Datasets:

GHOFRANEE
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Dataset_ocr_to_json

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Split (2)

train · 2.14k rows

instruction stringclasses 1 value	input stringlengths 586 18k	output stringlengths 161 5.19k
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[316.0, 47.0], [461.0, 44.0], [461.0, 61.0], [316.0, 64.0]], ('A 6b AP E0OA', 0.6913492679595947)], [[[305.0, 66.0], [473.0, 63.0], [473.0, 80.0], [305.0, 82.0]], ('CO6y.6bAP55', 0.7914127707481384)], [[[336.0, 84.0], [443.0, 84.0], [443.0, 101.0], [336.0, 101.0]], ('EK:130007884', 0.9532008767127991)], [[[345.0, 102.0], [432.0, 102.0], [432.0, 119.0], [345.0, 119.0]], ('MATA3H149', 0.9348253607749939)], [[[282.0, 122.0], [497.0, 119.0], [497.0, 136.0], [282.0, 139.0]], ('COy..C.PAKOBCK116', 0.9095467925071716)], [[[304.0, 140.0], [475.0, 139.0], [475.0, 156.0], [304.0, 157.0]], ('HOMEP3AAC:BG130007884', 0.9467856287956238)], [[[233.0, 158.0], [367.0, 159.0], [367.0, 177.0], [232.0, 176.0]], ('024BETAHOBA19', 0.8913277983665466)], [[[231.0, 193.0], [292.0, 197.0], [291.0, 215.0], [230.0, 211.0]], ('0.252', 0.9916243553161621)], [[[314.0, 196.0], [351.0, 196.0], [351.0, 214.0], [314.0, 214.0]], ('2.59', 0.993293285369873)], [[[231.0, 211.0], [285.0, 215.0], [283.0, 236.0], [229.0, 232.0]], ('BAHAHN', 0.8971285223960876)], [[[439.0, 214.0], [459.0, 214.0], [459.0, 232.0], [439.0, 232.0]], ('*5', 0.7009329795837402)], [[[507.0, 213.0], [544.0, 213.0], [544.0, 231.0], [507.0, 231.0]], ('0.65', 0.9731297492980957)], [[[230.0, 271.0], [266.0, 274.0], [264.0, 293.0], [228.0, 291.0]], ('CYMA', 0.9800229668617249)], [[[431.0, 272.0], [458.0, 272.0], [458.0, 293.0], [431.0, 293.0]], ('nB.', 0.7034382820129395)], [[[510.0, 271.0], [546.0, 271.0], [546.0, 290.0], [510.0, 290.0]], ('0.65', 0.9828857779502869)], [[[229.0, 311.0], [289.0, 313.0], [289.0, 334.0], [228.0, 331.0]], ('MUATEHO', 0.8543359041213989)], [[[306.0, 314.0], [358.0, 314.0], [358.0, 332.0], [306.0, 332.0]], ('B5PO', 0.8538869619369507)], [[[511.0, 310.0], [547.0, 310.0], [547.0, 329.0], [511.0, 329.0]], ('1.00', 0.994041919708252)], [[[227.0, 330.0], [274.0, 333.0], [272.0, 355.0], [226.0, 352.0]], ('PECTO', 0.9949040412902832)], [[[432.0, 330.0], [459.0, 330.0], [459.0, 351.0], [432.0, 351.0]], ('JB.', 0.8039152026176453)], [[[511.0, 329.0], [547.0, 329.0], [547.0, 349.0], [511.0, 349.0]], ('0.35', 0.9840973019599915)], [[[228.0, 372.0], [264.0, 372.0], [264.0, 392.0], [228.0, 392.0]], ('9494', 0.9987496137619019)], [[[506.0, 369.0], [519.0, 369.0], [519.0, 386.0], [506.0, 386.0]], ('1', 0.9848381280899048)], [[[229.0, 394.0], [311.0, 394.0], [311.0, 412.0], [229.0, 412.0]], ('26.03.2013', 0.9914760589599609)], [[[504.0, 388.0], [550.0, 385.0], [552.0, 407.0], [506.0, 409.0]], ('10:49', 0.9576786160469055)], [[[229.0, 416.0], [369.0, 416.0], [369.0, 437.0], [229.0, 437.0]], ('CHCTEMEH OH', 0.865181028842926)], [[[347.0, 434.0], [433.0, 431.0], [433.0, 451.0], [348.0, 454.0]], ('BMLN000149', 0.9752726554870605)], [[[226.0, 478.0], [550.0, 471.0], [551.0, 490.0], [227.0, 498.0]], ('09C99DAB84162CFEE5C416AA77514C105DF886DE', 0.9858997464179993)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "26.03.2013", "time": "10:49", "subtotal": "", "tax": "", "total": "0.65", "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	[[[[83.0, 18.0], [311.0, 48.0], [308.0, 68.0], [80.0, 38.0]], ('Slip: 000000NP01000001652', 0.9505666494369507)], [[[83.0, 37.0], [218.0, 55.0], [216.0, 73.0], [80.0, 55.0]], ('Staff:ELDayaon', 0.9622672200202942)], [[[78.0, 56.0], [270.0, 80.0], [268.0, 97.0], [76.0, 73.0]], ('Date03/30/148:16', 0.978266179561615)], [[[79.0, 74.0], [163.0, 85.0], [160.0, 103.0], [76.0, 92.0]], ('Table:55', 0.9176921844482422)], [[[74.0, 93.0], [163.0, 103.0], [160.0, 124.0], [71.0, 114.0]], ('Covers:3', 0.9484732151031494)], [[[70.0, 112.0], [142.0, 120.0], [139.0, 141.0], [67.0, 133.0]], ('DINE IN', 0.9768367409706116)], [[[64.0, 153.0], [176.0, 165.0], [174.0, 186.0], [62.0, 174.0]], ('Description', 0.9969207644462585)], [[[351.0, 184.0], [406.0, 191.0], [403.0, 213.0], [348.0, 206.0]], ('Amount', 0.9977726936340332)], [[[59.0, 195.0], [188.0, 210.0], [185.0, 231.0], [56.0, 216.0]], ('Cheese Burger', 0.955353319644928)], [[[56.0, 218.0], [180.0, 231.0], [178.0, 251.0], [54.0, 238.0]], ('Potato Fries', 0.9764677882194519)], [[[354.0, 225.0], [431.0, 235.0], [428.0, 256.0], [351.0, 246.0]], ('385.00VA', 0.9840986728668213)], [[[53.0, 242.0], [254.0, 261.0], [252.0, 281.0], [51.0, 262.0]], ('KIDS Creamy Macaroni', 0.9598897099494934)], [[[362.0, 247.0], [433.0, 256.0], [430.0, 277.0], [359.0, 268.0]], ('60.00 VA', 0.9263709187507629)], [[[357.0, 268.0], [434.0, 277.0], [431.0, 298.0], [354.0, 289.0]], ('190.00VA', 0.9855231046676636)], [[[45.0, 290.0], [133.0, 296.0], [131.0, 319.0], [43.0, 313.0]], ('Subtotal', 0.9957470297813416)], [[[43.0, 314.0], [195.0, 327.0], [193.0, 351.0], [41.0, 338.0]], ('Service Charge', 0.9699753522872925)], [[[356.0, 314.0], [413.0, 317.0], [412.0, 339.0], [355.0, 336.0]], ('635.00', 0.9954048991203308)], [[[365.0, 336.0], [415.0, 340.0], [413.0, 364.0], [363.0, 360.0]], ('56.70', 0.9316070675849915)], [[[37.0, 364.0], [97.0, 369.0], [95.0, 399.0], [34.0, 394.0]], ('Total', 0.9973629117012024)], [[[358.0, 383.0], [418.0, 386.0], [416.0, 411.0], [356.0, 408.0]], ('691.70', 0.993480920791626)], [[[31.0, 420.0], [92.0, 426.0], [89.0, 455.0], [28.0, 449.0]], ('Tips:', 0.9699578285217285)], [[[27.0, 480.0], [99.0, 480.0], [99.0, 509.0], [27.0, 509.0]], ('Total:', 0.985964834690094)], [[[149.0, 540.0], [228.0, 540.0], [228.0, 565.0], [149.0, 565.0]], ('Net.Amt', 0.9915019869804382)], [[[310.0, 538.0], [344.0, 538.0], [344.0, 563.0], [310.0, 563.0]], ('VAT', 0.995941162109375)], [[[387.0, 535.0], [445.0, 535.0], [445.0, 560.0], [387.0, 560.0]], ('Amount', 0.9983918070793152)], [[[21.0, 569.0], [91.0, 569.0], [91.0, 595.0], [21.0, 595.0]], ('VATABL', 0.9936715960502625)], [[[170.0, 569.0], [239.0, 567.0], [240.0, 593.0], [171.0, 595.0]], ('566.96', 0.9960222244262695)], [[[286.0, 566.0], [342.0, 562.0], [344.0, 587.0], [288.0, 591.0]], ('68.04', 0.9931065440177917)], [[[385.0, 561.0], [445.0, 558.0], [446.0, 583.0], [386.0, 586.0]], ('635.00', 0.9958326816558838)], [[[295.0, 591.0], [342.0, 589.0], [343.0, 615.0], [296.0, 617.0]], ('0.00', 0.995989203453064)], [[[403.0, 585.0], [446.0, 585.0], [446.0, 609.0], [403.0, 609.0]], ('0.00', 0.8732658624649048)], [[[19.0, 598.0], [92.0, 598.0], [92.0, 624.0], [19.0, 624.0]], ('EXEMPT', 0.9941986203193665)], [[[190.0, 595.0], [240.0, 595.0], [240.0, 621.0], [190.0, 621.0]], ('0.00', 0.9935151934623718)], [[[295.0, 618.0], [339.0, 616.0], [340.0, 639.0], [296.0, 639.0]], ('0.00', 0.9936656951904297)], [[[401.0, 611.0], [444.0, 609.0], [445.0, 633.0], [402.0, 635.0]], ('0.00', 0.9933719635009766)], [[[191.0, 623.0], [237.0, 623.0], [237.0, 639.0], [191.0, 639.0]], ('0.00', 0.9918026924133301)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "03/30/14", "time": "8:16", "subtotal": "635.00 635.00", "tax": "68.04", "total": "691.70", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CheeseBurger", "item_value": "385.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PotatoFries", "item_value": "60.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KIDSCreamyMacaroni", "item_value": "190.00", "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	[[[[2.0, 64.0], [180.0, 64.0], [180.0, 88.0], [2.0, 88.0]], ('MontgomeryWard', 0.9539560079574585)], [[[0.0, 116.0], [184.0, 118.0], [184.0, 131.0], [0.0, 129.0]], ('MONTGOMERY WARD PARTNERS ', 0.9357120394706726)], [[[27.0, 131.0], [161.0, 131.0], [161.0, 144.0], [27.0, 144.0]], ('WITH THE USO IN PROJECT', 0.8847064971923828)], [[[6.0, 171.0], [34.0, 171.0], [34.0, 184.0], [6.0, 184.0]], ('3466', 0.986200213432312)], [[[52.0, 171.0], [107.0, 171.0], [107.0, 182.0], [52.0, 182.0]], ('5123/1163', 0.9960722327232361)], [[[142.0, 170.0], [175.0, 170.0], [175.0, 184.0], [142.0, 184.0]], ('92404', 0.9921873211860657)], [[[72.0, 197.0], [118.0, 197.0], [118.0, 211.0], [72.0, 211.0]], ('SALE', 0.9965952634811401)], [[[0.0, 226.0], [121.0, 226.0], [121.0, 239.0], [0.0, 239.0]], ('248505703DFM/NY/B00', 0.9200866222381592)], [[[0.0, 239.0], [45.0, 239.0], [45.0, 253.0], [0.0, 253.0]], ('ON SALE', 0.9170041084289551)], [[[146.0, 240.0], [174.0, 240.0], [174.0, 253.0], [146.0, 253.0]], ('9.99', 0.9754312038421631)], [[[0.0, 253.0], [122.0, 253.0], [122.0, 266.0], [0.0, 266.0]], ('248200127COMHICANV', 0.9473094940185547)], [[[1.0, 266.0], [46.0, 266.0], [46.0, 277.0], [1.0, 277.0]], ('ON SALE', 0.8750792145729065)], [[[143.0, 264.0], [175.0, 264.0], [175.0, 278.0], [143.0, 278.0]], ('19.99', 0.981097400188446)], [[[0.0, 276.0], [80.0, 275.0], [80.0, 289.0], [0.0, 290.0]], ('SAVINGS', 0.9696954488754272)], [[[144.0, 276.0], [178.0, 276.0], [178.0, 290.0], [144.0, 290.0]], ('1.00-', 0.974441409111023)], [[[0.0, 289.0], [95.0, 289.0], [95.0, 303.0], [0.0, 303.0]], ('10PLUS SAVING', 0.929253876209259)], [[[146.0, 287.0], [179.0, 289.0], [178.0, 304.0], [144.0, 302.0]], ('2.90-', 0.977556049823761)], [[[0.0, 302.0], [23.0, 302.0], [23.0, 317.0], [0.0, 317.0]], ('TAX', 0.8040727972984314)], [[[146.0, 302.0], [174.0, 302.0], [174.0, 317.0], [146.0, 317.0]], ('1.31', 0.9899804592132568)], [[[0.0, 329.0], [54.0, 329.0], [54.0, 343.0], [0.0, 343.0]], ('MW-CREDIT', 0.8988263010978699)], [[[140.0, 330.0], [174.0, 330.0], [174.0, 344.0], [140.0, 344.0]], ('27.39', 0.9867847561836243)], [[[0.0, 344.0], [34.0, 344.0], [34.0, 358.0], [0.0, 358.0]], ('TOTAL', 0.9930631518363953)], [[[142.0, 344.0], [176.0, 344.0], [176.0, 359.0], [142.0, 359.0]], ('27.39', 0.9834105372428894)], [[[164.0, 377.0], [184.0, 377.0], [184.0, 389.0], [164.0, 389.0]], ('MSR', 0.9830281734466553)], [[[1.0, 387.0], [104.0, 387.0], [104.0, 400.0], [1.0, 400.0]], ('MW-CREDIT APPROVAL', 0.9191122055053711)], [[[31.0, 415.0], [78.0, 415.0], [78.0, 426.0], [31.0, 426.0]], ('12/01/90', 0.977867603302002)], [[[96.0, 414.0], [130.0, 414.0], [130.0, 428.0], [96.0, 428.0]], ('11:07', 0.9633039236068726)], [[[19.0, 469.0], [157.0, 469.0], [157.0, 482.0], [19.0, 482.0]], ('SAVE RECEIPT FOR BILLING', 0.9459714889526367)], [[[19.0, 481.0], [149.0, 481.0], [149.0, 491.0], [19.0, 491.0]], ('AND ADJUSTMENT PURPOSES', 0.9359497427940369)], [[[14.0, 527.0], [150.0, 527.0], [150.0, 540.0], [14.0, 540.0]], ('CUSTOMERCOPY', 0.9868258833885193)], [[[0.0, 568.0], [184.0, 569.0], [184.0, 583.0], [0.0, 582.0]], ('#MONTGOMERY WARD--WHEATON PLAZAR', 0.8989407420158386)], [[[29.0, 580.0], [141.0, 580.0], [141.0, 593.0], [29.0, 593.0]], ('11160VEIRSMILLRD', 0.9423825740814209)], [[[2.0, 592.0], [12.0, 592.0], [12.0, 601.0], [2.0, 601.0]], ('#', 0.9932045936584473)], [[[35.0, 591.0], [135.0, 591.0], [135.0, 604.0], [35.0, 604.0]], ('WHEATON.MD20902', 0.8903837203979492)], [[[175.0, 583.0], [183.0, 583.0], [183.0, 592.0], [175.0, 592.0]], ('#', 0.9643059968948364)], [[[175.0, 593.0], [184.0, 593.0], [184.0, 603.0], [175.0, 603.0]], ('#', 0.8956459164619446)]]	{"store_name": "MontgomeryWard MONTGOMERYWARD--WHEATONPLAZA", "store_addr": "11160VEIRSMILLRD WHEATON,MD20902", "telephone": "", "date": "12/01/90", "time": "11:07", "subtotal": "", "tax": "1.31", "total": "27.39 27.39", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DFM/NY/BD0", "item_value": "9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CDMHICANV", "item_value": "19.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[52.0, 72.0], [205.0, 79.0], [204.0, 93.0], [51.0, 86.0]], ('MIKE SHOPPING MALL CO.LTD.', 0.9161570072174072)], [[[52.0, 88.0], [149.0, 93.0], [149.0, 107.0], [51.0, 102.0]], ('TAX INVOICE ABB', 0.8647285103797913)], [[[49.0, 103.0], [178.0, 109.0], [177.0, 123.0], [49.0, 117.0]], ('TAX ID#0205534003497', 0.9484240412712097)], [[[49.0, 118.0], [172.0, 124.0], [172.0, 138.0], [49.0, 132.0]], ('POSID082991000116', 0.9788845181465149)], [[[52.0, 150.0], [98.0, 154.0], [98.0, 165.0], [51.0, 161.0]], ('A', 0.7369933128356934)], [[[49.0, 164.0], [166.0, 167.0], [166.0, 181.0], [49.0, 178.0]], ('600.2', 0.7441158294677734)], [[[207.0, 168.0], [243.0, 168.0], [243.0, 183.0], [207.0, 183.0]], ('10.00V', 0.9673977494239807)], [[[48.0, 194.0], [166.0, 196.0], [166.0, 210.0], [48.0, 208.0]], ('SUOA LORLL CUN', 0.6142961382865906)], [[[206.0, 197.0], [242.0, 197.0], [242.0, 212.0], [206.0, 212.0]], ('10.000', 0.9092099666595459)], [[[206.0, 226.0], [241.0, 226.0], [241.0, 241.0], [206.0, 241.0]], ('10.00V', 0.9005851745605469)], [[[113.0, 254.0], [187.0, 256.0], [187.0, 269.0], [113.0, 267.0]], ('No.itens.13', 0.837471604347229)], [[[50.0, 265.0], [104.0, 267.0], [103.0, 282.0], [49.0, 280.0]], ('Sub.Total', 0.9697309136390686)], [[[210.0, 270.0], [242.0, 270.0], [242.0, 285.0], [210.0, 285.0]], ('3000', 0.8290373086929321)], [[[47.0, 280.0], [81.0, 283.0], [79.0, 298.0], [46.0, 295.0]], ('Jotal', 0.8954512476921082)], [[[210.0, 284.0], [241.0, 284.0], [241.0, 299.0], [210.0, 299.0]], ('30.00', 0.9799827337265015)], [[[45.0, 296.0], [73.0, 296.0], [73.0, 311.0], [45.0, 311.0]], ('Cash', 0.9948737621307373)], [[[211.0, 296.0], [244.0, 299.0], [242.0, 314.0], [209.0, 311.0]], ('40.00', 0.9889140129089355)], [[[45.0, 311.0], [95.0, 311.0], [95.0, 325.0], [45.0, 325.0]], ('#CHANGER', 0.9011411666870117)], [[[213.0, 311.0], [246.0, 314.0], [244.0, 328.0], [211.0, 325.0]], ('10.00', 0.9953705668449402)], [[[78.0, 328.0], [222.0, 328.0], [222.0, 343.0], [78.0, 343.0]], ('* VAT INCLUDED X*', 0.8873140811920166)], [[[41.0, 343.0], [222.0, 345.0], [222.0, 359.0], [41.0, 358.0]], ('16/09/1619:55USERFN8802', 0.9413735866546631)], [[[38.0, 374.0], [61.0, 377.0], [59.0, 394.0], [36.0, 392.0]], ('S01', 0.8713601231575012)], [[[135.0, 377.0], [243.0, 379.0], [243.0, 396.0], [135.0, 394.0]], ('INV.S01004846', 0.9313628077507019)], [[[116.0, 411.0], [177.0, 413.0], [176.0, 430.0], [116.0, 428.0]], ('Thank You', 0.9535382390022278)], [[[71.0, 428.0], [239.0, 430.0], [239.0, 447.0], [71.0, 445.0]], ('Goods Sales Can not Return', 0.9599978923797607)]]	{"store_name": "MIKESHOPPINGMALLCO.,LTD.", "store_addr": "", "telephone": "", "date": "16/09/16", "time": "19:55", "subtotal": "30.00", "tax": "", "total": "30.00", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[102.0, 199.0], [412.0, 218.0], [410.0, 247.0], [101.0, 229.0]], ('California Pizza Kitchen #240', 0.9643365740776062)], [[[156.0, 230.0], [371.0, 245.0], [369.0, 270.0], [154.0, 255.0]], ('1200 Morris Turnpike', 0.9737359881401062)], [[[141.0, 255.0], [379.0, 270.0], [377.0, 299.0], [139.0, 283.0]], ('Short Hills,NJ 07078', 0.9232262372970581)], [[[182.0, 285.0], [336.0, 295.0], [334.0, 320.0], [180.0, 310.0]], ('973)379-3700', 0.9513331055641174)], [[[45.0, 336.0], [150.0, 339.0], [150.0, 364.0], [44.0, 361.0]], ('04/21/2018', 0.9971062541007996)], [[[42.0, 361.0], [148.0, 366.0], [147.0, 391.0], [41.0, 386.0]], ('CHASE VISA', 0.9527415037155151)], [[[382.0, 352.0], [461.0, 360.0], [459.0, 383.0], [380.0, 375.0]], ('14:15:33', 0.9492079615592957)], [[[233.0, 367.0], [373.0, 377.0], [371.0, 402.0], [231.0, 392.0]], ('Entry Method:', 0.9612497091293335)], [[[421.0, 379.0], [464.0, 384.0], [461.0, 407.0], [418.0, 402.0]], ('Chip', 0.9981887340545654)], [[[40.0, 389.0], [116.0, 393.0], [115.0, 416.0], [39.0, 412.0]], ('CARD#', 0.9920307993888855)], [[[296.0, 397.0], [436.0, 406.0], [434.0, 430.0], [294.0, 421.0]], ('XXXXXXXXXXX', 0.6168819665908813)], [[[39.0, 415.0], [126.0, 419.0], [125.0, 442.0], [38.0, 438.0]], ('PURCHASE', 0.9969912767410278)], [[[226.0, 423.0], [331.0, 427.0], [330.0, 450.0], [225.0, 446.0]], ('APPROVED', 0.9880491495132446)], [[[40.0, 442.0], [210.0, 449.0], [209.0, 471.0], [39.0, 464.0]], ('AUTH C0DE:06178I', 0.9164069890975952)], [[[37.0, 493.0], [93.0, 496.0], [92.0, 520.0], [36.0, 517.0]], ('Mode:', 0.9867051839828491)], [[[399.0, 505.0], [464.0, 508.0], [463.0, 530.0], [398.0, 528.0]], ('Issuer', 0.9989417195320129)], [[[37.0, 522.0], [83.0, 522.0], [83.0, 546.0], [37.0, 546.0]], ('AID:', 0.9704720377922058)], [[[316.0, 530.0], [462.0, 533.0], [461.0, 554.0], [316.0, 551.0]], ('A0000000031010', 0.9981557726860046)], [[[38.0, 545.0], [83.0, 550.0], [80.0, 574.0], [35.0, 569.0]], ('TVR:', 0.9756635427474976)], [[[356.0, 555.0], [461.0, 559.0], [460.0, 580.0], [355.0, 577.0]], ('0000008000', 0.9985122680664062)], [[[38.0, 571.0], [83.0, 575.0], [80.0, 599.0], [36.0, 595.0]], ('IAD:', 0.961365818977356)], [[[314.0, 580.0], [460.0, 583.0], [459.0, 604.0], [314.0, 601.0]], ('06010A03602002', 0.9964439272880554)], [[[39.0, 599.0], [85.0, 599.0], [85.0, 622.0], [39.0, 622.0]], ('TSI:', 0.9304057359695435)], [[[110.0, 599.0], [158.0, 601.0], [156.0, 624.0], [108.0, 621.0]], ('F800', 0.9958429336547852)], [[[344.0, 605.0], [435.0, 605.0], [435.0, 627.0], [344.0, 627.0]], ('ARC', 0.994921863079071)], [[[433.0, 608.0], [459.0, 608.0], [459.0, 628.0], [433.0, 628.0]], ('00', 0.9748513102531433)], [[[40.0, 622.0], [158.0, 625.0], [157.0, 647.0], [39.0, 644.0]], ('MID369011', 0.9954404830932617)], [[[198.0, 624.0], [283.0, 626.0], [283.0, 648.0], [198.0, 646.0]], ('TID:001', 0.930637001991272)], [[[342.0, 626.0], [457.0, 629.0], [456.0, 651.0], [341.0, 648.0]], ('RRN:101001', 0.9498369097709656)], [[[64.0, 649.0], [148.0, 649.0], [148.0, 667.0], [64.0, 667.0]], ('SubTotal', 0.9936990737915039)], [[[321.0, 648.0], [456.0, 651.0], [455.0, 673.0], [320.0, 670.0]], ('USD$15.00', 0.9845072627067566)], [[[116.0, 690.0], [152.0, 690.0], [152.0, 716.0], [116.0, 716.0]], ('Tip', 0.9768343567848206)], [[[319.0, 687.0], [456.0, 683.0], [457.0, 712.0], [320.0, 716.0]], ('USD$2.00', 0.8289487361907959)], [[[94.0, 742.0], [147.0, 742.0], [147.0, 766.0], [94.0, 766.0]], ('Total', 0.9958782196044922)], [[[316.0, 734.0], [456.0, 726.0], [458.0, 763.0], [318.0, 770.0]], ('USD$7.', 0.9434266090393066)], [[[42.0, 815.0], [145.0, 818.0], [144.0, 840.0], [41.0, 837.0]], ('Signature:', 0.991705060005188)], [[[187.0, 887.0], [319.0, 891.0], [319.0, 913.0], [186.0, 909.0]], ('CUSTOMER COPY', 0.9704272747039795)], [[[197.0, 933.0], [297.0, 937.0], [296.0, 959.0], [197.0, 955.0]], ('THANK YOU!', 0.9326936602592468)]]	{"store_name": "CaliforniaPizzaKitchen#240", "store_addr": "1200MorrisTurnpike ShortHills,NJ07078", "telephone": "(973)379-3700", "date": "04/21/2018", "time": "14:15:33", "subtotal": "15.00", "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	[[[[121.0, 48.0], [194.0, 45.0], [194.0, 59.0], [121.0, 62.0]], ('TEQUILA', 0.9413349032402039)], [[[124.0, 60.0], [195.0, 57.0], [196.0, 71.0], [124.0, 75.0]], ('TEXEx', 0.6551316976547241)], [[[102.0, 73.0], [223.0, 65.0], [224.0, 79.0], [103.0, 87.0]], ('19-210ATE', 0.8355072140693665)], [[[121.0, 83.0], [202.0, 78.0], [203.0, 92.0], [121.0, 97.0]], ('LOMOONSBESEL', 0.5340737700462341)], [[[209.0, 99.0], [240.0, 99.0], [240.0, 114.0], [209.0, 114.0]], ('MC#', 0.8549545407295227)], [[[131.0, 114.0], [226.0, 111.0], [227.0, 125.0], [132.0, 128.0]], ('16-07-2018.20:03', 0.8716710805892944)], [[[256.0, 108.0], [285.0, 108.0], [285.0, 123.0], [256.0, 123.0]], ('9767', 0.870415210723877)], [[[54.0, 118.0], [114.0, 113.0], [115.0, 127.0], [55.0, 132.0]], ('REG0013', 0.7037612795829773)], [[[54.0, 130.0], [130.0, 130.0], [130.0, 144.0], [54.0, 144.0]], ('CHECK9', 0.8947286009788513)], [[[67.0, 154.0], [121.0, 154.0], [121.0, 168.0], [67.0, 168.0]], ('10/KE', 0.6334189176559448)], [[[235.0, 148.0], [264.0, 145.0], [265.0, 161.0], [236.0, 164.0]], ('2.50', 0.8777731657028198)], [[[67.0, 170.0], [82.0, 170.0], [82.0, 178.0], [67.0, 178.0]], ('1', 0.5253381133079529)], [[[81.0, 169.0], [118.0, 169.0], [118.0, 180.0], [81.0, 180.0]], ('FANTS.', 0.8441235423088074)], [[[234.0, 161.0], [265.0, 158.0], [266.0, 174.0], [235.0, 177.0]], ('2.60', 0.9939430952072144)], [[[63.0, 179.0], [167.0, 176.0], [167.0, 193.0], [64.0, 196.0]], ('1PASSION COOLER', 0.8703976273536682)], [[[237.0, 176.0], [267.0, 176.0], [267.0, 191.0], [237.0, 191.0]], ('5.25', 0.9726304411888123)], [[[65.0, 197.0], [75.0, 197.0], [75.0, 205.0], [65.0, 205.0]], ('1', 0.657107949256897)], [[[78.0, 194.0], [161.0, 194.0], [161.0, 207.0], [78.0, 207.0]], ('GUACAMGLE&TOR', 0.8102859258651733)], [[[237.0, 190.0], [267.0, 190.0], [267.0, 205.0], [237.0, 205.0]], ('4.50', 0.9945531487464905)], [[[61.0, 223.0], [185.0, 221.0], [185.0, 234.0], [62.0, 236.0]], ('1TEX NEX FAVORITES', 0.8859561085700989)], [[[238.0, 219.0], [269.0, 219.0], [269.0, 234.0], [238.0, 234.0]], ('8.00', 0.9923007488250732)], [[[60.0, 237.0], [185.0, 236.0], [185.0, 250.0], [61.0, 251.0]], ('TEX MEX FAVORITES', 0.893334150314331)], [[[239.0, 235.0], [270.0, 235.0], [270.0, 250.0], [239.0, 250.0]], ('8.00', 0.9780805110931396)], [[[77.0, 252.0], [190.0, 252.0], [190.0, 265.0], [77.0, 265.0]], ('SURRITO CHKN TNG', 0.736660361289978)], [[[239.0, 250.0], [271.0, 250.0], [271.0, 267.0], [239.0, 267.0]], ('9.00', 0.9724233746528625)], [[[78.0, 267.0], [188.0, 267.0], [188.0, 280.0], [78.0, 280.0]], ('MAINS AHAY=', 0.7657806277275085)], [[[75.0, 282.0], [134.0, 282.0], [134.0, 296.0], [75.0, 296.0]], ('LRG STILL', 0.9205827713012695)], [[[241.0, 281.0], [273.0, 281.0], [273.0, 298.0], [241.0, 298.0]], ('3.95', 0.9921140670776367)], [[[74.0, 297.0], [180.0, 297.0], [180.0, 311.0], [74.0, 311.0]], ('CREPA DE PLATANO', 0.8724825978279114)], [[[241.0, 296.0], [275.0, 296.0], [275.0, 314.0], [241.0, 314.0]], ('4.75', 0.9914291501045227)], [[[72.0, 313.0], [211.0, 313.0], [211.0, 327.0], [72.0, 327.0]], ('TOFFEE PODD/ICE CREA', 0.8481020927429199)], [[[243.0, 311.0], [276.0, 311.0], [276.0, 330.0], [243.0, 330.0]], ('4.75', 0.9850096702575684)], [[[67.0, 329.0], [133.0, 329.0], [133.0, 347.0], [67.0, 347.0]], ('PECAN PE', 0.9407079219818115)], [[[245.0, 329.0], [278.0, 329.0], [278.0, 348.0], [245.0, 348.0]], ('4.50', 0.9881653785705566)], [[[177.0, 347.0], [214.0, 347.0], [214.0, 365.0], [177.0, 365.0]], ('13N', 0.9684306979179382)], [[[70.0, 360.0], [169.0, 364.0], [169.0, 382.0], [70.0, 379.0]], ('SERVICE CHARGE', 0.8937163352966309)], [[[247.0, 361.0], [281.0, 364.0], [279.0, 384.0], [245.0, 381.0]], ('7.23', 0.9868293404579163)], [[[61.0, 377.0], [115.0, 381.0], [113.0, 399.0], [60.0, 395.0]], ('SRVC TL', 0.8952874541282654)], [[[205.0, 382.0], [280.0, 384.0], [279.0, 402.0], [204.0, 400.0]], ('65.13', 0.9916175007820129)], [[[8.0, 412.0], [26.0, 412.0], [26.0, 429.0], [8.0, 429.0]], ('JR', 0.6686069965362549)]]	{"store_name": "TEQUILA TEX-MEX", "store_addr": "", "telephone": "", "date": "16-07-2018", "time": "23:03", "subtotal": "", "tax": "", "total": "65.13", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "TEXMEXFAVORITES", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TEXMEXFAVORITES", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FANTA", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.25", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.60", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[109.0, 0.0], [262.0, 0.0], [262.0, 14.0], [109.0, 14.0]], ('MEXICAN FOOD', 0.9560995101928711)], [[[121.0, 37.0], [242.0, 35.0], [242.0, 51.0], [122.0, 53.0]], ('2525EL CAMI0 REAL', 0.8999896049499512)], [[[116.0, 55.0], [257.0, 54.0], [257.0, 71.0], [116.0, 72.0]], ('REDWO0D CITY.CA 94051', 0.8782099485397339)], [[[100.0, 74.0], [277.0, 73.0], [277.0, 90.0], [100.0, 91.0]], ('650216-9206', 0.9910584092140198)], [[[220.0, 111.0], [274.0, 111.0], [274.0, 128.0], [220.0, 128.0]], ('REG1', 0.9843366742134094)], [[[46.0, 129.0], [200.0, 122.0], [201.0, 142.0], [47.0, 149.0]], ('REG CASHIER 09-16-2015', 0.9385280013084412)], [[[259.0, 129.0], [303.0, 129.0], [303.0, 146.0], [259.0, 146.0]], ('010019', 0.9979855418205261)], [[[70.0, 167.0], [90.0, 164.0], [91.0, 174.0], [71.0, 177.0]], ('1', 0.7753310203552246)], [[[84.0, 161.0], [182.0, 158.0], [182.0, 175.0], [84.0, 178.0]], ('REGULAR BURRITO', 0.9647013545036316)], [[[239.0, 163.0], [275.0, 163.0], [275.0, 182.0], [239.0, 182.0]], ('$6.25', 0.9893817901611328)], [[[93.0, 178.0], [163.0, 174.0], [164.0, 190.0], [94.0, 195.0]], ('POLLO ASADO', 0.9224904775619507)], [[[95.0, 196.0], [118.0, 196.0], [118.0, 211.0], [95.0, 211.0]], ('HOT', 0.9929137825965881)], [[[95.0, 211.0], [153.0, 207.0], [154.0, 224.0], [96.0, 228.0]], ('EVERTHING', 0.9877064824104309)], [[[54.0, 225.0], [140.0, 224.0], [140.0, 239.0], [54.0, 240.0]], ('ORD66', 0.9500024914741516)], [[[91.0, 237.0], [173.0, 242.0], [172.0, 258.0], [90.0, 254.0]], ('TO GO', 0.857566773891449)], [[[92.0, 254.0], [158.0, 257.0], [158.0, 274.0], [91.0, 271.0]], ('TAXABLE AMT', 0.9593729376792908)], [[[90.0, 271.0], [111.0, 271.0], [111.0, 288.0], [90.0, 288.0]], ('TAX', 0.9953913688659668)], [[[226.0, 263.0], [262.0, 263.0], [262.0, 282.0], [226.0, 282.0]], ('$6.25', 0.866747260093689)], [[[89.0, 287.0], [121.0, 287.0], [121.0, 305.0], [89.0, 305.0]], ('TOTAL', 0.9976269006729126)], [[[224.0, 282.0], [260.0, 282.0], [260.0, 301.0], [224.0, 301.0]], ('$0.56', 0.9770347476005554)], [[[87.0, 302.0], [125.0, 306.0], [123.0, 325.0], [85.0, 321.0]], ('CREDIT', 0.9971206784248352)], [[[197.0, 296.0], [258.0, 301.0], [257.0, 319.0], [195.0, 314.0]], ('$6.81', 0.9922612905502319)], [[[226.0, 318.0], [263.0, 318.0], [263.0, 337.0], [226.0, 337.0]], ('$6.81', 0.9869178533554077)]]	{"store_name": "MEXICANFOOD", "store_addr": "2525ELCAMINOREAL REDWOODCITY,CA94061", "telephone": "(650)216-9206", "date": "09-16-2015", "time": "", "subtotal": "$6.25", "tax": "$0.56", "total": "$6.81", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "REGULARBURRITO", "item_value": "$6.25", "item_quantity": "1"}, {"item_key": "", "item_name": "POLLOASADO", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "HOT", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "EVERTHING", "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, 5.0], [151.0, 0.0], [153.0, 11.0], [86.0, 19.0]], ('Store FGUK0710', 0.8574661016464233)], [[[94.0, 10.0], [147.0, 7.0], [148.0, 21.0], [94.0, 24.0]], ('Lower Mal1', 0.7869335412979126)], [[[82.0, 21.0], [157.0, 16.0], [158.0, 30.0], [83.0, 35.0]], ('estfleld London', 0.9014842510223389)], [[[77.0, 39.0], [161.0, 32.0], [163.0, 49.0], [78.0, 56.0]], ('Order #20', 0.8923296332359314)], [[[24.0, 64.0], [86.0, 60.0], [87.0, 74.0], [25.0, 78.0]], ('Host:Janico', 0.7837474346160889)], [[[166.0, 55.0], [218.0, 48.0], [220.0, 62.0], [168.0, 69.0]], ('21/08/2015', 0.9747578501701355)], [[[175.0, 65.0], [219.0, 60.0], [221.0, 74.0], [177.0, 79.0]], ('11:25AM', 0.9100099802017212)], [[[25.0, 75.0], [69.0, 75.0], [69.0, 86.0], [25.0, 86.0]], ('Order #20', 0.9001944065093994)], [[[191.0, 74.0], [220.0, 71.0], [222.0, 85.0], [193.0, 88.0]], ('10007', 0.9983574151992798)], [[[199.0, 96.0], [223.0, 96.0], [223.0, 108.0], [199.0, 108.0]], ('8.00', 0.9670240879058838)], [[[26.0, 106.0], [38.0, 106.0], [38.0, 116.0], [26.0, 116.0]], ('C6', 0.6255804896354675)], [[[33.0, 116.0], [65.0, 116.0], [65.0, 130.0], [33.0, 130.0]], ('TOMATO', 0.9855877757072449)], [[[34.0, 129.0], [61.0, 129.0], [61.0, 140.0], [34.0, 140.0]], ('NOINO', 0.9232048988342285)], [[[34.0, 139.0], [73.0, 139.0], [73.0, 150.0], [34.0, 150.0]], ('MUSHROOM', 0.9845302104949951)], [[[34.0, 150.0], [70.0, 150.0], [70.0, 161.0], [34.0, 161.0]], ('LETTUCE', 0.9922727942466736)], [[[22.0, 161.0], [109.0, 155.0], [110.0, 168.0], [23.0, 174.0]], ('Litt le Cajun Fries', 0.9071515798568726)], [[[199.0, 152.0], [225.0, 149.0], [227.0, 164.0], [201.0, 167.0]], ('2.75', 0.9951644539833069)], [[[21.0, 173.0], [46.0, 173.0], [46.0, 184.0], [21.0, 184.0]], ('Soda', 0.9895749092102051)], [[[201.0, 164.0], [226.0, 164.0], [226.0, 179.0], [201.0, 179.0]], ('2.50', 0.9756240844726562)], [[[23.0, 185.0], [38.0, 185.0], [38.0, 195.0], [23.0, 195.0]], ('.93', 0.6713025569915771)], [[[203.0, 177.0], [225.0, 177.0], [225.0, 189.0], [203.0, 189.0]], ('8.00', 0.9951355457305908)], [[[29.0, 194.0], [85.0, 189.0], [86.0, 204.0], [30.0, 208.0]], ('ALL THE MAY', 0.9119636416435242)], [[[21.0, 204.0], [96.0, 203.0], [96.0, 217.0], [21.0, 218.0]], ('Five Guys Fries', 0.9130840301513672)], [[[203.0, 199.0], [228.0, 199.0], [228.0, 214.0], [203.0, 214.0]], ('4.00', 0.9953265190124512)], [[[23.0, 217.0], [44.0, 217.0], [44.0, 228.0], [23.0, 228.0]], ('Soda', 0.9684346914291382)], [[[204.0, 213.0], [228.0, 213.0], [228.0, 225.0], [204.0, 225.0]], ('2.50', 0.9923206567764282)], [[[22.0, 240.0], [62.0, 240.0], [62.0, 251.0], [22.0, 251.0]], ('Subtotal', 0.922187328338623)], [[[200.0, 236.0], [230.0, 236.0], [230.0, 250.0], [200.0, 250.0]], ('23.12', 0.9836463928222656)], [[[19.0, 275.0], [67.0, 275.0], [67.0, 289.0], [19.0, 289.0]], ('Total Tax', 0.9070003032684326)], [[[208.0, 272.0], [232.0, 272.0], [232.0, 287.0], [208.0, 287.0]], ('4.63', 0.9582815170288086)], [[[18.0, 313.0], [148.0, 313.0], [148.0, 326.0], [18.0, 326.0]], ('Current Total', 0.9739602208137512)], [[[178.0, 311.0], [232.0, 311.0], [232.0, 325.0], [178.0, 325.0]], ('27.75', 0.9969732165336609)], [[[17.0, 340.0], [70.0, 340.0], [70.0, 354.0], [17.0, 354.0]], ('Cred Cards', 0.9710456132888794)], [[[194.0, 338.0], [234.0, 338.0], [234.0, 353.0], [194.0, 353.0]], ('27.75', 0.9792629480361938)], [[[25.0, 352.0], [96.0, 355.0], [96.0, 369.0], [25.0, 366.0]], ('Auth:Accepted', 0.9740371108055115)], [[[15.0, 390.0], [60.0, 393.0], [59.0, 407.0], [15.0, 405.0]], ('VAT RATE', 0.970549464225769)], [[[14.0, 404.0], [143.0, 409.0], [142.0, 424.0], [14.0, 419.0]], ('20%NET23.12VAT4.63', 0.9670471549034119)], [[[109.0, 436.0], [142.0, 436.0], [142.0, 447.0], [109.0, 447.0]], ('******', 0.7878932356834412)]]	{"store_name": "", "store_addr": "LowerNall StoreFGUK0710", "telephone": "", "date": "21/08/2015", "time": "11:25AM", "subtotal": "23.12", "tax": "20%NET:23.12VAT:4.63 4.63", "total": "27.75", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CB", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TOMATO", "item_value": "2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "ONION", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "MUSHROOM", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LETTUCE", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LittleCajunFries", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Soda", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CB", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ALLTHEMAY", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FiveGuysFries", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Soda", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[155.0, 97.0], [399.0, 99.0], [399.0, 122.0], [154.0, 119.0]], ('Med Bistro', 0.9500004649162292)], [[[154.0, 129.0], [255.0, 129.0], [255.0, 151.0], [154.0, 151.0]], ('Chk#', 0.9599087238311768)], [[[278.0, 128.0], [399.0, 130.0], [399.0, 153.0], [277.0, 150.0]], ('3025', 0.9955997467041016)], [[[106.0, 159.0], [452.0, 162.0], [451.0, 185.0], [105.0, 181.0]], ('Flavors of the Mediterranean', 0.9523802399635315)], [[[106.0, 189.0], [436.0, 191.0], [436.0, 216.0], [105.0, 213.0]], ('Newark Liberty Int1 Airport', 0.9514180421829224)], [[[139.0, 222.0], [401.0, 222.0], [401.0, 244.0], [139.0, 244.0]], ('Termina1 B Food Court', 0.9104669690132141)], [[[44.0, 282.0], [202.0, 282.0], [202.0, 304.0], [44.0, 304.0]], ('8021 Kadidiat', 0.9565140604972839)], [[[30.0, 341.0], [132.0, 341.0], [132.0, 368.0], [30.0, 368.0]], ('Chk 3025', 0.9377037286758423)], [[[242.0, 343.0], [441.0, 343.0], [441.0, 369.0], [242.0, 369.0]], ('Jun151503:45PM', 0.9744457602500916)], [[[83.0, 402.0], [278.0, 404.0], [277.0, 430.0], [83.0, 428.0]], ('For Here', 0.9384996891021729)], [[[61.0, 436.0], [255.0, 436.0], [255.0, 459.0], [61.0, 459.0]], ('1 Car-Beet Juice', 0.9520044922828674)], [[[436.0, 434.0], [493.0, 434.0], [493.0, 463.0], [436.0, 463.0]], ('5.00', 0.9978368282318115)], [[[61.0, 467.0], [278.0, 467.0], [278.0, 490.0], [61.0, 490.0]], ('1Hommous/Tabbou1i', 0.9632748961448669)], [[[438.0, 465.0], [493.0, 465.0], [493.0, 493.0], [438.0, 493.0]], ('4.99', 0.9969509243965149)], [[[107.0, 497.0], [269.0, 497.0], [269.0, 519.0], [107.0, 519.0]], ('Sandwich ONLY', 0.9615417718887329)], [[[78.0, 525.0], [136.0, 525.0], [136.0, 553.0], [78.0, 553.0]], ('CASH', 0.9977970719337463)], [[[428.0, 524.0], [495.0, 524.0], [495.0, 555.0], [428.0, 555.0]], ('10.69', 0.9930174946784973)], [[[77.0, 586.0], [133.0, 586.0], [133.0, 614.0], [77.0, 614.0]], ('FOOD', 0.9952396154403687)], [[[437.0, 587.0], [493.0, 587.0], [493.0, 615.0], [437.0, 615.0]], ('9.99', 0.9960967302322388)], [[[76.0, 618.0], [122.0, 618.0], [122.0, 646.0], [76.0, 646.0]], ('TAX', 0.9956986308097839)], [[[437.0, 619.0], [493.0, 619.0], [493.0, 646.0], [437.0, 646.0]], ('0.70', 0.9969611763954163)], [[[77.0, 649.0], [166.0, 649.0], [166.0, 675.0], [77.0, 675.0]], ('PAYMENT', 0.9940520524978638)], [[[370.0, 651.0], [490.0, 651.0], [490.0, 676.0], [370.0, 676.0]], ('10.69', 0.9934996366500854)], [[[205.0, 713.0], [325.0, 713.0], [325.0, 735.0], [205.0, 735.0]], ('THANK YOU!', 0.9118813276290894)], [[[141.0, 743.0], [386.0, 743.0], [386.0, 766.0], [141.0, 766.0]], ('Have a safe flight!!', 0.9079841375350952)], [[[82.0, 773.0], [404.0, 773.0], [404.0, 798.0], [82.0, 798.0]], ('www.midfieldconcession.com', 0.9700596332550049)], [[[120.0, 803.0], [413.0, 803.0], [413.0, 828.0], [120.0, 828.0]], ('Telephone:734.727.0055', 0.9749546051025391)]]	{"store_name": "MedBistro", "store_addr": "NewarkLibertyIntlAirport TerminalBFoodCourt", "telephone": "734.727.0055", "date": "Jun15'15", "time": "03:45PM", "subtotal": "9.99", "tax": "0.70", "total": "10.69", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Car-BeetJuice", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Hommous/Tabbouli", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SandwichONLY", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[164.0, 245.0], [400.0, 237.0], [401.0, 264.0], [165.0, 272.0]], ('NIKE Factory Store', 0.9526914954185486)], [[[230.0, 278.0], [336.0, 276.0], [337.0, 302.0], [231.0, 304.0]], ('San Jose', 0.9540982246398926)], [[[117.0, 314.0], [472.0, 308.0], [472.0, 334.0], [117.0, 340.0]], ('1600 Saratoga Ave Suite #213', 0.9594108462333679)], [[[178.0, 346.0], [405.0, 344.0], [405.0, 369.0], [178.0, 371.0]], ('San JoseCA 95129', 0.9281021356582642)], [[[150.0, 378.0], [444.0, 379.0], [444.0, 401.0], [150.0, 400.0]], ('Telephone:408374-4147', 0.9511521458625793)], [[[59.0, 500.0], [327.0, 502.0], [327.0, 524.0], [59.0, 522.0]], ('WMNS NIKE FREE TR FIT 3', 0.9188819527626038)], [[[487.0, 509.0], [567.0, 509.0], [567.0, 532.0], [487.0, 532.0]], ('51.97T', 0.9304368495941162)], [[[74.0, 530.0], [212.0, 530.0], [212.0, 551.0], [74.0, 551.0]], ('887223004394', 0.997499942779541)], [[[65.0, 589.0], [158.0, 586.0], [159.0, 608.0], [65.0, 611.0]], ('Subtotal', 0.9917821288108826)], [[[488.0, 600.0], [566.0, 600.0], [566.0, 623.0], [488.0, 623.0]], ('$51.97', 0.9933671355247498)], [[[67.0, 616.0], [163.0, 616.0], [163.0, 641.0], [67.0, 641.0]], ('Item Tax', 0.9437731504440308)], [[[513.0, 630.0], [565.0, 630.0], [565.0, 650.0], [513.0, 650.0]], ('4.55', 0.9946229457855225)], [[[69.0, 646.0], [129.0, 646.0], [129.0, 669.0], [69.0, 669.0]], ('Total', 0.9976136088371277)], [[[488.0, 657.0], [565.0, 657.0], [565.0, 679.0], [488.0, 679.0]], ('$56.52', 0.9965288043022156)], [[[82.0, 784.0], [129.0, 787.0], [128.0, 807.0], [81.0, 804.0]], ('Visa', 0.9970510005950928)], [[[489.0, 783.0], [561.0, 783.0], [561.0, 805.0], [489.0, 805.0]], ('$56.52', 0.984132707118988)], [[[106.0, 811.0], [265.0, 804.0], [266.0, 828.0], [107.0, 835.0]], ('Card No.XXXx', 0.7878649830818176)], [[[400.0, 811.0], [434.0, 811.0], [434.0, 831.0], [400.0, 831.0]], ('(S>', 0.8675124049186707)], [[[107.0, 838.0], [196.0, 833.0], [197.0, 856.0], [109.0, 861.0]], ('Auth.N', 0.9024555683135986)], [[[303.0, 918.0], [403.0, 918.0], [403.0, 936.0], [303.0, 936.0]], ('4/30/2014', 0.9748513102531433)], [[[435.0, 917.0], [560.0, 917.0], [560.0, 938.0], [435.0, 938.0]], ('Time:19:09', 0.937069296836853)], [[[280.0, 940.0], [371.0, 944.0], [370.0, 967.0], [279.0, 963.0]], ('Reg:003', 0.9069616198539734)], [[[436.0, 945.0], [561.0, 945.0], [561.0, 966.0], [436.0, 966.0]], ('Tran:22219', 0.9623551368713379)]]	{"store_name": "NIKEFactoryStore", "store_addr": "SanJose 1600SaratogaAveSuite#213 SanJose,CA95129", "telephone": "(408)374-4147", "date": "4/30/2014", "time": "19:09", "subtotal": "$51.97", "tax": "4.55", "total": "$56.52 $56.52", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "WMNSNIKEFREETRFIT3", "item_value": "51.97", "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	[[[[89.0, 34.0], [239.0, 32.0], [239.0, 60.0], [90.0, 62.0]], ('igngu my sos', 0.542345404624939)], [[[83.0, 66.0], [238.0, 69.0], [238.0, 86.0], [82.0, 83.0]], ('Khmer Grill Coffee and Bakery', 0.9554123878479004)], [[[130.0, 90.0], [196.0, 90.0], [196.0, 104.0], [130.0, 104.0]], ('85585839899', 0.9699527621269226)], [[[84.0, 106.0], [236.0, 109.0], [236.0, 126.0], [83.0, 123.0]], ('Wat Damnk Vlage Sim Reep own.', 0.8162302374839783)], [[[50.0, 128.0], [128.0, 128.0], [128.0, 142.0], [50.0, 142.0]], ('Invoice:00021291', 0.9554566144943237)], [[[161.0, 129.0], [270.0, 129.0], [270.0, 142.0], [161.0, 142.0]], ('Date28an-2017 12:39 PM', 0.8848894238471985)], [[[49.0, 146.0], [100.0, 146.0], [100.0, 163.0], [49.0, 163.0]], ('Table:T04', 0.9087486267089844)], [[[223.0, 148.0], [270.0, 148.0], [270.0, 162.0], [223.0, 162.0]], ('Guest No:2', 0.9126275181770325)], [[[51.0, 166.0], [87.0, 166.0], [87.0, 181.0], [51.0, 181.0]], ('Cashier:', 0.9358466863632202)], [[[147.0, 168.0], [197.0, 168.0], [197.0, 179.0], [147.0, 179.0]], ('Ordor:admin', 0.908085286617279)], [[[220.0, 167.0], [271.0, 167.0], [271.0, 178.0], [220.0, 178.0]], ('Create:admin', 0.9138333201408386)], [[[52.0, 187.0], [95.0, 187.0], [95.0, 201.0], [52.0, 201.0]], ('Customer:', 0.9826990962028503)], [[[56.0, 214.0], [109.0, 214.0], [109.0, 228.0], [56.0, 228.0]], ('Description', 0.994695246219635)], [[[161.0, 209.0], [213.0, 206.0], [214.0, 223.0], [162.0, 226.0]], ('Qty Price', 0.8892456889152527)], [[[214.0, 212.0], [231.0, 207.0], [234.0, 219.0], [217.0, 224.0]], ('%', 0.8935748338699341)], [[[241.0, 205.0], [271.0, 205.0], [271.0, 221.0], [241.0, 221.0]], ('Total', 0.9885317087173462)], [[[55.0, 234.0], [150.0, 230.0], [151.0, 244.0], [55.0, 248.0]], ('Beef Loklak with Rice', 0.9099959135055542)], [[[190.0, 228.0], [213.0, 228.0], [213.0, 243.0], [190.0, 243.0]], ('3.00', 0.9837534427642822)], [[[225.0, 229.0], [233.0, 229.0], [233.0, 240.0], [225.0, 240.0]], ('0', 0.6047749519348145)], [[[257.0, 227.0], [279.0, 227.0], [279.0, 239.0], [257.0, 239.0]], ('3.00', 0.9893600940704346)], [[[55.0, 252.0], [122.0, 249.0], [123.0, 264.0], [55.0, 267.0]], ('Grill Pork Ribs', 0.892413318157196)], [[[190.0, 246.0], [215.0, 246.0], [215.0, 261.0], [190.0, 261.0]], ('3.00', 0.9881067872047424)], [[[225.0, 245.0], [236.0, 245.0], [236.0, 259.0], [225.0, 259.0]], ('0.', 0.6837320923805237)], [[[258.0, 243.0], [282.0, 240.0], [284.0, 256.0], [260.0, 259.0]], ('3.00', 0.9758247137069702)], [[[172.0, 268.0], [181.0, 268.0], [181.0, 278.0], [172.0, 278.0]], ('1', 0.8765777349472046)], [[[193.0, 264.0], [217.0, 264.0], [217.0, 279.0], [193.0, 279.0]], ('1.00', 0.9876506328582764)], [[[228.0, 263.0], [239.0, 263.0], [239.0, 277.0], [228.0, 277.0]], ('0', 0.6250601410865784)], [[[262.0, 260.0], [286.0, 260.0], [286.0, 275.0], [262.0, 275.0]], ('1.00', 0.9900232553482056)], [[[53.0, 271.0], [156.0, 266.0], [157.0, 283.0], [54.0, 289.0]], ('Mango/Banana Shake', 0.9397528767585754)], [[[194.0, 282.0], [220.0, 282.0], [220.0, 298.0], [194.0, 298.0]], ('3.00', 0.9875158071517944)], [[[266.0, 278.0], [289.0, 278.0], [289.0, 294.0], [266.0, 294.0]], ('3.00', 0.9770054221153259)], [[[53.0, 291.0], [120.0, 286.0], [121.0, 303.0], [55.0, 308.0]], ('Shrimp Salad', 0.9612931609153748)], [[[171.0, 289.0], [180.0, 284.0], [185.0, 295.0], [176.0, 299.0]], ('7', 0.6441536545753479)], [[[53.0, 312.0], [160.0, 305.0], [161.0, 321.0], [54.0, 328.0]], ('Shrimp.SaladSpicyS', 0.8617554903030396)], [[[54.0, 333.0], [78.0, 333.0], [78.0, 350.0], [54.0, 350.0]], ('our)', 0.9944174289703369)], [[[213.0, 341.0], [232.0, 341.0], [232.0, 358.0], [213.0, 358.0]], ('OR', 0.9941679239273071)], [[[277.0, 336.0], [301.0, 336.0], [301.0, 353.0], [277.0, 353.0]], ('0.00', 0.9892154932022095)], [[[53.0, 352.0], [103.0, 349.0], [104.0, 367.0], [53.0, 370.0]], ('Discount', 0.9344771504402161)], [[[216.0, 364.0], [235.0, 364.0], [235.0, 381.0], [216.0, 381.0]], ('OR', 0.9961155652999878)], [[[280.0, 360.0], [304.0, 360.0], [304.0, 376.0], [280.0, 376.0]], ('0.00', 0.8927670121192932)], [[[53.0, 376.0], [134.0, 371.0], [135.0, 389.0], [54.0, 393.0]], ('Service Charge', 0.9818173050880432)], [[[192.0, 389.0], [237.0, 386.0], [237.0, 405.0], [193.0, 407.0]], ('40,000R', 0.9784607887268066)], [[[267.0, 383.0], [308.0, 379.0], [310.0, 398.0], [269.0, 402.0]], ('$10.00', 0.9895005226135254)], [[[55.0, 400.0], [84.0, 400.0], [84.0, 416.0], [55.0, 416.0]], ('Total', 0.9979299306869507)], [[[152.0, 423.0], [213.0, 420.0], [213.0, 437.0], [153.0, 440.0]], ('Thanks You!', 0.9624190926551819)]]	{"store_name": "", "store_addr": "WetDamnekVillage,SiemReepTown.", "telephone": "(855)95839899", "date": "29Jan-2017", "time": "12:39PM", "subtotal": "", "tax": "", "total": "$10.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ShrimpSalad", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mango/BananaShake", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GrillPorkRibs", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefLoklakwithRice", "item_value": "3.00", "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	[[[[202.0, 121.0], [1067.0, 169.0], [1058.0, 331.0], [193.0, 283.0]], ('Wralgreens', 0.8152052164077759)], [[[662.0, 270.0], [983.0, 285.0], [981.0, 330.0], [660.0, 315.0]], ("There's a way", 0.9361578822135925)], [[[181.0, 332.0], [1026.0, 350.0], [1025.0, 398.0], [180.0, 381.0]], ("I'm ELvIs. Thank you for allowing me", 0.9117589592933655)], [[[182.0, 387.0], [629.0, 394.0], [628.0, 434.0], [181.0, 426.0]], ('to serve you today.', 0.9341872334480286)], [[[220.0, 466.0], [305.0, 466.0], [305.0, 522.0], [220.0, 522.0]], ('222', 0.9975996017456055)], [[[537.0, 469.0], [1055.0, 478.0], [1054.0, 531.0], [536.0, 522.0]], ('10858101897007', 0.9967452883720398)], [[[274.0, 561.0], [963.0, 569.0], [962.0, 612.0], [273.0, 604.0]], ('RFN#0189-7078-5816-1007-1120', 0.9769293069839478)], [[[225.0, 651.0], [656.0, 656.0], [656.0, 698.0], [224.0, 694.0]], ('NAB RTZ BTS CHS3OZ', 0.9143800735473633)], [[[888.0, 655.0], [1066.0, 655.0], [1066.0, 701.0], [888.0, 701.0]], ('50SALE', 0.9918041229248047)], [[[225.0, 698.0], [658.0, 703.0], [657.0, 747.0], [224.0, 742.0]], ('NAB RTZ BTS CHS30Z', 0.9019708633422852)], [[[885.0, 702.0], [1069.0, 702.0], [1069.0, 748.0], [885.0, 748.0]], ('.50SALE', 0.9716926217079163)], [[[270.0, 751.0], [541.0, 751.0], [541.0, 795.0], [270.0, 795.0]], ('1@2/1.00', 0.9765360355377197)], [[[226.0, 801.0], [660.0, 801.0], [660.0, 843.0], [226.0, 843.0]], ('NAB RTZ BTS CHS3OZ', 0.927021861076355)], [[[895.0, 795.0], [1073.0, 795.0], [1073.0, 840.0], [895.0, 840.0]], ('50SALE', 0.9924024939537048)], [[[226.0, 850.0], [657.0, 850.0], [657.0, 889.0], [226.0, 889.0]], ('NAB RTZ BTSCHS30Z', 0.8938485980033875)], [[[892.0, 842.0], [1079.0, 842.0], [1079.0, 892.0], [892.0, 892.0]], ('.50SALE', 0.9525104761123657)], [[[273.0, 897.0], [544.0, 897.0], [544.0, 941.0], [273.0, 941.0]], ('1@2/1.00', 0.9831430315971375)], [[[272.0, 947.0], [521.0, 947.0], [521.0, 991.0], [272.0, 991.0]], ('MFG COUPON', 0.9425269961357117)], [[[867.0, 939.0], [1083.0, 935.0], [1084.0, 985.0], [868.0, 988.0]], ('1.00-MFGC', 0.9839853644371033)], [[[270.0, 995.0], [521.0, 994.0], [521.0, 1039.0], [271.0, 1041.0]], ('MFG COUPON', 0.9375362396240234)], [[[870.0, 991.0], [1086.0, 991.0], [1086.0, 1035.0], [870.0, 1035.0]], ('1.00-MFGC', 0.9658592939376831)], [[[292.0, 1044.0], [422.0, 1044.0], [422.0, 1095.0], [292.0, 1095.0]], ('TOTAL', 0.9981635808944702)], [[[895.0, 1037.0], [973.0, 1037.0], [973.0, 1089.0], [895.0, 1089.0]], ('.00', 0.9863026738166809)], [[[1016.0, 1125.0], [1121.0, 1125.0], [1121.0, 1177.0], [1016.0, 1177.0]], ('1.96', 0.9954684972763062)], [[[220.0, 1140.0], [791.0, 1136.0], [791.0, 1179.0], [220.0, 1183.0]], ('WAG ADVERTISED SAVINGS:', 0.9431357383728027)], [[[1019.0, 1177.0], [1125.0, 1177.0], [1125.0, 1231.0], [1019.0, 1231.0]], ('2.00', 0.9971201419830322)], [[[220.0, 1193.0], [695.0, 1189.0], [695.0, 1231.0], [220.0, 1236.0]], ('MFG COUPON SAVINGS:', 0.9232381582260132)], [[[1019.0, 1277.0], [1130.0, 1272.0], [1133.0, 1331.0], [1022.0, 1337.0]], ('3.96', 0.9927672147750854)], [[[221.0, 1293.0], [693.0, 1290.0], [694.0, 1334.0], [222.0, 1337.0]], ('YOUR TOTAL SAVINGS:', 0.9140415191650391)]]	{"store_name": "Walgreens", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": ".00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NABRTZBTSCHS3OZ", "item_value": ".50", "item_quantity": "1"}, {"item_key": "", "item_name": "NABRTZBTSCHS3OZ", "item_value": ".50", "item_quantity": "1"}, {"item_key": "", "item_name": "NABRTZBTSCHS3OZ", "item_value": ".50", "item_quantity": "1"}, {"item_key": "", "item_name": "NABRTZBTSCHS3OZ", "item_value": ".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	[[[[206.0, 159.0], [424.0, 159.0], [424.0, 182.0], [206.0, 182.0]], ('WELCOMETO', 0.9927403330802917)], [[[158.0, 189.0], [444.0, 191.0], [444.0, 214.0], [158.0, 211.0]], ('BIENVENIDOSA', 0.984414279460907)], [[[183.0, 220.0], [444.0, 221.0], [444.0, 243.0], [183.0, 242.0]], ('SIOP BUYINC', 0.945390522480011)], [[[127.0, 279.0], [198.0, 279.0], [198.0, 305.0], [127.0, 305.0]], ('Descr.', 0.9611088633537292)], [[[333.0, 283.0], [370.0, 283.0], [370.0, 309.0], [333.0, 309.0]], ('qty', 0.9968276619911194)], [[[465.0, 284.0], [532.0, 284.0], [532.0, 308.0], [465.0, 308.0]], ('amount', 0.9937887787818909)], [[[128.0, 341.0], [248.0, 341.0], [248.0, 363.0], [128.0, 363.0]], ('UNLD CA #O7', 0.8908329010009766)], [[[333.0, 343.0], [401.0, 343.0], [401.0, 366.0], [333.0, 366.0]], ('5.228G', 0.9809734225273132)], [[[473.0, 342.0], [535.0, 342.0], [535.0, 368.0], [473.0, 368.0]], ('11.08', 0.9966065287590027)], [[[287.0, 369.0], [403.0, 373.0], [402.0, 399.0], [287.0, 395.0]], ('@2.119/G', 0.9562853574752808)], [[[191.0, 399.0], [311.0, 402.0], [310.0, 427.0], [191.0, 425.0]], ('Prepay Fuel', 0.9582555294036865)], [[[468.0, 400.0], [534.0, 403.0], [532.0, 430.0], [466.0, 427.0]], ('-50.00', 0.9393355250358582)], [[[286.0, 460.0], [387.0, 463.0], [387.0, 488.0], [286.0, 486.0]], ('Sub Total', 0.9569748640060425)], [[[467.0, 463.0], [531.0, 463.0], [531.0, 490.0], [467.0, 490.0]], ('-38.92', 0.9478458762168884)], [[[351.0, 491.0], [390.0, 494.0], [388.0, 519.0], [348.0, 516.0]], ('Tax', 0.995884120464325)], [[[482.0, 494.0], [530.0, 494.0], [530.0, 519.0], [482.0, 519.0]], ('0.00', 0.9950705170631409)], [[[228.0, 523.0], [325.0, 523.0], [325.0, 546.0], [228.0, 546.0]], ('IOIAL', 0.9663338661193848)], [[[415.0, 522.0], [527.0, 526.0], [526.0, 551.0], [414.0, 548.0]], ('38.92', 0.9923430681228638)], [[[339.0, 552.0], [422.0, 554.0], [422.0, 580.0], [338.0, 577.0]], ('CASH$', 0.9919530749320984)], [[[461.0, 554.0], [530.0, 554.0], [530.0, 581.0], [461.0, 581.0]], ('-38.92', 0.9680850505828857)], [[[202.0, 582.0], [416.0, 585.0], [415.0, 607.0], [202.0, 603.0]], ('THANKSFOR', 0.9947808384895325)], [[[179.0, 612.0], [429.0, 616.0], [428.0, 638.0], [179.0, 633.0]], ('STOPPINGBY', 0.9932805299758911)], [[[189.0, 642.0], [418.0, 646.0], [417.0, 667.0], [189.0, 663.0]], ('GRACIAS POR SU COMPRA', 0.9411838054656982)], [[[113.0, 670.0], [526.0, 679.0], [525.0, 701.0], [112.0, 692.0]], ('REG#0002 CSH#002 DR#01TRAN26796', 0.9186367392539978)], [[[113.0, 700.0], [309.0, 704.0], [308.0, 726.0], [112.0, 723.0]], ('11/08/1516:10:58', 0.9658353328704834)], [[[425.0, 706.0], [527.0, 709.0], [526.0, 733.0], [424.0, 729.0]], ('ST#AB123', 0.991399884223938)]]	{"store_name": "STOPBUYINC BIENVEN IDOSA", "store_addr": "", "telephone": "", "date": "11/08/15", "time": "16:10:58", "subtotal": "-38.92", "tax": "0.00", "total": "-38.92 -38.92", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "UNLDCA#07", "item_value": "11.08", "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, 75.0], [219.0, 75.0], [219.0, 88.0], [104.0, 88.0]], ('www.drips.com.sg', 0.9726712703704834)], [[[100.0, 87.0], [222.0, 87.0], [222.0, 100.0], [100.0, 100.0]], ('Tiong Bahru Estate', 0.9465188980102539)], [[[78.0, 99.0], [246.0, 97.0], [246.0, 111.0], [78.0, 114.0]], ('82 Tiong Poh Road #01-05', 0.940403938293457)], [[[103.0, 112.0], [219.0, 110.0], [220.0, 125.0], [103.0, 126.0]], ('Singapore 160082', 0.9384379386901855)], [[[116.0, 125.0], [209.0, 125.0], [209.0, 138.0], [116.0, 138.0]], ('Tel:62220400', 0.9637842774391174)], [[[33.0, 144.0], [97.0, 144.0], [97.0, 155.0], [33.0, 155.0]], ('ACT#4452', 0.9540398716926575)], [[[33.0, 157.0], [110.0, 157.0], [110.0, 168.0], [33.0, 168.0]], ('TERMINAL#1', 0.9912886619567871)], [[[247.0, 154.0], [293.0, 154.0], [293.0, 168.0], [247.0, 168.0]], ('ONLINE', 0.9967353940010071)], [[[32.0, 169.0], [120.0, 169.0], [120.0, 182.0], [32.0, 182.0]], ('20/08/12(MON)', 0.9701461791992188)], [[[161.0, 168.0], [196.0, 168.0], [196.0, 182.0], [161.0, 182.0]], ('12:46', 0.8949998021125793)], [[[32.0, 182.0], [106.0, 182.0], [106.0, 193.0], [32.0, 193.0]], ('STAFF: Alfred', 0.8797785639762878)], [[[29.0, 203.0], [64.0, 203.0], [64.0, 214.0], [29.0, 214.0]], ('Latte', 0.9911649823188782)], [[[216.0, 200.0], [229.0, 200.0], [229.0, 214.0], [216.0, 214.0]], ('2', 0.9672031402587891)], [[[258.0, 199.0], [296.0, 199.0], [296.0, 213.0], [258.0, 213.0]], ('$9.60', 0.9895801544189453)], [[[55.0, 215.0], [129.0, 215.0], [129.0, 226.0], [55.0, 226.0]], ('SKINNY.B2', 0.9493085145950317)], [[[26.0, 227.0], [165.0, 226.0], [165.0, 240.0], [26.0, 241.0]], ('Blackberry Almond lart', 0.8739680647850037)], [[[220.0, 227.0], [230.0, 227.0], [230.0, 238.0], [220.0, 238.0]], ('1', 0.5902113914489746)], [[[259.0, 225.0], [298.0, 225.0], [298.0, 239.0], [259.0, 239.0]], ('$7.50', 0.9620436429977417)], [[[25.0, 242.0], [192.0, 239.0], [192.0, 252.0], [25.0, 255.0]], ('Crumbly Apple Crumble Tait', 0.8997535705566406)], [[[220.0, 240.0], [230.0, 240.0], [230.0, 251.0], [220.0, 251.0]], ('1', 0.9628708362579346)], [[[261.0, 239.0], [300.0, 239.0], [300.0, 253.0], [261.0, 253.0]], ('$750', 0.9688975214958191)], [[[24.0, 254.0], [142.0, 253.0], [142.0, 267.0], [24.0, 268.0]], ('Dessert Of The Day', 0.9185513257980347)], [[[220.0, 252.0], [233.0, 252.0], [233.0, 266.0], [220.0, 266.0]], ('1', 0.95783931016922)], [[[262.0, 252.0], [301.0, 252.0], [301.0, 266.0], [262.0, 266.0]], ('$7.80', 0.9841938018798828)], [[[48.0, 269.0], [127.0, 269.0], [127.0, 280.0], [48.0, 280.0]], ('>CHOPORT', 0.962894082069397)], [[[21.0, 282.0], [140.0, 281.0], [140.0, 295.0], [21.0, 296.0]], ('Cinnamon Pear Tart', 0.9182860255241394)], [[[223.0, 281.0], [232.0, 281.0], [232.0, 292.0], [223.0, 292.0]], ('1', 0.9106719493865967)], [[[265.0, 280.0], [306.0, 280.0], [306.0, 294.0], [265.0, 294.0]], ('$7.50', 0.9802500009536743)], [[[20.0, 300.0], [88.0, 298.0], [88.0, 313.0], [20.0, 315.0]], ('SUB TOTAL', 0.9526980519294739)], [[[258.0, 297.0], [308.0, 293.0], [309.0, 311.0], [259.0, 315.0]], ('$39.90', 0.988430917263031)], [[[19.0, 329.0], [130.0, 329.0], [130.0, 347.0], [19.0, 347.0]], ('TOTAL(5 Qty)', 0.943166971206665)], [[[248.0, 328.0], [310.0, 328.0], [310.0, 346.0], [248.0, 346.0]], ('$39.90', 0.9984960556030273)], [[[17.0, 348.0], [48.0, 348.0], [48.0, 362.0], [17.0, 362.0]], ('VISA', 0.9955852031707764)], [[[17.0, 365.0], [165.0, 365.0], [165.0, 379.0], [17.0, 379.0]], ('TOTALTENDERED', 0.9958397150039673)], [[[251.0, 363.0], [313.0, 363.0], [313.0, 381.0], [251.0, 381.0]], ('$39.90', 0.9991678595542908)], [[[15.0, 381.0], [88.0, 383.0], [88.0, 401.0], [14.0, 399.0]], ('CHANGE', 0.9973295331001282)], [[[260.0, 382.0], [313.0, 382.0], [313.0, 400.0], [260.0, 400.0]], ('$0.00', 0.9984287023544312)], [[[102.0, 405.0], [222.0, 407.0], [221.0, 424.0], [102.0, 422.0]], ('Have a nice day', 0.9472596645355225)], [[[122.0, 424.0], [202.0, 424.0], [202.0, 438.0], [122.0, 438.0]], ('Thank you', 0.9825345277786255)], [[[115.0, 438.0], [210.0, 439.0], [210.0, 449.0], [114.0, 449.0]], ('See you soon', 0.8920062184333801)]]	{"store_name": "Drips", "store_addr": "TlongBahruEstate 82TlongPohRoad#01-05 Slngapore160082", "telephone": "62220400", "date": "20/08/12(MON)", "time": "12:46", "subtotal": "$39.90", "tax": "", "total": "$39.90 $39.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Latte", "item_value": "$9.60", "item_quantity": "1"}, {"item_key": "", "item_name": "BlackberryAlmondTart", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CrumblyAppleCrumbleTart", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "DessertOfTheDay", "item_value": "$7.80", "item_quantity": "1"}, {"item_key": "", "item_name": "CinnamonPearTart", "item_value": "$7.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[204.0, 1.0], [295.0, 4.0], [295.0, 18.0], [204.0, 15.0]], ('Table 36', 0.8682234287261963)], [[[344.0, 0.0], [424.0, 2.0], [423.0, 15.0], [344.0, 12.0]], ('Check16937', 0.9683592915534973)], [[[202.0, 19.0], [312.0, 25.0], [311.0, 39.0], [202.0, 33.0]], ('14:09:4703/23/2013', 0.9588398337364197)], [[[204.0, 12.0], [250.0, 15.0], [249.0, 26.0], [204.0, 22.0]], ('SusanF.', 0.8927125930786133)], [[[393.0, 31.0], [426.0, 31.0], [426.0, 45.0], [393.0, 45.0]], ('Gst4', 0.8785573244094849)], [[[212.0, 61.0], [329.0, 68.0], [328.0, 82.0], [211.0, 74.0]], ('1 Raspberry Lemonade', 0.933050811290741)], [[[284.0, 55.0], [344.0, 58.0], [344.0, 72.0], [283.0, 69.0]], ('Guest No.1', 0.9257587194442749)], [[[212.0, 72.0], [306.0, 77.0], [305.0, 91.0], [212.0, 85.0]], ('1 D1SC COMP ITEM', 0.8812023997306824)], [[[398.0, 71.0], [426.0, 74.0], [425.0, 88.0], [397.0, 85.0]], ('2.80', 0.9854742288589478)], [[[211.0, 82.0], [310.0, 88.0], [309.0, 102.0], [211.0, 96.0]], ('1 Seafood Al fredo', 0.9402158260345459)], [[[395.0, 82.0], [426.0, 85.0], [425.0, 99.0], [394.0, 96.0]], ('-2.80', 0.9348897933959961)], [[[212.0, 93.0], [306.0, 99.0], [305.0, 112.0], [212.0, 107.0]], ('1D1SC COMP ITEM', 0.8676915764808655)], [[[394.0, 93.0], [426.0, 96.0], [425.0, 110.0], [393.0, 108.0]], ('16.25', 0.9772745966911316)], [[[232.0, 105.0], [355.0, 112.0], [354.0, 126.0], [231.0, 119.0]], ('Sub Shrip w/Scal1ops', 0.8379168510437012)], [[[391.0, 104.0], [426.0, 107.0], [425.0, 120.0], [390.0, 118.0]], ('-16.25', 0.9746665954589844)], [[[9.0, 118.0], [121.0, 118.0], [121.0, 160.0], [9.0, 160.0]], ('Die', 0.7668715119361877)], [[[210.0, 115.0], [317.0, 120.0], [316.0, 134.0], [210.0, 129.0]], ('1 Sub Caesar Salad', 0.9293788075447083)], [[[232.0, 127.0], [316.0, 131.0], [315.0, 145.0], [231.0, 140.0]], ('DISC COMP ITEM', 0.8990630507469177)], [[[398.0, 125.0], [425.0, 128.0], [424.0, 142.0], [397.0, 139.0]], ('2.95', 0.9926729798316956)], [[[396.0, 136.0], [426.0, 139.0], [425.0, 153.0], [395.0, 150.0]], ('-2.95', 0.9349387288093567)], [[[210.0, 158.0], [283.0, 163.0], [282.0, 176.0], [210.0, 172.0]], ('1 Sott Drink', 0.9013840556144714)], [[[284.0, 151.0], [344.0, 156.0], [342.0, 169.0], [283.0, 165.0]], ('Guest No.2', 0.9087554812431335)], [[[27.0, 167.0], [169.0, 167.0], [169.0, 199.0], [27.0, 199.0]], ('Sarde,', 0.7438694834709167)], [[[209.0, 170.0], [305.0, 174.0], [305.0, 188.0], [209.0, 184.0]], ('1DisC COMP ITEM', 0.8852841258049011)], [[[398.0, 169.0], [426.0, 172.0], [425.0, 185.0], [397.0, 182.0]], ('2.55', 0.9936836361885071)], [[[209.0, 181.0], [321.0, 188.0], [320.0, 202.0], [209.0, 194.0]], ('1 Malbec 1oz Sanple', 0.898394763469696)], [[[396.0, 180.0], [426.0, 182.0], [425.0, 197.0], [395.0, 194.0]], ('-2.55', 0.9189200401306152)], [[[210.0, 192.0], [306.0, 198.0], [305.0, 212.0], [210.0, 206.0]], ('1 L Caesar Salad', 0.9309500455856323)], [[[55.0, 207.0], [183.0, 207.0], [183.0, 221.0], [55.0, 221.0]], ('ITALIAN RESTAURANT', 0.9453369975090027)], [[[210.0, 203.0], [305.0, 209.0], [304.0, 222.0], [210.0, 217.0]], ('1 D1SC COMP ITEM', 0.8531849384307861)], [[[399.0, 201.0], [426.0, 204.0], [424.0, 219.0], [398.0, 216.0]], ('7.75', 0.9853721857070923)], [[[211.0, 214.0], [271.0, 219.0], [270.0, 232.0], [209.0, 228.0]], ('1 Add Soup', 0.942829966545105)], [[[395.0, 214.0], [426.0, 214.0], [426.0, 230.0], [395.0, 230.0]], ('-7.75', 0.8257170915603638)], [[[230.0, 228.0], [317.0, 230.0], [316.0, 244.0], [229.0, 242.0]], ('DiSC COMP ITEM', 0.8702090978622437)], [[[397.0, 225.0], [427.0, 228.0], [426.0, 241.0], [396.0, 239.0]], ('3.65', 0.9856888651847839)], [[[209.0, 238.0], [331.0, 245.0], [330.0, 258.0], [209.0, 250.0]], ('1x Chicken & Gnocchi', 0.8769351243972778)], [[[396.0, 236.0], [427.0, 238.0], [426.0, 252.0], [395.0, 249.0]], ('-3.65', 0.9321199655532837)], [[[209.0, 271.0], [257.0, 276.0], [256.0, 289.0], [207.0, 284.0]], ('1 Water', 0.9090678095817566)], [[[283.0, 263.0], [343.0, 267.0], [343.0, 280.0], [282.0, 277.0]], ('Guest No.3', 0.9388119578361511)], [[[207.0, 283.0], [295.0, 286.0], [295.0, 301.0], [207.0, 298.0]], ('1 Soup & Salad', 0.9056412577629089)], [[[207.0, 295.0], [303.0, 299.0], [303.0, 313.0], [207.0, 309.0]], ('1D1sC COMP ITEM', 0.874299943447113)], [[[399.0, 290.0], [427.0, 295.0], [425.0, 309.0], [396.0, 305.0]], ('6.95', 0.9854983687400818)], [[[207.0, 306.0], [282.0, 310.0], [281.0, 324.0], [207.0, 319.0]], ('1 Minestrone', 0.9664981365203857)], [[[395.0, 305.0], [427.0, 305.0], [427.0, 320.0], [395.0, 320.0]], ('-6.95', 0.9123299717903137)], [[[207.0, 341.0], [338.0, 346.0], [338.0, 360.0], [207.0, 355.0]], ('1 Kids Chicken Fingers', 0.9149696826934814)], [[[282.0, 332.0], [342.0, 336.0], [342.0, 348.0], [281.0, 345.0]], ('Guest No.4', 0.8971554636955261)], [[[207.0, 353.0], [304.0, 356.0], [304.0, 370.0], [207.0, 367.0]], ('1 DisC COMP ITEM', 0.8568974733352661)], [[[398.0, 348.0], [427.0, 350.0], [426.0, 364.0], [397.0, 361.0]], ('5.75', 0.9954707622528076)], [[[229.0, 366.0], [270.0, 368.0], [269.0, 382.0], [228.0, 379.0]], ('Grapes', 0.9949908256530762)], [[[395.0, 360.0], [427.0, 362.0], [426.0, 377.0], [394.0, 374.0]], ('-5.75', 0.9378122091293335)], [[[206.0, 376.0], [265.0, 379.0], [264.0, 393.0], [206.0, 390.0]], ('1xSalad', 0.9557627439498901)], [[[193.0, 411.0], [425.0, 416.0], [424.0, 433.0], [193.0, 428.0]], ('ID#2244 38848 3831', 0.9431025981903076)], [[[192.0, 447.0], [382.0, 452.0], [381.0, 466.0], [192.0, 461.0]], ('We value your opinion.Please', 0.9188189506530762)], [[[195.0, 438.0], [312.0, 441.0], [312.0, 450.0], [195.0, 448.0]], ('XXXXXXXXXXXXXXXXXX', 0.6722517013549805)], [[[368.0, 445.0], [418.0, 445.0], [418.0, 452.0], [368.0, 452.0]], ('AXXRERXXX', 0.6267980337142944)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "03/23/2013", "time": "14:09:47", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "RaspberryLemonade", "item_value": "2.80", "item_quantity": "1"}, {"item_key": "", "item_name": "DiscCOMPITEM", "item_value": "-2.80", "item_quantity": "1"}, {"item_key": "", "item_name": "SeafoodAlfredo", "item_value": "16.25", "item_quantity": "1"}, {"item_key": "", "item_name": "DiscCOMPITEM", "item_value": "-16.25", "item_quantity": "1"}, {"item_key": "", "item_name": "SubShrimpw/Scallops", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SubCaesarSalad", "item_value": "-2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "DiscCOMPITEM", "item_value": "2.55", "item_quantity": "1"}, {"item_key": "", "item_name": "SoftDrink", "item_value": "-2.55", "item_quantity": "1"}, {"item_key": "", "item_name": "DiscCOMPITEM", "item_value": "7.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Malbec1ozSample", "item_value": "-7.75", "item_quantity": "1"}, {"item_key": "", "item_name": "LCaesarSalad", "item_value": "3.65", "item_quantity": "1"}, {"item_key": "", "item_name": "DiscCOMPITEM", "item_value": "-3.65", "item_quantity": "1"}, {"item_key": "", "item_name": "AddSoup", "item_value": "6.95", "item_quantity": "1"}, {"item_key": "", "item_name": "DiscCOMPITEM", "item_value": "-6.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Chicken&Gnocchi", "item_value": "5.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Water", "item_value": "-5.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Soup&Salad", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "DiscCOMPITEM", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Minestrone", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "KidsChickenFingers", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "DiscCOMPITEM", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Grapes", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Salad", "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	[[[[132.0, 78.0], [207.0, 78.0], [207.0, 103.0], [132.0, 103.0]], ('MANIEL BEACH', 0.9179001450538635)], [[[126.0, 100.0], [210.0, 103.0], [210.0, 118.0], [126.0, 115.0]], ('MANIELE S.R.L.', 0.9582738280296326)], [[[113.0, 115.0], [223.0, 118.0], [223.0, 132.0], [113.0, 129.0]], ('VIA M.GARUFI N.131', 0.9516842365264893)], [[[131.0, 130.0], [207.0, 134.0], [206.0, 148.0], [130.0, 144.0]], ('LETOJANNI ME', 0.9567952156066895)], [[[111.0, 145.0], [218.0, 146.0], [218.0, 163.0], [111.0, 162.0]], ('P.IVA 03254820834', 0.9577218294143677)], [[[150.0, 162.0], [189.0, 162.0], [189.0, 177.0], [150.0, 177.0]], ('GRAZIE', 0.9966058731079102)], [[[287.0, 192.0], [317.0, 192.0], [317.0, 208.0], [287.0, 208.0]], ('EURO', 0.9858593940734863)], [[[143.0, 206.0], [193.0, 206.0], [193.0, 220.0], [143.0, 220.0]], ('2X2,50', 0.8672313690185547)], [[[22.0, 217.0], [86.0, 219.0], [85.0, 234.0], [22.0, 232.0]], ('CAPPUCCINO', 0.993169903755188)], [[[286.0, 222.0], [316.0, 222.0], [316.0, 237.0], [286.0, 237.0]], ('5,00', 0.9559252858161926)], [[[142.0, 232.0], [195.0, 234.0], [194.0, 252.0], [141.0, 250.0]], ('2X1,50', 0.8839685916900635)], [[[23.0, 248.0], [73.0, 248.0], [73.0, 262.0], [23.0, 262.0]], ('CORNETTI', 0.9955822229385376)], [[[286.0, 251.0], [315.0, 251.0], [315.0, 267.0], [286.0, 267.0]], ('3,00', 0.9577105641365051)], [[[23.0, 263.0], [126.0, 263.0], [126.0, 277.0], [23.0, 277.0]], ('#BANCO -AMMINIST', 0.94992995262146)], [[[21.0, 294.0], [92.0, 294.0], [92.0, 319.0], [21.0, 319.0]], ('TOTALE EURO', 0.9348385334014893)], [[[284.0, 298.0], [315.0, 298.0], [315.0, 324.0], [284.0, 324.0]], ('8,00', 0.985641598701477)], [[[20.0, 315.0], [74.0, 318.0], [73.0, 335.0], [19.0, 332.0]], ('CONTANTI', 0.9953279495239258)], [[[285.0, 321.0], [314.0, 321.0], [314.0, 338.0], [285.0, 338.0]], ('8,00', 0.9198668003082275)], [[[21.0, 348.0], [66.0, 348.0], [66.0, 363.0], [21.0, 363.0]], ('NR.0010', 0.983696460723877)], [[[219.0, 345.0], [313.0, 350.0], [312.0, 368.0], [218.0, 363.0]], ('04/08/1610:20', 0.96985924243927)], [[[123.0, 376.0], [211.0, 376.0], [211.0, 393.0], [123.0, 393.0]], ('FU172002557', 0.9270641803741455)], [[[191.0, 423.0], [323.0, 423.0], [323.0, 440.0], [191.0, 440.0]], ('tripadvisor', 0.981579601764679)]]	{"store_name": "MANIELBEACH", "store_addr": "VIAM.GARUFIN.131 LETOJANNIME", "telephone": "", "date": "04/08/16", "time": "10:20", "subtotal": "", "tax": "", "total": "8,00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CAPPUCCINO", "item_value": "5,00", "item_quantity": "1"}, {"item_key": "", "item_name": "CORNETTI", "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	[[[[286.0, 74.0], [934.0, 65.0], [934.0, 110.0], [287.0, 119.0]], ('OPEN 8:00AM T0 10:0OPM DAILY', 0.8591844439506531)], [[[121.0, 188.0], [818.0, 182.0], [818.0, 225.0], [121.0, 232.0]], ('R-BEANS GREEN TRIMMED AND CLEA', 0.9460636377334595)], [[[885.0, 180.0], [989.0, 180.0], [989.0, 230.0], [885.0, 230.0]], ('2.69', 0.9952629804611206)], [[[886.0, 237.0], [990.0, 237.0], [990.0, 288.0], [886.0, 288.0]], ('2.49', 0.9965775012969971)], [[[121.0, 249.0], [630.0, 240.0], [631.0, 285.0], [122.0, 294.0]], ('ORGANIC ROMAINE HEARTS', 0.9756016135215759)], [[[890.0, 295.0], [989.0, 295.0], [989.0, 345.0], [890.0, 345.0]], ('1.79', 0.9927870035171509)], [[[123.0, 307.0], [375.0, 307.0], [375.0, 347.0], [123.0, 347.0]], ('CAULIFLOWER', 0.9982767701148987)], [[[119.0, 362.0], [722.0, 357.0], [723.0, 402.0], [120.0, 407.0]], ('SWEET ITALIAN PORK SAUSAGE', 0.9605020880699158)], [[[890.0, 357.0], [987.0, 357.0], [987.0, 402.0], [890.0, 402.0]], ('3.99', 0.9970908164978027)], [[[119.0, 422.0], [398.0, 416.0], [399.0, 461.0], [120.0, 467.0]], ('BACON TURKEY', 0.9778512120246887)], [[[886.0, 413.0], [989.0, 413.0], [989.0, 463.0], [886.0, 463.0]], ('2.99', 0.9982226490974426)], [[[123.0, 480.0], [651.0, 475.0], [651.0, 515.0], [123.0, 520.0]], ('BACON APPLEWOOD UNCURED', 0.9615580439567566)], [[[888.0, 472.0], [989.0, 472.0], [989.0, 522.0], [888.0, 522.0]], ('7.98', 0.9969878196716309)], [[[167.0, 535.0], [240.0, 535.0], [240.0, 582.0], [167.0, 582.0]], ('20Z', 0.9773042798042297)], [[[324.0, 535.0], [534.0, 535.0], [534.0, 577.0], [324.0, 577.0]], ('@3.99/0Z', 0.9745886325836182)], [[[124.0, 595.0], [580.0, 595.0], [580.0, 635.0], [124.0, 635.0]], ('A-LEMON BAG ORG 1 LB', 0.9185563325881958)], [[[890.0, 587.0], [992.0, 587.0], [992.0, 638.0], [890.0, 638.0]], ('1.69', 0.9951213598251343)], [[[121.0, 650.0], [747.0, 648.0], [747.0, 693.0], [121.0, 695.0]], ('PICKLE SWEET RELISH ORGANIC', 0.9543852806091309)], [[[890.0, 645.0], [990.0, 645.0], [990.0, 697.0], [890.0, 697.0]], ('1.99', 0.9958766102790833)], [[[123.0, 712.0], [651.0, 708.0], [651.0, 748.0], [123.0, 752.0]], ('BEANS BLACK CUBAN STYLE', 0.9477289319038391)], [[[888.0, 705.0], [987.0, 705.0], [987.0, 757.0], [888.0, 757.0]], ('1.98', 0.9951326251029968)], [[[167.0, 765.0], [336.0, 765.0], [336.0, 812.0], [167.0, 812.0]], ('20Z', 0.9640395045280457)], [[[320.0, 768.0], [534.0, 768.0], [534.0, 812.0], [320.0, 812.0]], ('Z0/660', 0.8979747891426086)], [[[123.0, 827.0], [741.0, 827.0], [741.0, 865.0], [123.0, 865.0]], ('BEANS REFRIED PINTO ORGANIC', 0.9526669979095459)], [[[885.0, 822.0], [987.0, 822.0], [987.0, 872.0], [885.0, 872.0]], ('1.09', 0.9931449890136719)], [[[121.0, 885.0], [743.0, 885.0], [743.0, 923.0], [121.0, 923.0]], ('BEANS REFRIED PINTO ORGANIC', 0.961052417755127)], [[[886.0, 880.0], [987.0, 880.0], [987.0, 930.0], [886.0, 930.0]], ('1.09', 0.9949116110801697)], [[[119.0, 943.0], [762.0, 940.0], [762.0, 980.0], [119.0, 983.0]], ('A-TOMATOES ON THE VINE 20 OZ', 0.92145836353302)], [[[885.0, 938.0], [985.0, 938.0], [985.0, 988.0], [885.0, 988.0]], ('1.99', 0.995090901851654)], [[[121.0, 1002.0], [767.0, 1002.0], [767.0, 1042.0], [121.0, 1042.0]], ('BEANS ORGANIC GREAT NORTHERN', 0.9471701383590698)], [[[885.0, 994.0], [986.0, 999.0], [984.0, 1049.0], [882.0, 1044.0]], ('4.76', 0.9930640459060669)], [[[164.0, 1055.0], [339.0, 1055.0], [339.0, 1103.0], [164.0, 1103.0]], ('4OZ', 0.8285818099975586)], [[[313.0, 1059.0], [534.0, 1053.0], [536.0, 1101.0], [315.0, 1107.0]], ('@1.19/0Z', 0.9133232831954956)], [[[120.0, 1112.0], [558.0, 1115.0], [557.0, 1162.0], [119.0, 1158.0]], ('SPICE ONION DIP MIX', 0.9431411623954773)], [[[880.0, 1110.0], [987.0, 1110.0], [987.0, 1167.0], [880.0, 1167.0]], ('2.97', 0.993644654750824)], [[[164.0, 1166.0], [240.0, 1171.0], [236.0, 1219.0], [161.0, 1214.0]], ('30Z', 0.9727084636688232)], [[[322.0, 1173.0], [537.0, 1173.0], [537.0, 1220.0], [322.0, 1220.0]], ('@0.99/0Z', 0.9806004762649536)], [[[120.0, 1230.0], [650.0, 1235.0], [649.0, 1278.0], [119.0, 1273.0]], ('A-AVOCADOS HASS BAG 4CT', 0.9322946071624756)], [[[885.0, 1226.0], [989.0, 1231.0], [987.0, 1287.0], [882.0, 1283.0]], ('3.29', 0.9911482334136963)], [[[120.0, 1286.0], [558.0, 1292.0], [557.0, 1337.0], [119.0, 1331.0]], ('A-GINGER FRESH 4 OZ', 0.9335641264915466)], [[[890.0, 1293.0], [989.0, 1293.0], [989.0, 1343.0], [890.0, 1343.0]], ('1.39', 0.9947977662086487)], [[[120.0, 1345.0], [822.0, 1357.0], [821.0, 1404.0], [119.0, 1391.0]], ('A-APPLE BAG ORG GRANNY SMITH 2', 0.9453449249267578)], [[[888.0, 1353.0], [989.0, 1353.0], [989.0, 1403.0], [888.0, 1403.0]], ('2.49', 0.9933037757873535)], [[[119.0, 1454.0], [301.0, 1462.0], [298.0, 1511.0], [117.0, 1503.0]], ('SUBTOTAL', 0.9968600273132324)], [[[941.0, 1477.0], [1088.0, 1477.0], [1088.0, 1525.0], [941.0, 1525.0]], ('$46.66', 0.9929120540618896)], [[[120.0, 1509.0], [345.0, 1524.0], [342.0, 1576.0], [116.0, 1561.0]], ('TOTAL', 0.9980098605155945)], [[[941.0, 1538.0], [1093.0, 1538.0], [1093.0, 1592.0], [941.0, 1592.0]], ('$46.66', 0.9926714897155762)], [[[123.0, 1575.0], [235.0, 1575.0], [235.0, 1598.0], [123.0, 1598.0]], ('DCC', 0.5177362561225891)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$46.66", "tax": "", "total": "#46.66", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "R-BEANSGREENTRIMMEDANDCLEA", "item_value": "2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "ORGANICROMAINEHEARTS", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "CAULIFLOWER", "item_value": "1.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SWEETITALIANPORKSAUSAGE", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BACONTURKEY", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BACONAPPLEWOODUNCURED", "item_value": "7.98", "item_quantity": "1"}, {"item_key": "", "item_name": "A-LEMONBAGORG1LB", "item_value": "1.69", "item_quantity": "1"}, {"item_key": "", "item_name": "PICKLESWEETRELISHORGANIC", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BEANSBLACKCUBANSTYLE", "item_value": "1.98", "item_quantity": "1"}, {"item_key": "", "item_name": "BEANSREFRIEDPINTOORGANIC", "item_value": "1.09", "item_quantity": "1"}, {"item_key": "", "item_name": "BEANSREFRIEDPINTOORGANIC", "item_value": "1.09", "item_quantity": "1"}, {"item_key": "", "item_name": "A-TOMATOESONTHEVINE20OZ", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BEANSORGANICGREATNORTHERN", "item_value": "4.76", "item_quantity": "1"}, {"item_key": "", "item_name": "SPICEONIONDIPMIX", "item_value": "2.97", "item_quantity": "1"}, {"item_key": "", "item_name": "A-AVOCADOSHASSBAG4CT", "item_value": "3.29", "item_quantity": "1"}, {"item_key": "", "item_name": "A-GINGERFRESH4OZ", "item_value": "1.39", "item_quantity": "1"}, {"item_key": "", "item_name": "A-APPLEBAGORGGRANNYSMITH2", "item_value": "2.49", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[251.0, 40.0], [367.0, 40.0], [367.0, 146.0], [251.0, 146.0]], ('349', 0.9987847805023193)], [[[151.0, 158.0], [414.0, 166.0], [413.0, 183.0], [150.0, 175.0]], ('BUY ONE GET ONE FREE QUARTER POUNDER', 0.928700864315033)], [[[192.0, 178.0], [372.0, 183.0], [372.0, 200.0], [192.0, 195.0]], ('W/CHEESE OR EGG MCMUFFIN', 0.942164421081543)], [[[149.0, 195.0], [414.0, 204.0], [413.0, 221.0], [148.0, 212.0]], ('Go to www.mcdvoice.con within T days', 0.915263295173645)], [[[176.0, 215.0], [389.0, 222.0], [389.0, 238.0], [176.0, 231.0]], ('and tell us about your visit.', 0.9490506649017334)], [[[169.0, 231.0], [288.0, 237.0], [288.0, 254.0], [169.0, 248.0]], ('Validation Code:', 0.9565870761871338)], [[[152.0, 249.0], [407.0, 261.0], [406.0, 278.0], [151.0, 266.0]], ('Expires 30 days after receipt date', 0.9591529965400696)], [[[144.0, 266.0], [420.0, 280.0], [419.0, 298.0], [143.0, 284.0]], ("Valid at participating US McDonald's.", 0.9552164673805237)], [[[201.0, 287.0], [294.0, 293.0], [292.0, 311.0], [200.0, 305.0]], ('Survey code:', 0.9257332682609558)], [[[164.0, 304.0], [396.0, 316.0], [395.0, 333.0], [163.0, 321.0]], ('35687-03490-63017-12098-00023-4', 0.98428875207901)], [[[169.0, 342.0], [378.0, 353.0], [377.0, 371.0], [169.0, 360.0]], ("McDona ld's Restaurant #35687", 0.9439544677734375)], [[[206.0, 364.0], [342.0, 371.0], [341.0, 389.0], [205.0, 382.0]], ('HARTSFIE_D AIRPORT', 0.9403122663497925)], [[[212.0, 384.0], [336.0, 390.0], [335.0, 408.0], [211.0, 402.0]], ('ATLANTA,GA 30320', 0.9434404373168945)], [[[205.0, 404.0], [351.0, 408.0], [350.0, 425.0], [204.0, 421.0]], ('TEL#4047534125', 0.9831358194351196)], [[[120.0, 441.0], [167.0, 441.0], [167.0, 460.0], [120.0, 460.0]], ('KS#3', 0.9765018224716187)], [[[278.0, 444.0], [431.0, 447.0], [430.0, 465.0], [278.0, 462.0]], ('06/30/2017 12:09 AM', 0.9312208890914917)], [[[362.0, 465.0], [430.0, 467.0], [429.0, 485.0], [362.0, 483.0]], ('Crder 49', 0.8913718461990356)], [[[120.0, 504.0], [248.0, 504.0], [248.0, 521.0], [120.0, 521.0]], ('1 L French Fries', 0.9100462794303894)], [[[392.0, 504.0], [429.0, 504.0], [429.0, 523.0], [392.0, 523.0]], ('2.19', 0.9970036745071411)], [[[115.0, 545.0], [184.0, 545.0], [184.0, 566.0], [115.0, 566.0]], ('Subtotal', 0.9898173809051514)], [[[392.0, 543.0], [428.0, 543.0], [428.0, 563.0], [392.0, 563.0]], ('2.19', 0.9966792464256287)], [[[131.0, 569.0], [162.0, 569.0], [162.0, 589.0], [131.0, 589.0]], ('Tax', 0.9945147633552551)], [[[392.0, 564.0], [427.0, 564.0], [427.0, 584.0], [392.0, 584.0]], ('0.15', 0.9955147504806519)], [[[114.0, 591.0], [231.0, 587.0], [232.0, 607.0], [115.0, 611.0]], ('Take-Out Total', 0.9577646851539612)], [[[392.0, 586.0], [428.0, 586.0], [428.0, 605.0], [392.0, 605.0]], ('2.34', 0.9968999624252319)], [[[392.0, 626.0], [430.0, 626.0], [430.0, 649.0], [392.0, 649.0]], ('2.34', 0.9928490519523621)], [[[110.0, 636.0], [181.0, 633.0], [182.0, 655.0], [111.0, 658.0]], ('Cashless', 0.9901833534240723)], [[[110.0, 658.0], [166.0, 661.0], [165.0, 682.0], [109.0, 680.0]], ('Change', 0.9976723194122314)], [[[394.0, 649.0], [430.0, 649.0], [430.0, 669.0], [394.0, 669.0]], ('0.00', 0.996211588382721)], [[[107.0, 708.0], [206.0, 705.0], [206.0, 726.0], [108.0, 729.0]], ('MER#148785', 0.9938637018203735)]]	{"store_name": "349 McDonald'sRestaurant#35687", "store_addr": "HARTSFIELDAIRPORT ATLANTA,GA30320", "telephone": "4047534125", "date": "06/30/2017", "time": "12:09AM", "subtotal": "2.19", "tax": "0.15", "total": "2.34", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "1LFrenchFries", "item_value": "2.19", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[147.0, 87.0], [202.0, 88.0], [202.0, 100.0], [147.0, 98.0]], ('STHS', 0.6744145154953003)], [[[129.0, 111.0], [223.0, 113.0], [223.0, 124.0], [129.0, 123.0]], ('Nagera Falis.L2G 3Y9', 0.7955555319786072)], [[[132.0, 102.0], [214.0, 105.0], [214.0, 116.0], [131.0, 113.0]], ('6455 Fa1lsv.Blvd', 0.6759319305419922)], [[[111.0, 127.0], [241.0, 131.0], [241.0, 144.0], [110.0, 141.0]], ('www.ruthechr isnfagarafa]s.com', 0.8609434962272644)], [[[144.0, 122.0], [209.0, 122.0], [209.0, 132.0], [144.0, 132.0]], ('905357-1199', 0.9575210809707642)], [[[121.0, 138.0], [224.0, 140.0], [224.0, 151.0], [121.0, 149.0]], ('HST83096 3294 RT0001', 0.920765221118927)], [[[92.0, 153.0], [139.0, 157.0], [139.0, 168.0], [91.0, 165.0]], ('119N1ckS', 0.9005728363990784)], [[[85.0, 171.0], [131.0, 175.0], [130.0, 189.0], [84.0, 185.0]], ('Tb1305/1', 0.9277520179748535)], [[[157.0, 174.0], [197.0, 176.0], [196.0, 190.0], [156.0, 188.0]], ('Chk3967', 0.8409274220466614)], [[[235.0, 176.0], [269.0, 176.0], [269.0, 190.0], [235.0, 190.0]], ('Gst 5', 0.8659202456474304)], [[[82.0, 194.0], [135.0, 196.0], [134.0, 210.0], [81.0, 208.0]], ('Stat ion 30', 0.8503842949867249)], [[[157.0, 187.0], [197.0, 187.0], [197.0, 198.0], [157.0, 198.0]], ('305GO2', 0.9532279372215271)], [[[193.0, 196.0], [270.0, 196.0], [270.0, 209.0], [193.0, 209.0]], ('Aug1615.070BPM', 0.919289767742157)], [[[90.0, 215.0], [175.0, 218.0], [174.0, 232.0], [89.0, 229.0]], ('Z Child Ice Crean', 0.8632338643074036)], [[[89.0, 226.0], [136.0, 228.0], [135.0, 242.0], [88.0, 240.0]], ('1Salmon', 0.7757807970046997)], [[[235.0, 217.0], [260.0, 219.0], [259.0, 230.0], [234.0, 228.0]], ('0.00', 0.9861082434654236)], [[[232.0, 228.0], [261.0, 228.0], [261.0, 242.0], [232.0, 242.0]], ('39.00', 0.9806798696517944)], [[[88.0, 238.0], [175.0, 240.0], [175.0, 253.0], [87.0, 251.0]], ('1 Stuffed Chicken', 0.9252617359161377)], [[[88.0, 249.0], [160.0, 251.0], [160.0, 265.0], [87.0, 263.0]], ('1.Market Fresh', 0.9128780364990234)], [[[232.0, 240.0], [262.0, 240.0], [262.0, 254.0], [232.0, 254.0]], ('3060', 0.5171200633049011)], [[[233.0, 251.0], [263.0, 251.0], [263.0, 265.0], [233.0, 265.0]], ('48.00', 0.9880032539367676)], [[[88.0, 264.0], [159.0, 264.0], [159.0, 275.0], [88.0, 275.0]], ('1 Child Salmon', 0.8345592617988586)], [[[234.0, 263.0], [264.0, 263.0], [264.0, 277.0], [234.0, 277.0]], ('18.00', 0.9928620457649231)], [[[87.0, 275.0], [157.0, 275.0], [157.0, 289.0], [87.0, 289.0]], ('1 Petit Filet', 0.9178282022476196)], [[[235.0, 274.0], [265.0, 274.0], [265.0, 289.0], [235.0, 289.0]], ('59.00', 0.9932071566581726)], [[[86.0, 287.0], [160.0, 288.0], [160.0, 302.0], [85.0, 301.0]], ('1 Baked Potato', 0.9624102711677551)], [[[237.0, 286.0], [267.0, 289.0], [266.0, 303.0], [236.0, 300.0]], ('14.00', 0.9767281413078308)], [[[97.0, 302.0], [120.0, 302.0], [120.0, 314.0], [97.0, 314.0]], ('18 %', 0.8293911814689636)], [[[95.0, 314.0], [139.0, 314.0], [139.0, 328.0], [95.0, 328.0]], ('18%Grat', 0.9791209101676941)], [[[239.0, 313.0], [270.0, 313.0], [270.0, 328.0], [239.0, 328.0]], ('39.06', 0.9862521886825562)], [[[92.0, 343.0], [137.0, 343.0], [137.0, 357.0], [92.0, 357.0]], ('Subtotal', 0.9947711825370789)], [[[235.0, 341.0], [272.0, 341.0], [272.0, 356.0], [235.0, 356.0]], ('217.00', 0.9938752055168152)], [[[242.0, 356.0], [274.0, 356.0], [274.0, 371.0], [242.0, 371.0]], ('39.06', 0.9858385324478149)], [[[91.0, 372.0], [143.0, 372.0], [143.0, 386.0], [91.0, 386.0]], ('TIF4.75%', 0.9751689434051514)], [[[244.0, 371.0], [275.0, 371.0], [275.0, 386.0], [244.0, 386.0]], ('10.31', 0.9962150454521179)], [[[88.0, 388.0], [133.0, 388.0], [133.0, 402.0], [88.0, 402.0]], ('HST13%', 0.9899160265922546)], [[[245.0, 383.0], [277.0, 386.0], [276.0, 402.0], [244.0, 399.0]], ('34.63', 0.988429069519043)], [[[66.0, 404.0], [171.0, 404.0], [171.0, 418.0], [66.0, 418.0]], ('08:20PM Amount Due', 0.9188367128372192)], [[[208.0, 402.0], [277.0, 402.0], [277.0, 416.0], [208.0, 416.0]], ('301.00', 0.9963533878326416)]]	{"store_name": "RCHRTS", "store_addr": "", "telephone": "(905)357-1199", "date": "Aug16\u00b415", "time": "08:20PM", "subtotal": "217.00", "tax": "10.31 34.63", "total": "301.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ChildIceCrean", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Salman", "item_value": "39.00", "item_quantity": "1"}, {"item_key": "", "item_name": "StuffedChicken", "item_value": "39.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MarketFresh", "item_value": "48.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChildSalmon", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PetitFilet", "item_value": "59.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BakedPotato", "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	[[[[141.0, 6.0], [301.0, 12.0], [301.0, 29.0], [141.0, 23.0]], ('Red House At', 0.941166877746582)], [[[142.0, 25.0], [302.0, 31.0], [302.0, 48.0], [142.0, 42.0]], ('The Quayside', 0.9714062809944153)], [[[154.0, 44.0], [276.0, 48.0], [276.0, 65.0], [154.0, 61.0]], ('60Robertson Auay', 0.9200410842895508)], [[[140.0, 62.0], [289.0, 67.0], [289.0, 84.0], [140.0, 79.0]], ('#01-13/14 The Suayside', 0.9257791042327881)], [[[160.0, 82.0], [270.0, 84.0], [270.0, 101.0], [160.0, 99.0]], ('Singapore 238252', 0.961375892162323)], [[[121.0, 98.0], [300.0, 102.0], [300.0, 119.0], [121.0, 115.0]], ('Tel37357663Fax67352298', 0.9132951498031616)], [[[134.0, 116.0], [287.0, 120.0], [287.0, 137.0], [134.0, 133.0]], ('www.redhouseseafood.com', 0.9818863868713379)], [[[116.0, 135.0], [309.0, 138.0], [309.0, 153.0], [116.0, 150.0]], ('Tax Inv0ice Gst No.200707643H', 0.8913441300392151)], [[[105.0, 166.0], [231.0, 169.0], [231.0, 185.0], [105.0, 182.0]], ('18/04/200819:19', 0.9361034631729126)], [[[228.0, 170.0], [332.0, 173.0], [332.0, 187.0], [228.0, 184.0]], ('TRHC1A003782', 0.9461345672607422)], [[[106.0, 185.0], [227.0, 187.0], [227.0, 209.0], [106.0, 207.0]], ('Table 45', 0.9290211200714111)], [[[251.0, 195.0], [292.0, 198.0], [290.0, 216.0], [249.0, 213.0]], ('Pax', 0.9939423203468323)], [[[311.0, 201.0], [326.0, 201.0], [326.0, 214.0], [311.0, 214.0]], ('4', 0.9975336790084839)], [[[107.0, 227.0], [246.0, 229.0], [246.0, 243.0], [107.0, 241.0]], ('1.0000 Spin3ch Tofu S', 0.8774069547653198)], [[[305.0, 230.0], [338.0, 230.0], [338.0, 245.0], [305.0, 245.0]], ('14.00', 0.9891807436943054)], [[[107.0, 244.0], [231.0, 245.0], [231.0, 259.0], [107.0, 258.0]], ('5.0000 Fried Man-Tou', 0.9294811487197876)], [[[309.0, 246.0], [338.0, 246.0], [338.0, 261.0], [309.0, 261.0]], ('4.00', 0.987936794757843)], [[[107.0, 261.0], [218.0, 261.0], [218.0, 275.0], [107.0, 275.0]], ('2.2000 Chi11i Crab', 0.9027268886566162)], [[[304.0, 262.0], [337.0, 262.0], [337.0, 277.0], [304.0, 277.0]], ('88.00', 0.9101031422615051)], [[[106.0, 275.0], [236.0, 276.0], [236.0, 293.0], [106.0, 292.0]], ('1.0000 Mango Sago S', 0.9243030548095703)], [[[305.0, 276.0], [338.0, 278.0], [337.0, 293.0], [304.0, 291.0]], ('12.00', 0.9900716543197632)], [[[107.0, 292.0], [242.0, 294.0], [242.0, 308.0], [107.0, 306.0]], ('4.0000 Butter Crayfish', 0.9149219393730164)], [[[304.0, 293.0], [338.0, 293.0], [338.0, 308.0], [304.0, 308.0]], ('32.00', 0.9920593500137329)], [[[108.0, 309.0], [229.0, 309.0], [229.0, 323.0], [108.0, 323.0]], ('1.0000 Baby SquidS)', 0.90505450963974)], [[[305.0, 309.0], [338.0, 309.0], [338.0, 324.0], [305.0, 324.0]], ('14.00', 0.9953514337539673)], [[[107.0, 326.0], [247.0, 326.0], [247.0, 340.0], [107.0, 340.0]], ('0.3000 C/Custard Prawns', 0.9557719230651855)], [[[305.0, 326.0], [338.0, 326.0], [338.0, 341.0], [305.0, 341.0]], ('19.50', 0.9922195672988892)], [[[108.0, 342.0], [172.0, 342.0], [172.0, 356.0], [108.0, 356.0]], ('4.0000Tea', 0.9713825583457947)], [[[309.0, 341.0], [338.0, 341.0], [338.0, 356.0], [309.0, 356.0]], ('7.20', 0.9891241788864136)], [[[108.0, 358.0], [176.0, 358.0], [176.0, 372.0], [108.0, 372.0]], ('1.0000 Rice', 0.965418815612793)], [[[310.0, 357.0], [338.0, 357.0], [338.0, 372.0], [310.0, 372.0]], ('1.00', 0.9946116209030151)], [[[107.0, 371.0], [195.0, 373.0], [195.0, 388.0], [107.0, 386.0]], ('1.0000 Pickles', 0.9463735222816467)], [[[309.0, 372.0], [338.0, 372.0], [338.0, 387.0], [309.0, 387.0]], ('3.00', 0.9944173693656921)], [[[132.0, 390.0], [172.0, 390.0], [172.0, 404.0], [132.0, 404.0]], ('SURTTL', 0.9006485939025879)], [[[299.0, 388.0], [337.0, 388.0], [337.0, 403.0], [299.0, 403.0]], ('194.70', 0.9880477786064148)], [[[131.0, 405.0], [202.0, 405.0], [202.0, 422.0], [131.0, 422.0]], ('10XSVCCHG', 0.9418563842773438)], [[[304.0, 405.0], [337.0, 405.0], [337.0, 420.0], [304.0, 420.0]], ('19.47', 0.9863592386245728)], [[[131.0, 423.0], [171.0, 423.0], [171.0, 438.0], [131.0, 438.0]], ('7ZGST', 0.9001767039299011)], [[[304.0, 420.0], [337.0, 420.0], [337.0, 435.0], [304.0, 435.0]], ('14.99', 0.9356389045715332)], [[[134.0, 455.0], [194.0, 455.0], [194.0, 469.0], [134.0, 469.0]], ('TOTAL', 0.9982794523239136)], [[[262.0, 450.0], [336.0, 448.0], [336.0, 465.0], [262.0, 467.0]], ('229.20', 0.9899716377258301)], [[[134.0, 471.0], [207.0, 471.0], [207.0, 485.0], [134.0, 485.0]], ('$50VC', 0.8778116106987)], [[[272.0, 466.0], [336.0, 464.0], [336.0, 481.0], [272.0, 483.0]], ('50.00', 0.9936749339103699)], [[[132.0, 487.0], [162.0, 487.0], [162.0, 502.0], [132.0, 502.0]], ('4893', 0.9932043552398682)], [[[133.0, 503.0], [207.0, 501.0], [207.0, 518.0], [133.0, 520.0]], ('TTLDUE', 0.9722467064857483)], [[[264.0, 498.0], [336.0, 496.0], [336.0, 513.0], [264.0, 515.0]], ('179.20', 0.993000328540802)], [[[241.0, 531.0], [268.0, 533.0], [267.0, 549.0], [240.0, 547.0]], ('Tips', 0.9934489727020264)], [[[110.0, 608.0], [282.0, 606.0], [282.0, 620.0], [110.0, 622.0]], ('Thank You. Please Cose Again', 0.9037440419197083)]]	{"store_name": "RedHouseAt TheQuayside", "store_addr": "60,RobertsonRuay #01-13/14TheGuayside Singapore238252", "telephone": "67357666", "date": "18/04/2008", "time": "19:19", "subtotal": "229.20", "tax": "", "total": "179.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SpinachTofu(S)", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FriedMan-Tou", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChilliCrab", "item_value": "88.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mangosago(S)", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ButterCrayfish", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BabySquid(s)", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "C/CustardPrawns", "item_value": "19.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Tea", "item_value": "7.20", "item_quantity": "1"}, {"item_key": "", "item_name": "Rice", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Pickles", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "194.70", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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	[[[[77.0, 11.0], [228.0, 2.0], [229.0, 23.0], [79.0, 33.0]], ('ign mg sns', 0.5659325122833252)], [[[66.0, 35.0], [228.0, 27.0], [229.0, 40.0], [67.0, 48.0]], ('Khmer Grill Coffee and Bakery', 0.9282152056694031)], [[[108.0, 49.0], [182.0, 45.0], [183.0, 59.0], [109.0, 64.0]], ('85595839899', 0.9428908824920654)], [[[60.0, 68.0], [226.0, 60.0], [227.0, 77.0], [61.0, 85.0]], ('Wat Damnak Village Siem Reap Town', 0.8500814437866211)], [[[25.0, 89.0], [103.0, 86.0], [103.0, 99.0], [25.0, 102.0]], ('Invoice:00012876', 0.9557332396507263)], [[[138.0, 86.0], [269.0, 79.0], [269.0, 93.0], [139.0, 100.0]], ('Date:10Nov-2016 12:38 PM', 0.8833562731742859)], [[[25.0, 107.0], [71.0, 107.0], [71.0, 122.0], [25.0, 122.0]], ('Table:T05', 0.9186133146286011)], [[[211.0, 103.0], [269.0, 103.0], [269.0, 118.0], [211.0, 118.0]], ('Guest No1', 0.9621273875236511)], [[[23.0, 128.0], [85.0, 128.0], [85.0, 142.0], [23.0, 142.0]], ('Cashier: admin', 0.9211235642433167)], [[[121.0, 127.0], [178.0, 127.0], [178.0, 141.0], [121.0, 141.0]], ('Order:admin', 0.9162525534629822)], [[[206.0, 122.0], [269.0, 125.0], [269.0, 139.0], [206.0, 136.0]], ('Create:admin', 0.9391726851463318)], [[[21.0, 146.0], [66.0, 149.0], [65.0, 164.0], [21.0, 161.0]], ('Customer:', 0.9678147435188293)], [[[20.0, 174.0], [76.0, 174.0], [76.0, 191.0], [20.0, 191.0]], ('Description', 0.9913721680641174)], [[[134.0, 177.0], [154.0, 177.0], [154.0, 191.0], [134.0, 191.0]], ('Qty', 0.9865155220031738)], [[[160.0, 175.0], [191.0, 175.0], [191.0, 190.0], [160.0, 190.0]], ('Price', 0.9969476461410522)], [[[199.0, 175.0], [214.0, 175.0], [214.0, 187.0], [199.0, 187.0]], ('%', 0.9388646483421326)], [[[230.0, 174.0], [258.0, 174.0], [258.0, 189.0], [230.0, 189.0]], ('Total', 0.9904792904853821)], [[[19.0, 196.0], [102.0, 199.0], [101.0, 216.0], [19.0, 213.0]], ('Anchor Beer Mug', 0.9633595943450928)], [[[137.0, 199.0], [149.0, 199.0], [149.0, 214.0], [137.0, 214.0]], ('5', 0.9971051812171936)], [[[162.0, 198.0], [188.0, 198.0], [188.0, 213.0], [162.0, 213.0]], ('0.75', 0.9919965267181396)], [[[203.0, 199.0], [211.0, 199.0], [211.0, 210.0], [203.0, 210.0]], ('0', 0.6621578931808472)], [[[239.0, 197.0], [265.0, 197.0], [265.0, 212.0], [239.0, 212.0]], ('3.75', 0.9577856063842773)], [[[18.0, 218.0], [95.0, 220.0], [95.0, 235.0], [18.0, 233.0]], ('Big Bottle Water', 0.8790738582611084)], [[[160.0, 219.0], [188.0, 219.0], [188.0, 234.0], [160.0, 234.0]], ('1.50', 0.9024288654327393)], [[[200.0, 219.0], [212.0, 219.0], [212.0, 232.0], [200.0, 232.0]], ('0', 0.8115159869194031)], [[[239.0, 218.0], [263.0, 218.0], [263.0, 230.0], [239.0, 230.0]], ('1.50', 0.9905633926391602)], [[[17.0, 241.0], [63.0, 241.0], [63.0, 256.0], [17.0, 256.0]], ('Espresso', 0.9981402158737183)], [[[136.0, 241.0], [149.0, 241.0], [149.0, 255.0], [136.0, 255.0]], ('2', 0.995888888835907)], [[[160.0, 239.0], [187.0, 239.0], [187.0, 254.0], [160.0, 254.0]], ('1.50', 0.9902414679527283)], [[[201.0, 240.0], [209.0, 240.0], [209.0, 251.0], [201.0, 251.0]], ('0', 0.6721695065498352)], [[[236.0, 236.0], [261.0, 236.0], [261.0, 251.0], [236.0, 251.0]], ('3.00', 0.9843235611915588)], [[[17.0, 262.0], [103.0, 262.0], [103.0, 276.0], [17.0, 276.0]], ('Fried Chicken with', 0.9612895250320435)], [[[137.0, 261.0], [146.0, 261.0], [146.0, 272.0], [137.0, 272.0]], ('1', 0.9770620465278625)], [[[160.0, 258.0], [186.0, 258.0], [186.0, 273.0], [160.0, 273.0]], ('3.00', 0.9859429597854614)], [[[201.0, 259.0], [209.0, 259.0], [209.0, 270.0], [201.0, 270.0]], ('0', 0.690697431564331)], [[[236.0, 256.0], [256.0, 256.0], [256.0, 272.0], [236.0, 272.0]], ('3.0', 0.8861057162284851)], [[[17.0, 280.0], [52.0, 284.0], [50.0, 300.0], [16.0, 296.0]], ('Ginger', 0.997336208820343)], [[[17.0, 302.0], [117.0, 299.0], [118.0, 313.0], [17.0, 317.0]], ('Grill Beef Slice Beef', 0.823445737361908)], [[[138.0, 300.0], [146.0, 300.0], [146.0, 311.0], [138.0, 311.0]], ('1', 0.8935889005661011)], [[[160.0, 298.0], [186.0, 298.0], [186.0, 313.0], [160.0, 313.0]], ('3.00', 0.9908332824707031)], [[[201.0, 300.0], [209.0, 300.0], [209.0, 311.0], [201.0, 311.0]], ('0', 0.6652001738548279)], [[[237.0, 297.0], [263.0, 297.0], [263.0, 312.0], [237.0, 312.0]], ('3.00', 0.9933826923370361)], [[[18.0, 321.0], [71.0, 321.0], [71.0, 339.0], [18.0, 339.0]], ('Lime Juice', 0.9771910905838013)], [[[138.0, 322.0], [146.0, 322.0], [146.0, 332.0], [138.0, 332.0]], ('1', 0.923490583896637)], [[[161.0, 319.0], [186.0, 319.0], [186.0, 334.0], [161.0, 334.0]], ('1.00', 0.9945074915885925)], [[[200.0, 319.0], [211.0, 319.0], [211.0, 335.0], [200.0, 335.0]], ('0', 0.7327607274055481)], [[[238.0, 319.0], [264.0, 319.0], [264.0, 334.0], [238.0, 334.0]], ('1.00', 0.9133241772651672)], [[[19.0, 344.0], [100.0, 344.0], [100.0, 357.0], [19.0, 357.0]], ('Steak with Green', 0.9430680274963379)], [[[138.0, 343.0], [147.0, 343.0], [147.0, 355.0], [138.0, 355.0]], ('3', 0.994021475315094)], [[[162.0, 341.0], [187.0, 341.0], [187.0, 356.0], [162.0, 356.0]], ('5.00', 0.9934172630310059)], [[[233.0, 342.0], [263.0, 342.0], [263.0, 357.0], [233.0, 357.0]], ('15.00', 0.9948022961616516)], [[[20.0, 360.0], [56.0, 363.0], [55.0, 380.0], [19.0, 377.0]], ('Pepper', 0.9812876582145691)], [[[19.0, 381.0], [71.0, 381.0], [71.0, 398.0], [19.0, 398.0]], ('Distcount', 0.9575892686843872)], [[[175.0, 380.0], [194.0, 380.0], [194.0, 397.0], [175.0, 397.0]], ('OR', 0.9896758794784546)], [[[239.0, 381.0], [264.0, 381.0], [264.0, 397.0], [239.0, 397.0]], ('0.00', 0.9941192865371704)], [[[18.0, 402.0], [96.0, 404.0], [95.0, 421.0], [18.0, 419.0]], ('Service Charge', 0.9732829332351685)], [[[177.0, 404.0], [193.0, 404.0], [193.0, 418.0], [177.0, 418.0]], ('OR', 0.9951422214508057)], [[[240.0, 404.0], [264.0, 404.0], [264.0, 420.0], [240.0, 420.0]], ('0.00', 0.9945429563522339)], [[[18.0, 429.0], [47.0, 429.0], [47.0, 444.0], [18.0, 444.0]], ('Total', 0.997477650642395)], [[[147.0, 429.0], [193.0, 429.0], [193.0, 444.0], [147.0, 444.0]], ('121,000R', 0.980309009552002)], [[[226.0, 428.0], [266.0, 428.0], [266.0, 446.0], [226.0, 446.0]], ('$30.25', 0.9843388199806213)]]	{"store_name": "KhmerGrilICoffeeandBakery", "store_addr": "WatDamnakVillage,SiemReapTown", "telephone": "(855)95839899", "date": "10.NOV-2016", "time": "12:38PM", "subtotal": "", "tax": "", "total": "$30.25", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "AnchorBeerMug", "item_value": "3.75", "item_quantity": "1"}, {"item_key": "", "item_name": "BigBottleWater", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Espresso", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FriedChickenwith", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Ginger", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GrillBeef(SliceBeef)", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LimeJuice", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SteakwithGreen", "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	[[[[81.0, 8.0], [215.0, 7.0], [216.0, 24.0], [81.0, 25.0]], ('Tel+65 6592 5118', 0.9206955432891846)], [[[78.0, 27.0], [220.0, 25.0], [221.0, 39.0], [78.0, 41.0]], ('GST REG NO:201012348R', 0.9188036918640137)], [[[50.0, 91.0], [105.0, 91.0], [105.0, 105.0], [50.0, 105.0]], ('Tb113/1', 0.9724839329719543)], [[[124.0, 89.0], [178.0, 89.0], [178.0, 106.0], [124.0, 106.0]], ('Chk 9972', 0.9436514377593994)], [[[210.0, 87.0], [254.0, 87.0], [254.0, 105.0], [210.0, 105.0]], ('Gst 2', 0.8913264274597168)], [[[106.0, 106.0], [194.0, 105.0], [194.0, 120.0], [106.0, 121.0]], ("07Dec'1220:51", 0.9188557863235474)], [[[66.0, 136.0], [124.0, 136.0], [124.0, 150.0], [66.0, 150.0]], ('1 Raviolo', 0.9116500020027161)], [[[199.0, 134.0], [232.0, 134.0], [232.0, 149.0], [199.0, 149.0]], ('26.00', 0.9964722394943237)], [[[66.0, 152.0], [154.0, 152.0], [154.0, 165.0], [66.0, 165.0]], ('1 Duck Sliders', 0.9183138012886047)], [[[200.0, 149.0], [232.0, 149.0], [232.0, 164.0], [200.0, 164.0]], ('18.00', 0.9953988790512085)], [[[66.0, 166.0], [159.0, 166.0], [159.0, 180.0], [66.0, 180.0]], ('1 Cherry Tomato', 0.928019642829895)], [[[201.0, 164.0], [233.0, 164.0], [233.0, 179.0], [201.0, 179.0]], ('16.00', 0.9973028898239136)], [[[66.0, 181.0], [154.0, 181.0], [154.0, 194.0], [66.0, 194.0]], ('1 Lamb Cut lets', 0.9190759062767029)], [[[200.0, 178.0], [233.0, 178.0], [233.0, 193.0], [200.0, 193.0]], ('59.00', 0.9953298568725586)], [[[65.0, 195.0], [141.0, 195.0], [141.0, 209.0], [65.0, 209.0]], ('1Spatchcock', 0.9842073917388916)], [[[201.0, 193.0], [234.0, 193.0], [234.0, 207.0], [201.0, 207.0]], ('47.00', 0.9972225427627563)], [[[64.0, 210.0], [105.0, 210.0], [105.0, 223.0], [64.0, 223.0]], ('1 Mash', 0.9052228927612305)], [[[201.0, 207.0], [234.0, 207.0], [234.0, 221.0], [201.0, 221.0]], ('13.00', 0.9935852885246277)], [[[64.0, 225.0], [130.0, 225.0], [130.0, 239.0], [64.0, 239.0]], ('1 Mushroom', 0.9246770143508911)], [[[202.0, 222.0], [235.0, 222.0], [235.0, 237.0], [202.0, 237.0]], ('15.00', 0.995171070098877)], [[[62.0, 240.0], [146.0, 240.0], [146.0, 254.0], [62.0, 254.0]], ('1 Tarte Tatin', 0.9276719689369202)], [[[201.0, 238.0], [236.0, 238.0], [236.0, 253.0], [201.0, 253.0]], ('20.00', 0.9974800944328308)], [[[63.0, 256.0], [116.0, 256.0], [116.0, 270.0], [63.0, 270.0]], ('1 Brulee', 0.93717360496521)], [[[202.0, 254.0], [236.0, 254.0], [236.0, 269.0], [202.0, 269.0]], ('15.00', 0.9926202893257141)], [[[62.0, 271.0], [129.0, 271.0], [129.0, 288.0], [62.0, 288.0]], ('1 Panna 1L', 0.9413436651229858)], [[[202.0, 271.0], [237.0, 271.0], [237.0, 286.0], [202.0, 286.0]], ('12.00', 0.997057318687439)], [[[62.0, 287.0], [166.0, 285.0], [166.0, 301.0], [63.0, 304.0]], ('1 Felton Road PN', 0.9336594343185425)], [[[196.0, 287.0], [237.0, 287.0], [237.0, 302.0], [196.0, 302.0]], ('175.00', 0.9922664165496826)], [[[76.0, 319.0], [129.0, 319.0], [129.0, 333.0], [76.0, 333.0]], ('SUBTOTAL', 0.9962504506111145)], [[[197.0, 318.0], [238.0, 318.0], [238.0, 333.0], [197.0, 333.0]], ('416.00', 0.9944285750389099)], [[[79.0, 336.0], [155.0, 336.0], [155.0, 347.0], [79.0, 347.0]], ('10% Serv Chg', 0.8876116275787354)], [[[203.0, 334.0], [238.0, 334.0], [238.0, 347.0], [203.0, 347.0]], ('41.60', 0.9927762746810913)]]	{"store_name": "", "store_addr": "", "telephone": "+6565925118", "date": "07Dec'12", "time": "20:51", "subtotal": "416.00", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FeltonRoadPN", "item_value": "26.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Panna1L", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Brulee", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Tartetatin", "item_value": "59.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mushroom", "item_value": "47.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Mash", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Spatchcock", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LambCutlets", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CherryTomato", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DuckSliders", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Raviolo", "item_value": "175.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[96.0, 56.0], [361.0, 57.0], [361.0, 82.0], [96.0, 81.0]], ('Thank You For Choosing', 0.9620574712753296)], [[[167.0, 90.0], [288.0, 90.0], [288.0, 111.0], [167.0, 111.0]], ('Papa Johns', 0.94947749376297)], [[[121.0, 122.0], [325.0, 122.0], [325.0, 143.0], [121.0, 143.0]], ('Restaurant # 3070', 0.9496785402297974)], [[[145.0, 150.0], [301.0, 154.0], [300.0, 179.0], [144.0, 174.0]], ('3477 Broadway', 0.9545932412147522)], [[[122.0, 185.0], [334.0, 185.0], [334.0, 206.0], [122.0, 206.0]], ('New York.NY 10031', 0.8944732546806335)], [[[149.0, 216.0], [301.0, 216.0], [301.0, 240.0], [149.0, 240.0]], ('212)368-7272', 0.9540300965309143)], [[[0.0, 245.0], [43.0, 245.0], [43.0, 269.0], [0.0, 269.0]], ('8989', 0.8808179497718811)], [[[182.0, 247.0], [300.0, 247.0], [300.0, 269.0], [182.0, 269.0]], ('01/06/2012', 0.9983187913894653)], [[[371.0, 245.0], [459.0, 247.0], [459.0, 273.0], [370.0, 270.0]], ('08:10pm', 0.9577251672744751)], [[[0.0, 276.0], [467.0, 279.0], [467.0, 299.0], [0.0, 296.0]], ('****************************************', 0.9098504781723022)], [[[150.0, 304.0], [299.0, 307.0], [299.0, 331.0], [150.0, 329.0]], ('InStore Order', 0.9666016697883606)], [[[2.0, 361.0], [59.0, 366.0], [57.0, 389.0], [0.0, 384.0]], ('Name:', 0.9369815587997437)], [[[128.0, 363.0], [320.0, 370.0], [319.0, 396.0], [127.0, 389.0]], ('lady chinky eyes', 0.9201948642730713)], [[[3.0, 421.0], [279.0, 429.0], [278.0, 454.0], [3.0, 445.0]], ('Restaurant 0rder #:0113', 0.9290798306465149)], [[[207.0, 487.0], [257.0, 487.0], [257.0, 511.0], [207.0, 511.0]], ('Visa', 0.9971014261245728)], [[[5.0, 507.0], [128.0, 507.0], [128.0, 521.0], [5.0, 521.0]], ('Twitter/@mintymin', 0.9797900915145874)]]	{"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	[[[[122.0, 10.0], [205.0, 10.0], [205.0, 23.0], [122.0, 23.0]], ('NUDORU Ramen Bar', 0.9163110256195068)], [[[133.0, 22.0], [196.0, 22.0], [196.0, 36.0], [133.0, 36.0]], ('1053282 Ave', 0.9551799297332764)], [[[130.0, 34.0], [197.0, 32.0], [197.0, 47.0], [131.0, 49.0]], ('EdmontonAB', 0.9824086427688599)], [[[144.0, 45.0], [184.0, 45.0], [184.0, 59.0], [144.0, 59.0]], ('T6E 2A4', 0.9090856909751892)], [[[133.0, 59.0], [195.0, 59.0], [195.0, 70.0], [133.0, 70.0]], ('780-757-6836', 0.9837177395820618)], [[[53.0, 81.0], [103.0, 81.0], [103.0, 95.0], [53.0, 95.0]], ('CHK:20037', 0.9358391165733337)], [[[217.0, 80.0], [261.0, 80.0], [261.0, 94.0], [217.0, 94.0]], ('Table:41', 0.960121750831604)], [[[52.0, 92.0], [98.0, 95.0], [97.0, 109.0], [52.0, 106.0]], ('Andrew L', 0.9216725826263428)], [[[115.0, 94.0], [215.0, 94.0], [215.0, 107.0], [115.0, 107.0]], ('2017-06-2417:38:52', 0.9661298394203186)], [[[231.0, 92.0], [262.0, 92.0], [262.0, 106.0], [231.0, 106.0]], ('Gst2', 0.9859046936035156)], [[[54.0, 122.0], [59.0, 122.0], [59.0, 128.0], [54.0, 128.0]], ('1', 0.5710439085960388)], [[[89.0, 117.0], [154.0, 120.0], [153.0, 134.0], [88.0, 131.0]], ('Custon Ramen', 0.9745397567749023)], [[[234.0, 116.0], [263.0, 116.0], [263.0, 130.0], [234.0, 130.0]], ('13.50', 0.9939362406730652)], [[[99.0, 132.0], [153.0, 132.0], [153.0, 143.0], [99.0, 143.0]], ('Sp1cy Miso', 0.8569599390029907)], [[[238.0, 130.0], [262.0, 130.0], [262.0, 142.0], [238.0, 142.0]], ('0.00', 0.9974769949913025)], [[[52.0, 145.0], [60.0, 145.0], [60.0, 155.0], [52.0, 155.0]], ('1', 0.8525454998016357)], [[[100.0, 145.0], [167.0, 145.0], [167.0, 156.0], [100.0, 156.0]], ('Pork Shoulder', 0.9324884414672852)], [[[238.0, 142.0], [262.0, 142.0], [262.0, 154.0], [238.0, 154.0]], ('0.00', 0.9965593814849854)], [[[52.0, 158.0], [60.0, 158.0], [60.0, 168.0], [52.0, 168.0]], ('1', 0.9730014204978943)], [[[98.0, 154.0], [156.0, 156.0], [155.0, 170.0], [98.0, 168.0]], ('Sweet Corn', 0.968929648399353)], [[[238.0, 151.0], [265.0, 154.0], [263.0, 169.0], [237.0, 166.0]], ('0.00', 0.993014931678772)], [[[52.0, 170.0], [60.0, 170.0], [60.0, 180.0], [52.0, 180.0]], ('1', 0.9482473134994507)], [[[99.0, 168.0], [195.0, 168.0], [195.0, 181.0], [99.0, 181.0]], ('Memma Bamboo shoot', 0.9301682710647583)], [[[239.0, 167.0], [263.0, 167.0], [263.0, 179.0], [239.0, 179.0]], ('0.00', 0.9966555237770081)], [[[99.0, 179.0], [121.0, 183.0], [119.0, 196.0], [97.0, 191.0]], ('Egg', 0.9342250823974609)], [[[238.0, 178.0], [264.0, 178.0], [264.0, 193.0], [238.0, 193.0]], ('0.00', 0.9950954914093018)], [[[53.0, 196.0], [58.0, 196.0], [58.0, 203.0], [53.0, 203.0]], ('1', 0.6255757808685303)], [[[88.0, 194.0], [154.0, 194.0], [154.0, 205.0], [88.0, 205.0]], ('Custom Ramen', 0.9484099745750427)], [[[235.0, 191.0], [265.0, 191.0], [265.0, 205.0], [235.0, 205.0]], ('13.50', 0.9881362915039062)], [[[99.0, 206.0], [123.0, 206.0], [123.0, 217.0], [99.0, 217.0]], ('Shio', 0.9014608263969421)], [[[240.0, 205.0], [265.0, 205.0], [265.0, 217.0], [240.0, 217.0]], ('0.00', 0.9979179501533508)], [[[51.0, 220.0], [57.0, 220.0], [57.0, 229.0], [51.0, 229.0]], ('-', 0.6735397577285767)], [[[97.0, 217.0], [155.0, 217.0], [155.0, 231.0], [97.0, 231.0]], ('Pork Belly', 0.9269779324531555)], [[[240.0, 214.0], [267.0, 216.0], [266.0, 231.0], [239.0, 229.0]], ('0.00', 0.9971466660499573)], [[[48.0, 231.0], [57.0, 231.0], [57.0, 242.0], [48.0, 242.0]], ('1', 0.7674933075904846)], [[[99.0, 231.0], [154.0, 231.0], [154.0, 242.0], [99.0, 242.0]], ('Sweet Corn', 0.9571913480758667)], [[[242.0, 229.0], [267.0, 229.0], [267.0, 241.0], [242.0, 241.0]], ('0.00', 0.9963988065719604)], [[[49.0, 244.0], [57.0, 244.0], [57.0, 254.0], [49.0, 254.0]], ('1', 0.9285036325454712)], [[[98.0, 242.0], [196.0, 242.0], [196.0, 256.0], [98.0, 256.0]], ('Memna Bamboo shoot', 0.9456152319908142)], [[[242.0, 242.0], [267.0, 242.0], [267.0, 254.0], [242.0, 254.0]], ('0.00', 0.996471643447876)], [[[49.0, 257.0], [57.0, 257.0], [57.0, 268.0], [49.0, 268.0]], ('1', 0.9776286482810974)], [[[98.0, 254.0], [120.0, 259.0], [118.0, 272.0], [95.0, 267.0]], ('Egg', 0.993194580078125)], [[[242.0, 254.0], [269.0, 254.0], [269.0, 269.0], [242.0, 269.0]], ('0.00', 0.9952613711357117)], [[[86.0, 268.0], [191.0, 267.0], [191.0, 282.0], [87.0, 283.0]], ('Dragon serfes (IPA', 0.9041087627410889)], [[[243.0, 267.0], [269.0, 267.0], [269.0, 282.0], [243.0, 282.0]], ('9.00', 0.9953508377075195)], [[[180.0, 308.0], [270.0, 308.0], [270.0, 322.0], [180.0, 322.0]], ('Subtotal:$36.00', 0.9263097643852234)], [[[210.0, 320.0], [269.0, 323.0], [269.0, 337.0], [209.0, 334.0]], ('GST$1.81', 0.9804390668869019)], [[[198.0, 338.0], [268.0, 338.0], [268.0, 349.0], [198.0, 349.0]], ('lota1$37.81', 0.8932531476020813)], [[[136.0, 390.0], [196.0, 392.0], [195.0, 409.0], [135.0, 407.0]], ('Thank You!', 0.9381549954414368)], [[[104.0, 404.0], [229.0, 407.0], [228.0, 424.0], [104.0, 421.0]], ('Please Come Back Soon', 0.9305040240287781)], [[[104.0, 420.0], [229.0, 422.0], [228.0, 436.0], [104.0, 434.0]], ('GST#815302120RT0001', 0.9742537140846252)]]	{"store_name": "NUDORURamenBar", "store_addr": "1053282Ave Edmonton,AB T6E2A4", "telephone": "780-757-6836", "date": "2017-06-24", "time": "17:38:52", "subtotal": "$36.00", "tax": "$1.81", "total": "$37.81", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CustomRamen", "item_value": "13.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SpicyMiso", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PorkShoulder", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SweetCorn", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MemmaBambooshoot", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Egg", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CustomRamen", "item_value": "13.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Shio", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PorkBelly", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SweetCorn", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NemmaBambooshoot", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Egg", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Dragonseries(IPA)", "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	[[[[134.0, 138.0], [444.0, 137.0], [444.0, 159.0], [134.0, 160.0]], ("McDonald's Pioneer Mal1", 0.9201331734657288)], [[[130.0, 163.0], [388.0, 163.0], [388.0, 185.0], [130.0, 185.0]], ('BLK 638,#01-01/02', 0.925628662109375)], [[[126.0, 190.0], [363.0, 189.0], [363.0, 211.0], [126.0, 212.0]], ('Jurong West St 61', 0.9376875758171082)], [[[120.0, 214.0], [349.0, 217.0], [349.0, 242.0], [119.0, 240.0]], ('Singapore 640638', 0.9801137447357178)], [[[118.0, 243.0], [304.0, 245.0], [304.0, 268.0], [117.0, 266.0]], ('Te:67958902', 0.960362434387207)], [[[111.0, 271.0], [478.0, 272.0], [478.0, 298.0], [111.0, 297.0]], ('GST REGN NO:M2-0023981-4', 0.9349765777587891)], [[[312.0, 329.0], [482.0, 332.0], [481.0, 361.0], [312.0, 358.0]], ('TAX INVOICE', 0.9740599989891052)], [[[81.0, 418.0], [659.0, 432.0], [658.0, 464.0], [80.0, 450.0]], ('#ORD59-REG17-26/03/2011 16:05:02', 0.9488388895988464)], [[[75.0, 454.0], [210.0, 457.0], [209.0, 486.0], [75.0, 483.0]], ('QTY ITEM', 0.9448131918907166)], [[[611.0, 468.0], [694.0, 468.0], [694.0, 499.0], [611.0, 499.0]], ('TOTAL', 0.9982017278671265)], [[[104.0, 490.0], [448.0, 502.0], [447.0, 534.0], [103.0, 522.0]], ('1 Latte Himalayan Tea', 0.9308797121047974)], [[[628.0, 505.0], [702.0, 505.0], [702.0, 535.0], [628.0, 535.0]], ('3.90', 0.9981710314750671)], [[[58.0, 565.0], [448.0, 577.0], [447.0, 609.0], [57.0, 597.0]], ('Eat-In Total incl GST)', 0.9204723238945007)], [[[634.0, 577.0], [714.0, 575.0], [715.0, 610.0], [636.0, 613.0]], ('3.90', 0.9972562193870544)], [[[52.0, 604.0], [281.0, 613.0], [280.0, 646.0], [51.0, 638.0]], ('Cash Tendered', 0.9735445380210876)], [[[643.0, 617.0], [718.0, 614.0], [720.0, 646.0], [644.0, 649.0]], ('4.00', 0.9964717030525208)], [[[42.0, 645.0], [154.0, 649.0], [152.0, 688.0], [41.0, 684.0]], ('Change', 0.9983763694763184)], [[[645.0, 655.0], [726.0, 652.0], [727.0, 689.0], [646.0, 692.0]], ('0.10', 0.9967741966247559)], [[[35.0, 734.0], [415.0, 742.0], [415.0, 778.0], [35.0, 770.0]], ('TOTAL INCLUDES GST OF', 0.9476616382598877)], [[[655.0, 738.0], [740.0, 736.0], [741.0, 777.0], [656.0, 780.0]], ('0.26', 0.9955819845199585)], [[[20.0, 827.0], [454.0, 836.0], [454.0, 874.0], [19.0, 865.0]], ('Transaction ID:EFFASQ', 0.9540498852729797)], [[[204.0, 880.0], [749.0, 889.0], [748.0, 929.0], [203.0, 920.0]], ('Thank You & Have A Nice Day', 0.9348256587982178)], [[[198.0, 931.0], [746.0, 940.0], [745.0, 983.0], [198.0, 974.0]], ('Thank You & Have A Nice Day', 0.9242011904716492)]]	{"store_name": "McDonald'sPioneerMall", "store_addr": "Singapore640638 JurongWestst61 BLK638,#0101/02,", "telephone": "67958902", "date": "26/03/2011", "time": "16:05:02", "subtotal": "", "tax": "0.26", "total": "3.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LatteHimalayanTea", "item_value": "3.90", "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	[[[[669.0, 8.0], [721.0, 8.0], [721.0, 44.0], [669.0, 44.0]], ('EUR', 0.9970827102661133)], [[[81.0, 52.0], [276.0, 50.0], [276.0, 82.0], [82.0, 85.0]], ('Erdbeer-Minze', 0.9888438582420349)], [[[624.0, 50.0], [719.0, 50.0], [719.0, 84.0], [624.0, 84.0]], ('078A', 0.9826163649559021)], [[[136.0, 88.0], [193.0, 88.0], [193.0, 123.0], [136.0, 123.0]], ('2x', 0.7971344590187073)], [[[333.0, 86.0], [403.0, 86.0], [403.0, 126.0], [333.0, 126.0]], ('0,39', 0.9508358240127563)], [[[155.0, 127.0], [308.0, 127.0], [308.0, 159.0], [155.0, 159.0]], ('RABATT 30%', 0.9482205510139465)], [[[609.0, 124.0], [691.0, 124.0], [691.0, 163.0], [609.0, 163.0]], ('-0,24', 0.8989343643188477)], [[[84.0, 203.0], [336.0, 205.0], [336.0, 237.0], [84.0, 234.0]], ('Joghurt mi1d 500g', 0.9347490668296814)], [[[620.0, 204.0], [716.0, 204.0], [716.0, 238.0], [620.0, 238.0]], ('045A', 0.9910863041877747)], [[[83.0, 240.0], [323.0, 245.0], [322.0, 275.0], [82.0, 270.0]], ('Gehackte Tomaten', 0.9752377271652222)], [[[619.0, 243.0], [716.0, 243.0], [716.0, 276.0], [619.0, 276.0]], ('039A', 0.9922159910202026)], [[[82.0, 278.0], [277.0, 281.0], [277.0, 313.0], [81.0, 310.0]], ('Kidney-bohnen', 0.9914082288742065)], [[[617.0, 281.0], [715.0, 281.0], [715.0, 314.0], [617.0, 314.0]], ('039A', 0.9883178472518921)], [[[83.0, 318.0], [291.0, 318.0], [291.0, 349.0], [83.0, 349.0]], ('Gouda gerieben', 0.9728575944900513)], [[[619.0, 319.0], [715.0, 319.0], [715.0, 352.0], [619.0, 352.0]], ('1,59A', 0.9173654317855835)], [[[83.0, 353.0], [263.0, 356.0], [262.0, 387.0], [82.0, 384.0]], ('Bio Apfelmus', 0.9452278017997742)], [[[617.0, 356.0], [715.0, 356.0], [715.0, 388.0], [617.0, 388.0]], ('0,79 A', 0.8239642977714539)], [[[83.0, 391.0], [383.0, 395.0], [382.0, 426.0], [83.0, 422.0]], ('Katzenna.Gef1.400g', 0.9599143266677856)], [[[616.0, 392.0], [715.0, 392.0], [715.0, 425.0], [616.0, 425.0]], ('0,98A', 0.9345639944076538)], [[[139.0, 429.0], [195.0, 429.0], [195.0, 460.0], [139.0, 460.0]], ('2x', 0.8369611501693726)], [[[333.0, 431.0], [396.0, 431.0], [396.0, 461.0], [333.0, 461.0]], ('0,49', 0.8951447010040283)], [[[80.0, 464.0], [380.0, 468.0], [380.0, 498.0], [80.0, 494.0]], ('Katzennahr.Rind 400g', 0.9770305752754211)], [[[617.0, 461.0], [715.0, 461.0], [715.0, 494.0], [617.0, 494.0]], ('0,49A', 0.9006608724594116)], [[[82.0, 502.0], [377.0, 505.0], [377.0, 532.0], [81.0, 529.0]], ('Katzennah. Ente 400g', 0.9533973932266235)], [[[616.0, 498.0], [715.0, 495.0], [716.0, 528.0], [617.0, 531.0]], ('049 A', 0.9017757177352905)], [[[83.0, 540.0], [276.0, 540.0], [276.0, 567.0], [83.0, 567.0]], ('Hummus Pikant', 0.9584568738937378)], [[[617.0, 533.0], [717.0, 533.0], [717.0, 566.0], [617.0, 566.0]], ('0,99A', 0.9101144075393677)], [[[80.0, 575.0], [317.0, 572.0], [317.0, 604.0], [80.0, 607.0]], ('H-Mi1ch 15% OGT', 0.901506245136261)], [[[619.0, 573.0], [715.0, 573.0], [715.0, 601.0], [619.0, 601.0]], ('063A', 0.9854347705841064)], [[[83.0, 612.0], [349.0, 609.0], [349.0, 640.0], [83.0, 643.0]], ('Hahncheninnenfilet', 0.9883714318275452)], [[[614.0, 607.0], [714.0, 604.0], [715.0, 638.0], [615.0, 641.0]], ('229A', 0.9942156076431274)], [[[88.0, 650.0], [319.0, 650.0], [319.0, 677.0], [88.0, 677.0]], ('Goldessa Krauter', 0.9710155725479126)], [[[616.0, 646.0], [712.0, 646.0], [712.0, 675.0], [616.0, 675.0]], ('085A', 0.987028956413269)], [[[88.0, 686.0], [364.0, 686.0], [364.0, 714.0], [88.0, 714.0]], ('6 Sonntags-Brotchen', 0.9686005115509033)], [[[616.0, 680.0], [711.0, 680.0], [711.0, 714.0], [616.0, 714.0]], ('1,98A', 0.9131747484207153)], [[[143.0, 720.0], [196.0, 720.0], [196.0, 752.0], [143.0, 752.0]], ('2x', 0.8130008578300476)], [[[333.0, 718.0], [397.0, 718.0], [397.0, 752.0], [333.0, 752.0]], ('0,99', 0.9336990714073181)], [[[85.0, 756.0], [223.0, 756.0], [223.0, 787.0], [85.0, 787.0]], ('Knoblauch', 0.9825365543365479)], [[[612.0, 752.0], [709.0, 752.0], [709.0, 784.0], [612.0, 784.0]], ('0,99 A', 0.8495998978614807)], [[[84.0, 789.0], [293.0, 792.0], [293.0, 824.0], [84.0, 821.0]], ('Broccoli 1000g', 0.9323696494102478)], [[[616.0, 788.0], [708.0, 788.0], [708.0, 821.0], [616.0, 821.0]], ('1,49A', 0.8922268152236938)], [[[87.0, 831.0], [308.0, 831.0], [308.0, 859.0], [87.0, 859.0]], ('Champign.braun', 0.9899010062217712)], [[[616.0, 825.0], [709.0, 825.0], [709.0, 858.0], [616.0, 858.0]], ('1,09 A', 0.85107421875)], [[[83.0, 865.0], [193.0, 865.0], [193.0, 897.0], [83.0, 897.0]], ('Bananen', 0.9967595338821411)], [[[613.0, 862.0], [709.0, 862.0], [709.0, 894.0], [613.0, 894.0]], ('0,30A', 0.9185560941696167)], [[[109.0, 902.0], [338.0, 898.0], [339.0, 931.0], [110.0, 935.0]], ('0,306 kg x 0,99', 0.8616144061088562)], [[[377.0, 895.0], [472.0, 899.0], [471.0, 935.0], [376.0, 932.0]], ('EUR/kg', 0.986940860748291)], [[[81.0, 939.0], [177.0, 939.0], [177.0, 971.0], [81.0, 971.0]], ('Gurken', 0.9976773858070374)], [[[616.0, 935.0], [711.0, 935.0], [711.0, 967.0], [616.0, 967.0]], ('0,44A', 0.8907450437545776)], [[[79.0, 975.0], [273.0, 975.0], [273.0, 1007.0], [79.0, 1007.0]], ('Mineralwasser', 0.9855458736419678)], [[[619.0, 973.0], [713.0, 973.0], [713.0, 1005.0], [619.0, 1005.0]], ('1,14B', 0.896689236164093)], [[[136.0, 1012.0], [192.0, 1012.0], [192.0, 1047.0], [136.0, 1047.0]], ('6x', 0.8139923214912415)], [[[332.0, 1007.0], [401.0, 1007.0], [401.0, 1046.0], [332.0, 1046.0]], ('0,19', 0.8845921158790588)], [[[76.0, 1053.0], [276.0, 1050.0], [276.0, 1081.0], [76.0, 1084.0]], ('Pfand 025 EM', 0.9236908555030823)], [[[624.0, 1046.0], [721.0, 1046.0], [721.0, 1084.0], [624.0, 1084.0]], ('1,50B', 0.9242839813232422)], [[[133.0, 1089.0], [189.0, 1089.0], [189.0, 1126.0], [133.0, 1126.0]], ('6x', 0.8216226100921631)], [[[331.0, 1084.0], [400.0, 1084.0], [400.0, 1123.0], [331.0, 1123.0]], ('0,25', 0.92366623878479)], [[[77.0, 1169.0], [348.0, 1163.0], [350.0, 1221.0], [78.0, 1227.0]], ('zu zahlen', 0.9446933269500732)], [[[565.0, 1161.0], [720.0, 1161.0], [720.0, 1222.0], [565.0, 1222.0]], ('19,80', 0.9412743449211121)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "19,80", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Erdbeer-Minze", "item_value": "0,78", "item_quantity": "1"}, {"item_key": "", "item_name": "Joghurtmild500g", "item_value": "-0,24", "item_quantity": "1"}, {"item_key": "", "item_name": "GehackteTomaten", "item_value": "0,45", "item_quantity": "1"}, {"item_key": "", "item_name": "Kidney-bohnen", "item_value": "0,39", "item_quantity": "1"}, {"item_key": "", "item_name": "Goudagerieben", "item_value": "0,39", "item_quantity": "1"}, {"item_key": "", "item_name": "BioApfelmus", "item_value": "1,59", "item_quantity": "1"}, {"item_key": "", "item_name": "Katzenna.Gefl.400g", "item_value": "0,79", "item_quantity": "1"}, {"item_key": "", "item_name": "Katzennahr.Rind400g", "item_value": "0,98", "item_quantity": "1"}, {"item_key": "", "item_name": "Katzennah.Ente400g", "item_value": "0,49", "item_quantity": "1"}, {"item_key": "", "item_name": "HummusPikant", "item_value": "0,49", "item_quantity": "1"}, {"item_key": "", "item_name": "H-Milch1,5%OGT", "item_value": "0,99", "item_quantity": "1"}, {"item_key": "", "item_name": "H\u00e4hncheninnenfilet", "item_value": "0,63", "item_quantity": "1"}, {"item_key": "", "item_name": "GoldessaKr\u00e4uter", "item_value": "2,29", "item_quantity": "1"}, {"item_key": "", "item_name": "6Sonntags-Br\u00f6tchen", "item_value": "0,85", "item_quantity": "1"}, {"item_key": "", "item_name": "Knoblauch", "item_value": "1,98", "item_quantity": "1"}, {"item_key": "", "item_name": "Broccoli1000g", "item_value": "0,99", "item_quantity": "1"}, {"item_key": "", "item_name": "Champion.braun", "item_value": "1,49", "item_quantity": "1"}, {"item_key": "", "item_name": "Bananen", "item_value": "1,09", "item_quantity": "1"}, {"item_key": "", "item_name": "Gurken", "item_value": "0,30", "item_quantity": "1"}, {"item_key": "", "item_name": "Mineralwasser", "item_value": "0,44", "item_quantity": "1"}, {"item_key": "", "item_name": "Pfand0,25EM", "item_value": "1,14", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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	[[[[203.0, 51.0], [461.0, 48.0], [461.0, 73.0], [204.0, 76.0]], ('Restaurant Ethan', 0.979537308216095)], [[[226.0, 72.0], [457.0, 68.0], [457.0, 85.0], [226.0, 90.0]], ('72A De la Gauchechlere Quest', 0.9150823950767517)], [[[265.0, 86.0], [408.0, 85.0], [408.0, 101.0], [265.0, 102.0]], ('MontrealQuebec', 0.9674662351608276)], [[[304.0, 102.0], [367.0, 100.0], [368.0, 114.0], [305.0, 117.0]], ('H2Z1C1', 0.9870137572288513)], [[[265.0, 117.0], [410.0, 111.0], [410.0, 129.0], [266.0, 135.0]], ('Tel:514 8610815', 0.9208394885063171)], [[[219.0, 150.0], [465.0, 145.0], [466.0, 174.0], [220.0, 179.0]], ('INV0ICE86907-1', 0.9800122380256653)], [[[160.0, 206.0], [464.0, 200.0], [465.0, 229.0], [160.0, 236.0]], ('TABLE #18 CLIENT #1', 0.9278626441955566)], [[[157.0, 239.0], [193.0, 239.0], [193.0, 272.0], [157.0, 272.0]], ('#1', 0.9977612495422363)], [[[159.0, 271.0], [371.0, 268.0], [371.0, 286.0], [159.0, 290.0]], ('2015-08-23 20:45:57 Waiter', 0.9396568536758423)], [[[161.0, 314.0], [396.0, 310.0], [396.0, 328.0], [161.0, 331.0]], ('15.Dumplings au porc et nappa', 0.9401983022689819)], [[[489.0, 306.0], [536.0, 302.0], [539.0, 324.0], [492.0, 329.0]], ('$3.95', 0.9116445779800415)], [[[162.0, 333.0], [357.0, 331.0], [357.0, 349.0], [162.0, 351.0]], ('41.Riz au poulet et mais', 0.9372091889381409)], [[[491.0, 327.0], [536.0, 323.0], [537.0, 344.0], [493.0, 348.0]], ('$7.95', 0.9916290044784546)], [[[163.0, 353.0], [396.0, 350.0], [396.0, 369.0], [163.0, 372.0]], ('63.Pate de riz saute au boeuf', 0.9332989454269409)], [[[492.0, 348.0], [536.0, 348.0], [536.0, 368.0], [492.0, 368.0]], ('$8.95', 0.9897552728652954)], [[[166.0, 374.0], [445.0, 370.0], [445.0, 387.0], [166.0, 392.0]], ('129.Riz au Char Siu et canard laque', 0.9411134123802185)], [[[491.0, 368.0], [536.0, 368.0], [536.0, 388.0], [491.0, 388.0]], ('$7.50', 0.9909054636955261)], [[[167.0, 395.0], [472.0, 389.0], [472.0, 407.0], [167.0, 413.0]], ('158.Soupe au Char Siu Canard avec Verm', 0.9329460263252258)], [[[491.0, 388.0], [535.0, 388.0], [535.0, 407.0], [491.0, 407.0]], ('$6.95', 0.9940608143806458)], [[[167.0, 415.0], [446.0, 410.0], [446.0, 427.0], [167.0, 431.0]], ('119.Choy sum a la sauce aux huitres', 0.933346688747406)], [[[490.0, 408.0], [534.0, 405.0], [535.0, 425.0], [491.0, 427.0]], ('$7.50', 0.9967873692512512)], [[[168.0, 432.0], [375.0, 429.0], [375.0, 448.0], [169.0, 451.0]], ('B1.The au lait glace Petit', 0.9316885471343994)], [[[490.0, 427.0], [534.0, 425.0], [535.0, 445.0], [491.0, 447.0]], ('$2.50', 0.9958286285400391)], [[[167.0, 452.0], [390.0, 448.0], [390.0, 466.0], [167.0, 470.0]], ('B3.The au citron glace Petit', 0.950713038444519)], [[[492.0, 447.0], [534.0, 447.0], [534.0, 462.0], [492.0, 462.0]], ('$2.50', 0.9721578359603882)], [[[167.0, 469.0], [306.0, 468.0], [306.0, 485.0], [167.0, 487.0]], ('01.0rigina1 Petit', 0.9001278877258301)], [[[491.0, 464.0], [536.0, 464.0], [536.0, 482.0], [491.0, 482.0]], ('$3.00', 0.9976891279220581)], [[[166.0, 505.0], [240.0, 505.0], [240.0, 523.0], [166.0, 523.0]], ('SUB-TOTAL', 0.9935406446456909)], [[[485.0, 500.0], [537.0, 498.0], [538.0, 516.0], [486.0, 519.0]], ('$50.80', 0.9949941039085388)], [[[165.0, 525.0], [336.0, 522.0], [337.0, 540.0], [165.0, 543.0]], ('TPS832328710RT0001)', 0.9679807424545288)], [[[494.0, 518.0], [540.0, 515.0], [542.0, 536.0], [495.0, 539.0]], ('$2.54', 0.9927904009819031)], [[[164.0, 544.0], [344.0, 542.0], [344.0, 559.0], [164.0, 562.0]], ('TVQ1217436229TQ0001)', 0.9692574739456177)], [[[498.0, 539.0], [541.0, 539.0], [541.0, 557.0], [498.0, 557.0]], ('$5.07', 0.9956981539726257)], [[[165.0, 564.0], [244.0, 564.0], [244.0, 582.0], [165.0, 582.0]], ('TOTAL', 0.9984865188598633)], [[[443.0, 559.0], [541.0, 558.0], [541.0, 577.0], [443.0, 578.0]], ('$58.41', 0.9095467925071716)], [[[261.0, 603.0], [436.0, 601.0], [436.0, 619.0], [261.0, 621.0]], ('Merci de votre visite', 0.9365073442459106)], [[[236.0, 625.0], [470.0, 620.0], [470.0, 638.0], [237.0, 644.0]], ('et au plaisir de vous servir', 0.9456809163093567)], [[[246.0, 667.0], [460.0, 661.0], [460.0, 690.0], [247.0, 696.0]], ('BONNE JOURNEE', 0.9724083542823792)], [[[263.0, 731.0], [463.0, 729.0], [463.0, 747.0], [263.0, 749.0]], ('52.54$I5.07$', 0.8299662470817566)], [[[238.0, 755.0], [379.0, 755.0], [379.0, 773.0], [238.0, 773.0]], ('lotal:', 0.8196654915809631)], [[[376.0, 752.0], [496.0, 752.0], [496.0, 773.0], [376.0, 773.0]], ('58.41$', 0.959171712398529)], [[[292.0, 778.0], [435.0, 777.0], [435.0, 796.0], [292.0, 797.0]], ('FACTURE ORIGINALE', 0.9742406010627747)], [[[155.0, 864.0], [520.0, 860.0], [520.0, 879.0], [156.0, 882.0]], ('2015-08-2321:10:04 MEV14113401-10300101', 0.9619328379631042)], [[[154.0, 882.0], [314.0, 881.0], [314.0, 900.0], [155.0, 901.0]], ('7769270 CANADA INC', 0.9512678980827332)], [[[150.0, 905.0], [294.0, 903.0], [294.0, 924.0], [150.0, 926.0]], ('RESTAURANT ETHAN', 0.9734758138656616)], [[[148.0, 930.0], [480.0, 927.0], [481.0, 948.0], [148.0, 951.0]], ('72ARUE DE LA GAUCHETIERE O MONTREAL', 0.9422545433044434)], [[[146.0, 951.0], [414.0, 949.0], [414.0, 970.0], [146.0, 972.0]], ('-3', 0.5849733352661133)]]	{"store_name": "RESTAURANTETHAN RestaurantEthan", "store_addr": "H2Z1C1 Montreal,Quebec 72ADelaGauchechiereQuest", "telephone": "5148610815", "date": "2015-08-23 2015-08-23", "time": "21:10:04", "subtotal": "$50.80", "tax": "TPS:2.54$TVQ:5.07$ $5.07 $2.54", "total": "58.41$ $58.41", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "D1.OriginalPetit", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "B3.TheaucitronglacePetit", "item_value": "$2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "B1.TheaulaitglacePetit", "item_value": "$2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "119.Choysumalasauceauxhuitres", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "158.SoupeauCharSiuCanardavecVerm", "item_value": "$6.85", "item_quantity": "1"}, {"item_key": "", "item_name": "129.RizauCharSiuetcanardlaque", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "63.Patederizsauteauboeuf", "item_value": "$8.95", "item_quantity": "1"}, {"item_key": "", "item_name": "41.Rizaupouletetmais", "item_value": "$7.95", "item_quantity": "1"}, {"item_key": "", "item_name": "15.Dumplingsauporcetnappa", "item_value": "$3.95", "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	[[[[61.0, 17.0], [178.0, 18.0], [178.0, 33.0], [61.0, 32.0]], ('EWWOOLWORTH2280', 0.9017181396484375)], [[[18.0, 33.0], [224.0, 34.0], [224.0, 48.0], [18.0, 47.0]], ('4200 BLUERIDGE BLVD BLUERIDGE MALL', 0.9302305579185486)], [[[56.0, 47.0], [179.0, 48.0], [179.0, 63.0], [56.0, 61.0]], ('KANSAS CITY HO 64133', 0.911328911781311)], [[[79.0, 61.0], [157.0, 64.0], [157.0, 78.0], [79.0, 76.0]], ('REGULAR SALE', 0.9600529670715332)], [[[6.0, 79.0], [231.0, 79.0], [231.0, 92.0], [6.0, 92.0]], ('09/20/97 14:10 0002280 002 00250 6859', 0.9238269925117493)], [[[4.0, 94.0], [140.0, 92.0], [140.0, 105.0], [4.0, 108.0]], ('CASHIER.000001631', 0.9458409547805786)], [[[139.0, 93.0], [197.0, 93.0], [197.0, 108.0], [139.0, 108.0]], ('THERESA', 0.9292073249816895)], [[[4.0, 136.0], [72.0, 136.0], [72.0, 151.0], [4.0, 151.0]], ('04818862759', 0.993135392665863)], [[[85.0, 136.0], [180.0, 137.0], [180.0, 152.0], [85.0, 151.0]], ('SESAME STREET R', 0.946846067905426)], [[[199.0, 137.0], [230.0, 140.0], [229.0, 154.0], [198.0, 151.0]], ('4.79', 0.9774082899093628)], [[[5.0, 154.0], [72.0, 154.0], [72.0, 165.0], [5.0, 165.0]], ('04818862759', 0.9958783984184265)], [[[86.0, 150.0], [181.0, 153.0], [181.0, 167.0], [85.0, 165.0]], ('SESAME STREET R', 0.9392343759536743)], [[[197.0, 154.0], [231.0, 154.0], [231.0, 168.0], [197.0, 168.0]], ('4.79', 0.9815251231193542)], [[[6.0, 168.0], [72.0, 168.0], [72.0, 179.0], [6.0, 179.0]], ('09060500102', 0.9949526190757751)], [[[87.0, 165.0], [149.0, 167.0], [148.0, 181.0], [86.0, 179.0]], ('W>SALINE', 0.9272782206535339)], [[[197.0, 168.0], [232.0, 168.0], [232.0, 182.0], [197.0, 182.0]], ('1.18', 0.9871113300323486)], [[[4.0, 181.0], [72.0, 181.0], [72.0, 196.0], [4.0, 196.0]], ('04711368701', 0.9952518343925476)], [[[86.0, 181.0], [132.0, 181.0], [132.0, 196.0], [86.0, 196.0]], ('AO DISC', 0.8940609693527222)], [[[197.0, 182.0], [231.0, 182.0], [231.0, 198.0], [197.0, 198.0]], ('3.58', 0.9611667394638062)], [[[3.0, 199.0], [71.0, 199.0], [71.0, 210.0], [3.0, 210.0]], ('04818862759', 0.9960736632347107)], [[[86.0, 197.0], [181.0, 199.0], [181.0, 212.0], [85.0, 210.0]], ('SESAME STREET R', 0.9327598810195923)], [[[2.0, 212.0], [72.0, 212.0], [72.0, 226.0], [2.0, 226.0]], ('07046254250', 0.9953355193138123)], [[[86.0, 212.0], [181.0, 214.0], [181.0, 228.0], [85.0, 225.0]], ('SWEDISH RED FIS', 0.9592260122299194)], [[[200.0, 214.0], [235.0, 214.0], [235.0, 228.0], [200.0, 228.0]], ('0.30', 0.9143437743186951)], [[[4.0, 228.0], [71.0, 228.0], [71.0, 240.0], [4.0, 240.0]], ('07046254250', 0.9954150915145874)], [[[86.0, 226.0], [180.0, 229.0], [180.0, 243.0], [85.0, 241.0]], ('SWEDISH RED FIS', 0.9608903527259827)], [[[200.0, 228.0], [235.0, 228.0], [235.0, 243.0], [200.0, 243.0]], ('0.30', 0.9811175465583801)], [[[4.0, 243.0], [71.0, 243.0], [71.0, 254.0], [4.0, 254.0]], ('76487840900', 0.991023063659668)], [[[85.0, 243.0], [180.0, 243.0], [180.0, 256.0], [85.0, 256.0]], ('SINGLE CANDOLIE', 0.9752288460731506)], [[[200.0, 241.0], [234.0, 244.0], [233.0, 260.0], [199.0, 257.0]], ('0.95', 0.9795428514480591)], [[[3.0, 255.0], [196.0, 257.0], [196.0, 271.0], [3.0, 269.0]], ('DISCOUNT 8 CODE 1PROHOTIONAL', 0.9358715415000916)], [[[39.0, 271.0], [133.0, 271.0], [133.0, 285.0], [39.0, 285.0]], ('ON. 1 ITEMS', 0.8525002002716064)], [[[194.0, 272.0], [228.0, 272.0], [228.0, 287.0], [194.0, 287.0]], ('-0.29', 0.9509361386299133)], [[[45.0, 287.0], [126.0, 287.0], [126.0, 299.0], [45.0, 299.0]], ('30PERCENT OFF', 0.9538506269454956)], [[[5.0, 298.0], [173.0, 300.0], [173.0, 315.0], [5.0, 312.0]], ('76487840550100UL LITE SET', 0.9539272785186768)], [[[199.0, 301.0], [232.0, 301.0], [232.0, 315.0], [199.0, 315.0]], ('4.79', 0.9650143384933472)], [[[6.0, 313.0], [196.0, 316.0], [196.0, 329.0], [6.0, 327.0]], ('DISCOUNT 8 CODE 1PROMOTIONAL', 0.9326446652412415)], [[[41.0, 330.0], [111.0, 330.0], [111.0, 341.0], [41.0, 341.0]], ('ON 1ITENS', 0.911010205745697)], [[[193.0, 330.0], [232.0, 330.0], [232.0, 344.0], [193.0, 344.0]], ('-1.44', 0.8167319297790527)], [[[45.0, 342.0], [125.0, 343.0], [125.0, 358.0], [45.0, 356.0]], ('30PERCENT OFF', 0.9609532952308655)], [[[6.0, 355.0], [77.0, 358.0], [77.0, 371.0], [5.0, 369.0]], ('38137000768', 0.9946174621582031)], [[[85.0, 359.0], [170.0, 359.0], [170.0, 372.0], [85.0, 372.0]], ('SHOWER/SHWSOZ.', 0.9463542103767395)], [[[197.0, 355.0], [231.0, 358.0], [230.0, 373.0], [196.0, 370.0]], ('1.74', 0.9808963537216187)], [[[7.0, 369.0], [74.0, 371.0], [73.0, 385.0], [6.0, 383.0]], ('07103116720', 0.9895578026771545)], [[[87.0, 373.0], [171.0, 373.0], [171.0, 386.0], [87.0, 386.0]], ('W>PERF THED.', 0.8690419793128967)], [[[197.0, 373.0], [232.0, 373.0], [232.0, 387.0], [197.0, 387.0]], ('1.00', 0.9930508732795715)], [[[6.0, 385.0], [53.0, 385.0], [53.0, 399.0], [6.0, 399.0]], ('0344400', 0.9921337962150574)], [[[86.0, 386.0], [178.0, 386.0], [178.0, 399.0], [86.0, 399.0]], ('REESES P.B.CUP', 0.9408664703369141)], [[[196.0, 386.0], [230.0, 386.0], [230.0, 401.0], [196.0, 401.0]], ('0.35', 0.978083074092865)], [[[8.0, 401.0], [72.0, 401.0], [72.0, 412.0], [8.0, 412.0]], ('04000002103', 0.998055636882782)], [[[86.0, 401.0], [178.0, 401.0], [178.0, 414.0], [86.0, 414.0]], ('3 MUSKETEERS 10', 0.909356415271759)], [[[196.0, 401.0], [231.0, 401.0], [231.0, 415.0], [196.0, 415.0]], ('0.89', 0.9752228260040283)], [[[7.0, 426.0], [68.0, 428.0], [67.0, 443.0], [6.0, 440.0]], ('SUBTOTAL', 0.981797993183136)], [[[192.0, 427.0], [226.0, 430.0], [225.0, 444.0], [190.0, 441.0]], ('18.14', 0.9896071553230286)], [[[6.0, 441.0], [69.0, 444.0], [68.0, 458.0], [5.0, 456.0]], ('6.60.TAX', 0.9113175868988037)], [[[195.0, 441.0], [225.0, 444.0], [223.0, 458.0], [193.0, 455.0]], ('1.20', 0.9654163122177124)], [[[7.0, 458.0], [106.0, 458.0], [106.0, 471.0], [7.0, 471.0]], ('TOTAL BALANCE DUE', 0.9494690895080566)], [[[190.0, 455.0], [225.0, 458.0], [224.0, 473.0], [189.0, 470.0]], ('19.34', 0.9726675152778625)], [[[6.0, 472.0], [228.0, 472.0], [228.0, 486.0], [6.0, 486.0]], ('-AMOUNT TENDERED IN PAYMENT ', 0.91347736120224)], [[[6.0, 484.0], [113.0, 486.0], [113.0, 501.0], [6.0, 500.0]], ('PAYMENT BYCASH', 0.9325582385063171)], [[[191.0, 483.0], [225.0, 486.0], [224.0, 501.0], [189.0, 498.0]], ('20.00', 0.9943842887878418)], [[[4.0, 499.0], [67.0, 501.0], [66.0, 515.0], [3.0, 513.0]], ('CHANGE', 0.9904062747955322)], [[[193.0, 501.0], [224.0, 501.0], [224.0, 516.0], [193.0, 516.0]], ('0.66', 0.9540951251983643)], [[[73.0, 541.0], [163.0, 542.0], [163.0, 556.0], [73.0, 555.0]], ('ALL SALES FINAL', 0.9365689158439636)], [[[51.0, 555.0], [188.0, 557.0], [187.0, 572.0], [50.0, 569.0]], ('NO RETURNS OR EXCHANGES', 0.9587135314941406)], [[[61.0, 569.0], [172.0, 572.0], [172.0, 586.0], [61.0, 584.0]], ('THANKYOU', 0.9583015441894531)]]	{"store_name": "FWWOOLWORTH#2280", "store_addr": "KANSASCITYMO64133 4200BLUERIDGEBLVDBLUERIDGEMALL", "telephone": "", "date": "09/20/97", "time": "14:10", "subtotal": "18.14", "tax": "1.20", "total": "19.34", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MUSKETEERS", "item_value": "0.89", "item_quantity": "1"}, {"item_key": "", "item_name": "REESE'SP.B.CUP", "item_value": "0.35", "item_quantity": "1"}, {"item_key": "", "item_name": "<W>PERFTMED.", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SHOWER/SHW80Z.", "item_value": "1.74", "item_quantity": "1"}, {"item_key": "", "item_name": "76487840550100ULLITESET", "item_value": "-1.44", "item_quantity": "1"}, {"item_key": "", "item_name": "CANDOLIE", "item_value": "4.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SWEDISHREDFIS", "item_value": "-0.29", "item_quantity": "1"}, {"item_key": "", "item_name": "SWEDISHREDFIS", "item_value": "0.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SESAMESTREETR", "item_value": "0.30", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDISC", "item_value": "0.30", "item_quantity": "1"}, {"item_key": "", "item_name": "SALINE", "item_value": "-4.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SESAMESTREETR", "item_value": "3.58", "item_quantity": "1"}, {"item_key": "", "item_name": "SESAMESTREETR", "item_value": "1.18", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "4.79", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "4.79", "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	[[[[76.0, 10.0], [205.0, 10.0], [205.0, 32.0], [76.0, 32.0]], ('END', 0.9959527850151062)], [[[196.0, 11.0], [450.0, 11.0], [450.0, 32.0], [196.0, 32.0]], ('EASYSHOP', 0.9919345378875732)], [[[482.0, 11.0], [635.0, 11.0], [635.0, 33.0], [482.0, 33.0]], ('DRDER', 0.8968355059623718)], [[[154.0, 49.0], [467.0, 49.0], [467.0, 74.0], [154.0, 74.0]], ('WH/SDL GR GRAPES SCP', 0.9440153241157532)], [[[547.0, 48.0], [659.0, 48.0], [659.0, 75.0], [547.0, 75.0]], ('0.77', 0.9929547309875488)], [[[152.0, 86.0], [372.0, 89.0], [372.0, 114.0], [152.0, 112.0]], ('$2OFF $5 MEAT', 0.9039538502693176)], [[[546.0, 85.0], [661.0, 88.0], [660.0, 118.0], [546.0, 115.0]], ('2.00*', 0.9574259519577026)], [[[151.0, 126.0], [373.0, 128.0], [373.0, 154.0], [151.0, 151.0]], ('NP BBY PI_D CRT', 0.8826553225517273)], [[[419.0, 126.0], [470.0, 126.0], [470.0, 155.0], [419.0, 155.0]], ('SCP', 0.9951061606407166)], [[[547.0, 128.0], [661.0, 128.0], [661.0, 155.0], [547.0, 155.0]], ('2.29', 0.9946179986000061)], [[[356.0, 165.0], [437.0, 165.0], [437.0, 194.0], [356.0, 194.0]], ('Total', 0.9976938366889954)], [[[532.0, 166.0], [625.0, 166.0], [625.0, 193.0], [532.0, 193.0]], ('$20.41', 0.9965441823005676)], [[[179.0, 205.0], [263.0, 205.0], [263.0, 235.0], [179.0, 235.0]], ('EGift', 0.9921777844429016)], [[[532.0, 207.0], [628.0, 207.0], [628.0, 234.0], [532.0, 234.0]], ('$10.00', 0.9985387921333313)], [[[356.0, 243.0], [438.0, 246.0], [437.0, 277.0], [355.0, 274.0]], ('Total', 0.9973492622375488)], [[[533.0, 247.0], [627.0, 247.0], [627.0, 273.0], [533.0, 273.0]], ('$10.41', 0.9984634518623352)], [[[179.0, 285.0], [262.0, 285.0], [262.0, 316.0], [179.0, 316.0]], ('EGift', 0.994062602519989)], [[[533.0, 288.0], [629.0, 288.0], [629.0, 315.0], [533.0, 315.0]], ('$10.00', 0.9983591437339783)], [[[355.0, 326.0], [437.0, 326.0], [437.0, 357.0], [355.0, 357.0]], ('Total', 0.9979756474494934)], [[[549.0, 329.0], [627.0, 329.0], [627.0, 355.0], [549.0, 355.0]], ('$0.41', 0.9946149587631226)], [[[178.0, 367.0], [246.0, 367.0], [246.0, 398.0], [178.0, 398.0]], ('Cash', 0.9979283809661865)], [[[549.0, 370.0], [628.0, 370.0], [628.0, 397.0], [549.0, 397.0]], ('$0.41', 0.996334433555603)], [[[180.0, 411.0], [500.0, 414.0], [500.0, 440.0], [180.0, 436.0]], ('Total before savings', 0.9762154817581177)], [[[534.0, 412.0], [631.0, 412.0], [631.0, 438.0], [534.0, 438.0]], ('$44.45', 0.9928372502326965)], [[[181.0, 452.0], [468.0, 456.0], [468.0, 481.0], [181.0, 478.0]], ('Your Total Savings', 0.9533572793006897)], [[[535.0, 453.0], [633.0, 453.0], [633.0, 480.0], [535.0, 480.0]], ('$24.04', 0.9954997897148132)], [[[180.0, 493.0], [485.0, 496.0], [485.0, 522.0], [180.0, 518.0]], ('Total after savings', 0.9592119455337524)], [[[534.0, 495.0], [629.0, 495.0], [629.0, 522.0], [534.0, 522.0]], ('$20.41', 0.9975687861442566)], [[[179.0, 534.0], [260.0, 534.0], [260.0, 563.0], [179.0, 563.0]], ('Total', 0.9971845746040344)], [[[535.0, 537.0], [631.0, 537.0], [631.0, 563.0], [535.0, 563.0]], ('$20.41', 0.9958766102790833)], [[[178.0, 574.0], [277.0, 577.0], [276.0, 607.0], [177.0, 603.0]], ('Change', 0.9985294342041016)], [[[549.0, 576.0], [635.0, 576.0], [635.0, 606.0], [549.0, 606.0]], ('$0.00', 0.9976986050605774)], [[[67.0, 701.0], [450.0, 704.0], [450.0, 730.0], [67.0, 726.0]], ('YOURSAVINGS', 0.970933735370636)], [[[487.0, 707.0], [703.0, 707.0], [703.0, 730.0], [487.0, 730.0]], ('SUMMARY', 0.995010495185852)], [[[65.0, 742.0], [452.0, 749.0], [451.0, 775.0], [65.0, 768.0]], ('Stop & Shop Card Savings', 0.9489715695381165)], [[[536.0, 747.0], [636.0, 747.0], [636.0, 777.0], [536.0, 777.0]], ('$18.98', 0.9984777569770813)], [[[64.0, 785.0], [471.0, 791.0], [471.0, 816.0], [64.0, 811.0]], ('PERSONAL THANKS SAVINGS 3', 0.9538881778717041)], [[[553.0, 791.0], [635.0, 791.0], [635.0, 818.0], [553.0, 818.0]], ('$5.06', 0.9973284006118774)], [[[63.0, 827.0], [636.0, 832.0], [636.0, 864.0], [63.0, 859.0]], ('Total Stop & Shop Card Saving$24.04', 0.915586531162262)], [[[62.0, 869.0], [355.0, 877.0], [354.0, 906.0], [62.0, 898.0]], ('Your Total Savings', 0.9692738652229309)], [[[538.0, 877.0], [637.0, 877.0], [637.0, 907.0], [538.0, 907.0]], ('$24.04', 0.994938850402832)], [[[59.0, 913.0], [639.0, 918.0], [639.0, 952.0], [58.0, 946.0]], ('YEAR-T0-DATE SAVINGS$356.74', 0.9541873931884766)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "$20.41 $20.41", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NPBBYPDCRTSCP", "item_value": "0.77", "item_quantity": "1"}, {"item_key": "", "item_name": "$2OFF$5MEAT", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WH/SDLGRGRAPESSCP", "item_value": "2.29", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[54.0, 58.0], [283.0, 38.0], [285.0, 62.0], [56.0, 82.0]], ('I NEW YORK', 0.8842584490776062)], [[[251.0, 91.0], [327.0, 89.0], [328.0, 117.0], [252.0, 119.0]], ('8G36', 0.9860237240791321)], [[[41.0, 102.0], [134.0, 96.0], [136.0, 121.0], [43.0, 126.0]], ('MED#', 0.8963627219200134)], [[[45.0, 126.0], [326.0, 118.0], [326.0, 141.0], [46.0, 150.0]], ('DATE0418/2009', 0.9721328020095825)], [[[47.0, 151.0], [327.0, 144.0], [327.0, 168.0], [47.0, 174.0]], ('STARTTIME 00:37', 0.9013018012046814)], [[[47.0, 176.0], [187.0, 173.0], [187.0, 197.0], [47.0, 200.0]], ('ENDTIME', 0.9935663342475891)], [[[238.0, 172.0], [329.0, 170.0], [330.0, 194.0], [239.0, 196.0]], ('00:46', 0.9346743822097778)], [[[48.0, 201.0], [155.0, 198.0], [156.0, 222.0], [49.0, 226.0]], ('TRIP', 0.9962643384933472)], [[[242.0, 198.0], [331.0, 198.0], [331.0, 223.0], [242.0, 223.0]], ('14840', 0.9878023862838745)], [[[48.0, 227.0], [182.0, 223.0], [182.0, 248.0], [49.0, 251.0]], ('RATE No', 0.9087271094322205)], [[[312.0, 226.0], [329.0, 226.0], [329.0, 249.0], [312.0, 249.0]], ('1', 0.9968082308769226)], [[[47.0, 252.0], [330.0, 248.0], [330.0, 274.0], [47.0, 278.0]], ('STANDCITY RATE', 0.9595015645027161)], [[[48.0, 278.0], [186.0, 276.0], [186.0, 300.0], [48.0, 302.0]], ('MILESR1', 0.9854540228843689)], [[[257.0, 277.0], [332.0, 274.0], [333.0, 299.0], [258.0, 301.0]], ('2.99', 0.9754749536514282)], [[[49.0, 304.0], [174.0, 304.0], [174.0, 327.0], [49.0, 327.0]], ('FARE1', 0.9930753707885742)], [[[259.0, 302.0], [331.0, 302.0], [331.0, 327.0], [259.0, 327.0]], ('9.30', 0.9925678372383118)], [[[49.0, 331.0], [205.0, 329.0], [206.0, 352.0], [49.0, 355.0]], ('SURCHARGE', 0.9965975284576416)], [[[260.0, 328.0], [331.0, 328.0], [331.0, 353.0], [260.0, 353.0]], ('0.50', 0.9936767816543579)], [[[50.0, 356.0], [174.0, 356.0], [174.0, 380.0], [50.0, 380.0]], ('TOTAL', 0.9908432960510254)], [[[260.0, 354.0], [331.0, 354.0], [331.0, 380.0], [260.0, 380.0]], ('9.80', 0.9930633902549744)], [[[50.0, 433.0], [327.0, 433.0], [327.0, 456.0], [50.0, 456.0]], ('Contact TLC Dial', 0.9219706058502197)], [[[153.0, 459.0], [240.0, 459.0], [240.0, 483.0], [153.0, 483.0]], ('3-1-1', 0.9846820831298828)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "04/18/2009", "time": "", "subtotal": "", "tax": "", "total": "9.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FARE1$", "item_value": "9.30", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[211.0, 71.0], [299.0, 76.0], [298.0, 97.0], [210.0, 92.0]], ('SOUTH BAY', 0.9523714780807495)], [[[128.0, 93.0], [364.0, 101.0], [363.0, 120.0], [128.0, 112.0]], ('1815 SHAWTHORNE BLVD134', 0.9400062561035156)], [[[144.0, 116.0], [365.0, 123.0], [364.0, 143.0], [144.0, 136.0]], ('REDONDO BEACHCA 90278', 0.9250431060791016)], [[[194.0, 140.0], [310.0, 144.0], [309.0, 165.0], [193.0, 161.0]], ('310-370-5353', 0.9872379302978516)], [[[49.0, 184.0], [120.0, 186.0], [120.0, 208.0], [48.0, 206.0]], ('Client:', 0.9682537913322449)], [[[164.0, 187.0], [245.0, 189.0], [245.0, 210.0], [164.0, 208.0]], ('Yoko Ono', 0.9214667677879333)], [[[51.0, 210.0], [265.0, 212.0], [265.0, 233.0], [51.0, 231.0]], ('clubbebe#7235318353', 0.9776011109352112)], [[[52.0, 236.0], [179.0, 236.0], [179.0, 256.0], [52.0, 256.0]], ('Trans111620', 0.9931190013885498)], [[[262.0, 237.0], [386.0, 239.0], [386.0, 260.0], [262.0, 258.0]], ('Date:7/17/14', 0.9565925598144531)], [[[53.0, 260.0], [142.0, 260.0], [142.0, 281.0], [53.0, 281.0]], ('Store:30', 0.9259172677993774)], [[[263.0, 262.0], [368.0, 262.0], [368.0, 283.0], [263.0, 283.0]], ('Register:1', 0.9741136431694031)], [[[55.0, 285.0], [208.0, 285.0], [208.0, 305.0], [55.0, 305.0]], ('Associate:59563', 0.9452778697013855)], [[[54.0, 307.0], [135.0, 307.0], [135.0, 331.0], [54.0, 331.0]], ('Stylist:', 0.9798173904418945)], [[[74.0, 331.0], [127.0, 331.0], [127.0, 353.0], [74.0, 353.0]], ('59563', 0.9988353848457336)], [[[61.0, 375.0], [104.0, 379.0], [102.0, 402.0], [59.0, 398.0]], ('Item', 0.988496720790863)], [[[161.0, 378.0], [195.0, 378.0], [195.0, 402.0], [161.0, 402.0]], ('Qty', 0.9966562390327454)], [[[263.0, 376.0], [316.0, 378.0], [315.0, 401.0], [262.0, 399.0]], ('Price', 0.9975307583808899)], [[[366.0, 376.0], [425.0, 378.0], [424.0, 400.0], [365.0, 398.0]], ('Amount', 0.9891497492790222)], [[[63.0, 400.0], [248.0, 403.0], [248.0, 424.0], [62.0, 421.0]], ('SLEEVELESS TIE FRONT', 0.9555605053901672)], [[[66.0, 422.0], [194.0, 425.0], [193.0, 443.0], [65.0, 440.0]], ('23444118330013', 0.9968739748001099)], [[[210.0, 427.0], [232.0, 427.0], [232.0, 443.0], [210.0, 443.0]], ('1', 0.5949693322181702)], [[[255.0, 424.0], [315.0, 424.0], [315.0, 445.0], [255.0, 445.0]], ('$69.00', 0.9920304417610168)], [[[365.0, 423.0], [425.0, 423.0], [425.0, 445.0], [365.0, 445.0]], ('$69.00', 0.9938561320304871)], [[[69.0, 442.0], [159.0, 444.0], [159.0, 462.0], [68.0, 460.0]], ('ColarSYP', 0.8374192714691162)], [[[210.0, 446.0], [280.0, 446.0], [280.0, 467.0], [210.0, 467.0]], ('Size:M', 0.9041047096252441)], [[[70.0, 461.0], [189.0, 464.0], [188.0, 484.0], [69.0, 481.0]], ('Stylist:59563', 0.938552737236023)], [[[240.0, 526.0], [314.0, 528.0], [313.0, 549.0], [239.0, 547.0]], ('Subtotal', 0.9911141991615295)], [[[364.0, 530.0], [424.0, 533.0], [423.0, 555.0], [363.0, 552.0]], ('$69.00', 0.9886062145233154)], [[[223.0, 547.0], [256.0, 549.0], [254.0, 569.0], [221.0, 567.0]], ('Tax', 0.9931290745735168)], [[[292.0, 550.0], [315.0, 550.0], [315.0, 572.0], [292.0, 572.0]], ('9%', 0.9760621786117554)], [[[372.0, 555.0], [423.0, 555.0], [423.0, 577.0], [372.0, 577.0]], ('$6.21', 0.9947754144668579)], [[[267.0, 593.0], [313.0, 593.0], [313.0, 615.0], [267.0, 615.0]], ('Total', 0.9971257448196411)], [[[362.0, 596.0], [420.0, 598.0], [419.0, 619.0], [361.0, 617.0]], ('$75.21', 0.9946754574775696)], [[[75.0, 627.0], [115.0, 629.0], [113.0, 649.0], [74.0, 647.0]], ('Cash', 0.9961060285568237)], [[[360.0, 640.0], [417.0, 640.0], [417.0, 658.0], [360.0, 658.0]], ('$80.00', 0.984401524066925)], [[[75.0, 667.0], [131.0, 674.0], [128.0, 695.0], [73.0, 688.0]], ('Change', 0.998449981212616)], [[[73.0, 691.0], [114.0, 691.0], [114.0, 713.0], [73.0, 713.0]], ('Cash', 0.9968846440315247)], [[[350.0, 696.0], [413.0, 696.0], [413.0, 718.0], [350.0, 718.0]], ('$4.79', 0.9915685653686523)], [[[187.0, 771.0], [325.0, 775.0], [324.0, 796.0], [186.0, 792.0]], ('clubbebe', 0.9801546335220337)], [[[111.0, 807.0], [207.0, 810.0], [206.0, 831.0], [110.0, 828.0]], ('clubbebe #', 0.8739948272705078)], [[[297.0, 813.0], [385.0, 816.0], [385.0, 836.0], [297.0, 833.0]], ('7235318353', 0.9979416131973267)], [[[111.0, 827.0], [282.0, 834.0], [281.0, 855.0], [110.0, 848.0]], ('Potnts Earned Today:', 0.9229220151901245)], [[[356.0, 836.0], [385.0, 836.0], [385.0, 856.0], [356.0, 856.0]], ('138', 0.9770081639289856)], [[[114.0, 847.0], [281.0, 855.0], [280.0, 873.0], [113.0, 865.0]], ('Total Earned Points', 0.9364710450172424)], [[[354.0, 856.0], [384.0, 856.0], [384.0, 877.0], [354.0, 877.0]], ('275', 0.9982441067695618)], [[[113.0, 868.0], [297.0, 876.0], [296.0, 893.0], [112.0, 885.0]], ('Points to next Reward:', 0.9151081442832947)], [[[354.0, 876.0], [383.0, 876.0], [383.0, 896.0], [354.0, 896.0]], ('225', 0.995063304901123)], [[[162.0, 927.0], [338.0, 926.0], [339.0, 943.0], [162.0, 944.0]], ('www.bebe.com/clubbebe', 0.8986429572105408)], [[[180.0, 943.0], [320.0, 940.0], [321.0, 954.0], [180.0, 957.0]], ('Frequency Natters', 0.8963701128959656)]]	{"store_name": "SOUTHBAY", "store_addr": "1815SHAWTHORNEBLVD134 REDONDOBEACH,CA90278", "telephone": "310-370-5353", "date": "7/17/14", "time": "", "subtotal": "$69.00", "tax": "$6.21", "total": "$75.21", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SLEEVELESSTIEFRONT", "item_value": "$69.00", "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	[[[[158.0, 104.0], [312.0, 92.0], [314.0, 110.0], [160.0, 122.0]], ('SELFIE COFFEE', 0.9691390991210938)], [[[149.0, 146.0], [327.0, 134.0], [329.0, 162.0], [151.0, 174.0]], ('[Prepayment]', 0.9957347512245178)], [[[130.0, 176.0], [199.0, 171.0], [200.0, 192.0], [132.0, 197.0]], ('LYNDA', 0.9960235357284546)], [[[261.0, 169.0], [396.0, 160.0], [397.0, 179.0], [262.0, 187.0]], ('SN:000008661', 0.9596956372261047)], [[[50.0, 183.0], [138.0, 179.0], [139.0, 197.0], [51.0, 201.0]], ('Waiter:', 0.8177990317344666)], [[[52.0, 205.0], [105.0, 202.0], [106.0, 220.0], [53.0, 223.0]], ('CHK:', 0.9665654301643372)], [[[135.0, 200.0], [205.0, 194.0], [206.0, 213.0], [137.0, 218.0]], ('00747/1', 0.9930628538131714)], [[[51.0, 226.0], [314.0, 209.0], [316.0, 229.0], [52.0, 247.0]], ('Open at:2017-1123 17:41:28', 0.8944202661514282)], [[[51.0, 262.0], [101.0, 259.0], [102.0, 280.0], [52.0, 283.0]], ('TBL:', 0.9699077606201172)], [[[135.0, 258.0], [152.0, 256.0], [155.0, 276.0], [138.0, 278.0]], ('3', 0.9986329674720764)], [[[338.0, 284.0], [420.0, 278.0], [421.0, 299.0], [340.0, 305.0]], ('RM28.00', 0.9930395483970642)], [[[55.0, 303.0], [67.0, 303.0], [67.0, 319.0], [55.0, 319.0]], ('1', 0.818446934223175)], [[[130.0, 297.0], [279.0, 287.0], [281.0, 306.0], [131.0, 316.0]], ('SELFIE COFFEE', 0.9555025100708008)], [[[343.0, 322.0], [422.0, 317.0], [423.0, 338.0], [344.0, 343.0]], ('RM28.00', 0.997124195098877)], [[[136.0, 335.0], [224.0, 328.0], [226.0, 349.0], [138.0, 356.0]], ('Subtotal:', 0.9904183149337769)], [[[355.0, 344.0], [424.0, 339.0], [425.0, 360.0], [357.0, 365.0]], ('RMO.00', 0.9761689305305481)], [[[136.0, 357.0], [183.0, 353.0], [185.0, 375.0], [138.0, 379.0]], ('TAX:', 0.9816604852676392)], [[[345.0, 367.0], [427.0, 362.0], [428.0, 383.0], [346.0, 388.0]], ('RM28.00', 0.9964039921760559)], [[[137.0, 379.0], [186.0, 376.0], [187.0, 398.0], [138.0, 401.0]], ('Due:', 0.9828613996505737)], [[[60.0, 407.0], [231.0, 397.0], [232.0, 418.0], [61.0, 428.0]], ('Times of Printing1', 0.9698561429977417)], [[[61.0, 430.0], [160.0, 423.0], [161.0, 444.0], [62.0, 449.0]], ('Thank you', 0.9763866066932678)]]	{"store_name": "SELFIECOFFEE", "store_addr": "", "telephone": "", "date": "2017-11-23", "time": "17:41:28", "subtotal": "RM28.00", "tax": "RM0.00", "total": "RM28.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SELFIECOFFEE", "item_value": "RM28.00", "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	[[[[122.0, 15.0], [229.0, 17.0], [229.0, 35.0], [122.0, 33.0]], ('Cibo Wine Bar', 0.9521521925926208)], [[[115.0, 37.0], [238.0, 37.0], [238.0, 54.0], [115.0, 54.0]], ('45 Miracle Mile', 0.9338411092758179)], [[[99.0, 55.0], [262.0, 58.0], [262.0, 75.0], [98.0, 72.0]], ('Coral Gables Florida', 0.9548504948616028)], [[[9.0, 93.0], [132.0, 96.0], [132.0, 114.0], [9.0, 111.0]], ('Server:Gustavo', 0.953289806842804)], [[[272.0, 97.0], [352.0, 97.0], [352.0, 115.0], [272.0, 115.0]], ('12/01/2012', 0.997923731803894)], [[[9.0, 113.0], [101.0, 116.0], [100.0, 134.0], [9.0, 131.0]], ('Table 302/1', 0.9324849843978882)], [[[293.0, 118.0], [353.0, 118.0], [353.0, 136.0], [293.0, 136.0]], ('9:21PM', 0.9583633542060852)], [[[9.0, 136.0], [86.0, 136.0], [86.0, 153.0], [9.0, 153.0]], ('Guests:2', 0.9416107535362244)], [[[309.0, 137.0], [353.0, 137.0], [353.0, 156.0], [309.0, 156.0]], ('50026', 0.9991986155509949)], [[[7.0, 174.0], [68.0, 176.0], [67.0, 194.0], [7.0, 192.0]], ('Lasagna', 0.9941748380661011)], [[[310.0, 177.0], [352.0, 177.0], [352.0, 195.0], [310.0, 195.0]], ('17.00', 0.9952176213264465)], [[[8.0, 194.0], [132.0, 196.0], [132.0, 212.0], [8.0, 210.0]], ('Seafood Risotto', 0.9795796275138855)], [[[310.0, 197.0], [352.0, 197.0], [352.0, 215.0], [310.0, 215.0]], ('18.00', 0.997025191783905)], [[[7.0, 214.0], [132.0, 215.0], [132.0, 232.0], [7.0, 231.0]], ('Pinot Willamett', 0.9398200511932373)], [[[310.0, 216.0], [352.0, 216.0], [352.0, 235.0], [310.0, 235.0]], ('11.00', 0.9939565658569336)], [[[7.0, 232.0], [108.0, 235.0], [108.0, 253.0], [7.0, 250.0]], ('Malbec Alamo', 0.9364922046661377)], [[[316.0, 236.0], [352.0, 236.0], [352.0, 255.0], [316.0, 255.0]], ('8.00', 0.9958452582359314)], [[[8.0, 272.0], [74.0, 272.0], [74.0, 290.0], [8.0, 290.0]], ('Subtotal', 0.9936748743057251)], [[[309.0, 273.0], [353.0, 276.0], [352.0, 295.0], [308.0, 292.0]], ('54.00', 0.993492603302002)], [[[7.0, 292.0], [36.0, 292.0], [36.0, 311.0], [7.0, 311.0]], ('Tax', 0.9941278100013733)], [[[315.0, 295.0], [352.0, 295.0], [352.0, 314.0], [315.0, 314.0]], ('4.32', 0.9962813854217529)], [[[8.0, 329.0], [50.0, 332.0], [48.0, 352.0], [7.0, 349.0]], ('Total', 0.9974535703659058)], [[[309.0, 334.0], [352.0, 334.0], [352.0, 354.0], [309.0, 354.0]], ('58.32', 0.9955366253852844)], [[[7.0, 371.0], [188.0, 373.0], [188.0, 393.0], [7.0, 391.0]], ('Balance Due', 0.9515914916992188)], [[[269.0, 375.0], [350.0, 375.0], [350.0, 393.0], [269.0, 393.0]], ('58.32', 0.9950963854789734)], [[[139.0, 413.0], [220.0, 413.0], [220.0, 431.0], [139.0, 431.0]], ('Thank You!', 0.9277060627937317)]]	{"store_name": "CiboWineBar", "store_addr": "45MiracleMile CoralGablesFlorida", "telephone": "", "date": "12/01/2012", "time": "9:21PM", "subtotal": "54.00", "tax": "4.32", "total": "58.32 58.32", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Lasagna", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SeafoodRisotto", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PinotWillamett", "item_value": "11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MalbecAlamo", "item_value": "8.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[110.0, 33.0], [222.0, 34.0], [221.0, 48.0], [110.0, 46.0]], ('MIZU SUSHI BAR &GRILL', 0.9106053113937378)], [[[107.0, 46.0], [222.0, 46.0], [222.0, 59.0], [107.0, 59.0]], ('1035 S.WINCHESTER BLVD', 0.9332969188690186)], [[[121.0, 58.0], [215.0, 58.0], [215.0, 71.0], [121.0, 71.0]], ('SANJOSECA 95128', 0.9532469511032104)], [[[132.0, 71.0], [205.0, 71.0], [205.0, 82.0], [132.0, 82.0]], ('408260-7200', 0.9728280901908875)], [[[218.0, 95.0], [272.0, 95.0], [272.0, 106.0], [218.0, 106.0]], ('Station:4', 0.9685508012771606)], [[[63.0, 121.0], [141.0, 121.0], [141.0, 134.0], [63.0, 134.0]], ('Order70240', 0.9344135522842407)], [[[234.0, 118.0], [275.0, 118.0], [275.0, 131.0], [234.0, 131.0]], ('DINE IN', 0.9631257057189941)], [[[63.0, 134.0], [110.0, 134.0], [110.0, 148.0], [63.0, 148.0]], ('Table:1', 0.915693461894989)], [[[227.0, 132.0], [276.0, 132.0], [276.0, 143.0], [227.0, 143.0]], ('Guests:3', 0.9781467914581299)], [[[62.0, 160.0], [140.0, 159.0], [140.0, 173.0], [62.0, 174.0]], ('1 SUNKISSEDR', 0.9335271716117859)], [[[250.0, 156.0], [280.0, 156.0], [280.0, 170.0], [250.0, 170.0]], ('13.95', 0.9745422601699829)], [[[61.0, 175.0], [170.0, 171.0], [170.0, 186.0], [62.0, 190.0]], ('1 RAINBO SLOSSOMR', 0.8319907188415527)], [[[251.0, 169.0], [282.0, 169.0], [282.0, 183.0], [251.0, 183.0]], ('15.95', 0.9843587875366211)], [[[61.0, 189.0], [134.0, 186.0], [135.0, 200.0], [62.0, 203.0]], ('1 TROALR.', 0.8589909076690674)], [[[251.0, 183.0], [283.0, 181.0], [284.0, 195.0], [252.0, 198.0]], ('10.95', 0.9830101132392883)], [[[62.0, 203.0], [163.0, 200.0], [163.0, 213.0], [63.0, 217.0]], ('1UNA TATAKI AP', 0.9211397171020508)], [[[255.0, 196.0], [285.0, 196.0], [285.0, 211.0], [255.0, 211.0]], ('13.95', 0.9897764325141907)], [[[57.0, 218.0], [170.0, 214.0], [170.0, 228.0], [58.0, 231.0]], ('Green Tea Te', 0.9400503039360046)], [[[260.0, 210.0], [286.0, 210.0], [286.0, 224.0], [260.0, 224.0]], ('8.95', 0.9755693078041077)], [[[58.0, 244.0], [113.0, 244.0], [113.0, 261.0], [58.0, 261.0]], ('SUB TOTAL', 0.9279492497444153)], [[[257.0, 238.0], [290.0, 238.0], [290.0, 253.0], [257.0, 253.0]], ('63.75', 0.9479463696479797)], [[[59.0, 262.0], [99.0, 262.0], [99.0, 277.0], [59.0, 277.0]], ('1ax1:', 0.7302020192146301)], [[[265.0, 253.0], [292.0, 253.0], [292.0, 268.0], [265.0, 268.0]], ('5.58', 0.9919576644897461)], [[[257.0, 283.0], [297.0, 283.0], [297.0, 301.0], [257.0, 301.0]], ('$69.33', 0.979886531829834)], [[[58.0, 294.0], [97.0, 294.0], [97.0, 308.0], [58.0, 308.0]], ('TOTAL:', 0.989899218082428)], [[[116.0, 324.0], [236.0, 317.0], [237.0, 334.0], [117.0, 340.0]], ('Ticket 105<', 0.907766580581665)]]	{"store_name": "HIZUSUSHIBAR&CRILL", "store_addr": "1035S.WINCHESIERBLVD SANJOSE,CA95128", "telephone": "(408)260-7200", "date": "", "time": "", "subtotal": "63.75", "tax": "5.58", "total": "$69.33", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SUNKISSEDR", "item_value": "13.95", "item_quantity": "1"}, {"item_key": "", "item_name": "RAINBOWBLOSSOMR.", "item_value": "15.95", "item_quantity": "1"}, {"item_key": "", "item_name": "TROPICALR.", "item_value": "10.95", "item_quantity": "1"}, {"item_key": "", "item_name": "TUNATATAKI(AP)", "item_value": "13.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "8.95", "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	[[[[110.0, 69.0], [151.0, 69.0], [151.0, 76.0], [110.0, 76.0]], ('008', 0.9016292691230774)], [[[57.0, 91.0], [238.0, 88.0], [238.0, 105.0], [57.0, 109.0]], ('Cracker Barrel Store #91', 0.9265861511230469)], [[[92.0, 109.0], [201.0, 106.0], [202.0, 123.0], [92.0, 126.0]], ('Ft.Pierce,FL', 0.9446926712989807)], [[[28.0, 128.0], [151.0, 124.0], [152.0, 143.0], [28.0, 146.0]], ('1562895 ASHLEE H', 0.9491974711418152)], [[[27.0, 166.0], [98.0, 164.0], [98.0, 181.0], [27.0, 183.0]], ('TBL232/1', 0.991383969783783)], [[[140.0, 162.0], [202.0, 160.0], [203.0, 178.0], [141.0, 180.0]], ('8423', 0.9988949298858643)], [[[230.0, 159.0], [273.0, 156.0], [274.0, 176.0], [231.0, 178.0]], ('GST 2', 0.8968794941902161)], [[[87.0, 183.0], [212.0, 179.0], [212.0, 196.0], [88.0, 200.0]], ("FEB14'164:55PM", 0.9326238632202148)], [[[45.0, 220.0], [102.0, 220.0], [102.0, 237.0], [45.0, 237.0]], ('1WATER', 0.9890646934509277)], [[[216.0, 215.0], [252.0, 215.0], [252.0, 233.0], [216.0, 233.0]], ('0.00', 0.9978907704353333)], [[[46.0, 238.0], [152.0, 235.0], [153.0, 252.0], [46.0, 255.0]], ('1 CD PORK CHOP', 0.9035733938217163)], [[[216.0, 233.0], [252.0, 233.0], [252.0, 251.0], [216.0, 251.0]], ('7.99', 0.9972278475761414)], [[[48.0, 255.0], [111.0, 255.0], [111.0, 272.0], [48.0, 272.0]], ('1 COFFEE', 0.936522364616394)], [[[217.0, 251.0], [252.0, 251.0], [252.0, 270.0], [217.0, 270.0]], ('2.19', 0.9930465221405029)], [[[49.0, 272.0], [153.0, 270.0], [154.0, 287.0], [49.0, 289.0]], ('1 CD PORK CHOP', 0.9067839980125427)], [[[217.0, 269.0], [252.0, 269.0], [252.0, 287.0], [217.0, 287.0]], ('7.99', 0.9976216554641724)], [[[66.0, 290.0], [125.0, 289.0], [125.0, 304.0], [66.0, 305.0]], ('Subtotal', 0.9935964345932007)], [[[212.0, 287.0], [251.0, 287.0], [251.0, 302.0], [212.0, 302.0]], ('18.17', 0.9950556755065918)], [[[67.0, 306.0], [177.0, 304.0], [178.0, 319.0], [67.0, 322.0]], ('State&Local Tax', 0.9263387322425842)], [[[216.0, 302.0], [252.0, 302.0], [252.0, 320.0], [216.0, 320.0]], ('1.19', 0.9967968463897705)], [[[69.0, 322.0], [108.0, 322.0], [108.0, 338.0], [69.0, 338.0]], ('Total', 0.9945322871208191)], [[[179.0, 319.0], [248.0, 319.0], [248.0, 333.0], [179.0, 333.0]], ('19.36', 0.9909520149230957)], [[[72.0, 336.0], [104.0, 336.0], [104.0, 352.0], [72.0, 352.0]], ('CASH', 0.9976051449775696)], [[[210.0, 335.0], [250.0, 335.0], [250.0, 350.0], [210.0, 350.0]], ('50.36', 0.9960055351257324)], [[[73.0, 352.0], [145.0, 352.0], [145.0, 366.0], [73.0, 366.0]], ('Change Due', 0.9539775848388672)], [[[211.0, 350.0], [250.0, 350.0], [250.0, 364.0], [211.0, 364.0]], ('31.00', 0.9975169897079468)], [[[53.0, 363.0], [266.0, 362.0], [266.0, 379.0], [53.0, 380.0]], ('-1540934 CL0SED FEB14547PM-', 0.91007399559021)], [[[116.0, 377.0], [185.0, 379.0], [184.0, 393.0], [115.0, 391.0]], ('Thank You', 0.943268895149231)], [[[98.0, 390.0], [208.0, 390.0], [208.0, 404.0], [98.0, 404.0]], ('Please Come Back', 0.9591739177703857)], [[[83.0, 402.0], [221.0, 402.0], [221.0, 415.0], [83.0, 415.0]], ('www.CrackerBarrel.com', 0.944904625415802)]]	{"store_name": "CrackerBarrelStore#91", "store_addr": "Ft.Pierce,FL", "telephone": "", "date": "FEB14'16", "time": "5:47PM", "subtotal": "18.17", "tax": "1.19", "total": "19.36", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WATER", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CDPORKCHOP", "item_value": "7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "COFFEE", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "CDPORKCHOP", "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	[[[[556.0, 989.0], [1037.0, 989.0], [1037.0, 1132.0], [556.0, 1132.0]], ('CAFE S', 0.9207530617713928)], [[[149.0, 1503.0], [979.0, 1503.0], [979.0, 1571.0], [149.0, 1571.0]], ('12/19/2011 12:49:24PM', 0.95002681016922)], [[[142.0, 1591.0], [749.0, 1591.0], [749.0, 1659.0], [142.0, 1659.0]], ('CHK:F23', 0.9428403973579407)], [[[136.0, 1679.0], [813.0, 1683.0], [813.0, 1755.0], [135.0, 1751.0]], ('Server:j', 0.9090505838394165)], [[[878.0, 1853.0], [1010.0, 1853.0], [1010.0, 1935.0], [878.0, 1935.0]], ('P-1', 0.9396206736564636)], [[[268.0, 1941.0], [1058.0, 1952.0], [1057.0, 2034.0], [267.0, 2023.0]], ('Carrot & Ginger Soup', 0.9549813270568848)], [[[1525.0, 1948.0], [1742.0, 1948.0], [1742.0, 2037.0], [1525.0, 2037.0]], ('$5.25', 0.991476833820343)], [[[258.0, 2224.0], [576.0, 2224.0], [576.0, 2305.0], [258.0, 2305.0]], ('SUBTOTAL', 0.9913371801376343)], [[[1532.0, 2234.0], [1745.0, 2234.0], [1745.0, 2319.0], [1532.0, 2319.0]], ('$5.25', 0.9885009527206421)], [[[261.0, 2315.0], [393.0, 2315.0], [393.0, 2404.0], [261.0, 2404.0]], ('TAX', 0.996375560760498)], [[[1535.0, 2329.0], [1749.0, 2329.0], [1749.0, 2414.0], [1535.0, 2414.0]], ('$0.45', 0.994682788848877)], [[[176.0, 2509.0], [386.0, 2509.0], [386.0, 2659.0], [176.0, 2659.0]], ('TOTAL', 0.9950917959213257)], [[[1566.0, 2526.0], [1796.0, 2526.0], [1796.0, 2676.0], [1566.0, 2676.0]], ('$5.70', 0.9683159589767456)], [[[312.0, 2832.0], [1542.0, 2846.0], [1541.0, 2917.0], [312.0, 2903.0]], ('Wake up Neo.The Matrix has you', 0.950433075428009)]]	{"store_name": "CAFES", "store_addr": "", "telephone": "", "date": "12/19/2011", "time": "12:49:24PM", "subtotal": "$5.25", "tax": "$0.45", "total": "$5.70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Carrot&GingerSoup", "item_value": "$5.25", "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	[[[[82.0, 27.0], [265.0, 31.0], [265.0, 48.0], [82.0, 43.0]], ('SANTA FE MEXICAN', 0.9461836814880371)], [[[122.0, 43.0], [221.0, 48.0], [220.0, 65.0], [121.0, 60.0]], ('3035 HIGHPOINT RD', 0.9552935361862183)], [[[112.0, 59.0], [231.0, 62.0], [230.0, 79.0], [112.0, 76.0]], ('GREENSBORO.NC27403', 0.951069176197052)], [[[140.0, 76.0], [207.0, 78.0], [206.0, 93.0], [139.0, 91.0]], ('336-617-4899', 0.9917290210723877)], [[[62.0, 106.0], [233.0, 110.0], [233.0, 126.0], [61.0, 121.0]], ('Tb1BAR11 Gsts:2 SrvrAlexis', 0.935481071472168)], [[[60.0, 123.0], [196.0, 124.0], [196.0, 140.0], [60.0, 139.0]], ('Date:07-24-2016 4:30pm', 0.9314602017402649)], [[[224.0, 125.0], [293.0, 128.0], [292.0, 143.0], [223.0, 140.0]], ('1.0551.00106', 0.9892063140869141)], [[[74.0, 155.0], [133.0, 155.0], [133.0, 169.0], [74.0, 169.0]], ('Guests:2', 0.953593373298645)], [[[85.0, 169.0], [173.0, 169.0], [173.0, 183.0], [85.0, 183.0]], ('3 Jmb Tx Marg Ro', 0.9040413498878479)], [[[195.0, 168.0], [226.0, 170.0], [224.0, 186.0], [193.0, 184.0]], ('31.50', 0.9921420812606812)], [[[84.0, 182.0], [162.0, 184.0], [162.0, 199.0], [84.0, 197.0]], ('6 Patron Anejo', 0.9549417495727539)], [[[195.0, 183.0], [225.0, 185.0], [223.0, 201.0], [193.0, 198.0]], ('58.50', 0.9688247442245483)], [[[85.0, 198.0], [131.0, 198.0], [131.0, 212.0], [85.0, 212.0]], ('1 Corona', 0.9340336322784424)], [[[127.0, 209.0], [181.0, 212.0], [181.0, 226.0], [126.0, 223.0]], ('Sub-Total:', 0.9633210301399231)], [[[199.0, 200.0], [224.0, 200.0], [224.0, 216.0], [199.0, 216.0]], ('3.50', 0.9951109290122986)], [[[199.0, 213.0], [229.0, 216.0], [227.0, 231.0], [197.0, 228.0]], ('93.50', 0.9920930862426758)], [[[158.0, 225.0], [182.0, 225.0], [182.0, 240.0], [158.0, 240.0]], ('Tax:', 0.9650116562843323)], [[[79.0, 235.0], [169.0, 238.0], [169.0, 255.0], [79.0, 252.0]], ('tal Due:', 0.8857161998748779)], [[[203.0, 229.0], [229.0, 229.0], [229.0, 245.0], [203.0, 245.0]], ('8.33', 0.9358066916465759)], [[[218.0, 244.0], [274.0, 247.0], [273.0, 261.0], [217.0, 258.0]], ('99.83', 0.9960657358169556)], [[[93.0, 261.0], [253.0, 272.0], [252.0, 289.0], [92.0, 277.0]], ('10X=$9.3515x=$14.0220X=$18.70', 0.9057719111442566)], [[[131.0, 277.0], [205.0, 284.0], [204.0, 299.0], [130.0, 292.0]], ('Suggeested Tip', 0.9811598062515259)], [[[114.0, 289.0], [205.0, 297.0], [204.0, 312.0], [112.0, 304.0]], ('HOW ARE WE DOING?', 0.9183037281036377)], [[[105.0, 304.0], [223.0, 313.0], [222.0, 327.0], [104.0, 318.0]], ('WE VALUE YOUR OPINION!!', 0.9196580648422241)], [[[64.0, 315.0], [226.0, 323.0], [225.0, 342.0], [63.0, 335.0]], ('Please go to w.santafenc.com', 0.8933359384536743)]]	{"store_name": "SANTAFEMEXICAN", "store_addr": "3035HIGHPOINTRD GREENSBORO,NC27403", "telephone": "336-617-4898", "date": "07-24-2016", "time": "4:30pm", "subtotal": "93.50", "tax": "8.33", "total": "99.83", "ignore": " ", "tips": "10%=$9.35 15%=$14.02 20%=$18.70", "line_items": [{"item_key": "", "item_name": "JmbTxMargRo", "item_value": "31.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PatronAnejo", "item_value": "58.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Corona", "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	[[[[1118.0, 331.0], [1856.0, 340.0], [1855.0, 443.0], [1117.0, 434.0]], ('GetGo #3601', 0.953196108341217)], [[[1187.0, 447.0], [1807.0, 447.0], [1807.0, 538.0], [1187.0, 538.0]], ('Wadsworth', 0.9907017946243286)], [[[923.0, 546.0], [2079.0, 533.0], [2081.0, 632.0], [924.0, 645.0]], ('773 Ambassador Dr', 0.9592671990394592)], [[[914.0, 650.0], [2136.0, 627.0], [2138.0, 726.0], [916.0, 749.0]], ('Wadsworth.0H 44281', 0.9233351945877075)], [[[1125.0, 744.0], [1934.0, 730.0], [1936.0, 834.0], [1127.0, 848.0]], ('330-334-6081', 0.9940739274024963)], [[[708.0, 950.0], [989.0, 950.0], [989.0, 1062.0], [708.0, 1062.0]], ('Date', 0.9978232383728027)], [[[1336.0, 946.0], [2018.0, 937.0], [2019.0, 1040.0], [1338.0, 1050.0]], ('12/14/2014', 0.9981731176376343)], [[[711.0, 1048.0], [995.0, 1059.0], [991.0, 1167.0], [707.0, 1155.0]], ('Time', 0.9974426031112671)], [[[1336.0, 1046.0], [1885.0, 1031.0], [1888.0, 1139.0], [1339.0, 1153.0]], ('01:44PM', 0.9415546655654907)], [[[715.0, 1146.0], [997.0, 1168.0], [987.0, 1279.0], [705.0, 1257.0]], ('Pump', 0.9898344874382019)], [[[1337.0, 1157.0], [1438.0, 1157.0], [1438.0, 1260.0], [1337.0, 1260.0]], ('6', 0.9714317917823792)], [[[1337.0, 1251.0], [1478.0, 1251.0], [1478.0, 1363.0], [1337.0, 1363.0]], ('32', 0.9982927441596985)], [[[720.0, 1265.0], [1062.0, 1255.0], [1065.0, 1362.0], [724.0, 1373.0]], ('Tran#', 0.9974544644355774)], [[[1130.0, 1462.0], [1961.0, 1453.0], [1962.0, 1552.0], [1131.0, 1561.0]], ('Fuel Details', 0.9563928246498108)], [[[721.0, 1561.0], [2211.0, 1548.0], [2212.0, 1664.0], [722.0, 1677.0]], ('Base Price: $2.409/ga1', 0.9078302383422852)], [[[1534.0, 1660.0], [2215.0, 1651.0], [2217.0, 1754.0], [1536.0, 1763.0]], ('$0.000/8al', 0.9342716336250305)], [[[730.0, 1682.0], [1587.0, 1672.0], [1588.0, 1758.0], [731.0, 1768.0]], ('YourPrice:s', 0.9297153353691101)], [[[1617.0, 1759.0], [2030.0, 1749.0], [2033.0, 1857.0], [1620.0, 1867.0]], ('30.000', 0.9967235922813416)], [[[731.0, 1775.0], [1271.0, 1785.0], [1270.0, 1875.0], [729.0, 1866.0]], ('Gallons:', 0.9852211475372314)], [[[1555.0, 1863.0], [1896.0, 1848.0], [1901.0, 1959.0], [1561.0, 1975.0]], ('$0.00', 0.9989354014396667)], [[[734.0, 1879.0], [1148.0, 1879.0], [1148.0, 1982.0], [734.0, 1982.0]], ('Total:', 0.9755354523658752)], [[[1073.0, 2064.0], [2035.0, 2051.0], [2037.0, 2154.0], [1074.0, 2168.0]], ('Fuel Discounts', 0.9761549234390259)], [[[733.0, 2181.0], [1427.0, 2162.0], [1430.0, 2265.0], [736.0, 2284.0]], ('fuelperks!', 0.9895153045654297)], [[[1001.0, 2272.0], [1910.0, 2235.0], [1915.0, 2351.0], [1006.0, 2388.0]], ('Amount:$2.41', 0.9649989604949951)], [[[935.0, 2379.0], [1980.0, 2342.0], [1985.0, 2458.0], [940.0, 2495.0]], ('Savings:$72.27', 0.9762448072433472)], [[[936.0, 2800.0], [1520.0, 2785.0], [1523.0, 2902.0], [939.0, 2916.0]], ('0.00TAX', 0.9855343699455261)], [[[949.0, 3024.0], [2092.0, 2996.0], [2094.0, 3100.0], [952.0, 3127.0]], ('O.OO BALANCE DUE', 0.9050180912017822)], [[[888.0, 3131.0], [1604.0, 3117.0], [1606.0, 3233.0], [890.0, 3247.0]], ('-0.00 PAID', 0.864972710609436)], [[[888.0, 3363.0], [2334.0, 3336.0], [2336.0, 3448.0], [890.0, 3475.0]], ('Customer Care Center', 0.9612146615982056)], [[[1107.0, 3475.0], [2140.0, 3452.0], [2143.0, 3568.0], [1110.0, 3591.0]], ('1-800-553-2324', 0.9942907691001892)], [[[1033.0, 3591.0], [2140.0, 3573.0], [2142.0, 3689.0], [1035.0, 3707.0]], ('Mon-Fri 9AM-9PM', 0.9362767934799194)], [[[756.0, 3698.0], [2378.0, 3685.0], [2380.0, 3818.0], [757.0, 3832.0]], ('GiantEagle.com/contact', 0.9949743747711182)]]	{"store_name": "GetGo#3601", "store_addr": "733AmbassadorDr Wadsworth,OH44281", "telephone": "330-334-6081", "date": "Date12/14/2014", "time": "Time01:44PM", "subtotal": "", "tax": "0.00TAX", "total": "$0.00", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[602.0, 97.0], [1062.0, 126.0], [1054.0, 267.0], [594.0, 238.0]], ('WHOLE', 0.9977990984916687)], [[[618.0, 240.0], [1024.0, 270.0], [1017.0, 365.0], [611.0, 336.0]], ('FOODS', 0.995754063129425)], [[[601.0, 344.0], [1021.0, 376.0], [1017.0, 424.0], [597.0, 392.0]], ('MARKT', 0.8063578605651855)], [[[373.0, 424.0], [1211.0, 489.0], [1207.0, 537.0], [369.0, 471.0]], ("America's Hlealthiest Grocery Store", 0.8943975567817688)], [[[1364.0, 444.0], [1422.0, 415.0], [1446.0, 463.0], [1388.0, 492.0]], ('64', 0.9752479791641235)], [[[590.0, 531.0], [935.0, 559.0], [932.0, 601.0], [587.0, 573.0]], ('2375 E.1st Ave', 0.9474334716796875)], [[[1342.0, 531.0], [1451.0, 459.0], [1485.0, 510.0], [1377.0, 582.0]], ('8.63', 0.9909044504165649)], [[[398.0, 575.0], [1139.0, 632.0], [1136.0, 678.0], [395.0, 621.0]], ('DENVERC080206720)941-4100', 0.9512721300125122)], [[[1369.0, 593.0], [1485.0, 515.0], [1514.0, 558.0], [1398.0, 635.0]], ('68.63', 0.9896081686019897)], [[[1348.0, 683.0], [1585.0, 537.0], [1607.0, 572.0], [1370.0, 719.0]], ('*********', 0.7249100208282471)], [[[244.0, 760.0], [260.0, 760.0], [260.0, 782.0], [244.0, 782.0]], ('K', 0.7520123720169067)], [[[460.0, 763.0], [935.0, 801.0], [932.0, 843.0], [457.0, 805.0]], ('16 0Z GRN SMOOTHIE', 0.888074517250061)], [[[1097.0, 811.0], [1267.0, 827.0], [1263.0, 875.0], [1093.0, 858.0]], ('6.50T', 0.9283655285835266)], [[[220.0, 870.0], [274.0, 870.0], [274.0, 913.0], [220.0, 913.0]], ('VF', 0.9884673357009888)], [[[937.0, 862.0], [1261.0, 890.0], [1257.0, 932.0], [933.0, 904.0]], ('ITEM=78132', 0.9566326141357422)], [[[442.0, 884.0], [711.0, 906.0], [708.0, 948.0], [439.0, 926.0]], ('MasterCard', 0.9905792474746704)], [[[1085.0, 932.0], [1205.0, 942.0], [1201.0, 992.0], [1081.0, 982.0]], ('7.02', 0.9945022463798523)], [[[436.0, 946.0], [1059.0, 996.0], [1056.0, 1037.0], [433.0, 988.0]], ('Acc12230', 0.7843552231788635)], [[[429.0, 1005.0], [699.0, 1027.0], [695.0, 1073.0], [425.0, 1051.0]], ('Se9#4011', 0.8863012790679932)], [[[1578.0, 1047.0], [1661.0, 1011.0], [1682.0, 1057.0], [1599.0, 1079.0]], ('inu', 0.8450459837913513)], [[[1864.0, 1038.0], [1918.0, 1038.0], [1918.0, 1074.0], [1864.0, 1074.0]], ('ey', 0.7248404026031494)], [[[1474.0, 1049.0], [1793.0, 856.0], [1818.0, 896.0], [1499.0, 1079.0]], ('*************', 0.73131263256073)]]	{"store_name": "WHOLE FOODS MARKET", "store_addr": "2375E.1stAve", "telephone": "DENVER,CO80206(720)941-4100", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "16OZGRNSMOOTHIE", "item_value": "6.50", "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	[[[[136.0, 169.0], [490.0, 156.0], [491.0, 196.0], [137.0, 209.0]], ('CLEANING SUPPLIES', 0.9798184633255005)], [[[786.0, 192.0], [813.0, 192.0], [813.0, 232.0], [786.0, 232.0]], ('T', 0.9700581431388855)], [[[888.0, 186.0], [1006.0, 181.0], [1008.0, 229.0], [889.0, 234.0]], ('$9.99', 0.9810901880264282)], [[[443.0, 197.0], [596.0, 193.0], [597.0, 235.0], [444.0, 239.0]], ('GAIN 2X', 0.9335072636604309)], [[[136.0, 207.0], [325.0, 203.0], [326.0, 243.0], [137.0, 247.0]], ('003080612', 0.9987936019897461)], [[[138.0, 283.0], [305.0, 283.0], [305.0, 318.0], [138.0, 318.0]], ('CLOTHING', 0.9938622117042542)], [[[782.0, 308.0], [813.0, 308.0], [813.0, 353.0], [782.0, 353.0]], ('T', 0.991007387638092)], [[[888.0, 305.0], [1007.0, 305.0], [1007.0, 353.0], [888.0, 353.0]], ('$7.49', 0.9051028490066528)], [[[140.0, 323.0], [326.0, 323.0], [326.0, 358.0], [140.0, 358.0]], ('098090058', 0.9986989498138428)], [[[446.0, 315.0], [659.0, 310.0], [660.0, 351.0], [447.0, 357.0]], ('KIWI SUPER', 0.9704846143722534)], [[[140.0, 398.0], [288.0, 398.0], [288.0, 438.0], [140.0, 438.0]], ('GROCERY', 0.9977418184280396)], [[[450.0, 433.0], [641.0, 433.0], [641.0, 473.0], [450.0, 473.0]], ('PETER PAN', 0.9548910856246948)], [[[760.0, 432.0], [811.0, 432.0], [811.0, 473.0], [760.0, 473.0]], ('FN', 0.9948514103889465)], [[[888.0, 428.0], [1006.0, 428.0], [1006.0, 470.0], [888.0, 470.0]], ('$2.42', 0.9915801286697388)], [[[141.0, 442.0], [328.0, 438.0], [329.0, 475.0], [142.0, 479.0]], ('212020540', 0.9984001517295837)], [[[145.0, 478.0], [329.0, 478.0], [329.0, 513.0], [145.0, 513.0]], ('212080513', 0.9987525939941406)], [[[450.0, 475.0], [680.0, 471.0], [680.0, 511.0], [450.0, 515.0]], ('MP DRESSING', 0.95601886510849)], [[[760.0, 470.0], [811.0, 470.0], [811.0, 512.0], [760.0, 512.0]], ('FN', 0.9948190450668335)], [[[886.0, 469.0], [1001.0, 465.0], [1003.0, 506.0], [887.0, 510.0]], ('$1.77', 0.9959421157836914)], [[[143.0, 513.0], [331.0, 513.0], [331.0, 553.0], [143.0, 553.0]], ('212261975', 0.9987307786941528)], [[[450.0, 512.0], [619.0, 512.0], [619.0, 552.0], [450.0, 552.0]], ('MP SALSA', 0.9444618821144104)], [[[760.0, 508.0], [811.0, 508.0], [811.0, 552.0], [760.0, 552.0]], ('FN', 0.9931333065032959)], [[[888.0, 507.0], [1004.0, 507.0], [1004.0, 548.0], [888.0, 548.0]], ('$1.89', 0.994311511516571)], [[[450.0, 552.0], [677.0, 552.0], [677.0, 587.0], [450.0, 587.0]], ('CNTRY CROCK', 0.9535131454467773)], [[[759.0, 548.0], [811.0, 548.0], [811.0, 588.0], [759.0, 588.0]], ('FN', 0.995718240737915)], [[[888.0, 545.0], [1004.0, 545.0], [1004.0, 588.0], [888.0, 588.0]], ('$2.19', 0.9960503578186035)], [[[147.0, 555.0], [329.0, 555.0], [329.0, 590.0], [147.0, 590.0]], ('284130077', 0.9985986351966858)], [[[146.0, 628.0], [619.0, 625.0], [619.0, 665.0], [147.0, 668.0]], ('HEALTH-BEAUTY-COSMETICS', 0.9912501573562622)], [[[148.0, 670.0], [331.0, 670.0], [331.0, 703.0], [148.0, 703.0]], ('049002100', 0.9990918636322021)], [[[452.0, 668.0], [701.0, 668.0], [701.0, 703.0], [452.0, 703.0]], ('IRISH SPRING', 0.9675766825675964)], [[[782.0, 665.0], [811.0, 665.0], [811.0, 702.0], [782.0, 702.0]], ('T', 0.8013225793838501)], [[[888.0, 662.0], [1007.0, 662.0], [1007.0, 703.0], [888.0, 703.0]], ('$3.50', 0.9895598292350769)], [[[450.0, 705.0], [792.0, 703.0], [793.0, 738.0], [450.0, 740.0]], ('Saved $1.09 off', 0.9200192093849182)], [[[776.0, 703.0], [895.0, 703.0], [895.0, 740.0], [776.0, 740.0]], ('$4.59', 0.9939473867416382)], [[[145.0, 743.0], [327.0, 743.0], [327.0, 778.0], [145.0, 778.0]], ('049060134', 0.998254656791687)], [[[448.0, 742.0], [552.0, 742.0], [552.0, 778.0], [448.0, 778.0]], ('FOAMY', 0.9969752430915833)], [[[784.0, 740.0], [810.0, 740.0], [810.0, 778.0], [784.0, 778.0]], ('T', 0.9783299565315247)], [[[886.0, 739.0], [1006.0, 733.0], [1008.0, 776.0], [888.0, 782.0]], ('$1.77', 0.9960856437683105)], [[[141.0, 780.0], [326.0, 780.0], [326.0, 815.0], [141.0, 815.0]], ('049090365', 0.9984924793243408)], [[[445.0, 778.0], [595.0, 778.0], [595.0, 818.0], [445.0, 818.0]], ('COLGATE', 0.9977912902832031)], [[[782.0, 773.0], [818.0, 780.0], [810.0, 822.0], [774.0, 815.0]], ('N', 0.9853046536445618)], [[[888.0, 779.0], [1008.0, 775.0], [1010.0, 816.0], [889.0, 820.0]], ('$3.39', 0.9976106882095337)], [[[130.0, 852.0], [218.0, 852.0], [218.0, 890.0], [130.0, 890.0]], ('HOME', 0.9989697933197021)], [[[126.0, 890.0], [315.0, 890.0], [315.0, 925.0], [126.0, 925.0]], ('253030134', 0.9988072514533997)], [[[438.0, 888.0], [568.0, 888.0], [568.0, 925.0], [438.0, 925.0]], ('BOUNTY', 0.9970417022705078)], [[[776.0, 888.0], [810.0, 884.0], [816.0, 927.0], [782.0, 931.0]], ('T', 0.9818214774131775)], [[[893.0, 889.0], [1016.0, 883.0], [1018.0, 926.0], [895.0, 932.0]], ('$5.49', 0.9814389944076538)], [[[118.0, 923.0], [309.0, 927.0], [308.0, 967.0], [117.0, 963.0]], ('253060122', 0.9986966252326965)], [[[436.0, 928.0], [651.0, 928.0], [651.0, 963.0], [436.0, 963.0]], ('COTTONELLE', 0.9966088533401489)], [[[779.0, 927.0], [815.0, 927.0], [815.0, 967.0], [779.0, 967.0]], ('N', 0.9955970644950867)], [[[898.0, 928.0], [1019.0, 928.0], [1019.0, 965.0], [898.0, 965.0]], ('$6.74', 0.9927419424057007)], [[[99.0, 998.0], [196.0, 998.0], [196.0, 1040.0], [99.0, 1040.0]], ('MISC', 0.9975041151046753)], [[[92.0, 1039.0], [289.0, 1033.0], [290.0, 1068.0], [93.0, 1074.0]], ('083171643', 0.9982962012290955)], [[[416.0, 1032.0], [646.0, 1028.0], [646.0, 1063.0], [416.0, 1067.0]], ('DOG TREATS', 0.9670284986495972)], [[[781.0, 1030.0], [816.0, 1030.0], [816.0, 1072.0], [781.0, 1072.0]], ('T', 0.9959048628807068)], [[[903.0, 1032.0], [1035.0, 1032.0], [1035.0, 1073.0], [903.0, 1073.0]], ('$2.84', 0.9957178831100464)], [[[83.0, 1074.0], [279.0, 1070.0], [280.0, 1110.0], [84.0, 1114.0]], ('790011899', 0.9983164668083191)], [[[414.0, 1070.0], [644.0, 1070.0], [644.0, 1105.0], [414.0, 1105.0]], ('GIFT CARDS', 0.9588502645492554)], [[[784.0, 1072.0], [820.0, 1072.0], [820.0, 1107.0], [784.0, 1107.0]], ('N', 0.9933253526687622)], [[[880.0, 1070.0], [1040.0, 1074.0], [1039.0, 1114.0], [879.0, 1110.0]], ('$25.00', 0.9972010254859924)], [[[407.0, 1110.0], [861.0, 1112.0], [861.0, 1147.0], [407.0, 1145.0]], ('041-211-888-495-763', 0.9896852374076843)], [[[404.0, 1152.0], [651.0, 1152.0], [651.0, 1192.0], [404.0, 1192.0]], ('NEWBAL', 0.9913102984428406)], [[[631.0, 1152.0], [791.0, 1152.0], [791.0, 1192.0], [631.0, 1192.0]], ('$25.00', 0.9950860142707825)], [[[72.0, 1195.0], [269.0, 1195.0], [269.0, 1235.0], [72.0, 1235.0]], ('790011899', 0.9977540969848633)], [[[409.0, 1198.0], [643.0, 1198.0], [643.0, 1233.0], [409.0, 1233.0]], ('GIFT CARDS', 0.9328426122665405)], [[[789.0, 1202.0], [818.0, 1202.0], [818.0, 1235.0], [789.0, 1235.0]], ('N', 0.9966385364532471)], [[[890.0, 1198.0], [1050.0, 1198.0], [1050.0, 1240.0], [890.0, 1240.0]], ('$10.00', 0.9974347949028015)], [[[408.0, 1237.0], [864.0, 1240.0], [864.0, 1280.0], [407.0, 1277.0]], ('041-211-888-495-771', 0.9928333163261414)], [[[410.0, 1278.0], [795.0, 1284.0], [794.0, 1329.0], [409.0, 1323.0]], ('NEWBAL$10.00', 0.9600247740745544)], [[[628.0, 1365.0], [818.0, 1369.0], [818.0, 1410.0], [627.0, 1406.0]], ('SUBTOTAL', 0.9968105554580688)], [[[896.0, 1367.0], [1054.0, 1363.0], [1055.0, 1406.0], [897.0, 1410.0]], ('$84.48', 0.9958100318908691)], [[[278.0, 1407.0], [830.0, 1410.0], [830.0, 1455.0], [278.0, 1452.0]], ('Your REDcard Savings 5%', 0.9569797515869141)], [[[920.0, 1410.0], [1077.0, 1410.0], [1077.0, 1457.0], [920.0, 1457.0]], ('$2.47-', 0.9764102101325989)], [[[126.0, 1448.0], [830.0, 1455.0], [830.0, 1500.0], [126.0, 1493.0]], ('T=PA TAX8.0000% on $29.53', 0.9153289198875427)], [[[922.0, 1455.0], [1059.0, 1455.0], [1059.0, 1502.0], [922.0, 1502.0]], ('$2.36', 0.9963521957397461)], [[[704.0, 1498.0], [832.0, 1498.0], [832.0, 1547.0], [704.0, 1547.0]], ('TOTAL', 0.9986648559570312)], [[[903.0, 1503.0], [1055.0, 1503.0], [1055.0, 1545.0], [903.0, 1545.0]], ('$84.37', 0.997302234172821)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$84.48", "tax": "$2.36", "total": "$84.37", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GAIN2X", "item_value": "$9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KIWISUPER", "item_value": "$7.47", "item_quantity": "1"}, {"item_key": "", "item_name": "PETERPAN", "item_value": "$2.42", "item_quantity": "1"}, {"item_key": "", "item_name": "MPDRESSING", "item_value": "$1.77", "item_quantity": "1"}, {"item_key": "", "item_name": "MPSALSA", "item_value": "$1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "CNTRYCROCK", "item_value": "$2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "IRISHSPRING", "item_value": "$3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FOAMY", "item_value": "$1.77", "item_quantity": "1"}, {"item_key": "", "item_name": "COLGATE", "item_value": "$3.39", "item_quantity": "1"}, {"item_key": "", "item_name": "BOUNTY", "item_value": "$5.49", "item_quantity": "1"}, {"item_key": "", "item_name": "COTTONELLE", "item_value": "$6.74", "item_quantity": "1"}, {"item_key": "", "item_name": "DOGTREATS", "item_value": "$2.84", "item_quantity": "1"}, {"item_key": "", "item_name": "GIFTCARDS", "item_value": "$25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GIFTCARDS", "item_value": "$10.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[176.0, 54.0], [271.0, 54.0], [271.0, 68.0], [176.0, 68.0]], ('Shop Reciept', 0.9571981430053711)], [[[146.0, 68.0], [301.0, 68.0], [301.0, 81.0], [146.0, 81.0]], ('Adress:Lorem Ipsum14-34', 0.9519174695014954)], [[[157.0, 79.0], [289.0, 79.0], [289.0, 92.0], [157.0, 92.0]], ('Te1:0833 800 967 5643', 0.8951069712638855)], [[[131.0, 105.0], [166.0, 108.0], [165.0, 122.0], [130.0, 119.0]], ('Date:', 0.933632493019104)], [[[205.0, 109.0], [266.0, 109.0], [266.0, 119.0], [205.0, 119.0]], ('01/02/2017', 0.9911967515945435)], [[[266.0, 109.0], [306.0, 109.0], [306.0, 119.0], [266.0, 119.0]], ('14:04', 0.9343296885490417)], [[[134.0, 133.0], [200.0, 133.0], [200.0, 144.0], [134.0, 144.0]], ('Lorem ipsum', 0.9573596715927124)], [[[278.0, 133.0], [304.0, 133.0], [304.0, 145.0], [278.0, 145.0]], ('4,55', 0.9133514761924744)], [[[133.0, 145.0], [190.0, 145.0], [190.0, 159.0], [133.0, 159.0]], ('Dolor sit', 0.9544031620025635)], [[[272.0, 145.0], [305.0, 145.0], [305.0, 159.0], [272.0, 159.0]], ('13,65', 0.9551630020141602)], [[[134.0, 159.0], [162.0, 159.0], [162.0, 171.0], [134.0, 171.0]], ('Amet', 0.9941365718841553)], [[[276.0, 158.0], [306.0, 158.0], [306.0, 171.0], [276.0, 171.0]], ('5,60', 0.930161714553833)], [[[134.0, 172.0], [221.0, 172.0], [221.0, 182.0], [134.0, 182.0]], ('Consectetur ad.', 0.9485741257667542)], [[[278.0, 171.0], [306.0, 171.0], [306.0, 184.0], [278.0, 184.0]], ('4,90', 0.9540562033653259)], [[[134.0, 185.0], [166.0, 185.0], [166.0, 196.0], [134.0, 196.0]], ('Lorem', 0.9960597157478333)], [[[278.0, 185.0], [304.0, 185.0], [304.0, 196.0], [278.0, 196.0]], ('3,67', 0.9036202430725098)], [[[132.0, 196.0], [218.0, 196.0], [218.0, 210.0], [132.0, 210.0]], ('Dolor sit Amet', 0.9375043511390686)], [[[271.0, 196.0], [305.0, 196.0], [305.0, 210.0], [271.0, 210.0]], ('14,00', 0.9635788798332214)], [[[133.0, 255.0], [167.0, 255.0], [167.0, 268.0], [133.0, 268.0]], ('Cash:', 0.970079779624939)], [[[289.0, 250.0], [305.0, 250.0], [305.0, 262.0], [289.0, 262.0]], ('60', 0.9961705207824707)], [[[132.0, 265.0], [177.0, 268.0], [176.0, 281.0], [131.0, 279.0]], ('CHANGE:', 0.9751054644584656)], [[[277.0, 262.0], [306.0, 262.0], [306.0, 277.0], [277.0, 277.0]], ('0,76', 0.9257720708847046)], [[[131.0, 283.0], [309.0, 283.0], [309.0, 296.0], [131.0, 296.0]], ('VAT/TAX INCLUDED IN ABOVE TOTAL', 0.9481432437896729)], [[[134.0, 297.0], [219.0, 297.0], [219.0, 309.0], [134.0, 309.0]], ('RATE A 2300%', 0.9143624305725098)], [[[278.0, 298.0], [306.0, 298.0], [306.0, 310.0], [278.0, 310.0]], ('4,55', 0.9300116300582886)], [[[133.0, 308.0], [215.0, 309.0], [215.0, 323.0], [133.0, 322.0]], ('RATE B5,00%', 0.9118818640708923)], [[[278.0, 310.0], [306.0, 310.0], [306.0, 323.0], [278.0, 323.0]], ('1,99', 0.9571070075035095)], [[[104.0, 452.0], [343.0, 451.0], [344.0, 465.0], [105.0, 466.0]], ('www.shutterstock.com.596243057', 0.9814006090164185)]]	{"store_name": "", "store_addr": "Adress:LoremIpsum,14-34", "telephone": "08338009675643", "date": "01/02/2017", "time": "14:04", "subtotal": "", "tax": "4,55 1,99", "total": "59.24", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Loremipsum", "item_value": "4,55", "item_quantity": "1"}, {"item_key": "", "item_name": "Dolorsit", "item_value": "13,65", "item_quantity": "1"}, {"item_key": "", "item_name": "Amet", "item_value": "5,60", "item_quantity": "1"}, {"item_key": "", "item_name": "Consecteturad.", "item_value": "4,90", "item_quantity": "1"}, {"item_key": "", "item_name": "Lorem", "item_value": "3,67", "item_quantity": "1"}, {"item_key": "", "item_name": "DolorsitAmet", "item_value": "14,00", "item_quantity": "1"}, {"item_key": "", "item_name": "Consectetur", "item_value": "12,87", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[160.0, 102.0], [385.0, 108.0], [384.0, 125.0], [159.0, 119.0]], ('LAVACAAZUL', 0.9896286129951477)], [[[166.0, 121.0], [380.0, 130.0], [379.0, 147.0], [165.0, 139.0]], ('RESTAURANTE', 0.9979580044746399)], [[[193.0, 144.0], [351.0, 150.0], [350.0, 170.0], [192.0, 164.0]], ('CAPBRUBOMPS.L.', 0.9725083112716675)], [[[93.0, 164.0], [422.0, 177.0], [421.0, 196.0], [92.0, 183.0]], ('REQUENA9-EL COTILLO -LA OLIVA', 0.952075719833374)], [[[98.0, 214.0], [282.0, 221.0], [281.0, 242.0], [97.0, 234.0]], ('SU CUENTA:Gracias', 0.9441747069358826)], [[[357.0, 302.0], [423.0, 304.0], [422.0, 329.0], [356.0, 326.0]], ('MC #01', 0.9299294352531433)], [[[72.0, 319.0], [381.0, 331.0], [380.0, 353.0], [71.0, 341.0]], ('REG CAJER0221-03-2014 14:05', 0.9432581663131714)], [[[418.0, 334.0], [483.0, 334.0], [483.0, 358.0], [418.0, 358.0]], ('002993', 0.9990686774253845)], [[[72.0, 347.0], [215.0, 351.0], [214.0, 372.0], [71.0, 368.0]], ('CUENTA No.53', 0.9626419544219971)], [[[105.0, 402.0], [113.0, 402.0], [113.0, 413.0], [105.0, 413.0]], ('1', 0.6403764486312866)], [[[131.0, 398.0], [256.0, 402.0], [255.0, 422.0], [130.0, 418.0]], ('AGUA SIN GAS', 0.960106372833252)], [[[392.0, 409.0], [436.0, 409.0], [436.0, 431.0], [392.0, 431.0]], ('1.60', 0.9952861666679382)], [[[133.0, 421.0], [321.0, 428.0], [320.0, 448.0], [132.0, 440.0]], ('PULPO PLANCHA VERDE', 0.9596467018127441)], [[[388.0, 430.0], [434.0, 433.0], [433.0, 454.0], [386.0, 451.0]], ('8.50', 0.9956470727920532)], [[[134.0, 443.0], [301.0, 449.0], [300.0, 467.0], [133.0, 461.0]], ('PARRI.PESCADO X2', 0.9420338273048401)], [[[376.0, 451.0], [430.0, 455.0], [429.0, 476.0], [374.0, 472.0]], ('25.00', 0.9973607063293457)], [[[136.0, 463.0], [270.0, 468.0], [269.0, 488.0], [135.0, 482.0]], ('IMPORTE', 0.9971533417701721)], [[[137.0, 482.0], [205.0, 486.0], [204.0, 504.0], [136.0, 501.0]], ('IGIC 7%', 0.9324477314949036)], [[[373.0, 473.0], [426.0, 476.0], [425.0, 497.0], [372.0, 494.0]], ('35.10', 0.9970943331718445)], [[[137.0, 499.0], [247.0, 505.0], [246.0, 523.0], [136.0, 517.0]], ('SLDOPTE', 0.9712309241294861)], [[[379.0, 494.0], [422.0, 497.0], [421.0, 515.0], [377.0, 513.0]], ('2.46', 0.9937070608139038)], [[[322.0, 509.0], [416.0, 514.0], [415.0, 531.0], [321.0, 525.0]], ('37.56', 0.9718400239944458)]]	{"store_name": "LAVACAAZUL RESTAURANTE", "store_addr": "REQUENA,9-ELCOTILLO-LAOLIVA", "telephone": "", "date": "21-03-2014", "time": "14:05", "subtotal": "35.10", "tax": "2.46", "total": "37.56", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AGUASINGAS", "item_value": "1.60", "item_quantity": "1"}, {"item_key": "", "item_name": "PULPOPLANCHAVERDE", "item_value": "8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PARRI.PESCADOX2", "item_value": "25.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[83.0, 28.0], [150.0, 28.0], [150.0, 42.0], [83.0, 42.0]], ('Cash Invoice', 0.940485954284668)], [[[110.0, 40.0], [123.0, 40.0], [123.0, 47.0], [110.0, 47.0]], ('7A', 0.6629064679145813)], [[[66.0, 64.0], [171.0, 64.0], [171.0, 77.0], [66.0, 77.0]], ('FUN AND GOURMET LTD', 0.9067487120628357)], [[[72.0, 55.0], [160.0, 56.0], [160.0, 67.0], [72.0, 66.0]], ('OIONYSUS MANSION', 0.915473222732544)], [[[83.0, 84.0], [150.0, 84.0], [150.0, 95.0], [83.0, 95.0]], ('Tel:25222210', 0.9509491920471191)], [[[88.0, 75.0], [138.0, 75.0], [138.0, 86.0], [88.0, 86.0]], ('LIMASSOL', 0.9883564710617065)], [[[51.0, 93.0], [180.0, 93.0], [180.0, 106.0], [51.0, 106.0]], ('TIC NoVAT No10341450C', 0.9344208836555481)], [[[0.0, 113.0], [107.0, 111.0], [108.0, 126.0], [0.0, 127.0]], ('Date26/07/2016', 0.9844995737075806)], [[[145.0, 114.0], [230.0, 111.0], [231.0, 126.0], [146.0, 129.0]], ('Time23:01:45', 0.8740233778953552)], [[[2.0, 126.0], [131.0, 126.0], [131.0, 136.0], [2.0, 136.0]], ('CashIer: GEORGE_ZAXAROGL', 0.878160297870636)], [[[148.0, 124.0], [232.0, 124.0], [232.0, 137.0], [148.0, 137.0]], ('InvNo00005360', 0.9674360752105713)], [[[0.0, 135.0], [60.0, 135.0], [60.0, 149.0], [0.0, 149.0]], ('Party4', 0.9756315350532532)], [[[1.0, 157.0], [62.0, 157.0], [62.0, 168.0], [1.0, 168.0]], ('Description', 0.9941051602363586)], [[[109.0, 155.0], [127.0, 155.0], [127.0, 168.0], [109.0, 168.0]], ('Qty', 0.9871609807014465)], [[[140.0, 151.0], [173.0, 154.0], [172.0, 169.0], [139.0, 166.0]], ('Price', 0.9932453036308289)], [[[192.0, 155.0], [234.0, 155.0], [234.0, 169.0], [192.0, 169.0]], ('Total V', 0.8851399421691895)], [[[1.0, 177.0], [95.0, 177.0], [95.0, 190.0], [1.0, 190.0]], ('Agios Nikolaos 1L', 0.8641820549964905)], [[[114.0, 177.0], [134.0, 177.0], [134.0, 190.0], [114.0, 190.0]], ('20', 0.860896646976471)], [[[143.0, 183.0], [176.0, 183.0], [176.0, 215.0], [143.0, 215.0]], ('2.00', 0.6863524913787842)], [[[146.0, 176.0], [173.0, 176.0], [173.0, 192.0], [146.0, 192.0]], ('2.00', 0.9954079389572144)], [[[197.0, 175.0], [224.0, 175.0], [224.0, 190.0], [197.0, 190.0]], ('4.00', 0.9880121946334839)], [[[1.0, 188.0], [93.0, 188.0], [93.0, 201.0], [1.0, 201.0]], ('Coca Cola Bottle', 0.9480974674224854)], [[[113.0, 186.0], [136.0, 186.0], [136.0, 202.0], [113.0, 202.0]], ('10', 0.5920127630233765)], [[[196.0, 186.0], [224.0, 186.0], [224.0, 201.0], [196.0, 201.0]], ('2.00', 0.9781330823898315)], [[[1.0, 198.0], [102.0, 198.0], [102.0, 212.0], [1.0, 212.0]], ('Coca Cola Zero Bot', 0.9441829323768616)], [[[114.0, 196.0], [127.0, 196.0], [127.0, 211.0], [114.0, 211.0]], ('2', 0.9903774857521057)], [[[197.0, 197.0], [224.0, 197.0], [224.0, 212.0], [197.0, 212.0]], ('4.00', 0.9948971271514893)], [[[2.0, 209.0], [103.0, 209.0], [103.0, 222.0], [2.0, 222.0]], ('Kyperountas Roze G', 0.9356856942176819)], [[[2.0, 228.0], [92.0, 229.0], [92.0, 243.0], [2.0, 242.0]], ('HALLOUMI STARTER', 0.9615157842636108)], [[[4.0, 220.0], [80.0, 220.0], [80.0, 231.0], [4.0, 231.0]], ('TAHINI STARTER', 0.9723123908042908)], [[[5.0, 241.0], [71.0, 241.0], [71.0, 252.0], [5.0, 252.0]], ('ORZO STARTER', 0.960141658782959)], [[[142.0, 235.0], [177.0, 235.0], [177.0, 268.0], [142.0, 268.0]], ('48.60', 0.5417191386222839)], [[[4.0, 251.0], [70.0, 251.0], [70.0, 262.0], [4.0, 262.0]], ('COWBOY STEAK', 0.8727613091468811)], [[[117.0, 250.0], [136.0, 250.0], [136.0, 263.0], [117.0, 263.0]], ('10', 0.9067334532737732)], [[[146.0, 247.0], [162.0, 255.0], [155.0, 268.0], [139.0, 260.0]], ('46', 0.990047812461853)], [[[142.0, 258.0], [174.0, 258.0], [174.0, 277.0], [142.0, 277.0]], ('14.50', 0.9872671961784363)], [[[192.0, 250.0], [223.0, 250.0], [223.0, 265.0], [192.0, 265.0]], ('46.00', 0.993120014667511)], [[[3.0, 260.0], [61.0, 260.0], [61.0, 274.0], [3.0, 274.0]], ('PORK BELLY', 0.9479120373725891)], [[[193.0, 260.0], [223.0, 260.0], [223.0, 276.0], [193.0, 276.0]], ('14.50', 0.9889476895332336)], [[[3.0, 271.0], [65.0, 271.0], [65.0, 285.0], [3.0, 285.0]], ('DUCK FILLET', 0.9505428075790405)], [[[143.0, 270.0], [173.0, 270.0], [173.0, 286.0], [143.0, 286.0]], ('14.50', 0.9561631083488464)], [[[193.0, 270.0], [224.0, 273.0], [222.0, 288.0], [191.0, 285.0]], ('14.50', 0.9933370351791382)], [[[81.0, 283.0], [113.0, 283.0], [113.0, 294.0], [81.0, 294.0]], ('(Total', 0.943986177444458)], [[[111.0, 283.0], [138.0, 283.0], [138.0, 294.0], [111.0, 294.0]], ('Qty', 0.994022786617279)], [[[144.0, 282.0], [160.0, 282.0], [160.0, 295.0], [144.0, 295.0]], ('12)', 0.976145327091217)], [[[4.0, 303.0], [88.0, 303.0], [88.0, 316.0], [4.0, 316.0]], ('Grand Total EUR', 0.9028778076171875)], [[[187.0, 301.0], [224.0, 305.0], [222.0, 320.0], [185.0, 316.0]], ('105.00', 0.9962875843048096)], [[[65.0, 333.0], [165.0, 335.0], [165.0, 349.0], [65.0, 347.0]], ('[V.A.T Analysis]', 0.8875347971916199)], [[[4.0, 347.0], [51.0, 347.0], [51.0, 358.0], [4.0, 358.0]], ('%006S', 0.8609843254089355)], [[[84.0, 347.0], [115.0, 347.0], [115.0, 358.0], [84.0, 358.0]], ('96.33', 0.9835391044616699)], [[[142.0, 346.0], [165.0, 346.0], [165.0, 358.0], [142.0, 358.0]], ('8.67', 0.9944300651550293)], [[[188.0, 343.0], [224.0, 347.0], [222.0, 362.0], [186.0, 358.0]], ('105.00', 0.9956476092338562)], [[[83.0, 366.0], [116.0, 366.0], [116.0, 380.0], [83.0, 380.0]], ('96.33', 0.9676782488822937)], [[[144.0, 363.0], [168.0, 366.0], [166.0, 381.0], [142.0, 378.0]], ('8.67', 0.9919178485870361)], [[[188.0, 365.0], [224.0, 369.0], [222.0, 383.0], [186.0, 379.0]], ('105.00', 0.9929191470146179)], [[[90.0, 387.0], [145.0, 387.0], [145.0, 401.0], [90.0, 401.0]], ('Thank You!', 0.9206870794296265)], [[[82.0, 410.0], [163.0, 410.0], [163.0, 422.0], [82.0, 422.0]], ('cSoftech Ltd', 0.9671032428741455)]]	{"store_name": "FUNANDGOURMETLTD", "store_addr": "OIONYSUSMANSION LIMASSOL", "telephone": "25222210", "date": "25/07/2016", "time": "23:01:45", "subtotal": "96.33 96.33", "tax": "8.67 8.67", "total": "105.00 105.00 105.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AgiosNikolaos1L", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CocaColaBottle", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CocaColaZeroBot", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KyperountasRoze6", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TAHINISTARTER", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "HALLOUMISTARTER", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ORZOSTARTER", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "COWBOYSTEAK", "item_value": "46.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PORKBELLY", "item_value": "14.50", "item_quantity": "1"}, {"item_key": "", "item_name": "DUCKFILLET", "item_value": "14.50", "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	[[[[152.0, 126.0], [253.0, 126.0], [253.0, 141.0], [152.0, 141.0]], ('LA NONNA', 0.9298046827316284)], [[[93.0, 141.0], [314.0, 139.0], [314.0, 157.0], [93.0, 158.0]], ('*******', 0.6599143147468567)], [[[81.0, 176.0], [274.0, 176.0], [274.0, 189.0], [81.0, 189.0]], ('03313Table 5farty 1', 0.6723285913467407)], [[[80.0, 192.0], [308.0, 192.0], [308.0, 206.0], [80.0, 206.0]], ('CEA8RCRrC 57-920p09/2212', 0.7064328193664551)], [[[100.0, 208.0], [246.0, 207.0], [246.0, 221.0], [100.0, 222.0]], ('Beparate checka:1-or', 0.7495602369308472)], [[[82.0, 240.0], [191.0, 240.0], [191.0, 254.0], [82.0, 254.0]], ('LZuopa a muscol', 0.7422845959663391)], [[[79.0, 253.0], [179.0, 255.0], [179.0, 272.0], [79.0, 270.0]], ('ebesnes juung ', 0.6356419324874878)], [[[211.0, 283.0], [285.0, 285.0], [285.0, 302.0], [211.0, 300.0]], ('Sub Total', 0.7661268711090088)], [[[290.0, 285.0], [326.0, 287.0], [325.0, 303.0], [289.0, 300.0]], ('2.6.90', 0.8042692542076111)], [[[249.0, 302.0], [288.0, 302.0], [288.0, 317.0], [249.0, 317.0]], ('TAX', 0.8498751521110535)], [[[296.0, 302.0], [326.0, 302.0], [326.0, 317.0], [296.0, 317.0]], ('2.39', 0.9584149122238159)], [[[79.0, 315.0], [225.0, 316.0], [225.0, 334.0], [79.0, 333.0]], ('9/21pTOTAL', 0.7618566155433655)], [[[260.0, 317.0], [325.0, 317.0], [325.0, 335.0], [260.0, 335.0]], ('29.29', 0.8317338824272156)], [[[102.0, 349.0], [299.0, 351.0], [299.0, 365.0], [102.0, 363.0]], ('3*****31******', 0.5497202277183533)], [[[107.0, 363.0], [289.0, 366.0], [289.0, 383.0], [107.0, 380.0]], ("LIITLE ITALY'S FINESI DENING", 0.7348653674125671)], [[[138.0, 379.0], [258.0, 382.0], [257.0, 400.0], [138.0, 396.0]], ('134 Mulberry Street', 0.8267388343811035)], [[[143.0, 396.0], [258.0, 397.0], [257.0, 415.0], [143.0, 413.0]], ('w fork Ny 1001', 0.662679135799408)], [[[157.0, 416.0], [245.0, 416.0], [245.0, 430.0], [157.0, 430.0]], ('099-522222)', 0.6323524117469788)], [[[150.0, 444.0], [249.0, 446.0], [248.0, 463.0], [149.0, 461.0]], ('HAVE A NICE DAY', 0.8124408721923828)], [[[96.0, 461.0], [300.0, 466.0], [300.0, 480.0], [96.0, 475.0]], ('*************2*', 0.6148873567581177)]]	{"store_name": "LANONNA", "store_addr": "", "telephone": "(212)334-6200", "date": "09/22 09/22/12", "time": "10:10p", "subtotal": "26.90", "tax": "2.39", "total": "29.29", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ZuppaDiMuscoli", "item_value": "11.95", "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	[[[[89.0, 4.0], [192.0, 0.0], [193.0, 10.0], [89.0, 15.0]], ('and tell us about your', 0.9199672341346741)], [[[83.0, 14.0], [162.0, 11.0], [162.0, 24.0], [83.0, 27.0]], ('Va lidation Code', 0.8034062385559082)], [[[74.0, 26.0], [239.0, 16.0], [240.0, 29.0], [75.0, 40.0]], ('Expires 30 days after receipt date.', 0.9252265691757202)], [[[70.0, 37.0], [244.0, 27.0], [244.0, 41.0], [71.0, 51.0]], ("Valld at participating US HcDona ld's.", 0.8714537620544434)], [[[104.0, 46.0], [166.0, 42.0], [166.0, 56.0], [104.0, 60.0]], ('Survey code', 0.943654477596283)], [[[83.0, 56.0], [231.0, 51.0], [232.0, 65.0], [83.0, 70.0]], ('17280-13640-52417-16593-00010-8', 0.9658969044685364)], [[[127.0, 66.0], [185.0, 64.0], [185.0, 78.0], [128.0, 80.0]], ('7320N10TH', 0.9843296408653259)], [[[137.0, 77.0], [176.0, 77.0], [176.0, 91.0], [137.0, 91.0]], ('MCALLEN', 0.9821428060531616)], [[[141.0, 90.0], [164.0, 90.0], [164.0, 102.0], [141.0, 102.0]], ('IX', 0.7084709405899048)], [[[141.0, 101.0], [172.0, 101.0], [172.0, 115.0], [141.0, 115.0]], ('78504', 0.9960365295410156)], [[[103.0, 112.0], [210.0, 111.0], [210.0, 125.0], [103.0, 126.0]], ('THANK YOU', 0.9341341853141785)], [[[74.0, 124.0], [234.0, 123.0], [234.0, 136.0], [74.0, 137.0]], ('TEL# 956 9721476 Store# 17280', 0.9010909795761108)], [[[52.0, 159.0], [89.0, 159.0], [89.0, 173.0], [52.0, 173.0]], ('KS#13', 0.9930426478385925)], [[[144.0, 160.0], [257.0, 155.0], [257.0, 169.0], [145.0, 174.0]], ('Hay.2417 Wed16:59', 0.8856629729270935)], [[[47.0, 179.0], [154.0, 182.0], [154.0, 196.0], [46.0, 193.0]], ('Sidel KVS Order 64', 0.8337541818618774)], [[[43.0, 202.0], [93.0, 205.0], [92.0, 220.0], [42.0, 217.0]], ('QTY ITEM', 0.9073352813720703)], [[[230.0, 205.0], [261.0, 205.0], [261.0, 218.0], [230.0, 218.0]], ('TOTAL', 0.9983509182929993)], [[[54.0, 218.0], [133.0, 222.0], [132.0, 235.0], [53.0, 232.0]], ('1 Cheeseburger', 0.938677966594696)], [[[235.0, 218.0], [264.0, 218.0], [264.0, 233.0], [235.0, 233.0]], ('1.00', 0.996567964553833)], [[[35.0, 245.0], [87.0, 247.0], [87.0, 262.0], [34.0, 260.0]], ('Subtotal', 0.9600178599357605)], [[[239.0, 248.0], [267.0, 248.0], [267.0, 263.0], [239.0, 263.0]], ('1.00', 0.9921399354934692)], [[[45.0, 261.0], [68.0, 261.0], [68.0, 277.0], [45.0, 277.0]], ('Tax', 0.9627040028572083)], [[[239.0, 263.0], [268.0, 263.0], [268.0, 278.0], [239.0, 278.0]], ('0.08', 0.996138334274292)], [[[30.0, 291.0], [115.0, 291.0], [115.0, 307.0], [30.0, 307.0]], ('Take-Out Total', 0.9330121278762817)], [[[242.0, 294.0], [270.0, 294.0], [270.0, 309.0], [242.0, 309.0]], ('1.08', 0.993635892868042)], [[[25.0, 326.0], [110.0, 326.0], [110.0, 343.0], [25.0, 343.0]], ('Cash Tendered', 0.9600722789764404)], [[[243.0, 327.0], [272.0, 327.0], [272.0, 343.0], [243.0, 343.0]], ('1.08', 0.9913415908813477)]]	{"store_name": "", "store_addr": "78504 TX MCALLEN 7320N10TH", "telephone": "#956972", "date": "May.24'17(Wed)", "time": "16:59", "subtotal": "1.00", "tax": "0.08", "total": "1.08", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Cheeseburger", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "QTYITEM", "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	[[[[358.0, 48.0], [510.0, 45.0], [511.0, 81.0], [359.0, 85.0]], ('TARGET', 0.9951592087745667)], [[[367.0, 83.0], [509.0, 82.0], [509.0, 100.0], [368.0, 101.0]], ('EXPECT MORE PAY LESS', 0.9307649731636047)], [[[298.0, 125.0], [517.0, 123.0], [517.0, 141.0], [298.0, 143.0]], ('BURLINGTON-360-757-6737', 0.9570187330245972)], [[[257.0, 142.0], [574.0, 140.0], [574.0, 157.0], [257.0, 159.0]], ('05/06/2016 09:53PM EXPIRES08/04/16', 0.9518965482711792)], [[[227.0, 227.0], [288.0, 225.0], [289.0, 243.0], [227.0, 245.0]], ('GROCERY', 0.9956512451171875)], [[[529.0, 220.0], [581.0, 217.0], [582.0, 235.0], [530.0, 238.0]], ('$2.99', 0.9947196245193481)], [[[354.0, 231.0], [500.0, 222.0], [501.0, 238.0], [355.0, 247.0]], ('AF ICE CREAMFN', 0.9420896172523499)], [[[224.0, 243.0], [300.0, 238.0], [301.0, 253.0], [225.0, 258.0]], ('288072311', 0.9973345994949341)], [[[424.0, 253.0], [496.0, 250.0], [497.0, 266.0], [425.0, 270.0]], ('SUBTOTAL', 0.9954822063446045)], [[[532.0, 248.0], [582.0, 248.0], [582.0, 264.0], [532.0, 264.0]], ('$2.99', 0.9941927790641785)], [[[439.0, 269.0], [498.0, 264.0], [499.0, 279.0], [440.0, 284.0]], ('NO TAX', 0.9256697297096252)], [[[533.0, 262.0], [582.0, 262.0], [582.0, 278.0], [533.0, 278.0]], ('$0.00', 0.993336021900177)], [[[449.0, 281.0], [497.0, 279.0], [498.0, 295.0], [450.0, 297.0]], ('TOTAL', 0.995749831199646)], [[[533.0, 278.0], [583.0, 278.0], [583.0, 294.0], [533.0, 294.0]], ('$2.99', 0.9933805465698242)], [[[343.0, 312.0], [498.0, 307.0], [499.0, 326.0], [343.0, 330.0]], ('*1005 AMEXCHARGE', 0.9370670318603516)], [[[534.0, 307.0], [583.0, 307.0], [583.0, 323.0], [534.0, 323.0]], ('$2.99', 0.9663534164428711)], [[[396.0, 325.0], [583.0, 320.0], [584.0, 337.0], [397.0, 343.0]], ('AID:A000000025010801', 0.9794923663139343)], [[[396.0, 342.0], [545.0, 337.0], [546.0, 352.0], [397.0, 356.0]], ('AMERICAN EXPRESS', 0.9736003279685974)], [[[214.0, 385.0], [614.0, 383.0], [614.0, 398.0], [214.0, 400.0]], ('REC#2-6127-0696-0075-0679-3VCD#750-250-855', 0.9760453104972839)], [[[254.0, 428.0], [549.0, 430.0], [549.0, 448.0], [254.0, 446.0]], ('Visit 1800recycle.wa.gov or cal1', 0.9079729914665222)], [[[254.0, 444.0], [549.0, 447.0], [549.0, 465.0], [253.0, 461.0]], ('1-800-RECYCLE to findelectronic', 0.9308047294616699)], [[[215.0, 461.0], [580.0, 464.0], [579.0, 481.0], [215.0, 479.0]], ('product recycling services in your area.', 0.9541471600532532)], [[[424.0, 560.0], [523.0, 560.0], [523.0, 579.0], [424.0, 579.0]], ('O en espanol', 0.9086074829101562)], [[[321.0, 596.0], [537.0, 596.0], [537.0, 624.0], [321.0, 624.0]], ("HOW'D WE DO?", 0.902553379535675)], [[[257.0, 654.0], [553.0, 650.0], [553.0, 681.0], [257.0, 686.0]], ("TELL US, WE'RE ALL EARS!", 0.9002537727355957)], [[[332.0, 738.0], [447.0, 736.0], [448.0, 754.0], [333.0, 755.0]], ('EVERY MONTH!!', 0.9236266016960144)], [[[377.0, 754.0], [415.0, 754.0], [415.0, 770.0], [377.0, 770.0]], ('PLUS', 0.9959089159965515)], [[[307.0, 804.0], [486.0, 801.0], [486.0, 820.0], [307.0, 823.0]], ('www.informtarget.com', 0.9839233160018921)], [[[288.0, 819.0], [502.0, 812.0], [503.0, 834.0], [289.0, 841.0]], ('User ID7387 2930 4992', 0.9337993860244751)], [[[315.0, 835.0], [475.0, 832.0], [475.0, 850.0], [316.0, 853.0]], ('Password:493207', 0.9644090533256531)], [[[307.0, 864.0], [483.0, 860.0], [484.0, 883.0], [307.0, 887.0]], ('CUENTENOS EN ESPANOL', 0.957159161567688)]]	{"store_name": "TARGET", "store_addr": "BURLINGTON-360-757-6737", "telephone": "", "date": "05/06/2016", "time": "09:53PM", "subtotal": "$2.99", "tax": "$0.00", "total": "$2.99 $2.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AFICECREAMFN", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "GROCERY", "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, 127.0], [257.0, 133.0], [256.0, 156.0], [103.0, 151.0]], ("STANEY'S FRUIT MARKE", 0.8988879323005676)], [[[75.0, 149.0], [269.0, 157.0], [268.0, 174.0], [74.0, 166.0]], ('1558 N.ELSTON AVE.CHICA', 0.9329403638839722)], [[[102.0, 166.0], [247.0, 170.0], [247.0, 185.0], [102.0, 181.0]], ('STORE#773-276-8050', 0.9674647450447083)], [[[247.0, 196.0], [306.0, 200.0], [305.0, 217.0], [246.0, 213.0]], ('JUICEBAR', 0.9742108583450317)], [[[147.0, 208.0], [220.0, 212.0], [219.0, 227.0], [146.0, 223.0]], ('01/22/18', 0.9905201196670532)], [[[43.0, 219.0], [198.0, 225.0], [197.0, 242.0], [42.0, 237.0]], ('1.761b$4.99/1b', 0.9466038346290588)], [[[230.0, 210.0], [308.0, 215.0], [307.0, 232.0], [229.0, 227.0]], ('1:40m002', 0.824551522731781)], [[[50.0, 237.0], [92.0, 237.0], [92.0, 252.0], [50.0, 252.0]], ('SALAD', 0.9979308843612671)], [[[48.0, 251.0], [144.0, 253.0], [144.0, 270.0], [47.0, 268.0]], ('GREEN.GINGER', 0.9827966690063477)], [[[233.0, 242.0], [273.0, 242.0], [273.0, 257.0], [233.0, 257.0]], ('$8.78', 0.9639501571655273)], [[[292.0, 242.0], [309.0, 242.0], [309.0, 259.0], [292.0, 259.0]], ('_F', 0.9751573801040649)], [[[233.0, 255.0], [273.0, 257.0], [272.0, 275.0], [232.0, 273.0]], ('$5.99', 0.9775128364562988)], [[[292.0, 257.0], [309.0, 257.0], [309.0, 274.0], [292.0, 274.0]], ('3F', 0.9601560831069946)], [[[107.0, 283.0], [171.0, 285.0], [171.0, 303.0], [107.0, 300.0]], ('SUBTOTAL', 0.9944713711738586)], [[[240.0, 288.0], [290.0, 288.0], [290.0, 305.0], [240.0, 305.0]], ('$14.77', 0.9901174902915955)], [[[129.0, 301.0], [173.0, 301.0], [173.0, 319.0], [129.0, 319.0]], ('2.25%', 0.9146739840507507)], [[[128.0, 314.0], [172.0, 317.0], [171.0, 334.0], [127.0, 332.0]], ('925%', 0.9638917446136475)], [[[249.0, 305.0], [291.0, 305.0], [291.0, 320.0], [249.0, 320.0]], ('$0.20', 0.9184802770614624)], [[[46.0, 328.0], [172.0, 334.0], [171.0, 347.0], [45.0, 346.0]], ('3%CHGO BEV TAX', 0.8665793538093567)], [[[249.0, 320.0], [293.0, 320.0], [293.0, 338.0], [249.0, 338.0]], ('$0.13', 0.9396671056747437)], [[[252.0, 337.0], [292.0, 337.0], [292.0, 347.0], [252.0, 347.0]], ('10', 0.5712442994117737)]]	{"store_name": "STANLEY'SFRUITMARKET", "store_addr": "", "telephone": "STORE#773-276-8050", "date": "01/22/18", "time": "1:40pm", "subtotal": "$14.77", "tax": "$0.20 $0.13", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SALAD", "item_value": "$8.78", "item_quantity": "1"}, {"item_key": "", "item_name": "GREEN.GINGER", "item_value": "$5.99", "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	[[[[374.0, 47.0], [468.0, 0.0], [487.0, 38.0], [392.0, 85.0]], ('13122', 0.993636965751648)], [[[284.0, 149.0], [585.0, 0.0], [609.0, 47.0], [308.0, 198.0]], ('COMMODITIES NATL', 0.9373607039451599)], [[[400.0, 157.0], [656.0, 23.0], [678.0, 67.0], [422.0, 202.0]], ('165 FIRST AVE', 0.934963583946228)], [[[388.0, 224.0], [740.0, 38.0], [766.0, 90.0], [414.0, 276.0]], ('NEW YORK.NY 10003', 0.8881831765174866)], [[[453.0, 254.0], [728.0, 115.0], [750.0, 161.0], [476.0, 301.0]], ('212)260-2600', 0.9521124958992004)], [[[1042.0, 382.0], [1154.0, 337.0], [1171.0, 381.0], [1059.0, 426.0]], ('DEBIT', 0.9969263076782227)], [[[441.0, 434.0], [876.0, 225.0], [900.0, 277.0], [465.0, 486.0]], ('JANUARY28.201204:47P', 0.9405176043510437)], [[[805.0, 433.0], [1137.0, 283.0], [1157.0, 329.0], [825.0, 479.0]], ('XXXXXXXXXXXX4119', 0.8028219938278198)], [[[580.0, 553.0], [600.0, 553.0], [600.0, 579.0], [580.0, 579.0]], ('H', 0.5342540740966797)], [[[679.0, 550.0], [750.0, 525.0], [763.0, 564.0], [692.0, 589.0]], ('NA', 0.7377947568893433)], [[[693.0, 592.0], [895.0, 503.0], [915.0, 552.0], [713.0, 641.0]], ('DEBIT SALE', 0.972437858581543)], [[[876.0, 624.0], [1218.0, 474.0], [1237.0, 520.0], [895.0, 670.0]], ('Approva1:418408', 0.9147669076919556)], [[[366.0, 639.0], [504.0, 586.0], [518.0, 623.0], [380.0, 676.0]], ('Account', 0.9981436729431152)], [[[722.0, 636.0], [841.0, 588.0], [858.0, 632.0], [739.0, 680.0]], ('028001', 0.9939556121826172)], [[[380.0, 685.0], [621.0, 583.0], [638.0, 626.0], [397.0, 727.0]], ('Expiration ', 0.9351015686988831)], [[[649.0, 678.0], [672.0, 678.0], [672.0, 708.0], [649.0, 708.0]], ('H', 0.8901787400245667)], [[[723.0, 688.0], [816.0, 659.0], [828.0, 698.0], [734.0, 727.0]], ('036', 0.990839958190918)], [[[401.0, 723.0], [587.0, 648.0], [607.0, 701.0], [421.0, 776.0]], ('Tran Type', 0.9285507202148438)], [[[670.0, 725.0], [692.0, 725.0], [692.0, 753.0], [670.0, 753.0]], ('H', 0.7470197677612305)], [[[766.0, 726.0], [922.0, 656.0], [940.0, 699.0], [784.0, 769.0]], ('00279337', 0.99687659740448)], [[[1055.0, 749.0], [1298.0, 653.0], [1318.0, 707.0], [1075.0, 802.0]], ('159.48', 0.9876379370689392)], [[[433.0, 762.0], [539.0, 730.0], [551.0, 774.0], [445.0, 805.0]], ('Batch', 0.9947113990783691)], [[[688.0, 768.0], [712.0, 768.0], [712.0, 796.0], [688.0, 796.0]], ('H', 0.8533264994621277)], [[[468.0, 791.0], [635.0, 754.0], [644.0, 799.0], [477.0, 836.0]], ('krrrreee', 0.5189387798309326)], [[[504.0, 822.0], [592.0, 826.0], [591.0, 852.0], [503.0, 848.0]], ('Irace', 0.7509302496910095)], [[[579.0, 938.0], [742.0, 889.0], [756.0, 938.0], [593.0, 987.0]], ('TOTAL', 0.997467041015625)], [[[722.0, 1058.0], [1274.0, 820.0], [1293.0, 867.0], [741.0, 1105.0]], ('I AGREE TO PAY ABOVE TOTAL AMOUNT', 0.93050616979599)], [[[1154.0, 1136.0], [1288.0, 1058.0], [1312.0, 1102.0], [1178.0, 1181.0]], ('COPY', 0.9730973243713379)], [[[1068.0, 1197.0], [1181.0, 1133.0], [1201.0, 1171.0], [1089.0, 1223.0]], ('MER', 0.9830519556999207)]]	{"store_name": "", "store_addr": "165FIRSTAVE NEWYORK,NY10003", "telephone": "(212)260-2600", "date": "JANUARY28,2012", "time": "04:47P", "subtotal": "", "tax": "", "total": "$159.48", "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	[[[[111.0, 43.0], [200.0, 43.0], [200.0, 68.0], [111.0, 68.0]], ('OPIUM', 0.9931812286376953)], [[[98.0, 91.0], [209.0, 91.0], [209.0, 104.0], [98.0, 104.0]], ('Paseo Nar1tino 34. Loca13', 0.823988676071167)], [[[98.0, 111.0], [205.0, 111.0], [205.0, 125.0], [98.0, 125.0]], ('piusKarSL-B-61135265', 0.8041058778762817)], [[[113.0, 122.0], [191.0, 122.0], [191.0, 135.0], [113.0, 135.0]], ('Te1.93 2259100', 0.9146991968154907)], [[[112.0, 133.0], [197.0, 133.0], [197.0, 146.0], [112.0, 146.0]], ('Factura Sizplif icada', 0.9227567315101624)], [[[75.0, 152.0], [127.0, 154.0], [126.0, 165.0], [75.0, 163.0]], ('136Doenico', 0.8479862213134766)], [[[71.0, 174.0], [110.0, 174.0], [110.0, 185.0], [71.0, 185.0]], ('Msa332/1', 0.8849245309829712)], [[[136.0, 172.0], [174.0, 172.0], [174.0, 186.0], [136.0, 186.0]], ('Fra 1956', 0.9289453625679016)], [[[208.0, 171.0], [240.0, 171.0], [240.0, 185.0], [208.0, 185.0]], ('C112', 0.6099374890327454)], [[[125.0, 184.0], [184.0, 184.0], [184.0, 195.0], [125.0, 195.0]], ('02Agt15 13:09', 0.9421828389167786)], [[[78.0, 204.0], [128.0, 204.0], [128.0, 215.0], [78.0, 215.0]], ('1 Coca Cula', 0.793343722820282)], [[[205.0, 202.0], [226.0, 202.0], [226.0, 214.0], [205.0, 214.0]], ('3.00', 0.8824474215507507)], [[[80.0, 214.0], [113.0, 214.0], [113.0, 225.0], [80.0, 225.0]], ('1Draft', 0.9765002131462097)], [[[205.0, 211.0], [226.0, 211.0], [226.0, 223.0], [205.0, 223.0]], ('5.00', 0.991262674331665)], [[[80.0, 224.0], [117.0, 224.0], [117.0, 235.0], [80.0, 235.0]], ('1 Nachos', 0.8760404586791992)], [[[204.0, 222.0], [226.0, 222.0], [226.0, 234.0], [204.0, 234.0]], ('12.00', 0.990432858467102)], [[[81.0, 234.0], [149.0, 234.0], [149.0, 244.0], [81.0, 244.0]], ('1Patatas Bravss', 0.8870112895965576)], [[[205.0, 232.0], [226.0, 232.0], [226.0, 243.0], [205.0, 243.0]], ('9.00', 0.9919849634170532)], [[[205.0, 242.0], [226.0, 242.0], [226.0, 253.0], [205.0, 253.0]], ('0.00', 0.9875988960266113)], [[[82.0, 254.0], [157.0, 254.0], [157.0, 264.0], [82.0, 264.0]], ('1 Ensa Tada Sogavan', 0.8990668058395386)], [[[203.0, 252.0], [227.0, 252.0], [227.0, 263.0], [203.0, 263.0]], ('25.00', 0.9886677861213684)], [[[81.0, 264.0], [153.0, 264.0], [153.0, 274.0], [81.0, 274.0]], ('1 Ensa lada Aguaca', 0.904393196105957)], [[[204.0, 262.0], [226.0, 262.0], [226.0, 274.0], [204.0, 274.0]], ('16.00', 0.9936126470565796)], [[[81.0, 274.0], [130.0, 274.0], [130.0, 285.0], [81.0, 285.0]], ('1 Arer icano', 0.7999699711799622)], [[[205.0, 272.0], [227.0, 272.0], [227.0, 283.0], [205.0, 283.0]], ('2.50', 0.9850397706031799)], [[[82.0, 283.0], [136.0, 283.0], [136.0, 294.0], [82.0, 294.0]], ('1 Pina Colada', 0.9077238440513611)], [[[204.0, 282.0], [227.0, 282.0], [227.0, 294.0], [204.0, 294.0]], ('14.00', 0.982536792755127)], [[[82.0, 293.0], [136.0, 293.0], [136.0, 304.0], [82.0, 304.0]], ('1V06s 37.5c', 0.8390794992446899)], [[[205.0, 292.0], [228.0, 292.0], [228.0, 304.0], [205.0, 304.0]], ('3.50', 0.9634689688682556)], [[[72.0, 313.0], [120.0, 310.0], [120.0, 323.0], [72.0, 326.0]], ('15:12Tota', 0.911239504814148)], [[[182.0, 310.0], [227.0, 313.0], [226.0, 327.0], [181.0, 324.0]], ('90.00', 0.997286319732666)], [[[88.0, 330.0], [198.0, 332.0], [198.0, 346.0], [88.0, 344.0]], ('IVA.Inclutdo/VAT Ircluded', 0.8319039940834045)], [[[89.0, 350.0], [207.0, 354.0], [206.0, 368.0], [88.0, 365.0]], ('Muchas gracias por su visita', 0.9235562086105347)]]	{"store_name": "OPIUM", "store_addr": "EpiumMarSL-0-61135255 PaseoMaritima34,Local3", "telephone": "932259100", "date": "02Agt'", "time": "1513:09", "subtotal": "", "tax": "", "total": "90.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Voss37.5cl", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PinaColada", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EnsaladaBogavatt", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PatatasBravas", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Draft", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CocaCola", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[87.0, 6.0], [176.0, 2.0], [177.0, 18.0], [87.0, 23.0]], ('angtonNC 28405', 0.8561248779296875)], [[[104.0, 18.0], [158.0, 18.0], [158.0, 28.0], [104.0, 28.0]], ('910-343-9881', 0.983321487903595)], [[[39.0, 30.0], [108.0, 37.0], [107.0, 49.0], [38.0, 43.0]], ('ServerKrystal', 0.950268030166626)], [[[40.0, 41.0], [74.0, 44.0], [72.0, 56.0], [39.0, 52.0]], ('Green/1', 0.9840885996818542)], [[[175.0, 33.0], [224.0, 31.0], [225.0, 45.0], [175.0, 47.0]], ('10/09/2015', 0.994820773601532)], [[[39.0, 51.0], [83.0, 55.0], [82.0, 66.0], [38.0, 62.0]], ('Gueste:0', 0.8511790633201599)], [[[187.0, 44.0], [223.0, 42.0], [224.0, 55.0], [188.0, 58.0]], ('H68:9', 0.5970886945724487)], [[[198.0, 56.0], [224.0, 56.0], [224.0, 67.0], [198.0, 67.0]], ('60092', 0.9976092576980591)], [[[36.0, 71.0], [86.0, 75.0], [85.0, 87.0], [35.0, 84.0]], ('Draft Beer', 0.9417201280593872)], [[[38.0, 82.0], [109.0, 87.0], [108.0, 100.0], [37.0, 94.0]], ('16n Pleasre', 0.8528857827186584)], [[[201.0, 77.0], [224.0, 77.0], [224.0, 89.0], [201.0, 89.0]], ('0.00', 0.9922666549682617)], [[[35.0, 92.0], [108.0, 96.0], [107.0, 110.0], [34.0, 105.0]], ('Bulld On\\nBurg', 0.8124491572380066)], [[[202.0, 86.0], [224.0, 88.0], [222.0, 101.0], [201.0, 98.0]], ('7.99', 0.9927937984466553)], [[[44.0, 103.0], [95.0, 107.0], [94.0, 120.0], [43.0, 117.0]], ('Pepper Jack', 0.9333682656288147)], [[[200.0, 107.0], [225.0, 107.0], [225.0, 122.0], [200.0, 122.0]], ('690', 0.809299647808075)], [[[202.0, 99.0], [224.0, 99.0], [224.0, 110.0], [202.0, 110.0]], ('8.99', 0.991524338722229)], [[[43.0, 114.0], [73.0, 118.0], [71.0, 129.0], [42.0, 126.0]], ('Bacon', 0.9882737398147583)], [[[34.0, 125.0], [63.0, 128.0], [61.0, 140.0], [33.0, 136.0]], ('Fries', 0.9427061080932617)], [[[200.0, 118.0], [225.0, 118.0], [225.0, 133.0], [200.0, 133.0]], ('1.59', 0.9857147932052612)], [[[202.0, 129.0], [224.0, 131.0], [223.0, 143.0], [201.0, 140.0]], ('1.99', 0.9063950777053833)], [[[37.0, 146.0], [74.0, 150.0], [72.0, 163.0], [36.0, 160.0]], ('3Itens', 0.9341678619384766)], [[[32.0, 169.0], [73.0, 171.0], [72.0, 185.0], [31.0, 182.0]], ('Subtotal', 0.9943692684173584)], [[[197.0, 171.0], [226.0, 173.0], [225.0, 188.0], [196.0, 185.0]], ('21.15', 0.907116711139679)], [[[33.0, 181.0], [50.0, 184.0], [47.0, 196.0], [31.0, 193.0]], ('Tax', 0.9874369502067566)], [[[202.0, 182.0], [226.0, 185.0], [225.0, 199.0], [201.0, 196.0]], ('148', 0.7293500900268555)], [[[31.0, 206.0], [57.0, 206.0], [57.0, 218.0], [31.0, 218.0]], ('Total', 0.9970722198486328)], [[[199.0, 207.0], [225.0, 207.0], [225.0, 219.0], [199.0, 219.0]], ('22.63', 0.9881283044815063)], [[[28.0, 230.0], [136.0, 228.0], [136.0, 242.0], [28.0, 243.0]], ('Ba lance Due', 0.9480075836181641)], [[[176.0, 226.0], [226.0, 229.0], [225.0, 243.0], [176.0, 241.0]], ('22.63', 0.995740532875061)]]	{"store_name": "", "store_addr": "wilmington,NC28405", "telephone": "910-343-9881", "date": "10/09/2015", "time": "6:39PM", "subtotal": "21.15", "tax": "1.48", "total": "22.63 22.63", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DraftBeer", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "16\\nPleasure", "item_value": "7.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BalldOwn\\nBurg", "item_value": "8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "pepperjack", "item_value": "0.59", "item_quantity": "1"}, {"item_key": "", "item_name": "Bacon", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "Fries", "item_value": "1.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[190.0, 15.0], [320.0, 13.0], [321.0, 30.0], [190.0, 31.0]], ('NO SERVICE CHARGE', 0.947982907295227)], [[[228.0, 29.0], [323.0, 32.0], [322.0, 48.0], [227.0, 45.0]], ('TRAMAY GARCENBUFFET', 0.7978789806365967)], [[[211.0, 64.0], [319.0, 65.0], [318.0, 78.0], [211.0, 77.0]], ('N147-575-065-004VAT', 0.8914341330528259)], [[[210.0, 74.0], [324.0, 75.0], [323.0, 89.0], [210.0, 88.0]], ('SERIAL NOCP-240000531', 0.9251448512077332)], [[[232.0, 92.0], [303.0, 97.0], [302.0, 110.0], [231.0, 106.0]], ('99850090NN', 0.7426974177360535)], [[[169.0, 118.0], [221.0, 118.0], [221.0, 128.0], [169.0, 128.0]], ('TABLE15', 0.8767457604408264)], [[[264.0, 116.0], [334.0, 119.0], [333.0, 133.0], [264.0, 129.0]], ('NO.CF GUEST', 0.843248724937439)], [[[166.0, 126.0], [271.0, 129.0], [271.0, 142.0], [166.0, 140.0]], ('00003061501NACK-IN', 0.8720095753669739)], [[[166.0, 140.0], [230.0, 140.0], [230.0, 151.0], [166.0, 151.0]], ('Cshr:CASHIER2', 0.9480834603309631)], [[[263.0, 139.0], [339.0, 142.0], [338.0, 156.0], [263.0, 152.0]], ('Server:strainee', 0.9529718160629272)], [[[192.0, 163.0], [260.0, 163.0], [260.0, 174.0], [192.0, 174.0]], ('Description(s)', 0.7932518124580383)], [[[337.0, 162.0], [369.0, 165.0], [368.0, 178.0], [336.0, 175.0]], ('Price', 0.8997963070869446)], [[[161.0, 184.0], [170.0, 184.0], [170.0, 196.0], [161.0, 196.0]], ('2', 0.9189768433570862)], [[[190.0, 183.0], [224.0, 183.0], [224.0, 197.0], [190.0, 197.0]], ('BUFFET', 0.9928429126739502)], [[[335.0, 184.0], [369.0, 187.0], [368.0, 201.0], [334.0, 199.0]], ('476.00', 0.9890770316123962)], [[[189.0, 196.0], [227.0, 196.0], [227.0, 210.0], [189.0, 210.0]], ('238.00', 0.9664402604103088)], [[[160.0, 209.0], [168.0, 209.0], [168.0, 219.0], [160.0, 219.0]], ('2', 0.9591625928878784)], [[[188.0, 208.0], [260.0, 208.0], [260.0, 221.0], [188.0, 221.0]], ('ICED TEA GLASS', 0.9367433190345764)], [[[340.0, 209.0], [370.0, 209.0], [370.0, 223.0], [340.0, 223.0]], ('66.00', 0.9558596611022949)], [[[187.0, 219.0], [221.0, 219.0], [221.0, 233.0], [187.0, 233.0]], ('33.00', 0.9677392840385437)], [[[194.0, 242.0], [223.0, 245.0], [221.0, 259.0], [193.0, 256.0]], ('TOTAL', 0.9795960187911987)], [[[235.0, 233.0], [286.0, 233.0], [286.0, 246.0], [235.0, 246.0]], ('4 1tens', 0.7789148688316345)], [[[336.0, 246.0], [372.0, 246.0], [372.0, 261.0], [336.0, 261.0]], ('542.00', 0.9750227928161621)], [[[184.0, 256.0], [232.0, 258.0], [231.0, 272.0], [184.0, 269.0]], ('Tendered:', 0.9900227785110474)], [[[182.0, 269.0], [208.0, 269.0], [208.0, 284.0], [182.0, 284.0]], ('CASH', 0.9948254823684692)], [[[332.0, 270.0], [373.0, 273.0], [372.0, 287.0], [331.0, 285.0]], ('1000.00', 0.983945906162262)], [[[180.0, 281.0], [221.0, 284.0], [219.0, 299.0], [179.0, 295.0]], ('Change:', 0.9512478113174438)], [[[337.0, 284.0], [374.0, 286.0], [373.0, 301.0], [336.0, 298.0]], ('458.00', 0.9880608916282654)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "542.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ICEDTEAGLASS", "item_value": "476.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BUFFET", "item_value": "66.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[134.0, 64.0], [283.0, 54.0], [285.0, 92.0], [137.0, 102.0]], ('1st 6as up', 0.8341999053955078)], [[[127.0, 154.0], [311.0, 144.0], [312.0, 158.0], [127.0, 168.0]], ('MRP TRAUEL PLAZA', 0.922764003276825)], [[[124.0, 166.0], [311.0, 155.0], [312.0, 172.0], [126.0, 183.0]], ('15838 PAUL NEGRA', 0.9386662244796753)], [[[112.0, 181.0], [324.0, 168.0], [326.0, 185.0], [113.0, 198.0]], ('FIREBAUGH-CA 93622', 0.9214181900024414)], [[[143.0, 193.0], [287.0, 185.0], [288.0, 201.0], [144.0, 209.0]], ('209-364-6437', 0.9871823787689209)], [[[174.0, 205.0], [258.0, 200.0], [259.0, 215.0], [175.0, 220.0]], ('HEP TRUL PLAZA', 0.8306114077568054)], [[[176.0, 219.0], [252.0, 215.0], [253.0, 231.0], [177.0, 235.0]], ('FIREBAUGCA', 0.9478193521499634)], [[[153.0, 235.0], [268.0, 229.0], [269.0, 244.0], [154.0, 250.0]], ('DEALER:4543880-693', 0.9546070098876953)], [[[110.0, 281.0], [265.0, 273.0], [266.0, 290.0], [111.0, 298.0]], ('DUPLICATE OUTDOOR RECEIPT', 0.9118679165840149)], [[[85.0, 312.0], [190.0, 308.0], [190.0, 324.0], [85.0, 328.0]], ('#XXXXXXXXXXXX0013', 0.722049355506897)], [[[83.0, 327.0], [165.0, 324.0], [166.0, 341.0], [83.0, 344.0]], ('IN6934588', 0.9004008769989014)], [[[84.0, 343.0], [163.0, 340.0], [164.0, 356.0], [84.0, 359.0]], ('AUTH#068310', 0.9783798456192017)], [[[89.0, 358.0], [188.0, 354.0], [188.0, 371.0], [90.0, 375.0]], ('03/26/03 14:40', 0.944669783115387)], [[[80.0, 374.0], [182.0, 370.0], [182.0, 387.0], [80.0, 391.0]], ('DEALER#4543880', 0.9705363512039185)], [[[99.0, 389.0], [192.0, 386.0], [192.0, 403.0], [100.0, 406.0]], ('MBP TRUL FLAZA', 0.8604332208633423)], [[[100.0, 405.0], [156.0, 405.0], [156.0, 422.0], [100.0, 422.0]], ('FIREBAUG', 0.9647364020347595)], [[[150.0, 403.0], [193.0, 403.0], [193.0, 421.0], [150.0, 421.0]], ('CA', 0.9886994361877441)], [[[68.0, 439.0], [182.0, 436.0], [182.0, 453.0], [69.0, 456.0]], ('FUMP#02SUPREM', 0.9573955535888672)], [[[71.0, 456.0], [118.0, 456.0], [118.0, 471.0], [71.0, 471.0]], ('CLUONNS', 0.5202578902244568)], [[[156.0, 453.0], [201.0, 453.0], [201.0, 471.0], [156.0, 471.0]], ('12.006', 0.9921496510505676)], [[[65.0, 473.0], [124.0, 473.0], [124.0, 487.0], [65.0, 487.0]], ('PRICE/GAL', 0.9378615617752075)], [[[147.0, 469.0], [199.0, 469.0], [199.0, 487.0], [147.0, 487.0]], ('$2.499', 0.9884819388389587)], [[[63.0, 488.0], [127.0, 488.0], [127.0, 505.0], [63.0, 505.0]], ('FUEL SALE', 0.9562759399414062)], [[[146.0, 488.0], [198.0, 488.0], [198.0, 504.0], [146.0, 504.0]], ('$30.00', 0.987795889377594)], [[[59.0, 522.0], [122.0, 522.0], [122.0, 540.0], [59.0, 540.0]], ('TOTAL D', 0.922678530216217)], [[[141.0, 521.0], [194.0, 521.0], [194.0, 539.0], [141.0, 539.0]], ('$30.00', 0.9892802834510803)], [[[70.0, 556.0], [302.0, 552.0], [303.0, 572.0], [71.0, 576.0]], ('THANKSCOME AGAIN', 0.9692978858947754)]]	{"store_name": "", "store_addr": "MRPTRAVELPLAZA 15838PAULNEGRA FIREBAUGH,CA.93622 MRPTRVLPLAZA FISERAUG,CA MBPTRVLPLAZA FIREBAUGCA", "telephone": "209-364-6437", "date": "03/26/03", "time": "14:40", "subtotal": "$30.00", "tax": "", "total": "$30.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FUMP#02SUPREM", "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	[[[[161.0, 13.0], [202.0, 4.0], [204.0, 16.0], [163.0, 24.0]], ('Co,Ltd)', 0.7850556969642639)], [[[47.0, 27.0], [129.0, 18.0], [130.0, 31.0], [48.0, 40.0]], ('SENSI(SCW K', 0.7652043700218201)], [[[46.0, 38.0], [86.0, 33.0], [87.0, 44.0], [47.0, 49.0]], ('Dine in', 0.9247134327888489)], [[[83.0, 39.0], [128.0, 33.0], [130.0, 47.0], [85.0, 53.0]], ('17454', 0.9771567583084106)], [[[40.0, 56.0], [60.0, 56.0], [60.0, 67.0], [40.0, 67.0]], ('D3', 0.940733790397644)], [[[43.0, 49.0], [88.0, 43.0], [89.0, 53.0], [44.0, 59.0]], ('Order g.', 0.7647143602371216)], [[[35.0, 67.0], [87.0, 60.0], [89.0, 73.0], [37.0, 80.0]], ('2Guests', 0.9819279909133911)], [[[32.0, 77.0], [103.0, 69.0], [104.0, 83.0], [34.0, 91.0]], ('Server Ying', 0.9524562954902649)], [[[26.0, 97.0], [188.0, 97.0], [188.0, 115.0], [26.0, 115.0]], ('RegisterCashier (receipt)', 0.9412639737129211)], [[[29.0, 90.0], [104.0, 82.0], [105.0, 96.0], [31.0, 104.0]], ('Cashier:yod', 0.9486449956893921)], [[[22.0, 112.0], [152.0, 114.0], [152.0, 128.0], [22.0, 127.0]], ('2017-04-06 19:36:11', 0.9405863881111145)], [[[33.0, 144.0], [165.0, 146.0], [165.0, 160.0], [33.0, 158.0]], ('1 Acqua panna 75cl', 0.9275004863739014)], [[[241.0, 148.0], [288.0, 152.0], [287.0, 169.0], [240.0, 165.0]], ('190.00', 0.9969460964202881)], [[[33.0, 163.0], [118.0, 163.0], [118.0, 177.0], [33.0, 177.0]], ('1 Beef Tartar', 0.9374809265136719)], [[[241.0, 166.0], [288.0, 170.0], [286.0, 187.0], [240.0, 183.0]], ('540.00', 0.9944910407066345)], [[[32.0, 182.0], [139.0, 182.0], [139.0, 196.0], [32.0, 196.0]], ('1 Risotto Porcini', 0.9372654557228088)], [[[239.0, 184.0], [289.0, 188.0], [288.0, 205.0], [238.0, 202.0]], ('450.00', 0.9947478175163269)], [[[27.0, 197.0], [95.0, 199.0], [95.0, 216.0], [27.0, 214.0]], ('1 Rib eye', 0.9183619618415833)], [[[233.0, 204.0], [289.0, 208.0], [288.0, 223.0], [232.0, 219.0]], ('1490.00', 0.9958516359329224)], [[[24.0, 216.0], [177.0, 221.0], [176.0, 238.0], [24.0, 233.0]], ('1 Roasted Lamb Rack', 0.9306743144989014)], [[[233.0, 221.0], [291.0, 224.0], [290.0, 241.0], [232.0, 238.0]], ('1290.00', 0.9954515099525452)], [[[23.0, 236.0], [164.0, 240.0], [164.0, 258.0], [23.0, 254.0]], ('1 Acqua panna 75cl.', 0.9690967202186584)], [[[242.0, 241.0], [293.0, 243.0], [292.0, 260.0], [241.0, 258.0]], ('190.00', 0.9956710338592529)], [[[23.0, 255.0], [125.0, 259.0], [124.0, 276.0], [22.0, 272.0]], ('1 Panna Cotta', 0.9511616826057434)], [[[241.0, 260.0], [293.0, 262.0], [292.0, 280.0], [240.0, 278.0]], ('340.00', 0.994272768497467)], [[[163.0, 293.0], [291.0, 301.0], [290.0, 318.0], [162.0, 310.0]], ('Subtotal:4490.00', 0.9648840427398682)], [[[72.0, 307.0], [226.0, 314.0], [225.0, 331.0], [72.0, 324.0]], ('Service Charge (10%', 0.9565837383270264)], [[[237.0, 315.0], [289.0, 319.0], [288.0, 334.0], [236.0, 330.0]], ('449.00', 0.9966604113578796)], [[[184.0, 343.0], [288.0, 352.0], [286.0, 369.0], [183.0, 360.0]], ('Total:5284.73', 0.9593378901481628)], [[[135.0, 384.0], [284.0, 400.0], [282.0, 416.0], [134.0, 400.0]], ('Amount Due:5284.73', 0.9493492841720581)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "2017-04-06", "time": "19:36:11", "subtotal": "4490.00", "tax": "345.73", "total": "AmountDue:5284.73 5284.73", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PannaCotta", "item_value": "190.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Acquapanna75cl.", "item_value": "540.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RoastedLambRack", "item_value": "450.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Ribeye", "item_value": "1490.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RisottoPorcini", "item_value": "1290.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefTartar", "item_value": "190.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Acquapanna75cl.", "item_value": "340.00", "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	[[[[287.0, 292.0], [464.0, 297.0], [462.0, 383.0], [285.0, 379.0]], ('RC', 0.6726375818252563)], [[[312.0, 396.0], [441.0, 396.0], [441.0, 485.0], [312.0, 485.0]], ('Joack', 0.7219890356063843)], [[[314.0, 507.0], [444.0, 507.0], [444.0, 533.0], [314.0, 533.0]], ('In the box', 0.8419920802116394)], [[[258.0, 568.0], [505.0, 568.0], [505.0, 615.0], [258.0, 615.0]], ('DRIVE THRU #172', 0.9360882639884949)], [[[56.0, 651.0], [314.0, 649.0], [314.0, 674.0], [56.0, 676.0]], ('Te1323461-7605', 0.9520382285118103)], [[[534.0, 642.0], [644.0, 638.0], [645.0, 667.0], [535.0, 671.0]], ('JIB#385', 0.9787266850471497)], [[[54.0, 682.0], [183.0, 680.0], [184.0, 706.0], [54.0, 708.0]], ('5/7/2014', 0.9973834753036499)], [[[494.0, 674.0], [631.0, 668.0], [632.0, 694.0], [495.0, 700.0]], ('2:29:49AM', 0.9252707362174988)], [[[465.0, 703.0], [514.0, 706.0], [512.0, 735.0], [463.0, 732.0]], ('Emp', 0.9980669021606445)], [[[568.0, 696.0], [671.0, 698.0], [670.0, 732.0], [567.0, 729.0]], ('Marton', 0.7522600293159485)], [[[575.0, 783.0], [634.0, 780.0], [636.0, 811.0], [576.0, 814.0]], ('4.79', 0.9945905804634094)], [[[104.0, 800.0], [344.0, 797.0], [344.0, 825.0], [104.0, 828.0]], ('1 Bl azin Chicken', 0.9236229658126831)], [[[136.0, 829.0], [301.0, 826.0], [302.0, 855.0], [136.0, 859.0]], ('Sub Amer Ch', 0.9453516006469727)], [[[576.0, 840.0], [643.0, 835.0], [646.0, 865.0], [579.0, 871.0]], ('4.79-', 0.9654843211174011)], [[[136.0, 859.0], [542.0, 848.0], [542.0, 880.0], [136.0, 891.0]], ('744 Free Blazin Chicken/prch', 0.9501907229423523)], [[[575.0, 870.0], [636.0, 865.0], [639.0, 893.0], [578.0, 899.0]], ('0.99', 0.9981030821800232)], [[[102.0, 892.0], [273.0, 883.0], [274.0, 911.0], [104.0, 920.0]], ('12Tacos', 0.9918176531791687)], [[[134.0, 921.0], [257.0, 914.0], [258.0, 940.0], [136.0, 947.0]], ('No Sauce', 0.9384344816207886)], [[[134.0, 949.0], [285.0, 941.0], [287.0, 969.0], [136.0, 977.0]], ('No Lettuce', 0.9605865478515625)]]	{"store_name": "Jack", "store_addr": "", "telephone": "(323)461-7605", "date": "5/7/2014", "time": "2:29:49AM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BlazinChicken", "item_value": "4.79", "item_quantity": "1"}, {"item_key": "", "item_name": "(2)Tacos", "item_value": "0.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[292.0, 84.0], [551.0, 91.0], [550.0, 127.0], [291.0, 121.0]], ('in the box', 0.8980449438095093)], [[[303.0, 135.0], [526.0, 145.0], [524.0, 189.0], [301.0, 179.0]], ('DRIVE THRU #119', 0.9407538771629333)], [[[132.0, 182.0], [349.0, 186.0], [348.0, 215.0], [132.0, 211.0]], ('Tel209)578-3151', 0.9434784650802612)], [[[544.0, 194.0], [643.0, 194.0], [643.0, 219.0], [544.0, 219.0]], ('JIB#487', 0.9933465123176575)], [[[134.0, 211.0], [261.0, 211.0], [261.0, 236.0], [134.0, 236.0]], ('10/31/2016', 0.9981086850166321)], [[[534.0, 217.0], [659.0, 219.0], [658.0, 244.0], [534.0, 242.0]], ('9:38:59PM', 0.896625280380249)], [[[486.0, 245.0], [527.0, 245.0], [527.0, 270.0], [486.0, 270.0]], ('Emp', 0.9961717128753662)], [[[559.0, 244.0], [661.0, 244.0], [661.0, 269.0], [559.0, 269.0]], ('BRITTANY', 0.9973887205123901)], [[[169.0, 274.0], [426.0, 278.0], [426.0, 303.0], [168.0, 299.0]], ('1 Lg Mstr Choice Cmb', 0.9111229777336121)], [[[587.0, 278.0], [644.0, 281.0], [642.0, 310.0], [586.0, 307.0]], ('5.38', 0.9948298931121826)], [[[190.0, 301.0], [353.0, 304.0], [352.0, 329.0], [189.0, 326.0]], ('Monster Taco', 0.971113383769989)], [[[190.0, 330.0], [352.0, 332.0], [351.0, 357.0], [190.0, 355.0]], ('Monster Taco', 0.9649055600166321)], [[[189.0, 359.0], [389.0, 363.0], [389.0, 391.0], [188.0, 387.0]], ('Large Curly Fry', 0.9427498579025269)], [[[587.0, 364.0], [646.0, 364.0], [646.0, 396.0], [587.0, 396.0]], ('0.30', 0.9920863509178162)], [[[190.0, 389.0], [377.0, 393.0], [377.0, 421.0], [189.0, 418.0]], ('Large Rootbeer', 0.9789003729820251)], [[[165.0, 421.0], [362.0, 423.0], [362.0, 449.0], [165.0, 447.0]], ('1 Sm BLT CB Cmb', 0.9164327383041382)], [[[584.0, 423.0], [641.0, 423.0], [641.0, 454.0], [584.0, 454.0]], ('5.99', 0.9959516525268555)], [[[191.0, 453.0], [339.0, 453.0], [339.0, 481.0], [191.0, 481.0]], ('Onion Rings', 0.9775422811508179)], [[[583.0, 453.0], [639.0, 453.0], [639.0, 484.0], [583.0, 484.0]], ('0.90', 0.9947348237037659)], [[[191.0, 485.0], [375.0, 481.0], [375.0, 508.0], [191.0, 512.0]], ('Lg Iced Coffee', 0.9584922194480896)], [[[165.0, 516.0], [409.0, 511.0], [409.0, 536.0], [165.0, 541.0]], ('1 Bacon Chdr Wedges', 0.936048686504364)], [[[580.0, 507.0], [635.0, 510.0], [634.0, 539.0], [578.0, 536.0]], ('2.99', 0.9979792833328247)], [[[579.0, 535.0], [632.0, 538.0], [631.0, 566.0], [577.0, 563.0]], ('1.99', 0.9954779148101807)], [[[164.0, 545.0], [386.0, 538.0], [387.0, 566.0], [165.0, 573.0]], ('1 Mini Churros 10', 0.9425365328788757)], [[[166.0, 574.0], [364.0, 568.0], [365.0, 597.0], [167.0, 602.0]], ('1 Chk Nuggets 5', 0.9232723116874695)], [[[577.0, 565.0], [627.0, 565.0], [627.0, 592.0], [577.0, 592.0]], ('1.39', 0.9955012798309326)], [[[189.0, 603.0], [373.0, 597.0], [374.0, 625.0], [190.0, 632.0]], ('Pls Buttermilk', 0.9532930254936218)], [[[571.0, 617.0], [621.0, 614.0], [623.0, 643.0], [574.0, 647.0]], ('1.89', 0.9952152967453003)], [[[166.0, 635.0], [397.0, 626.0], [398.0, 654.0], [167.0, 663.0]], ('1 Sma11 French Fry', 0.9387487769126892)], [[[152.0, 674.0], [634.0, 652.0], [635.0, 677.0], [153.0, 699.0]], ('***************************************', 0.98032146692276)], [[[190.0, 705.0], [610.0, 684.0], [612.0, 728.0], [192.0, 749.0]], ('BUY ONE GET ONE FREE JUMBO JACK OR', 0.9357163906097412)], [[[308.0, 751.0], [514.0, 741.0], [516.0, 788.0], [311.0, 798.0]], ('SUPREME CROISSANT', 0.9623072147369385)], [[[253.0, 807.0], [564.0, 793.0], [565.0, 821.0], [254.0, 835.0]], ('When you take our survey.', 0.9355147480964661)], [[[132.0, 845.0], [358.0, 835.0], [359.0, 860.0], [133.0, 870.0]], ('1Within.3 days..', 0.8869739174842834)], [[[168.0, 876.0], [485.0, 855.0], [486.0, 880.0], [170.0, 900.0]], ('visit www.JackListens.com', 0.9479069709777832)], [[[168.0, 907.0], [456.0, 884.0], [458.0, 909.0], [170.0, 932.0]], ('or ca11 1-858-876-0461', 0.9519047141075134)], [[[129.0, 933.0], [267.0, 933.0], [267.0, 961.0], [129.0, 961.0]], ('2)Enter', 0.921735942363739)], [[[163.0, 963.0], [569.0, 895.0], [578.0, 948.0], [172.0, 999.0]], ('14 digit code4941852005719', 0.8873177766799927)], [[[384.0, 957.0], [499.0, 951.0], [501.0, 996.0], [386.0, 999.0]], ('10/31/2016', 0.9536586999893188)]]	{"store_name": "", "store_addr": "", "telephone": "(209)578-3151", "date": "10/31/2016", "time": "9:38:59PM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LgMstrChoiceCmb", "item_value": "5.38", "item_quantity": "1"}, {"item_key": "", "item_name": "MonsterTaco", "item_value": "0.30", "item_quantity": "1"}, {"item_key": "", "item_name": "MonsterTaco", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LargeCurlyFry", "item_value": "0.90", "item_quantity": "1"}, {"item_key": "", "item_name": "LargeRootbeer", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SmBLTCBCmb", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "OnionRings", "item_value": "1.39", "item_quantity": "1"}, {"item_key": "", "item_name": "LgIcedCoffee", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "BaconChdrWedges", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MiniChurros10", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ChkNuggets5", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PlsButtermilk", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SmallFrenchFry", "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	[[[[213.0, 736.0], [753.0, 736.0], [753.0, 777.0], [213.0, 777.0]], ('DARTMOUTH BOOKSTORE. INC', 0.9389613270759583)], [[[250.0, 779.0], [696.0, 783.0], [696.0, 823.0], [250.0, 820.0]], ('33SOUTH MAIN STREET', 0.9375600218772888)], [[[278.0, 829.0], [682.0, 829.0], [682.0, 866.0], [278.0, 866.0]], ('HANOVERNH03755', 0.961631178855896)], [[[344.0, 875.0], [611.0, 875.0], [611.0, 916.0], [344.0, 916.0]], ('603-643-3616', 0.9884087443351746)], [[[75.0, 949.0], [161.0, 958.0], [155.0, 1013.0], [69.0, 1004.0]], ('OTY', 0.7311046719551086)], [[[295.0, 962.0], [457.0, 962.0], [457.0, 1003.0], [295.0, 1003.0]], ('PRODUCT', 0.9944487810134888)], [[[625.0, 956.0], [727.0, 956.0], [727.0, 1008.0], [625.0, 1008.0]], ('DEPT', 0.9965068697929382)], [[[804.0, 962.0], [920.0, 962.0], [920.0, 1006.0], [804.0, 1006.0]], ('PRICE', 0.9940974116325378)], [[[131.0, 1061.0], [153.0, 1061.0], [153.0, 1093.0], [131.0, 1093.0]], ('1', 0.946491539478302)], [[[213.0, 1055.0], [503.0, 1055.0], [503.0, 1095.0], [213.0, 1095.0]], ('WAR TO BE WON', 0.8782792687416077)], [[[582.0, 1055.0], [724.0, 1055.0], [724.0, 1095.0], [582.0, 1095.0]], ('213100', 0.9981880784034729)], [[[781.0, 1055.0], [903.0, 1055.0], [903.0, 1098.0], [781.0, 1098.0]], ('35.00', 0.9958770871162415)], [[[250.0, 1098.0], [551.0, 1098.0], [551.0, 1148.0], [250.0, 1148.0]], ('5%Y DISCOUNT', 0.9394183158874512)], [[[807.0, 1101.0], [918.0, 1101.0], [918.0, 1145.0], [807.0, 1145.0]], ('1.75-', 0.9726438522338867)], [[[210.0, 1148.0], [349.0, 1148.0], [349.0, 1191.0], [210.0, 1191.0]], ('WARDEN', 0.9977636933326721)], [[[582.0, 1148.0], [727.0, 1148.0], [727.0, 1194.0], [582.0, 1194.0]], ('022400', 0.9960102438926697)], [[[804.0, 1148.0], [903.0, 1148.0], [903.0, 1191.0], [804.0, 1191.0]], ('2.00', 0.9932622313499451)], [[[827.0, 1194.0], [918.0, 1194.0], [918.0, 1237.0], [827.0, 1237.0]], ('10-', 0.9839348793029785)], [[[128.0, 1243.0], [151.0, 1243.0], [151.0, 1272.0], [128.0, 1272.0]], ('1', 0.8741535544395447)], [[[210.0, 1240.0], [719.0, 1240.0], [719.0, 1281.0], [210.0, 1281.0]], ('INSPECTOR GENERAL022400', 0.9563421010971069)], [[[804.0, 1240.0], [903.0, 1240.0], [903.0, 1284.0], [804.0, 1284.0]], ('1.50', 0.9812300205230713)], [[[253.0, 1284.0], [545.0, 1284.0], [545.0, 1324.0], [253.0, 1324.0]], ('5%Y DISCOUNT', 0.9480499625205994)], [[[832.0, 1284.0], [920.0, 1284.0], [920.0, 1327.0], [832.0, 1327.0]], ('.07-', 0.9170522093772888)], [[[213.0, 1330.0], [545.0, 1330.0], [545.0, 1368.0], [213.0, 1368.0]], ('TIEPOLOS HOUNDS', 0.9609811305999756)], [[[545.0, 1330.0], [722.0, 1330.0], [722.0, 1371.0], [545.0, 1371.0]], ('210900', 0.9874086380004883)], [[[784.0, 1330.0], [901.0, 1330.0], [901.0, 1371.0], [784.0, 1371.0]], ('30.00', 0.9945061802864075)], [[[253.0, 1374.0], [545.0, 1374.0], [545.0, 1414.0], [253.0, 1414.0]], ('5%Y DISCOUNT', 0.9496285319328308)], [[[804.0, 1374.0], [918.0, 1374.0], [918.0, 1417.0], [804.0, 1417.0]], ('1.50-', 0.9663669466972351)], [[[256.0, 1463.0], [483.0, 1463.0], [483.0, 1504.0], [256.0, 1504.0]], ('TOTAL SALE', 0.9688223004341125)], [[[767.0, 1463.0], [903.0, 1463.0], [903.0, 1507.0], [767.0, 1507.0]], ('$68.50', 0.9879952073097229)], [[[298.0, 1507.0], [500.0, 1507.0], [500.0, 1547.0], [298.0, 1547.0]], ('*DISCOUNT', 0.9277734756469727)], [[[784.0, 1510.0], [909.0, 1510.0], [909.0, 1553.0], [784.0, 1553.0]], ('$3.42', 0.9797207713127136)], [[[77.0, 1556.0], [193.0, 1556.0], [193.0, 1597.0], [77.0, 1597.0]], ('53811', 0.9949337840080261)], [[[251.0, 1550.0], [441.0, 1557.0], [439.0, 1600.0], [250.0, 1593.0]], ('NET SALE', 0.963409423828125)], [[[764.0, 1556.0], [903.0, 1556.0], [903.0, 1600.0], [764.0, 1600.0]], ('$65.08', 0.9901458621025085)], [[[253.0, 1695.0], [543.0, 1695.0], [543.0, 1733.0], [253.0, 1733.0]], ('CHARGE AMOUNT', 0.9727024435997009)], [[[759.0, 1689.0], [903.0, 1689.0], [903.0, 1742.0], [759.0, 1742.0]], ('$65.08', 0.9805137515068054)], [[[83.0, 1860.0], [719.0, 1866.0], [718.0, 1924.0], [82.0, 1918.0]], ('CUSTOMERS SINATURE REQUIRED', 0.9431518316268921)], [[[170.0, 2153.0], [653.0, 2153.0], [653.0, 2191.0], [170.0, 2191.0]], ('SALINGERJD & COLLEEN', 0.9398101568222046)], [[[163.0, 2188.0], [441.0, 2194.0], [440.0, 2243.0], [162.0, 2237.0]], ('RR3BOX176', 0.9232852458953857)], [[[176.0, 2246.0], [341.0, 2246.0], [341.0, 2278.0], [176.0, 2278.0]], ('CORNISH', 0.9897801280021667)], [[[560.0, 2243.0], [830.0, 2243.0], [830.0, 2284.0], [560.0, 2284.0]], ('NH 037459709', 0.9440829157829285)], [[[170.0, 2289.0], [639.0, 2289.0], [639.0, 2330.0], [170.0, 2330.0]], ('ACCOUNT NUMBER79730', 0.9497228860855103)], [[[168.0, 2376.0], [923.0, 2379.0], [923.0, 2420.0], [168.0, 2417.0]], ('00001 02-000 PRF1/05/012:58PM', 0.945957601070404)], [[[82.0, 2472.0], [571.0, 2472.0], [571.0, 2510.0], [82.0, 2510.0]], ('SALINGER,JD & COLLEEN', 0.9251996874809265)], [[[85.0, 2518.0], [415.0, 2518.0], [415.0, 2559.0], [85.0, 2559.0]], ('BOOKCLUB MEMBER', 0.9384574294090271)], [[[517.0, 2518.0], [634.0, 2518.0], [634.0, 2559.0], [517.0, 2559.0]], ('79730', 0.9983563423156738)], [[[213.0, 2608.0], [830.0, 2608.0], [830.0, 2649.0], [213.0, 2649.0]], ('THANK YOU FOR YOUR PATRONAGE', 0.9483338594436646)]]	{"store_name": "DARTMOUTHBOOKSTORE,INC,", "store_addr": "33SOUTHMAINSTREET HANOVER,NH03755", "telephone": "603-643-3616", "date": "1/05/01", "time": "2:58PM", "subtotal": "$68:50", "tax": "", "total": "$65:08 $65:08", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WARTOBEWON", "item_value": "35:00", "item_quantity": "1"}, {"item_key": "", "item_name": "WARDEN", "item_value": "2:00", "item_quantity": "1"}, {"item_key": "", "item_name": "INSPECTORGENERAL", "item_value": "1:50", "item_quantity": "1"}, {"item_key": "", "item_name": "TIEPOLOSHOUNDS", "item_value": "30:00", "item_quantity": "1"}, {"item_key": "PRODUCT", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[153.0, 16.0], [410.0, 13.0], [410.0, 34.0], [154.0, 37.0]], ('TRXRESUMED0002 1190', 0.9564006328582764)], [[[153.0, 41.0], [571.0, 35.0], [571.0, 55.0], [154.0, 61.0]], ('SUSPENDED0N1/24/201311:04:35PM', 0.9406097531318665)], [[[225.0, 87.0], [571.0, 86.0], [571.0, 107.0], [226.0, 108.0]], ('xxx Stored Order xxx**', 0.7616652250289917)], [[[151.0, 137.0], [168.0, 137.0], [168.0, 160.0], [151.0, 160.0]], ('4', 0.9965873956680298)], [[[252.0, 136.0], [421.0, 134.0], [422.0, 155.0], [252.0, 158.0]], ('Adult - Dinner', 0.9262863397598267)], [[[584.0, 132.0], [661.0, 132.0], [661.0, 154.0], [584.0, 154.0]], ('147.96', 0.9944396018981934)], [[[251.0, 161.0], [385.0, 161.0], [385.0, 182.0], [251.0, 182.0]], ('KM-Dinner', 0.9597861766815186)], [[[595.0, 157.0], [660.0, 155.0], [660.0, 179.0], [595.0, 180.0]], ('47.86', 0.9945128560066223)], [[[252.0, 221.0], [350.0, 221.0], [350.0, 242.0], [252.0, 242.0]], ('SUBTOTAL', 0.9950714111328125)], [[[588.0, 217.0], [664.0, 217.0], [664.0, 239.0], [588.0, 239.0]], ('195.82', 0.9973352551460266)], [[[251.0, 244.0], [294.0, 244.0], [294.0, 268.0], [251.0, 268.0]], ('TAX', 0.9975190162658691)], [[[598.0, 241.0], [664.0, 241.0], [664.0, 264.0], [598.0, 264.0]], ('10.79', 0.9958510398864746)], [[[251.0, 269.0], [378.0, 267.0], [378.0, 291.0], [251.0, 294.0]], ('AMOUNT DUE', 0.9488071203231812)], [[[589.0, 266.0], [664.0, 266.0], [664.0, 288.0], [589.0, 288.0]], ('206.61', 0.9968249201774597)], [[[150.0, 317.0], [180.0, 317.0], [180.0, 345.0], [150.0, 345.0]], ('VF', 0.9959608316421509)], [[[252.0, 317.0], [413.0, 315.0], [413.0, 339.0], [252.0, 342.0]], ('VISA PURCHASE', 0.9626810550689697)], [[[588.0, 314.0], [666.0, 314.0], [666.0, 340.0], [588.0, 340.0]], ('206.61', 0.9949100017547607)], [[[686.0, 315.0], [703.0, 315.0], [703.0, 334.0], [686.0, 334.0]], ('P', 0.9550782442092896)], [[[157.0, 402.0], [625.0, 403.0], [625.0, 438.0], [157.0, 437.0]], ("I'M TReD oFPeoPle citeyoU", 0.6760156154632568)], [[[136.0, 449.0], [663.0, 440.0], [663.0, 477.0], [137.0, 487.0]], ('SHOViNGReLiGiONDOWN MyTHROAT', 0.8619880080223083)], [[[195.0, 572.0], [250.0, 572.0], [250.0, 602.0], [195.0, 602.0]], ('Tip:', 0.9906494617462158)], [[[500.0, 614.0], [638.0, 614.0], [638.0, 661.0], [500.0, 661.0]], ('19202', 0.6896376013755798)], [[[197.0, 646.0], [273.0, 646.0], [273.0, 672.0], [197.0, 672.0]], ('Total:', 0.9772792458534241)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "1/24/2013", "time": "11:04:35PM", "subtotal": "195.82", "tax": "10.79", "total": "206.61 206.61", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Adult-Dinner", "item_value": "147.96", "item_quantity": "1"}, {"item_key": "", "item_name": "KM-Dinner", "item_value": "47.86", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[84.0, 24.0], [658.0, 16.0], [658.0, 36.0], [84.0, 44.0]], ('***************************************', 0.9481455087661743)], [[[82.0, 60.0], [99.0, 60.0], [99.0, 85.0], [82.0, 85.0]], ('', 0.9291265606880188)], [[[244.0, 54.0], [499.0, 51.0], [499.0, 81.0], [244.0, 84.0]], ('Suggested Gratuity', 0.9815345406532288)], [[[646.0, 51.0], [664.0, 51.0], [664.0, 78.0], [646.0, 78.0]], ('', 0.5913934111595154)], [[[81.0, 92.0], [100.0, 92.0], [100.0, 122.0], [81.0, 122.0]], ('', 0.8056945204734802)], [[[647.0, 84.0], [666.0, 84.0], [666.0, 121.0], [647.0, 121.0]], ('', 0.8483782410621643)], [[[82.0, 129.0], [101.0, 129.0], [101.0, 159.0], [82.0, 159.0]], ('', 0.7722564339637756)], [[[287.0, 124.0], [336.0, 124.0], [336.0, 156.0], [287.0, 156.0]], ('18%', 0.9766698479652405)], [[[370.0, 123.0], [462.0, 120.0], [462.0, 152.0], [371.0, 155.0]], ('$10.65', 0.9934665560722351)], [[[287.0, 159.0], [336.0, 159.0], [336.0, 192.0], [287.0, 192.0]], ('20%', 0.9866983294487)], [[[370.0, 159.0], [464.0, 156.0], [464.0, 189.0], [371.0, 191.0]], ('$11.83', 0.9944193363189697)], [[[649.0, 155.0], [668.0, 155.0], [668.0, 187.0], [649.0, 187.0]], ('', 0.655653178691864)], [[[82.0, 165.0], [101.0, 165.0], [101.0, 194.0], [82.0, 194.0]], ('', 0.7138397097587585)], [[[650.0, 191.0], [668.0, 191.0], [668.0, 218.0], [650.0, 218.0]], ('', 0.754160463809967)], [[[83.0, 202.0], [100.0, 202.0], [100.0, 226.0], [83.0, 226.0]], ('', 0.9575703144073486)], [[[87.0, 240.0], [665.0, 229.0], [666.0, 249.0], [87.0, 260.0]], ('****************************************', 0.9479764699935913)], [[[231.0, 269.0], [532.0, 267.0], [532.0, 294.0], [231.0, 296.0]], ('We love our guests..', 0.9080780744552612)], [[[111.0, 306.0], [626.0, 298.0], [627.0, 328.0], [112.0, 337.0]], ('FYI: On averagefor every $1 spent', 0.9218395948410034)], [[[124.0, 344.0], [615.0, 336.0], [616.0, 364.0], [125.0, 372.0]], ('eating in the USA,about 95 cents', 0.9379554986953735)], [[[74.0, 382.0], [679.0, 368.0], [680.0, 401.0], [75.0, 415.0]], ('goes to food, the place & a GREAT staff', 0.9126689434051514)], [[[195.0, 457.0], [531.0, 452.0], [532.0, 480.0], [196.0, 485.0]], ('LA BODEGUITA de1 MEDIO', 0.9374538660049438)], [[[132.0, 496.0], [629.0, 492.0], [630.0, 523.0], [133.0, 527.0]], ('650.326.7762 www.1abodeguita.c0m', 0.927071213722229)], [[[192.0, 579.0], [585.0, 573.0], [586.0, 604.0], [193.0, 610.0]], ('La Bodeguita de1 Medio is', 0.9234556555747986)], [[[204.0, 621.0], [571.0, 615.0], [572.0, 649.0], [205.0, 654.0]], ('a registered trademark.', 0.9692481756210327)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "$10.65 $11.83", "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	[[[[41.0, 20.0], [208.0, 29.0], [207.0, 47.0], [40.0, 37.0]], ('K-U-N-D-E-N-BE-L-E-G', 0.8788149952888489)], [[[42.0, 62.0], [200.0, 71.0], [199.0, 85.0], [41.0, 76.0]], ('Basic Hotel Innsbruck', 0.9271491765975952)], [[[85.0, 79.0], [163.0, 83.0], [163.0, 97.0], [85.0, 93.0]], ('Innrain 16', 0.92657870054245)], [[[56.0, 90.0], [184.0, 98.0], [183.0, 112.0], [55.0, 104.0]], ('AT-6020 Innsbruck', 0.9076399803161621)], [[[69.0, 105.0], [177.0, 111.0], [176.0, 125.0], [68.0, 119.0]], ('0043512/588385', 0.9733994603157043)], [[[29.0, 130.0], [115.0, 136.0], [114.0, 150.0], [28.0, 144.0]], ('Terminai-10', 0.8840450048446655)], [[[28.0, 144.0], [121.0, 150.0], [120.0, 164.0], [27.0, 158.0]], ('TA-Nr009371', 0.9463523626327515)], [[[148.0, 135.0], [214.0, 139.0], [213.0, 154.0], [147.0, 150.0]], ('80983149', 0.9597808122634888)], [[[148.0, 151.0], [213.0, 153.0], [212.0, 167.0], [147.0, 165.0]], ('BNr0885', 0.8763243556022644)], [[[63.0, 173.0], [164.0, 180.0], [163.0, 194.0], [62.0, 188.0]], ('Kartenzanlung', 0.9674392938613892)], [[[76.0, 189.0], [157.0, 194.0], [157.0, 208.0], [75.0, 203.0]], ('MasterCard', 0.9949320554733276)], [[[18.0, 204.0], [199.0, 225.0], [198.0, 240.0], [16.0, 219.0]], ('Merchant Sales Currency', 0.952043890953064)], [[[30.0, 233.0], [175.0, 247.0], [174.0, 261.0], [28.0, 247.0]], ('EUR65.00', 0.8518185615539551)], [[[8.0, 262.0], [202.0, 274.0], [201.0, 289.0], [8.0, 276.0]], ('Wechselkurs / Exch.Rate', 0.9189362525939941)], [[[33.0, 279.0], [186.0, 290.0], [185.0, 304.0], [32.0, 293.0]], ('1SGD=0.5414EUR', 0.8952628374099731)], [[[2.0, 307.0], [211.0, 320.0], [210.0, 337.0], [1.0, 324.0]], ('Final Transaction Amount', 0.9668715000152588)], [[[13.0, 342.0], [191.0, 351.0], [190.0, 368.0], [13.0, 359.0]], ('SGD120.05', 0.9159376621246338)], [[[0.0, 376.0], [25.0, 379.0], [23.0, 395.0], [0.0, 392.0]], ('AN', 0.9953166842460632)], [[[67.0, 382.0], [209.0, 387.0], [208.0, 401.0], [66.0, 396.0]], ('4621', 0.975058913230896)], [[[64.0, 396.0], [210.0, 404.0], [209.0, 421.0], [63.0, 414.0]], ('gultig bis 05/12', 0.9495835900306702)], [[[18.0, 410.0], [183.0, 421.0], [182.0, 437.0], [17.0, 427.0]], ('Manuelle Eingabe)', 0.9280750155448914)], [[[0.0, 425.0], [40.0, 428.0], [39.0, 442.0], [0.0, 439.0]], ('U-Nr', 0.9442641139030457)], [[[74.0, 431.0], [163.0, 435.0], [163.0, 449.0], [73.0, 445.0]], ('4556972952', 0.9879150390625)]]	{"store_name": "BasicHotelInnsbruck -K-U-N-D-E-N-B-E-L-E-G-", "store_addr": "AT-6020Innsbruck Innrain16", "telephone": "0043512/588385", "date": "05/12", "time": "", "subtotal": "", "tax": "", "total": "120.05", "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	[[[[233.0, 142.0], [468.0, 140.0], [468.0, 195.0], [234.0, 198.0]], ('PAUL', 0.9932646751403809)], [[[284.0, 204.0], [436.0, 202.0], [436.0, 220.0], [284.0, 222.0]], ('MAISON DE QUALITE', 0.9466158747673035)], [[[303.0, 223.0], [419.0, 221.0], [419.0, 236.0], [303.0, 238.0]], ('FONDEE EN 1889', 0.9308285713195801)], [[[217.0, 286.0], [480.0, 280.0], [480.0, 303.0], [217.0, 308.0]], ('Dubai Airport Concourse B', 0.9611485004425049)], [[[259.0, 311.0], [451.0, 306.0], [452.0, 328.0], [260.0, 333.0]], ('Hudana Trading LLC', 0.973089873790741)], [[[271.0, 336.0], [432.0, 332.0], [432.0, 354.0], [272.0, 359.0]], ('TEL04-2203360', 0.994418740272522)], [[[154.0, 388.0], [265.0, 386.0], [265.0, 412.0], [154.0, 414.0]], ('19 Maria T', 0.9368306398391724)], [[[316.0, 437.0], [405.0, 433.0], [406.0, 458.0], [317.0, 462.0]], ('Chk 8946', 0.9400444030761719)], [[[516.0, 431.0], [572.0, 431.0], [572.0, 455.0], [516.0, 455.0]], ('Gst 1', 0.8997028470039368)], [[[140.0, 441.0], [222.0, 438.0], [223.0, 465.0], [141.0, 467.0]], ('Tb11/1', 0.9368461966514587)], [[[143.0, 469.0], [224.0, 469.0], [224.0, 493.0], [143.0, 493.0]], ('Station', 0.9970945119857788)], [[[404.0, 462.0], [572.0, 455.0], [573.0, 479.0], [405.0, 486.0]], ("Jan21'1405:33AM", 0.947743833065033)], [[[188.0, 520.0], [383.0, 514.0], [384.0, 539.0], [189.0, 545.0]], ('Take Away', 0.9633102416992188)], [[[493.0, 534.0], [548.0, 534.0], [548.0, 559.0], [493.0, 559.0]], ('18.00', 0.9951425790786743)], [[[167.0, 551.0], [332.0, 544.0], [333.0, 566.0], [168.0, 573.0]], ('1 Pie Mlx Choco', 0.8868223428726196)], [[[492.0, 560.0], [549.0, 557.0], [550.0, 585.0], [493.0, 588.0]], ('19.00', 0.995346188545227)], [[[169.0, 577.0], [322.0, 571.0], [323.0, 594.0], [170.0, 600.0]], ('1 T-Cafe Creme', 0.9423193335533142)], [[[179.0, 605.0], [323.0, 598.0], [324.0, 620.0], [180.0, 628.0]], ('EUR_DIA 10.00', 0.934402346611023)], [[[496.0, 615.0], [556.0, 612.0], [557.0, 635.0], [497.0, 638.0]], ('42.50', 0.9820970296859741)], [[[567.0, 613.0], [581.0, 613.0], [581.0, 631.0], [567.0, 631.0]], ('X', 0.7991389036178589)], [[[188.0, 631.0], [303.0, 625.0], [305.0, 650.0], [190.0, 656.0]], ('Cash-->AED', 0.9821907877922058)], [[[497.0, 667.0], [554.0, 663.0], [556.0, 688.0], [499.0, 692.0]], ('37.00', 0.9967142939567566)], [[[189.0, 685.0], [304.0, 678.0], [306.0, 703.0], [191.0, 711.0]], ('Sub Total', 0.9199851155281067)], [[[499.0, 695.0], [555.0, 691.0], [557.0, 715.0], [501.0, 719.0]], ('37.00', 0.9946020841598511)], [[[191.0, 714.0], [327.0, 705.0], [329.0, 730.0], [193.0, 740.0]], ('Total Amount', 0.9434759616851807)], [[[508.0, 720.0], [559.0, 715.0], [562.0, 744.0], [511.0, 748.0]], ('5.50', 0.9878032207489014)], [[[191.0, 743.0], [308.0, 734.0], [310.0, 760.0], [193.0, 769.0]], ('Change Due', 0.9641348123550415)], [[[259.0, 767.0], [457.0, 754.0], [459.0, 776.0], [261.0, 790.0]], ('--19 Check Closed-', 0.9115879535675049)], [[[283.0, 794.0], [466.0, 780.0], [467.0, 803.0], [285.0, 816.0]], ('Jan211405:36AM', 0.9697827696800232)], [[[310.0, 848.0], [413.0, 839.0], [415.0, 866.0], [313.0, 874.0]], ('THANK YOU', 0.9683310985565186)], [[[312.0, 906.0], [461.0, 895.0], [463.0, 921.0], [314.0, 932.0]], ('Visit PAUL at', 0.9564743638038635)], [[[257.0, 941.0], [475.0, 924.0], [477.0, 951.0], [259.0, 968.0]], ('Concourse AB&C', 0.9693816304206848)]]	{"store_name": "PAUL", "store_addr": "DubaiAirportConcourseB", "telephone": "04-220360", "date": "Jan21'14 Jan21'14", "time": "05:36AM", "subtotal": "37.00", "tax": "", "total": "37.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PieMlxChoco", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "T-CafeCreme", "item_value": "19.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EUR_DIA10.00", "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	[[[[349.0, 32.0], [639.0, 42.0], [637.0, 74.0], [347.0, 64.0]], ('TIRE140', 0.8492042422294617)], [[[58.0, 48.0], [325.0, 41.0], [326.0, 86.0], [60.0, 94.0]], ('CANADIAN', 0.9975811839103699)], [[[245.0, 105.0], [494.0, 115.0], [493.0, 148.0], [244.0, 138.0]], ('MILTON, ONTARIO', 0.9251306056976318)], [[[263.0, 145.0], [461.0, 154.0], [460.0, 186.0], [261.0, 177.0]], ('905-878-2349', 0.9929836392402649)], [[[51.0, 214.0], [681.0, 227.0], [680.0, 263.0], [50.0, 250.0]], ('REG#407/05/201213:56:00 TRANS #:109', 0.9150302410125732)], [[[51.0, 252.0], [488.0, 264.0], [488.0, 296.0], [50.0, 284.0]], ('OPERATOR #2349F10at001', 0.851432740688324)], [[[63.0, 328.0], [565.0, 337.0], [564.0, 364.0], [63.0, 355.0]], ('==PARTS 0RDER #10014000001854=', 0.9380172491073608)], [[[66.0, 361.0], [227.0, 364.0], [226.0, 392.0], [65.0, 389.0]], ('010-3473-2', 0.9853477478027344)], [[[288.0, 365.0], [554.0, 372.0], [553.0, 400.0], [287.0, 393.0]], ('CERTIFIED CER-3$', 0.9630707502365112)], [[[592.0, 371.0], [686.0, 371.0], [686.0, 400.0], [592.0, 400.0]], ('112.99', 0.9979026913642883)], [[[71.0, 397.0], [577.0, 404.0], [577.0, 432.0], [71.0, 425.0]], ('==END0F 0RDER#10014000001854=', 0.9389181733131409)], [[[292.0, 468.0], [410.0, 468.0], [410.0, 496.0], [292.0, 496.0]], ('SUBTOTAL', 0.9963994026184082)], [[[529.0, 471.0], [551.0, 471.0], [551.0, 497.0], [529.0, 497.0]], ('$', 0.9057782292366028)], [[[589.0, 471.0], [680.0, 471.0], [680.0, 499.0], [589.0, 499.0]], ('112.99', 0.9983782172203064)], [[[292.0, 501.0], [401.0, 501.0], [401.0, 529.0], [292.0, 529.0]], ('13%HST', 0.9709822535514832)], [[[528.0, 503.0], [550.0, 503.0], [550.0, 529.0], [528.0, 529.0]], ('$', 0.7759104371070862)], [[[601.0, 500.0], [678.0, 503.0], [677.0, 532.0], [600.0, 529.0]], ('14.69', 0.9969253540039062)], [[[293.0, 532.0], [386.0, 532.0], [386.0, 560.0], [293.0, 560.0]], ('5%HST', 0.9498192071914673)], [[[529.0, 533.0], [548.0, 533.0], [548.0, 561.0], [529.0, 561.0]], ('$', 0.923846423625946)], [[[614.0, 533.0], [676.0, 533.0], [676.0, 563.0], [614.0, 563.0]], ('0.00', 0.9971842169761658)], [[[296.0, 565.0], [427.0, 565.0], [427.0, 589.0], [296.0, 589.0]], ('TOTAL', 0.9950395822525024)], [[[528.0, 565.0], [545.0, 565.0], [545.0, 589.0], [528.0, 589.0]], ('$', 0.8750404715538025)], [[[586.0, 564.0], [675.0, 564.0], [675.0, 592.0], [586.0, 592.0]], ('127.68', 0.9943845868110657)], [[[296.0, 596.0], [431.0, 596.0], [431.0, 621.0], [296.0, 621.0]], ('CASH TEND', 0.9516176581382751)], [[[528.0, 595.0], [545.0, 595.0], [545.0, 619.0], [528.0, 619.0]], ('$', 0.6275075078010559)], [[[585.0, 595.0], [674.0, 595.0], [674.0, 623.0], [585.0, 623.0]], ('130.00', 0.9982349872589111)], [[[297.0, 625.0], [386.0, 625.0], [386.0, 649.0], [297.0, 649.0]], ('CHANGE', 0.9979409575462341)], [[[526.0, 627.0], [545.0, 627.0], [545.0, 649.0], [526.0, 649.0]], ('$', 0.8066641092300415)], [[[612.0, 625.0], [672.0, 625.0], [672.0, 651.0], [612.0, 651.0]], ('2.32', 0.9979912638664246)], [[[297.0, 655.0], [487.0, 655.0], [487.0, 681.0], [297.0, 681.0]], ('BASE CT MONEY', 0.9310553669929504)], [[[528.0, 656.0], [544.0, 656.0], [544.0, 677.0], [528.0, 677.0]], ('$', 0.5534511804580688)], [[[610.0, 653.0], [674.0, 653.0], [674.0, 683.0], [610.0, 683.0]], ('0.50', 0.9963105320930481)], [[[195.0, 713.0], [573.0, 715.0], [573.0, 741.0], [195.0, 740.0]], ('You could instantly win an', 0.9514541625976562)], [[[329.0, 745.0], [451.0, 745.0], [451.0, 768.0], [329.0, 768.0]], ('-iPod-', 0.9473040103912354)], [[[168.0, 772.0], [600.0, 776.0], [600.0, 803.0], [168.0, 799.0]], ('Plus enter for a chance to win', 0.9325374364852905)], [[[256.0, 804.0], [528.0, 805.0], [528.0, 829.0], [256.0, 828.0]], ('**$100OCASH', 0.7891861200332642)], [[[214.0, 832.0], [557.0, 837.0], [556.0, 864.0], [214.0, 859.0]], ('Tell us how we did today', 0.9430332779884338)], [[[187.0, 864.0], [640.0, 871.0], [639.0, 897.0], [187.0, 891.0]], ('completing our online survey at:', 0.9420108795166016)], [[[253.0, 896.0], [528.0, 902.0], [527.0, 928.0], [252.0, 922.0]], ('www.tellcdntire.com', 0.9681757688522339)], [[[204.0, 925.0], [657.0, 935.0], [657.0, 962.0], [203.0, 952.0]], ('via telephone:1-888-431-5595', 0.929722249507904)], [[[180.0, 957.0], [627.0, 967.0], [627.0, 994.0], [180.0, 984.0]], ('ZES avai lable to be WON DAILY!!', 0.8705205321311951)], [[[153.0, 989.0], [593.0, 1000.0], [593.0, 1027.0], [152.0, 1016.0]], ('See Website for complete rules', 0.9395968914031982)], [[[217.0, 1057.0], [528.0, 1061.0], [527.0, 1088.0], [217.0, 1084.0]], ('2709-0110-04500-13492', 0.994489848613739)]]	{"store_name": "CANADIANTIRE#140", "store_addr": "1210STEELESAVE.E. MILTON,ONTARIO", "telephone": "905-878-2349", "date": "07/05/2012", "time": "13:56:00", "subtotal": "112.99", "tax": "14.69 0.00", "total": "127.68", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CERTIFIEDCER-3$", "item_value": "112.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[113.0, 2.0], [204.0, 0.0], [205.0, 10.0], [113.0, 13.0]], ('WNOLESALE', 0.945530354976654)], [[[49.0, 30.0], [181.0, 28.0], [181.0, 40.0], [50.0, 43.0]], ('Auroru Vlllege', 0.8507459759712219)], [[[190.0, 27.0], [226.0, 27.0], [226.0, 38.0], [190.0, 38.0]], ('#106', 0.9869272112846375)], [[[87.0, 45.0], [187.0, 40.0], [188.0, 54.0], [87.0, 59.0]], ('1175 North 205th 9', 0.9168878197669983)], [[[91.0, 59.0], [188.0, 56.0], [188.0, 70.0], [91.0, 73.0]], ('SeattleWA 98133', 0.9051210880279541)], [[[35.0, 87.0], [157.0, 87.0], [157.0, 100.0], [35.0, 100.0]], ('XO Member 111840429664', 0.921295702457428)], [[[67.0, 103.0], [168.0, 103.0], [168.0, 116.0], [67.0, 116.0]], ('862760 PUCK LIGHTS', 0.9497405290603638)], [[[199.0, 99.0], [239.0, 99.0], [239.0, 113.0], [199.0, 113.0]], ('18.99A', 0.9764926433563232)], [[[44.0, 118.0], [168.0, 117.0], [168.0, 130.0], [45.0, 132.0]], ('0000158999CPN/862760', 0.9837541580200195)], [[[202.0, 115.0], [232.0, 115.0], [232.0, 129.0], [202.0, 129.0]], ('4.00-', 0.9665142893791199)], [[[79.0, 136.0], [125.0, 136.0], [125.0, 147.0], [79.0, 147.0]], ('SUBTOTAL', 0.996566653251648)], [[[199.0, 130.0], [230.0, 130.0], [230.0, 145.0], [199.0, 145.0]], ('14.99', 0.9912333488464355)], [[[79.0, 151.0], [100.0, 151.0], [100.0, 165.0], [79.0, 165.0]], ('TAX', 0.9957192540168762)], [[[203.0, 148.0], [230.0, 148.0], [230.0, 161.0], [203.0, 161.0]], ('1.80', 0.9976558089256287)], [[[50.0, 168.0], [107.0, 168.0], [107.0, 179.0], [50.0, 179.0]], ('TOTAL', 0.9509251713752747)], [[[198.0, 164.0], [236.0, 164.0], [236.0, 178.0], [198.0, 178.0]], ('1679', 0.7970812916755676)], [[[78.0, 184.0], [104.0, 184.0], [104.0, 196.0], [78.0, 196.0]], ('CASH', 0.9977202415466309)], [[[200.0, 180.0], [232.0, 180.0], [232.0, 194.0], [200.0, 194.0]], ('20.00', 0.995747447013855)], [[[77.0, 200.0], [115.0, 200.0], [115.0, 214.0], [77.0, 214.0]], ('CHANGE', 0.9978485107421875)], [[[206.0, 196.0], [231.0, 196.0], [231.0, 211.0], [206.0, 211.0]], ('3.21', 0.9942594170570374)], [[[35.0, 231.0], [96.0, 231.0], [96.0, 245.0], [35.0, 245.0]], ('A9.5%TAX', 0.9717061519622803)], [[[209.0, 228.0], [233.0, 228.0], [233.0, 240.0], [209.0, 240.0]], ('1.80', 0.996395468711853)], [[[35.0, 249.0], [91.0, 249.0], [91.0, 263.0], [35.0, 263.0]], ('TOTAL TAX', 0.9401972889900208)], [[[208.0, 245.0], [235.0, 245.0], [235.0, 260.0], [208.0, 260.0]], ('1.80', 0.995299220085144)], [[[29.0, 267.0], [195.0, 263.0], [195.0, 277.0], [29.0, 281.0]], ('TOTAL NUMBER OF ITEMS SOLD-', 0.9198038578033447)], [[[215.0, 266.0], [222.0, 266.0], [222.0, 275.0], [215.0, 275.0]], ('1', 0.8309122323989868)], [[[28.0, 285.0], [124.0, 283.0], [125.0, 297.0], [28.0, 299.0]], ('COUPONS TENDERED', 0.9799586534500122)], [[[186.0, 282.0], [224.0, 282.0], [224.0, 296.0], [186.0, 296.0]], ('$4.00', 0.9322384595870972)], [[[29.0, 304.0], [206.0, 299.0], [207.0, 313.0], [29.0, 317.0]], ('218:411065461806', 0.9673651456832886)], [[[28.0, 320.0], [173.0, 317.0], [173.0, 333.0], [28.0, 336.0]], ('OP#806 Name:TIMOTHY M', 0.8585043549537659)]]	{"store_name": "AuroraVilleae#106", "store_addr": "1175North205thSt Seattle,WA9B133", "telephone": "", "date": "01/31/2017", "time": "18:41", "subtotal": "14.99", "tax": "1.80 1.80 1.80", "total": "16.79", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "862760PUCKLIGHTS", "item_value": "18.99", "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	[[[[55.0, 1.0], [183.0, 4.0], [182.0, 29.0], [54.0, 26.0]], ('Walmart', 0.9947507977485657)], [[[57.0, 25.0], [184.0, 27.0], [183.0, 40.0], [57.0, 38.0]], ('Save money.Live better.', 0.9575486183166504)], [[[111.0, 47.0], [149.0, 47.0], [149.0, 58.0], [111.0, 58.0]], ('Walmart', 0.9261091351509094)], [[[82.0, 65.0], [113.0, 65.0], [113.0, 75.0], [82.0, 75.0]], ('513', 0.9942569732666016)], [[[115.0, 65.0], [158.0, 65.0], [158.0, 75.0], [115.0, 75.0]], ('753', 0.9814589619636536)], [[[158.0, 57.0], [191.0, 57.0], [191.0, 68.0], [158.0, 68.0]], ('WILSON', 0.9947436451911926)], [[[31.0, 72.0], [98.0, 72.0], [98.0, 83.0], [31.0, 83.0]], ('ST14430P', 0.9592751860618591)], [[[159.0, 63.0], [182.0, 66.0], [181.0, 77.0], [158.0, 74.0]], ('3200', 0.9986287951469421)], [[[30.0, 77.0], [97.0, 81.0], [96.0, 94.0], [29.0, 90.0]], ('RETRIEVED', 0.9776175022125244)], [[[101.0, 73.0], [150.0, 73.0], [150.0, 83.0], [101.0, 83.0]], ('00005352', 0.99248206615448)], [[[101.0, 80.0], [147.0, 83.0], [146.0, 94.0], [100.0, 91.0]], ('TRANSACT', 0.9867433309555054)], [[[144.0, 82.0], [226.0, 82.0], [226.0, 95.0], [144.0, 95.0]], ('ION 48504039181', 0.9609254002571106)], [[[146.0, 73.0], [235.0, 73.0], [235.0, 86.0], [146.0, 86.0]], ('TE14TR07777', 0.8660382628440857)], [[[30.0, 88.0], [66.0, 91.0], [65.0, 102.0], [29.0, 99.0]], ('CELERY', 0.996432363986969)], [[[51.0, 99.0], [69.0, 99.0], [69.0, 110.0], [51.0, 110.0]], ('WAS', 0.9374420046806335)], [[[82.0, 98.0], [97.0, 98.0], [97.0, 110.0], [82.0, 110.0]], ('44', 0.789318323135376)], [[[100.0, 90.0], [177.0, 90.0], [177.0, 103.0], [100.0, 103.0]], ('003338365322F', 0.9882014989852905)], [[[119.0, 100.0], [151.0, 100.0], [151.0, 110.0], [119.0, 110.0]], ('SAVED', 0.9941762685775757)], [[[200.0, 92.0], [226.0, 89.0], [227.0, 101.0], [201.0, 104.0]], ('0.74', 0.9760544300079346)], [[[28.0, 114.0], [52.0, 117.0], [51.0, 129.0], [27.0, 126.0]], ('BEAD', 0.9601879715919495)], [[[29.0, 107.0], [53.0, 107.0], [53.0, 117.0], [29.0, 117.0]], ('BABY', 0.9696083664894104)], [[[53.0, 106.0], [98.0, 106.0], [98.0, 120.0], [53.0, 120.0]], ('CARROTS', 0.9895645380020142)], [[[54.0, 115.0], [86.0, 115.0], [86.0, 129.0], [54.0, 129.0]], ('CHIIN', 0.7677222490310669)], [[[99.0, 107.0], [167.0, 107.0], [167.0, 120.0], [99.0, 120.0]], ('081239601402', 0.9946224093437195)], [[[99.0, 114.0], [165.0, 117.0], [165.0, 131.0], [98.0, 128.0]], ('008106900501', 0.9916542172431946)], [[[229.0, 111.0], [236.0, 111.0], [236.0, 120.0], [229.0, 120.0]], ('N', 0.9932897686958313)], [[[27.0, 134.0], [50.0, 134.0], [50.0, 145.0], [27.0, 145.0]], ('CUBE', 0.9944911003112793)], [[[28.0, 125.0], [51.0, 125.0], [51.0, 137.0], [28.0, 137.0]], ('CUBE', 0.9621862173080444)], [[[55.0, 125.0], [73.0, 125.0], [73.0, 137.0], [55.0, 137.0]], ('TAP', 0.9972178339958191)], [[[97.0, 132.0], [165.0, 135.0], [165.0, 148.0], [97.0, 146.0]], ('078175610061', 0.9907792210578918)], [[[100.0, 126.0], [164.0, 126.0], [164.0, 137.0], [100.0, 137.0]], ('078175610061', 0.962949812412262)], [[[26.0, 142.0], [50.0, 142.0], [50.0, 154.0], [26.0, 154.0]], ('CUBE', 0.9950447678565979)], [[[97.0, 142.0], [165.0, 144.0], [165.0, 158.0], [97.0, 156.0]], ('078175610062', 0.9969452023506165)], [[[25.0, 162.0], [90.0, 162.0], [90.0, 173.0], [25.0, 173.0]], ('CAULIFLOWER', 0.9941897988319397)], [[[27.0, 153.0], [94.0, 153.0], [94.0, 164.0], [27.0, 164.0]], ('TETRAFIN 185', 0.9603479504585266)], [[[97.0, 154.0], [165.0, 154.0], [165.0, 165.0], [97.0, 165.0]], ('004679877126', 0.9979224801063538)], [[[203.0, 174.0], [217.0, 174.0], [217.0, 187.0], [203.0, 187.0]], ('1.', 0.7565164566040039)], [[[21.0, 190.0], [79.0, 190.0], [79.0, 204.0], [21.0, 204.0]], ('VS HOTION', 0.8787426352500916)], [[[95.0, 188.0], [165.0, 192.0], [164.0, 207.0], [94.0, 203.0]], ('005080378811', 0.9587886929512024)], [[[195.0, 184.0], [231.0, 184.0], [231.0, 207.0], [195.0, 207.0]], ('19.00', 0.8908928632736206)], [[[62.0, 210.0], [116.0, 210.0], [116.0, 221.0], [62.0, 221.0]], ('RETRIEVED', 0.9956942796707153)], [[[113.0, 207.0], [201.0, 211.0], [201.0, 225.0], [112.0, 221.0]], ('ITEMS COMPLETE', 0.9231837391853333)], [[[71.0, 227.0], [105.0, 229.0], [104.0, 243.0], [70.0, 241.0]], ('TAX1', 0.9763706922531128)], [[[121.0, 220.0], [170.0, 222.0], [170.0, 233.0], [121.0, 231.0]], ('SUBTOTAL', 0.9933153390884399)], [[[117.0, 231.0], [160.0, 231.0], [160.0, 242.0], [117.0, 242.0]], ('6.500%', 0.9788709282875061)], [[[140.0, 238.0], [169.0, 240.0], [168.0, 252.0], [139.0, 250.0]], ('TOTAL', 0.996872067451477)], [[[65.0, 249.0], [146.0, 249.0], [146.0, 262.0], [65.0, 262.0]], ('SHOPPING CARD', 0.9783154129981995)], [[[141.0, 249.0], [172.0, 249.0], [172.0, 263.0], [141.0, 263.0]], ('TEND', 0.9780540466308594)], [[[111.0, 260.0], [140.0, 260.0], [140.0, 271.0], [111.0, 271.0]], ('AHEX', 0.9180358052253723)], [[[146.0, 261.0], [171.0, 261.0], [171.0, 272.0], [146.0, 272.0]], ('TEND', 0.9984457492828369)], [[[197.0, 258.0], [230.0, 260.0], [229.0, 275.0], [196.0, 272.0]], ('8886', 0.6715332269668579)], [[[18.0, 279.0], [98.0, 279.0], [98.0, 292.0], [18.0, 292.0]], ('ACCOUNT #2002', 0.9312098026275635)], [[[18.0, 290.0], [113.0, 290.0], [113.0, 303.0], [18.0, 303.0]], ('APPROVAL #577058', 0.9308980107307434)], [[[19.0, 302.0], [78.0, 302.0], [78.0, 313.0], [19.0, 313.0]], ('TRANS ID-', 0.9056256413459778)], [[[18.0, 313.0], [90.0, 313.0], [90.0, 324.0], [18.0, 324.0]], ('VALIDATION-', 0.9767730236053467)], [[[16.0, 323.0], [107.0, 323.0], [107.0, 335.0], [16.0, 335.0]], ('PAYMENT SERVICE', 0.9514008164405823)], [[[109.0, 333.0], [171.0, 333.0], [171.0, 346.0], [109.0, 346.0]], ('CHANGE DUE', 0.9597223997116089)], [[[202.0, 334.0], [230.0, 334.0], [230.0, 348.0], [202.0, 348.0]], ('0.00', 0.9967859983444214)], [[[14.0, 352.0], [135.0, 353.0], [135.0, 367.0], [14.0, 366.0]], ('SHOP.CARD REDEMPTION', 0.9659630060195923)], [[[14.0, 363.0], [135.0, 365.0], [135.0, 379.0], [14.0, 377.0]], ('ACCOUNT 605529578766', 0.9624432325363159)], [[[180.0, 355.0], [214.0, 355.0], [214.0, 370.0], [180.0, 370.0]], ('53.22', 0.9939016103744507)], [[[13.0, 373.0], [130.0, 376.0], [130.0, 390.0], [13.0, 387.0]], ('APPRCODE167512', 0.9633519053459167)], [[[12.0, 396.0], [68.0, 398.0], [67.0, 412.0], [12.0, 410.0]], ('Bes Ba', 0.8492901921272278)], [[[15.0, 387.0], [86.0, 387.0], [86.0, 398.0], [15.0, 398.0]], ('REF0377171', 0.9930712580680847)], [[[62.0, 400.0], [127.0, 398.0], [127.0, 409.0], [63.0, 411.0]], ('Tran Ant', 0.8465597033500671)], [[[89.0, 409.0], [124.0, 409.0], [124.0, 423.0], [89.0, 423.0]], ('53.22', 0.9887498021125793)], [[[131.0, 400.0], [174.0, 400.0], [174.0, 411.0], [131.0, 411.0]], ('End Bal', 0.9404931664466858)], [[[10.0, 417.0], [64.0, 417.0], [64.0, 434.0], [10.0, 434.0]], ('12/04/09', 0.9950834512710571)], [[[85.0, 420.0], [135.0, 420.0], [135.0, 434.0], [85.0, 434.0]], ('18:12:18', 0.947500467300415)], [[[148.0, 411.0], [176.0, 411.0], [176.0, 422.0], [148.0, 422.0]], ('0.00', 0.9967963695526123)]]	{"store_name": "Walmart Walmart", "store_addr": "", "telephone": "(513)753-3200", "date": "12/04/09", "time": "18:12:18", "subtotal": "96.49", "tax": "5.61", "total": "102.10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CELERY003338365322", "item_value": "0.74", "item_quantity": "1"}, {"item_key": "", "item_name": "BABYCARROTS081239601402", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BEADCHAIN008106900601", "item_value": "2.44", "item_quantity": "1"}, {"item_key": "", "item_name": "CUBETAP078175610061", "item_value": "0.94", "item_quantity": "1"}, {"item_key": "", "item_name": "CUBETAP078175610061", "item_value": "0.94", "item_quantity": "1"}, {"item_key": "", "item_name": "CUBETAP078175610062", "item_value": "0.94", "item_quantity": "1"}, {"item_key": "", "item_name": "TETRAFIN185004679877126", "item_value": "2.12", "item_quantity": "1"}, {"item_key": "", "item_name": "CAULIFLOWER003338369999", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "TOMGRAPE003338365585", "item_value": "1.96", "item_quantity": "1"}, {"item_key": "", "item_name": "VSHOTION005080378841", "item_value": "49.00", "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	[[[[78.0, 6.0], [171.0, 2.0], [171.0, 14.0], [78.0, 19.0]], ('IEL718-773-8448', 0.9229893088340759)], [[[52.0, 31.0], [199.0, 23.0], [199.0, 37.0], [53.0, 45.0]], ('Shop AtPIONNER SUPERMARKT', 0.9641805291175842)], [[[56.0, 43.0], [191.0, 38.0], [192.0, 51.0], [57.0, 56.0]], ('For Everyday $ Savings $', 0.9143192768096924)], [[[18.0, 67.0], [216.0, 58.0], [217.0, 75.0], [19.0, 83.0]], ('02/18/2011 6:47 p Store 001 Reg 003', 0.9214683771133423)], [[[19.0, 80.0], [173.0, 74.0], [173.0, 88.0], [20.0, 94.0]], ('Cashier 991/TYANNA Trx040260', 0.9571713209152222)], [[[30.0, 104.0], [85.0, 100.0], [86.0, 114.0], [31.0, 117.0]], ('LEFFE BEER', 0.9632333517074585)], [[[173.0, 97.0], [222.0, 93.0], [223.0, 108.0], [175.0, 112.0]], ('12.99T', 0.930232584476471)], [[[30.0, 114.0], [143.0, 110.0], [144.0, 124.0], [31.0, 128.0]], ('KELLOGGS SPECILA KCHO', 0.8918404579162598)], [[[179.0, 109.0], [214.0, 109.0], [214.0, 123.0], [179.0, 123.0]], ('2.99F', 0.9819371104240417)], [[[21.0, 140.0], [66.0, 137.0], [67.0, 152.0], [22.0, 155.0]], ('Subtotal', 0.9873158931732178)], [[[173.0, 134.0], [204.0, 131.0], [205.0, 146.0], [175.0, 149.0]], ('15.98', 0.9868220090866089)], [[[22.0, 154.0], [81.0, 149.0], [82.0, 163.0], [23.0, 167.0]], ('Tax8.875x', 0.93848717212677)], [[[181.0, 146.0], [205.0, 146.0], [205.0, 158.0], [181.0, 158.0]], ('1.15', 0.9958094358444214)], [[[23.0, 176.0], [53.0, 176.0], [53.0, 189.0], [23.0, 189.0]], ('Total', 0.977220356464386)], [[[177.0, 169.0], [206.0, 169.0], [206.0, 184.0], [177.0, 184.0]], ('17.13', 0.9930841326713562)], [[[24.0, 188.0], [49.0, 188.0], [49.0, 202.0], [24.0, 202.0]], ('CASH', 0.997482180595398)], [[[175.0, 183.0], [206.0, 180.0], [207.0, 194.0], [177.0, 197.0]], ('20.13', 0.9935728311538696)], [[[24.0, 200.0], [88.0, 198.0], [88.0, 212.0], [25.0, 214.0]], ('Change', 0.9979115128517151)], [[[83.0, 199.0], [125.0, 199.0], [125.0, 210.0], [83.0, 210.0]], ('Due', 0.9851544499397278)], [[[162.0, 196.0], [205.0, 192.0], [206.0, 206.0], [163.0, 209.0]], ('3.00', 0.9990882277488708)], [[[26.0, 235.0], [158.0, 229.0], [158.0, 246.0], [27.0, 249.0]], ('Item Count:2', 0.9274969100952148)]]	{"store_name": "", "store_addr": "", "telephone": "TEL:718-773-8448", "date": "02/18/2011", "time": "6:47pm", "subtotal": "15.98", "tax": "1.15", "total": "17.13", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LEFFEBEER", "item_value": "12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KELLDGGSSPECILAKCHO", "item_value": "2.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[53.0, 112.0], [208.0, 110.0], [208.0, 125.0], [53.0, 126.0]], ('COLMBUS RESTAURANT', 0.9537492394447327)], [[[91.0, 124.0], [181.0, 124.0], [181.0, 137.0], [91.0, 137.0]], ('36 Ocean_Dr.', 0.8571180701255798)], [[[94.0, 135.0], [217.0, 131.0], [217.0, 146.0], [94.0, 149.0]], ('BeachFL33139', 0.9903227686882019)], [[[70.0, 172.0], [192.0, 174.0], [192.0, 188.0], [70.0, 186.0]], ('CHECK#212739-1', 0.9853959679603577)], [[[99.0, 165.0], [167.0, 165.0], [167.0, 176.0], [99.0, 176.0]], ('FRIJUNE12.2015', 0.8397228121757507)], [[[113.0, 185.0], [152.0, 185.0], [152.0, 196.0], [113.0, 196.0]], ('TABLE#90', 0.9182380437850952)], [[[67.0, 204.0], [97.0, 204.0], [97.0, 214.0], [67.0, 214.0]], ('1.COKE', 0.8356943726539612)], [[[68.0, 214.0], [109.0, 214.0], [109.0, 225.0], [68.0, 225.0]], ('1ICE TEA', 0.9353851079940796)], [[[174.0, 205.0], [197.0, 207.0], [196.0, 219.0], [172.0, 217.0]], ('$4.50', 0.8643687963485718)], [[[67.0, 224.0], [116.0, 224.0], [116.0, 235.0], [67.0, 235.0]], ('1Paellax2', 0.7611538171768188)], [[[168.0, 224.0], [198.0, 227.0], [197.0, 239.0], [167.0, 236.0]], ('$150.00', 0.9857064485549927)], [[[174.0, 216.0], [197.0, 216.0], [197.0, 228.0], [174.0, 228.0]], ('$4.50', 0.8285368084907532)], [[[68.0, 234.0], [124.0, 234.0], [124.0, 244.0], [68.0, 244.0]], ('1 PINA COLADA', 0.8992993235588074)], [[[89.0, 243.0], [136.0, 243.0], [136.0, 254.0], [89.0, 254.0]], ('1Bu1ldog', 0.8229708075523376)], [[[171.0, 234.0], [198.0, 236.0], [197.0, 248.0], [170.0, 246.0]], ('$35.00', 0.9718289971351624)], [[[68.0, 253.0], [121.0, 253.0], [121.0, 263.0], [68.0, 263.0]], ('1.MANGODAIQ', 0.8937027454376221)], [[[171.0, 253.0], [198.0, 255.0], [197.0, 267.0], [170.0, 265.0]], ('$35.00', 0.9883661270141602)], [[[76.0, 272.0], [119.0, 272.0], [119.0, 283.0], [76.0, 283.0]], ('Iten Count', 0.9323174357414246)], [[[97.0, 263.0], [135.0, 263.0], [135.0, 273.0], [97.0, 273.0]], ('1Su1ldog', 0.7651698589324951)], [[[76.0, 282.0], [116.0, 282.0], [116.0, 293.0], [76.0, 293.0]], ('SUB-TOTAL', 0.9374943971633911)], [[[167.0, 282.0], [198.0, 285.0], [197.0, 296.0], [166.0, 293.0]], ('$229.00', 0.9150323867797852)], [[[190.0, 278.0], [197.0, 278.0], [197.0, 285.0], [190.0, 285.0]], ('5', 0.8466410636901855)], [[[76.0, 292.0], [110.0, 292.0], [110.0, 303.0], [76.0, 303.0]], ('SERVICE', 0.9972440004348755)], [[[171.0, 291.0], [198.0, 295.0], [197.0, 307.0], [169.0, 303.0]], ('$45.80', 0.9588595032691956)], [[[76.0, 301.0], [116.0, 301.0], [116.0, 312.0], [76.0, 312.0]], ('Sales Tax', 0.8620100021362305)], [[[136.0, 307.0], [193.0, 312.0], [192.0, 325.0], [135.0, 320.0]], ('$295.41', 0.9923005104064941)], [[[171.0, 301.0], [197.0, 304.0], [196.0, 316.0], [170.0, 313.0]], ('$20.61', 0.9105399250984192)], [[[66.0, 311.0], [107.0, 311.0], [107.0, 322.0], [66.0, 322.0]], ('TOTAL', 0.9971040487289429)], [[[76.0, 327.0], [185.0, 328.0], [185.0, 343.0], [76.0, 341.0]], ('THANK YOJPLEASE COE AGAIN', 0.8065641522407532)], [[[76.0, 350.0], [124.0, 346.0], [125.0, 357.0], [76.0, 361.0]], ('T113:33', 0.7991120219230652)], [[[139.0, 344.0], [186.0, 348.0], [185.0, 362.0], [138.0, 358.0]], ('2USTO', 0.7550779581069946)], [[[110.0, 366.0], [178.0, 367.0], [178.0, 378.0], [109.0, 377.0]], ('E 10 SOUTH BEACH', 0.8898417949676514)], [[[122.0, 385.0], [175.0, 385.0], [175.0, 396.0], [122.0, 396.0]], ('E BEEN SERVED', 0.9169744253158569)], [[[118.0, 396.0], [164.0, 392.0], [165.0, 405.0], [119.0, 409.0]], ('CELESTER', 0.9655174612998962)]]	{"store_name": "", "store_addr": "Beach,FL33139", "telephone": "", "date": "JUNE12,2016", "time": "13:33", "subtotal": "$229.00", "tax": "$20.61", "total": "$295.41", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "COKE", "item_value": "$4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ICETEA", "item_value": "$4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "MANGODAIQ", "item_value": "$150.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$35.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[56.0, 33.0], [139.0, 33.0], [139.0, 51.0], [56.0, 51.0]], ('GIANT', 0.9973009824752808)], [[[56.0, 47.0], [140.0, 47.0], [140.0, 68.0], [56.0, 68.0]], ('EAGLE', 0.9975837469100952)], [[[12.0, 100.0], [99.0, 102.0], [99.0, 113.0], [12.0, 111.0]], ('6493 Strip Ave.', 0.8176873326301575)], [[[62.0, 92.0], [121.0, 92.0], [121.0, 103.0], [62.0, 103.0]], ('#4060 STRIP', 0.8974586129188538)], [[[123.0, 99.0], [180.0, 95.0], [181.0, 106.0], [124.0, 110.0]], ('330-497-7902', 0.9857584834098816)], [[[25.0, 138.0], [37.0, 135.0], [39.0, 145.0], [27.0, 148.0]], ('Rp', 0.7682276964187622)], [[[48.0, 137.0], [124.0, 135.0], [125.0, 146.0], [49.0, 148.0]], ('REACH FLOSS WAX', 0.7963176965713501)], [[[154.0, 133.0], [188.0, 129.0], [189.0, 142.0], [155.0, 146.0]], ('1.00T', 0.8865143060684204)], [[[26.0, 146.0], [40.0, 146.0], [40.0, 158.0], [26.0, 158.0]], ('RP', 0.9795127511024475)], [[[47.0, 146.0], [125.0, 143.0], [126.0, 157.0], [48.0, 160.0]], ('RERCH FLOSS WAXD', 0.8074381351470947)], [[[155.0, 141.0], [190.0, 141.0], [190.0, 155.0], [155.0, 155.0]], ('1.00T', 0.9191520810127258)], [[[26.0, 155.0], [40.0, 155.0], [40.0, 167.0], [26.0, 167.0]], ('RP', 0.995124340057373)], [[[49.0, 155.0], [122.0, 155.0], [122.0, 166.0], [49.0, 166.0]], ('BRKSTN SOUR CRM', 0.8843691349029541)], [[[156.0, 151.0], [189.0, 149.0], [190.0, 161.0], [157.0, 163.0]], ('0.99F', 0.8699617385864258)], [[[28.0, 165.0], [39.0, 165.0], [39.0, 175.0], [28.0, 175.0]], ('RP', 0.9729313254356384)], [[[130.0, 170.0], [144.0, 174.0], [142.0, 184.0], [128.0, 180.0]], ('AC', 0.6181041598320007)], [[[156.0, 169.0], [191.0, 169.0], [191.0, 183.0], [156.0, 183.0]], ('1.79', 0.8550995588302612)], [[[157.0, 161.0], [190.0, 161.0], [190.0, 172.0], [157.0, 172.0]], ('0.99F', 0.9687473177909851)], [[[11.0, 183.0], [26.0, 183.0], [26.0, 196.0], [11.0, 196.0]], ('SC', 0.7874447107315063)], [[[48.0, 174.0], [113.0, 172.0], [114.0, 186.0], [49.0, 188.0]], ('DIAL LHS PUMP', 0.8678900599479675)], [[[48.0, 182.0], [137.0, 181.0], [137.0, 195.0], [49.0, 196.0]], ('DIAL LHS PU1.00', 0.9224557876586914)], [[[156.0, 180.0], [190.0, 178.0], [191.0, 191.0], [157.0, 193.0]], ('0.79-T', 0.9738345146179199)], [[[50.0, 193.0], [112.0, 193.0], [112.0, 204.0], [50.0, 204.0]], ('DIAL LHS PUMP', 0.8950101137161255)], [[[132.0, 192.0], [142.0, 192.0], [142.0, 201.0], [132.0, 201.0]], ('AC', 0.9745369553565979)], [[[159.0, 190.0], [191.0, 190.0], [191.0, 201.0], [159.0, 201.0]], ('1.79', 0.9654675126075745)], [[[11.0, 201.0], [26.0, 201.0], [26.0, 214.0], [11.0, 214.0]], ('SC', 0.6860949993133545)], [[[48.0, 201.0], [137.0, 200.0], [137.0, 214.0], [49.0, 215.0]], ('DIAL LHS PU 1.00', 0.9015085697174072)], [[[158.0, 200.0], [190.0, 198.0], [191.0, 210.0], [159.0, 212.0]], ('0.79-7', 0.9341745972633362)], [[[49.0, 212.0], [122.0, 211.0], [123.0, 222.0], [50.0, 223.0]], ('NAT BAKED FRIES', 0.9228615164756775)], [[[158.0, 208.0], [192.0, 208.0], [192.0, 222.0], [158.0, 222.0]], ('1.49F', 0.9500259160995483)], [[[11.0, 222.0], [25.0, 222.0], [25.0, 234.0], [11.0, 234.0]], ('MC', 0.694824755191803)], [[[50.0, 221.0], [123.0, 221.0], [123.0, 232.0], [50.0, 232.0]], ('NAT BAKED FRIES', 0.9331859946250916)], [[[159.0, 219.0], [191.0, 219.0], [191.0, 230.0], [159.0, 230.0]], ('0.75-F', 0.948234498500824)], [[[11.0, 231.0], [25.0, 231.0], [25.0, 244.0], [11.0, 244.0]], ('SC', 0.895164430141449)], [[[49.0, 231.0], [131.0, 230.0], [132.0, 241.0], [50.0, 242.0]], ('MULTIPLIED COUPON', 0.9409022331237793)], [[[159.0, 229.0], [190.0, 227.0], [191.0, 238.0], [160.0, 240.0]], ('0.74-F', 0.9498761296272278)], [[[11.0, 241.0], [25.0, 241.0], [25.0, 254.0], [11.0, 254.0]], ('MC', 0.8268975615501404)], [[[49.0, 240.0], [113.0, 239.0], [113.0, 250.0], [50.0, 251.0]], ('DIAL LHS PUMP', 0.85293048620224)], [[[160.0, 239.0], [188.0, 239.0], [188.0, 250.0], [160.0, 250.0]], ('0.50-', 0.9782047271728516)], [[[13.0, 251.0], [24.0, 251.0], [24.0, 261.0], [13.0, 261.0]], ('SC', 0.9287354946136475)], [[[49.0, 250.0], [131.0, 248.0], [132.0, 259.0], [50.0, 261.0]], ('MULTIPLIED COUPON', 0.9250317215919495)], [[[160.0, 247.0], [192.0, 247.0], [192.0, 258.0], [160.0, 258.0]], ('0.50-T', 0.9422058463096619)], [[[49.0, 259.0], [117.0, 258.0], [117.0, 269.0], [50.0, 270.0]], ('DIAL LHS PUMP', 0.8979259133338928)], [[[161.0, 256.0], [187.0, 256.0], [187.0, 268.0], [161.0, 268.0]], ('0.50-', 0.9674099683761597)], [[[11.0, 269.0], [25.0, 269.0], [25.0, 282.0], [11.0, 282.0]], ('SC', 0.9279600977897644)], [[[49.0, 268.0], [131.0, 266.0], [132.0, 277.0], [50.0, 279.0]], ('MULTIPLIED COUPON', 0.9373342990875244)], [[[160.0, 266.0], [193.0, 266.0], [193.0, 277.0], [160.0, 277.0]], ('1-090', 0.9210695028305054)], [[[11.0, 279.0], [25.0, 279.0], [25.0, 292.0], [11.0, 292.0]], ('MC', 0.9802501201629639)], [[[49.0, 277.0], [128.0, 275.0], [129.0, 288.0], [50.0, 290.0]], ('REACH FLOSS WAXD', 0.8967800140380859)], [[[160.0, 274.0], [190.0, 274.0], [190.0, 288.0], [160.0, 288.0]], ('1.00-', 0.9733309745788574)], [[[11.0, 289.0], [25.0, 289.0], [25.0, 302.0], [11.0, 302.0]], ('MC', 0.7869291305541992)], [[[49.0, 288.0], [128.0, 286.0], [129.0, 297.0], [50.0, 299.0]], ('REACH FLOSS AXD', 0.8716699481010437)], [[[160.0, 285.0], [189.0, 283.0], [190.0, 297.0], [161.0, 299.0]], ('1.00-', 0.9784127473831177)], [[[11.0, 299.0], [25.0, 299.0], [25.0, 312.0], [11.0, 312.0]], ('MC', 0.9802590608596802)], [[[49.0, 299.0], [77.0, 299.0], [77.0, 310.0], [49.0, 310.0]], ('DAIRY', 0.9802433252334595)], [[[160.0, 295.0], [194.0, 293.0], [195.0, 307.0], [161.0, 309.0]], ('0.99-F', 0.9542031288146973)], [[[11.0, 310.0], [25.0, 310.0], [25.0, 322.0], [11.0, 322.0]], ('MC', 0.9716097712516785)], [[[49.0, 309.0], [76.0, 309.0], [76.0, 320.0], [49.0, 320.0]], ('DAIRY', 0.9920721054077148)], [[[161.0, 305.0], [193.0, 303.0], [194.0, 317.0], [162.0, 319.0]], ('-660', 0.8853827118873596)], [[[49.0, 320.0], [68.0, 320.0], [68.0, 331.0], [49.0, 331.0]], ('TAX', 0.9926210045814514)], [[[162.0, 316.0], [186.0, 314.0], [187.0, 326.0], [163.0, 328.0]], ('0.19', 0.9803512096405029)], [[[26.0, 337.0], [86.0, 335.0], [86.0, 349.0], [26.0, 351.0]], ('BALANCE', 0.9810675382614136)], [[[163.0, 335.0], [187.0, 335.0], [187.0, 347.0], [163.0, 347.0]], ('0.19', 0.9922397136688232)], [[[49.0, 358.0], [75.0, 358.0], [75.0, 369.0], [49.0, 369.0]], ('CASH', 0.9912211298942566)], [[[164.0, 354.0], [188.0, 354.0], [188.0, 366.0], [164.0, 366.0]], ('0.20', 0.992604672908783)], [[[48.0, 368.0], [81.0, 365.0], [82.0, 377.0], [49.0, 380.0]], ('CHANGE', 0.9974241256713867)], [[[165.0, 364.0], [188.0, 364.0], [188.0, 376.0], [165.0, 376.0]], ('0.01', 0.9850189685821533)], [[[10.0, 379.0], [150.0, 374.0], [150.0, 387.0], [10.0, 392.0]], ('TOTAL NUMBER OF ITEMS SOLD', 0.9179138541221619)], [[[11.0, 398.0], [160.0, 394.0], [160.0, 407.0], [11.0, 411.0]], ('12/20/1203:41m4060 9 89 143', 0.9248806238174438)], [[[10.0, 418.0], [101.0, 416.0], [101.0, 427.0], [10.0, 429.0]], ('CARD89211', 0.9645594358444214)]]	{"store_name": "GIANT EAGLE", "store_addr": "", "telephone": "330-497-7902", "date": "12/20/12", "time": "03:41pm", "subtotal": "", "tax": "0.19", "total": "0.19", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "REACHFLOSSWAXD", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "REACHFLOSSWAXD", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BRKSTNSOURCRM", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BRKSTNSOURCRM", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DIALLHSPUMP", "item_value": "1.79", "item_quantity": "1"}, {"item_key": "", "item_name": "DIALLHSPUMP", "item_value": "1.79", "item_quantity": "1"}, {"item_key": "", "item_name": "NATBAKEDFRIES", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "NATBAKEDFRIES", "item_value": "0.75", "item_quantity": "1"}, {"item_key": "", "item_name": "DIALLHSPUMP", "item_value": "0.74", "item_quantity": "1"}, {"item_key": "", "item_name": "DIALLHSPUMP", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "REACHFLOSSWAXD", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "REACHFLOSSWAXD", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "DAIRY", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "DAIRY", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[680.0, 22.0], [898.0, 14.0], [899.0, 57.0], [681.0, 65.0]], ('QTY PRICE', 0.9453111290931702)], [[[40.0, 60.0], [124.0, 55.0], [127.0, 95.0], [42.0, 100.0]], ('ITEM', 0.997675895690918)], [[[546.0, 129.0], [723.0, 121.0], [724.0, 158.0], [548.0, 166.0]], ('2@$5.50', 0.9911542534828186)], [[[771.0, 120.0], [904.0, 115.0], [906.0, 151.0], [773.0, 156.0]], ('$11.00', 0.9983856081962585)], [[[37.0, 154.0], [289.0, 142.0], [291.0, 175.0], [39.0, 188.0]], ('Menudo Grande', 0.9756840467453003)], [[[795.0, 169.0], [910.0, 165.0], [911.0, 203.0], [797.0, 207.0]], ('$1.00', 0.9981995820999146)], [[[546.0, 179.0], [725.0, 172.0], [726.0, 209.0], [548.0, 216.0]], ('2@$0.50', 0.9838375449180603)], [[[30.0, 203.0], [203.0, 193.0], [205.0, 229.0], [32.0, 238.0]], ('Pan Mant.', 0.9509825110435486)], [[[711.0, 223.0], [735.0, 223.0], [735.0, 261.0], [711.0, 261.0]], ('1', 0.5663179755210876)], [[[799.0, 220.0], [913.0, 216.0], [914.0, 254.0], [800.0, 258.0]], ('$6.99', 0.9978266954421997)], [[[28.0, 251.0], [349.0, 240.0], [350.0, 272.0], [29.0, 283.0]], ('Arroz de Camaron', 0.9562464952468872)], [[[715.0, 273.0], [735.0, 273.0], [735.0, 310.0], [715.0, 310.0]], ('1', 0.520910918712616)], [[[802.0, 270.0], [917.0, 267.0], [918.0, 305.0], [803.0, 308.0]], ('$5.99', 0.9986092448234558)], [[[22.0, 297.0], [431.0, 285.0], [432.0, 320.0], [23.0, 332.0]], ('Hot Cakes c/1 Huevo', 0.9438557624816895)], [[[716.0, 327.0], [736.0, 327.0], [736.0, 362.0], [716.0, 362.0]], ('1', 0.8591079711914062)], [[[804.0, 323.0], [921.0, 320.0], [922.0, 358.0], [805.0, 361.0]], ('$1.50', 0.9949728846549988)], [[[16.0, 347.0], [200.0, 342.0], [201.0, 378.0], [17.0, 383.0]], ('Hashbrown', 0.9961636066436768)], [[[545.0, 379.0], [733.0, 376.0], [734.0, 417.0], [545.0, 420.0]], ('4@$0.25', 0.9934938549995422)], [[[806.0, 374.0], [926.0, 372.0], [927.0, 412.0], [807.0, 415.0]], ('$1.00', 0.9979440569877625)], [[[10.0, 393.0], [114.0, 390.0], [115.0, 432.0], [11.0, 435.0]], ('To Go', 0.7756199836730957)], [[[314.0, 491.0], [489.0, 488.0], [490.0, 528.0], [315.0, 531.0]], ('Subtotal', 0.9959187507629395)], [[[789.0, 483.0], [935.0, 481.0], [936.0, 523.0], [790.0, 525.0]], ('$27.48', 0.9954969882965088)], [[[317.0, 545.0], [560.0, 545.0], [560.0, 584.0], [317.0, 584.0]], ('Total Taxes', 0.9736335277557373)], [[[816.0, 537.0], [939.0, 537.0], [939.0, 582.0], [816.0, 582.0]], ('$2.27', 0.996332049369812)], [[[308.0, 660.0], [557.0, 658.0], [557.0, 701.0], [309.0, 703.0]], ('Grand Total', 0.9739540219306946)], [[[799.0, 657.0], [948.0, 657.0], [948.0, 702.0], [799.0, 702.0]], ('$29.75', 0.9967755675315857)], [[[306.0, 714.0], [558.0, 717.0], [558.0, 764.0], [305.0, 761.0]], ('Amount Due:', 0.9437227845191956)], [[[802.0, 719.0], [950.0, 719.0], [950.0, 764.0], [802.0, 764.0]], ('$29.75', 0.9965524673461914)], [[[239.0, 837.0], [629.0, 843.0], [629.0, 883.0], [238.0, 876.0]], ('Please Come Back!', 0.8964657187461853)], [[[308.0, 894.0], [565.0, 900.0], [564.0, 943.0], [307.0, 937.0]], ('Guest Check', 0.969207227230072)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$27.48", "tax": "$2.27", "total": "$29.75 $29.75", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MenudoGrande", "item_value": "$11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PanMant.", "item_value": "$1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ArrozdeCamaron", "item_value": "$6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "HotCakesc/1Huevo", "item_value": "$5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Hashbrown", "item_value": "$1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ToGo", "item_value": "$1.00", "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	[[[[64.0, 2.0], [160.0, 4.0], [160.0, 14.0], [63.0, 12.0]], ('ww.eddisonsrestaurant.ca', 0.919457197189331)], [[[37.0, 26.0], [85.0, 28.0], [85.0, 39.0], [37.0, 37.0]], ('10040STACEY', 0.9776561856269836)], [[[35.0, 54.0], [78.0, 54.0], [78.0, 64.0], [35.0, 64.0]], ('Table:.7-1', 0.8720477819442749)], [[[36.0, 45.0], [82.0, 45.0], [82.0, 56.0], [36.0, 56.0]], ('Check:1478', 0.9253018498420715)], [[[154.0, 47.0], [192.0, 47.0], [192.0, 57.0], [154.0, 57.0]], ('Giesto:.4', 0.7889716029167175)], [[[77.0, 62.0], [150.0, 64.0], [150.0, 74.0], [77.0, 73.0]], ('23-07-201609:00AM', 0.892142117023468)], [[[52.0, 79.0], [95.0, 81.0], [94.0, 92.0], [52.0, 90.0]], ('Coffee/tes', 0.8798904418945312)], [[[155.0, 81.0], [176.0, 81.0], [176.0, 92.0], [155.0, 92.0]], ('3.50', 0.9209414720535278)], [[[51.0, 99.0], [92.0, 99.0], [92.0, 109.0], [51.0, 109.0]], ('5 BREAKY', 0.8864649534225464)], [[[52.0, 91.0], [93.0, 91.0], [93.0, 102.0], [52.0, 102.0]], ('LOJuice', 0.8797882795333862)], [[[155.0, 90.0], [176.0, 90.0], [176.0, 102.0], [155.0, 102.0]], ('2.00', 0.9926087856292725)], [[[32.0, 101.0], [37.0, 101.0], [37.0, 107.0], [32.0, 107.0]], ('7', 0.8468328714370728)], [[[50.0, 108.0], [118.0, 108.0], [118.0, 119.0], [50.0, 119.0]], ('Stce.pancake[1]', 0.8196737766265869)], [[[153.0, 100.0], [176.0, 100.0], [176.0, 111.0], [153.0, 111.0]], ('10.00', 0.9890743494033813)], [[[30.0, 110.0], [37.0, 110.0], [37.0, 117.0], [30.0, 117.0]], ('2', 0.8378591537475586)], [[[156.0, 108.0], [177.0, 108.0], [177.0, 120.0], [156.0, 120.0]], ('4.00', 0.989995539188385)], [[[50.0, 118.0], [95.0, 118.0], [95.0, 128.0], [50.0, 128.0]], ('BLUE BERRY', 0.9536336660385132)], [[[156.0, 118.0], [177.0, 118.0], [177.0, 130.0], [156.0, 130.0]], ('2.00', 0.9961896538734436)], [[[47.0, 136.0], [88.0, 138.0], [87.0, 149.0], [47.0, 146.0]], ('SUBTOTAL', 0.9373881816864014)], [[[37.0, 146.0], [116.0, 146.0], [116.0, 159.0], [37.0, 159.0]], ('21.50HSTF00D 5', 0.8613284826278687)], [[[154.0, 138.0], [178.0, 138.0], [178.0, 149.0], [154.0, 149.0]], ('21.50', 0.9784123301506042)], [[[156.0, 146.0], [180.0, 146.0], [180.0, 161.0], [156.0, 161.0]], ('1.08', 0.9570545554161072)], [[[36.0, 157.0], [116.0, 157.0], [116.0, 170.0], [36.0, 170.0]], ('21.50HST F00D 8X', 0.8269356489181519)], [[[157.0, 158.0], [180.0, 158.0], [180.0, 170.0], [157.0, 170.0]], ('1.72', 0.9851232767105103)], [[[24.0, 168.0], [105.0, 168.0], [105.0, 181.0], [24.0, 181.0]], ('TOTAL DUE', 0.9537175297737122)], [[[147.0, 169.0], [199.0, 169.0], [199.0, 180.0], [147.0, 180.0]], ('$24.30', 0.9224763512611389)], [[[39.0, 189.0], [185.0, 189.0], [185.0, 202.0], [39.0, 202.0]], ('OPEN FOR BREAKFAST 7 DAYS A WEEK', 0.8967463970184326)], [[[69.0, 201.0], [157.0, 201.0], [157.0, 214.0], [69.0, 214.0]], ('STARTING AT 630AM', 0.9430444240570068)], [[[103.0, 214.0], [159.0, 214.0], [159.0, 225.0], [103.0, 225.0]], ('613-336-8265', 0.9802185893058777)], [[[47.0, 226.0], [175.0, 226.0], [175.0, 238.0], [47.0, 238.0]], ('FRIDAY NIGHT-STEAK SPECIALS', 0.9666374325752258)], [[[50.0, 236.0], [175.0, 236.0], [175.0, 249.0], [50.0, 249.0]], ('SATURDAY NIGHT-PRIME RIB', 0.926051139831543)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "23-07-2015", "time": "09:00AM", "subtotal": "21.50 21.50 21.50", "tax": "1.06 1.72", "total": "$24.30", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Coffee/tea", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LeJuice", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$5BREAKY", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sidepancake[1]", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BLUEBERRY", "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	[[[[153.0, 12.0], [258.0, 8.0], [261.0, 101.0], [156.0, 105.0]], ('323', 0.9983941912651062)], [[[89.0, 175.0], [198.0, 181.0], [197.0, 195.0], [88.0, 189.0]], ('Val idat ion Code:', 0.9108644127845764)], [[[130.0, 224.0], [250.0, 227.0], [250.0, 241.0], [130.0, 238.0]], ('1215 ROUTE22WEST', 0.9405415058135986)], [[[148.0, 239.0], [233.0, 241.0], [233.0, 256.0], [148.0, 254.0]], ('PHILLIPSBURG', 0.993968665599823)], [[[181.0, 256.0], [202.0, 256.0], [202.0, 272.0], [181.0, 272.0]], ('NJ', 0.9930673837661743)], [[[176.0, 272.0], [213.0, 272.0], [213.0, 287.0], [176.0, 287.0]], ('08865', 0.9978364109992981)], [[[120.0, 286.0], [268.0, 287.0], [268.0, 304.0], [120.0, 303.0]], ('THANK YOU', 0.9309155344963074)], [[[78.0, 303.0], [302.0, 302.0], [302.0, 319.0], [78.0, 320.0]], ('TEL#908 859 5025 Store 20275', 0.9251790046691895)], [[[51.0, 353.0], [95.0, 353.0], [95.0, 371.0], [51.0, 371.0]], ('KS#3', 0.9908926486968994)], [[[183.0, 354.0], [332.0, 351.0], [332.0, 368.0], [183.0, 371.0]], ("Dec.01'14 Mon12:02", 0.9278042912483215)], [[[50.0, 389.0], [230.0, 387.0], [230.0, 404.0], [50.0, 406.0]], ('MFY SIDE 1 KVS Order 23', 0.914263904094696)], [[[51.0, 425.0], [115.0, 425.0], [115.0, 443.0], [51.0, 443.0]], ('QTY ITEM', 0.9487497210502625)], [[[299.0, 420.0], [337.0, 420.0], [337.0, 438.0], [299.0, 438.0]], ('TOTAL', 0.9983505010604858)], [[[64.0, 444.0], [122.0, 444.0], [122.0, 461.0], [64.0, 461.0]], ('1McRib', 0.9671221375465393)], [[[304.0, 438.0], [339.0, 436.0], [340.0, 456.0], [305.0, 458.0]], ('2.99', 0.9961786866188049)], [[[94.0, 461.0], [245.0, 458.0], [245.0, 476.0], [94.0, 479.0]], ('XTRA Slivered Onions', 0.9662157893180847)], [[[94.0, 480.0], [180.0, 478.0], [180.0, 496.0], [94.0, 498.0]], ('XTRA Pickle', 0.9460400938987732)], [[[44.0, 520.0], [110.0, 518.0], [111.0, 539.0], [45.0, 541.0]], ('Subtotal', 0.9927055835723877)], [[[311.0, 512.0], [345.0, 512.0], [345.0, 531.0], [311.0, 531.0]], ('2.99', 0.9947429895401001)], [[[312.0, 532.0], [346.0, 532.0], [346.0, 552.0], [312.0, 552.0]], ('0.21', 0.9930375814437866)], [[[60.0, 542.0], [89.0, 542.0], [89.0, 561.0], [60.0, 561.0]], ('Tax', 0.9959107041358948)], [[[314.0, 572.0], [350.0, 572.0], [350.0, 592.0], [314.0, 592.0]], ('3.20', 0.9932705163955688)], [[[44.0, 582.0], [156.0, 577.0], [157.0, 597.0], [45.0, 602.0]], ('Take-Out Total', 0.964712917804718)], [[[43.0, 622.0], [110.0, 622.0], [110.0, 639.0], [43.0, 639.0]], ('Cashless', 0.9958657026290894)], [[[317.0, 613.0], [353.0, 613.0], [353.0, 633.0], [317.0, 633.0]], ('3.20', 0.9953814148902893)]]	{"store_name": "", "store_addr": "1215ROUTE22WEST PHILLIPSBURG NJ 08865", "telephone": "9088595025", "date": "Dec.01'14", "time": "12:02", "subtotal": "2.99", "tax": "0.21", "total": "3.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "McRib", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "XTRASliveredOnions", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "XTRAPickle", "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	[[[[189.0, 119.0], [491.0, 125.0], [491.0, 154.0], [189.0, 148.0]], ('Terrace Ridge', 0.9767326712608337)], [[[210.0, 148.0], [538.0, 152.0], [538.0, 180.0], [209.0, 177.0]], ('Store Manager: Addison Avila', 0.9424288868904114)], [[[279.0, 180.0], [419.0, 180.0], [419.0, 203.0], [279.0, 203.0]], ('813-988-1980', 0.9932602047920227)], [[[140.0, 232.0], [340.0, 239.0], [339.0, 262.0], [139.0, 255.0]], ('BUSCH NA 12PK CAN', 0.9280850291252136)], [[[487.0, 236.0], [564.0, 236.0], [564.0, 262.0], [487.0, 262.0]], ('7.59T', 0.9638372659683228)], [[[140.0, 260.0], [294.0, 266.0], [293.0, 288.0], [139.0, 282.0]], ('TOTINOS PIZZA', 0.9643468856811523)], [[[138.0, 288.0], [272.0, 291.0], [271.0, 317.0], [137.0, 313.0]], ('1@4FOR', 0.9671118259429932)], [[[336.0, 293.0], [385.0, 293.0], [385.0, 317.0], [336.0, 317.0]], ('5.00', 0.9969431757926941)], [[[487.0, 292.0], [540.0, 292.0], [540.0, 321.0], [487.0, 321.0]], ('1.25', 0.9932255148887634)], [[[567.0, 293.0], [586.0, 293.0], [586.0, 320.0], [567.0, 320.0]], ('F', 0.9891258478164673)], [[[139.0, 319.0], [350.0, 323.0], [350.0, 346.0], [138.0, 341.0]], ('APPLES MCINTOSH LG', 0.9475277662277222)], [[[137.0, 345.0], [247.0, 349.0], [246.0, 373.0], [136.0, 369.0]], ('0.831b@', 0.9927031397819519)], [[[302.0, 351.0], [396.0, 351.0], [396.0, 373.0], [302.0, 373.0]], ('1.69/1b', 0.9797221422195435)], [[[487.0, 350.0], [540.0, 350.0], [540.0, 378.0], [487.0, 378.0]], ('1.40', 0.9944985508918762)], [[[566.0, 347.0], [588.0, 349.0], [585.0, 378.0], [563.0, 376.0]], ('F', 0.9927847385406494)], [[[170.0, 375.0], [420.0, 378.0], [420.0, 404.0], [170.0, 402.0]], ('Adv Buy Savings 0.25', 0.9455512762069702)], [[[134.0, 404.0], [221.0, 404.0], [221.0, 430.0], [134.0, 430.0]], ('BANANAS', 0.9961350560188293)], [[[134.0, 433.0], [245.0, 433.0], [245.0, 459.0], [134.0, 459.0]], ('2.461b@', 0.9918309450149536)], [[[299.0, 434.0], [397.0, 434.0], [397.0, 461.0], [299.0, 461.0]], ('0.69/1b', 0.984815239906311)], [[[487.0, 435.0], [538.0, 435.0], [538.0, 463.0], [487.0, 463.0]], ('1.70', 0.9947993755340576)], [[[135.0, 464.0], [301.0, 464.0], [301.0, 486.0], [135.0, 486.0]], ('PEARS BARTLETT', 0.9637418389320374)], [[[135.0, 494.0], [244.0, 494.0], [244.0, 516.0], [135.0, 516.0]], ('0.861b@', 0.9848310351371765)], [[[299.0, 493.0], [397.0, 493.0], [397.0, 518.0], [299.0, 518.0]], ('0.88/1b', 0.9762476086616516)], [[[485.0, 494.0], [537.0, 494.0], [537.0, 518.0], [485.0, 518.0]], ('0.76', 0.9952029585838318)], [[[565.0, 493.0], [583.0, 493.0], [583.0, 519.0], [565.0, 519.0]], ('F', 0.9908924102783203)], [[[170.0, 522.0], [420.0, 522.0], [420.0, 547.0], [170.0, 547.0]], ('Ad Spec Savings 0.53', 0.9537283778190613)], [[[134.0, 550.0], [348.0, 552.0], [348.0, 574.0], [134.0, 573.0]], ('CHWY PPRMNT MENTOS', 0.9577355980873108)], [[[485.0, 551.0], [549.0, 551.0], [549.0, 575.0], [485.0, 575.0]], ('0.79', 0.9861066341400146)], [[[536.0, 548.0], [584.0, 548.0], [584.0, 577.0], [536.0, 577.0]], ('TF', 0.9862934947013855)], [[[135.0, 581.0], [347.0, 581.0], [347.0, 603.0], [135.0, 603.0]], ('CLAUS SAND SL PICK', 0.9470651149749756)], [[[484.0, 578.0], [536.0, 578.0], [536.0, 606.0], [484.0, 606.0]], ('2.89', 0.9948449730873108)], [[[567.0, 579.0], [580.0, 579.0], [580.0, 604.0], [567.0, 604.0]], ('LF', 0.5875488519668579)], [[[133.0, 609.0], [276.0, 609.0], [276.0, 631.0], [133.0, 631.0]], ('OJ TROP PURE', 0.897996187210083)], [[[484.0, 606.0], [536.0, 606.0], [536.0, 635.0], [484.0, 635.0]], ('2.49', 0.9918887615203857)], [[[133.0, 639.0], [265.0, 639.0], [265.0, 661.0], [133.0, 661.0]], ('PUBLIX MILK', 0.9559026956558228)], [[[485.0, 637.0], [535.0, 637.0], [535.0, 661.0], [485.0, 661.0]], ('2.99', 0.9981189966201782)], [[[566.0, 638.0], [581.0, 638.0], [581.0, 660.0], [566.0, 660.0]], ('F', 0.9911001324653625)], [[[134.0, 669.0], [347.0, 669.0], [347.0, 690.0], [134.0, 690.0]], ('WHITE PEARL ERASER', 0.9598475694656372)], [[[485.0, 666.0], [559.0, 666.0], [559.0, 689.0], [485.0, 689.0]], ('0.79 T', 0.9181118011474609)], [[[134.0, 698.0], [334.0, 698.0], [334.0, 720.0], [134.0, 720.0]], ('CREST TTHPST TART', 0.94303297996521)], [[[483.0, 694.0], [559.0, 691.0], [560.0, 718.0], [484.0, 720.0]], ('2.93 T', 0.9095954298973083)], [[[131.0, 724.0], [218.0, 724.0], [218.0, 751.0], [131.0, 751.0]], ('KIT KAT', 0.9554632306098938)], [[[483.0, 721.0], [581.0, 721.0], [581.0, 747.0], [483.0, 747.0]], ('3.55TF', 0.9899532198905945)], [[[133.0, 756.0], [324.0, 756.0], [324.0, 779.0], [133.0, 779.0]], ('ALMOND JOY SNACK', 0.9562480449676514)], [[[484.0, 749.0], [579.0, 751.0], [579.0, 775.0], [483.0, 772.0]], ('3.55TF', 0.9813711643218994)], [[[482.0, 775.0], [559.0, 778.0], [558.0, 805.0], [481.0, 802.0]], ('1.97 T', 0.9158060550689697)], [[[133.0, 785.0], [264.0, 785.0], [264.0, 807.0], [133.0, 807.0]], ('BOUNTY ROLL', 0.9568843841552734)], [[[481.0, 804.0], [581.0, 808.0], [580.0, 834.0], [480.0, 831.0]], ('2.99 T F', 0.8820643424987793)], [[[132.0, 815.0], [300.0, 810.0], [300.0, 833.0], [132.0, 838.0]], ('SUNKIST ORANGE', 0.9642288088798523)], [[[132.0, 843.0], [333.0, 836.0], [334.0, 858.0], [133.0, 865.0]], ('DM FR2GO CHRY MXD', 0.918942391872406)], [[[480.0, 834.0], [533.0, 834.0], [533.0, 862.0], [480.0, 862.0]], ('2.53', 0.9924546480178833)], [[[562.0, 836.0], [578.0, 836.0], [578.0, 862.0], [562.0, 862.0]], ('F.', 0.8392404317855835)], [[[156.0, 894.0], [287.0, 888.0], [288.0, 914.0], [157.0, 920.0]], ('Order Total', 0.9605239629745483)], [[[470.0, 889.0], [531.0, 892.0], [529.0, 917.0], [469.0, 914.0]], ('40.17', 0.9944815635681152)], [[[180.0, 922.0], [289.0, 916.0], [291.0, 942.0], [181.0, 949.0]], ('Sales Tax', 0.9579300284385681)], [[[480.0, 917.0], [531.0, 917.0], [531.0, 941.0], [480.0, 941.0]], ('1.70', 0.936166524887085)], [[[470.0, 942.0], [529.0, 944.0], [528.0, 969.0], [469.0, 966.0]], ('41.87', 0.9953545331954956)], [[[157.0, 952.0], [287.0, 944.0], [289.0, 970.0], [158.0, 979.0]], ('Grand Total', 0.9265151619911194)], [[[308.0, 972.0], [391.0, 966.0], [393.0, 994.0], [310.0, 1000.0]], ('Payment', 0.9977983832359314)], [[[469.0, 967.0], [529.0, 970.0], [528.0, 993.0], [468.0, 991.0]], ('41.87', 0.9956728219985962)], [[[122.0, 980.0], [187.0, 980.0], [187.0, 1008.0], [122.0, 1008.0]], ('Debit', 0.997499942779541)]]	{"store_name": "Publix", "store_addr": "", "telephone": "813-988-1980", "date": "", "time": "", "subtotal": "40.17", "tax": "1.70", "total": "41.87 41.87", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BUSCHNA12PKCAN", "item_value": "7.59", "item_quantity": "1"}, {"item_key": "", "item_name": "TOTINOSPIZZA", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "APPLESMCINTOSHLG", "item_value": "1.40", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANAS", "item_value": "1.70", "item_quantity": "1"}, {"item_key": "", "item_name": "PEARSBARTLETT", "item_value": "0.76", "item_quantity": "1"}, {"item_key": "", "item_name": "CHWYPPRMNTMENTOS", "item_value": "0.79", "item_quantity": "1"}, {"item_key": "", "item_name": "CLAUSSANDSLPICK", "item_value": "2.89", "item_quantity": "1"}, {"item_key": "", "item_name": "OJTROPPURE", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "PUBLIXMILK", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "WHITEPEARLERASER", "item_value": "0.79", "item_quantity": "1"}, {"item_key": "", "item_name": "CRESTTTHPSTTART", "item_value": "2.93", "item_quantity": "1"}, {"item_key": "", "item_name": "KITKAT", "item_value": "3.55", "item_quantity": "1"}, {"item_key": "", "item_name": "ALMONDJOYSNACK", "item_value": "3.55", "item_quantity": "1"}, {"item_key": "", "item_name": "BOUNTYROLL", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SUNKISTORANGE", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DMFR2GOCHRYMXD", "item_value": "2.53", "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	[[[[30.0, 15.0], [172.0, 11.0], [173.0, 39.0], [31.0, 43.0]], ('Atmosphere', 0.9984569549560547)], [[[182.0, 9.0], [249.0, 2.0], [251.0, 32.0], [185.0, 39.0]], ('360', 0.9983134865760803)], [[[32.0, 57.0], [247.0, 49.0], [248.0, 63.0], [32.0, 71.0]], ('REVOLVING RESTAURANT@KL TOWER', 0.9362911581993103)], [[[102.0, 81.0], [181.0, 79.0], [182.0, 93.0], [102.0, 96.0]], ('ATMOSPHERE 360', 0.9582224488258362)], [[[42.0, 98.0], [244.0, 90.0], [244.0, 104.0], [43.0, 112.0]], ('As1an Kitchen M Sdn Bhd 865262-H', 0.9109570384025574)], [[[85.0, 110.0], [195.0, 107.0], [195.0, 121.0], [86.0, 124.0]], ('Menara Kua la Lumpur', 0.9111534357070923)], [[[109.0, 123.0], [178.0, 123.0], [178.0, 134.0], [109.0, 134.0]], ('JaTan Puncak', 0.953898012638092)], [[[91.0, 134.0], [197.0, 134.0], [197.0, 148.0], [91.0, 148.0]], ('50250 Kuala Lumpur', 0.9041335582733154)], [[[74.0, 147.0], [211.0, 145.0], [211.0, 159.0], [74.0, 161.0]], ('Federal Territory Of K.L', 0.9091501235961914)], [[[90.0, 160.0], [195.0, 157.0], [195.0, 171.0], [91.0, 174.0]], ('TEL03-20202121', 0.9897876381874084)], [[[62.0, 171.0], [224.0, 169.0], [224.0, 186.0], [63.0, 188.0]], ('GST Reg.No000896663552', 0.9369397759437561)], [[[74.0, 199.0], [200.0, 196.0], [201.0, 212.0], [74.0, 215.0]], ('Tax Invoice', 0.9598053097724915)], [[[27.0, 227.0], [122.0, 225.0], [122.0, 250.0], [27.0, 252.0]], ('Table s9', 0.9263020753860474)], [[[29.0, 251.0], [111.0, 248.0], [112.0, 262.0], [29.0, 265.0]], ('Order#:252856', 0.951099157333374)], [[[29.0, 263.0], [143.0, 261.0], [143.0, 275.0], [29.0, 277.0]], ('Bi11#V001-240189', 0.9347806572914124)], [[[183.0, 263.0], [237.0, 263.0], [237.0, 274.0], [183.0, 274.0]], ('Paxs1', 0.9788848757743835)], [[[30.0, 276.0], [193.0, 274.0], [193.0, 288.0], [30.0, 290.0]], ('Date23-11-2015 15:3447', 0.9561997056007385)], [[[31.0, 289.0], [164.0, 289.0], [164.0, 303.0], [31.0, 303.0]], ('Cashier:Rostam Tuj iman', 0.9393007159233093)], [[[35.0, 317.0], [105.0, 317.0], [105.0, 328.0], [35.0, 328.0]], ('Description', 0.9914819598197937)], [[[115.0, 316.0], [137.0, 316.0], [137.0, 328.0], [115.0, 328.0]], ('Qty', 0.9965526461601257)], [[[156.0, 316.0], [200.0, 316.0], [200.0, 327.0], [156.0, 327.0]], ('U.price', 0.988201916217804)], [[[205.0, 314.0], [262.0, 314.0], [262.0, 328.0], [205.0, 328.0]], ('Total TAX', 0.90797358751297)], [[[34.0, 340.0], [154.0, 338.0], [154.0, 356.0], [34.0, 357.0]], ('Afternoon Tea Adult', 0.9624421000480652)], [[[109.0, 357.0], [134.0, 357.0], [134.0, 369.0], [109.0, 369.0]], ('1x', 0.6878222227096558)], [[[157.0, 355.0], [188.0, 355.0], [188.0, 370.0], [157.0, 370.0]], ('57.45', 0.9895933866500854)], [[[208.0, 351.0], [266.0, 354.0], [266.0, 371.0], [207.0, 368.0]], ('57.45SR', 0.9927956461906433)], [[[27.0, 384.0], [157.0, 384.0], [157.0, 398.0], [27.0, 398.0]], ('Tota1Excluding GST', 0.9453063607215881)], [[[234.0, 384.0], [268.0, 384.0], [268.0, 399.0], [234.0, 399.0]], ('57.45', 0.9952621459960938)], [[[24.0, 400.0], [97.0, 400.0], [97.0, 414.0], [24.0, 414.0]], ('GST Payable:', 0.9362198710441589)], [[[240.0, 399.0], [270.0, 399.0], [270.0, 415.0], [240.0, 415.0]], ('3.45', 0.9950527548789978)], [[[22.0, 414.0], [175.0, 416.0], [175.0, 430.0], [22.0, 428.0]], ('Tota1 (Inclusive of GST:', 0.9009681344032288)], [[[236.0, 414.0], [272.0, 414.0], [272.0, 432.0], [236.0, 432.0]], ('60.90', 0.9937833547592163)]]	{"store_name": "Atmosphere 360\u00b0 ATNOSPHERE360", "store_addr": "MenaraKualaLumpur JalanPuncak 50250KualaLumpur FederalTerritoryOfK.L", "telephone": "03-20202121", "date": "23-11-2015", "time": "15:34:47", "subtotal": "57.45", "tax": "3.45", "total": "60.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AfternoonTea(Adult)", "item_value": "57.45", "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	[[[[231.0, 14.0], [421.0, 11.0], [421.0, 35.0], [231.0, 38.0]], ('7-ELEVEN', 0.9903056025505066)], [[[240.0, 39.0], [408.0, 37.0], [408.0, 58.0], [240.0, 60.0]], ('246ELLI0TT ST', 0.9213773012161255)], [[[229.0, 62.0], [420.0, 61.0], [420.0, 82.0], [229.0, 83.0]], ('BEVERLYMA 01915', 0.9599651098251343)], [[[265.0, 86.0], [383.0, 86.0], [383.0, 106.0], [265.0, 106.0]], ('9789276781', 0.9989022016525269)], [[[241.0, 110.0], [396.0, 110.0], [396.0, 130.0], [241.0, 130.0]], ('STORE#34392', 0.9889022707939148)], [[[240.0, 133.0], [408.0, 135.0], [408.0, 155.0], [240.0, 153.0]], ('Tom Brady is a', 0.9146639108657837)], [[[230.0, 158.0], [406.0, 158.0], [406.0, 178.0], [230.0, 178.0]], ('footballGod!!!', 0.9150975942611694)], [[[86.0, 199.0], [336.0, 203.0], [336.0, 227.0], [86.0, 223.0]], ('1HrshyM1kChocXL4.4z', 0.9111005663871765)], [[[489.0, 202.0], [553.0, 202.0], [553.0, 228.0], [489.0, 228.0]], ('2.69F', 0.9867401123046875)], [[[88.0, 249.0], [181.0, 249.0], [181.0, 270.0], [88.0, 270.0]], ('SUBTOTAL', 0.9965115785598755)], [[[501.0, 250.0], [553.0, 250.0], [553.0, 273.0], [501.0, 273.0]], ('2.69', 0.9976072311401367)], [[[88.0, 271.0], [196.0, 271.0], [196.0, 295.0], [88.0, 295.0]], ('TOTAL DUE', 0.9589266180992126)], [[[498.0, 273.0], [554.0, 273.0], [554.0, 298.0], [498.0, 298.0]], ('2.69', 0.9932429790496826)], [[[88.0, 295.0], [188.0, 295.0], [188.0, 319.0], [88.0, 319.0]], ('CASH', 0.9757544994354248)], [[[467.0, 298.0], [562.0, 298.0], [562.0, 319.0], [467.0, 319.0]], ('2.69', 0.9948760271072388)], [[[253.0, 364.0], [382.0, 364.0], [382.0, 385.0], [253.0, 385.0]], ('Haters live', 0.9134102463722229)], [[[255.0, 389.0], [381.0, 389.0], [381.0, 410.0], [255.0, 410.0]], ('in Denver!!', 0.8578081727027893)], [[[138.0, 411.0], [535.0, 413.0], [535.0, 433.0], [138.0, 431.0]], ('**REPRINT**', 0.887032687664032)], [[[91.0, 434.0], [526.0, 436.0], [526.0, 457.0], [91.0, 455.0]], ('T#01 0P08TRN8197 11/05/2015 11:30PM', 0.9402193427085876)]]	{"store_name": "7-ELEVEN", "store_addr": "246ELLIOTTST BEVERLYMA01915", "telephone": "9789276781", "date": "11/05/2015", "time": "11:30PM", "subtotal": "2.69", "tax": "", "total": "2.69 2.69", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HrshyMlkChocXL4.4z", "item_value": "2.69F", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[90.0, 2.0], [125.0, 2.0], [125.0, 20.0], [90.0, 20.0]], ('DATE', 0.9983120560646057)], [[[204.0, 2.0], [284.0, 2.0], [284.0, 19.0], [204.0, 19.0]], ('06/01/2016', 0.9931977987289429)], [[[372.0, 8.0], [397.0, 8.0], [397.0, 20.0], [372.0, 20.0]], ('WED', 0.9900957942008972)], [[[91.0, 20.0], [400.0, 18.0], [400.0, 36.0], [91.0, 38.0]], ('****************************************', 0.977705180644989)], [[[92.0, 41.0], [199.0, 40.0], [200.0, 55.0], [92.0, 56.0]], ('ZUCHINNI GREEN', 0.961311936378479)], [[[356.0, 38.0], [399.0, 38.0], [399.0, 57.0], [356.0, 57.0]], ('$4.66', 0.9243417978286743)], [[[98.0, 57.0], [267.0, 58.0], [267.0, 75.0], [98.0, 74.0]], ('0.778kgNET$5.99/kg', 0.9887359142303467)], [[[94.0, 77.0], [214.0, 77.0], [214.0, 91.0], [94.0, 91.0]], ('BANANA CAVENDISH', 0.9792536497116089)], [[[354.0, 74.0], [397.0, 74.0], [397.0, 94.0], [354.0, 94.0]], ('$1.32', 0.9964990615844727)], [[[98.0, 92.0], [266.0, 94.0], [266.0, 111.0], [98.0, 110.0]], ('0.442kg NET$2.99/kg', 0.9734839200973511)], [[[93.0, 110.0], [148.0, 110.0], [148.0, 127.0], [93.0, 127.0]], ('SPECIAL', 0.9978752732276917)], [[[353.0, 110.0], [395.0, 110.0], [395.0, 128.0], [353.0, 128.0]], ('$0.99', 0.9985474348068237)], [[[92.0, 127.0], [148.0, 127.0], [148.0, 144.0], [92.0, 144.0]], ('SPECIAL', 0.9976162314414978)], [[[353.0, 128.0], [394.0, 128.0], [394.0, 146.0], [353.0, 146.0]], ('$1.50', 0.9983842968940735)], [[[91.0, 143.0], [215.0, 144.0], [215.0, 162.0], [91.0, 161.0]], ('POTATOES BRUSHED', 0.9660401940345764)], [[[353.0, 145.0], [393.0, 145.0], [393.0, 164.0], [353.0, 164.0]], ('$3.97', 0.997564971446991)], [[[98.0, 161.0], [266.0, 163.0], [265.0, 180.0], [98.0, 178.0]], ('1.328kg NET$2.99/kg', 0.9675109386444092)], [[[93.0, 180.0], [154.0, 180.0], [154.0, 194.0], [93.0, 194.0]], ('BROCCOLI', 0.9957141876220703)], [[[352.0, 180.0], [394.0, 180.0], [394.0, 198.0], [352.0, 198.0]], ('$4.84', 0.9955621957778931)], [[[97.0, 194.0], [266.0, 196.0], [265.0, 214.0], [97.0, 211.0]], ('0.808kg NET$5.99/kg', 0.9613786935806274)], [[[92.0, 213.0], [205.0, 213.0], [205.0, 228.0], [92.0, 228.0]], ('BRUSSEL SPROUTS', 0.9648090600967407)], [[[353.0, 212.0], [395.0, 212.0], [395.0, 231.0], [353.0, 231.0]], ('$5.15', 0.996425986289978)], [[[96.0, 228.0], [273.0, 230.0], [273.0, 247.0], [96.0, 245.0]], ('0.322kg NET$15.99/kg', 0.9547768831253052)], [[[90.0, 244.0], [148.0, 246.0], [148.0, 264.0], [89.0, 261.0]], ('SPECIAL', 0.9974026679992676)], [[[354.0, 246.0], [396.0, 246.0], [396.0, 264.0], [354.0, 264.0]], ('$0.99', 0.9981153607368469)], [[[91.0, 264.0], [183.0, 264.0], [183.0, 279.0], [91.0, 279.0]], ('GRAPES GREEN', 0.9662651419639587)], [[[354.0, 263.0], [397.0, 263.0], [397.0, 282.0], [354.0, 282.0]], ('$7.03', 0.9971869587898254)], [[[96.0, 281.0], [265.0, 281.0], [265.0, 298.0], [96.0, 298.0]], ('1.174kg NET$5.99/kg', 0.9709435701370239)], [[[88.0, 296.0], [160.0, 298.0], [160.0, 315.0], [87.0, 313.0]], ('PEAS SNOW', 0.9353603720664978)], [[[354.0, 296.0], [398.0, 293.0], [399.0, 313.0], [355.0, 315.0]], ('$3.27', 0.9963668584823608)], [[[94.0, 312.0], [273.0, 313.0], [273.0, 333.0], [94.0, 332.0]], ('0.218kg NET $14.99/kg', 0.9536824822425842)], [[[89.0, 333.0], [197.0, 333.0], [197.0, 348.0], [89.0, 348.0]], ('TOMATOES GRAPE', 0.9738587141036987)], [[[359.0, 330.0], [402.0, 330.0], [402.0, 346.0], [359.0, 346.0]], ('$2.99', 0.9153518676757812)], [[[88.0, 351.0], [202.0, 351.0], [202.0, 365.0], [88.0, 365.0]], ('LETTUCE ICEBERG', 0.9679946303367615)], [[[358.0, 347.0], [404.0, 347.0], [404.0, 365.0], [358.0, 365.0]], ('$2.49', 0.9986711740493774)], [[[147.0, 368.0], [209.0, 368.0], [209.0, 382.0], [147.0, 382.0]], ('SUBTOTAL', 0.9965895414352417)], [[[352.0, 365.0], [405.0, 365.0], [405.0, 383.0], [352.0, 383.0]], ('$39.20', 0.9978602528572083)], [[[147.0, 384.0], [205.0, 384.0], [205.0, 402.0], [147.0, 402.0]], ('LOYALTY', 0.995612621307373)], [[[352.0, 383.0], [405.0, 383.0], [405.0, 402.0], [352.0, 402.0]], ('-15.00', 0.9907431602478027)], [[[147.0, 403.0], [211.0, 403.0], [211.0, 420.0], [147.0, 420.0]], ('SUBTOTAL', 0.9969409704208374)], [[[352.0, 402.0], [406.0, 402.0], [406.0, 420.0], [352.0, 420.0]], ('$24.20', 0.9965694546699524)], [[[146.0, 421.0], [211.0, 421.0], [211.0, 438.0], [146.0, 438.0]], ('SUBTOTAL', 0.9961154460906982)], [[[353.0, 421.0], [406.0, 421.0], [406.0, 438.0], [353.0, 438.0]], ('$24.20', 0.9971681237220764)], [[[81.0, 459.0], [148.0, 456.0], [148.0, 476.0], [82.0, 478.0]], ('SUBTOTAL', 0.9964535236358643)], [[[353.0, 455.0], [407.0, 458.0], [406.0, 477.0], [352.0, 474.0]], ('$24.20', 0.9941053986549377)], [[[81.0, 478.0], [163.0, 477.0], [163.0, 495.0], [82.0, 496.0]], ('TOTAL.', 0.9413537383079529)], [[[307.0, 478.0], [406.0, 478.0], [406.0, 495.0], [307.0, 495.0]], ('$24.20', 0.991125762462616)], [[[79.0, 498.0], [116.0, 498.0], [116.0, 516.0], [79.0, 516.0]], ('CASH', 0.9980980157852173)], [[[356.0, 497.0], [408.0, 497.0], [408.0, 515.0], [356.0, 515.0]], ('$50.00', 0.9973065257072449)], [[[76.0, 517.0], [132.0, 514.0], [133.0, 535.0], [77.0, 538.0]], ('CHANGE', 0.997466504573822)], [[[356.0, 516.0], [410.0, 516.0], [410.0, 535.0], [356.0, 535.0]], ('$25.80', 0.97715163230896)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "06/01/2016", "time": "", "subtotal": "$39.20", "tax": "", "total": "$24.20 $24.20 $24.20 $24.20", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LETTUCEICEBERG", "item_value": "$2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "TOMATOESGRAPE", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PEASSNOW", "item_value": "$3.27", "item_quantity": "1"}, {"item_key": "", "item_name": "GRAPESGREEN", "item_value": "$7.03", "item_quantity": "1"}, {"item_key": "", "item_name": "SPECIAL", "item_value": "$0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BRUSSELSPROUTS", "item_value": "$5.15", "item_quantity": "1"}, {"item_key": "", "item_name": "BROCCOLI", "item_value": "$4.84", "item_quantity": "1"}, {"item_key": "", "item_name": "POTATOESBRUSHED", "item_value": "$3.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SPECIAL", "item_value": "$1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SPECIAL", "item_value": "$0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANACAVENDISH", "item_value": "$1.32", "item_quantity": "1"}, {"item_key": "", "item_name": "ZUCHINNIGREEN", "item_value": "$4.66", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[2.0, 11.0], [82.0, 9.0], [83.0, 27.0], [2.0, 29.0]], ('MEDIA WORLD', 0.9557222723960876)], [[[2.0, 31.0], [246.0, 27.0], [246.0, 43.0], [2.0, 47.0]], ('MEDIAMARKET S.P.A. con Socio Unico', 0.9136213660240173)], [[[2.0, 50.0], [252.0, 46.0], [253.0, 63.0], [2.0, 67.0]], ("Piazza Duca D'Aosta1 20124 Mi lano", 0.9127517938613892)], [[[3.0, 71.0], [124.0, 71.0], [124.0, 85.0], [3.0, 85.0]], ('P.IVA02630120166', 0.9892557859420776)], [[[264.0, 88.0], [289.0, 88.0], [289.0, 104.0], [264.0, 104.0]], ('EUR', 0.9970290064811707)], [[[9.0, 111.0], [109.0, 108.0], [110.0, 125.0], [10.0, 127.0]], ('TIM OPZ 1GBL.TE', 0.8660303354263306)], [[[277.0, 106.0], [312.0, 106.0], [312.0, 124.0], [277.0, 124.0]], ('5,00', 0.9233920574188232)], [[[4.0, 131.0], [95.0, 131.0], [95.0, 145.0], [4.0, 145.0]], ('0000006986830', 0.9979344010353088)], [[[122.0, 173.0], [256.0, 183.0], [254.0, 217.0], [119.0, 207.0]], ('ACASSEA', 0.8388627767562866)], [[[10.0, 188.0], [55.0, 188.0], [55.0, 206.0], [10.0, 206.0]], ('TOTALE', 0.9980294704437256)], [[[279.0, 186.0], [313.0, 186.0], [313.0, 203.0], [279.0, 203.0]], ('5,00', 0.928596019744873)], [[[9.0, 208.0], [68.0, 207.0], [68.0, 225.0], [9.0, 226.0]], ('CONTANTI', 0.9953035712242126)], [[[136.0, 211.0], [239.0, 219.0], [237.0, 238.0], [135.0, 230.0]], ('CONSEGNATO', 0.9978496432304382)], [[[279.0, 205.0], [313.0, 205.0], [313.0, 223.0], [279.0, 223.0]], ('5,00', 0.9380605816841125)], [[[82.0, 250.0], [266.0, 250.0], [266.0, 263.0], [82.0, 263.0]], ('IDENTIFICATIVO TRANSAZIONE', 0.9732129573822021)], [[[66.0, 328.0], [281.0, 330.0], [281.0, 345.0], [66.0, 343.0]], ('071300-50000-1302-01610-051234', 0.9927071928977966)], [[[91.0, 370.0], [224.0, 374.0], [223.0, 388.0], [90.0, 384.0]], ('38110M8H9.88007', 0.5535765886306763)], [[[93.0, 388.0], [246.0, 391.0], [246.0, 408.0], [93.0, 405.0]], ('SCONTRINO NON FISCALE', 0.9631434082984924)], [[[39.0, 406.0], [303.0, 411.0], [302.0, 427.0], [38.0, 423.0]], ('AI SENSI ART.1C.429 LEGGE 311/2004', 0.9354550838470459)], [[[5.0, 441.0], [75.0, 445.0], [74.0, 463.0], [3.0, 459.0]], ('ART00001', 0.987398624420166)], [[[171.0, 448.0], [330.0, 450.0], [330.0, 467.0], [171.0, 465.0]], ('TRANSAZIONE:000000130', 0.9202895164489746)], [[[7.0, 480.0], [92.0, 483.0], [92.0, 499.0], [7.0, 497.0]], ('NEGOZ10:713', 0.9158229231834412)], [[[6.0, 518.0], [72.0, 520.0], [72.0, 537.0], [6.0, 535.0]], ('Operatore', 0.993056058883667)], [[[109.0, 521.0], [146.0, 524.0], [145.0, 539.0], [107.0, 535.0]], ('Cassa', 0.9954397082328796)], [[[198.0, 525.0], [229.0, 525.0], [229.0, 540.0], [198.0, 540.0]], ('Data', 0.9947803616523743)], [[[296.0, 527.0], [323.0, 529.0], [322.0, 545.0], [294.0, 542.0]], ('Ora', 0.9895381927490234)], [[[8.0, 538.0], [73.0, 538.0], [73.0, 555.0], [8.0, 555.0]], ('000000024', 0.9920942783355713)], [[[116.0, 541.0], [140.0, 541.0], [140.0, 557.0], [116.0, 557.0]], ('005', 0.9978176951408386)], [[[177.0, 541.0], [250.0, 544.0], [249.0, 561.0], [176.0, 557.0]], ('05/10/2016', 0.9971250295639038)], [[[289.0, 544.0], [331.0, 547.0], [330.0, 565.0], [288.0, 562.0]], ('12:34', 0.9118118286132812)]]	{"store_name": "MEDIAWORLD", "store_addr": "PiazzaDucaD'Aosta,120124Milano MEDIAMARKETS.p.A.conSocioUnico", "telephone": "", "date": "05/10/2016", "time": "12:34", "subtotal": "", "tax": "", "total": "5,00 5,00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "TIMOPZ1GBLTE", "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	[[[[556.0, 363.0], [1127.0, 373.0], [1125.0, 440.0], [555.0, 430.0]], ('CREDIT CARD VOUCHER', 0.909458577632904)], [[[631.0, 452.0], [1011.0, 459.0], [1010.0, 516.0], [630.0, 509.0]], ('ANY RESTAURANT', 0.9728159308433533)], [[[703.0, 528.0], [937.0, 536.0], [934.0, 603.0], [701.0, 595.0]], ('ANYWHERE', 0.9914546608924866)], [[[643.0, 611.0], [1001.0, 611.0], [1001.0, 675.0], [643.0, 675.0]], ('69696969(69)', 0.9323782920837402)], [[[324.0, 767.0], [455.0, 767.0], [455.0, 828.0], [324.0, 828.0]], ('DATE', 0.9960012435913086)], [[[1029.0, 777.0], [1310.0, 777.0], [1310.0, 831.0], [1029.0, 831.0]], ('02/02/2014', 0.9961181879043579)], [[[328.0, 847.0], [455.0, 847.0], [455.0, 908.0], [328.0, 908.0]], ('TIME', 0.9946435689926147)], [[[1157.0, 857.0], [1310.0, 857.0], [1310.0, 914.0], [1157.0, 914.0]], ('11:11', 0.9565750360488892)], [[[325.0, 926.0], [593.0, 933.0], [592.0, 991.0], [324.0, 984.0]], ('CARD TYPE', 0.9520480632781982)], [[[1242.0, 936.0], [1316.0, 936.0], [1316.0, 997.0], [1242.0, 997.0]], ('MC', 0.9922722578048706)], [[[324.0, 1009.0], [465.0, 1009.0], [465.0, 1067.0], [324.0, 1067.0]], ('ACCT:', 0.9382038116455078)], [[[789.0, 1019.0], [1304.0, 1019.0], [1304.0, 1073.0], [789.0, 1073.0]], ('XXXXXXXXXXXX1111', 0.8929149508476257)], [[[326.0, 1088.0], [593.0, 1099.0], [591.0, 1157.0], [324.0, 1146.0]], ('TRANS KEY', 0.9617146253585815)], [[[942.0, 1102.0], [1307.0, 1102.0], [1307.0, 1156.0], [942.0, 1156.0]], ('HYU8789798234', 0.9980071187019348)], [[[325.0, 1171.0], [593.0, 1179.0], [592.0, 1233.0], [324.0, 1226.0]], ('AUTH CODE', 0.9674151539802551)], [[[1164.0, 1178.0], [1307.0, 1178.0], [1307.0, 1236.0], [1164.0, 1236.0]], ('12345', 0.9982898831367493)], [[[319.0, 1251.0], [556.0, 1258.0], [554.0, 1316.0], [318.0, 1308.0]], ('EXP DATE', 0.944062352180481)], [[[1157.0, 1261.0], [1310.0, 1261.0], [1310.0, 1318.0], [1157.0, 1318.0]], ('XX/XX', 0.8803794980049133)], [[[324.0, 1341.0], [484.0, 1341.0], [484.0, 1392.0], [324.0, 1392.0]], ('CHECK:', 0.9420990943908691)], [[[1176.0, 1341.0], [1304.0, 1341.0], [1304.0, 1398.0], [1176.0, 1398.0]], ('1111', 0.9964721202850342)], [[[321.0, 1417.0], [474.0, 1417.0], [474.0, 1474.0], [321.0, 1474.0]], ('TABLE', 0.996997058391571)], [[[1160.0, 1420.0], [1304.0, 1420.0], [1304.0, 1478.0], [1160.0, 1478.0]], ('11/11', 0.9980508685112)], [[[321.0, 1497.0], [512.0, 1497.0], [512.0, 1554.0], [321.0, 1554.0]], ('SERVER:', 0.9834185242652893)], [[[1051.0, 1503.0], [1304.0, 1503.0], [1304.0, 1557.0], [1051.0, 1557.0]], ('34MONIKA', 0.985840916633606)], [[[315.0, 1662.0], [562.0, 1662.0], [562.0, 1716.0], [315.0, 1716.0]], ('Subtotal', 0.977442741394043)], [[[1074.0, 1658.0], [1301.0, 1666.0], [1300.0, 1723.0], [1073.0, 1716.0]], ('$1969.69', 0.9776538610458374)], [[[310.0, 1818.0], [559.0, 1829.0], [557.0, 1886.0], [308.0, 1875.0]], ('Gratuity', 0.9902629852294922)], [[[309.0, 1987.0], [480.0, 1987.0], [480.0, 2054.0], [309.0, 2054.0]], ('Total:', 0.9396324157714844)], [[[303.0, 2248.0], [555.0, 2248.0], [555.0, 2305.0], [303.0, 2305.0]], ('Signature', 0.9963905811309814)], [[[609.0, 2671.0], [980.0, 2682.0], [978.0, 2739.0], [608.0, 2729.0]], ('Customer Copy', 0.9705114960670471)]]	{"store_name": "ANYRESTAURANT", "store_addr": "", "telephone": "(69)69696969", "date": "02/02/2014", "time": "11:11", "subtotal": "$1969.69", "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	[[[[101.0, 36.0], [259.0, 29.0], [259.0, 46.0], [101.0, 53.0]], ('UNICO AUTO DETAILING', 0.9534651041030884)], [[[115.0, 54.0], [246.0, 47.0], [246.0, 61.0], [116.0, 67.0]], ('1347 CROMWELL AVENUE', 0.9463841319084167)], [[[136.0, 66.0], [226.0, 62.0], [227.0, 75.0], [137.0, 79.0]], ('BRONX.NY10452', 0.9476816654205322)], [[[151.0, 79.0], [214.0, 76.0], [215.0, 89.0], [152.0, 92.0]], ('9293289673', 0.9963730573654175)], [[[69.0, 97.0], [152.0, 92.0], [153.0, 105.0], [70.0, 111.0]], ('Cashier:BIELKA', 0.9368193745613098)], [[[71.0, 110.0], [189.0, 104.0], [190.0, 117.0], [72.0, 124.0]], ('18-May-2018 10:45:37A', 0.9345594048500061)], [[[91.0, 132.0], [150.0, 129.0], [150.0, 143.0], [91.0, 146.0]], ('STANDARD', 0.9941259026527405)], [[[251.0, 123.0], [294.0, 119.0], [295.0, 134.0], [252.0, 138.0]], ('$125.00', 0.9936926960945129)], [[[88.0, 143.0], [159.0, 143.0], [159.0, 154.0], [88.0, 154.0]], ('Custom item', 0.8881650567054749)], [[[255.0, 137.0], [294.0, 133.0], [295.0, 148.0], [256.0, 152.0]], ('$85.00', 0.9916741251945496)], [[[76.0, 166.0], [121.0, 164.0], [122.0, 178.0], [77.0, 180.0]], ('Subtotal', 0.9939754009246826)], [[[255.0, 158.0], [297.0, 156.0], [298.0, 170.0], [256.0, 172.0]], ('$210.00', 0.9947839975357056)], [[[78.0, 179.0], [98.0, 179.0], [98.0, 191.0], [78.0, 191.0]], ('Tax', 0.9942906498908997)], [[[260.0, 170.0], [299.0, 168.0], [300.0, 182.0], [261.0, 184.0]], ('$18.64', 0.9938988089561462)], [[[75.0, 203.0], [105.0, 200.0], [106.0, 215.0], [76.0, 218.0]], ('Total', 0.9975953102111816)], [[[257.0, 195.0], [302.0, 193.0], [303.0, 206.0], [258.0, 209.0]], ('$228.64', 0.9881634712219238)], [[[75.0, 221.0], [136.0, 217.0], [137.0, 231.0], [76.0, 235.0]], ('CASH SALE', 0.9639166593551636)], [[[259.0, 214.0], [305.0, 210.0], [306.0, 224.0], [260.0, 228.0]], ('$228.64', 0.9936955571174622)], [[[75.0, 233.0], [151.0, 231.0], [151.0, 245.0], [75.0, 247.0]], ('Cash tendered', 0.9686664938926697)], [[[260.0, 227.0], [306.0, 224.0], [307.0, 238.0], [260.0, 240.0]], ('$240.00', 0.9944933652877808)], [[[75.0, 247.0], [119.0, 247.0], [119.0, 261.0], [75.0, 261.0]], ('Change', 0.996723473072052)], [[[268.0, 240.0], [309.0, 236.0], [310.0, 251.0], [269.0, 254.0]], ('$11.36', 0.9860017895698547)], [[[74.0, 274.0], [197.0, 270.0], [198.0, 284.0], [74.0, 288.0]], ('Order RJN981NCCF1D6', 0.9591041207313538)], [[[121.0, 301.0], [268.0, 295.0], [268.0, 309.0], [122.0, 315.0]], ('Onlinehttps:/clover.com/p', 0.941947340965271)], [[[144.0, 315.0], [248.0, 309.0], [248.0, 323.0], [145.0, 328.0]], ('/PSH2X4DW36GBJ', 0.9828165173530579)]]	{"store_name": "UNICOAUTODETAILING", "store_addr": "1347CROMWELLAVENUE BRONX,NY10452", "telephone": "9293289673", "date": "18-May-2018", "time": "10:45:37A", "subtotal": "$210.00", "tax": "$18.64", "total": "$228.64", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "STANDARD", "item_value": "$125.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Customitem", "item_value": "$85.00", "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, 43.0], [188.0, 43.0], [188.0, 62.0], [89.0, 62.0]], ('0002', 0.7537939548492432)], [[[216.0, 42.0], [333.0, 38.0], [334.0, 62.0], [217.0, 65.0]], ('Table 997', 0.8872582912445068)], [[[84.0, 66.0], [177.0, 66.0], [177.0, 89.0], [84.0, 89.0]], ('JULIA E', 0.9659468531608582)], [[[238.0, 65.0], [573.0, 63.0], [573.0, 88.0], [238.0, 91.0]], ('SvrCk211:34a 03/09/14', 0.9341208338737488)], [[[75.0, 116.0], [235.0, 113.0], [236.0, 138.0], [76.0, 142.0]], ('1NAME15-14', 0.9770838618278503)], [[[560.0, 114.0], [621.0, 114.0], [621.0, 142.0], [560.0, 142.0]], ('0.00', 0.9632126688957214)], [[[71.0, 143.0], [167.0, 143.0], [167.0, 170.0], [71.0, 170.0]], ('COKES', 0.9312025308609009)], [[[562.0, 143.0], [624.0, 143.0], [624.0, 171.0], [562.0, 171.0]], ('5.00', 0.9934327602386475)], [[[141.0, 172.0], [506.0, 170.0], [506.0, 198.0], [141.0, 201.0]], ('ON BURGER BUR, burger mods,', 0.8989756107330322)], [[[163.0, 206.0], [423.0, 201.0], [423.0, 230.0], [164.0, 235.0]], ('cheddar, add bacon,', 0.9285447001457214)], [[[555.0, 229.0], [629.0, 229.0], [629.0, 260.0], [555.0, 260.0]], ('13.75', 0.9958941340446472)], [[[161.0, 243.0], [302.0, 240.0], [302.0, 265.0], [162.0, 269.0]], ('sour cream', 0.9636044502258301)], [[[122.0, 273.0], [503.0, 268.0], [503.0, 296.0], [122.0, 302.0]], ('LL FIGHTER BUR,burger mods', 0.9115591049194336)], [[[108.0, 305.0], [507.0, 304.0], [507.0, 333.0], [108.0, 334.0]], ('add mozzarella add cheddar,', 0.9150820970535278)], [[[106.0, 339.0], [455.0, 344.0], [455.0, 369.0], [106.0, 365.0]], ('add bacon,add sour cream', 0.9415866732597351)], [[[553.0, 332.0], [627.0, 332.0], [627.0, 364.0], [553.0, 364.0]], ('14.50', 0.9960471987724304)], [[[372.0, 400.0], [514.0, 402.0], [513.0, 429.0], [372.0, 427.0]], ('Sub Total:', 0.9120882749557495)], [[[554.0, 400.0], [629.0, 400.0], [629.0, 431.0], [554.0, 431.0]], ('33.25', 0.9933183789253235)], [[[330.0, 429.0], [378.0, 433.0], [376.0, 462.0], [328.0, 459.0]], ('Tax', 0.9964204430580139)], [[[569.0, 433.0], [632.0, 433.0], [632.0, 462.0], [569.0, 462.0]], ('3.24', 0.9933937788009644)], [[[373.0, 467.0], [518.0, 467.0], [518.0, 493.0], [373.0, 493.0]], ('Sub Total:', 0.9097036123275757)], [[[559.0, 467.0], [634.0, 467.0], [634.0, 494.0], [559.0, 494.0]], ('36.49', 0.9974897503852844)], [[[52.0, 502.0], [393.0, 502.0], [393.0, 528.0], [52.0, 528.0]], ('03/09 12:01pTOTAL', 0.9461417198181152)], [[[492.0, 501.0], [635.0, 501.0], [635.0, 527.0], [492.0, 527.0]], ('36.49', 0.9870465397834778)], [[[290.0, 566.0], [670.0, 569.0], [670.0, 602.0], [290.0, 599.0]], ('YO MAMA JOKE', 0.9340068697929382)], [[[80.0, 682.0], [614.0, 682.0], [614.0, 710.0], [80.0, 710.0]], ('The only reason yo mama got pregnant', 0.9431976675987244)], [[[172.0, 720.0], [480.0, 720.0], [480.0, 746.0], [172.0, 746.0]], ("is she didn't want to", 0.9325584173202515)], [[[183.0, 754.0], [451.0, 752.0], [452.0, 782.0], [183.0, 784.0]], ('smear her lipstick', 0.9582027792930603)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "03/09/14 03/09", "time": "12:01p", "subtotal": "33.25", "tax": "3.24", "total": "36.49 36.49", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "NAME,15-14", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "cheddar,addbacon,", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "sourcream", "item_value": "13.75", "item_quantity": "1"}, {"item_key": "", "item_name": "addmozzarella,addcheddar,", "item_value": "14.50", "item_quantity": "1"}, {"item_key": "", "item_name": "addbacon,addsourcream", "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	[[[[677.0, 81.0], [1066.0, 87.0], [1065.0, 139.0], [676.0, 132.0]], ('07/18/1717:43', 0.9854334592819214)], [[[559.0, 174.0], [762.0, 180.0], [761.0, 226.0], [557.0, 219.0]], ('dAupa', 0.7740710973739624)], [[[284.0, 256.0], [486.0, 256.0], [486.0, 303.0], [284.0, 303.0]], ('5293502', 0.9991413950920105)], [[[597.0, 257.0], [818.0, 262.0], [817.0, 309.0], [596.0, 305.0]], ('S2716DGR', 0.9168307781219482)], [[[1200.0, 249.0], [1381.0, 242.0], [1383.0, 295.0], [1202.0, 302.0]], ('319.99', 0.9978136420249939)], [[[341.0, 311.0], [1258.0, 311.0], [1258.0, 368.0], [341.0, 368.0]], ('DELL 27 GAMING MONIT0R -S2716DGR', 0.9206624031066895)], [[[378.0, 373.0], [556.0, 373.0], [556.0, 413.0], [378.0, 413.0]], ('66669', 0.9596439599990845)], [[[534.0, 371.0], [843.0, 375.0], [843.0, 421.0], [534.0, 417.0]], ('Was Price', 0.9506734013557434)], [[[378.0, 426.0], [1025.0, 430.0], [1025.0, 474.0], [378.0, 470.0]], ('280.O0-PRICE MATCH COMP', 0.9288967847824097)], [[[353.0, 477.0], [610.0, 482.0], [609.0, 527.0], [352.0, 523.0]], ('Sales Tax', 0.9662504196166992)], [[[943.0, 481.0], [1082.0, 481.0], [1082.0, 529.0], [943.0, 529.0]], ('27.52', 0.9953004717826843)], [[[894.0, 581.0], [1099.0, 590.0], [1098.0, 635.0], [893.0, 627.0]], ('Subtotal', 0.9932962656021118)], [[[1183.0, 589.0], [1364.0, 593.0], [1363.0, 641.0], [1182.0, 636.0]], ('319.99', 0.9944154620170593)], [[[867.0, 630.0], [1102.0, 643.0], [1099.0, 690.0], [865.0, 678.0]], ('Sales Tax', 0.962040901184082)], [[[1210.0, 644.0], [1361.0, 651.0], [1359.0, 700.0], [1208.0, 693.0]], ('27.52', 0.9953557252883911)], [[[964.0, 736.0], [1094.0, 746.0], [1091.0, 795.0], [961.0, 785.0]], ('Total', 0.9980150461196899)], [[[1177.0, 748.0], [1350.0, 759.0], [1347.0, 812.0], [1174.0, 800.0]], ('347.51', 0.9931171536445618)], [[[766.0, 825.0], [917.0, 839.0], [913.0, 886.0], [762.0, 872.0]], ('Swiped', 0.9909182190895081)], [[[955.0, 840.0], [1063.0, 848.0], [1059.0, 899.0], [952.0, 892.0]], ('USDS', 0.9035749435424805)], [[[1169.0, 857.0], [1344.0, 875.0], [1338.0, 930.0], [1163.0, 912.0]], ('347.51', 0.9918792247772217)], [[[731.0, 1076.0], [1068.0, 1138.0], [1059.0, 1189.0], [722.0, 1126.0]], ('Other Savings:', 0.9607969522476196)], [[[733.0, 1135.0], [1073.0, 1202.0], [1057.0, 1281.0], [718.0, 1214.0]], ('Total Savings:', 0.9268562197685242)], [[[1154.0, 1152.0], [1334.0, 1181.0], [1327.0, 1230.0], [1147.0, 1201.0]], ('280.00', 0.9886965155601501)], [[[1153.0, 1205.0], [1338.0, 1240.0], [1323.0, 1323.0], [1137.0, 1288.0]], ('280.00', 0.9910333156585693)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "07/18/17", "time": "17:43", "subtotal": "319.99", "tax": "27.52 27.52", "total": "347.51", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "DELL27GAMINGMONITOR-S2716DGR", "item_value": "319.99", "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	[[[[264.0, 57.0], [516.0, 57.0], [516.0, 105.0], [264.0, 105.0]], ('RETURN', 0.9962978363037109)], [[[32.0, 164.0], [259.0, 164.0], [259.0, 205.0], [32.0, 205.0]], ('MID:204278', 0.9529337882995605)], [[[32.0, 217.0], [196.0, 217.0], [196.0, 260.0], [32.0, 260.0]], ('TID:246', 0.9491571187973022)], [[[452.0, 220.0], [741.0, 220.0], [741.0, 257.0], [452.0, 257.0]], ('REF#:00000007', 0.9639893770217896)], [[[34.0, 272.0], [289.0, 272.0], [289.0, 313.0], [34.0, 313.0]], ('Batch#006', 0.9902915954589844)], [[[32.0, 325.0], [180.0, 325.0], [180.0, 368.0], [32.0, 368.0]], ('07/20/17', 0.9986473321914673)], [[[608.0, 322.0], [747.0, 326.0], [745.0, 371.0], [607.0, 366.0]], ('09:01:40', 0.974138617515564)], [[[661.0, 370.0], [753.0, 385.0], [744.0, 436.0], [652.0, 421.0]], ('Chip', 0.9985496997833252)], [[[30.0, 381.0], [303.0, 377.0], [304.0, 418.0], [31.0, 422.0]], ('MASTERCARD', 0.9966942071914673)], [[[204.0, 432.0], [305.0, 432.0], [305.0, 477.0], [204.0, 477.0]], ('4111', 0.9783058762550354)], [[[666.0, 432.0], [731.0, 436.0], [728.0, 471.0], [664.0, 466.0]], ('j*', 0.7782505750656128)], [[[35.0, 555.0], [301.0, 551.0], [302.0, 599.0], [36.0, 603.0]], ('AMOUNT', 0.9945929050445557)], [[[562.0, 551.0], [750.0, 551.0], [750.0, 606.0], [562.0, 606.0]], ('$39.52', 0.998910665512085)], [[[286.0, 740.0], [500.0, 740.0], [500.0, 782.0], [286.0, 782.0]], ('APPROVED', 0.9970231652259827)], [[[104.0, 861.0], [134.0, 861.0], [134.0, 901.0], [104.0, 901.0]], ('X', 0.8179967403411865)], [[[164.0, 916.0], [621.0, 916.0], [621.0, 956.0], [164.0, 956.0]], ('MERCHANT SIGNATURE', 0.9713404774665833)], [[[36.0, 1025.0], [350.0, 1021.0], [350.0, 1062.0], [36.0, 1066.0]], ('MasterCardCredit', 0.998131275177002)], [[[37.0, 1078.0], [421.0, 1074.0], [422.0, 1116.0], [38.0, 1119.0]], ('AID:A0000000041010', 0.970787763595581)], [[[148.0, 1186.0], [632.0, 1186.0], [632.0, 1221.0], [148.0, 1221.0]], ('I AGREE TO PAT ABOVE TOTAL AWOUNT', 0.9090306162834167)], [[[159.0, 1228.0], [630.0, 1228.0], [630.0, 1262.0], [159.0, 1262.0]], ("IN ACCORDANCE WITH CARD ISSUER'S", 0.94451504945755)], [[[323.0, 1267.0], [461.0, 1267.0], [461.0, 1303.0], [323.0, 1303.0]], ('AGREEMENT', 0.940008282661438)], [[[120.0, 1310.0], [670.0, 1310.0], [670.0, 1345.0], [120.0, 1345.0]], ('MERCHANT AGREEMENT IF CREDIT VOUCHER', 0.9560372829437256)], [[[170.0, 1350.0], [614.0, 1348.0], [614.0, 1384.0], [170.0, 1386.0]], ('RETAIN THIS COPY FOR STATEMENT', 0.9518287777900696)], [[[302.0, 1388.0], [486.0, 1388.0], [486.0, 1429.0], [302.0, 1429.0]], ('VERIFICATIONE', 0.9452472925186157)], [[[177.0, 1471.0], [612.0, 1469.0], [613.0, 1510.0], [177.0, 1512.0]], ('THANK YOU MERCI!', 0.9040683507919312)], [[[223.0, 1581.0], [566.0, 1581.0], [566.0, 1617.0], [223.0, 1617.0]], ('MERCHANT COPY', 0.9706335067749023)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "07/20/17", "time": "09:01:40", "subtotal": "", "tax": "", "total": "$39.52", "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	[[[[96.0, 8.0], [454.0, 11.0], [454.0, 56.0], [96.0, 54.0]], ('SAFEWAY', 0.9930645227432251)], [[[81.0, 85.0], [601.0, 92.0], [601.0, 113.0], [80.0, 106.0]], ('STORE MGR MICHAELGRAVELL 925-689-2044', 0.9371994733810425)], [[[122.0, 111.0], [544.0, 118.0], [543.0, 139.0], [122.0, 132.0]], ('THANK YOUFOR SHOPPING WITH US!', 0.9405701756477356)], [[[31.0, 185.0], [69.0, 183.0], [71.0, 213.0], [34.0, 216.0]], ('MP', 0.9971322417259216)], [[[165.0, 186.0], [454.0, 190.0], [454.0, 215.0], [165.0, 211.0]], ('FUELPREPAY REDEEM', 0.9696795344352722)], [[[534.0, 188.0], [631.0, 184.0], [632.0, 210.0], [535.0, 214.0]], ('40.00-', 0.9428008198738098)], [[[80.0, 214.0], [118.0, 214.0], [118.0, 240.0], [80.0, 240.0]], ('PR', 0.9959579706192017)], [[[166.0, 216.0], [437.0, 218.0], [437.0, 240.0], [166.0, 237.0]], ('GASOLINE UNLEADED', 0.9783033728599548)], [[[533.0, 215.0], [617.0, 211.0], [618.0, 237.0], [534.0, 241.0]], ('25.00', 0.9984855651855469)], [[[50.0, 267.0], [326.0, 270.0], [326.0, 292.0], [49.0, 288.0]], ('GASOLINE UNLEADED', 0.9742841124534607)], [[[341.0, 269.0], [641.0, 260.0], [642.0, 288.0], [342.0, 297.0]], ('10.043G@$2.489P3', 0.9212121367454529)], [[[79.0, 293.0], [215.0, 295.0], [214.0, 320.0], [78.0, 318.0]], ('***TAX', 0.8457528948783875)], [[[332.0, 297.0], [377.0, 297.0], [377.0, 320.0], [332.0, 320.0]], ('.00', 0.979645311832428)], [[[403.0, 296.0], [456.0, 296.0], [456.0, 320.0], [403.0, 320.0]], ('BAL', 0.9980358481407166)], [[[538.0, 293.0], [637.0, 293.0], [637.0, 318.0], [538.0, 318.0]], ('15.00-', 0.9882851243019104)], [[[74.0, 343.0], [112.0, 343.0], [112.0, 372.0], [74.0, 372.0]], ('OP', 0.9792100191116333)], [[[161.0, 346.0], [231.0, 346.0], [231.0, 372.0], [161.0, 372.0]], ('CASH', 0.9980591535568237)], [[[579.0, 344.0], [626.0, 344.0], [626.0, 372.0], [579.0, 372.0]], ('.00', 0.9597272872924805)], [[[161.0, 375.0], [260.0, 375.0], [260.0, 400.0], [161.0, 400.0]], ('CHANGE', 0.9976558685302734)], [[[540.0, 374.0], [625.0, 372.0], [626.0, 398.0], [541.0, 400.0]], ('15.00', 0.9444705843925476)], [[[40.0, 428.0], [557.0, 429.0], [557.0, 454.0], [40.0, 453.0]], ('9/26/1512:2629414502861600', 0.9851792454719543)], [[[107.0, 544.0], [599.0, 543.0], [599.0, 568.0], [107.0, 569.0]], ('YOUR CASHIER TODAY WAS FABIAN', 0.9488893747329712)], [[[140.0, 632.0], [392.0, 632.0], [392.0, 657.0], [140.0, 657.0]], ('Valued Customer', 0.96271151304245)], [[[533.0, 628.0], [605.0, 628.0], [605.0, 658.0], [533.0, 658.0]], ('1759', 0.9988272786140442)], [[[11.0, 722.0], [411.0, 718.0], [412.0, 746.0], [12.0, 750.0]], ('GAS POINTS EARNED TODAY', 0.9659813046455383)], [[[6.0, 812.0], [95.0, 812.0], [95.0, 846.0], [6.0, 846.0]], ('TOTAL', 0.998650848865509)], [[[665.0, 811.0], [687.0, 811.0], [687.0, 842.0], [665.0, 842.0]], ('0', 0.7719051241874695)], [[[6.0, 880.0], [468.0, 874.0], [468.0, 899.0], [6.0, 905.0]], ('Points TowardsNext Reward', 0.9630526900291443)], [[[521.0, 872.0], [687.0, 874.0], [687.0, 903.0], [521.0, 901.0]], ('39of100', 0.9749471545219421)], [[[166.0, 941.0], [537.0, 936.0], [537.0, 961.0], [166.0, 966.0]], ('LETUS HEAR FROM YOU!', 0.936805248260498)], [[[48.0, 970.0], [597.0, 968.0], [597.0, 995.0], [49.0, 997.0]], ('1-877-723-3929 0r v1sit SAFEWAY.C0M', 0.8786885738372803)]]	{"store_name": "SAFEWAY", "store_addr": "", "telephone": "", "date": "9/26/15", "time": "12:26", "subtotal": "", "tax": ".00BAL", "total": "0", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GASOLINEUNLEADED", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GASOLINEUNLEADED", "item_value": "15.00-", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[307.0, 374.0], [812.0, 370.0], [812.0, 439.0], [307.0, 443.0]], ('WAL*MART', 0.9866726398468018)], [[[320.0, 449.0], [793.0, 447.0], [793.0, 473.0], [320.0, 475.0]], ('ALWAYS LOW PRICES ALWAYS WAL-MART', 0.9483813047409058)], [[[441.0, 492.0], [660.0, 485.0], [665.0, 598.0], [445.0, 606.0]], ('Always', 0.8700577616691589)], [[[429.0, 644.0], [656.0, 642.0], [656.0, 674.0], [429.0, 676.0]], ('WE SELL FOR LESS', 0.8985698819160461)], [[[410.0, 674.0], [679.0, 674.0], [679.0, 698.0], [410.0, 698.0]], ('MANAGER TIM STRYCZEK', 0.9187090992927551)], [[[415.0, 702.0], [665.0, 696.0], [666.0, 722.0], [416.0, 728.0]], ('630213-7000', 0.9538812041282654)], [[[288.0, 752.0], [797.0, 746.0], [797.0, 776.0], [288.0, 782.0]], ('ST#14200P#00000533TE#10TR#09139', 0.9303486347198486)], [[[290.0, 780.0], [402.0, 780.0], [402.0, 806.0], [290.0, 806.0]], ('GATORADE', 0.992453396320343)], [[[463.0, 778.0], [654.0, 778.0], [654.0, 802.0], [463.0, 802.0]], ('005200033831F', 0.9933275580406189)], [[[711.0, 775.0], [798.0, 770.0], [799.0, 798.0], [712.0, 803.0]], ('2.07E', 0.9534450769424438)], [[[288.0, 806.0], [362.0, 806.0], [362.0, 832.0], [288.0, 832.0]], ('CANOY', 0.989828884601593)], [[[461.0, 804.0], [650.0, 804.0], [650.0, 828.0], [461.0, 828.0]], ('004000006002F', 0.988427996635437)], [[[715.0, 802.0], [799.0, 802.0], [799.0, 828.0], [715.0, 828.0]], ('4.36K', 0.9752293825149536)], [[[431.0, 832.0], [625.0, 832.0], [625.0, 856.0], [431.0, 856.0]], ('X031254742855', 0.9503676891326904)], [[[712.0, 826.0], [801.0, 831.0], [800.0, 859.0], [711.0, 854.0]], ('4.48K', 0.9768770337104797)], [[[290.0, 836.0], [412.0, 836.0], [412.0, 856.0], [290.0, 856.0]], ('LISTERINE', 0.9942457675933838)], [[[292.0, 862.0], [425.0, 862.0], [425.0, 882.0], [292.0, 882.0]], ('ODOR EATER', 0.9584380984306335)], [[[463.0, 858.0], [625.0, 858.0], [625.0, 882.0], [463.0, 882.0]], ('001150900446', 0.9948535561561584)], [[[713.0, 854.0], [801.0, 854.0], [801.0, 882.0], [713.0, 882.0]], ('4.76E', 0.9366909861564636)], [[[288.0, 886.0], [400.0, 886.0], [400.0, 912.0], [288.0, 912.0]], ('GEL SOLE', 0.9679179191589355)], [[[461.0, 884.0], [625.0, 884.0], [625.0, 908.0], [461.0, 908.0]], ('001101731405', 0.9945923686027527)], [[[713.0, 880.0], [801.0, 880.0], [801.0, 908.0], [713.0, 908.0]], ('8.97E', 0.8962945938110352)], [[[528.0, 908.0], [635.0, 908.0], [635.0, 934.0], [528.0, 934.0]], ('SUBTOTAL', 0.9916191101074219)], [[[703.0, 907.0], [774.0, 907.0], [774.0, 934.0], [703.0, 934.0]], ('24.64', 0.9808675646781921)], [[[410.0, 938.0], [478.0, 938.0], [478.0, 959.0], [410.0, 959.0]], ('TAX1', 0.81794273853302)], [[[512.0, 937.0], [617.0, 932.0], [618.0, 958.0], [514.0, 963.0]], ('6.250%', 0.9371841549873352)], [[[707.0, 933.0], [774.0, 933.0], [774.0, 961.0], [707.0, 961.0]], ('0.99', 0.9926767945289612)], [[[408.0, 961.0], [482.0, 961.0], [482.0, 987.0], [408.0, 987.0]], ('TAX3', 0.8479229807853699)], [[[512.0, 961.0], [615.0, 956.0], [616.0, 983.0], [514.0, 987.0]], ('2.000%', 0.9802205562591553)], [[[713.0, 957.0], [772.0, 957.0], [772.0, 985.0], [713.0, 985.0]], ('0.49', 0.9327999353408813)], [[[566.0, 985.0], [637.0, 985.0], [637.0, 1011.0], [566.0, 1011.0]], ('TOTAL', 0.9386554956436157)], [[[702.0, 983.0], [772.0, 983.0], [772.0, 1011.0], [702.0, 1011.0]], ('26.12', 0.9370154142379761)], [[[499.0, 1011.0], [566.0, 1011.0], [566.0, 1037.0], [499.0, 1037.0]], ('VESA', 0.9643176198005676)], [[[566.0, 1013.0], [637.0, 1013.0], [637.0, 1033.0], [566.0, 1033.0]], ('TEND', 0.9927403330802917)], [[[699.0, 1009.0], [771.0, 1005.0], [773.0, 1033.0], [701.0, 1037.0]], ('26.12', 0.9867337346076965)], [[[290.0, 1093.0], [494.0, 1093.0], [494.0, 1117.0], [290.0, 1117.0]], ('APPROVAL 04562', 0.9381799697875977)], [[[290.0, 1119.0], [505.0, 1119.0], [505.0, 1143.0], [290.0, 1143.0]], ('TRANS 1D-001304', 0.9195253849029541)], [[[568.0, 1113.0], [639.0, 1113.0], [639.0, 1141.0], [568.0, 1141.0]], ('99352', 0.982433021068573)], [[[286.0, 1143.0], [507.0, 1141.0], [507.0, 1167.0], [286.0, 1169.0]], ('VALIDATION-DPTT', 0.9762346744537354)], [[[286.0, 1167.0], [498.0, 1169.0], [497.0, 1195.0], [286.0, 1193.0]], ('PAYMENT SERVICE', 0.9633930921554565)], [[[501.0, 1193.0], [639.0, 1193.0], [639.0, 1219.0], [501.0, 1219.0]], ('CHANGE DUE', 0.9604217410087585)], [[[711.0, 1193.0], [774.0, 1193.0], [774.0, 1219.0], [711.0, 1219.0]], ('0.00', 0.9916900992393494)], [[[341.0, 1249.0], [715.0, 1249.0], [715.0, 1288.0], [341.0, 1288.0]], ('#ITEMS SOLD5', 0.9596853852272034)], [[[339.0, 1340.0], [722.0, 1334.0], [723.0, 1366.0], [340.0, 1372.0]], ('TC5288964795796887970', 0.9630051851272583)], [[[392.0, 1465.0], [506.0, 1461.0], [507.0, 1487.0], [393.0, 1491.0]], ('02/14/03', 0.9938602447509766)], [[[566.0, 1467.0], [673.0, 1467.0], [673.0, 1487.0], [566.0, 1487.0]], ('09:46:31', 0.9361326694488525)], [[[410.0, 1517.0], [663.0, 1517.0], [663.0, 1541.0], [410.0, 1541.0]], ('=CUSTOMER COPY', 0.933805525302887)]]	{"store_name": "WAL\u2605MART", "store_addr": "", "telephone": "(630)213-7000", "date": "02/14/0309:46:31", "time": "", "subtotal": "24.64", "tax": "6.250% 0.99 0.49", "total": "26.12 26.12", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GATORADE", "item_value": "2.07", "item_quantity": "1"}, {"item_key": "", "item_name": "CANOY", "item_value": "4.36", "item_quantity": "1"}, {"item_key": "", "item_name": "LISTERINE", "item_value": "4.48", "item_quantity": "1"}, {"item_key": "", "item_name": "ODOREATER", "item_value": "4.76", "item_quantity": "1"}, {"item_key": "", "item_name": "GELSOLE", "item_value": "8.97", "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	[[[[22.0, 9.0], [430.0, 11.0], [430.0, 87.0], [22.0, 85.0]], ('Walmart', 0.9719504117965698)], [[[24.0, 103.0], [434.0, 99.0], [434.0, 130.0], [24.0, 134.0]], ('Save money.Live better', 0.9714755415916443)], [[[94.0, 154.0], [423.0, 157.0], [423.0, 199.0], [94.0, 195.0]], ('Self Checkout', 0.9598783254623413)], [[[194.0, 213.0], [421.0, 217.0], [421.0, 251.0], [193.0, 247.0]], ('Fast.Fun.Easy', 0.9826732277870178)], [[[245.0, 288.0], [338.0, 288.0], [338.0, 312.0], [245.0, 312.0]], ('Walmart', 0.9882335066795349)], [[[184.0, 315.0], [411.0, 315.0], [411.0, 336.0], [184.0, 336.0]], ('MANAGER LARRY BEAN', 0.9554394483566284)], [[[233.0, 363.0], [362.0, 363.0], [362.0, 387.0], [233.0, 387.0]], ('LAURELMS', 0.9908411502838135)], [[[55.0, 390.0], [540.0, 390.0], [540.0, 414.0], [55.0, 414.0]], ('ST#05010P#00009046 TE#46 TR#04180', 0.9145212173461914)], [[[54.0, 414.0], [124.0, 414.0], [124.0, 439.0], [54.0, 439.0]], ('BLOOD', 0.9835036993026733)], [[[223.0, 416.0], [372.0, 416.0], [372.0, 437.0], [223.0, 437.0]], ('002316809430', 0.969301700592041)], [[[461.0, 416.0], [542.0, 416.0], [542.0, 441.0], [461.0, 441.0]], ('1.97X', 0.9367577433586121)], [[[55.0, 439.0], [123.0, 439.0], [123.0, 464.0], [55.0, 464.0]], ('BLOOD', 0.9799011945724487)], [[[223.0, 440.0], [372.0, 440.0], [372.0, 461.0], [223.0, 461.0]], ('002316809430', 0.9990702271461487)], [[[459.0, 439.0], [542.0, 441.0], [541.0, 466.0], [458.0, 464.0]], ('1.97X', 0.9380261301994324)], [[[55.0, 464.0], [123.0, 464.0], [123.0, 489.0], [55.0, 489.0]], ('BL.OOD', 0.910524308681488)], [[[223.0, 465.0], [372.0, 465.0], [372.0, 486.0], [223.0, 486.0]], ('002316809430', 0.9992634654045105)], [[[459.0, 463.0], [542.0, 465.0], [541.0, 491.0], [458.0, 489.0]], ('1.97', 0.9953338503837585)], [[[57.0, 490.0], [397.0, 490.0], [397.0, 514.0], [57.0, 514.0]], ('STFR MAC CHS 001380010340 F', 0.9338400363922119)], [[[459.0, 489.0], [540.0, 491.0], [539.0, 516.0], [458.0, 514.0]], ('1.96T', 0.9739149212837219)], [[[56.0, 516.0], [122.0, 516.0], [122.0, 538.0], [56.0, 538.0]], ('BLOOD', 0.9920154809951782)], [[[224.0, 515.0], [372.0, 515.0], [372.0, 536.0], [224.0, 536.0]], ('002316809430', 0.9989842772483826)], [[[459.0, 513.0], [542.0, 517.0], [541.0, 542.0], [458.0, 538.0]], ('1.97X', 0.9132760763168335)], [[[55.0, 540.0], [123.0, 540.0], [123.0, 566.0], [55.0, 566.0]], ('BLOOD', 0.9929810762405396)], [[[223.0, 540.0], [372.0, 540.0], [372.0, 561.0], [223.0, 561.0]], ('002316809430', 0.9993378520011902)], [[[460.0, 538.0], [542.0, 543.0], [541.0, 569.0], [458.0, 564.0]], ('1.97X', 0.9057477116584778)], [[[283.0, 561.0], [385.0, 564.0], [384.0, 589.0], [282.0, 586.0]], ('SUBTOTAL', 0.9966810345649719)], [[[447.0, 563.0], [513.0, 566.0], [512.0, 592.0], [446.0, 589.0]], ('11.81', 0.9979658126831055)], [[[170.0, 590.0], [239.0, 590.0], [239.0, 616.0], [170.0, 616.0]], ('TAX 1', 0.8987398147583008)], [[[269.0, 590.0], [363.0, 590.0], [363.0, 614.0], [269.0, 614.0]], ('7.000%', 0.9897380471229553)], [[[458.0, 589.0], [514.0, 592.0], [513.0, 618.0], [456.0, 615.0]], ('0.83', 0.99748694896698)], [[[321.0, 614.0], [384.0, 614.0], [384.0, 639.0], [321.0, 639.0]], ('TOTAL', 0.9979711771011353)], [[[447.0, 614.0], [514.0, 617.0], [513.0, 643.0], [446.0, 640.0]], ('12.64', 0.997287392616272)], [[[257.0, 638.0], [388.0, 641.0], [388.0, 668.0], [256.0, 665.0]], ('CASH TEND', 0.9548312425613403)], [[[446.0, 639.0], [514.0, 642.0], [513.0, 668.0], [445.0, 665.0]], ('20.00', 0.9978040456771851)], [[[258.0, 666.0], [385.0, 669.0], [385.0, 693.0], [257.0, 691.0]], ('CHANGE DUE', 0.9548684358596802)], [[[460.0, 668.0], [514.0, 668.0], [514.0, 693.0], [460.0, 693.0]], ('7.36', 0.9966523051261902)], [[[119.0, 721.0], [476.0, 723.0], [475.0, 763.0], [119.0, 761.0]], ('#ITEMS SOLD 6', 0.9301689863204956)]]	{"store_name": "Walmart Walmart", "store_addr": "LAUREL,MS", "telephone": "", "date": "", "time": "", "subtotal": "11.81", "tax": "0.83", "total": "12.64", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BLOOD", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BLOOD", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BLOOD", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "STFRMACCHS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BLOOD", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BLOOD", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1.97", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1.97", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1.97", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1.96", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1.97", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1.97", "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	[[[[85.0, 72.0], [237.0, 81.0], [235.0, 105.0], [84.0, 96.0]], ('OUTBACK', 0.9738002419471741)], [[[81.0, 110.0], [125.0, 118.0], [124.0, 128.0], [79.0, 120.0]], ('MATTHEML', 0.8952200412750244)], [[[78.0, 125.0], [143.0, 133.0], [141.0, 146.0], [76.0, 138.0]], ('1 COLDBEVERASE', 0.8568016886711121)], [[[79.0, 134.0], [123.0, 141.0], [122.0, 152.0], [77.0, 145.0]], ('114STRIP', 0.8804241418838501)], [[[108.0, 192.0], [209.0, 194.0], [209.0, 208.0], [107.0, 206.0]], ('and enter the tollowing', 0.8688197731971741)], [[[110.0, 184.0], [211.0, 187.0], [211.0, 198.0], [109.0, 195.0]], ('Donload the Outback Aco', 0.9028280377388)], [[[134.0, 214.0], [188.0, 214.0], [188.0, 224.0], [134.0, 224.0]], ('PZWSYB', 0.9874274134635925)], [[[171.0, 274.0], [218.0, 274.0], [218.0, 285.0], [171.0, 285.0]], ('Sub Total', 0.8549675941467285)], [[[229.0, 272.0], [255.0, 272.0], [255.0, 283.0], [229.0, 283.0]], ('.48', 0.7949649691581726)], [[[158.0, 284.0], [178.0, 284.0], [178.0, 295.0], [158.0, 295.0]], ('TAX', 0.9905946850776672)], [[[237.0, 282.0], [255.0, 282.0], [255.0, 293.0], [237.0, 293.0]], ('457', 0.5776118636131287)], [[[66.0, 293.0], [182.0, 294.0], [181.0, 308.0], [66.0, 307.0]], ('05/068:43pTOTAL', 0.9233526587486267)], [[[206.0, 294.0], [256.0, 291.0], [257.0, 305.0], [207.0, 308.0]], ('34.05', 0.966888427734375)], [[[65.0, 317.0], [147.0, 317.0], [147.0, 331.0], [65.0, 331.0]], ('Tip Not Included', 0.8858769536018372)], [[[65.0, 331.0], [119.0, 331.0], [119.0, 346.0], [65.0, 346.0]], ('Tip Guide', 0.9125544428825378)], [[[106.0, 344.0], [123.0, 344.0], [123.0, 357.0], [106.0, 357.0]], ('15%', 0.9713273048400879)], [[[149.0, 343.0], [171.0, 343.0], [171.0, 355.0], [149.0, 355.0]], ('5.11', 0.9295789003372192)], [[[106.0, 357.0], [124.0, 357.0], [124.0, 370.0], [106.0, 370.0]], ('18%', 0.9219064712524414)], [[[148.0, 354.0], [173.0, 354.0], [173.0, 369.0], [148.0, 369.0]], ('6.13', 0.9889185428619385)], [[[105.0, 370.0], [125.0, 370.0], [125.0, 384.0], [105.0, 384.0]], ('20%', 0.9534590840339661)], [[[149.0, 367.0], [173.0, 367.0], [173.0, 382.0], [149.0, 382.0]], ('6.81', 0.9831560254096985)], [[[305.0, 385.0], [335.0, 381.0], [336.0, 392.0], [306.0, 396.0]], ('Che', 0.993699312210083)], [[[214.0, 402.0], [249.0, 402.0], [249.0, 421.0], [214.0, 421.0]], ('nQ', 0.5390468835830688)]]	{"store_name": "OUTBACK", "store_addr": "", "telephone": "", "date": "05/06/16 05/06", "time": "8:43p", "subtotal": "", "tax": "", "total": "34.05", "ignore": " ", "tips": "5.11 6.13 6.81", "line_items": [{"item_key": "", "item_name": "14STRIP", "item_value": "4,49", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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	[[[[54.0, 20.0], [184.0, 17.0], [184.0, 31.0], [55.0, 34.0]], ('SocieteC.MIISUI S.A.', 0.8491190075874329)], [[[54.0, 35.0], [186.0, 31.0], [187.0, 45.0], [55.0, 49.0]], ('I.V.A.BE0887.030.257', 0.9303308725357056)], [[[81.0, 49.0], [159.0, 47.0], [159.0, 61.0], [81.0, 63.0]], ('SiteKABUKI', 0.8865360021591187)], [[[66.0, 80.0], [177.0, 80.0], [177.0, 94.0], [66.0, 94.0]], ('RESTAURANT JAPONAIS', 0.9791086912155151)], [[[89.0, 95.0], [159.0, 95.0], [159.0, 122.0], [89.0, 122.0]], ('KABUKI', 0.9941306114196777)], [[[55.0, 122.0], [209.0, 121.0], [210.0, 135.0], [55.0, 136.0]], ('RUE DU MARCHE AUX POULET 32', 0.9245285987854004)], [[[84.0, 138.0], [166.0, 138.0], [166.0, 152.0], [84.0, 152.0]], ('1000 BRUXELLES', 0.9204027056694031)], [[[74.0, 152.0], [170.0, 152.0], [170.0, 166.0], [74.0, 166.0]], ('TEL02.218.86.96', 0.9834039807319641)], [[[13.0, 184.0], [243.0, 181.0], [243.0, 194.0], [13.0, 197.0]], ('***************************************', 0.8147158622741699)], [[[78.0, 199.0], [167.0, 197.0], [167.0, 210.0], [78.0, 212.0]], ('ADDITION', 0.9351589679718018)], [[[14.0, 212.0], [242.0, 209.0], [242.0, 225.0], [14.0, 228.0]], ('*****************************', 0.6161856055259705)], [[[20.0, 230.0], [68.0, 230.0], [68.0, 241.0], [20.0, 241.0]], ('TABLE:17', 0.93598473072052)], [[[222.0, 227.0], [247.0, 227.0], [247.0, 239.0], [222.0, 239.0]], ('31/0', 0.9975559711456299)], [[[16.0, 243.0], [53.0, 243.0], [53.0, 257.0], [16.0, 257.0]], ('8/2016', 0.9948319792747498)], [[[22.0, 256.0], [181.0, 252.0], [181.0, 266.0], [22.0, 270.0]], ('VOUS AVEZ ETE SERVI PAR JED', 0.9186520576477051)], [[[28.0, 286.0], [37.0, 286.0], [37.0, 296.0], [28.0, 296.0]], ('1', 0.9365168213844299)], [[[55.0, 283.0], [147.0, 283.0], [147.0, 296.0], [55.0, 296.0]], ('ILChaudfontaine', 0.962274432182312)], [[[155.0, 280.0], [234.0, 279.0], [234.0, 294.0], [155.0, 295.0]], ('6,606.60A', 0.8824816346168518)], [[[28.0, 297.0], [37.0, 303.0], [30.0, 313.0], [22.0, 307.0]], ('4', 0.7045201063156128)], [[[52.0, 297.0], [91.0, 297.0], [91.0, 311.0], [52.0, 311.0]], ('buffet', 0.9907383322715759)], [[[155.0, 295.0], [234.0, 295.0], [234.0, 309.0], [155.0, 309.0]], ('18.9075.60B', 0.8638613224029541)], [[[8.0, 328.0], [70.0, 325.0], [72.0, 354.0], [9.0, 357.0]], ('TOTAL', 0.9984908103942871)], [[[137.0, 324.0], [201.0, 324.0], [201.0, 354.0], [137.0, 354.0]], ('82,20', 0.9604814648628235)], [[[32.0, 387.0], [64.0, 387.0], [64.0, 406.0], [32.0, 406.0]], ('CODE', 0.9981052875518799)], [[[97.0, 386.0], [128.0, 386.0], [128.0, 405.0], [97.0, 405.0]], ('HTVA', 0.9841298460960388)], [[[160.0, 385.0], [183.0, 385.0], [183.0, 402.0], [160.0, 402.0]], ('TVA', 0.9968709945678711)], [[[211.0, 381.0], [237.0, 381.0], [237.0, 401.0], [211.0, 401.0]], ('TTC', 0.7598106265068054)], [[[11.0, 392.0], [20.0, 392.0], [20.0, 404.0], [11.0, 404.0]], ('#', 0.9895980358123779)], [[[5.0, 426.0], [71.0, 424.0], [71.0, 442.0], [5.0, 444.0]], ('A2100%', 0.9912226796150208)], [[[97.0, 423.0], [128.0, 423.0], [128.0, 442.0], [97.0, 442.0]], ('5,45', 0.9268118143081665)], [[[154.0, 420.0], [185.0, 420.0], [185.0, 439.0], [154.0, 439.0]], ('1,15', 0.9274001121520996)], [[[207.0, 418.0], [238.0, 415.0], [240.0, 434.0], [209.0, 437.0]], ('6,60', 0.9429043531417847)], [[[157.0, 440.0], [184.0, 440.0], [184.0, 449.0], [157.0, 449.0]], ('810', 0.886333703994751)], [[[207.0, 436.0], [238.0, 436.0], [238.0, 449.0], [207.0, 449.0]], ('75.60', 0.9209625124931335)]]	{"store_name": "KABUKI RESTAURANTJAPONAIS", "store_addr": "1000BRUXELLES RUEDUMARCHEAUXPOULET32", "telephone": "02.218.86.96", "date": "8/2016", "time": "", "subtotal": "", "tax": "1,15", "total": "82,20", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "buffet", "item_value": "6.60", "item_quantity": "1"}, {"item_key": "", "item_name": "ILChaudfontaine", "item_value": "75,60", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[97.0, 38.0], [221.0, 33.0], [221.0, 50.0], [98.0, 55.0]], ('De Gulden Bock', 0.9421073794364929)], [[[108.0, 59.0], [209.0, 56.0], [210.0, 71.0], [108.0, 74.0]], ('Schuttershofstraat.11', 0.9444356560707092)], [[[119.0, 80.0], [198.0, 77.0], [198.0, 90.0], [119.0, 94.0]], ('Tel 000000000000', 0.9290853142738342)], [[[124.0, 71.0], [193.0, 71.0], [193.0, 81.0], [124.0, 81.0]], ('2000 Antwerpen', 0.9661294221878052)], [[[102.0, 89.0], [211.0, 88.0], [212.0, 102.0], [103.0, 104.0]], ('B-BE 0422.318.204', 0.9293879270553589)], [[[61.0, 112.0], [189.0, 110.0], [189.0, 125.0], [61.0, 126.0]], ('T1cket4188-12-2243 P0S', 0.8970509171485901)], [[[59.0, 124.0], [175.0, 121.0], [175.0, 136.0], [60.0, 138.0]], ('Datu20/04/201615:17', 0.9621978402137756)], [[[58.0, 136.0], [112.0, 133.0], [112.0, 147.0], [59.0, 150.0]], ('Tafel:06', 0.8795102834701538)], [[[56.0, 148.0], [160.0, 146.0], [160.0, 159.0], [57.0, 161.0]], ('Bediend door:antonto', 0.922907829284668)], [[[56.0, 173.0], [64.0, 173.0], [64.0, 183.0], [56.0, 183.0]], ('#', 0.8965111374855042)], [[[86.0, 172.0], [146.0, 172.0], [146.0, 183.0], [86.0, 183.0]], ('OMSCHRIJVING', 0.9838070273399353)], [[[186.0, 169.0], [210.0, 169.0], [210.0, 185.0], [186.0, 185.0]], ('E.P.', 0.7784128785133362)], [[[231.0, 168.0], [251.0, 168.0], [251.0, 184.0], [231.0, 184.0]], ('TOT', 0.9953792095184326)], [[[49.0, 200.0], [57.0, 200.0], [57.0, 209.0], [49.0, 209.0]], ('2', 0.9032484292984009)], [[[57.0, 198.0], [164.0, 198.0], [164.0, 211.0], [57.0, 211.0]], ('1/2 Gemar ineerde za', 0.9061450958251953)], [[[186.0, 198.0], [209.0, 198.0], [209.0, 210.0], [186.0, 210.0]], ('9,00', 0.9526014924049377)], [[[220.0, 197.0], [260.0, 197.0], [260.0, 211.0], [220.0, 211.0]], ('18,00B', 0.8882669806480408)], [[[67.0, 212.0], [82.0, 212.0], [82.0, 224.0], [67.0, 224.0]], ('in', 0.568145215511322)], [[[66.0, 225.0], [138.0, 225.0], [138.0, 239.0], [66.0, 239.0]], ('1/2 groene sla', 0.9235984683036804)], [[[184.0, 224.0], [210.0, 224.0], [210.0, 239.0], [184.0, 239.0]], ('9,50', 0.9367259740829468)], [[[221.0, 225.0], [260.0, 225.0], [260.0, 239.0], [221.0, 239.0]], ('19,00B', 0.9183443188667297)], [[[63.0, 238.0], [157.0, 239.0], [157.0, 253.0], [63.0, 252.0]], ('1/2 San pe1legrino', 0.8939628601074219)], [[[184.0, 238.0], [209.0, 238.0], [209.0, 253.0], [184.0, 253.0]], ('5,00', 0.9297358989715576)], [[[224.0, 239.0], [260.0, 239.0], [260.0, 254.0], [224.0, 254.0]], ('5,00B', 0.8719771504402161)], [[[47.0, 254.0], [55.0, 254.0], [55.0, 263.0], [47.0, 263.0]], ('1', 0.9520895481109619)], [[[64.0, 252.0], [94.0, 252.0], [94.0, 267.0], [64.0, 267.0]], ('Duvel', 0.9852021336555481)], [[[185.0, 252.0], [209.0, 252.0], [209.0, 267.0], [185.0, 267.0]], ('4,50', 0.922637939453125)], [[[225.0, 253.0], [260.0, 253.0], [260.0, 268.0], [225.0, 268.0]], ('4,50A', 0.8980414271354675)], [[[47.0, 280.0], [64.0, 280.0], [64.0, 293.0], [47.0, 293.0]], ('BTW', 0.9847658276557922)], [[[70.0, 291.0], [259.0, 291.0], [259.0, 305.0], [70.0, 305.0]], ('AEur4,50Eur3,7221xEur0.78', 0.9047605991363525)], [[[60.0, 305.0], [259.0, 305.0], [259.0, 319.0], [60.0, 319.0]], ('BEur42,00Eur37.4912xEur4.51', 0.9296298027038574)], [[[50.0, 331.0], [59.0, 331.0], [59.0, 343.0], [50.0, 343.0]], ('6', 0.6103031039237976)], [[[166.0, 330.0], [220.0, 330.0], [220.0, 345.0], [166.0, 345.0]], ('Totaal Eur', 0.9267641305923462)], [[[229.0, 331.0], [258.0, 331.0], [258.0, 346.0], [229.0, 346.0]], ('46,50', 0.9426120519638062)], [[[45.0, 358.0], [100.0, 358.0], [100.0, 375.0], [45.0, 375.0]], ('Creditcard', 0.9549574851989746)], [[[231.0, 361.0], [262.0, 361.0], [262.0, 378.0], [231.0, 378.0]], ('46,50', 0.9485990405082703)], [[[115.0, 388.0], [187.0, 390.0], [186.0, 408.0], [115.0, 406.0]], ('BTW-KASTICKET', 0.9769316911697388)], [[[37.0, 416.0], [88.0, 420.0], [87.0, 438.0], [36.0, 435.0]], ('PLU hash:', 0.9124864935874939)], [[[147.0, 424.0], [192.0, 424.0], [192.0, 439.0], [147.0, 439.0]], ('ab78741b', 0.9946385622024536)], [[[36.0, 435.0], [60.0, 435.0], [60.0, 449.0], [36.0, 449.0]], ('POS:', 0.9719253778457642)], [[[147.0, 440.0], [223.0, 440.0], [223.0, 449.0], [147.0, 449.0]], ('RCON0010419601', 0.8737215995788574)]]	{"store_name": "DeGuldenBock", "store_addr": "Schuttershofstraat,11 2000Antwerpen", "telephone": "000000000000", "date": "20/04/2016", "time": "15:17", "subtotal": "", "tax": "Eur0,78 Eur4,51", "total": "46,50 46,50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Gemarineerdeza", "item_value": "18,00", "item_quantity": "1"}, {"item_key": "", "item_name": "groenesla", "item_value": "19,00", "item_quantity": "1"}, {"item_key": "", "item_name": "Duvel", "item_value": "5,00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sanpellegrino", "item_value": "4,50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[928.0, 436.0], [1407.0, 423.0], [1408.0, 472.0], [929.0, 484.0]], ('BSAW-MINNEAPOLIS', 0.988963782787323)], [[[928.0, 495.0], [1312.0, 489.0], [1312.0, 532.0], [928.0, 538.0]], ('FG27137667001', 0.9763984680175781)], [[[931.0, 549.0], [1495.0, 540.0], [1496.0, 589.0], [931.0, 598.0]], ('1221 WASHINGTON AVE', 0.9608299136161804)], [[[931.0, 606.0], [1408.0, 603.0], [1408.0, 654.0], [931.0, 657.0]], ('MINNEAPOLIS MN', 0.9675978422164917)], [[[940.0, 666.0], [1076.0, 666.0], [1076.0, 717.0], [940.0, 717.0]], ('55415', 0.9763002395629883)], [[[945.0, 723.0], [1527.0, 720.0], [1527.0, 771.0], [946.0, 774.0]], ('10/12/2018 889116514', 0.9633092880249023)], [[[944.0, 779.0], [1257.0, 788.0], [1256.0, 840.0], [942.0, 830.0]], ('11:39:01 AM', 0.8784756064414978)], [[[940.0, 893.0], [1499.0, 902.0], [1497.0, 962.0], [939.0, 953.0]], ('98E8XXXXXXXXXXXXXXX', 0.9000505208969116)], [[[940.0, 949.0], [1226.0, 969.0], [1222.0, 1028.0], [935.0, 1009.0]], ('Wright Exp', 0.9934126138687134)], [[[941.0, 1009.0], [1345.0, 1025.0], [1342.0, 1087.0], [939.0, 1072.0]], ('INVOICE 098020', 0.9655007123947144)], [[[936.0, 1069.0], [1249.0, 1085.0], [1246.0, 1142.0], [933.0, 1126.0]], ('AUTH 232121', 0.9923908710479736)], [[[936.0, 1126.0], [1223.0, 1142.0], [1219.0, 1202.0], [933.0, 1185.0]], ('OEE2IZ 00O', 0.5617603063583374)], [[[949.0, 1242.0], [1159.0, 1261.0], [1154.0, 1313.0], [944.0, 1293.0]], ('PUMP# 16', 0.9327085614204407)], [[[940.0, 1304.0], [1130.0, 1321.0], [1125.0, 1372.0], [935.0, 1356.0]], ('Regular', 0.9946072697639465)], [[[1335.0, 1317.0], [1527.0, 1317.0], [1527.0, 1366.0], [1335.0, 1366.0]], ('8.575G', 0.9716101288795471)], [[[933.0, 1365.0], [1182.0, 1381.0], [1179.0, 1432.0], [930.0, 1416.0]], ('PRICE/GAL', 0.9765365123748779)], [[[1338.0, 1377.0], [1527.0, 1377.0], [1527.0, 1428.0], [1338.0, 1428.0]], ('$2.999', 0.9877751469612122)], [[[923.0, 1487.0], [1219.0, 1497.0], [1218.0, 1545.0], [922.0, 1536.0]], ('FUEL TOTAL', 0.9900751113891602)], [[[1364.0, 1496.0], [1527.0, 1496.0], [1527.0, 1548.0], [1364.0, 1548.0]], ('25.72', 0.9978730082511902)], [[[922.0, 1616.0], [1100.0, 1616.0], [1100.0, 1667.0], [922.0, 1667.0]], ('CREDIT', 0.9871892929077148)], [[[1280.0, 1619.0], [1318.0, 1619.0], [1318.0, 1667.0], [1280.0, 1667.0]], ('$', 0.952164351940155)], [[[1367.0, 1619.0], [1530.0, 1619.0], [1530.0, 1670.0], [1367.0, 1670.0]], ('25.72', 0.9991445541381836)], [[[916.0, 1812.0], [1454.0, 1809.0], [1455.0, 1858.0], [917.0, 1861.0]], ('Customer-activated Purchase/Capture', 0.993834376335144)], [[[913.0, 1878.0], [1285.0, 1869.0], [1286.0, 1920.0], [914.0, 1929.0]], ('Site #: 0000000009629064', 0.9354457855224609)], [[[913.0, 1944.0], [1139.0, 1934.0], [1141.0, 1991.0], [915.0, 2001.0]], ('Shift Number 2', 0.9844445586204529)], [[[912.0, 2017.0], [1237.0, 1999.0], [1240.0, 2051.0], [916.0, 2069.0]], ('Sequence Number 30457', 0.963437020778656)], [[[913.0, 2080.0], [1021.0, 2080.0], [1021.0, 2136.0], [913.0, 2136.0]], ('Swiped', 0.9956741333007812)], [[[906.0, 2149.0], [1161.0, 2132.0], [1165.0, 2189.0], [910.0, 2206.0]], ('APPROVED 232121', 0.9802206754684448)], [[[912.0, 2362.0], [1318.0, 2329.0], [1322.0, 2381.0], [916.0, 2414.0]], ('Tell us about.', 0.991356372833252)], [[[908.0, 2434.0], [1255.0, 2393.0], [1262.0, 2453.0], [915.0, 2494.0]], ('your visit!', 0.9939266443252563)], [[[899.0, 2509.0], [1449.0, 2444.0], [1457.0, 2510.0], [907.0, 2574.0]], ('myexxonmobilvisit', 0.9897708892822266)], [[[911.0, 2584.0], [1046.0, 2570.0], [1052.0, 2625.0], [917.0, 2639.0]], ('.com', 0.974206805229187)]]	{"store_name": "BSAW-MINNEAPOLIS", "store_addr": "1221WASHINGTONAVE MINNEAPOLIS,MN 55415", "telephone": "", "date": "10/12/2018", "time": "11:39:01AM", "subtotal": "", "tax": "", "total": "$25.72 $25.72", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Regular", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[516.0, 56.0], [936.0, 71.0], [934.0, 120.0], [514.0, 105.0]], ('ISCELLANEOUS', 0.849773108959198)], [[[105.0, 160.0], [174.0, 160.0], [174.0, 212.0], [105.0, 212.0]], ('SC', 0.8584843873977661)], [[[381.0, 168.0], [935.0, 182.0], [934.0, 226.0], [380.0, 211.0]], ('CEN LICERNELARGE', 0.8519808053970337)], [[[1188.0, 177.0], [1384.0, 177.0], [1384.0, 226.0], [1188.0, 226.0]], ('1.00-', 0.9059123992919922)], [[[101.0, 209.0], [172.0, 214.0], [168.0, 268.0], [98.0, 263.0]], ('MC', 0.9769561290740967)], [[[379.0, 224.0], [846.0, 237.0], [845.0, 280.0], [378.0, 266.0]], ('SCANND ULIPON', 0.8296525478363037)], [[[1191.0, 235.0], [1385.0, 235.0], [1385.0, 279.0], [1191.0, 279.0]], ('1.00-F', 0.8625993728637695)], [[[97.0, 270.0], [169.0, 270.0], [169.0, 323.0], [97.0, 323.0]], ('MC', 0.992006778717041)], [[[378.0, 279.0], [846.0, 292.0], [845.0, 336.0], [376.0, 323.0]], ('SCANND SCLIPON', 0.7694715857505798)], [[[1191.0, 294.0], [1389.0, 288.0], [1390.0, 334.0], [1192.0, 339.0]], ('1.00-F', 0.9052075743675232)], [[[94.0, 326.0], [164.0, 326.0], [164.0, 380.0], [94.0, 380.0]], ('MC', 0.9927724003791809)], [[[374.0, 335.0], [849.0, 347.0], [848.0, 391.0], [373.0, 379.0]], ('SCANNEDCULIPON', 0.7667922973632812)], [[[1196.0, 347.0], [1391.0, 343.0], [1392.0, 392.0], [1197.0, 396.0]], ('1.00-F', 0.9034872055053711)], [[[91.0, 381.0], [161.0, 381.0], [161.0, 433.0], [91.0, 433.0]], ('MC', 0.9946336150169373)], [[[373.0, 392.0], [849.0, 402.0], [848.0, 446.0], [372.0, 436.0]], ('SCANNE SILIPON', 0.7585402131080627)], [[[1201.0, 403.0], [1395.0, 403.0], [1395.0, 447.0], [1201.0, 447.0]], ('1.00-F', 0.8386087417602539)], [[[365.0, 443.0], [471.0, 450.0], [469.0, 497.0], [362.0, 490.0]], ('TAX', 0.9452698826789856)], [[[732.0, 453.0], [824.0, 453.0], [824.0, 502.0], [732.0, 502.0]], ('OC', 0.8327653408050537)], [[[883.0, 457.0], [985.0, 457.0], [985.0, 504.0], [883.0, 504.0]], ('BFL', 0.763531506061554)], [[[1201.0, 458.0], [1332.0, 458.0], [1332.0, 504.0], [1201.0, 504.0]], ('2.95', 0.9893062710762024)], [[[364.0, 499.0], [507.0, 503.0], [506.0, 554.0], [362.0, 550.0]], ('CFSH', 0.8483622074127197)], [[[1202.0, 513.0], [1337.0, 513.0], [1337.0, 563.0], [1202.0, 563.0]], ('3.00', 0.9950364828109741)], [[[364.0, 619.0], [568.0, 625.0], [567.0, 670.0], [362.0, 665.0]], ('CHANGE', 0.9032909274101257)], [[[1251.0, 628.0], [1345.0, 628.0], [1345.0, 684.0], [1251.0, 684.0]], ('.05', 0.9718620181083679)], [[[362.0, 676.0], [813.0, 684.0], [812.0, 733.0], [361.0, 725.0]], ('TCTALCAINGS', 0.8067730069160461)], [[[959.0, 685.0], [1134.0, 689.0], [1133.0, 739.0], [958.0, 736.0]], ('26.15', 0.7390004992485046)], [[[113.0, 734.0], [1206.0, 749.0], [1205.0, 801.0], [112.0, 786.0]], ('7/14/1019:131483010508499', 0.9537336826324463)], [[[356.0, 922.0], [784.0, 931.0], [783.0, 984.0], [355.0, 976.0]], ('DAVID ELTLER', 0.8525502681732178)], [[[1073.0, 927.0], [1220.0, 933.0], [1218.0, 996.0], [1070.0, 989.0]], ('9104', 0.8283073902130127)], [[[209.0, 1049.0], [813.0, 1066.0], [812.0, 1115.0], [208.0, 1098.0]], ('Club Carg srings', 0.6297923922538757)], [[[1118.0, 1064.0], [1348.0, 1064.0], [1348.0, 1113.0], [1118.0, 1113.0]], ('15.91', 0.9806684255599976)], [[[205.0, 1115.0], [709.0, 1125.0], [708.0, 1174.0], [205.0, 1164.0]], ('Coupon soin9E', 0.546116292476654)], [[[1113.0, 1124.0], [1356.0, 1124.0], [1356.0, 1177.0], [1113.0, 1177.0]], ('$4.00', 0.9120920300483704)], [[[205.0, 1177.0], [896.0, 1188.0], [895.0, 1242.0], [205.0, 1230.0]], ('Total Savlnss Velue', 0.788392961025238)], [[[971.0, 1189.0], [1352.0, 1189.0], [1352.0, 1238.0], [971.0, 1238.0]], ('9025.16', 0.9348965883255005)], [[[239.0, 1305.0], [1318.0, 1314.0], [1318.0, 1367.0], [239.0, 1359.0]], ('YOUR CASITER TODAY LAS MATTHEW', 0.8556554317474365)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "7/14/10", "time": "", "subtotal": "", "tax": ".00", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CPNLUCERNELARGE", "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	[[[[81.0, 104.0], [115.0, 94.0], [119.0, 109.0], [85.0, 119.0]], ('PYO', 0.5653240084648132)], [[[54.0, 181.0], [190.0, 182.0], [190.0, 197.0], [54.0, 196.0]], ('241243 Nguyn T.Q1', 0.9081661105155945)], [[[74.0, 194.0], [162.0, 195.0], [162.0, 206.0], [74.0, 205.0]], ('690988901', 0.6880339980125427)], [[[96.0, 208.0], [148.0, 210.0], [148.0, 225.0], [96.0, 223.0]], ('21/12/2015', 0.9969846606254578)], [[[35.0, 223.0], [103.0, 223.0], [103.0, 237.0], [35.0, 237.0]], ('BAN SO:', 0.8795375227928162)], [[[200.0, 224.0], [212.0, 224.0], [212.0, 237.0], [200.0, 237.0]], ('7', 0.9915932416915894)], [[[36.0, 263.0], [86.0, 263.0], [86.0, 274.0], [36.0, 274.0]], ('PHO GA NHO', 0.8915419578552246)], [[[175.0, 262.0], [210.0, 262.0], [210.0, 276.0], [175.0, 276.0]], ('68.000', 0.9635858535766602)], [[[35.0, 275.0], [150.0, 275.0], [150.0, 289.0], [35.0, 289.0]], ('2X58.000 PHO TAI NHO', 0.901992917060852)], [[[172.0, 274.0], [210.0, 277.0], [209.0, 291.0], [171.0, 288.0]], ('116.000', 0.9930532574653625)], [[[33.0, 287.0], [134.0, 288.0], [134.0, 302.0], [33.0, 301.0]], ('3X2.000 KHANLANH', 0.9032543897628784)], [[[179.0, 288.0], [209.0, 288.0], [209.0, 302.0], [179.0, 302.0]], ('6.000', 0.989213764667511)], [[[32.0, 300.0], [78.0, 300.0], [78.0, 326.0], [32.0, 326.0]], ('TIN HAT', 0.8841911554336548)], [[[138.0, 301.0], [208.0, 301.0], [208.0, 322.0], [138.0, 322.0]], ('190.000', 0.9978211522102356)], [[[34.0, 325.0], [90.0, 325.0], [90.0, 340.0], [34.0, 340.0]], ('#001-007654', 0.9539135098457336)], [[[176.0, 322.0], [210.0, 318.0], [212.0, 333.0], [178.0, 337.0]], ('00:40R', 0.9338731169700623)], [[[81.0, 378.0], [164.0, 374.0], [164.0, 389.0], [81.0, 392.0]], ('CAM ON QUY KHACH', 0.877708911895752)], [[[89.0, 391.0], [154.0, 389.0], [154.0, 403.0], [89.0, 405.0]], ('HEN GAP LAL.', 0.8932480812072754)]]	{"store_name": "", "store_addr": "", "telephone": "DT:0838385089", "date": "21/12/2015", "time": "00:40R", "subtotal": "", "tax": "", "total": "190.000", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "GANHD", "item_value": "68.000", "item_quantity": "1"}, {"item_key": "", "item_name": "PHDTAINHO", "item_value": "116.000", "item_quantity": "1"}, {"item_key": "", "item_name": "KHANLANH", "item_value": "6.000", "item_quantity": "1"}, {"item_key": "", "item_name": "PHO", "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	[[[[87.0, 60.0], [237.0, 62.0], [237.0, 79.0], [86.0, 77.0]], ('VERONAITALICA', 0.9965906739234924)], [[[42.0, 79.0], [274.0, 82.0], [274.0, 99.0], [42.0, 95.0]], ('101-RIVERA WAVE NR MACDONALD', 0.9369694590568542)], [[[41.0, 95.0], [152.0, 98.0], [152.0, 113.0], [41.0, 110.0]], ('KALAWADROAD', 0.9959588646888733)], [[[97.0, 109.0], [217.0, 113.0], [217.0, 130.0], [97.0, 126.0]], ('RAJKOT GUJARAT', 0.9597865343093872)], [[[78.0, 125.0], [165.0, 128.0], [165.0, 143.0], [78.0, 141.0]], ('0281-6888666.', 0.9513835906982422)], [[[18.0, 162.0], [117.0, 164.0], [117.0, 178.0], [18.0, 176.0]], ('RETAIL INVOICE', 0.9773894548416138)], [[[22.0, 191.0], [110.0, 191.0], [110.0, 205.0], [22.0, 205.0]], ('BillNo.15823', 0.8699367046356201)], [[[141.0, 192.0], [201.0, 192.0], [201.0, 206.0], [141.0, 206.0]], ('Covers:1', 0.9164623618125916)], [[[229.0, 190.0], [282.0, 192.0], [281.0, 207.0], [228.0, 205.0]], ('08/03/17', 0.992638349533081)], [[[24.0, 219.0], [98.0, 219.0], [98.0, 231.0], [24.0, 231.0]], ('Table Noc3', 0.9295065999031067)], [[[141.0, 218.0], [187.0, 218.0], [187.0, 229.0], [141.0, 229.0]], ('Captain', 0.9930737614631653)], [[[213.0, 217.0], [283.0, 217.0], [283.0, 231.0], [213.0, 231.0]], ('1112.13PM', 0.9087703227996826)], [[[24.0, 241.0], [109.0, 241.0], [109.0, 255.0], [24.0, 255.0]], ('DESCRIPTION', 0.9970731735229492)], [[[160.0, 240.0], [199.0, 240.0], [199.0, 254.0], [160.0, 254.0]], ('QTY', 0.976443350315094)], [[[197.0, 238.0], [278.0, 240.0], [277.0, 255.0], [197.0, 253.0]], ('RATE VALUE', 0.9274717569351196)], [[[21.0, 267.0], [177.0, 264.0], [178.0, 278.0], [21.0, 281.0]], ('UNLIMITEDDINNER@219', 0.9558025002479553)], [[[192.0, 278.0], [231.0, 278.0], [231.0, 293.0], [192.0, 293.0]], ('219.09', 0.8985527157783508)], [[[240.0, 278.0], [280.0, 278.0], [280.0, 292.0], [240.0, 292.0]], ('438.00', 0.9873635768890381)], [[[150.0, 317.0], [173.0, 317.0], [173.0, 332.0], [150.0, 332.0]], ('Tota', 0.8215882182121277)], [[[241.0, 316.0], [286.0, 319.0], [286.0, 337.0], [240.0, 334.0]], ('438.00', 0.9881572127342224)], [[[149.0, 349.0], [200.0, 349.0], [200.0, 363.0], [149.0, 363.0]], ('Sub Total', 0.9554365873336792)], [[[244.0, 346.0], [290.0, 349.0], [289.0, 367.0], [243.0, 364.0]], ('438.00', 0.9937713742256165)], [[[68.0, 368.0], [174.0, 361.0], [175.0, 378.0], [69.0, 385.0]], ('Service Tax (6.0%', 0.9381330609321594)], [[[251.0, 362.0], [289.0, 365.0], [288.0, 383.0], [250.0, 380.0]], ('26.28', 0.9874531030654907)], [[[15.0, 386.0], [80.0, 386.0], [80.0, 400.0], [15.0, 400.0]], ('Cashier v', 0.8726084232330322)], [[[14.0, 402.0], [97.0, 402.0], [97.0, 423.0], [14.0, 423.0]], ('TOTAL:', 0.9805589318275452)], [[[229.0, 399.0], [298.0, 399.0], [298.0, 420.0], [229.0, 420.0]], ('464.00', 0.9981768131256104)]]	{"store_name": "VERONAITALICA", "store_addr": "101-RIVERAWAVE,NRMACDONALD KALAWADROAD, RAJKOTGUJARAT", "telephone": "0281-6888666.", "date": "08/03/17", "time": "11:12:13PM", "subtotal": "438.00 438.00", "tax": "26.28", "total": "464.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "UNLIMITEDDINNER@219", "item_value": "438.00", "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	[[[[133.0, 62.0], [169.0, 65.0], [168.0, 79.0], [132.0, 77.0]], ('MASA', 0.9974030256271362)], [[[79.0, 75.0], [224.0, 80.0], [223.0, 97.0], [78.0, 92.0]], ('10 Columbus Circle', 0.9468603134155273)], [[[77.0, 90.0], [224.0, 96.0], [223.0, 113.0], [77.0, 106.0]], ('NewY0rkNY 10019', 0.9222264885902405)], [[[22.0, 117.0], [104.0, 120.0], [103.0, 137.0], [22.0, 134.0]], ('102 Tetsuo', 0.9445395469665527)], [[[21.0, 146.0], [93.0, 150.0], [92.0, 166.0], [21.0, 163.0]], ('TBL303/1', 0.9895446300506592)], [[[139.0, 150.0], [210.0, 154.0], [209.0, 170.0], [138.0, 167.0]], ('CHK1661', 0.9884001612663269)], [[[216.0, 152.0], [264.0, 155.0], [263.0, 172.0], [215.0, 170.0]], ('GST2', 0.9845168590545654)], [[[83.0, 165.0], [150.0, 167.0], [149.0, 181.0], [82.0, 179.0]], ("FEB21'07", 0.9018940925598145)], [[[160.0, 167.0], [213.0, 169.0], [213.0, 184.0], [159.0, 181.0]], ('703PM', 0.9543836712837219)], [[[34.0, 206.0], [125.0, 209.0], [125.0, 226.0], [33.0, 222.0]], ('1DIET COKE', 0.9189742207527161)], [[[33.0, 221.0], [123.0, 224.0], [123.0, 240.0], [32.0, 237.0]], ('2 Prix Fixe', 0.9272469878196716)], [[[215.0, 212.0], [253.0, 212.0], [253.0, 229.0], [215.0, 229.0]], ('5.00', 0.9964562058448792)], [[[200.0, 226.0], [253.0, 229.0], [253.0, 245.0], [200.0, 243.0]], ('800.00', 0.9952735900878906)], [[[49.0, 237.0], [124.0, 240.0], [124.0, 254.0], [48.0, 251.0]], ('20.0000', 0.9963303208351135)], [[[48.0, 251.0], [169.0, 256.0], [168.0, 273.0], [47.0, 267.0]], ('20% Serv.chrg', 0.9134091734886169)], [[[200.0, 255.0], [251.0, 257.0], [251.0, 275.0], [199.0, 272.0]], ('161.00', 0.9957519173622131)], [[[48.0, 281.0], [82.0, 281.0], [82.0, 296.0], [48.0, 296.0]], ('FOOD', 0.9857547283172607)], [[[47.0, 295.0], [177.0, 300.0], [176.0, 317.0], [46.0, 311.0]], ('Gratuity/Service', 0.9908242225646973)], [[[199.0, 286.0], [250.0, 286.0], [250.0, 303.0], [199.0, 303.0]], ('805.00', 0.9971348643302917)], [[[199.0, 300.0], [250.0, 302.0], [249.0, 319.0], [198.0, 316.0]], ('161.00', 0.9932581782341003)], [[[48.0, 310.0], [76.0, 314.0], [74.0, 329.0], [46.0, 325.0]], ('Tax', 0.9908114075660706)], [[[206.0, 316.0], [249.0, 319.0], [248.0, 332.0], [205.0, 330.0]], ('67.42', 0.9960590600967407)], [[[47.0, 326.0], [125.0, 328.0], [125.0, 342.0], [46.0, 340.0]], ('Total Due', 0.9460129141807556)], [[[121.0, 327.0], [245.0, 332.0], [244.0, 348.0], [120.0, 343.0]], ('1033.42', 0.9888256788253784)], [[[15.0, 354.0], [261.0, 362.0], [260.0, 376.0], [15.0, 368.0]], ('THANK YOU FOR DINING WITH US!!!', 0.9012050628662109)], [[[61.0, 385.0], [222.0, 392.0], [221.0, 405.0], [60.0, 398.0]], ('A 20% service charge', 0.9349222183227539)], [[[19.0, 399.0], [252.0, 407.0], [252.0, 421.0], [19.0, 413.0]], ('has been applied to the biil.', 0.9487059116363525)], [[[20.0, 414.0], [252.0, 422.0], [252.0, 436.0], [20.0, 428.0]], ('Any distribution of a service', 0.9621908664703369)], [[[11.0, 428.0], [268.0, 436.0], [268.0, 452.0], [10.0, 444.0]], ("charge rests in the restaurant's", 0.9516420364379883)], [[[74.0, 444.0], [202.0, 450.0], [201.0, 465.0], [74.0, 459.0]], ('sole discretion.', 0.9664497375488281)]]	{"store_name": "MASA", "store_addr": "10ColumbusCircle NewYork,NY10019", "telephone": "", "date": "FEB21'07", "time": "7:03PM", "subtotal": "805.00", "tax": "67.42", "total": "1033.42", "ignore": "", "tips": "161.00 161.00", "line_items": [{"item_key": "", "item_name": "DIETCOKE", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PrixFixe", "item_value": "800.00", "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	[[[[39.0, 5.0], [111.0, 8.0], [111.0, 19.0], [39.0, 15.0]], ('3401Yose1te Blvd', 0.8263578414916992)], [[[49.0, 0.0], [125.0, 1.0], [125.0, 10.0], [49.0, 8.0]], ('asond Sas &Mart1', 0.8508424758911133)], [[[75.0, 41.0], [172.0, 44.0], [172.0, 57.0], [75.0, 54.0]], ('09/01/20161156:24AM', 0.9393106698989868)], [[[52.0, 51.0], [194.0, 55.0], [194.0, 68.0], [52.0, 63.0]], ('Register1 Trans 9208 0p ID2', 0.8849521279335022)], [[[84.0, 61.0], [158.0, 65.0], [158.0, 75.0], [84.0, 72.0]], ('Your cashier:Joe', 0.895634651184082)], [[[72.0, 79.0], [170.0, 82.0], [170.0, 95.0], [71.0, 92.0]], ('**PREPAID RECEIPT ', 0.8951053619384766)], [[[34.0, 101.0], [81.0, 101.0], [81.0, 111.0], [34.0, 111.0]], ('REGULAR CA', 0.911202609539032)], [[[83.0, 100.0], [121.0, 103.0], [121.0, 113.0], [83.0, 111.0]], ('PUMP5', 0.9369015693664551)], [[[166.0, 101.0], [213.0, 104.0], [213.0, 115.0], [166.0, 113.0]], ('$20.0099', 0.9816065430641174)], [[[111.0, 121.0], [196.0, 122.0], [196.0, 136.0], [111.0, 135.0]], ('Subtotal=$20.00', 0.9125567674636841)], [[[130.0, 132.0], [196.0, 134.0], [196.0, 148.0], [130.0, 145.0]], ('Tax=$0.00', 0.9179328083992004)], [[[125.0, 152.0], [198.0, 155.0], [198.0, 169.0], [125.0, 166.0]], ('Total$20.00', 0.958055853843689)], [[[98.0, 174.0], [165.0, 176.0], [165.0, 190.0], [97.0, 187.0]], ('Change Due=', 0.9029813408851624)], [[[165.0, 176.0], [198.0, 176.0], [198.0, 189.0], [165.0, 189.0]], ('$0.00', 0.985489010810852)], [[[32.0, 196.0], [51.0, 196.0], [51.0, 208.0], [32.0, 208.0]], ('Cash', 0.9937049150466919)], [[[168.0, 195.0], [201.0, 198.0], [199.0, 212.0], [167.0, 210.0]], ('$20.00', 0.9909947514533997)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "09/01/2016", "time": "11:56:24AM", "subtotal": "$20.00", "tax": "$0.00", "total": "$20.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "REGULARCA", "item_value": "$20.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[495.0, 46.0], [723.0, 52.0], [722.0, 100.0], [494.0, 95.0]], ('PIZZA HUT', 0.9854530692100525)], [[[449.0, 113.0], [747.0, 117.0], [746.0, 162.0], [448.0, 158.0]], ('TESCO KAJANG', 0.9625483155250549)], [[[87.0, 178.0], [370.0, 178.0], [370.0, 223.0], [87.0, 223.0]], ('2PIZZAHUT2', 0.9830437898635864)], [[[819.0, 181.0], [1076.0, 185.0], [1075.0, 232.0], [818.0, 228.0]], ('3W@N', 0.907024621963501)], [[[94.0, 308.0], [423.0, 308.0], [423.0, 353.0], [94.0, 353.0]], ('Docket:146970', 0.9766664505004883)], [[[771.0, 312.0], [1077.0, 315.0], [1077.0, 357.0], [770.0, 353.0]], ('Cust.Count:2', 0.939856767654419)], [[[92.0, 368.0], [549.0, 372.0], [549.0, 417.0], [92.0, 413.0]], ('27Sep0920:20:58', 0.9457011818885803)], [[[866.0, 372.0], [1076.0, 372.0], [1076.0, 418.0], [866.0, 418.0]], ('TBLb4/1', 0.988326370716095)], [[[176.0, 495.0], [407.0, 495.0], [407.0, 540.0], [176.0, 540.0]], ('HPM3 WH E', 0.9186045527458191)], [[[861.0, 492.0], [984.0, 492.0], [984.0, 540.0], [861.0, 540.0]], ('25.00', 0.9958891868591309)], [[[201.0, 558.0], [673.0, 555.0], [673.0, 595.0], [201.0, 598.0]], ('WHUNGER DONATION E', 0.9587199687957764)], [[[883.0, 550.0], [984.0, 550.0], [984.0, 600.0], [883.0, 600.0]], ('0.50', 0.9939312934875488)], [[[206.0, 622.0], [593.0, 615.0], [593.0, 660.0], [207.0, 667.0]], ('no tax & sc E', 0.8983026742935181)], [[[201.0, 680.0], [425.0, 675.0], [427.0, 721.0], [202.0, 727.0]], ('MD 2S0UP', 0.9305858612060547)], [[[483.0, 684.0], [534.0, 670.0], [547.0, 716.0], [496.0, 730.0]], ('3', 0.938391387462616)], [[[206.0, 747.0], [565.0, 736.0], [566.0, 778.0], [207.0, 789.0]], ('MD 4PARM BSTIX', 0.9394240975379944)], [[[609.0, 738.0], [636.0, 738.0], [636.0, 777.0], [609.0, 777.0]], ('E', 0.9948628544807434)], [[[609.0, 793.0], [643.0, 793.0], [643.0, 842.0], [609.0, 842.0]], ('E', 0.9968189001083374)], [[[204.0, 809.0], [544.0, 796.0], [546.0, 841.0], [206.0, 854.0]], ('MD 2GLS PEPSI', 0.9853008985519409)], [[[206.0, 872.0], [590.0, 856.0], [592.0, 901.0], [208.0, 917.0]], ('MD RP SUPER SUP', 0.9260865449905396)], [[[874.0, 903.0], [995.0, 896.0], [998.0, 951.0], [877.0, 957.0]], ('30.25', 0.9942487478256226)], [[[180.0, 931.0], [298.0, 926.0], [301.0, 983.0], [182.0, 987.0]], ('CASH', 0.9981123805046082)], [[[879.0, 1023.0], [1005.0, 1016.0], [1008.0, 1069.0], [882.0, 1076.0]], ('25.50', 0.9979342222213745)], [[[187.0, 1064.0], [441.0, 1049.0], [444.0, 1096.0], [189.0, 1111.0]], ('Sub Total', 0.9481852650642395)], [[[904.0, 1083.0], [1007.0, 1076.0], [1010.0, 1128.0], [908.0, 1134.0]], ('2.50', 0.995630145072937)], [[[192.0, 1127.0], [568.0, 1108.0], [570.0, 1153.0], [194.0, 1172.0]], ('Service Charge:', 0.9623910188674927)], [[[908.0, 1141.0], [1009.0, 1136.0], [1011.0, 1188.0], [910.0, 1192.0]], ('1.25', 0.997035801410675)], [[[192.0, 1186.0], [476.0, 1171.0], [478.0, 1218.0], [194.0, 1232.0]], ('5% Govt Tax', 0.906390368938446)], [[[887.0, 1204.0], [1008.0, 1196.0], [1012.0, 1246.0], [891.0, 1254.0]], ('29.25', 0.9793197512626648)], [[[194.0, 1246.0], [349.0, 1238.0], [352.0, 1284.0], [196.0, 1292.0]], ('Total:', 0.9858101010322571)], [[[887.0, 1264.0], [1008.0, 1256.0], [1012.0, 1304.0], [891.0, 1313.0]], ('30.25', 0.9920253753662109)], [[[197.0, 1306.0], [400.0, 1294.0], [403.0, 1341.0], [200.0, 1352.0]], ('Payment:', 0.9944368600845337)], [[[908.0, 1319.0], [1008.0, 1312.0], [1012.0, 1362.0], [911.0, 1369.0]], ('1.00', 0.9967826008796692)], [[[204.0, 1363.0], [475.0, 1346.0], [478.0, 1392.0], [207.0, 1409.0]], ('Change Due:', 0.9278164505958557)], [[[253.0, 1416.0], [949.0, 1376.0], [952.0, 1421.0], [256.0, 1461.0]], ('-4 CL0SED 27Sep 09 21:17:40', 0.8744508028030396)], [[[533.0, 1459.0], [747.0, 1448.0], [749.0, 1489.0], [535.0, 1501.0]], ('Thank You', 0.970966637134552)], [[[436.0, 1522.0], [842.0, 1498.0], [845.0, 1538.0], [438.0, 1562.0]], ('Please Come Again', 0.9592999815940857)], [[[538.0, 1566.0], [934.0, 1539.0], [937.0, 1584.0], [541.0, 1599.0]], ('Cal019-6000372', 0.9386631846427917)]]	{"store_name": "PIZZAHUT TESCOKAJANG", "store_addr": "", "telephone": "", "date": "27Sep09 27Sep09", "time": "21:17:40", "subtotal": "25.50", "tax": "1.25", "total": "29.25", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HPM3WH", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WHUNGERDONATION", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "MD2SOUP", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MD4PARMBSTIX", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MD2GLSPEPSI", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MDRPSUPERSUP", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[75.0, 81.0], [133.0, 83.0], [132.0, 97.0], [74.0, 95.0]], ('Welcome to', 0.8920057415962219)], [[[75.0, 93.0], [131.0, 95.0], [130.0, 109.0], [74.0, 107.0]], ('YOUR LOCAL', 0.9720984697341919)], [[[72.0, 107.0], [134.0, 107.0], [134.0, 121.0], [72.0, 121.0]], ('GAS STATION', 0.9628969430923462)], [[[75.0, 121.0], [132.0, 121.0], [132.0, 132.0], [75.0, 132.0]], ('WHERE EVER', 0.9654073715209961)], [[[52.0, 131.0], [156.0, 131.0], [156.0, 145.0], [52.0, 145.0]], ('YOUR TOWN.CA 90210', 0.9081370234489441)], [[[70.0, 145.0], [135.0, 145.0], [135.0, 156.0], [70.0, 156.0]], ('555-555-5555', 0.991600751876831)], [[[43.0, 182.0], [98.0, 182.0], [98.0, 193.0], [43.0, 193.0]], ('08/06/2014', 0.9967396855354309)], [[[115.0, 182.0], [160.0, 182.0], [160.0, 193.0], [115.0, 193.0]], ('08:15:18', 0.8972723484039307)], [[[42.0, 206.0], [65.0, 206.0], [65.0, 217.0], [42.0, 217.0]], ('PUMP', 0.9848501086235046)], [[[133.0, 205.0], [164.0, 207.0], [163.0, 219.0], [132.0, 217.0]], ('REG 3', 0.888815701007843)], [[[41.0, 217.0], [82.0, 219.0], [82.0, 231.0], [40.0, 229.0]], ('INVOICE', 0.9886096715927124)], [[[123.0, 218.0], [164.0, 218.0], [164.0, 229.0], [123.0, 229.0]], ('8074654', 0.9951387643814087)], [[[43.0, 230.0], [82.0, 230.0], [82.0, 241.0], [43.0, 241.0]], ('GALLONS', 0.9968633651733398)], [[[127.0, 228.0], [164.0, 228.0], [164.0, 242.0], [127.0, 242.0]], ('27.855', 0.9329678416252136)], [[[43.0, 242.0], [91.0, 242.0], [91.0, 253.0], [43.0, 253.0]], ('PRICE/GAL', 0.9941551685333252)], [[[108.0, 239.0], [117.0, 243.0], [113.0, 252.0], [104.0, 248.0]], ('5', 0.6530583500862122)], [[[130.0, 240.0], [164.0, 240.0], [164.0, 254.0], [130.0, 254.0]], ('3.59', 0.9735338091850281)], [[[40.0, 253.0], [93.0, 251.0], [93.0, 265.0], [41.0, 267.0]], ('FUEL SALE', 0.9349324107170105)], [[[106.0, 253.0], [116.0, 253.0], [116.0, 262.0], [106.0, 262.0]], ('$', 0.812730073928833)], [[[129.0, 251.0], [163.0, 253.0], [162.0, 267.0], [128.0, 265.0]], ('100.00', 0.9113360047340393)], [[[41.0, 276.0], [93.0, 273.0], [93.0, 287.0], [42.0, 290.0]], ('CASH TEND', 0.9337645769119263)], [[[104.0, 277.0], [113.0, 273.0], [117.0, 283.0], [108.0, 287.0]], ('S', 0.5387393236160278)], [[[129.0, 274.0], [164.0, 276.0], [163.0, 290.0], [128.0, 288.0]], ('100.00', 0.986057698726654)], [[[44.0, 289.0], [76.0, 289.0], [76.0, 300.0], [44.0, 300.0]], ('CHANGE', 0.9982938766479492)], [[[105.0, 287.0], [115.0, 287.0], [115.0, 297.0], [105.0, 297.0]], ('$', 0.9107725024223328)], [[[138.0, 286.0], [162.0, 288.0], [160.0, 301.0], [136.0, 299.0]], ('0.00', 0.9823023676872253)], [[[48.0, 321.0], [158.0, 321.0], [158.0, 335.0], [48.0, 335.0]], ('saesreceiptstore.com', 0.9693796038627625)], [[[69.0, 345.0], [135.0, 345.0], [135.0, 356.0], [69.0, 356.0]], ('Thank you for', 0.9189198017120361)], [[[64.0, 355.0], [139.0, 355.0], [139.0, 369.0], [64.0, 369.0]], ('your business', 0.9272252321243286)], [[[50.0, 367.0], [151.0, 365.0], [152.0, 379.0], [51.0, 381.0]], ('Please cose again!', 0.8462095856666565)]]	{"store_name": "GASSTATION", "store_addr": "YOURTOWN,CA90210", "telephone": "555-555-5555", "date": "08/06/2014", "time": "08:15:18", "subtotal": "", "tax": "", "total": "$100.00 $100.00", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[308.0, 20.0], [602.0, 25.0], [602.0, 49.0], [308.0, 45.0]], ('WELCONE TO BEST BUY 878', 0.7979284524917603)], [[[358.0, 47.0], [564.0, 51.0], [564.0, 73.0], [358.0, 68.0]], ('DUBUQUE.1652002', 0.7982743382453918)], [[[383.0, 71.0], [542.0, 74.0], [542.0, 96.0], [383.0, 94.0]], ('563587-0988', 0.9189781546592712)], [[[345.0, 118.0], [564.0, 121.0], [564.0, 146.0], [345.0, 144.0]], ('Keep your receipl!', 0.7994585037231445)], [[[196.0, 272.0], [745.0, 265.0], [745.0, 291.0], [197.0, 298.0]], ('Va1 000134-087897-470174-435257-978186-946', 0.9544188976287842)], [[[197.0, 322.0], [471.0, 321.0], [471.0, 343.0], [198.0, 345.0]], ('0878001741610/07/12', 0.9952446818351746)], [[[520.0, 320.0], [700.0, 313.0], [701.0, 339.0], [521.0, 346.0]], ('1612900916574', 0.9397485256195068)], [[[197.0, 395.0], [387.0, 395.0], [387.0, 420.0], [197.0, 420.0]], ('871989972838', 0.9873659014701843)], [[[644.0, 390.0], [703.0, 387.0], [704.0, 415.0], [646.0, 417.0]], ('9.98', 0.9843159914016724)], [[[224.0, 422.0], [583.0, 418.0], [584.0, 440.0], [224.0, 445.0]], ('STARCRAFT II WINGS OF LIBERTY', 0.8878405094146729)], [[[222.0, 447.0], [497.0, 445.0], [498.0, 467.0], [223.0, 469.0]], ('REG $39.9930.01 DISC', 0.8686999082565308)], [[[225.0, 474.0], [387.0, 470.0], [387.0, 493.0], [225.0, 496.0]], ('ITEM TAX O.70', 0.9055436253547668)], [[[647.0, 489.0], [731.0, 489.0], [731.0, 518.0], [647.0, 518.0]], ('0.00N', 0.9431285858154297)], [[[198.0, 499.0], [411.0, 496.0], [411.0, 518.0], [199.0, 522.0]], ('5426693RZ CARD', 0.9549112915992737)], [[[222.0, 524.0], [424.0, 520.0], [424.0, 543.0], [223.0, 546.0]], ('REWARD ZONE CARD', 0.9411028623580933)], [[[223.0, 547.0], [338.0, 547.0], [338.0, 573.0], [223.0, 573.0]], ('MEMBER 10', 0.9096495509147644)], [[[461.0, 595.0], [559.0, 595.0], [559.0, 621.0], [461.0, 621.0]], ('SUBTOTAL', 0.9903756976127625)], [[[637.0, 594.0], [693.0, 594.0], [693.0, 619.0], [637.0, 619.0]], ('9.98', 0.9894101619720459)], [[[361.0, 622.0], [562.0, 620.0], [562.0, 645.0], [361.0, 648.0]], ('SALES TAX AMOUNT', 0.9355888366699219)], [[[638.0, 620.0], [694.0, 620.0], [694.0, 644.0], [638.0, 644.0]], ('0.70', 0.9768137335777283)], [[[502.0, 670.0], [565.0, 670.0], [565.0, 697.0], [502.0, 697.0]], ('TOTAL', 0.9960272908210754)], [[[628.0, 669.0], [695.0, 669.0], [695.0, 695.0], [628.0, 695.0]], ('10.68', 0.9926616549491882)], [[[501.0, 746.0], [567.0, 746.0], [567.0, 773.0], [501.0, 773.0]], ('DEBIT', 0.9463096857070923)], [[[629.0, 745.0], [696.0, 745.0], [696.0, 772.0], [629.0, 772.0]], ('10.68', 0.983350932598114)], [[[261.0, 830.0], [463.0, 827.0], [464.0, 849.0], [261.0, 852.0]], ('ORIGINAL RAL ANCE', 0.8929696679115295)], [[[568.0, 823.0], [635.0, 823.0], [635.0, 851.0], [568.0, 851.0]], ('10.68', 0.9932727813720703)], [[[238.0, 857.0], [467.0, 854.0], [467.0, 877.0], [238.0, 879.0]], ('TRANSACTION AMOUNT', 0.9562091827392578)], [[[568.0, 851.0], [636.0, 851.0], [636.0, 879.0], [568.0, 879.0]], ('10.68', 0.9848631620407104)], [[[9.0, 869.0], [146.0, 863.0], [151.0, 951.0], [13.0, 958.0]], ('TA', 0.7423925399780273)], [[[196.0, 884.0], [514.0, 881.0], [514.0, 906.0], [197.0, 909.0]], ('REFERENCE NUMBER: 0878001', 0.8975884318351746)], [[[54.0, 978.0], [160.0, 982.0], [158.0, 1016.0], [53.0, 1012.0]], ('NIM', 0.85775226354599)]]	{"store_name": "WELCOMETOBESTBUY#878", "store_addr": "DUBUQUE,IA52002", "telephone": "(563)587-0988", "date": "10/07/12", "time": "16:29", "subtotal": "9.98", "tax": "ITEMTAX0.70 0.70", "total": "10.68", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "871989972838", "item_value": "9.98", "item_quantity": "1"}, {"item_key": "", "item_name": "STARCRAFITIWINGSOFLIBERTY", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "5426693RZCARD", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "REWARDZONECARD", "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	[[[[25.0, 2.0], [61.0, 2.0], [61.0, 16.0], [25.0, 16.0]], ('KS#4', 0.985481858253479)], [[[139.0, 3.0], [271.0, 3.0], [271.0, 16.0], [139.0, 16.0]], ("Jul.24'15Fr118:16", 0.9048911333084106)], [[[26.0, 33.0], [174.0, 33.0], [174.0, 46.0], [26.0, 46.0]], ('HFY SIDE 1 KVS Order 21', 0.893281877040863)], [[[23.0, 62.0], [75.0, 62.0], [75.0, 76.0], [23.0, 76.0]], ('QTY ITEM', 0.9380279183387756)], [[[238.0, 60.0], [271.0, 63.0], [270.0, 78.0], [237.0, 76.0]], ('TOTAL', 0.997766375541687)], [[[30.0, 76.0], [164.0, 77.0], [164.0, 94.0], [30.0, 93.0]], ('1 M Strawberry Shake', 0.9305445551872253)], [[[243.0, 78.0], [274.0, 78.0], [274.0, 94.0], [243.0, 94.0]], ('2.79', 0.9973259568214417)], [[[32.0, 92.0], [100.0, 94.0], [100.0, 109.0], [31.0, 107.0]], ('3 No Sauce', 0.9231904149055481)], [[[243.0, 95.0], [274.0, 95.0], [274.0, 110.0], [243.0, 110.0]], ('0.00', 0.9961568117141724)], [[[32.0, 108.0], [124.0, 110.0], [123.0, 126.0], [31.0, 123.0]], ('120 McNuggets', 0.9698089361190796)], [[[243.0, 110.0], [274.0, 110.0], [274.0, 126.0], [243.0, 126.0]], ('5.00', 0.995404064655304)], [[[31.0, 123.0], [99.0, 126.0], [98.0, 143.0], [30.0, 140.0]], ('2 McDouble', 0.9401253461837769)], [[[244.0, 127.0], [274.0, 127.0], [274.0, 142.0], [244.0, 142.0]], ('3.38', 0.9929975271224976)], [[[30.0, 139.0], [137.0, 141.0], [136.0, 158.0], [30.0, 156.0]], ('2 L French Fries', 0.8880506157875061)], [[[245.0, 143.0], [274.0, 143.0], [274.0, 158.0], [245.0, 158.0]], ('4.78', 0.992949366569519)], [[[14.0, 171.0], [70.0, 173.0], [70.0, 190.0], [14.0, 188.0]], ('Subtotal', 0.9741365909576416)], [[[239.0, 175.0], [276.0, 175.0], [276.0, 193.0], [239.0, 193.0]], ('15.95', 0.9969404339790344)], [[[27.0, 190.0], [51.0, 190.0], [51.0, 206.0], [27.0, 206.0]], ('Tax', 0.9950539469718933)], [[[245.0, 193.0], [275.0, 193.0], [275.0, 209.0], [245.0, 209.0]], ('1.44', 0.9935654401779175)], [[[16.0, 224.0], [107.0, 224.0], [107.0, 238.0], [16.0, 238.0]], ('Take-Out Total', 0.9055379629135132)], [[[239.0, 225.0], [277.0, 225.0], [277.0, 243.0], [239.0, 243.0]], ('17.39', 0.9928075075149536)], [[[10.0, 254.0], [68.0, 257.0], [66.0, 275.0], [9.0, 272.0]], ('Cashless', 0.9938511848449707)], [[[239.0, 260.0], [278.0, 260.0], [278.0, 278.0], [239.0, 278.0]], ('17.39', 0.9935857653617859)], [[[6.0, 271.0], [54.0, 275.0], [52.0, 293.0], [5.0, 289.0]], ('Change', 0.99550861120224)], [[[246.0, 279.0], [279.0, 279.0], [279.0, 296.0], [246.0, 296.0]], ('000', 0.9859566688537598)], [[[7.0, 307.0], [99.0, 311.0], [98.0, 328.0], [7.0, 325.0]], ('MER#92449602', 0.9951093792915344)], [[[5.0, 325.0], [85.0, 327.0], [85.0, 345.0], [5.0, 343.0]], ('CARD ISSUER', 0.9463239312171936)], [[[150.0, 329.0], [209.0, 331.0], [208.0, 347.0], [149.0, 346.0]], ('ACCOUNT#', 0.9888495206832886)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "Jul.24\u203215", "time": "(Fri)18:16", "subtotal": "15.95", "tax": "1.44", "total": "17.39", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MStrawberryshake", "item_value": "2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "NoSauce", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "20McNuggets", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "McDouble", "item_value": "3.38", "item_quantity": "1"}, {"item_key": "", "item_name": "FrenchFries", "item_value": "4.78", "item_quantity": "1"}, {"item_key": "ITEM", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[113.0, 73.0], [183.0, 73.0], [183.0, 87.0], [113.0, 87.0]], ('SHAKE SHACK', 0.9621002078056335)], [[[101.0, 87.0], [202.0, 87.0], [202.0, 101.0], [101.0, 101.0]], ('252S.Brand Ave', 0.972519040107727)], [[[95.0, 103.0], [208.0, 100.0], [208.0, 114.0], [95.0, 117.0]], ('GlendaleCA 91204', 0.9422954320907593)], [[[22.0, 119.0], [81.0, 119.0], [81.0, 136.0], [22.0, 136.0]], ('HostLiz', 0.9745664000511169)], [[[217.0, 114.0], [284.0, 111.0], [285.0, 128.0], [218.0, 131.0]], ('05/20/2017', 0.9976454973220825)], [[[230.0, 129.0], [285.0, 126.0], [286.0, 143.0], [231.0, 146.0]], ('12:29PM', 0.9546990990638733)], [[[248.0, 144.0], [285.0, 141.0], [286.0, 157.0], [249.0, 160.0]], ('30007', 0.999290943145752)], [[[17.0, 175.0], [112.0, 177.0], [112.0, 191.0], [17.0, 189.0]], ('DBL ShackBurger', 0.9510868191719055)], [[[257.0, 174.0], [287.0, 174.0], [287.0, 189.0], [257.0, 189.0]], ('8.35', 0.997188925743103)], [[[17.0, 190.0], [81.0, 192.0], [80.0, 206.0], [16.0, 204.0]], ('DBL Burger', 0.9596337080001831)], [[[258.0, 189.0], [288.0, 189.0], [288.0, 204.0], [258.0, 204.0]], ('6.85', 0.9935624599456787)], [[[15.0, 206.0], [93.0, 206.0], [93.0, 220.0], [15.0, 220.0]], ('french fries', 0.9779605269432068)], [[[13.0, 221.0], [92.0, 221.0], [92.0, 235.0], [13.0, 235.0]], ('cheese fries', 0.9533824920654297)], [[[259.0, 219.0], [291.0, 219.0], [291.0, 234.0], [259.0, 234.0]], ('3.99', 0.9952945709228516)], [[[11.0, 236.0], [64.0, 236.0], [64.0, 250.0], [11.0, 250.0]], ('LRG Soda', 0.9311752915382385)], [[[259.0, 234.0], [293.0, 234.0], [293.0, 252.0], [259.0, 252.0]], ('2.85', 0.9944779872894287)], [[[20.0, 248.0], [76.0, 250.0], [75.0, 267.0], [19.0, 265.0]], ('LRG Coke', 0.9445927739143372)], [[[8.0, 266.0], [63.0, 266.0], [63.0, 283.0], [8.0, 283.0]], ('LRG Soda', 0.9411631226539612)], [[[261.0, 266.0], [296.0, 266.0], [296.0, 284.0], [261.0, 284.0]], ('2.85', 0.9944858551025391)], [[[21.0, 281.0], [89.0, 283.0], [89.0, 301.0], [21.0, 298.0]], ('LRG Sprite', 0.9601985812187195)], [[[9.0, 312.0], [62.0, 315.0], [61.0, 333.0], [8.0, 330.0]], ('Subtotal', 0.9898126721382141)], [[[256.0, 317.0], [297.0, 320.0], [296.0, 339.0], [255.0, 336.0]], ('27.88', 0.9953140020370483)], [[[9.0, 330.0], [32.0, 333.0], [30.0, 350.0], [7.0, 347.0]], ('Tax', 0.9940776824951172)], [[[263.0, 339.0], [297.0, 339.0], [297.0, 358.0], [263.0, 358.0]], ('2.51', 0.9938998818397522)], [[[7.0, 363.0], [178.0, 369.0], [178.0, 390.0], [7.0, 385.0]], ('To Stay Total', 0.9378433227539062)], [[[222.0, 371.0], [296.0, 375.0], [295.0, 393.0], [221.0, 389.0]], ('30.39', 0.990949809551239)], [[[5.0, 400.0], [155.0, 402.0], [155.0, 419.0], [5.0, 417.0]], ('Visa#Xxxxxxxxxxxx4760', 0.7796863317489624)], [[[258.0, 409.0], [298.0, 409.0], [298.0, 428.0], [258.0, 428.0]], ('30.39', 0.9934195280075073)], [[[18.0, 419.0], [94.0, 419.0], [94.0, 433.0], [18.0, 433.0]], ('Auth:071991', 0.9588098526000977)]]	{"store_name": "SHAKESHACK", "store_addr": "252S.BrandAve Glendale,CA91204", "telephone": "", "date": "05/20/2017", "time": "12:29PM", "subtotal": "27.88", "tax": "2.51", "total": "30.39 30.39", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DBLShackBurger", "item_value": "8.35", "item_quantity": "1"}, {"item_key": "", "item_name": "DBLBurger", "item_value": "6.85", "item_quantity": "1"}, {"item_key": "", "item_name": "frenchfries", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "cheesefries", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LRGSoda", "item_value": "2.85", "item_quantity": "1"}, {"item_key": "", "item_name": "LRGCoke", "item_value": "2.85", "item_quantity": "1"}, {"item_key": "", "item_name": "LRGSoda", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "LRGSprite", "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	[[[[22.0, 26.0], [148.0, 34.0], [147.0, 54.0], [20.0, 46.0]], ('1 Harvest Salad', 0.9498544931411743)], [[[224.0, 33.0], [248.0, 33.0], [248.0, 53.0], [224.0, 53.0]], ('MW', 0.9842382669448853)], [[[284.0, 32.0], [330.0, 35.0], [328.0, 57.0], [282.0, 54.0]], ('10.34', 0.9938953518867493)], [[[45.0, 48.0], [106.0, 53.0], [105.0, 72.0], [43.0, 67.0]], ('Chicken', 0.9959486722946167)], [[[210.0, 55.0], [254.0, 55.0], [254.0, 73.0], [210.0, 73.0]], ('MW520', 0.9975149035453796)], [[[15.0, 68.0], [205.0, 76.0], [204.0, 96.0], [15.0, 88.0]], ('1 Cuban Press Sandwich', 0.9537878632545471)], [[[294.0, 72.0], [333.0, 75.0], [331.0, 94.0], [292.0, 92.0]], ('8.39', 0.9981313347816467)], [[[14.0, 86.0], [72.0, 91.0], [70.0, 113.0], [12.0, 108.0]], ('1 Soda', 0.9256818294525146)], [[[295.0, 93.0], [334.0, 95.0], [332.0, 115.0], [293.0, 112.0]], ('2.09', 0.9964077472686768)], [[[125.0, 134.0], [196.0, 137.0], [195.0, 158.0], [124.0, 156.0]], ('SubTotal', 0.9783008694648743)], [[[289.0, 136.0], [337.0, 136.0], [337.0, 158.0], [289.0, 158.0]], ('20.82', 0.9933120012283325)], [[[126.0, 158.0], [154.0, 158.0], [154.0, 179.0], [126.0, 179.0]], ('Tax', 0.9962408542633057)], [[[296.0, 159.0], [338.0, 159.0], [338.0, 181.0], [296.0, 181.0]], ('1.87', 0.9964715242385864)], [[[117.0, 224.0], [239.0, 227.0], [239.0, 262.0], [116.0, 260.0]], ('WIN$2000 ', 0.8473949432373047)], [[[69.0, 257.0], [284.0, 264.0], [283.0, 285.0], [68.0, 278.0]], ("Tell us how we're doing", 0.9154611825942993)], [[[57.0, 282.0], [300.0, 288.0], [299.0, 309.0], [56.0, 302.0]], ('Visit www.cafefeedback.com', 0.9458329081535339)], [[[82.0, 309.0], [272.0, 313.0], [272.0, 333.0], [82.0, 330.0]], ('or ca11 866-306-6162', 0.9472253918647766)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "20.82", "tax": "1.87", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "HarvestSalad", "item_value": "10.34", "item_quantity": "1"}, {"item_key": "", "item_name": "Chicken", "item_value": "8.39", "item_quantity": "1"}, {"item_key": "", "item_name": "CubanPressSandwich", "item_value": "2.09", "item_quantity": "1"}, {"item_key": "", "item_name": "Soda", "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, 46.0], [180.0, 35.0], [181.0, 56.0], [51.0, 67.0]], ('HANOHRA THAI RESTAURANT', 0.9366374611854553)], [[[69.0, 63.0], [158.0, 54.0], [160.0, 68.0], [70.0, 77.0]], ('CIFB-64923477', 0.9618607759475708)], [[[58.0, 78.0], [164.0, 68.0], [165.0, 82.0], [59.0, 92.0]], ('CMUNTANERN9185', 0.9279857277870178)], [[[70.0, 91.0], [153.0, 83.0], [155.0, 97.0], [71.0, 105.0]], ('TEL686846918', 0.9848098754882812)], [[[125.0, 142.0], [177.0, 139.0], [178.0, 157.0], [126.0, 160.0]], ('CUENTA:', 0.9297705888748169)], [[[5.0, 164.0], [94.0, 159.0], [95.0, 174.0], [5.0, 178.0]], ('COMANDA:P2021508', 0.9534990787506104)], [[[126.0, 159.0], [181.0, 157.0], [182.0, 172.0], [127.0, 174.0]], ('COMENS', 0.9928038716316223)], [[[2.0, 190.0], [91.0, 189.0], [91.0, 203.0], [2.0, 204.0]], ('1 MENU FESTIVO', 0.9191692471504211)], [[[133.0, 187.0], [166.0, 187.0], [166.0, 202.0], [133.0, 202.0]], ('17.25', 0.9900383949279785)], [[[190.0, 183.0], [228.0, 180.0], [230.0, 198.0], [192.0, 201.0]], ('17.25', 0.9873372316360474)], [[[3.0, 204.0], [111.0, 202.0], [112.0, 216.0], [3.0, 218.0]], ('TLANGOSTINOS MENU', 0.9183635711669922)], [[[136.0, 201.0], [166.0, 201.0], [166.0, 216.0], [136.0, 216.0]], ('1.50', 0.9892266988754272)], [[[200.0, 198.0], [229.0, 198.0], [229.0, 214.0], [200.0, 214.0]], ('1.50', 0.9878012537956238)], [[[0.0, 258.0], [81.0, 258.0], [81.0, 272.0], [0.0, 272.0]], ('Base Imponible', 0.9518380165100098)], [[[197.0, 257.0], [233.0, 257.0], [233.0, 275.0], [197.0, 275.0]], ('17.05', 0.9952746629714966)], [[[1.0, 274.0], [44.0, 274.0], [44.0, 288.0], [1.0, 288.0]], ('IVA10%', 0.9741098284721375)], [[[203.0, 274.0], [233.0, 274.0], [233.0, 289.0], [203.0, 289.0]], ('1.70', 0.996356189250946)], [[[2.0, 288.0], [56.0, 288.0], [56.0, 302.0], [2.0, 302.0]], ('TOTAL', 0.9983705282211304)], [[[166.0, 287.0], [232.0, 289.0], [232.0, 307.0], [166.0, 304.0]], ('18.75', 0.9984542727470398)], [[[12.0, 369.0], [228.0, 379.0], [227.0, 395.0], [12.0, 385.0]], ('P2-02356527/01/201803:59PM CHENITA', 0.9615802764892578)], [[[47.0, 399.0], [191.0, 405.0], [190.0, 429.0], [46.0, 424.0]], ('KHUB KHUN MAAG KRAP !!', 0.8779917359352112)], [[[31.0, 422.0], [215.0, 426.0], [214.0, 449.0], [30.0, 446.0]], ('GRACIES PER LA SEVA VISITA!', 0.8951583504676819)]]	{"store_name": "MANOHRATHAIRESTAURANT", "store_addr": "C,MUNTANER\u2116185", "telephone": "686846918", "date": "27/01/2018", "time": "03:59PM", "subtotal": "17.05", "tax": "1.70", "total": "18.75", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MENUFESTIVO", "item_value": "17.25", "item_quantity": "1"}, {"item_key": "", "item_name": "LANGOSTINOSMENU", "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	[[[[0.0, 2.0], [109.0, 0.0], [110.0, 16.0], [0.0, 19.0]], ('ver:Upsham K', 0.9122347235679626)], [[[151.0, 0.0], [255.0, 0.0], [255.0, 16.0], [151.0, 16.0]], ('Check:49239', 0.9728299975395203)], [[[0.0, 20.0], [59.0, 16.0], [60.0, 37.0], [0.0, 40.0]], ('le:18', 0.8560277819633484)], [[[148.0, 18.0], [299.0, 15.0], [299.0, 34.0], [149.0, 37.0]], ('Date:22/11/2012', 0.9691302180290222)], [[[0.0, 40.0], [51.0, 38.0], [52.0, 58.0], [0.0, 61.0]], ('sts:2', 0.8931856155395508)], [[[151.0, 38.0], [308.0, 37.0], [308.0, 55.0], [151.0, 56.0]], ('Time12:58:18PM', 0.932501494884491)], [[[3.0, 80.0], [170.0, 78.0], [170.0, 99.0], [3.0, 101.0]], ('Chicken Pesto Pasta', 0.9618039131164551)], [[[297.0, 76.0], [337.0, 76.0], [337.0, 99.0], [297.0, 99.0]], ('7.95', 0.9942354559898376)], [[[118.0, 121.0], [196.0, 121.0], [196.0, 139.0], [118.0, 139.0]], ('SUBTOTAL:', 0.9847879409790039)], [[[298.0, 118.0], [338.0, 118.0], [338.0, 140.0], [298.0, 140.0]], ('7.95', 0.9886313676834106)], [[[159.0, 141.0], [199.0, 141.0], [199.0, 162.0], [159.0, 162.0]], ('HST:', 0.9754137992858887)], [[[300.0, 140.0], [340.0, 140.0], [340.0, 161.0], [300.0, 161.0]], ('1.03', 0.9932693243026733)], [[[92.0, 183.0], [194.0, 183.0], [194.0, 203.0], [92.0, 203.0]], ('TOTAL:', 0.9702767729759216)], [[[269.0, 184.0], [338.0, 184.0], [338.0, 201.0], [269.0, 201.0]], ('8.98', 0.9934195280075073)], [[[46.0, 248.0], [253.0, 247.0], [253.0, 267.0], [46.0, 268.0]], ('A11 tips go towards the', 0.942501962184906)], [[[17.0, 272.0], [291.0, 269.0], [291.0, 289.0], [17.0, 291.0]], ('ki11-a-Twilight fan foundation', 0.9367535710334778)], [[[108.0, 336.0], [201.0, 336.0], [201.0, 359.0], [108.0, 359.0]], ('Thank you', 0.9796262383460999)], [[[54.0, 384.0], [256.0, 382.0], [256.0, 401.0], [54.0, 403.0]], ('HST #849328547RT0001', 0.9697450399398804)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "22/11/2012", "time": "12:58:18PM", "subtotal": "7.95", "tax": "1.03", "total": "8.98", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenPestoPasta", "item_value": "7.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[80.0, 0.0], [269.0, 3.0], [269.0, 17.0], [80.0, 13.0]], ('ROCK ROAD SEAFOCO RESTAURANT SDN BHD', 0.9268434047698975)], [[[95.0, 10.0], [256.0, 13.0], [255.0, 27.0], [95.0, 24.0]], ('Lot 1229/1230.Rock View Estate', 0.9293192028999329)], [[[134.0, 20.0], [214.0, 23.0], [214.0, 36.0], [133.0, 33.0]], ('93200 Kuching', 0.9524859189987183)], [[[111.0, 30.0], [245.0, 32.0], [245.0, 46.0], [110.0, 44.0]], ('Te1:082-241575 082-427331', 0.949724555015564)], [[[118.0, 42.0], [231.0, 44.0], [230.0, 58.0], [118.0, 56.0]], ('http//www.rockrd.com', 0.9668354988098145)], [[[97.0, 62.0], [252.0, 65.0], [251.0, 81.0], [97.0, 78.0]], ('GST Reg.No000997687296', 0.9680711627006531)], [[[152.0, 56.0], [198.0, 56.0], [198.0, 67.0], [152.0, 67.0]], ('633660-', 0.9528425931930542)], [[[106.0, 84.0], [232.0, 89.0], [231.0, 106.0], [105.0, 101.0]], ('Tax Invoice', 0.9613111019134521)], [[[59.0, 110.0], [152.0, 114.0], [151.0, 136.0], [58.0, 132.0]], ('Table 29', 0.932563066482544)], [[[55.0, 142.0], [147.0, 146.0], [147.0, 160.0], [55.0, 157.0]], ('Check#530244', 0.9748799800872803)], [[[208.0, 144.0], [263.0, 148.0], [262.0, 163.0], [207.0, 159.0]], ('Paxs2', 0.9846361875534058)], [[[52.0, 155.0], [224.0, 159.0], [223.0, 176.0], [52.0, 172.0]], ('Date08-04-2016 18:54:57', 0.945412278175354)], [[[52.0, 171.0], [152.0, 173.0], [152.0, 187.0], [52.0, 185.0]], ('Cashier:EVERLYN', 0.9729537963867188)], [[[49.0, 197.0], [121.0, 199.0], [121.0, 214.0], [49.0, 212.0]], ('Description', 0.9964377880096436)], [[[142.0, 201.0], [164.0, 201.0], [164.0, 213.0], [142.0, 213.0]], ('Qty', 0.9951648712158203)], [[[184.0, 198.0], [233.0, 200.0], [232.0, 215.0], [183.0, 213.0]], ('U.price', 0.988592803478241)], [[[238.0, 199.0], [299.0, 201.0], [298.0, 216.0], [238.0, 214.0]], ('Total TAX', 0.9149676561355591)], [[[44.0, 225.0], [202.0, 227.0], [202.0, 244.0], [44.0, 242.0]], ('PJ-Mixed Fruit Juice P', 0.9645228981971741)], [[[134.0, 241.0], [158.0, 244.0], [156.0, 259.0], [132.0, 256.0]], ('1x', 0.8078011274337769)], [[[192.0, 243.0], [221.0, 243.0], [221.0, 259.0], [192.0, 259.0]], ('8.00', 0.9939396381378174)], [[[248.0, 243.0], [284.0, 245.0], [283.0, 260.0], [247.0, 258.0]], ('8.00', 0.9928244352340698)], [[[285.0, 245.0], [304.0, 245.0], [304.0, 261.0], [285.0, 261.0]], ('SR', 0.9949687719345093)], [[[41.0, 255.0], [161.0, 257.0], [161.0, 274.0], [40.0, 272.0]], ('PJ-Dragon JuiceP', 0.9700976610183716)], [[[133.0, 274.0], [157.0, 274.0], [157.0, 290.0], [133.0, 290.0]], ('1x', 0.8810008764266968)], [[[191.0, 271.0], [224.0, 274.0], [223.0, 292.0], [190.0, 289.0]], ('8.00', 0.996820330619812)], [[[251.0, 271.0], [284.0, 274.0], [282.0, 293.0], [249.0, 290.0]], ('8.00', 0.9963083863258362)], [[[291.0, 277.0], [307.0, 277.0], [307.0, 291.0], [291.0, 291.0]], ('SR', 0.996976375579834)], [[[36.0, 287.0], [76.0, 287.0], [76.0, 305.0], [36.0, 305.0]], ('Bidin', 0.9977110028266907)], [[[132.0, 304.0], [156.0, 307.0], [154.0, 323.0], [130.0, 320.0]], ('1x', 0.7014371156692505)], [[[187.0, 305.0], [224.0, 305.0], [224.0, 323.0], [187.0, 323.0]], ('18.00', 0.9954072833061218)], [[[249.0, 306.0], [287.0, 306.0], [287.0, 324.0], [249.0, 324.0]], ('18.00', 0.9960833787918091)], [[[295.0, 308.0], [312.0, 308.0], [312.0, 325.0], [295.0, 325.0]], ('SR', 0.9959695339202881)], [[[33.0, 322.0], [134.0, 322.0], [134.0, 340.0], [33.0, 340.0]], ('Prawn-Boiled', 0.9725081324577332)], [[[130.0, 342.0], [155.0, 342.0], [155.0, 357.0], [130.0, 357.0]], ('1x', 0.8101391792297363)], [[[187.0, 339.0], [226.0, 342.0], [225.0, 361.0], [186.0, 358.0]], ('42.00', 0.9920783042907715)], [[[251.0, 342.0], [291.0, 342.0], [291.0, 360.0], [251.0, 360.0]], ('42.00', 0.9942556619644165)], [[[297.0, 344.0], [317.0, 344.0], [317.0, 360.0], [297.0, 360.0]], ('SR', 0.9947978258132935)], [[[29.0, 358.0], [145.0, 358.0], [145.0, 375.0], [29.0, 375.0]], ('Lokan-Dry Chi11i', 0.9645752906799316)], [[[128.0, 378.0], [156.0, 378.0], [156.0, 397.0], [128.0, 397.0]], ('1x', 0.8600364923477173)], [[[186.0, 375.0], [227.0, 378.0], [226.0, 397.0], [185.0, 394.0]], ('25.00', 0.9970444440841675)], [[[252.0, 379.0], [293.0, 379.0], [293.0, 397.0], [252.0, 397.0]], ('25.00', 0.9932371377944946)], [[[302.0, 377.0], [322.0, 381.0], [318.0, 399.0], [298.0, 395.0]], ('SR', 0.9957209825515747)], [[[24.0, 395.0], [182.0, 396.0], [182.0, 416.0], [24.0, 415.0]], ('Scallop With Brocol1i', 0.9011443257331848)], [[[125.0, 417.0], [157.0, 417.0], [157.0, 439.0], [125.0, 439.0]], ('1x', 0.8195879459381104)], [[[187.0, 418.0], [228.0, 418.0], [228.0, 437.0], [187.0, 437.0]], ('38.00', 0.996357262134552)], [[[254.0, 418.0], [299.0, 418.0], [299.0, 437.0], [254.0, 437.0]], ('38.00', 0.9946502447128296)], [[[304.0, 419.0], [324.0, 419.0], [324.0, 437.0], [304.0, 437.0]], ('SR', 0.9965817928314209)]]	{"store_name": "ROCKROADSEAFOODRESTAURANTSDNBHD", "store_addr": "93200Kuching. Lot1229/1230.RockViewEstate", "telephone": "082-241575082-427331", "date": "08-04-2016", "time": "18:54:57", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ScallopWithBrocolli", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Lokan-DryChilli", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Prawn-Boiled", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Bidin", "item_value": "42.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PJ-DragonJuice(P)", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PJ-MixedFruitJuice(P)", "item_value": "38.00", "item_quantity": "1"}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}