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Labeling Tools

Use the AI-powered Labeling Tools

Instance Segmentation
  • Fast and ergonomic labeling tools
  • Quality assurance at the pixel level
  • Labeled in the way your model needs it

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OCR Transcription
OCR Transcription
Input
OUTPUT
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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"}])"

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"}]}'

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/1IsLKa2iyIiwnKNby6wtm2HqM1hNHjd-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}]}]

[{"transcription": {
                      "https://docs.google.com/spreadsheets/d/1IsLKa2iyIiwnKNby6wtm2HqM1hNHjd-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}]}]

[{"transcription": {
                      "https://docs.google.com/spreadsheets/d/1IsLKa2iyIiwnKNby6wtm2HqM1hNHjd-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}]}]

Input
OUTPUT
OCR Transcription

Use Cases

With great power comes great responsibility

Financial information transcription

Use OCR for processing automated cheque deposits, annual report collation, translations, and information extraction.

Legal information transcription

OCR can be used to significantly speed up data transcription and collection from contracts, depositions, legal reports and more.

Invoice transcription

Transcribe invoices in a scalable, automated way and free up time for your team to focus on more strategic initiatives.

Menu transcription

Transcribe menus at scale and get great data insights to power food on-demand.

Forms transcription

Automate the transcription and processing of forms.

Claims transcription

Structure documents uploaded to claim files for analytics and efficiency.

Loan applications transcription

Automate loan applications documents transcriptions and speed up loan processing times.

ID transcription

Extract structured text information from government issues IDs, passports, driver licenses.

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