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OCR Transcription
input
OUTPUT

curl -X POST \
"https://super.ai/v1/apps/my-image-structured/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"image_url":"https://i.ibb.co/KFnFskr/image-structured-input.jpg"}]}'

dp = DataProgram("image-structured")
instance = dp(name="my-image-structured", instructions="Extract all the fields")
instance.label(inputs=[{"image_url":"https://i.ibb.co/KFnFskr/image-structured-input.jpg"}])"

superai client create_jobs \
--app_id my-image-structured \
--inputs [{"image_url":"https://i.ibb.co/KFnFskr/image-structured-input.jpg"}]

[{"transcription": {
                      "https://docs.google.com/spreadsheets/d/1IsLKa2iyI iwnKNby6wtm2HqM1hNHjd-sLkTIvmcB28o/edit#gid=0"    
                           },
"boundingBox": [{'top': 99, 'left': 147, 'height': 23, 'width': 150},{'top': 159, 'left': 147, 'height': 25, 'width': 406},{'top': 158, 'left': 792, 'height': 26, 'width': 80},{'top': 157, 'left': 1018, 'height': 26, 'width': 225},{'top': 98, 'left': 1148, 'height': 27, 'width': 142},{'top': 163, 'left': 1356, 'height': 21, 'width': 50},{'top': 227, 'left': 147, 'height': 23, 'width': 69},{'top': 225, 'left': 358, 'height': 26, 'width': 434},{'top': 222, 'left': 909, 'height': 27, 'width': 33},{'top': 223, 'left': 968, 'height': 27, 'width': 68},{'top': 222, 'left': 1102, 'height': 28, 'width': 62},{'top': 226, 'left': 1194, 'height': 23, 'width': 162},{'top': 289, 'left': 148, 'height': 26, 'width': 596},{'top': 291, 'left': 808, 'height': 25, 'width': 676},{'top': 358, 'left': 115, 'height': 24, 'width': 34},{'top': 357, 'left': 179, 'height': 23, 'width': 67},{'top': 357, 'left': 274, 'height': 24, 'width': 70},{'top': 357, 'left': 355, 'height': 23, 'width': 386},{'top': 358, 'left': 757, 'height': 21, 'width': 66},{'top': 358, 'left': 872, 'height': 21, 'width': 50},{'top': 357, 'left': 1018, 'height': 23, 'width': 64},{'top': 358, 'left': 1147, 'height': 22, 'width': 80},{'top': 357, 'left': 1276, 'height': 23, 'width': 61},{'top': 429, 'left': 175, 'height': 16, 'width': 25},{'top': 358, 'left': 1390, 'height': 23, 'width': 47},{'top': 487, 'left': 193, 'height': 19, 'width': 22},{'top': 479, 'left': 742, 'height': 29, 'width': 628},{'top': 536, 'left': 632, 'height': 34, 'width': 149},{'top': 546, 'left': 1160, 'height': 26, 'width': 98},{'top': 608, 'left': 112, 'height': 31, 'width': 17},{'top': 610, 'left': 162, 'height': 26, 'width': 67},{'top': 608, 'left': 273, 'height': 27, 'width': 68},{'top': 608, 'left': 346, 'height': 27, 'width': 315},{'top': 608, 'left': 740, 'height': 28, 'width': 692},{'top': 671, 'left': 884, 'height': 28, 'width': 37},{'top': 675, 'left': 965, 'height': 24, 'width': 36},{'top': 675, 'left': 1045, 'height': 23, 'width': 36},{'top': 704, 'left': 882, 'height': 27, 'width': 39},{'top': 705, 'left': 965, 'height': 25, 'width': 35},{'top': 706, 'left': 1046, 'height': 24, 'width': 34},{'top': 738, 'left': 884, 'height': 24, 'width': 36}
{'top': 736, 'left': 962, 'height': 26, 'width': 39},{'top': 735, 'left': 1046, 'height': 30, 'width': 35},{'top': 767, 'left': 885, 'height': 31, 'width': 35},{'top': 768, 'left': 965, 'height': 27, 'width': 35},{'top': 768, 'left': 1046, 'height': 27, 'width': 35},{'top': 768, 'left': 1157, 'height': 27, 'width': 36},{'top': 770, 'left': 1269, 'height': 25, 'width': 36},{'top': 771, 'left': 1400, 'height': 25, 'width': 34},{'top': 797, 'left': 115, 'height': 91, 'width': 1354},{'top': 920, 'left': 111, 'height': 58, 'width': 548},{'top': 920, 'left': 689, 'height': 61, 'width': 694},{'top': 1028, 'left': 109, 'height': 177, 'width': 250},{'top': 1024, 'left': 652, 'height': 180, 'width': 232},{'top': 1026, 'left': 896, 'height': 178, 'width': 256},{'top': 1062, 'left': 1153, 'height': 92, 'width': 343},{'top': 1316, 'left': 509, 'height': 33, 'width': 71},{'top': 1372, 'left': 827, 'height': 27, 'width': 259},{'top': 1494, 'left': 470, 'height': 104, 'width': 586},{'top': 1428, 'left': 1082, 'height': 98, 'width': 416},{'top': 1530, 'left': 1056, 'height': 64, 'width': 382},{'top': 1768, 'left': 120, 'height': 36, 'width': 76},{'top': 1792, 'left': 426, 'height': 38, 'width': 114},{'top': 1796, 'left': 584, 'height': 30, 'width': 24},{'top': 1798, 'left': 648, 'height': 28, 'width': 28},{'top': 1794, 'left': 698, 'height': 28, 'width': 24},{'top': 1792, 'left': 758, 'height': 28, 'width': 70},{'top': 1788, 'left': 1054, 'height': 34, 'width': 442},{'top': 1896, 'left': 100, 'height': 36, 'width': 700},{'top': 1826, 'left': 900, 'height': 102, 'width': 600}]}]

output
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USE CASES

What can AI do for document processing?

Medical Data Extraction
Medical Data Extraction

Locate and classify named entities mentioned in medical records.

Claims Report Data Extraction
Claims Report Data Extraction

Eliminate manual data extraction for more efficient and effective claims management


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CASE STUDIES

You are in great company

Automating FNOL Report Processing for a Large U.S. Auto Insurance Company
Automating FNOL Report Processing for a Large U.S. Auto Insurance Company
Learn how super.AI helped one of America’s largest auto insurance companies automate 99% of its FNOL report processing.
Automating Straight Bill of Lading (BoL) Document Processing
Automating Straight Bill of Lading (BoL) Document Processing
Learn how super.AI helped a Fortune 500 medical products company automate Bill of Lading (BoL) document processing as scale.
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