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Instance Segmentation
1
Choose from a library of AI apps or create your own
2
Extract actionable data with guaranteed quality
3
Combine with your preferred tool for end-to-end automation
HOW IT WORKS

Easily connect to your data, define human and AI workflow, and extract information

OCR Transcription
Instance Segmentation
Object Detection
Polygon Annotation
Image categorization
input
OUTPUT
cURL
Python
CLI

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/1IsLKa2iy IiwnKNby6wtm2HqM1hNHjd-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}]}]

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output
OCR TranscriptionOCR TranscriptionOCR Transcription
OCR TranscriptionOCR TranscriptionOCR Transcription
input
OUTPUT
cURL
Python
CLI

curl -X POST \
"https://super.ai/v1/apps/my-image-instance-segmentation/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"image_url":"https://cdn.super.ai/Webflow+assets/image-instance-segmentation-input.jpg"}]}'

dp = DataProgram("image-instance-segmentation")
instance = dp(name="my-image-instance-segmentation", instructions="Segment all the objects in the classes", classes=["background", "building", "lane_marking", "light_pole", "pedestrian_walkway", "road", "pedestrian", "car", "bus", "vehicle_group", "motorcycle", "scooter"])
instance.label(inputs=[{"image_url":"https://cdn.super.ai/Webflow+assets/image-instance-segmentation-input.jpg"}])"

superai client create_jobs \
--app_id my-image-instance-segmentation \
--inputs [{"image_url":"https://cdn.super.ai/Webflow+assets/image-instance-segmentation-input.jpg"}]

[{"combined_mask":"https://i.ibb.co/3kyXzCg/image-instance-segmentation-output.png", "index_mask":"https://i.ibb.co/K6L4NXv/image-semantic-segmentation-output-index-mask.png"}]

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output
Instance SegmentationInstance SegmentationInstance Segmentation
Instance SegmentationInstance SegmentationInstance Segmentation
input
OUTPUT
cURL
Python
CLI

curl -X POST \
"https://super.ai/v1/apps/my-image-bounding-box/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"image_url":"https://cdn.super.ai/Webflow+assets/image-bounding-box-input.jpg"}]}'

dp = DataProgram("image-bounding-box")
instance = dp(name="my-image-bounding-box", instructions="Put a tight bounding box around every product on the shelf.", minWidth=5)
instance.label(inputs=[{"image_url":"https://cdn.super.ai/Webflow+assets/image-bounding-box-input.jpg"}])"

superai client create_jobs \
--app_id my-image-bounding-box \
--inputs [{"image_url":"https://cdn.super.ai/Webflow+assets/image-bounding-box-input.jpg"}]

[{"boxes":[{"width":223,"height":228,"label":"other","left":270,"top":858},{"width":227,"height":230,"label":"other","left":523,"top":864},{"width":222,"height":225,"label":"other","left":760,"top":873},{"width":331,"height":421,"label":"food","left":1101,"top":693},{"width":324,"height":400,"label":"food","left":1480,"top":719},{"width":282,"height":306,"label":"food","left":1846,"top":818},{"width":275,"height":314,"label":"food","left":2299,"top":819},{"width":136,"height":334,"label":"food","left":2651,"top":807},{"width":140,"height":332,"label":"food","left":2799,"top":811},{"width":139,"height":330,"label":"food","left":2945,"top":818},{"width":138,"height":330,"label":"food","left":3100,"top":819},{"width":137,"height":331,"label":"food","left":3257,"top":821},{"width":189,"height":278,"label":"food","left":3438,"top":886},{"width":235,"height":315,"label":"food","left":3597,"top":846},{"width":329,"height":369,"label":"food","left":3841,"top":799},{"width":223,"height":345,"label":"food","left":4223,"top":830},{"width":272,"height":353,"label":"food","left":4673,"top":835},{"width":145,"height":61,"label":"food","left":4704,"top":1544},{"width":152,"height":59,"label":"food","left":4697,"top":1602},{"width":148,"height":59,"label":"food","left":4700,"top":1658},{"width":149,"height":63,"label":"food","left":4706,"top":1711},{"width":150,"height":63,"label":"food","left":4762,"top":1823},{"width":147,"height":59,"label":"food","left":4704,"top":1771},{"width":65,"height":56,"label":"food","left":4704,"top":1828},{"width":145,"height":149,"label":"other","left":4579,"top":1734},{"width":78,"height":47,"label":"food","left":4216,"top":1685},{"width":82,"height":59,"label":"food","left":4275,"top":1682},{"width":93,"height":50,"label":"food","left":4342,"top":1686},{"width":38,"height":50,"label":"food","left":4474,"top":1699},{"width":36,"height":37,"label":"food","left":4438,"top":1700},{"width":152,"height":511,"label":"food","left":3967,"top":1361},{"width":151,"height":518,"label":"food","left":3827,"top":1353},{"width":148,"height":515,"label":"food","left":3526,"top":1352},{"width":107,"height":512,"label":"food","left":3426,"top":1351},{"width":171,"height":388,"label":"food","left":2350,"top":1467},{"width":164,"height":387,"label":"food","left":2184,"top":1460},{"width":172,"height":385,"label":"food","left":2012,"top":1457},{"width":153,"height":462,"label":"food","left":1853,"top":1378},{"width":318,"height":521,"label":"food","left":1471,"top":1316},{"width":349,"height":491,"label":"food","left":1033,"top":1338},{"width":292,"height":495,"label":"food","left":695,"top":1326},{"width":292,"height":502,"label":"food","left":439,"top":1311},{"width":256,"height":484,"label":"food","left":223,"top":1328},{"width":161,"height":530,"label":"other","left":0,"top":1278},{"width":144,"height":307,"label":"other","left":0,"top":2250},{"width":349,"height":511,"label":"food","left":321,"top":2080},{"width":301,"height":505,"label":"food","left":663,"top":2094},{"width":338,"height":519,"label":"food","left":1072,"top":1953},{"width":311,"height":536,"label":"food","left":1466,"top":1948},{"width":156,"height":500,"label":"other","left":1815,"top":2112},{"width":150,"height":497,"label":"other","left":1965,"top":2115},{"width":153,"height":500,"label":"other","left":2110,"top":2116},{"width":150,"height":499,"label":"other","left":2434,"top":2128},{"width":348,"height":349,"label":"food","left":3415,"top":2022},{"width":103,"height":336,"label":"food","left":3730,"top":2026},{"width":109,"height":340,"label":"food","left":3828,"top":2026},{"width":165,"height":349,"label":"food","left":3968,"top":2027},{"width":277,"height":81,"label":"other","left":4212,"top":2207},{"width":241,"height":62,"label":"other","left":4213,"top":2235},{"width":207,"height":37,"label":"other","left":4208,"top":2282},{"width":150,"height":71,"label":"food","left":4419,"top":2064},{"width":151,"height":68,"label":"food","left":4440,"top":2134},{"width":149,"height":67,"label":"food","left":4444,"top":2194},{"width":142,"height":57,"label":"food","left":4449,"top":2261},{"width":47,"height":63,"label":"food","left":4410,"top":2124},{"width":48,"height":60,"label":"food","left":4400,"top":2185},{"width":288,"height":49,"label":"food","left":4569,"top":2069},{"width":276,"height":41,"label":"food","left":4569,"top":2112},{"width":290,"height":48,"label":"food","left":4622,"top":2157},{"width":291,"height":43,"label":"food","left":4624,"top":2203},{"width":293,"height":46,"label":"food","left":4622,"top":2240},{"width":298,"height":45,"label":"food","left":4618,"top":2280},{"width":43,"height":37,"label":"food","left":4586,"top":2156},{"width":40,"height":37,"label":"food","left":4586,"top":2195},{"width":41,"height":36,"label":"food","left":4582,"top":2234},{"width":38,"height":45,"label":"food","left":4584,"top":2268},{"width":329,"height":262,"label":"food","left":4578,"top":2561},{"width":332,"height":252,"label":"food","left":4578,"top":2820},{"width":377,"height":473,"label":"food","left":4207,"top":2592},{"width":166,"height":83,"label":"food","left":4680,"top":3245},{"width":140,"height":91,"label":"food","left":4504,"top":3237},{"width":107,"height":151,"label":"food","left":4054,"top":2487},{"width":93,"height":140,"label":"food","left":3959,"top":2490},{"width":149,"height":68,"label":"food","left":3825,"top":2530},{"width":123,"height":78,"label":"food","left":3766,"top":2542},{"width":88,"height":77,"label":"food","left":3700,"top":2547},{"width":69,"height":70,"label":"food","left":3670,"top":2558},{"width":78,"height":53,"label":"food","left":3601,"top":2544},{"width":68,"height":33,"label":"food","left":3626,"top":2596},{"width":67,"height":35,"label":"food","left":3772,"top":2596},{"width":87,"height":54,"label":"food","left":3523,"top":2554},{"width":69,"height":34,"label":"food","left":3551,"top":2596},{"width":80,"height":56,"label":"food","left":3476,"top":2572},{"width":97,"height":62,"label":"food","left":3416,"top":2571},{"width":155,"height":57,"label":"food","left":3742,"top":2929},{"width":164,"height":76,"label":"food","left":3700,"top":2858},{"width":189,"height":64,"label":"food","left":3681,"top":2798},{"width":178,"height":62,"label":"food","left":3878,"top":2810},{"width":197,"height":47,"label":"food","left":3902,"top":2865},{"width":359,"height":256,"label":"food","left":2210,"top":2791},{"width":337,"height":94,"label":"food","left":1816,"top":2695},{"width":346,"height":257,"label":"food","left":1804,"top":2790},{"width":148,"height":434,"label":"other","left":1286,"top":2609},{"width":151,"height":434,"label":"other","left":1143,"top":2608},{"width":146,"height":434,"label":"other","left":1001,"top":2609},{"width":728,"height":297,"label":"other","left":190,"top":2740},{"width":294,"height":355,"label":"food","left":3084,"top":321},{"width":277,"height":349,"label":"food","left":3452,"top":337},{"width":267,"height":344,"label":"food","left":3844,"top":350},{"width":290,"height":341,"label":"food","left":4619,"top":371},{"width":77,"height":48,"label":"other","left":33,"top":1032}]}]

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output
Object DetectionObject DetectionObject Detection
Object DetectionObject DetectionObject Detection
input
OUTPUT
cURL
Python
CLI

curl -X POST \
"https://super.ai/v1/apps/my-image-polygon/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"image_url":"https://cdn.super.ai/Webflow+assets/image-polygon-input.jpg"}]}'

dp = DataProgram("image-polygon")
instance = dp(name="my-image-polygon", instructions="Put a tight polygon around all teeth", minVertices=3)
instance.label(inputs=[{"image_url":"https://cdn.super.ai/Webflow+assets/image-polygon-input.jpg"}])""

superai client create_jobs \
--app_id my-image-polygon \
--inputs [{"image_url":"https://cdn.super.ai/Webflow+assets/image-polygon-input.jpg"}]

[{"vertices": [{"x":515.177,"y":365.024},{"x":513.427,"y":369.337},{"x":511.677,"y":371.149},{"x":507.594,"y":375.274},{"x":499.844,"y":385.941},{"x":495.861,"y":392.504},{"x":494.939,"y":395.379},{"x":494.704,"y":397.066},{"x":494.407,"y":398.691},{"x":494.365,"y":400.85},{"x":494.136,"y":403.009},{"x":493.928,"y":406.577},{"x":493.907,"y":409.52},{"x":493.949,"y":411.775},{"x":494.241,"y":414.107},{"x":494.845,"y":415.691},{"x":495.053,"y":418.982},{"x":495.845,"y":422.139},{"x":496.511,"y":424.795},{"x":498.071,"y":426.355},{"x":499.774,"y":428.767},{"x":500.876,"y":429.514},{"x":502.615,"y":430.15},{"x":503.71,"y":430.431},{"x":504.552,"y":429.941},{"x":505.303,"y":429.545},{"x":506.032,"y":429.181},{"x":506.761,"y":428.691},{"x":507.97,"y":431.401},{"x":508.918,"y":433.223},{"x":509.991,"y":434.608},{"x":512.488,"y":434.562},{"x":515.361,"y":434.64},{"x":519.23,"y":434.546},{"x":523.344,"y":434.608},{"x":526.844,"y":437.441},{"x":530.844,"y":441.441},{"x":534.844,"y":455.441},{"x":541.844,"y":462.441},{"x":559.344,"y":455.941},{"x":565.844,"y":456.108},{"x":576.345,"y":454.338},{"x":577.73,"y":453.65},{"x":579.204,"y":452.525},{"x":580.565,"y":451.338},{"x":582.677,"y":449.025},{"x":585.594,"y":446.15},{"x":587.302,"y":444.15},{"x":588.094,"y":443.15},{"x":588.885,"y":442.025},{"x":593.844,"y":425.775},{"x":595.844,"y":399.108},{"x":597.594,"y":386.067},{"x":598.594,"y":379.046},{"x":598.969,"y":371.91},{"x":599.72,"y":366.843},{"x":600.454,"y":365.076},{"x":600.813,"y":363.809},{"x":601.907,"y":360.088},{"x":603.387,"y":354.942},{"x":605.47,"y":351.733},{"x":606.074,"y":348.67},{"x":606.293,"y":338.806},{"x":606.069,"y":331.29},{"x":604.511,"y":324.441},{"x":582.511,"y":322.108},{"x":557.177,"y":321.441},{"x":545.24,"y":323.129},{"x":539.302,"y":321.566},{"x":531.865,"y":321.629},{"x":529.209,"y":321.972},{"x":525.677,"y":321.941},{"x":525.177,"y":338.441},{"x":524.719,"y":346.42},{"x":524.49,"y":350.993},{"x":523.844,"y":354.566},{"x":521.885,"y":359.296},{"x":519.511,"y":363.108},{"x":517.094,"y":364.024}]}, ...]

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output
Polygon AnnotationPolygon AnnotationPolygon Annotation
Polygon AnnotationPolygon AnnotationPolygon Annotation
input
OUTPUT
cURL
Python
CLI

curl -X POST \
"https://super.ai/v1/apps/my-image-single-choice/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"image_url":"https://cdn.super.ai/Webflow+assets/woman-in-gray-tank-top-shouting-3812761.jpg"}]}'

dp = DataProgram("image-single-choice")
instance = dp(name="my-image-single-choice", instructions="Choose the most aplicable emotion for the following human face")
instance.label(inputs=[{"image_url":"https://cdn.super.ai/Webflow+assets/woman-in-gray-tank-top-shouting-3812761.jpg"}])

superai client create_jobs \
--app_id my-image-single-choice \
--inputs [{"image_url":"https://cdn.super.ai/Webflow+assets/woman-in-gray-tank-top-shouting-3812761.jpg"}]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "happy"
       },
       {
         "tag": "1",
         "value": "sad"
       },
       {
         "tag": "2",
         "value": "angry"
       }
     ],
     "selection": {
       "tag": "2",
       "value": "angry"
     }
   }
 }
]

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output
Image categorizationImage categorizationImage categorization
Image categorizationImage categorizationImage categorization
USE CASES

What can AI do for image processing?

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Product Listing Quality Assurance
Product Listing Quality Assurance

Quickly analyze e-commerce product listings to ensure quality standards are met.

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Product Image Categorization
Product Image Categorization

Intelligently organize products using tags automatically generated from images.

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Claim Document Transcription
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Automate insurance claims document transcription to improve accuracy and efficiency.

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Product Tagging
Product Tagging

Automatically generate detailed tags and product metadata from images.

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Image PII Redaction
Image PII Redaction

Detect and redact personally identifiable information (PII) from images including license plates, faces, social security numbers, and more.

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Data Plate Extraction
Data Plate Extraction

Quickly extract key information (e.g., name, make, serial number, etc.) from product and equipment nameplates.

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CASE STUDIES

You are in great company

Agriculture
Optimizing Fertilizer Usage for Triputra
Triputra is a Southeast Asian conglomerate with an agriculture focus. The company had not done any prior ML projects and it approached super.AI as it was looking to apply fertilizer on its trees in a more efficient manner. After working with us on a Computer Vision model identifying trees and their features, they were able to decrease the fertilizer usage by 20%
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Retail
Automating Product Content QA for Target
Target, one of the largest retailers in the U.S., needed to leverage multiple data inputs to build a useful product recommendation engine and ensure product listing quality for its e-commerce business. Through its partnership with super.AI, the company was able to automatically categorize product images and score product listing quality using artificial intelligence (AI). This information was then used to flag product listings that do not satisfy quality standards as well as make relevant product recommendations.
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TIC
Automating Data Plate Extraction for Global TIC Company
A global leader in testing, inspection, and certification (TIC) needed to automate a core process of their asset management business. The company partnered with super.AI to automate nameplate data extraction and entry, drastically accelerating data capture time while improving accuracy.
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HOW DO I USE IT?
Upload data
Add data from your local computer, from URLs, from JSON, from your cloud provider, on-premise data center, or programatically from Python, cURL,  or the CLI.
Customize instructions
Describe what you want done, output classes, edge cases, and things that are important for you. Humans will use this to train the AI.
Set desired performance
Choose your desired quality, cost, and speed. super.AI will guarantee this level of quality using humans and AI.
Get results
View, edit, delete, mark as correct or incorrect, and download all of your data.
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Upload data
Customize instructions
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Set desired performance
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Get results
WHO WE ARE

This is Super.AI

Guaranteed AI performance
Our data programming and adaptable Meta AI make it possible to guarantee output quality. Simply select a performance threshold and let us do the rest.
Guaranteed AI performance
Built for non-technical users
Built for non-technical users
AI doesn't have to be complicated. Business users can take advantage of our no-code interface. Complete integrations once and we'll handle the rest.
Leverage AI, bot, and human workers
Combine multiple sources of supervision to achieve your desired quality threshold. The system automatically improves accuracy and increases automation over time.
Leverage AI, bot, and human workers