.0, 1003.0], [231.0, 1001.0]], ('Vendor Coupen', 0.9309222102165222)], [[[486.0, 976.0], [544.0, 980.0], [542.0, 1005.0], [484.0, 1002.0]], ('-.50', 0.9495772123336792)], [[[575.0, 981.0], [592.0, 981.0], [592.0, 1005.0], [575.0, 1005.0]], ('N', 0.9845908880233765)], [[[52.0, 1003.0], [194.0, 1003.0], [194.0, 1026.0], [52.0, 1026.0]], ('57301010050', 0.9986466765403748)], [[[231.0, 1005.0], [387.0, 1005.0], [387.0, 1027.0], [231.0, 1027.0]], ('EXTRA COUPON', 0.9617419838905334)], [[[485.0, 1003.0], [542.0, 1003.0], [542.0, 1029.0], [485.0, 1029.0]], ('-.50', 0.8365561962127686)], [[[575.0, 1002.0], [593.0, 1006.0], [589.0, 1030.0], [571.0, 1027.0]], ('T', 0.9182643890380859)], [[[50.0, 1027.0], [193.0, 1027.0], [193.0, 1050.0], [50.0, 1050.0]], ('51254622476', 0.9885154962539673)], [[[231.0, 1027.0], [399.0, 1030.0], [399.0, 1053.0], [231.0, 1050.0]], ('Vendor Coupon', 0.9578650593757629)], [[[477.0, 1029.0], [541.0, 1029.0], [541.0, 1053.0], [477.0, 1053.0]], ('-1.00', 0.9547609090805054)], [[[562.0, 1030.0], [579.0, 1030.0], [579.0, 1052.0], [562.0, 1052.0]], ('F', 0.9871730804443359)], [[[49.0, 1050.0], [193.0, 1053.0], [193.0, 1076.0], [49.0, 1073.0]], ('52270099276', 0.9981358051300049)], [[[230.0, 1050.0], [400.0, 1054.0], [399.0, 1079.0], [229.0, 1074.0]], ('Vendor Coupon', 0.9711114168167114)], [[[475.0, 1054.0], [541.0, 1054.0], [541.0, 1078.0], [475.0, 1078.0]], ('-1.00', 0.8260309100151062)], [[[573.0, 1056.0], [592.0, 1056.0], [592.0, 1078.0], [573.0, 1078.0]], ('N', 0.9949583411216736)], [[[50.0, 1077.0], [193.0, 1077.0], [193.0, 1100.0], [50.0, 1100.0]], ('53700065076', 0.9987857937812805)], [[[230.0, 1076.0], [399.0, 1078.0], [399.0, 1103.0], [229.0, 1100.0]], ('Vendor Coupon', 0.9778092503547668)], [[[474.0, 1078.0], [541.0, 1078.0], [541.0, 1102.0], [474.0, 1102.0]], ('-1.00', 0.9795175790786743)], [[[573.0, 1080.0], [592.0, 1080.0], [592.0, 1102.0], [573.0, 1102.0]], ('N', 0.9965459704399109)], [[[49.0, 1100.0], [193.0, 1103.0], [193.0, 1127.0], [49.0, 1124.0]], ('54440020078', 0.9988226294517517)], [[[228.0, 1101.0], [398.0, 1104.0], [398.0, 1128.0], [228.0, 1125.0]], ('Vendor Coupon', 0.9609893560409546)], [[[474.0, 1104.0], [541.0, 1104.0], [541.0, 1128.0], [474.0, 1128.0]], ('-1.50', 0.9605476260185242)], [[[562.0, 1104.0], [579.0, 1104.0], [579.0, 1128.0], [562.0, 1128.0]], ('F', 0.9965020418167114)], [[[48.0, 1125.0], [193.0, 1128.0], [193.0, 1152.0], [47.0, 1149.0]], ('54400020051', 0.9986076354980469)], [[[229.0, 1125.0], [398.0, 1129.0], [398.0, 1154.0], [228.0, 1149.0]], ('Vendor Coupon', 0.9783146977424622)], [[[471.0, 1127.0], [543.0, 1127.0], [543.0, 1155.0], [471.0, 1155.0]], ('-2.00', 0.9540403485298157)], [[[560.0, 1129.0], [576.0, 1129.0], [576.0, 1151.0], [560.0, 1151.0]], ('F', 0.9852384924888611)], [[[49.0, 1197.0], [178.0, 1200.0], [177.0, 1229.0], [49.0, 1226.0]], ('TOTAL', 0.9968183636665344)], [[[216.0, 1227.0], [334.0, 1227.0], [334.0, 1251.0], [216.0, 1251.0]], ('TOTAL TAX', 0.9332491755485535)], [[[499.0, 1227.0], [541.0, 1227.0], [541.0, 1254.0], [499.0, 1254.0]], ('.97', 0.9914023280143738)], [[[215.0, 1253.0], [281.0, 1253.0], [281.0, 1277.0], [215.0, 1277.0]], ('TOTAL', 0.9983041882514954)], [[[470.0, 1249.0], [541.0, 1253.0], [540.0, 1281.0], [468.0, 1278.0]], ('28.26', 0.9914152026176453)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "01/26/09", "time": "", "subtotal": "", "tax": ".97", "total": "28.26", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GRTNSCAMPI", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MIRWIPLIGH", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FROZENPIZZA", "item_value": "4.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SNKCRACKER", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SNKCRACKER", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SHREDCHEESE", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "FLOSS", "item_value": "3.69", "item_quantity": "1"}, {"item_key": "", "item_name": "GUM", "item_value": "1.99R", "item_quantity": "1"}, {"item_key": "", "item_name": "2270010074LIPCOLOR", "item_value": "7.97", "item_quantity": "1"}, {"item_key": "", "item_name": "LIPCOLOR", "item_value": "7.97", "item_quantity": "1"}, {"item_key": "", "item_name": "TAMPONS", "item_value": "2.97", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[481.0, 175.0], [526.0, 175.0], [526.0, 196.0], [481.0, 196.0]], ('23:15', 0.9418185949325562)], [[[275.0, 192.0], [346.0, 184.0], [349.0, 207.0], [277.0, 215.0]], ('04/06/13', 0.9926655292510986)], [[[360.0, 205.0], [458.0, 199.0], [459.0, 220.0], [361.0, 227.0]], ('SALES QRAFT.', 0.8662889003753662)], [[[306.0, 252.0], [527.0, 236.0], [529.0, 254.0], [308.0, 270.0]], ('Mandarin OrientalNew York', 0.9459595680236816)], [[[332.0, 269.0], [483.0, 259.0], [484.0, 277.0], [334.0, 288.0]], ('80 Columbus Circle', 0.9516983032226562)], [[[335.0, 290.0], [491.0, 278.0], [493.0, 297.0], [336.0, 308.0]], ('New YorkNY10023', 0.9500611424446106)], [[[344.0, 309.0], [485.0, 299.0], [486.0, 317.0], [346.0, 328.0]], ('+1212)805 8800', 0.923136830329895)], [[[289.0, 354.0], [415.0, 345.0], [417.0, 363.0], [290.0, 373.0]], ('MERCHID:87668', 0.9526422023773193)], [[[291.0, 372.0], [399.0, 366.0], [401.0, 386.0], [292.0, 392.0]], ('CASHIER:Mei', 0.9415849447250366)], [[[432.0, 383.0], [477.0, 383.0], [477.0, 403.0], [432.0, 403.0]], ('MOBar', 0.9913539886474609)], [[[294.0, 394.0], [395.0, 386.0], [396.0, 404.0], [296.0, 413.0]], ('TERMIAL22', 0.901992678642273)], [[[378.0, 427.0], [416.0, 427.0], [416.0, 447.0], [378.0, 447.0]], ('Visa', 0.9938443899154663)], [[[299.0, 473.0], [346.0, 473.0], [346.0, 493.0], [299.0, 493.0]], ('NAME:', 0.9805986285209656)], [[[390.0, 467.0], [513.0, 459.0], [514.0, 479.0], [391.0, 487.0]], ('GOODMAN/TIMOTHY', 0.9915430545806885)], [[[300.0, 494.0], [360.0, 490.0], [362.0, 510.0], [301.0, 514.0]], ('NUMBER:', 0.9798353910446167)], [[[391.0, 488.0], [491.0, 481.0], [493.0, 499.0], [392.0, 506.0]], ('XXXXXXXXXXXX', 0.7555887699127197)], [[[301.0, 515.0], [363.0, 510.0], [365.0, 530.0], [303.0, 535.0]], ('EXPIRE:', 0.9648793935775757)], [[[392.0, 507.0], [437.0, 505.0], [438.0, 525.0], [393.0, 528.0]], ('XX/XX', 0.8444477915763855)], [[[300.0, 535.0], [345.0, 532.0], [346.0, 548.0], [301.0, 551.0]], ('AUTH', 0.8380212783813477)], [[[393.0, 527.0], [447.0, 523.0], [448.0, 543.0], [395.0, 547.0]], ('031323', 0.9983102679252625)], [[[395.0, 547.0], [448.0, 543.0], [449.0, 563.0], [397.0, 567.0]], ('138.27', 0.9934292435646057)], [[[398.0, 586.0], [450.0, 583.0], [451.0, 604.0], [399.0, 606.0]], ('261201', 0.9978418350219727)], [[[401.0, 607.0], [430.0, 607.0], [430.0, 627.0], [401.0, 627.0]], ('109', 0.9992656111717224)], [[[403.0, 646.0], [457.0, 643.0], [458.0, 666.0], [404.0, 669.0]], ('138.27', 0.9858772158622742)], [[[555.0, 672.0], [648.0, 641.0], [663.0, 687.0], [570.0, 718.0]], ('260', 0.8990035057067871)], [[[320.0, 713.0], [390.0, 709.0], [391.0, 729.0], [321.0, 733.0]], ('GRAIUILY', 0.8280996680259705)], [[[439.0, 746.0], [547.0, 714.0], [561.0, 764.0], [453.0, 795.0]], ('16429', 0.8819993734359741)], [[[324.0, 774.0], [376.0, 774.0], [376.0, 793.0], [324.0, 793.0]], ('TOTAL:', 0.9759238362312317)], [[[328.0, 834.0], [542.0, 820.0], [544.0, 839.0], [329.0, 852.0]], ('I agree to pay above total', 0.9253647327423096)], [[[329.0, 853.0], [553.0, 840.0], [554.0, 859.0], [330.0, 873.0]], ('amnunt according to my card', 0.9524524807929993)]]	{"store_name": "", "store_addr": "MandarinOriental,NewYork 80ColumbusCircle NewYork,NY,10023", "telephone": "+1(212)8058800", "date": "04/06/13", "time": "23:15", "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	[[[[143.0, 141.0], [491.0, 145.0], [491.0, 174.0], [143.0, 170.0]], ('Thank You For Choosing', 0.9538141489028931)], [[[235.0, 184.0], [396.0, 184.0], [396.0, 215.0], [235.0, 215.0]], ('PapaJohns', 0.9905717372894287)], [[[175.0, 228.0], [443.0, 226.0], [443.0, 254.0], [175.0, 256.0]], ('Restaurant # 3070', 0.9453198909759521)], [[[207.0, 266.0], [412.0, 270.0], [412.0, 301.0], [207.0, 297.0]], ('3477 Broadway', 0.9564343690872192)], [[[178.0, 312.0], [456.0, 312.0], [456.0, 339.0], [178.0, 339.0]], ('New York NY 10031', 0.9046850800514221)], [[[214.0, 353.0], [411.0, 353.0], [411.0, 380.0], [214.0, 380.0]], ('212368-7272', 0.9936169981956482)], [[[8.0, 389.0], [74.0, 389.0], [74.0, 421.0], [8.0, 421.0]], ('3989', 0.9997883439064026)], [[[255.0, 390.0], [413.0, 392.0], [413.0, 422.0], [255.0, 420.0]], ('01/06/2012', 0.9985227584838867)], [[[506.0, 389.0], [620.0, 394.0], [619.0, 426.0], [505.0, 421.0]], ('08:10pm', 0.9612957239151001)], [[[13.0, 433.0], [630.0, 438.0], [630.0, 458.0], [13.0, 453.0]], ('****************************************', 0.8636447787284851)], [[[214.0, 468.0], [409.0, 472.0], [409.0, 502.0], [214.0, 499.0]], ('InStore Order', 0.969243049621582)], [[[18.0, 544.0], [93.0, 548.0], [92.0, 577.0], [17.0, 573.0]], ('Name:', 0.9860641360282898)], [[[184.0, 547.0], [428.0, 557.0], [427.0, 587.0], [183.0, 577.0]], ('lady chinky eyes', 0.9540691375732422)]]	{"store_name": "PapaJohns Restaurant#3070 ladychinkyeyes", "store_addr": "3477Broadway NewYork,NY10031", "telephone": "(212)368-7272", "date": "01/06/2012", "time": "08:10pm", "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	[[[[92.0, 82.0], [139.0, 87.0], [137.0, 101.0], [91.0, 96.0]], ('34P', 0.6829902529716492)], [[[91.0, 94.0], [120.0, 100.0], [118.0, 111.0], [89.0, 105.0]], ('1b14/1', 0.8211350440979004)], [[[221.0, 97.0], [243.0, 97.0], [243.0, 109.0], [221.0, 109.0]], ('Gst.2', 0.7281247973442078)], [[[214.0, 122.0], [234.0, 122.0], [234.0, 134.0], [214.0, 134.0]], ('6.99', 0.8374826908111572)], [[[120.0, 132.0], [150.0, 132.0], [150.0, 147.0], [120.0, 147.0]], ('MASHEMEA', 0.6855553984642029)], [[[212.0, 146.0], [237.0, 146.0], [237.0, 167.0], [212.0, 167.0]], ('180.2', 0.5573617219924927)], [[[111.0, 193.0], [172.0, 190.0], [173.0, 204.0], [112.0, 207.0]], ('SOP CP', 0.6906641125679016)], [[[86.0, 211.0], [156.0, 216.0], [155.0, 230.0], [85.0, 225.0]], ('1 KIDS CHC KILK', 0.7632579803466797)], [[[91.0, 226.0], [131.0, 229.0], [130.0, 244.0], [90.0, 241.0]], ('Subtotal', 0.8973278999328613)], [[[211.0, 224.0], [242.0, 224.0], [242.0, 250.0], [211.0, 250.0]], ('25.46', 0.688603937625885)], [[[90.0, 243.0], [136.0, 245.0], [135.0, 259.0], [89.0, 257.0]], ('Total Due', 0.8840551376342773)], [[[93.0, 237.0], [106.0, 237.0], [106.0, 246.0], [93.0, 246.0]], ('HST', 0.9842126965522766)], [[[191.0, 244.0], [240.0, 242.0], [240.0, 257.0], [192.0, 259.0]], ('29.90', 0.9902384877204895)], [[[88.0, 259.0], [219.0, 259.0], [219.0, 276.0], [88.0, 276.0]], ('Total f Pying Cash $29.90', 0.8573643565177917)], [[[92.0, 277.0], [229.0, 278.0], [228.0, 292.0], [92.0, 291.0]], ('Te1] Us Ho Ne Did to Receive', 0.8412317633628845)], [[[86.0, 303.0], [229.0, 305.0], [228.0, 323.0], [85.0, 320.0]], ('Comp ete cur Guest survey at', 0.8756148219108582)], [[[90.0, 315.0], [225.0, 317.0], [225.0, 331.0], [90.0, 328.0]], ('www.swisschaletfeedback.com', 0.8971270322799683)], [[[80.0, 343.0], [233.0, 347.0], [233.0, 361.0], [80.0, 358.0]], ('Expiry in21 days;1 per table', 0.8790837526321411)], [[[116.0, 335.0], [210.0, 335.0], [210.0, 350.0], [116.0, 350.0]], ('Access Code:121315', 0.9368277788162231)], [[[87.0, 354.0], [231.0, 358.0], [230.0, 371.0], [86.0, 368.0]], ('Not valid with other offers', 0.904355525970459)], [[[83.0, 365.0], [231.0, 368.0], [230.0, 382.0], [82.0, 379.0]], ('Participating locations only:', 0.9454275369644165)], [[[86.0, 376.0], [227.0, 379.0], [226.0, 392.0], [85.0, 389.0]], ('Must show survey validation', 0.9015952944755554)], [[[75.0, 386.0], [237.0, 390.0], [237.0, 404.0], [75.0, 400.0]], ('code on this receipt for dining', 0.9497599601745605)], [[[95.0, 398.0], [218.0, 401.0], [218.0, 415.0], [95.0, 412.0]], ('room & take-out orders', 0.9361196160316467)], [[[79.0, 409.0], [238.0, 412.0], [238.0, 426.0], [79.0, 423.0]], ('Must provide survey validation', 0.9617571234703064)], [[[78.0, 420.0], [238.0, 424.0], [238.0, 438.0], [78.0, 434.0]], ('code for phone & cnline orders', 0.9320880174636841)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "Oct21'15", "time": "01:29PM", "subtotal": "26.46", "tax": "3.44", "total": "29.90 $29.90", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CAESAR", "item_value": "6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SOUP", "item_value": "6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CHKSOUPCUP", "item_value": "10.49", "item_quantity": "1"}, {"item_key": "", "item_name": "GREENTEA", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KEDSCHOCMILK", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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	[[[[154.0, 0.0], [230.0, 0.0], [229.0, 16.0], [153.0, 14.0]], ('ICSJ0', 0.512776792049408)], [[[49.0, 11.0], [103.0, 15.0], [102.0, 29.0], [48.0, 24.0]], ('FORT LEE', 0.9365526437759399)], [[[50.0, 24.0], [187.0, 38.0], [186.0, 52.0], [49.0, 38.0]], ('112 Linwood Plaza #130', 0.9062201976776123)], [[[47.0, 38.0], [129.0, 47.0], [128.0, 61.0], [46.0, 52.0]], ('Fort Lee.NJ', 0.9113069772720337)], [[[54.0, 54.0], [205.0, 66.0], [204.0, 79.0], [53.0, 68.0]], ('Telephone:201-461-2870', 0.9309646487236023)], [[[47.0, 67.0], [146.0, 76.0], [145.0, 89.0], [46.0, 81.0]], ('POS:01-03293094', 0.9635794162750244)], [[[196.0, 77.0], [299.0, 73.0], [300.0, 87.0], [196.0, 91.0]], ('10/02/201615:39', 0.9717952609062195)], [[[45.0, 97.0], [138.0, 103.0], [137.0, 117.0], [44.0, 110.0]], ('Cappuccino (S)', 0.9236994981765747)], [[[44.0, 110.0], [162.0, 118.0], [161.0, 134.0], [43.0, 126.0]], ('Cafe Amer icano (L', 0.8916763663291931)], [[[202.0, 107.0], [210.0, 107.0], [210.0, 118.0], [202.0, 118.0]], ('1', 0.5766949653625488)], [[[271.0, 103.0], [302.0, 103.0], [302.0, 117.0], [271.0, 117.0]], ('3.00', 0.9904646873474121)], [[[43.0, 126.0], [132.0, 131.0], [131.0, 145.0], [42.0, 140.0]], ('Redbean Bread', 0.944882333278656)], [[[201.0, 120.0], [209.0, 120.0], [209.0, 131.0], [201.0, 131.0]], ('i', 0.8058550953865051)], [[[270.0, 117.0], [302.0, 117.0], [302.0, 131.0], [270.0, 131.0]], ('2.95', 0.9938799738883972)], [[[43.0, 140.0], [183.0, 148.0], [182.0, 161.0], [42.0, 154.0]], ('Sweet Corn Cream Donut', 0.9407756924629211)], [[[201.0, 134.0], [209.0, 134.0], [209.0, 144.0], [201.0, 144.0]], ('1', 0.9626497626304626)], [[[271.0, 131.0], [302.0, 131.0], [302.0, 146.0], [271.0, 146.0]], ('1.95', 0.9887093305587769)], [[[201.0, 148.0], [209.0, 148.0], [209.0, 158.0], [201.0, 158.0]], ('1', 0.8666261434555054)], [[[270.0, 146.0], [302.0, 146.0], [302.0, 161.0], [270.0, 161.0]], ('2.00', 0.9950039982795715)], [[[42.0, 169.0], [144.0, 174.0], [143.0, 188.0], [41.0, 183.0]], ('SubTotal', 0.9942538738250732)], [[[245.0, 174.0], [301.0, 176.0], [300.0, 191.0], [244.0, 189.0]], ('066', 0.9712374806404114)], [[[43.0, 185.0], [107.0, 187.0], [106.0, 201.0], [42.0, 199.0]], ('Total', 0.9959689974784851)], [[[245.0, 188.0], [302.0, 190.0], [301.0, 207.0], [244.0, 204.0]], ('066', 0.9710422158241272)], [[[39.0, 214.0], [94.0, 217.0], [93.0, 232.0], [38.0, 229.0]], ('Cash', 0.9971053600311279)], [[[244.0, 218.0], [303.0, 222.0], [302.0, 239.0], [243.0, 235.0]], ('066', 0.9775419235229492)], [[[35.0, 244.0], [145.0, 247.0], [144.0, 264.0], [34.0, 261.0]], ('Received', 0.9906438589096069)], [[[232.0, 250.0], [304.0, 253.0], [303.0, 270.0], [231.0, 267.0]], ('20.00', 0.9963885545730591)], [[[35.0, 262.0], [117.0, 265.0], [116.0, 279.0], [34.0, 276.0]], ('Change', 0.9969870448112488)], [[[234.0, 266.0], [305.0, 270.0], [304.0, 287.0], [233.0, 282.0]], ('10.10', 0.9957475662231445)], [[[32.0, 309.0], [159.0, 309.0], [159.0, 323.0], [32.0, 323.0]], ('All sales are Fina', 0.8812128901481628)]]	{"store_name": "FORTLEE", "store_addr": "FortLee.NJ 112LinwoodPlaza#130", "telephone": "201-461-2070", "date": "10/02/2016", "time": "15:39", "subtotal": "9.90", "tax": "", "total": "9.90 9.90", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SweetCornCreamDonut", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RedbeanBread", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CafOAmerican(L)", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Cappuccino(S)", "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	[[[[99.0, 31.0], [197.0, 33.0], [197.0, 47.0], [99.0, 45.0]], ('Anantara Chiang Hai', 0.8259298205375671)], [[[70.0, 41.0], [228.0, 45.0], [227.0, 59.0], [70.0, 55.0]], ('Pacfic Hotel Chiang nai Co.Lts.', 0.8453879952430725)], [[[79.0, 52.0], [221.0, 57.0], [221.0, 71.0], [79.0, 66.0]], ('123-123/1 Charoen Prathet R', 0.9052216410636902)], [[[121.0, 88.0], [183.0, 88.0], [183.0, 102.0], [121.0, 102.0]], ('Service 1921', 0.951483964920044)], [[[51.0, 109.0], [119.0, 112.0], [119.0, 126.0], [51.0, 123.0]], ('213Chananut', 0.9766378998756409)], [[[46.0, 135.0], [87.0, 135.0], [87.0, 149.0], [46.0, 149.0]], ('Ib15/1', 0.7426013946533203)], [[[131.0, 137.0], [177.0, 137.0], [177.0, 148.0], [131.0, 148.0]], ('Chk9815', 0.970474898815155)], [[[223.0, 135.0], [259.0, 135.0], [259.0, 149.0], [223.0, 149.0]], ('6st 2', 0.7627814412117004)], [[[115.0, 148.0], [193.0, 148.0], [193.0, 161.0], [115.0, 161.0]], ('143an18 18:00', 0.8884142637252808)], [[[66.0, 173.0], [133.0, 175.0], [132.0, 186.0], [65.0, 184.0]], ('Dinner', 0.983231246471405)], [[[53.0, 185.0], [155.0, 185.0], [155.0, 198.0], [53.0, 198.0]], ('1 ACQUA PANNA 75CL', 0.8859571814537048)], [[[212.0, 183.0], [249.0, 183.0], [249.0, 197.0], [212.0, 197.0]], ('250.00', 0.9504480957984924)], [[[51.0, 199.0], [107.0, 199.0], [107.0, 210.0], [51.0, 210.0]], ('1 SAH ROD', 0.8275163173675537)], [[[214.0, 197.0], [250.0, 197.0], [250.0, 208.0], [214.0, 208.0]], ('328-00', 0.8888754844665527)], [[[48.0, 209.0], [159.0, 208.0], [159.0, 225.0], [48.0, 226.0]], (' Gaeng Kewaan Ped', 0.8950176239013672)], [[[215.0, 208.0], [253.0, 208.0], [253.0, 222.0], [215.0, 222.0]], ('320.00', 0.9818182587623596)], [[[47.0, 223.0], [124.0, 222.0], [124.0, 236.0], [47.0, 237.0]], ('1 ICE CREAMS', 0.88418048620224)], [[[223.0, 222.0], [254.0, 222.0], [254.0, 233.0], [223.0, 233.0]], ('88.00', 0.9860313534736633)], [[[59.0, 252.0], [109.0, 252.0], [109.0, 263.0], [59.0, 263.0]], ('Subtotal', 0.9813821315765381)], [[[221.0, 247.0], [260.0, 247.0], [260.0, 261.0], [221.0, 261.0]], ('986.00', 0.9783992171287537)], [[[55.0, 266.0], [127.0, 263.0], [128.0, 277.0], [55.0, 280.0]], ('Service 10%', 0.9547895789146423)], [[[228.0, 261.0], [263.0, 261.0], [263.0, 275.0], [228.0, 275.0]], ('98.60', 0.9722304344177246)], [[[66.0, 280.0], [166.0, 278.0], [166.0, 292.0], [66.0, 294.0]], ('1084.60VAT7%', 0.9110909104347229)], [[[230.0, 276.0], [265.0, 276.0], [265.0, 291.0], [230.0, 291.0]], ('75.92', 0.980147659778595)], [[[25.0, 297.0], [126.0, 294.0], [127.0, 308.0], [25.0, 312.0]], ('19:28 Total Due', 0.8732250928878784)], [[[179.0, 292.0], [265.0, 292.0], [265.0, 306.0], [179.0, 306.0]], ('1160.52', 0.9722098112106323)], [[[50.0, 330.0], [113.0, 330.0], [113.0, 345.0], [50.0, 345.0]], ('GRATUITY:', 0.9894106388092041)], [[[43.0, 368.0], [132.0, 364.0], [133.0, 382.0], [44.0, 385.0]], ('GRAND TOTAL:', 0.9202564358711243)], [[[43.0, 407.0], [133.0, 405.0], [134.0, 426.0], [44.0, 428.0]], ('ROOMNUMBER:', 0.8429293036460876)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "14Jan'18", "time": "19:28", "subtotal": "986.00", "tax": "75.92", "total": "1160.52", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ACQUAPANNA75CL", "item_value": "250.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SAHROD", "item_value": "328.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GaengKewaanPed", "item_value": "320.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ICECREAMS", "item_value": "88.00", "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	[[[[77.0, 3.0], [238.0, 0.0], [239.0, 23.0], [78.0, 27.0]], ('WASABI RESTAURAN', 0.9774950742721558)], [[[82.0, 30.0], [232.0, 24.0], [233.0, 41.0], [83.0, 47.0]], ('ZEN AYRIS S.n.C', 0.9098908305168152)], [[[35.0, 47.0], [291.0, 37.0], [291.0, 57.0], [36.0, 68.0]], ('VIA PONTE VETERO 14 MILANO', 0.9362472295761108)], [[[64.0, 66.0], [260.0, 57.0], [261.0, 74.0], [65.0, 84.0]], ('TELEF0NO 02/72008297', 0.94610595703125)], [[[49.0, 83.0], [276.0, 74.0], [277.0, 92.0], [49.0, 102.0]], ('PARTITA IVA 05162500960', 0.9592714905738831)], [[[64.0, 101.0], [260.0, 92.0], [261.0, 110.0], [65.0, 119.0]], ('GRAZIE E ARRIVEDERCI', 0.970630943775177)], [[[275.0, 131.0], [317.0, 131.0], [317.0, 149.0], [275.0, 149.0]], ('EURO', 0.9912319779396057)], [[[3.0, 155.0], [126.0, 153.0], [126.0, 170.0], [3.0, 172.0]], ('UDON VERDURE', 0.9592528343200684)], [[[276.0, 151.0], [316.0, 151.0], [316.0, 166.0], [276.0, 166.0]], ('7,00', 0.8811026811599731)], [[[3.0, 174.0], [165.0, 171.0], [166.0, 185.0], [3.0, 188.0]], ('RAVIOLI GAMBERONI', 0.964759349822998)], [[[275.0, 167.0], [316.0, 167.0], [316.0, 185.0], [275.0, 185.0]], ('7.00', 0.8724231719970703)], [[[3.0, 190.0], [195.0, 186.0], [195.0, 203.0], [3.0, 207.0]], ('URAMAKI WASABI-STYLE', 0.969720184803009)], [[[268.0, 184.0], [316.0, 186.0], [315.0, 204.0], [267.0, 202.0]], ('12,00', 0.9376233220100403)], [[[6.0, 207.0], [197.0, 204.0], [197.0, 220.0], [6.0, 223.0]], ('URAMAKI WASABI MISTO', 0.9551423788070679)], [[[269.0, 202.0], [317.0, 204.0], [316.0, 222.0], [268.0, 220.0]], ('15.00', 0.9349431991577148)], [[[5.0, 224.0], [109.0, 223.0], [109.0, 238.0], [5.0, 239.0]], ('BIRRA ASAHI', 0.9816434383392334)], [[[280.0, 222.0], [319.0, 222.0], [319.0, 237.0], [280.0, 237.0]], ("00'9", 0.8686012029647827)], [[[4.0, 242.0], [176.0, 240.0], [176.0, 254.0], [4.0, 256.0]], ('CHASOBA VE-GAMBERI', 0.9756020307540894)], [[[279.0, 238.0], [320.0, 238.0], [320.0, 256.0], [279.0, 256.0]], ('9,00', 0.8813340663909912)], [[[6.0, 259.0], [111.0, 259.0], [111.0, 273.0], [6.0, 273.0]], ('2XCOPERTO', 0.9644776582717896)], [[[277.0, 256.0], [318.0, 254.0], [319.0, 272.0], [278.0, 275.0]], ('4,00', 0.8595080375671387)], [[[6.0, 275.0], [94.0, 275.0], [94.0, 292.0], [6.0, 292.0]], ('MACEDONIA', 0.9953340888023376)], [[[277.0, 274.0], [318.0, 272.0], [319.0, 291.0], [278.0, 294.0]], ('5,00', 0.8923185467720032)], [[[8.0, 295.0], [111.0, 295.0], [111.0, 319.0], [8.0, 319.0]], ('TOTALE EURO', 0.9692258238792419)], [[[267.0, 292.0], [321.0, 292.0], [321.0, 322.0], [267.0, 322.0]], ('65,00', 0.933476448059082)], [[[8.0, 323.0], [82.0, 323.0], [82.0, 341.0], [8.0, 341.0]], ('CONTANTE', 0.9975990653038025)], [[[268.0, 325.0], [318.0, 320.0], [319.0, 338.0], [269.0, 343.0]], ('65.00', 0.9126391410827637)], [[[7.0, 341.0], [58.0, 341.0], [58.0, 358.0], [7.0, 358.0]], ('RESTO', 0.9981046915054321)], [[[277.0, 342.0], [318.0, 338.0], [319.0, 357.0], [279.0, 361.0]], ('0,00', 0.91957688331604)], [[[7.0, 358.0], [94.0, 358.0], [94.0, 375.0], [7.0, 375.0]], ('S.F.11223', 0.9783843159675598)], [[[7.0, 374.0], [200.0, 379.0], [200.0, 396.0], [7.0, 391.0]], ('CAMERIERE AMMINISTRA', 0.9868115186691284)], [[[9.0, 390.0], [94.0, 393.0], [93.0, 410.0], [8.0, 407.0]], ('TAVOL011', 0.9623042345046997)], [[[9.0, 408.0], [143.0, 412.0], [142.0, 429.0], [8.0, 425.0]], ('19/04/1322:54', 0.9648671746253967)], [[[238.0, 413.0], [317.0, 407.0], [318.0, 426.0], [239.0, 431.0]], ('SF0151', 0.9830269813537598)], [[[104.0, 428.0], [239.0, 431.0], [239.0, 448.0], [103.0, 445.0]], ('MKU96026805', 0.9515814185142517)]]	{"store_name": "", "store_addr": "VIAPONTEVETERO14MILANO", "telephone": "TELEFONO02/72008297", "date": "19/04/13", "time": "22:54", "subtotal": "", "tax": "", "total": "65,00 65,00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "UDONVERDURE", "item_value": "7,00", "item_quantity": "1"}, {"item_key": "", "item_name": "RAVIOLIGAMBERONI", "item_value": "7,00", "item_quantity": "1"}, {"item_key": "", "item_name": "URAMAKIWASABI-STYLE", "item_value": "12,00", "item_quantity": "1"}, {"item_key": "", "item_name": "URAMAKIWASABIMISTO", "item_value": "15,00", "item_quantity": "1"}, {"item_key": "", "item_name": "BIRRAASAHI", "item_value": "6,00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHASOBAVE-GAMBERI", "item_value": "9,00", "item_quantity": "1"}, {"item_key": "", "item_name": "2XCOPERTO", "item_value": "4,00", "item_quantity": "1"}, {"item_key": "", "item_name": "MACEDONIA", "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	[[[[53.0, 66.0], [286.0, 60.0], [287.0, 83.0], [54.0, 89.0]], ('Subway#24037-0 Phone 303-841-7917', 0.9656762480735779)], [[[73.0, 85.0], [263.0, 80.0], [263.0, 101.0], [74.0, 106.0]], ('13097 S.Parker Rd.Unit B', 0.9587254524230957)], [[[111.0, 104.0], [232.0, 99.0], [233.0, 116.0], [112.0, 121.0]], ('Parker,CO80134', 0.9270281791687012)], [[[41.0, 119.0], [303.0, 112.0], [304.0, 132.0], [42.0, 140.0]], ('Served by:meagan 2/4/2017 1:34:58 pm', 0.9275268912315369)], [[[88.0, 136.0], [256.0, 132.0], [256.0, 149.0], [88.0, 152.0]], ('Term ID-Trans#1/A-98386', 0.9605959057807922)], [[[20.0, 169.0], [117.0, 169.0], [117.0, 186.0], [20.0, 186.0]], ('Qty Size Item', 0.9385974407196045)], [[[266.0, 164.0], [308.0, 164.0], [308.0, 182.0], [266.0, 182.0]], ('Price', 0.9978958964347839)], [[[61.0, 202.0], [207.0, 200.0], [208.0, 216.0], [61.0, 219.0]], ('6Spicy Italian Sub', 0.9384691715240479)], [[[275.0, 197.0], [310.0, 197.0], [310.0, 215.0], [275.0, 215.0]], ('4.25', 0.9941491484642029)], [[[34.0, 222.0], [46.0, 222.0], [46.0, 235.0], [34.0, 235.0]], ('1', 0.9623125195503235)], [[[60.0, 220.0], [173.0, 218.0], [173.0, 235.0], [60.0, 236.0]], ('6Meatba11 Sub', 0.9026080369949341)], [[[277.0, 215.0], [312.0, 215.0], [312.0, 233.0], [277.0, 233.0]], ('4.25', 0.9935483932495117)], [[[15.0, 255.0], [84.0, 255.0], [84.0, 273.0], [15.0, 273.0]], ('Sub Total', 0.925896942615509)], [[[279.0, 252.0], [315.0, 252.0], [315.0, 270.0], [279.0, 270.0]], ('8.50', 0.9962224364280701)], [[[14.0, 276.0], [121.0, 273.0], [122.0, 291.0], [14.0, 294.0]], ('sales tax 8%', 0.9200919270515442)], [[[280.0, 271.0], [316.0, 271.0], [316.0, 290.0], [280.0, 290.0]], ('0.68', 0.994001030921936)], [[[14.0, 296.0], [122.0, 292.0], [123.0, 309.0], [14.0, 313.0]], ('Total Eat In', 0.9292661547660828)], [[[282.0, 288.0], [319.0, 291.0], [317.0, 310.0], [280.0, 307.0]], ('9.18', 0.9950178861618042)], [[[11.0, 315.0], [101.0, 311.0], [102.0, 331.0], [11.0, 334.0]], ('Credit Card', 0.9832056164741516)], [[[283.0, 308.0], [320.0, 311.0], [318.0, 330.0], [281.0, 327.0]], ('9.18', 0.9944314956665039)], [[[12.0, 334.0], [62.0, 336.0], [61.0, 347.0], [12.0, 347.0]], ('Change', 0.9877713322639465)], [[[284.0, 329.0], [321.0, 329.0], [321.0, 347.0], [284.0, 347.0]], ('0.00', 0.9956635236740112)]]	{"store_name": "Subway#24037-0", "store_addr": "13097S,ParkerRd.UnitB Parker,CO,80134", "telephone": "303-841-7917", "date": "2/4/2017", "time": "1:34:58pm", "subtotal": "8.50", "tax": "0.68", "total": "9.18 9.18", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "6\"SpicyItalianSub", "item_value": "4.25", "item_quantity": "1"}, {"item_key": "", "item_name": "6\"MeatballSub", "item_value": "4.25", "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	[[[[103.0, 128.0], [220.0, 128.0], [220.0, 141.0], [103.0, 141.0]], ('FINE INDIAN CUISINE', 0.9674412608146667)], [[[133.0, 119.0], [192.0, 119.0], [192.0, 130.0], [133.0, 130.0]], ('GANESH', 0.9975287318229675)], [[[65.0, 150.0], [254.0, 152.0], [253.0, 169.0], [65.0, 167.0]], ('24 Tran Hung Dao St Hol An Old Town', 0.9304325580596924)], [[[69.0, 141.0], [254.0, 141.0], [254.0, 154.0], [69.0, 154.0]], ('CN HOI AN, CONG TY TNHH GANESH', 0.9048141241073608)], [[[116.0, 165.0], [207.0, 165.0], [207.0, 178.0], [116.0, 178.0]], ('Tel05103864538', 0.9784281849861145)], [[[125.0, 179.0], [199.0, 179.0], [199.0, 191.0], [125.0, 191.0]], ('ww.ganesh.vn', 0.9321103692054749)], [[[98.0, 190.0], [225.0, 190.0], [225.0, 203.0], [98.0, 203.0]], ('[email protected]', 0.9697323441505432)], [[[57.0, 212.0], [108.0, 214.0], [107.0, 228.0], [56.0, 226.0]], ('Tabie4A', 0.9066444039344788)], [[[224.0, 214.0], [266.0, 214.0], [266.0, 228.0], [224.0, 228.0]], ('8.42PM', 0.9325637221336365)], [[[58.0, 227.0], [108.0, 227.0], [108.0, 238.0], [58.0, 238.0]], ('BillD33', 0.8644412159919739)], [[[59.0, 240.0], [124.0, 240.0], [124.0, 251.0], [59.0, 251.0]], ('Date.14/9/15', 0.979518711566925)], [[[57.0, 255.0], [80.0, 258.0], [78.0, 273.0], [55.0, 270.0]], ('Q.ty', 0.9219446778297424)], [[[168.0, 257.0], [198.0, 257.0], [198.0, 271.0], [168.0, 271.0]], ('Price', 0.9983159303665161)], [[[237.0, 255.0], [267.0, 259.0], [265.0, 274.0], [235.0, 270.0]], ('Total', 0.9976102709770203)], [[[77.0, 270.0], [115.0, 272.0], [114.0, 287.0], [77.0, 284.0]], ('Saigon', 0.9944408535957336)], [[[170.0, 273.0], [204.0, 273.0], [204.0, 284.0], [170.0, 284.0]], ('22.000', 0.9397935271263123)], [[[232.0, 272.0], [267.0, 272.0], [267.0, 286.0], [232.0, 286.0]], ('22,000', 0.9531490206718445)], [[[61.0, 287.0], [68.0, 287.0], [68.0, 294.0], [61.0, 294.0]], ('1', 0.9132541418075562)], [[[78.0, 284.0], [134.0, 286.0], [133.0, 297.0], [78.0, 295.0]], ('Garlic.Naan', 0.8678131103515625)], [[[169.0, 285.0], [205.0, 285.0], [205.0, 299.0], [169.0, 299.0]], ('39,000', 0.9577226638793945)], [[[231.0, 284.0], [268.0, 287.0], [267.0, 302.0], [230.0, 299.0]], ('39,000', 0.9539967179298401)], [[[60.0, 300.0], [68.0, 300.0], [68.0, 308.0], [60.0, 308.0]], ('1', 0.8276935815811157)], [[[77.0, 297.0], [155.0, 298.0], [154.0, 312.0], [77.0, 311.0]], ('Vietnammese S', 0.9531154632568359)], [[[168.0, 298.0], [205.0, 298.0], [205.0, 312.0], [168.0, 312.0]], ('12,000', 0.9335100650787354)], [[[232.0, 297.0], [268.0, 300.0], [267.0, 315.0], [231.0, 312.0]], ('12,000', 0.9244356751441956)], [[[78.0, 310.0], [101.0, 313.0], [100.0, 324.0], [76.0, 321.0]], ('Rice', 0.9977859854698181)], [[[76.0, 322.0], [151.0, 323.0], [151.0, 338.0], [76.0, 336.0]], ('Chicken Korma', 0.9437932968139648)], [[[169.0, 323.0], [210.0, 323.0], [210.0, 338.0], [169.0, 338.0]], ('105,000', 0.9734295606613159)], [[[226.0, 323.0], [269.0, 326.0], [268.0, 340.0], [225.0, 337.0]], ('105,000', 0.9519017338752747)], [[[75.0, 335.0], [205.0, 338.0], [204.0, 352.0], [75.0, 349.0]], ('Chicken T.Masala 99,000', 0.9032228589057922)], [[[231.0, 337.0], [269.0, 340.0], [268.0, 354.0], [230.0, 351.0]], ('99.000', 0.9433552622795105)], [[[74.0, 349.0], [130.0, 352.0], [129.0, 366.0], [74.0, 363.0]], ('Plain Naan', 0.9482048749923706)], [[[168.0, 352.0], [205.0, 352.0], [205.0, 366.0], [168.0, 366.0]], ('32,000', 0.9581868648529053)], [[[232.0, 353.0], [269.0, 353.0], [269.0, 368.0], [232.0, 368.0]], ('32,000', 0.9654848575592041)], [[[55.0, 419.0], [107.0, 421.0], [106.0, 436.0], [55.0, 434.0]], ('TOTAL:', 0.9885715842247009)], [[[215.0, 423.0], [267.0, 425.0], [267.0, 440.0], [214.0, 438.0]], ('309,000', 0.9726190567016602)]]	{"store_name": "FINEINDIANCUISINE GANESH", "store_addr": "24TranHungDaoSt,HoiAnOldTown", "telephone": "05103864538", "date": "14/9/15", "time": "6:42PM", "subtotal": "", "tax": "", "total": "309,000", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PlainNaan", "item_value": "32,000", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenT,Masala", "item_value": "99,000", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenKorma", "item_value": "105,000", "item_quantity": "1"}, {"item_key": "", "item_name": "Rice", "item_value": "12,000", "item_quantity": "1"}, {"item_key": "", "item_name": "VietnameseS", "item_value": "39,000", "item_quantity": "1"}, {"item_key": "", "item_name": "GarlicNaan", "item_value": "22,000", "item_quantity": "1"}, {"item_key": "", "item_name": "Saigon", "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	[[[[199.0, 103.0], [329.0, 103.0], [329.0, 130.0], [199.0, 130.0]], ('Bomba', 0.9964539408683777)], [[[187.0, 138.0], [370.0, 133.0], [370.0, 160.0], [188.0, 165.0]], ('38 Martin Road', 0.9459285140037537)], [[[175.0, 170.0], [384.0, 166.0], [384.0, 193.0], [176.0, 197.0]], ('Singapore 239059', 0.9755171537399292)], [[[189.0, 202.0], [373.0, 198.0], [373.0, 225.0], [190.0, 229.0]], ('Tel:6509 1680', 0.9063901305198669)], [[[87.0, 269.0], [231.0, 266.0], [232.0, 294.0], [87.0, 297.0]], ('805 Royston', 0.9748020172119141)], [[[234.0, 329.0], [338.0, 326.0], [339.0, 353.0], [234.0, 356.0]], ('Chk 7048', 0.9481090307235718)], [[[412.0, 323.0], [457.0, 323.0], [457.0, 351.0], [412.0, 351.0]], ('Gst', 0.9931427836418152)], [[[475.0, 322.0], [494.0, 322.0], [494.0, 348.0], [475.0, 348.0]], ('Z', 0.5282929539680481)], [[[76.0, 333.0], [170.0, 331.0], [171.0, 360.0], [76.0, 362.0]], ('Tb1 1/1', 0.8982100486755371)], [[[196.0, 363.0], [377.0, 357.0], [378.0, 384.0], [197.0, 390.0]], ("05Dec'1220:12", 0.9485307931900024)], [[[376.0, 418.0], [457.0, 416.0], [458.0, 444.0], [377.0, 446.0]], ('100.00', 0.9966641068458557)], [[[109.0, 429.0], [275.0, 424.0], [276.0, 449.0], [110.0, 454.0]], ('1 Sila Mencia', 0.9270538687705994)], [[[403.0, 447.0], [460.0, 447.0], [460.0, 473.0], [403.0, 473.0]], ('9.00', 0.9958880543708801)], [[[109.0, 459.0], [314.0, 452.0], [315.0, 475.0], [110.0, 482.0]], ('1 Pan Con Tomate', 0.9483209848403931)], [[[395.0, 477.0], [463.0, 475.0], [464.0, 501.0], [396.0, 503.0]], ('17.00', 0.9956720471382141)], [[[104.0, 489.0], [302.0, 480.0], [303.0, 505.0], [105.0, 514.0]], ('1 Gambas Ajillo', 0.8537310361862183)], [[[409.0, 506.0], [470.0, 506.0], [470.0, 535.0], [409.0, 535.0]], ('8.00', 0.9976090788841248)], [[[102.0, 520.0], [316.0, 512.0], [317.0, 539.0], [103.0, 547.0]], ('1 Patatas Bravos', 0.9588728547096252)], [[[398.0, 541.0], [473.0, 539.0], [474.0, 568.0], [399.0, 570.0]], ('22.00', 0.9962571859359741)], [[[100.0, 554.0], [304.0, 546.0], [305.0, 573.0], [101.0, 581.0]], ('1 King Scallops', 0.8777475953102112)], [[[401.0, 575.0], [476.0, 573.0], [477.0, 603.0], [402.0, 605.0]], ('65.00', 0.9968937039375305)], [[[99.0, 588.0], [332.0, 580.0], [333.0, 608.0], [100.0, 616.0]], ('1Pael1a ValenL', 0.9025760889053345)], [[[392.0, 648.0], [483.0, 645.0], [484.0, 677.0], [394.0, 680.0]], ('221.00', 0.9970149993896484)], [[[122.0, 659.0], [238.0, 654.0], [239.0, 686.0], [123.0, 691.0]], ('Subtotal', 0.9927741289138794)], [[[409.0, 684.0], [484.0, 681.0], [486.0, 714.0], [411.0, 717.0]], ('15.47', 0.996612548828125)], [[[122.0, 694.0], [211.0, 692.0], [211.0, 724.0], [123.0, 726.0]], ('7%GST', 0.9945634007453918)], [[[122.0, 731.0], [197.0, 728.0], [199.0, 760.0], [124.0, 763.0]], ('Total', 0.9930446743965149)], [[[311.0, 725.0], [482.0, 717.0], [484.0, 748.0], [313.0, 756.0]], ('236.45', 0.9847901463508606)]]	{"store_name": "Bomba", "store_addr": "38MartinRoad Singapore239059", "telephone": "65091680", "date": "05Dec'12", "time": "20:12", "subtotal": "221.00", "tax": "15.47", "total": "236.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SilaMencia", "item_value": "100.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PanConTomate", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GambasAjillo", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PatatasBravos", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KingScallops", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PaellaValen(L)", "item_value": "65.00", "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, 1.0], [111.0, 1.0], [111.0, 12.0], [89.0, 12.0]], ('X-3', 0.656413733959198)], [[[85.0, 39.0], [271.0, 33.0], [271.0, 50.0], [86.0, 55.0]], ('STA99A >>TKT', 0.8893846869468689)], [[[295.0, 36.0], [332.0, 36.0], [332.0, 50.0], [295.0, 50.0]], ('488', 0.9931629300117493)], [[[153.0, 85.0], [242.0, 83.0], [242.0, 101.0], [153.0, 103.0]], ('CLASSIC', 0.9928475618362427)], [[[300.0, 78.0], [333.0, 80.0], [331.0, 100.0], [298.0, 97.0]], ('2.69', 0.965862512588501)], [[[97.0, 88.0], [111.0, 88.0], [111.0, 103.0], [97.0, 103.0]], ('1', 0.979458212852478)], [[[98.0, 121.0], [111.0, 121.0], [111.0, 136.0], [98.0, 136.0]], ('1', 0.976367175579071)], [[[152.0, 118.0], [193.0, 118.0], [193.0, 136.0], [152.0, 136.0]], ('FRY', 0.9949858784675598)], [[[302.0, 112.0], [333.0, 112.0], [333.0, 131.0], [302.0, 131.0]], ('1.69', 0.9864097237586975)], [[[95.0, 153.0], [112.0, 153.0], [112.0, 171.0], [95.0, 171.0]], ('1', 0.9827013611793518)], [[[154.0, 152.0], [206.0, 152.0], [206.0, 170.0], [154.0, 170.0]], ('COKE', 0.9979185461997986)], [[[303.0, 145.0], [334.0, 145.0], [334.0, 165.0], [303.0, 165.0]], ('1.59', 0.9949744343757629)], [[[216.0, 201.0], [245.0, 201.0], [245.0, 220.0], [216.0, 220.0]], ('ST', 0.9906788468360901)], [[[303.0, 196.0], [336.0, 196.0], [336.0, 215.0], [303.0, 215.0]], ('5.97', 0.993188738822937)], [[[216.0, 218.0], [245.0, 218.0], [245.0, 237.0], [216.0, 237.0]], ('TX', 0.9944641590118408)], [[[314.0, 214.0], [336.0, 214.0], [336.0, 232.0], [314.0, 232.0]], ('.49', 0.9607587456703186)], [[[85.0, 256.0], [147.0, 256.0], [147.0, 273.0], [85.0, 273.0]], ('TOTAL', 0.9982874989509583)], [[[285.0, 248.0], [343.0, 245.0], [344.0, 266.0], [286.0, 269.0]], ('6.46', 0.9498530030250549)], [[[85.0, 309.0], [152.0, 309.0], [152.0, 326.0], [85.0, 326.0]], ('TRAY#', 0.9273909330368042)], [[[144.0, 307.0], [202.0, 307.0], [202.0, 324.0], [144.0, 324.0]], ('1', 0.5110439658164978)], [[[209.0, 305.0], [264.0, 305.0], [264.0, 323.0], [209.0, 323.0]], ('CTND', 0.9808489084243774)], [[[302.0, 302.0], [345.0, 302.0], [345.0, 321.0], [302.0, 321.0]], ('.54', 0.9938960075378418)], [[[81.0, 361.0], [291.0, 357.0], [291.0, 374.0], [82.0, 378.0]], ('FREE HARRY HINES', 0.9468634128570557)], [[[80.0, 380.0], [344.0, 376.0], [345.0, 393.0], [81.0, 397.0]], ('HOOKER WITH PURCHASE', 0.9569894671440125)], [[[80.0, 398.0], [277.0, 396.0], [277.0, 412.0], [80.0, 415.0]], ('OF SONIC BURGER', 0.9396489858627319)], [[[79.0, 416.0], [306.0, 414.0], [306.0, 431.0], [79.0, 433.0]], ('COMPLIMENTARY BJS', 0.9668488502502441)], [[[78.0, 435.0], [238.0, 434.0], [238.0, 451.0], [78.0, 452.0]], ('AND RIM JOBS', 0.9245753288269043)], [[[77.0, 454.0], [315.0, 453.0], [315.0, 470.0], [77.0, 471.0]], ('WITH THIS RECEIPT.', 0.9403261542320251)], [[[78.0, 474.0], [280.0, 473.0], [280.0, 489.0], [78.0, 490.0]], ('TELLTHEMGRAND', 0.9841006994247437)], [[[75.0, 493.0], [334.0, 490.0], [335.0, 507.0], [75.0, 510.0]], ('MASTER PIMP SENT YA', 0.9333438873291016)], [[[76.0, 512.0], [239.0, 512.0], [239.0, 529.0], [76.0, 529.0]], ('DISEASE FREE', 0.9591080546379089)], [[[75.0, 531.0], [239.0, 531.0], [239.0, 548.0], [75.0, 548.0]], ('NO CRAB ZONE', 0.9471158981323242)], [[[77.0, 565.0], [193.0, 565.0], [193.0, 582.0], [77.0, 582.0]], ('10375412070488', 0.9130902886390686)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "5.97", "tax": ".49", "total": "6.46", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CLASSIC", "item_value": "2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "FRY", "item_value": "1.69", "item_quantity": "1"}, {"item_key": "", "item_name": "COKE", "item_value": "1.59", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[127.0, 57.0], [226.0, 56.0], [226.0, 74.0], [127.0, 75.0]], ('PhoenixAZ', 0.981195867061615)], [[[92.0, 108.0], [271.0, 108.0], [271.0, 125.0], [92.0, 125.0]], ('Member# 319242557011', 0.9655672311782837)], [[[91.0, 125.0], [175.0, 128.0], [174.0, 144.0], [91.0, 141.0]], ('Invoice #', 0.947912335395813)], [[[224.0, 126.0], [271.0, 126.0], [271.0, 141.0], [224.0, 141.0]], ('21201', 0.9981756210327148)], [[[92.0, 145.0], [131.0, 145.0], [131.0, 160.0], [92.0, 160.0]], ('Date', 0.9979533553123474)], [[[199.0, 143.0], [272.0, 143.0], [272.0, 160.0], [199.0, 160.0]], ('05/06/11', 0.9862874150276184)], [[[92.0, 161.0], [132.0, 161.0], [132.0, 179.0], [92.0, 179.0]], ('Time', 0.9902330636978149)], [[[222.0, 160.0], [272.0, 158.0], [273.0, 176.0], [223.0, 178.0]], ('19:34', 0.9470626711845398)], [[[91.0, 180.0], [150.0, 180.0], [150.0, 197.0], [91.0, 197.0]], ('Auth #', 0.8982673287391663)], [[[215.0, 178.0], [274.0, 178.0], [274.0, 195.0], [215.0, 195.0]], ('543254', 0.9930710792541504)], [[[92.0, 218.0], [175.0, 216.0], [175.0, 231.0], [92.0, 233.0]], ('AX Acct#', 0.9099894762039185)], [[[92.0, 235.0], [227.0, 232.0], [227.0, 248.0], [92.0, 251.0]], ('80-XXXXXXXXXXX', 0.7449912428855896)], [[[92.0, 271.0], [135.0, 273.0], [134.0, 287.0], [91.0, 285.0]], ('Pump', 0.8754202723503113)], [[[146.0, 270.0], [226.0, 270.0], [226.0, 284.0], [146.0, 284.0]], ('Gallons', 0.9928306937217712)], [[[224.0, 270.0], [272.0, 270.0], [272.0, 284.0], [224.0, 284.0]], ('Price', 0.9984689950942993)], [[[101.0, 289.0], [127.0, 289.0], [127.0, 304.0], [101.0, 304.0]], ('14', 0.9960176944732666)], [[[145.0, 286.0], [272.0, 286.0], [272.0, 303.0], [145.0, 303.0]], ('7.855$3.659', 0.9808626174926758)], [[[93.0, 324.0], [159.0, 320.0], [160.0, 337.0], [94.0, 341.0]], ('Product', 0.9941593408584595)], [[[216.0, 321.0], [273.0, 321.0], [273.0, 338.0], [216.0, 338.0]], ('Amount', 0.9971528053283691)], [[[95.0, 343.0], [166.0, 338.0], [167.0, 353.0], [96.0, 358.0]], ('Unleaded', 0.9970191121101379)], [[[207.0, 337.0], [274.0, 339.0], [274.0, 356.0], [206.0, 354.0]], ('$28.74', 0.9282887578010559)], [[[96.0, 376.0], [183.0, 371.0], [184.0, 386.0], [97.0, 391.0]], ('Total Sale', 0.9729006886482239)], [[[206.0, 370.0], [273.0, 372.0], [273.0, 390.0], [205.0, 388.0]], ('$28.74', 0.9525518417358398)], [[[95.0, 405.0], [255.0, 402.0], [256.0, 423.0], [95.0, 426.0]], ('SALE-Card Suiped', 0.958533525466919)], [[[97.0, 426.0], [168.0, 422.0], [169.0, 436.0], [98.0, 440.0]], ('APPROUED', 0.935631275177002)]]	{"store_name": "", "store_addr": "279348Costco1058 4570EastCactusRd Phoenix,AZ", "telephone": "", "date": "05/06/11", "time": "19:34", "subtotal": "", "tax": "", "total": "$28.74", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Unleaded", "item_value": "$28.74", "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	[[[[180.0, 107.0], [203.0, 107.0], [203.0, 116.0], [180.0, 116.0]], ('0175', 0.9540702700614929)], [[[66.0, 123.0], [122.0, 125.0], [121.0, 140.0], [65.0, 137.0]], ('520R8102003', 0.607876181602478)], [[[141.0, 125.0], [204.0, 125.0], [204.0, 135.0], [141.0, 135.0]], ('REGESTEREE003', 0.6985563635826111)], [[[59.0, 170.0], [174.0, 171.0], [174.0, 182.0], [59.0, 181.0]], ('LEGMIL LIHLRG URLSILV', 0.7941136956214905)], [[[226.0, 169.0], [257.0, 172.0], [256.0, 184.0], [225.0, 181.0]], ('118.00', 0.9348161816596985)], [[[158.0, 184.0], [230.0, 184.0], [230.0, 195.0], [158.0, 195.0]], ('118:000', 0.6931011080741882)], [[[231.0, 193.0], [269.0, 197.0], [267.0, 218.0], [228.0, 214.0]], ('18.00', 0.5090049505233765)], [[[54.0, 212.0], [82.0, 215.0], [80.0, 227.0], [53.0, 225.0]], ('TOTAL', 0.9795514941215515)], [[[234.0, 211.0], [270.0, 211.0], [270.0, 226.0], [234.0, 226.0]], ('125.38', 0.9318037033081055)], [[[51.0, 229.0], [183.0, 235.0], [182.0, 252.0], [50.0, 247.0]], ('AMOUNTTENDERED', 0.8604254126548767)], [[[52.0, 246.0], [80.0, 246.0], [80.0, 256.0], [52.0, 256.0]], ('Cash', 0.9708949327468872)], [[[236.0, 243.0], [270.0, 243.0], [270.0, 254.0], [236.0, 254.0]], ('140.00', 0.9276092648506165)], [[[50.0, 253.0], [122.0, 251.0], [122.0, 265.0], [50.0, 268.0]], ('TOTAL PAYMENT', 0.9272709488868713)], [[[235.0, 253.0], [271.0, 253.0], [271.0, 265.0], [235.0, 265.0]], ('140.00', 0.9824373126029968)], [[[50.0, 267.0], [84.0, 267.0], [84.0, 278.0], [50.0, 278.0]], ('CHANGE', 0.9981012940406799)], [[[241.0, 261.0], [272.0, 264.0], [271.0, 275.0], [240.0, 273.0]], ('14.62', 0.9838476181030273)], [[[48.0, 284.0], [150.0, 284.0], [150.0, 298.0], [48.0, 298.0]], ('SALES TAX ANALYSIS', 0.9260473251342773)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "118.00 SUBTOTAL", "tax": "7.38 SALESTAX", "total": "125.38 TOTAL", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LEGMTLLTHLRGWRLSILV", "item_value": "118.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[319.0, 154.0], [548.0, 162.0], [546.0, 232.0], [316.0, 224.0]], ('Rroger', 0.9246004223823547)], [[[162.0, 317.0], [735.0, 305.0], [736.0, 356.0], [164.0, 369.0]], ('Right Store.Right Price.', 0.961280107498169)], [[[259.0, 417.0], [573.0, 410.0], [573.0, 432.0], [260.0, 439.0]], ('OUIN UUR ICM TODT', 0.5833711624145508)], [[[149.0, 577.0], [485.0, 573.0], [485.0, 607.0], [149.0, 610.0]], ('KROGER PLUS CUSTOMER', 0.9549677968025208)], [[[584.0, 570.0], [772.0, 574.0], [771.0, 607.0], [583.0, 603.0]], ('*****1543', 0.8679546117782593)], [[[266.0, 612.0], [449.0, 612.0], [449.0, 640.0], [266.0, 640.0]], ('GILLETTE BW', 0.9308439493179321)], [[[568.0, 610.0], [604.0, 610.0], [604.0, 638.0], [568.0, 638.0]], ('PC', 0.9950443506240845)], [[[666.0, 608.0], [771.0, 608.0], [771.0, 638.0], [666.0, 638.0]], ('0.00T', 0.9793283343315125)], [[[134.0, 645.0], [536.0, 642.0], [536.0, 672.0], [134.0, 675.0]], ('SC 3291 AUTOMATIC COUPON', 0.9060999751091003)], [[[566.0, 642.0], [637.0, 642.0], [637.0, 673.0], [566.0, 673.0]], ('4.49', 0.9933685064315796)], [[[264.0, 678.0], [385.0, 678.0], [385.0, 707.0], [264.0, 707.0]], ('GILLBW', 0.9803118109703064)], [[[566.0, 677.0], [607.0, 677.0], [607.0, 708.0], [566.0, 708.0]], ('PC', 0.9940803647041321)], [[[668.0, 675.0], [773.0, 675.0], [773.0, 705.0], [668.0, 705.0]], ('4.49T', 0.9821087718009949)], [[[264.0, 710.0], [383.0, 710.0], [383.0, 740.0], [264.0, 740.0]], ('GILI.BW', 0.8490089178085327)], [[[566.0, 708.0], [607.0, 708.0], [607.0, 740.0], [566.0, 740.0]], ('PC', 0.9934785962104797)], [[[668.0, 710.0], [773.0, 710.0], [773.0, 740.0], [668.0, 740.0]], ('0.00T', 0.9890646934509277)], [[[134.0, 745.0], [536.0, 745.0], [536.0, 773.0], [134.0, 773.0]], ('SC 3291 AUTDMATIC C0UPON', 0.8876132369041443)], [[[565.0, 743.0], [639.0, 743.0], [639.0, 775.0], [565.0, 775.0]], ('4.49', 0.9817540645599365)], [[[264.0, 778.0], [453.0, 778.0], [453.0, 807.0], [264.0, 807.0]], ('GILLETTE BW', 0.9357900619506836)], [[[566.0, 777.0], [607.0, 777.0], [607.0, 808.0], [566.0, 808.0]], ('PC', 0.99465012550354)], [[[668.0, 775.0], [773.0, 775.0], [773.0, 805.0], [668.0, 805.0]], ('4.49T', 0.9826256632804871)], [[[266.0, 810.0], [451.0, 810.0], [451.0, 838.0], [266.0, 838.0]], ('GILLETTE BW', 0.9275840520858765)], [[[566.0, 808.0], [607.0, 808.0], [607.0, 840.0], [566.0, 840.0]], ('PC', 0.9917886257171631)], [[[668.0, 810.0], [773.0, 810.0], [773.0, 840.0], [668.0, 840.0]], ('0.00T', 0.9855248332023621)], [[[132.0, 845.0], [536.0, 845.0], [536.0, 868.0], [132.0, 868.0]], ('SC3291 AUTDMATIC C0UP0N', 0.8998336791992188)], [[[566.0, 843.0], [637.0, 843.0], [637.0, 868.0], [566.0, 868.0]], ('4.49', 0.9826000332832336)], [[[263.0, 873.0], [449.0, 873.0], [449.0, 902.0], [263.0, 902.0]], ('GILLETTE BW', 0.954654335975647)], [[[568.0, 872.0], [609.0, 872.0], [609.0, 903.0], [568.0, 903.0]], ('PC', 0.9916256070137024)], [[[671.0, 870.0], [778.0, 870.0], [778.0, 900.0], [671.0, 900.0]], ('4.49T', 0.9790909886360168)], [[[261.0, 905.0], [451.0, 903.0], [451.0, 933.0], [261.0, 935.0]], ('GILLETTE BW', 0.9401969909667969)], [[[568.0, 903.0], [609.0, 903.0], [609.0, 935.0], [568.0, 935.0]], ('PC', 0.9925718307495117)], [[[669.0, 902.0], [779.0, 900.0], [780.0, 932.0], [670.0, 934.0]], ('0.00T', 0.9780570268630981)], [[[125.0, 940.0], [271.0, 940.0], [271.0, 970.0], [125.0, 970.0]], ('SC 3291', 0.9263893961906433)], [[[259.0, 940.0], [537.0, 940.0], [537.0, 968.0], [259.0, 968.0]], ('AUTOMATIC COUPON', 0.9516649842262268)], [[[566.0, 937.0], [641.0, 937.0], [641.0, 968.0], [566.0, 968.0]], ('4.49', 0.9948984980583191)], [[[259.0, 973.0], [451.0, 972.0], [451.0, 1002.0], [260.0, 1003.0]], ('GILLETTE BW', 0.9036074280738831)], [[[568.0, 968.0], [609.0, 968.0], [609.0, 1003.0], [568.0, 1003.0]], ('PC', 0.9930503964424133)], [[[673.0, 970.0], [782.0, 970.0], [782.0, 1000.0], [673.0, 1000.0]], ('4.49T', 0.9785467982292175)], [[[120.0, 1005.0], [163.0, 1005.0], [163.0, 1040.0], [120.0, 1040.0]], ('MC', 0.997534990310669)], [[[261.0, 1008.0], [502.0, 1008.0], [502.0, 1037.0], [261.0, 1037.0]], ('SCANNED COUPON', 0.9710286259651184)], [[[673.0, 1003.0], [768.0, 1003.0], [768.0, 1038.0], [673.0, 1038.0]], ('4.00-', 0.9938823580741882)], [[[122.0, 1042.0], [163.0, 1042.0], [163.0, 1073.0], [122.0, 1073.0]], ('MC', 0.9980165362358093)], [[[261.0, 1043.0], [504.0, 1043.0], [504.0, 1072.0], [261.0, 1072.0]], ('SCANNED COUPON', 0.9696841239929199)], [[[673.0, 1038.0], [768.0, 1038.0], [768.0, 1073.0], [673.0, 1073.0]], ('4.00-', 0.9916774034500122)], [[[124.0, 1075.0], [161.0, 1075.0], [161.0, 1105.0], [124.0, 1105.0]], ('MC', 0.998327374458313)], [[[261.0, 1077.0], [504.0, 1077.0], [504.0, 1105.0], [261.0, 1105.0]], ('SCANNED COUPON', 0.9696651697158813)], [[[673.0, 1072.0], [766.0, 1072.0], [766.0, 1107.0], [673.0, 1107.0]], ('4.00-', 0.9860185384750366)], [[[122.0, 1105.0], [164.0, 1105.0], [164.0, 1140.0], [122.0, 1140.0]], ('MC', 0.9983478784561157)], [[[263.0, 1110.0], [504.0, 1110.0], [504.0, 1138.0], [263.0, 1138.0]], ('SCANNED COUPON', 0.9607530236244202)], [[[675.0, 1108.0], [765.0, 1108.0], [765.0, 1138.0], [675.0, 1138.0]], ('4.00-', 0.986445426940918)], [[[263.0, 1140.0], [320.0, 1140.0], [320.0, 1172.0], [263.0, 1172.0]], ('TAX', 0.9978399276733398)], [[[673.0, 1142.0], [749.0, 1142.0], [749.0, 1173.0], [673.0, 1173.0]], ('1.08', 0.9955528378486633)], [[[181.0, 1173.0], [385.0, 1173.0], [385.0, 1202.0], [181.0, 1202.0]], ('* BALANCE', 0.8505052924156189)], [[[673.0, 1175.0], [749.0, 1175.0], [749.0, 1207.0], [673.0, 1207.0]], ('3.04', 0.9937736988067627)], [[[266.0, 1203.0], [339.0, 1203.0], [339.0, 1233.0], [266.0, 1233.0]], ('CASH', 0.9979777932167053)], [[[673.0, 1204.0], [748.0, 1209.0], [746.0, 1241.0], [671.0, 1236.0]], ('4.00', 0.9972636699676514)], [[[264.0, 1232.0], [368.0, 1232.0], [368.0, 1260.0], [264.0, 1260.0]], ('CHANGE', 0.9978641867637634)], [[[671.0, 1236.0], [747.0, 1241.0], [745.0, 1272.0], [669.0, 1268.0]], ('0.96', 0.9933728575706482)], [[[136.0, 1267.0], [605.0, 1267.0], [605.0, 1295.0], [136.0, 1295.0]], ('TOTAL NUMBER OF ITEMS SOLD =', 0.934298574924469)], [[[671.0, 1272.0], [695.0, 1272.0], [695.0, 1298.0], [671.0, 1298.0]], ('8', 0.9792537689208984)], [[[132.0, 1333.0], [759.0, 1330.0], [760.0, 1360.0], [132.0, 1363.0]], ('YOUR KROGER SAVINGS TODAY', 0.9068669080734253)], [[[136.0, 1372.0], [387.0, 1372.0], [387.0, 1395.0], [136.0, 1395.0]], ('MFG CPN SAVINGS', 0.9215169548988342)], [[[604.0, 1363.0], [748.0, 1363.0], [748.0, 1398.0], [604.0, 1398.0]], ('$16.00', 0.9915499687194824)], [[[136.0, 1407.0], [573.0, 1407.0], [573.0, 1430.0], [136.0, 1430.0]], ('STR CPN & KRO PLUS SAVINGS', 0.91190505027771)], [[[609.0, 1405.0], [629.0, 1405.0], [629.0, 1428.0], [609.0, 1428.0]], ('$', 0.945883572101593)], [[[654.0, 1402.0], [746.0, 1402.0], [746.0, 1432.0], [654.0, 1432.0]], ('17.96', 0.9961555600166321)], [[[136.0, 1435.0], [356.0, 1435.0], [356.0, 1468.0], [136.0, 1468.0]], ('TOTAL COUPONS', 0.9557634592056274)], [[[653.0, 1432.0], [748.0, 1432.0], [748.0, 1467.0], [653.0, 1467.0]], ('33.96', 0.9939332008361816)], [[[137.0, 1472.0], [526.0, 1472.0], [526.0, 1500.0], [137.0, 1500.0]], ('TOTAL SAVINGS 94 PCt.)', 0.8628944158554077)], [[[605.0, 1470.0], [668.0, 1470.0], [668.0, 1500.0], [605.0, 1500.0]], ('$', 0.8750825524330139)], [[[654.0, 1470.0], [748.0, 1470.0], [748.0, 1500.0], [654.0, 1500.0]], ('33.96', 0.9954642057418823)], [[[132.0, 1503.0], [766.0, 1502.0], [766.0, 1535.0], [132.0, 1537.0]], ('*YOUR KROGER SAVINGS TODAY****', 0.8470079898834229)], [[[134.0, 1575.0], [432.0, 1573.0], [432.0, 1597.0], [134.0, 1598.0]], ('06/17/10.08:00em', 0.8921139240264893)], [[[422.0, 1573.0], [643.0, 1573.0], [643.0, 1597.0], [422.0, 1597.0]], ('8874323179', 0.9970556497573853)]]	{"store_name": "Kroger", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "1.08", "total": "3.04", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GILLETTEBW", "item_value": "4.49", "item_quantity": "1"}, {"item_key": "", "item_name": "GILLETTEBW", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GILLETTEBW", "item_value": "4.49", "item_quantity": "1"}, {"item_key": "", "item_name": "GILLETTEBW", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GILLETTEBW", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GILLETTEBW", "item_value": "4.49", "item_quantity": "1"}, {"item_key": "", "item_name": "GILLBW", "item_value": "4.49", "item_quantity": "1"}, {"item_key": "", "item_name": "GILLBW", "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	[[[[164.0, 62.0], [283.0, 74.0], [281.0, 95.0], [162.0, 83.0]], ('SUPREME', 0.9975683093070984)], [[[175.0, 89.0], [272.0, 98.0], [270.0, 115.0], [173.0, 106.0]], ('2 Peter Street', 0.9433124661445618)], [[[183.0, 111.0], [263.0, 116.0], [262.0, 134.0], [182.0, 129.0]], ('London UK', 0.9546101689338684)], [[[187.0, 132.0], [258.0, 136.0], [257.0, 154.0], [186.0, 150.0]], ('W1F0AA', 0.8762485980987549)], [[[168.0, 154.0], [276.0, 159.0], [275.0, 176.0], [167.0, 171.0]], ('02074370493', 0.9960387945175171)], [[[9.0, 179.0], [138.0, 182.0], [138.0, 200.0], [9.0, 197.0]], ('Date:24/08/2017', 0.9695443511009216)], [[[225.0, 184.0], [296.0, 188.0], [295.0, 206.0], [224.0, 202.0]], ('Receipt #', 0.9148828983306885)], [[[311.0, 189.0], [368.0, 191.0], [368.0, 208.0], [311.0, 206.0]], ('249676', 0.9934449791908264)], [[[11.0, 211.0], [124.0, 213.0], [124.0, 231.0], [11.0, 229.0]], ('Time:13:04.03', 0.9302259087562561)], [[[253.0, 206.0], [297.0, 209.0], [295.0, 227.0], [252.0, 223.0]], ('Store:', 0.9432249665260315)], [[[330.0, 209.0], [370.0, 211.0], [369.0, 230.0], [329.0, 228.0]], ('001A', 0.9931740760803223)], [[[236.0, 226.0], [297.0, 228.0], [297.0, 246.0], [236.0, 244.0]], ('Cashier.', 0.9537160396575928)], [[[335.0, 230.0], [370.0, 230.0], [370.0, 249.0], [335.0, 249.0]], ('Jins', 0.9485279321670532)], [[[47.0, 304.0], [95.0, 304.0], [95.0, 322.0], [47.0, 322.0]], ('ITEM#', 0.9945574998855591)], [[[160.0, 306.0], [192.0, 306.0], [192.0, 325.0], [160.0, 325.0]], ('QTY', 0.9874195456504822)], [[[320.0, 310.0], [366.0, 310.0], [366.0, 328.0], [320.0, 328.0]], ('PRICE', 0.9966971278190613)], [[[44.0, 333.0], [91.0, 333.0], [91.0, 348.0], [44.0, 348.0]], ('47838', 0.9983587265014648)], [[[166.0, 334.0], [181.0, 331.0], [184.0, 348.0], [169.0, 351.0]], ('1', 0.9893394112586975)], [[[12.0, 349.0], [93.0, 351.0], [93.0, 366.0], [12.0, 364.0]], ('FW17SW15', 0.9926694631576538)], [[[315.0, 340.0], [367.0, 340.0], [367.0, 358.0], [315.0, 358.0]], ('148.00', 0.9956715703010559)], [[[145.0, 350.0], [228.0, 352.0], [228.0, 369.0], [145.0, 367.0]], ('NAVY LARI', 0.926869809627533)], [[[11.0, 366.0], [184.0, 369.0], [184.0, 386.0], [11.0, 383.0]], ('BLOCKED HOODED SWE', 0.9470460414886475)], [[[89.0, 390.0], [158.0, 393.0], [157.0, 411.0], [88.0, 408.0]], ('1 Unit(s)', 0.8856697082519531)], [[[191.0, 392.0], [257.0, 394.0], [257.0, 412.0], [191.0, 410.0]], ('Subtotal:', 0.9805344343185425)], [[[315.0, 396.0], [368.0, 396.0], [368.0, 414.0], [315.0, 414.0]], ('148.00', 0.9942720532417297)], [[[143.0, 416.0], [258.0, 418.0], [258.0, 436.0], [143.0, 434.0]], ('20.000 %VAT', 0.9517278075218201)], [[[323.0, 420.0], [367.0, 420.0], [367.0, 438.0], [323.0, 438.0]], ('24.67', 0.992825984954834)], [[[123.0, 442.0], [257.0, 443.0], [257.0, 461.0], [123.0, 460.0]], ('RECEIPT TOTAL:', 0.9612821340560913)], [[[315.0, 444.0], [368.0, 446.0], [367.0, 465.0], [314.0, 463.0]], ('148.00', 0.9976742267608643)]]	{"store_name": "SUPREME", "store_addr": "2PeterStreet LondonUK W1F0AA", "telephone": "02074370493", "date": "24/08/2017", "time": "13:04:03", "subtotal": "148.00", "tax": "24.67", "total": "148.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FW17SW15", "item_value": "148.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BLOCKEDHOODEDSWE", "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	[[[[57.0, 2.0], [106.0, 2.0], [106.0, 16.0], [57.0, 16.0]], ('615984279', 0.9844400882720947)], [[[111.0, 14.0], [165.0, 14.0], [165.0, 28.0], [111.0, 28.0]], ('LO-OAPES', 0.602887749671936)], [[[36.0, 36.0], [142.0, 37.0], [142.0, 51.0], [36.0, 50.0]], ('TERRAZA:T5', 0.9391868710517883)], [[[36.0, 61.0], [161.0, 61.0], [161.0, 75.0], [36.0, 75.0]], ('FECHA:31/08/2016 22:09:18', 0.9212621450424194)], [[[38.0, 87.0], [71.0, 87.0], [71.0, 98.0], [38.0, 98.0]], ('Cant.', 0.9703718423843384)], [[[73.0, 86.0], [129.0, 86.0], [129.0, 97.0], [73.0, 97.0]], ('Descripcion', 0.8136680126190186)], [[[148.0, 85.0], [180.0, 85.0], [180.0, 96.0], [148.0, 96.0]], ('Precio', 0.9786537289619446)], [[[198.0, 82.0], [225.0, 85.0], [224.0, 97.0], [197.0, 94.0]], ('Suman', 0.883070170879364)], [[[57.0, 107.0], [122.0, 106.0], [122.0, 120.0], [58.0, 121.0]], ('1CALAMARITOS', 0.927827775478363)], [[[204.0, 106.0], [226.0, 106.0], [226.0, 118.0], [204.0, 118.0]], ('4.50', 0.9816595911979675)], [[[59.0, 120.0], [129.0, 120.0], [129.0, 130.0], [59.0, 130.0]], ('1 CAA SARDINAS', 0.9299915432929993)], [[[204.0, 118.0], [226.0, 118.0], [226.0, 129.0], [204.0, 129.0]], ('4.00', 0.9902703166007996)], [[[58.0, 131.0], [129.0, 131.0], [129.0, 142.0], [58.0, 142.0]], ('1.JIBIA PLANCHA', 0.8866974711418152)], [[[204.0, 129.0], [226.0, 129.0], [226.0, 141.0], [204.0, 141.0]], ('8.00', 0.9921032190322876)], [[[59.0, 142.0], [101.0, 142.0], [101.0, 153.0], [59.0, 153.0]], ('1.LIPTON', 0.9184836149215698)], [[[204.0, 140.0], [226.0, 140.0], [226.0, 152.0], [204.0, 152.0]], ('1.20', 0.9841063022613525)], [[[57.0, 152.0], [147.0, 150.0], [147.0, 163.0], [58.0, 165.0]], ('2TUBO TINTO VERAN', 0.886718213558197)], [[[146.0, 152.0], [180.0, 152.0], [180.0, 163.0], [146.0, 163.0]], ('1.20', 0.8602490425109863)], [[[203.0, 151.0], [227.0, 151.0], [227.0, 163.0], [203.0, 163.0]], ('2.40', 0.9856987595558167)], [[[132.0, 164.0], [176.0, 164.0], [176.0, 175.0], [132.0, 175.0]], ('Subtotal:', 0.9851758480072021)], [[[201.0, 162.0], [229.0, 162.0], [229.0, 175.0], [201.0, 175.0]], ('20.10', 0.9913243055343628)], [[[40.0, 187.0], [89.0, 187.0], [89.0, 199.0], [40.0, 199.0]], ('Imp:10.00%', 0.8533920049667358)], [[[115.0, 186.0], [140.0, 186.0], [140.0, 199.0], [115.0, 199.0]], ('18.27', 0.9927228093147278)], [[[160.0, 185.0], [182.0, 185.0], [182.0, 198.0], [160.0, 198.0]], ('1.83', 0.9955568313598633)], [[[202.0, 185.0], [230.0, 185.0], [230.0, 199.0], [202.0, 199.0]], ('20.10', 0.9666801691055298)], [[[179.0, 208.0], [212.0, 208.0], [212.0, 222.0], [179.0, 222.0]], ('EUROS', 0.9721490740776062)], [[[38.0, 220.0], [81.0, 223.0], [80.0, 237.0], [37.0, 235.0]], ('TOTAL...', 0.9213858842849731)], [[[98.0, 221.0], [127.0, 221.0], [127.0, 236.0], [98.0, 236.0]], ('20.10', 0.9792502522468567)], [[[180.0, 220.0], [233.0, 220.0], [233.0, 234.0], [180.0, 234.0]], ('20.10', 0.9834562540054321)], [[[35.0, 246.0], [126.0, 246.0], [126.0, 257.0], [35.0, 257.0]], ('LE ATENDIO CAJERO', 0.9145021438598633)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "31/08/2016", "time": "22:09:18", "subtotal": "20.10", "tax": "1.83", "total": "20.10 20.10 20.10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CALAMARITOS", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CATASARDINAS", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JIBIAPLANCHA", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LIPTON", "item_value": "1.20", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "Dascriocton", "item_name": "", "item_value": "", "item_quantity": ""}]}