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OCR Transcription
OCR Transcription
Instance Segmentation
Instance Segmentation
Object Detection
Object Detection
Polygon Annotation
Polygon Annotation
Image categorization
Image categorization
Intent Variation
Intent Variation
Email Understanding
Email Understanding
Named Entity Recognition
Named Entity Recognition
Entity Linking
Entity Linking
Video Polygon Annotation
Polygon Annotation
Video Instance Segmentation
Instance Segmentation
Video Bounding Box
Video Bounding Box
Video anonymization
Video anonymization
Speaker Recognition
Speaker Recognition
Audio Transcription
Audio Transcription
Audio Understanding
Audio Understanding
Audio Verification
Audio Verification
Audio Moderation
Audio Moderation
Call transcription
Call transcription
Call rating
Call rating
Audio taxonomy
Audio taxonomy
Audio recording based on prompt
Audio recording
Audio anonymization
Audio Anonymization
Cuboid Annotation
Cuboid Annotation
Video Object Detection
Object Detection
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

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
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-single-choice")
instance = dp(name="my-audio-single-choice", instructions="Please identify the famous person giving this speech.")
instance.label(inputs=[{"audio_url":"https://s3.amazonaws.com/cdn.canotic.com/Webflow+assets/Speaker+recognition+input.mp3"}])""

curl -X POST \
"https://super.ai/v1/apps/my-audio-single-choice/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"audio_url":"https://s3.amazonaws.com/cdn.canotic.com/Webflow+assets/Speaker+recognition+input.mp3"}]}'

superai client create_jobs \
--app_id my-audio-single-choice \
--inputs [{"audio_url":"https://s3.amazonaws.com/cdn.canotic.com/Webflow+assets/Speaker+recognition+input.mp3"}]

[{"speaker": "Dr. Martin Luther King", "certainty":0.99}]

[{"speaker": "Dr. Martin Luther King", "certainty":0.99}]

[{"speaker": "Dr. Martin Luther King", "certainty":0.99}]

Input
OUTPUT
Speaker Recognition
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("text-text")
instance = dp(name="my-text-text", instructions="Please clarify the intent of the following question by providing alternative questions to it.")
instance.label(inputs=[{"intent": "How long is your store normally open?"}])""

curl -X POST \
"https://super.ai/v1/apps/my-text-text/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"intent": "How long is your store normally open?"}]}'

superai client create_jobs \
--app_id my-text-text \
--inputs [{"intent": "How long is your store normally open?"}]

[{'variations': ["What are your business hours?",
"What are your hours of operation?",
"What time does your store open and close?",
"What are typical business hours?",
"What are your store's hours?",
"What are your store's opening times?"]}]

[{'variations': ["What are your business hours?",
"What are your hours of operation?",
"What time does your store open and close?",
"What are typical business hours?",
"What are your store's hours?",
"What are your store's opening times?"]}]

[{'variations': ["What are your business hours?",
"What are your hours of operation?",
"What time does your store open and close?",
"What are typical business hours?",
"What are your store's hours?",
"What are your store's opening times?"]}]

Input
OUTPUT
Intent Variation
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

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"}])"

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"}]}'

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"}]

[{"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"}]

[{"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"}]

Input
OUTPUT
Instance Segmentation
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

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"}])"

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"}]}'

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

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

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Input
OUTPUT
Polygon Annotation
Input
OUTPUT
Thank you! Your submission has been received!
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dp = DataProgram("video-polygon")
instance = dp(name="my-video-polygon", instructions="Draw a tight polygon around each car")
instance.label(inputs=[{"video_url":"https://cdn.super.ai/Webflow+assets/video-polygon-input.mp4"}])""

curl -X POST \
"https://super.ai/v1/apps/my-video-polygon/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"video_url":"https://cdn.super.ai/Webflow+assets/video-polygon-input.mp4"}]}'

superai client create_jobs \
--app_id my-video-polygon \
--inputs [{"video_url":"https://cdn.super.ai/Webflow+assets/video-polygon-input.mp4"}]

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Input
OUTPUT
Video Polygon Annotation
Input
OUTPUT
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dp = DataProgram("video-instance-segmentation")
instance = dp(name="my-video-instance-segmentation", instructions="Please segment the image using the given labels. It is a part of a sequence.")
instance.label(inputs=[{"video_url":"https://cdn.super.ai/Webflow+assets/video-instance-segmentation_input.mp4"}])""

curl -X POST \
"https://super.ai/v1/apps/my-video-instance-segmentation/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"video_url":"https://cdn.super.ai/Webflow+assets/video-instance-segmentation_input.mp4"}]}'

superai client create_jobs \
--app_id my-video-instance-segmentation \
--inputs [{"video_url":"https://cdn.super.ai/Webflow+assets/video-instance-segmentation_input.mp4"}]

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Input
OUTPUT
Video Instance Segmentation
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-text")
instance = dp(name="my-audio-text", instructions="Please transcribe the audio file.")
instance.label(inputs=[{"audio_url":"https://cdn.super.ai/Webflow+assets/audio-transcription.mp3"}])"

curl -X POST \
"https://super.ai/v1/apps/my-audio-text/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"audio_url":"https://cdn.super.ai/Webflow+assets/audio-transcription.mp3"}]}'

superai client create_jobs \
--app_id my-audio-text \
--inputs [{"audio_url":"https://cdn.super.ai/Webflow+assets/audio-transcription.mp3"}]

[{"transcription": "Sometimes life is going to hit you in the head with a brick, don't lose faith. I'm convinced that the only thing that kept me going was that I loved what I did. You've got to find what you love, and that is as true for your work as it is for your lovers. Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work, and the only way to do great work is to love what you do. If you haven't found it yet, keep looking and don't settle. As with all matters of the heart, you'll know when you find it. And like any great relationship, it just gets better and better as the years roll on, so keep looking - don't settle.

(SOUNDBITE OF APPLAUSE)"}]

[{"transcription": "Sometimes life is going to hit you in the head with a brick, don't lose faith. I'm convinced that the only thing that kept me going was that I loved what I did. You've got to find what you love, and that is as true for your work as it is for your lovers. Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work, and the only way to do great work is to love what you do. If you haven't found it yet, keep looking and don't settle. As with all matters of the heart, you'll know when you find it. And like any great relationship, it just gets better and better as the years roll on, so keep looking - don't settle.

(SOUNDBITE OF APPLAUSE)"}]

[{"transcription": "Sometimes life is going to hit you in the head with a brick, don't lose faith. I'm convinced that the only thing that kept me going was that I loved what I did. You've got to find what you love, and that is as true for your work as it is for your lovers. Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work, and the only way to do great work is to love what you do. If you haven't found it yet, keep looking and don't settle. As with all matters of the heart, you'll know when you find it. And like any great relationship, it just gets better and better as the years roll on, so keep looking - don't settle.

(SOUNDBITE OF APPLAUSE)"}]

Input
OUTPUT
Audio Transcription
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("location-cuboid")
instance = dp(name="my-location-cuboid", instructions="Please add cuboids on the containers in the image.")
instance.label(inputs=[{"image_url":"https://cdn.super.ai/Webflow+assets/cuboid_annotation_input.jpeg"}])""

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

superai client create_jobs \
--app_id my-location-cuboid \
--inputs [{"image_url":"https://cdn.super.ai/Webflow+assets/cuboid_annotation_input.jpeg"}]

{"cuboids":[ {"face-top-left": {"x":193.5793800324163, "y":298.1568889306832}, {"face-bottom-left": {"x":244.11891205905488, "y":298.1568889306832},{"face-top-right": {"x":244.11891205905488, "y":307.4102774404178},{"face-bottom-right": {"x":193.5793800324163, "y":307.4102774404178},{"side-top-corner": {"x":193.93877293980577, "y":297.729921229145},{"side-bottom-corner": {"x":245.73320386076887,"y":297.729921229145}],[{"face-top-left": {"x":193.79478526234706, "y":288.96904995895636},{"face-bottom-left": {"x":244.0219166602396, "y":288.96904995895636},{"face-top-right": {"x":244.0219166602396, "y":298.99185459623124},{"face-bottom-right": {"x":198.6508539542644, "y":288.2519728425197},{"side-top-corner": {"x":245.747010988968, "y":288.2519728425197},{"side-bottom-corner": {"x":245.747010988968, "y":298.565081918934}]}

{"cuboids":[ {"face-top-left": {"x":193.5793800324163, "y":298.1568889306832}, {"face-bottom-left": {"x":244.11891205905488, "y":298.1568889306832},{"face-top-right": {"x":244.11891205905488, "y":307.4102774404178},{"face-bottom-right": {"x":193.5793800324163, "y":307.4102774404178},{"side-top-corner": {"x":193.93877293980577, "y":297.729921229145},{"side-bottom-corner": {"x":245.73320386076887,"y":297.729921229145}],[{"face-top-left": {"x":193.79478526234706, "y":288.96904995895636},{"face-bottom-left": {"x":244.0219166602396, "y":288.96904995895636},{"face-top-right": {"x":244.0219166602396, "y":298.99185459623124},{"face-bottom-right": {"x":198.6508539542644, "y":288.2519728425197},{"side-top-corner": {"x":245.747010988968, "y":288.2519728425197},{"side-bottom-corner": {"x":245.747010988968, "y":298.565081918934}]}

{"cuboids":[ {"face-top-left": {"x":193.5793800324163, "y":298.1568889306832}, {"face-bottom-left": {"x":244.11891205905488, "y":298.1568889306832},{"face-top-right": {"x":244.11891205905488, "y":307.4102774404178},{"face-bottom-right": {"x":193.5793800324163, "y":307.4102774404178},{"side-top-corner": {"x":193.93877293980577, "y":297.729921229145},{"side-bottom-corner": {"x":245.73320386076887,"y":297.729921229145}],[{"face-top-left": {"x":193.79478526234706, "y":288.96904995895636},{"face-bottom-left": {"x":244.0219166602396, "y":288.96904995895636},{"face-top-right": {"x":244.0219166602396, "y":298.99185459623124},{"face-bottom-right": {"x":198.6508539542644, "y":288.2519728425197},{"side-top-corner": {"x":245.747010988968, "y":288.2519728425197},{"side-bottom-corner": {"x":245.747010988968, "y":298.565081918934}]}

Input
OUTPUT
Cuboid Annotation
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-multiple-choice")
instance = dp(name="my-audio-multiple-choice", instructions="Please select the most accurate description of the speaker in this audio file")
instance.label(inputs=[{"audio_url":"https://cdn.super.ai/Webflow+assets/Audio+understanding+input.mov"}])"

curl -X POST \
"https://super.ai/v1/apps/my-audio-multiple-choice/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"audio_url":"https://cdn.super.ai/Webflow+assets/Audio+understanding+input.mov"}]}'

superai client create_jobs \
--app_id my-audio-multiple-choice \
--inputs [{"audio_url":"https://cdn.super.ai/Webflow+assets/Audio+understanding+input.mov"}]

[{"gender": {"value":"male", "certainty":0.99}, "age_lower_bound":{"value":30, "certainty":0.4}, "age_upper_bound": {"value":60, "certainty":0.5}, "accent": {"value":"Southern, USA", "certainty":0.8},  "race": {"value":"white", "certainty":0.6}}]

[{"gender": {"value":"male", "certainty":0.99}, "age_lower_bound":{"value":30, "certainty":0.4}, "age_upper_bound": {"value":60, "certainty":0.5}, "accent": {"value":"Southern, USA", "certainty":0.8},  "race": {"value":"white", "certainty":0.6}}]

[{"gender": {"value":"male", "certainty":0.99}, "age_lower_bound":{"value":30, "certainty":0.4}, "age_upper_bound": {"value":60, "certainty":0.5}, "accent": {"value":"Southern, USA", "certainty":0.8},  "race": {"value":"white", "certainty":0.6}}]

Input
OUTPUT
Audio Understanding
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-number")
instance = dp(name="my-audio-number", instructions="Please rate the similarity between the 2 audio files on a range of 0 to 1, with 1 being identical.")
instance.label(inputs=[{"audio_url1":"https://cdn.super.ai/Webflow+assets/audio_verification_input1.m4a", "audio_url2":"https://cdn.super.ai/Webflow+assets/audio+verification_input2.m4a"}])"

curl -X POST \
"https://super.ai/v1/apps/my-audio-number/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"audio_url1":"https://cdn.super.ai/Webflow+assets/audio_verification_input1.m4a", "audio_url2":"https://cdn.super.ai/Webflow+assets/audio+verification_input2.m4a"}]}'

superai client create_jobs \
--app_id my-audio-number \
--inputs [{"audio_url1":"https://cdn.super.ai/Webflow+assets/audio_verification_input1.m4a", "audio_url2":"https://cdn.super.ai/Webflow+assets/audio+verification_input2.m4a"}]

[{"matchCertainty":0.95}]

[{"matchCertainty":0.95}]

[{"matchCertainty":0.95}]

Input
OUTPUT
Audio Verification
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("text-tagging")
instance = dp(name="my-text-tagging", instructions="Extract all necessary information for customer service requests..")
instance.label(inputs=[{"email_url": "https://cdn.super.ai/Webflow+assets/email-understanding-input.png"}])"

curl -X POST \
"https://super.ai/v1/apps/my-test-tagging/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"email_url": "https://cdn.super.ai/Webflow+assets/email-understanding-input.png"}]}'

superai client create_jobs \
--app_id my-test-tagging \
--inputs [{"email_url": "https://cdn.super.ai/Webflow+assets/email-understanding-input.png"}]

[{"intent":"missing suitcase inquiry", "flightNumber": "AA5432", "start":"Berlin, Berlin, DE", "end":"Seattle, Washington, USA", "date":"14.01.2020", "priority":"high"}]

[{"intent":"missing suitcase inquiry", "flightNumber": "AA5432", "start":"Berlin, Berlin, DE", "end":"Seattle, Washington, USA", "date":"14.01.2020", "priority":"high"}]

[{"intent":"missing suitcase inquiry", "flightNumber": "AA5432", "start":"Berlin, Berlin, DE", "end":"Seattle, Washington, USA", "date":"14.01.2020", "priority":"high"}]

Input
OUTPUT
Email Understanding
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("text-span")
instance = dp(name="my-text-span", instructions="Find all entities in text.")
instance.label(inputs=[{"text":"I remember I was driving Steve Jobs back from the airport along Highway 85. Steve was coming back from a visit to Oregon to a place he called an “apple orchard.” It was actually some kind of commune. Steve suggested a name – Apple Computer."}])"

curl -X POST \
"https://super.ai/v1/apps/my-text-span/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"text":"I remember I was driving Steve Jobs back from the airport along Highway 85. Steve was coming back from a visit to Oregon to a place he called an “apple orchard.” It was actually some kind of commune. Steve suggested a name – Apple Computer."}]}'

superai client create_jobs \
--app_id my-text-span \
--inputs [{"text":"I remember I was driving Steve Jobs back from the airport along Highway 85. Steve was coming back from a visit to Oregon to a place he called an “apple orchard.” It was actually some kind of commune. Steve suggested a name – Apple Computer."}]

{
   "spans": [
     {
       "end": 34,
       "tag": "0",
       "start": 25
     },
     {
       "end": 80,
       "tag": "0",
       "start": 76
     },
     {
       "end": 119,
       "tag": "1",
       "start": 114
     },
     {
       "end": 150,
       "tag": "2",
       "start": 146
     },
     {
       "end": 205,
       "tag": "0",
       "start": 210
     },
     {
       "end": 238,
       "tag": "3",
       "start": 226
     }
   ],
   "entities": [
     {
       "tag": "0",
       "value": "Person"
     },
     {
       "tag": "1",
       "value": "State"
     },
     {
       "tag": "2",
       "value": "Fruit"
     },
     {
       "tag": "3",
       "value": "Organization"
     }
   ]
}

{
   "spans": [
     {
       "end": 34,
       "tag": "0",
       "start": 25
     },
     {
       "end": 80,
       "tag": "0",
       "start": 76
     },
     {
       "end": 119,
       "tag": "1",
       "start": 114
     },
     {
       "end": 150,
       "tag": "2",
       "start": 146
     },
     {
       "end": 205,
       "tag": "0",
       "start": 210
     },
     {
       "end": 238,
       "tag": "3",
       "start": 226
     }
   ],
   "entities": [
     {
       "tag": "0",
       "value": "Person"
     },
     {
       "tag": "1",
       "value": "State"
     },
     {
       "tag": "2",
       "value": "Fruit"
     },
     {
       "tag": "3",
       "value": "Organization"
     }
   ]
}

{
   "spans": [
     {
       "end": 34,
       "tag": "0",
       "start": 25
     },
     {
       "end": 80,
       "tag": "0",
       "start": 76
     },
     {
       "end": 119,
       "tag": "1",
       "start": 114
     },
     {
       "end": 150,
       "tag": "2",
       "start": 146
     },
     {
       "end": 205,
       "tag": "0",
       "start": 210
     },
     {
       "end": 238,
       "tag": "3",
       "start": 226
     }
   ],
   "entities": [
     {
       "tag": "0",
       "value": "Person"
     },
     {
       "tag": "1",
       "value": "State"
     },
     {
       "tag": "2",
       "value": "Fruit"
     },
     {
       "tag": "3",
       "value": "Organization"
     }
   ]
}

Input
OUTPUT
Named Entity Recognition
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("text-relationship")
instance = dp(name="my-text-relationship", instructions="Find all relationships in text.")
instance.label(inputs=[{"text":"Citibank, which was involved in moving about $100 million for Raul Salinas de Gortari, brother of a former Mexican President, to banks in Switzerland, are also expected to sign on."}])"

curl -X POST \
"https://super.ai/v1/apps/my-text-relationship/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"text":"Citibank, which was involved in moving about $100 million for Raul Salinas de Gortari, brother of a former Mexican President, to banks in Switzerland, are also expected to sign on."}]}'

superai client create_jobs \
--app_id my-text-relationship \
--inputs [{"text":"Citibank, which was involved in moving about $100 million for Raul Salinas de Gortari, brother of a former Mexican President, to banks in Switzerland, are also expected to sign on."}]

{
  "relationships":[
     {
        "end":"0",
        "relationship":"GIVER",
        "start":"1"
     },
     {
        "end":"2",
        "relationship":"MONEY",
        "start":"1"
     },
     {
        "end":"3",
        "relationship":"BENEFICIARY",
        "start":"1"
     },
     {
        "end":"4",
        "relationship":"RECEPIENT",
        "start":"1"
     },
     {
        "end":"4",
        "relationship":"FAMILY",
        "start":"3"
     },
     {
        "end":"6",
        "relationship":"ORIGIN",
        "start":"5"
     }
  ],
  "entities":[
     {
        "tag":"0",
        "value":"Organization",
        "startIndex":0,
        "endIndex":7
     },
     {
        "tag":"1",
        "value":"Transfer",
        "startIndex":32,
        "endIndex":37
     },
     {
        "tag":"2",
        "value":"Money",
        "startIndex":45,
        "endIndex":56
     },
     {
        "tag":"3",
        "value":"Person",
        "startIndex":62,
        "endIndex":84
     },
     {
        "tag":"4",
        "value":"Person",
        "startIndex":100,
        "endIndex":123
     },
     {
        "tag":"5",
        "value":"Organization",
        "startIndex":129,
        "endIndex":133
     },
     {
        "tag":"6",
        "value":"GPE",
        "startIndex":138,
        "endIndex":148
     }
  ]
}

{
  "relationships":[
     {
        "end":"0",
        "relationship":"GIVER",
        "start":"1"
     },
     {
        "end":"2",
        "relationship":"MONEY",
        "start":"1"
     },
     {
        "end":"3",
        "relationship":"BENEFICIARY",
        "start":"1"
     },
     {
        "end":"4",
        "relationship":"RECEPIENT",
        "start":"1"
     },
     {
        "end":"4",
        "relationship":"FAMILY",
        "start":"3"
     },
     {
        "end":"6",
        "relationship":"ORIGIN",
        "start":"5"
     }
  ],
  "entities":[
     {
        "tag":"0",
        "value":"Organization",
        "startIndex":0,
        "endIndex":7
     },
     {
        "tag":"1",
        "value":"Transfer",
        "startIndex":32,
        "endIndex":37
     },
     {
        "tag":"2",
        "value":"Money",
        "startIndex":45,
        "endIndex":56
     },
     {
        "tag":"3",
        "value":"Person",
        "startIndex":62,
        "endIndex":84
     },
     {
        "tag":"4",
        "value":"Person",
        "startIndex":100,
        "endIndex":123
     },
     {
        "tag":"5",
        "value":"Organization",
        "startIndex":129,
        "endIndex":133
     },
     {
        "tag":"6",
        "value":"GPE",
        "startIndex":138,
        "endIndex":148
     }
  ]
}

{
  "relationships":[
     {
        "end":"0",
        "relationship":"GIVER",
        "start":"1"
     },
     {
        "end":"2",
        "relationship":"MONEY",
        "start":"1"
     },
     {
        "end":"3",
        "relationship":"BENEFICIARY",
        "start":"1"
     },
     {
        "end":"4",
        "relationship":"RECEPIENT",
        "start":"1"
     },
     {
        "end":"4",
        "relationship":"FAMILY",
        "start":"3"
     },
     {
        "end":"6",
        "relationship":"ORIGIN",
        "start":"5"
     }
  ],
  "entities":[
     {
        "tag":"0",
        "value":"Organization",
        "startIndex":0,
        "endIndex":7
     },
     {
        "tag":"1",
        "value":"Transfer",
        "startIndex":32,
        "endIndex":37
     },
     {
        "tag":"2",
        "value":"Money",
        "startIndex":45,
        "endIndex":56
     },
     {
        "tag":"3",
        "value":"Person",
        "startIndex":62,
        "endIndex":84
     },
     {
        "tag":"4",
        "value":"Person",
        "startIndex":100,
        "endIndex":123
     },
     {
        "tag":"5",
        "value":"Organization",
        "startIndex":129,
        "endIndex":133
     },
     {
        "tag":"6",
        "value":"GPE",
        "startIndex":138,
        "endIndex":148
     }
  ]
}

Input
OUTPUT
Entity Linking
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("video-bounding-box")
instance = dp(name="my-video-bounding-box", instructions="Draw a tight bounding box for only products she grabs in her hand, and for a product in the basket when she lets go.")
instance.label(inputs=[{"video_url":"https://cdn.super.ai/Webflow+assets/video-bounding-box-input_groceries.mp4"}])""

curl -X POST \
"https://super.ai/v1/apps/my-video-bounding-box/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[Draw a tight bounding box for only products she grabs in her hand, and for a product in the basket when she lets go.]}'

superai client create_jobs\
--app_id my-video-bounding-box \
--inputs [Draw a tight bounding box for only products she grabs in her hand, and for a product in the basket when she lets go.]

[
  {
     "boxes":[
        [
           {
              "width":143,
              "height":114,
              "label":"product_in_hand",
              "left":1063,
              "top":440
           }
        ],
        [
           {
              "width":137,
              "height":92,
              "label":"product_in_hand",
              "left":1069,
              "top":439
           }
        ],
        [
           {
              "width":132,
              "height":86,
              "label":"product_in_hand",
              "left":1069,
              "top":441
           }
        ],
        [
           {
              "width":141,
              "height":101,
              "label":"product_in_hand",
              "left":1066,
              "top":439
           }
        ],
        [
           {
              "width":147,
              "height":120,
              "label":"product_in_hand",
              "left":1058,
              "top":441
           }
        ],
        [
           {
              "width":133,
              "height":87,
              "label":"product_in_hand",
              "left":1065,
              "top":443
           }
        ],
        [
           {
              "width":146,
              "height":104,
              "label":"product_in_hand",
              "left":1058,
              "top":443
           }
        ],
        [
           {
              "width":147,
              "height":65,
              "label":"product_in_hand",
              "left":1062,
              "top":443
           }
        ],
        [
           {
              "width":144,
              "height":124,
              "label":"product_in_hand",
              "left":1056,
              "top":445
           }
        ],
        [
           {
              "width":133,
              "height":91,
              "label":"product_in_hand",
              "left":1063,
              "top":448
           }
        ],
        [
           {
              "width":134,
              "height":103,
              "label":"product_in_hand",
              "left":1061,
              "top":449
           }
        ],
        [
           {
              "width":145,
              "height":99,
              "label":"product_in_hand",
              "left":1046,
              "top":446
           }
        ],
        [
           {
              "width":139,
              "height":110,
              "label":"product_in_hand",
              "left":1032,
              "top":432
           }
        ],
        [
           {
              "width":138,
              "height":128,
              "label":"product_in_hand",
              "left":1003,
              "top":396
           }
        ]
     ]
  }
]

[
  {
     "boxes":[
        [
           {
              "width":143,
              "height":114,
              "label":"product_in_hand",
              "left":1063,
              "top":440
           }
        ],
        [
           {
              "width":137,
              "height":92,
              "label":"product_in_hand",
              "left":1069,
              "top":439
           }
        ],
        [
           {
              "width":132,
              "height":86,
              "label":"product_in_hand",
              "left":1069,
              "top":441
           }
        ],
        [
           {
              "width":141,
              "height":101,
              "label":"product_in_hand",
              "left":1066,
              "top":439
           }
        ],
        [
           {
              "width":147,
              "height":120,
              "label":"product_in_hand",
              "left":1058,
              "top":441
           }
        ],
        [
           {
              "width":133,
              "height":87,
              "label":"product_in_hand",
              "left":1065,
              "top":443
           }
        ],
        [
           {
              "width":146,
              "height":104,
              "label":"product_in_hand",
              "left":1058,
              "top":443
           }
        ],
        [
           {
              "width":147,
              "height":65,
              "label":"product_in_hand",
              "left":1062,
              "top":443
           }
        ],
        [
           {
              "width":144,
              "height":124,
              "label":"product_in_hand",
              "left":1056,
              "top":445
           }
        ],
        [
           {
              "width":133,
              "height":91,
              "label":"product_in_hand",
              "left":1063,
              "top":448
           }
        ],
        [
           {
              "width":134,
              "height":103,
              "label":"product_in_hand",
              "left":1061,
              "top":449
           }
        ],
        [
           {
              "width":145,
              "height":99,
              "label":"product_in_hand",
              "left":1046,
              "top":446
           }
        ],
        [
           {
              "width":139,
              "height":110,
              "label":"product_in_hand",
              "left":1032,
              "top":432
           }
        ],
        [
           {
              "width":138,
              "height":128,
              "label":"product_in_hand",
              "left":1003,
              "top":396
           }
        ]
     ]
  }
]

[
  {
     "boxes":[
        [
           {
              "width":143,
              "height":114,
              "label":"product_in_hand",
              "left":1063,
              "top":440
           }
        ],
        [
           {
              "width":137,
              "height":92,
              "label":"product_in_hand",
              "left":1069,
              "top":439
           }
        ],
        [
           {
              "width":132,
              "height":86,
              "label":"product_in_hand",
              "left":1069,
              "top":441
           }
        ],
        [
           {
              "width":141,
              "height":101,
              "label":"product_in_hand",
              "left":1066,
              "top":439
           }
        ],
        [
           {
              "width":147,
              "height":120,
              "label":"product_in_hand",
              "left":1058,
              "top":441
           }
        ],
        [
           {
              "width":133,
              "height":87,
              "label":"product_in_hand",
              "left":1065,
              "top":443
           }
        ],
        [
           {
              "width":146,
              "height":104,
              "label":"product_in_hand",
              "left":1058,
              "top":443
           }
        ],
        [
           {
              "width":147,
              "height":65,
              "label":"product_in_hand",
              "left":1062,
              "top":443
           }
        ],
        [
           {
              "width":144,
              "height":124,
              "label":"product_in_hand",
              "left":1056,
              "top":445
           }
        ],
        [
           {
              "width":133,
              "height":91,
              "label":"product_in_hand",
              "left":1063,
              "top":448
           }
        ],
        [
           {
              "width":134,
              "height":103,
              "label":"product_in_hand",
              "left":1061,
              "top":449
           }
        ],
        [
           {
              "width":145,
              "height":99,
              "label":"product_in_hand",
              "left":1046,
              "top":446
           }
        ],
        [
           {
              "width":139,
              "height":110,
              "label":"product_in_hand",
              "left":1032,
              "top":432
           }
        ],
        [
           {
              "width":138,
              "height":128,
              "label":"product_in_hand",
              "left":1003,
              "top":396
           }
        ]
     ]
  }
]

Input
OUTPUT
Video Bounding Box
Input
OUTPUT
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dp = DataProgram("video-bounding-box")

instance = dp(name="my-video-bounding-box", instructions="Draw a box around each car, pedestrian and bicycle ")

instance.label(inputs=[{"video_url":"https://cdn.super.ai/Webflow+assets/video-bounding-box-input.gif"}])""

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

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

[{"boxes": [{'width': 64, 'height': 31, 'label': 'vehicle', 'left': 1938, 'top': 675, 'uuid': '8edcdaba-6700-4402-bfd5-6300e045fad0'}, {'width': 56, 'height': 24, 'label': 'vehicle', 'left': 1830, 'top': 682, 'uuid': '00318876-3fa8-4abd-ae5b-12151819e279'}, {'width': 71, 'height': 31, 'label': 'vehicle', 'left': 1842, 'top': 716, 'uuid': '3a20f2a5-f555-4322-81f0-b97ead9400e3'}, {'width': 69, 'height': 29, 'label': 'vehicle', 'left': 1731, 'top': 713, 'uuid': '397f7deb-c19c-490f-aa1b-3790e561f332'}, {'width': 70, 'height': 23, 'label': 'vehicle', 'left': 1688, 'top': 678, 'uuid': '23d495d3-b81f-4f2a-b314-fec0c68123ca'}, {'width': 72, 'height': 24, 'label': 'vehicle', 'left': 1717, 'top': 635, 'uuid': 'f25338bd-53e0-4ed4-b310-ee50fc7d7421'}, {'width': 69, 'height': 28, 'label': 'vehicle', 'left': 1706, 'top': 596, 'uuid': '52eb69d2-21a5-4f33-80b2-78fe93ea175a'}, {'width': 68, 'height': 26, 'label': 'vehicle', 'left': 801, 'top': 715, 'uuid': 'b3f6ba88-0ef6-41dc-b4c9-d15b4593c4fc'}, {'width': 69, 'height': 30, 'label': 'vehicle', 'left': 806, 'top': 791, 'uuid': '78cfe701-8571-41ab-ac88-317d40885330'}, {'width': 66, 'height': 26, 'label': 'vehicle', 'left': 828, 'top': 832, 'uuid': 'ae2006d6-4d93-4a94-8c3c-1dc33e517473'}, {'width': 69, 'height': 30, 'label': 'vehicle', 'left': 825, 'top': 872, 'uuid': 'a96edc73-b378-4b21-bfdc-a7997057bbaa'}, {'width': 66, 'height': 33, 'label': 'vehicle', 'left': 710, 'top': 783, 'uuid': '29057cea-c0c3-4e9b-810b-043a0b3d18d4'}, {'width': 58, 'height': 26, 'label': 'vehicle', 'left': 598, 'top': 789, 'uuid': '8a5d53ad-014d-4aa2-b990-20123d0c9f1b'}, {'width': 73, 'height': 32, 'label': 'vehicle', 'left': 483, 'top': 741, 'uuid': '6026c36a-df6b-42ba-8a82-8f05929226ec'}, {'width': 72, 'height': 31, 'label': 'vehicle', 'left': 486, 'top': 784, 'uuid': 'e3f2e2c4-12df-4aa0-9617-c439c16bdcf7'}, {'width': 73, 'height': 29, 'label': 'vehicle', 'left': 396, 'top': 857, 'uuid': 'e467f9db-d148-44f7-8f87-4fbd74c97635'}, {'width': 45, 'height': 31, 'label': 'vehicle', 'left': 1, 'top': 818, 'uuid': '369261d5-0175-4219-9e09-fa1a6221aa1b'}, {'width': 30, 'height': 67, 'label': 'vehicle', 'left': 1367, 'top': 775, 'uuid': 'a4899694-cf84-40ad-8420-12a248df4c61'}, {'width': 32, 'height': 72, 'label': 'vehicle', 'left': 1415, 'top': 767, 'uuid': '135f9f6b-886f-43cb-a415-1dd53789307e'}, {'width': 29, 'height': 68, 'label': 'vehicle', 'left': 1458, 'top': 601, 'uuid': '53535daf-7be4-44d0-998e-6372da20264c'}, {'width': 27, 'height': 69, 'label': 'vehicle', 'left': 1193, 'top': 563, 'uuid': '86b0f0c8-fc2b-4bb4-9331-4afbb47e3ef9'}, {'width': 22, 'height': 51, 'label': 'vehicle', 'left': 1148, 'top': 489, 'uuid': '051464fb-80f2-4bc2-93ae-252bd6eb971f'}, {'width': 28, 'height': 67, 'label': 'vehicle', 'left': 1210, 'top': 417, 'uuid': '330d3768-fb69-4d94-afee-9646403a51d5'}, {'width': 27, 'height': 67, 'label': 'vehicle', 'left': 1375, 'top': 483, 'uuid': 'f287e708-3d09-4c17-802c-bf0714879247'}, {'width': 25, 'height': 62, 'label': 'vehicle', 'left': 1418, 'top': 441, 'uuid': 'd675c352-bcec-4b98-a535-83ece497e29f'}, {'width': 32, 'height': 68, 'label': 'vehicle', 'left': 1275, 'top': 308, 'uuid': '1bca97d7-654f-416e-a285-8b499b09796a'}, {'width': 29, 'height': 68, 'label': 'vehicle', 'left': 1191, 'top': 230, 'uuid': '4aeee8b8-5c11-42d4-a0cb-fe73cbe86df1'}, {'width': 28, 'height': 69, 'label': 'vehicle', 'left': 1149, 'top': 269, 'uuid': 'ad47c667-ab14-43e2-8cf7-425738f6f328'}, {'width': 30, 'height': 70, 'label': 'vehicle', 'left': 1344, 'top': 140, 'uuid': 'e787ac84-78d2-437e-b37d-dd566bbdf34e'}, {'width': 30, 'height': 65, 'label': 'vehicle', 'left': 1192, 'top': 55, 'uuid': '7f654c31-2c42-44d9-8f5f-2924691d7316'}, {'width': 28, 'height': 66, 'label': 'vehicle', 'left': 1149, 'top': 86, 'uuid': 'cb1e650f-ab0b-4134-9443-3bd7d9d92618'}, {'width': 23, 'height': 21, 'label': 'vehicle', 'left': 1155, 'top': 2, 'uuid': '1eb7d014-d6c7-46e5-bc90-8db16b13ecf0'}, {'width': 27, 'height': 53, 'label': 'vehicle', 'left': 1415, 'top': 949, 'uuid': 'fad30317-ed4b-420f-8965-2273c01f07b7'}, {'width': 31, 'height': 67, 'label': 'vehicle', 'left': 1474, 'top': 987, 'uuid': 'a85e599b-cdda-473f-9899-9e5394d81529'}, {'width': 30, 'height': 77, 'label': 'vehicle', 'left': 1329, 'top': 1090, 'uuid': '052cb292-525f-48fc-aa38-e2e075512c18'}, {'width': 27, 'height': 68, 'label': 'vehicle', 'left': 1374, 'top': 1137, 'uuid': 'ed308ff2-dd83-4102-8839-3700632687e8'}, {'width': 28, 'height': 75, 'label': 'vehicle', 'left': 1421, 'top': 1179, 'uuid': '6671a100-0cec-4b37-80d2-2043cad72e0c'}, {'width': 31, 'height': 67, 'label': 'vehicle', 'left': 1324, 'top': 1195, 'uuid': '345446b9-f899-4eef-a059-e56d14dc5e60'}, {'width': 27, 'height': 52, 'label': 'vehicle', 'left': 1278, 'top': 1217, 'uuid': 'e8e42aa6-6730-4220-b07b-a6e8508669f8'}, {'width': 29, 'height': 64, 'label': 'vehicle', 'left': 1279, 'top': 1114, 'uuid': '6785970a-0817-4e35-be44-bf45987f7257'}, {'width': 28, 'height': 58, 'label': 'vehicle', 'left': 1194, 'top': 1065, 'uuid': 'e8a03458-dddb-4231-9aa3-522ca3e0bc86'}, {'width': 29, 'height': 72, 'label': 'vehicle', 'left': 1138, 'top': 1057, 'uuid': '8af5bf9a-ced9-47dd-9fe5-783a27c94fcb'}, {'width': 21, 'height': 53, 'label': 'vehicle', 'left': 1376, 'top': 1344, 'uuid': '09bc6d46-d25b-4604-9c4e-b49ee1c7f479'}, {'width': 26, 'height': 67, 'label': 'vehicle', 'left': 1278, 'top': 1313, 'uuid': 'bbe7fe3d-0d37-4f0a-91ef-8a9c33bbae77'}, {'width': 25, 'height': 15, 'label': 'vehicle', 'left': 1165, 'top': 1425, 'uuid': '7bece676-0575-46cc-94a9-88d68aa8c13d'}, {'width': 21, 'height': 41, 'label': 'vehicle', 'left': 1119, 'top': 1397, 'uuid': '21520f74-41a1-48a2-ab0c-a9623d349039'}]}]

[{"boxes": [{'width': 64, 'height': 31, 'label': 'vehicle', 'left': 1938, 'top': 675, 'uuid': '8edcdaba-6700-4402-bfd5-6300e045fad0'}, {'width': 56, 'height': 24, 'label': 'vehicle', 'left': 1830, 'top': 682, 'uuid': '00318876-3fa8-4abd-ae5b-12151819e279'}, {'width': 71, 'height': 31, 'label': 'vehicle', 'left': 1842, 'top': 716, 'uuid': '3a20f2a5-f555-4322-81f0-b97ead9400e3'}, {'width': 69, 'height': 29, 'label': 'vehicle', 'left': 1731, 'top': 713, 'uuid': '397f7deb-c19c-490f-aa1b-3790e561f332'}, {'width': 70, 'height': 23, 'label': 'vehicle', 'left': 1688, 'top': 678, 'uuid': '23d495d3-b81f-4f2a-b314-fec0c68123ca'}, {'width': 72, 'height': 24, 'label': 'vehicle', 'left': 1717, 'top': 635, 'uuid': 'f25338bd-53e0-4ed4-b310-ee50fc7d7421'}, {'width': 69, 'height': 28, 'label': 'vehicle', 'left': 1706, 'top': 596, 'uuid': '52eb69d2-21a5-4f33-80b2-78fe93ea175a'}, {'width': 68, 'height': 26, 'label': 'vehicle', 'left': 801, 'top': 715, 'uuid': 'b3f6ba88-0ef6-41dc-b4c9-d15b4593c4fc'}, {'width': 69, 'height': 30, 'label': 'vehicle', 'left': 806, 'top': 791, 'uuid': '78cfe701-8571-41ab-ac88-317d40885330'}, {'width': 66, 'height': 26, 'label': 'vehicle', 'left': 828, 'top': 832, 'uuid': 'ae2006d6-4d93-4a94-8c3c-1dc33e517473'}, {'width': 69, 'height': 30, 'label': 'vehicle', 'left': 825, 'top': 872, 'uuid': 'a96edc73-b378-4b21-bfdc-a7997057bbaa'}, {'width': 66, 'height': 33, 'label': 'vehicle', 'left': 710, 'top': 783, 'uuid': '29057cea-c0c3-4e9b-810b-043a0b3d18d4'}, {'width': 58, 'height': 26, 'label': 'vehicle', 'left': 598, 'top': 789, 'uuid': '8a5d53ad-014d-4aa2-b990-20123d0c9f1b'}, {'width': 73, 'height': 32, 'label': 'vehicle', 'left': 483, 'top': 741, 'uuid': '6026c36a-df6b-42ba-8a82-8f05929226ec'}, {'width': 72, 'height': 31, 'label': 'vehicle', 'left': 486, 'top': 784, 'uuid': 'e3f2e2c4-12df-4aa0-9617-c439c16bdcf7'}, {'width': 73, 'height': 29, 'label': 'vehicle', 'left': 396, 'top': 857, 'uuid': 'e467f9db-d148-44f7-8f87-4fbd74c97635'}, {'width': 45, 'height': 31, 'label': 'vehicle', 'left': 1, 'top': 818, 'uuid': '369261d5-0175-4219-9e09-fa1a6221aa1b'}, {'width': 30, 'height': 67, 'label': 'vehicle', 'left': 1367, 'top': 775, 'uuid': 'a4899694-cf84-40ad-8420-12a248df4c61'}, {'width': 32, 'height': 72, 'label': 'vehicle', 'left': 1415, 'top': 767, 'uuid': '135f9f6b-886f-43cb-a415-1dd53789307e'}, {'width': 29, 'height': 68, 'label': 'vehicle', 'left': 1458, 'top': 601, 'uuid': '53535daf-7be4-44d0-998e-6372da20264c'}, {'width': 27, 'height': 69, 'label': 'vehicle', 'left': 1193, 'top': 563, 'uuid': '86b0f0c8-fc2b-4bb4-9331-4afbb47e3ef9'}, {'width': 22, 'height': 51, 'label': 'vehicle', 'left': 1148, 'top': 489, 'uuid': '051464fb-80f2-4bc2-93ae-252bd6eb971f'}, {'width': 28, 'height': 67, 'label': 'vehicle', 'left': 1210, 'top': 417, 'uuid': '330d3768-fb69-4d94-afee-9646403a51d5'}, {'width': 27, 'height': 67, 'label': 'vehicle', 'left': 1375, 'top': 483, 'uuid': 'f287e708-3d09-4c17-802c-bf0714879247'}, {'width': 25, 'height': 62, 'label': 'vehicle', 'left': 1418, 'top': 441, 'uuid': 'd675c352-bcec-4b98-a535-83ece497e29f'}, {'width': 32, 'height': 68, 'label': 'vehicle', 'left': 1275, 'top': 308, 'uuid': '1bca97d7-654f-416e-a285-8b499b09796a'}, {'width': 29, 'height': 68, 'label': 'vehicle', 'left': 1191, 'top': 230, 'uuid': '4aeee8b8-5c11-42d4-a0cb-fe73cbe86df1'}, {'width': 28, 'height': 69, 'label': 'vehicle', 'left': 1149, 'top': 269, 'uuid': 'ad47c667-ab14-43e2-8cf7-425738f6f328'}, {'width': 30, 'height': 70, 'label': 'vehicle', 'left': 1344, 'top': 140, 'uuid': 'e787ac84-78d2-437e-b37d-dd566bbdf34e'}, {'width': 30, 'height': 65, 'label': 'vehicle', 'left': 1192, 'top': 55, 'uuid': '7f654c31-2c42-44d9-8f5f-2924691d7316'}, {'width': 28, 'height': 66, 'label': 'vehicle', 'left': 1149, 'top': 86, 'uuid': 'cb1e650f-ab0b-4134-9443-3bd7d9d92618'}, {'width': 23, 'height': 21, 'label': 'vehicle', 'left': 1155, 'top': 2, 'uuid': '1eb7d014-d6c7-46e5-bc90-8db16b13ecf0'}, {'width': 27, 'height': 53, 'label': 'vehicle', 'left': 1415, 'top': 949, 'uuid': 'fad30317-ed4b-420f-8965-2273c01f07b7'}, {'width': 31, 'height': 67, 'label': 'vehicle', 'left': 1474, 'top': 987, 'uuid': 'a85e599b-cdda-473f-9899-9e5394d81529'}, {'width': 30, 'height': 77, 'label': 'vehicle', 'left': 1329, 'top': 1090, 'uuid': '052cb292-525f-48fc-aa38-e2e075512c18'}, {'width': 27, 'height': 68, 'label': 'vehicle', 'left': 1374, 'top': 1137, 'uuid': 'ed308ff2-dd83-4102-8839-3700632687e8'}, {'width': 28, 'height': 75, 'label': 'vehicle', 'left': 1421, 'top': 1179, 'uuid': '6671a100-0cec-4b37-80d2-2043cad72e0c'}, {'width': 31, 'height': 67, 'label': 'vehicle', 'left': 1324, 'top': 1195, 'uuid': '345446b9-f899-4eef-a059-e56d14dc5e60'}, {'width': 27, 'height': 52, 'label': 'vehicle', 'left': 1278, 'top': 1217, 'uuid': 'e8e42aa6-6730-4220-b07b-a6e8508669f8'}, {'width': 29, 'height': 64, 'label': 'vehicle', 'left': 1279, 'top': 1114, 'uuid': '6785970a-0817-4e35-be44-bf45987f7257'}, {'width': 28, 'height': 58, 'label': 'vehicle', 'left': 1194, 'top': 1065, 'uuid': 'e8a03458-dddb-4231-9aa3-522ca3e0bc86'}, {'width': 29, 'height': 72, 'label': 'vehicle', 'left': 1138, 'top': 1057, 'uuid': '8af5bf9a-ced9-47dd-9fe5-783a27c94fcb'}, {'width': 21, 'height': 53, 'label': 'vehicle', 'left': 1376, 'top': 1344, 'uuid': '09bc6d46-d25b-4604-9c4e-b49ee1c7f479'}, {'width': 26, 'height': 67, 'label': 'vehicle', 'left': 1278, 'top': 1313, 'uuid': 'bbe7fe3d-0d37-4f0a-91ef-8a9c33bbae77'}, {'width': 25, 'height': 15, 'label': 'vehicle', 'left': 1165, 'top': 1425, 'uuid': '7bece676-0575-46cc-94a9-88d68aa8c13d'}, {'width': 21, 'height': 41, 'label': 'vehicle', 'left': 1119, 'top': 1397, 'uuid': '21520f74-41a1-48a2-ab0c-a9623d349039'}]}]

[{"boxes": [{'width': 64, 'height': 31, 'label': 'vehicle', 'left': 1938, 'top': 675, 'uuid': '8edcdaba-6700-4402-bfd5-6300e045fad0'}, {'width': 56, 'height': 24, 'label': 'vehicle', 'left': 1830, 'top': 682, 'uuid': '00318876-3fa8-4abd-ae5b-12151819e279'}, {'width': 71, 'height': 31, 'label': 'vehicle', 'left': 1842, 'top': 716, 'uuid': '3a20f2a5-f555-4322-81f0-b97ead9400e3'}, {'width': 69, 'height': 29, 'label': 'vehicle', 'left': 1731, 'top': 713, 'uuid': '397f7deb-c19c-490f-aa1b-3790e561f332'}, {'width': 70, 'height': 23, 'label': 'vehicle', 'left': 1688, 'top': 678, 'uuid': '23d495d3-b81f-4f2a-b314-fec0c68123ca'}, {'width': 72, 'height': 24, 'label': 'vehicle', 'left': 1717, 'top': 635, 'uuid': 'f25338bd-53e0-4ed4-b310-ee50fc7d7421'}, {'width': 69, 'height': 28, 'label': 'vehicle', 'left': 1706, 'top': 596, 'uuid': '52eb69d2-21a5-4f33-80b2-78fe93ea175a'}, {'width': 68, 'height': 26, 'label': 'vehicle', 'left': 801, 'top': 715, 'uuid': 'b3f6ba88-0ef6-41dc-b4c9-d15b4593c4fc'}, {'width': 69, 'height': 30, 'label': 'vehicle', 'left': 806, 'top': 791, 'uuid': '78cfe701-8571-41ab-ac88-317d40885330'}, {'width': 66, 'height': 26, 'label': 'vehicle', 'left': 828, 'top': 832, 'uuid': 'ae2006d6-4d93-4a94-8c3c-1dc33e517473'}, {'width': 69, 'height': 30, 'label': 'vehicle', 'left': 825, 'top': 872, 'uuid': 'a96edc73-b378-4b21-bfdc-a7997057bbaa'}, {'width': 66, 'height': 33, 'label': 'vehicle', 'left': 710, 'top': 783, 'uuid': '29057cea-c0c3-4e9b-810b-043a0b3d18d4'}, {'width': 58, 'height': 26, 'label': 'vehicle', 'left': 598, 'top': 789, 'uuid': '8a5d53ad-014d-4aa2-b990-20123d0c9f1b'}, {'width': 73, 'height': 32, 'label': 'vehicle', 'left': 483, 'top': 741, 'uuid': '6026c36a-df6b-42ba-8a82-8f05929226ec'}, {'width': 72, 'height': 31, 'label': 'vehicle', 'left': 486, 'top': 784, 'uuid': 'e3f2e2c4-12df-4aa0-9617-c439c16bdcf7'}, {'width': 73, 'height': 29, 'label': 'vehicle', 'left': 396, 'top': 857, 'uuid': 'e467f9db-d148-44f7-8f87-4fbd74c97635'}, {'width': 45, 'height': 31, 'label': 'vehicle', 'left': 1, 'top': 818, 'uuid': '369261d5-0175-4219-9e09-fa1a6221aa1b'}, {'width': 30, 'height': 67, 'label': 'vehicle', 'left': 1367, 'top': 775, 'uuid': 'a4899694-cf84-40ad-8420-12a248df4c61'}, {'width': 32, 'height': 72, 'label': 'vehicle', 'left': 1415, 'top': 767, 'uuid': '135f9f6b-886f-43cb-a415-1dd53789307e'}, {'width': 29, 'height': 68, 'label': 'vehicle', 'left': 1458, 'top': 601, 'uuid': '53535daf-7be4-44d0-998e-6372da20264c'}, {'width': 27, 'height': 69, 'label': 'vehicle', 'left': 1193, 'top': 563, 'uuid': '86b0f0c8-fc2b-4bb4-9331-4afbb47e3ef9'}, {'width': 22, 'height': 51, 'label': 'vehicle', 'left': 1148, 'top': 489, 'uuid': '051464fb-80f2-4bc2-93ae-252bd6eb971f'}, {'width': 28, 'height': 67, 'label': 'vehicle', 'left': 1210, 'top': 417, 'uuid': '330d3768-fb69-4d94-afee-9646403a51d5'}, {'width': 27, 'height': 67, 'label': 'vehicle', 'left': 1375, 'top': 483, 'uuid': 'f287e708-3d09-4c17-802c-bf0714879247'}, {'width': 25, 'height': 62, 'label': 'vehicle', 'left': 1418, 'top': 441, 'uuid': 'd675c352-bcec-4b98-a535-83ece497e29f'}, {'width': 32, 'height': 68, 'label': 'vehicle', 'left': 1275, 'top': 308, 'uuid': '1bca97d7-654f-416e-a285-8b499b09796a'}, {'width': 29, 'height': 68, 'label': 'vehicle', 'left': 1191, 'top': 230, 'uuid': '4aeee8b8-5c11-42d4-a0cb-fe73cbe86df1'}, {'width': 28, 'height': 69, 'label': 'vehicle', 'left': 1149, 'top': 269, 'uuid': 'ad47c667-ab14-43e2-8cf7-425738f6f328'}, {'width': 30, 'height': 70, 'label': 'vehicle', 'left': 1344, 'top': 140, 'uuid': 'e787ac84-78d2-437e-b37d-dd566bbdf34e'}, {'width': 30, 'height': 65, 'label': 'vehicle', 'left': 1192, 'top': 55, 'uuid': '7f654c31-2c42-44d9-8f5f-2924691d7316'}, {'width': 28, 'height': 66, 'label': 'vehicle', 'left': 1149, 'top': 86, 'uuid': 'cb1e650f-ab0b-4134-9443-3bd7d9d92618'}, {'width': 23, 'height': 21, 'label': 'vehicle', 'left': 1155, 'top': 2, 'uuid': '1eb7d014-d6c7-46e5-bc90-8db16b13ecf0'}, {'width': 27, 'height': 53, 'label': 'vehicle', 'left': 1415, 'top': 949, 'uuid': 'fad30317-ed4b-420f-8965-2273c01f07b7'}, {'width': 31, 'height': 67, 'label': 'vehicle', 'left': 1474, 'top': 987, 'uuid': 'a85e599b-cdda-473f-9899-9e5394d81529'}, {'width': 30, 'height': 77, 'label': 'vehicle', 'left': 1329, 'top': 1090, 'uuid': '052cb292-525f-48fc-aa38-e2e075512c18'}, {'width': 27, 'height': 68, 'label': 'vehicle', 'left': 1374, 'top': 1137, 'uuid': 'ed308ff2-dd83-4102-8839-3700632687e8'}, {'width': 28, 'height': 75, 'label': 'vehicle', 'left': 1421, 'top': 1179, 'uuid': '6671a100-0cec-4b37-80d2-2043cad72e0c'}, {'width': 31, 'height': 67, 'label': 'vehicle', 'left': 1324, 'top': 1195, 'uuid': '345446b9-f899-4eef-a059-e56d14dc5e60'}, {'width': 27, 'height': 52, 'label': 'vehicle', 'left': 1278, 'top': 1217, 'uuid': 'e8e42aa6-6730-4220-b07b-a6e8508669f8'}, {'width': 29, 'height': 64, 'label': 'vehicle', 'left': 1279, 'top': 1114, 'uuid': '6785970a-0817-4e35-be44-bf45987f7257'}, {'width': 28, 'height': 58, 'label': 'vehicle', 'left': 1194, 'top': 1065, 'uuid': 'e8a03458-dddb-4231-9aa3-522ca3e0bc86'}, {'width': 29, 'height': 72, 'label': 'vehicle', 'left': 1138, 'top': 1057, 'uuid': '8af5bf9a-ced9-47dd-9fe5-783a27c94fcb'}, {'width': 21, 'height': 53, 'label': 'vehicle', 'left': 1376, 'top': 1344, 'uuid': '09bc6d46-d25b-4604-9c4e-b49ee1c7f479'}, {'width': 26, 'height': 67, 'label': 'vehicle', 'left': 1278, 'top': 1313, 'uuid': 'bbe7fe3d-0d37-4f0a-91ef-8a9c33bbae77'}, {'width': 25, 'height': 15, 'label': 'vehicle', 'left': 1165, 'top': 1425, 'uuid': '7bece676-0575-46cc-94a9-88d68aa8c13d'}, {'width': 21, 'height': 41, 'label': 'vehicle', 'left': 1119, 'top': 1397, 'uuid': '21520f74-41a1-48a2-ab0c-a9623d349039'}]}]

Input
OUTPUT
Video Object Detection
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-binary-choice")
instance = dp(name="my-audio-binary-choice", instructions="Check whether there was any profanity in the audio or not")
instance.label(inputs=[{"audio_url":"https://cdn.super.ai/Webflow+assets/InboundSampleRecording.mp3"}])

curl -X POST \
"https://super.ai/v1/apps/my-audio-binary-choice/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"audio_url":"https://cdn.super.ai/Webflow+assets/InboundSampleRecording.mp3"}]}'

superai client create_jobs \
--app_id my-audio-binary-choice \
--inputs [{"audio_url":"https://cdn.super.ai/Webflow+assets/InboundSampleRecording.mp3"}]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "profanity"
       },
       {
         "tag": "1",
         "value": "no profanity"
       }
     ],
     "selection": {
       "tag": "1",
       "value": "no profanity"
     }
   }
 }
]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "profanity"
       },
       {
         "tag": "1",
         "value": "no profanity"
       }
     ],
     "selection": {
       "tag": "1",
       "value": "no profanity"
     }
   }
 }
]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "profanity"
       },
       {
         "tag": "1",
         "value": "no profanity"
       }
     ],
     "selection": {
       "tag": "1",
       "value": "no profanity"
     }
   }
 }
]

Input
OUTPUT
Audio Moderation
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-structured")
instance = dp(name="my-audio-structured", instructions="Fill out the following fields based on the information in the audio")
instance.label(inputs=[{"audio_url":" https://cdn.super.ai/Webflow+assets/InboundSampleRecording.mp3"}])

curl -X POST \
"https://super.ai/v1/apps/my-audio-structured/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"audio_url":" https://cdn.super.ai/Webflow+assets/InboundSampleRecording.mp3"}]}'

superai client create_jobs \
--app_id my-audio-structured \
--inputs [{"audio_url":" https://cdn.super.ai/Webflow+assets/InboundSampleRecording.mp3"}]

[
   {"transcription": "https://docs.google.com/spreadsheets/d/1G59g0YDf9rzX3HuS7FjV-qFHpyfCHc2FakLLnvgVKhI/edit#gid=0"}
]

[
   {"transcription": "https://docs.google.com/spreadsheets/d/1G59g0YDf9rzX3HuS7FjV-qFHpyfCHc2FakLLnvgVKhI/edit#gid=0"}
]

[
   {"transcription": "https://docs.google.com/spreadsheets/d/1G59g0YDf9rzX3HuS7FjV-qFHpyfCHc2FakLLnvgVKhI/edit#gid=0"}
]

Input
OUTPUT
Call transcription
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-integer")
instance = dp(name="my-audio-integer", instructions="Rate the Sales call on a scale from 1 to 10 with 10 being the highest score and 1 the lowest")
instance.label(inputs=[{"audio_url":"https://cdn.super.ai/Webflow+assets/OutboundSampleRecording.mp3"}])

curl -X POST \
"https://super.ai/v1/apps/my-audio-integer/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"audio_url":"https://cdn.super.ai/Webflow+assets/OutboundSampleRecording.mp3"}]}'

superai client create_jobs \
--app_id my-audio-integer \
--inputs [{"audio_url":"https://cdn.super.ai/Webflow+assets/OutboundSampleRecording.mp3"}]

[
   {
       "label": 9
   }
]

[
   {
       "label": 9
   }
]

[
   {
       "label": 9
   }
]

Input
OUTPUT
Call rating
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

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"}])

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"}]}'

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"
     }
   }
 }
]

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

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

Input
OUTPUT
Image categorization
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-taxonomy")
instance = dp(name="my-audio-taxonomy", instructions="Select the most appropriate category for the content of the sales call")
instance.label(inputs=[{"audio_url":"https://cdn.super.ai/Webflow+assets/insurance+sales+call.mp3"}])

curl -X POST \
"https://super.ai/v1/apps/my-audio-taxonomy/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"audio_url":"https://cdn.super.ai/Webflow+assets/insurance+sales+call.mp3"}]}'

superai client create_jobs \
--app_id my-audio-taxonomy \
--inputs [{"audio_url":"https://cdn.super.ai/Webflow+assets/insurance+sales+call.mp3"}]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "retail"
       },
       {
         "tag": "1",
         "value": "insurance"
       }
     ],
     "selection": {
       "tag": "1",
       "value": "insurance"
     }
   }
 }
]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "retail"
       },
       {
         "tag": "1",
         "value": "insurance"
       }
     ],
     "selection": {
       "tag": "1",
       "value": "insurance"
     }
   }
 }
]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "retail"
       },
       {
         "tag": "1",
         "value": "insurance"
       }
     ],
     "selection": {
       "tag": "1",
       "value": "insurance"
     }
   }
 }
]

Input
OUTPUT
Audio taxonomy
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-audio")
instance = dp(name="my-audio-audio", instructions="Record yourself reading this text")
instance.label(inputs=[{"text": "Sometimes life is going to hit you in the head with a brick, don't lose faith. I'm convinced that the only thing that kept me going was that I loved what I did. You've got to find what you love, and that is as true for your work as it is for your lovers. Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work, and the only way to do great work is to love what you do. If you haven't found it yet, keep looking and don't settle. As with all matters of the heart, you'll know when you find it. And like any great relationship, it just gets better and better as the years roll on, so keep looking - don't settle."}])

curl -X POST \
"https://super.ai/v1/apps/my-audio-audio/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"text": "Sometimes life is going to hit you in the head with a brick, don't lose faith. I'm convinced that the only thing that kept me going was that I loved what I did. You've got to find what you love, and that is as true for your work as it is for your lovers. Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work, and the only way to do great work is to love what you do. If you haven't found it yet, keep looking and don't settle. As with all matters of the heart, you'll know when you find it. And like any great relationship, it just gets better and better as the years roll on, so keep looking - don't settle."}]}'

superai client create_jobs \
--app_id my-audio-audio \
--inputs [{"text": "Sometimes life is going to hit you in the head with a brick, don't lose faith. I'm convinced that the only thing that kept me going was that I loved what I did. You've got to find what you love, and that is as true for your work as it is for your lovers. Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work, and the only way to do great work is to love what you do. If you haven't found it yet, keep looking and don't settle. As with all matters of the heart, you'll know when you find it. And like any great relationship, it just gets better and better as the years roll on, so keep looking - don't settle."}]

"[     {         "output":{"https://drive.google.com/open?id=1bdK8yvaOXi07vgZwdQqBP2I4912GsJUa"}     } ]"

"[     {         "output":{"https://drive.google.com/open?id=1bdK8yvaOXi07vgZwdQqBP2I4912GsJUa"}     } ]"

"[     {         "output":{"https://drive.google.com/open?id=1bdK8yvaOXi07vgZwdQqBP2I4912GsJUa"}     } ]"

Input
OUTPUT
Audio recording based on prompt
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("video-anonymization")
instance = dp(name="my-video-anonymization", instructions="https://cdn.super.ai/Webflow+assets/video-anonymization-output-new.mp4")
instance.label(inputs=[{"video_url": "https://cdn.super.ai/Webflow+assets/video_anonymization_input.mp4"}])

curl -X POST \
"https://super.ai/v1/apps/my-video-anonymization/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"video_url": "https://cdn.super.ai/Webflow+assets/video_anonymization_input.mp4"}]}'

superai client create_jobs \
--app_id my-video-anonymization \
--inputs [{"video_url": "https://cdn.super.ai/Webflow+assets/video_anonymization_input.mp4"}]

[
   {
       "anonymized": [{773, 1615, 1029, 1768},
{775, 3200, 1065, 3438},
{780, 3184, 1047, 3410},
{773, 1603, 998, 1748},
{780, 3184, 1047, 3410},
{773, 1603, 998, 1748},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{781, 3170, 1097, 3453},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{800, 2717, 1003, 2921},
{800, 3166, 1116, 3449},
{785, 1603, 1054, 1758},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{808, 1615, 1083, 1778},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{776, 2731, 937, 2940},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{807, 3170, 1123, 3453},
{800, 1607, 1069, 1762},
{808, 2709, 1011, 2913},
{812, 1619, 1087, 1782},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{770, 2730, 929, 2916},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{784, 2734, 938, 2931},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{776, 2731, 937, 2940},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{808, 1615, 1083, 1778},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{807, 3170, 1123, 3453},
{800, 1607, 1069, 1762},
{808, 2709, 1011, 2913},
{776, 2731, 937, 2940},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{760, 3252, 1050, 3490},
{810, 2728, 987, 2928},
{773, 1615, 1044, 1768},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{781, 3170, 1097, 3453},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{800, 2717, 1003, 2921},
{800, 3166, 1116, 3449},
{785, 1603, 1054, 1758},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{780, 3184, 1047, 3410},
{773, 1603, 998, 1748},
{776, 3204, 1043, 3430},
{773, 1603, 998, 1748},
{808, 2709, 1011, 2913},
{800, 3166, 1116, 3449},
{788, 1603, 1057, 1758},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{800, 1607, 1069, 1762},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1603, 1006, 1746},
{780, 3211, 1047, 3437},
{780, 3184, 1047, 3410},
{773, 1603, 998, 1748},
{773, 1615, 1044, 1768},
{775, 3200, 1065, 3438},
{798, 2734, 971, 2923},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{800, 3166, 1116, 3449},
{800, 2717, 1003, 2921},
{785, 1603, 1054, 1758},
{793, 3166, 1109, 3449},
{796, 2717, 999, 2921},
{785, 1603, 1054, 1758},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{784, 2734, 938, 2931},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{808, 1615, 1077, 1770},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{808, 1615, 1077, 1770},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{770, 2730, 929, 2916},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{770, 2730, 929, 2916},
{773, 1603, 998, 1748},
{786, 3171, 1047, 3410},
{770, 1598, 983, 1736},
{786, 3171, 1036, 3405},
{769, 2717, 935, 2918},
{807, 3170, 1123, 3453},
{808, 1615, 1077, 1770},
{808, 2709, 1011, 2913},
{776, 2731, 937, 2940},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{808, 1615, 1077, 1770},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{800, 3166, 1116, 3449},
{796, 2717, 999, 2921},
{785, 1603, 1054, 1758},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{793, 3166, 1109, 3449},
{785, 1603, 1054, 1758},
{796, 2717, 999, 2921},
{781, 3170, 1097, 3453},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{776, 3207, 1043, 3433},
{773, 1603, 1006, 1746},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{792, 3143, 1042, 3377},
{772, 2711, 935, 2911},
{764, 1595, 975, 1729},
{787, 3154, 1037, 3388},
{764, 1593, 975, 1727},
{772, 2711, 935, 2911},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{808, 2709, 1011, 2913},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{775, 3200, 1053, 3432},
{773, 1607, 1011, 1748},
{773, 1607, 1011, 1748},
{775, 3200, 1053, 3432},
{820, 1631, 1095, 1794},
{807, 3170, 1123, 3453},
{808, 2713, 1011, 2917},
{810, 2728, 997, 2927},
{751, 3299, 1041, 3537},
{783, 1617, 1063, 1772},
{763, 3235, 1079, 3518},
{787, 1613, 1056, 1768},
{800, 2724, 1003, 2928},
{810, 2728, 1003, 2929},
{783, 1617, 1063, 1775},
{751, 3299, 1041, 3537},
{810, 2728, 1001, 2929},
{783, 1617, 1063, 1775},
{751, 3299, 1041, 3537},
{751, 3270, 1067, 3553},
{787, 1613, 1056, 1768},
{800, 2724, 1003, 2928},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{775, 3200, 1053, 3432},
{773, 1603, 1011, 1744},
{747, 3270, 1063, 3553},
{810, 2724, 1013, 2928},
{783, 1617, 1052, 1772},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{810, 2728, 1003, 2929},
{783, 1617, 1063, 1775},
{751, 3299, 1041, 3537},
{751, 3270, 1067, 3553},
{787, 1613, 1056, 1768},
{800, 2724, 1003, 2928},
{800, 2724, 1003, 2928},
{751, 3270, 1067, 3553},
{787, 1613, 1056, 1768},
{810, 2728, 1001, 2929},
{783, 1617, 1063, 1775},
{751, 3299, 1041, 3537},
{770, 3237, 1086, 3520},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{773, 1607, 1011, 1748},
{775, 3200, 1053, 3432},
{808, 2709, 1011, 2913},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{824, 1623, 1099, 1786},
{807, 3170, 1123, 3453},
{808, 2713, 1011, 2917},
{773, 1607, 1011, 1748},
{775, 3200, 1053, 3432},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{808, 3147, 1042, 3377},
{772, 2711, 935, 2911},
{764, 1595, 975, 1729},
{787, 3154, 1037, 3388},
{772, 2711, 935, 2911},
{764, 1593, 975, 1727},
{779, 3165, 1029, 3399},
{768, 1598, 982, 1733},
{771, 2714, 937, 2915},
{764, 1593, 975, 1727},
{772, 2711, 935, 2911},
{787, 3154, 1037, 3388},
{770, 2707, 933, 2907},
{808, 3145, 1042, 3375},
{766, 1604, 977, 1738},
{768, 1594, 982, 1729},
{778, 3156, 1028, 3390},
{772, 2711, 938, 2912},
{773, 1607, 1011, 1748},
{775, 3200, 1053, 3432},
{808, 2713, 1011, 2917},
{824, 1623, 1099, 1786},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{775, 3200, 1053, 3432},
{773, 1603, 1011, 1744},
{808, 2709, 1011, 2913},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{810, 2728, 1001, 2929},
{751, 3299, 1041, 3537},
{783, 1617, 1063, 1775},
{751, 3270, 1067, 3553},
{787, 1613, 1056, 1768},
{800, 2724, 1003, 2928},
{751, 3270, 1067, 3553},
{787, 1613, 1056, 1768},
{800, 2724, 1003, 2928},
{810, 2728, 1003, 2929},
{783, 1617, 1063, 1775},
{751, 3299, 1041, 3537},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{775, 3200, 1042, 3426},
{773, 1603, 1011, 1744},
{783, 1617, 1052, 1772},
{748, 3291, 1066, 3546},
{810, 2728, 1013, 2932},
{775, 3200, 1053, 3432},
{773, 1603, 1011, 1744},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{751, 3290, 1041, 3528},
{810, 2728, 991, 2926},
{783, 1617, 1054, 1770},
{751, 3270, 1067, 3553},
{787, 1613, 1056, 1768},
{800, 2724, 1003, 2928},
{810, 2728, 997, 2927},
{751, 3299, 1041, 3537},
{783, 1617, 1063, 1772},
{810, 2728, 1003, 2929},
{783, 1617, 1063, 1775},
{751, 3299, 1041, 3537},
{751, 3270, 1067, 3553},
{787, 1613, 1056, 1768},
{800, 2724, 1003, 2928},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{808, 2713, 1011, 2917},
{824, 1623, 1099, 1786},
{807, 3170, 1123, 3453},
{773, 1607, 1011, 1748},
{775, 3200, 1053, 3432},
{775, 3200, 1053, 3432},
{773, 1603, 1011, 1744},
{808, 2709, 1011, 2913},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{767, 1593, 978, 1727},
{772, 2711, 935, 2911},
{782, 3152, 1032, 3386},
{808, 3145, 1042, 3375},
{770, 2707, 933, 2907},
{766, 1604, 977, 1738},
{808, 2733, 1011, 2937},
{820, 1631, 1095, 1794},
{807, 3170, 1123, 3453},
{810, 2728, 1013, 2932},
{783, 1617, 1052, 1772},
{748, 3281, 1066, 3546},
{751, 3299, 1050, 3541},
{810, 2728, 1003, 2929},
{783, 1617, 1052, 1772},
{775, 3200, 1053, 3432},
{773, 1603, 1011, 1744},
{775, 3200, 1053, 3432},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{754, 3270, 1044, 3508},
{810, 2728, 991, 2926},
{783, 1617, 1054, 1770},
{770, 3237, 1086, 3520},
{785, 1603, 1054, 1758},
{800, 2724, 1003, 2928},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{751, 3299, 1041, 3537},
{810, 2728, 991, 2926},
{783, 1617, 1063, 1772},
{810, 2728, 1003, 2929},
{783, 1617, 1063, 1775},
{751, 3299, 1050, 3541},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{820, 1623, 1095, 1786},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{773, 1607, 1011, 1748},
{775, 3200, 1053, 3432},
{779, 3165, 1029, 3399},
{768, 1598, 982, 1733},
{771, 2714, 937, 2915},
{768, 1594, 982, 1729},
{778, 3156, 1028, 3390},
{772, 2711, 938, 2912},
{782, 3152, 1032, 3386},
{767, 1593, 978, 1727},
{772, 2711, 935, 2911},
{779, 3165, 1029, 3399},
{768, 1594, 982, 1729},
{772, 2711, 938, 2912},
{778, 3156, 1028, 3390},
{772, 2711, 935, 2911},
{768, 1594, 979, 1728},
{808, 2709, 1011, 2913},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{751, 3270, 1067, 3553},
{787, 1613, 1056, 1768},
{800, 2724, 1003, 2928},
{770, 3237, 1086, 3520},
{785, 1603, 1054, 1758},
{800, 2724, 1003, 2928},
{757, 3289, 1047, 3527},
{810, 2728, 991, 2926},
{783, 1617, 1054, 1770},
{751, 3299, 1041, 3537},
{783, 1617, 1063, 1772},
{810, 2728, 997, 2927},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{775, 3200, 1053, 3432},
{773, 1603, 1011, 1744},
{775, 3200, 1053, 3432},
{773, 1603, 1011, 1744},
{748, 3281, 1066, 3546},
{810, 2728, 1013, 2932},
{783, 1617, 1052, 1772},
{751, 3299, 1050, 3541},
{810, 2728, 1003, 2929},
{783, 1617, 1063, 1775},
{808, 2733, 1011, 2937},
{820, 1631, 1095, 1794},
{807, 3170, 1123, 3453},
{808, 2733, 1011, 2937},
{820, 1631, 1095, 1794},
{807, 3170, 1123, 3453},
{751, 3299, 1050, 3541},
{810, 2728, 1003, 2929},
{783, 1617, 1063, 1775},
{810, 2728, 1013, 2932},
{783, 1617, 1052, 1772},
{744, 3281, 1062, 3546},
{775, 3200, 1053, 3432},
{773, 1603, 1011, 1744},
{775, 3200, 1053, 3432},
{773, 1603, 1011, 1744},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{773, 1603, 1011, 1744},
{775, 3200, 1042, 3426},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{763, 3235, 1079, 3518},
{787, 1613, 1056, 1768},
{800, 2724, 1003, 2928},
{770, 3237, 1086, 3520},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{810, 2728, 997, 2927},
{751, 3299, 1041, 3537},
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]

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{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{773, 1603, 986, 1741},
{768, 2722, 935, 2915},
{786, 3171, 1036, 3405},
{769, 2717, 935, 2918},
{779, 3165, 1029, 3399},
{768, 1598, 982, 1733},
{812, 1619, 1087, 1782},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{812, 1619, 1087, 1782},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{776, 2731, 937, 2940},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{773, 1615, 1044, 1768},
{765, 3242, 1055, 3480},
{810, 2728, 987, 2928},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{773, 1603, 1006, 1746},
{775, 3200, 1042, 3426},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{788, 1603, 1057, 1758},
{808, 2709, 1011, 2913},
{800, 3166, 1116, 3449},
{804, 2709, 1007, 2913},
{800, 3166, 1116, 3449},
{785, 1603, 1054, 1758},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{770, 2730, 929, 2916},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{792, 1603, 1061, 1758},
{808, 2709, 1011, 2913},
{800, 3166, 1116, 3449},
{804, 2709, 1007, 2913},
{800, 3166, 1116, 3449},
{785, 1603, 1054, 1758},
{780, 3184, 1047, 3410},
{773, 1603, 998, 1748},
{773, 1603, 1006, 1746},
{772, 3207, 1039, 3433},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{800, 2717, 1003, 2921},
{800, 3166, 1116, 3449},
{785, 1603, 1054, 1758},
{775, 3200, 1065, 3438},
{773, 1615, 1044, 1768},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{765, 3242, 1055, 3480},
{810, 2728, 987, 2928},
{773, 1615, 1044, 1768},
{808, 1615, 1083, 1778},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{784, 2734, 938, 2931},
{812, 1619, 1087, 1782},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{812, 1619, 1087, 1782},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{773, 1603, 986, 1741},
{770, 2719, 936, 2920},
{786, 3171, 1036, 3405},
{779, 3165, 1029, 3399},
{768, 1598, 982, 1733},
{769, 2717, 935, 2918}]
   }
]

Input
OUTPUT
Video anonymization
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-anonymization")
instance = dp(name="my-audio-anonymization", instructions="")
instance.label(inputs=[{"audio_url":"https://cdn.super.ai/Webflow+assets/OutboundSampleRecording.mp3"}])

curl -X POST \
"https://super.ai/v1/apps/my-audio-anonymization/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":[{"audio_url":"https://cdn.super.ai/Webflow+assets/OutboundSampleRecording.mp3"}]}'

superai client create_jobs \
--app_id my-audio-anonymization \
--inputs [{"audio_url":"https://cdn.super.ai/Webflow+assets/OutboundSampleRecording.mp3"}]

[
   {
       "anonymized": [{773, 1615, 1029, 1768},
{775, 3200, 1065, 3438},
{780, 3184, 1047, 3410},
{773, 1603, 998, 1748},
{780, 3184, 1047, 3410},
{773, 1603, 998, 1748},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{781, 3170, 1097, 3453},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
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{800, 2717, 1003, 2921},
{800, 3166, 1116, 3449},
{785, 1603, 1054, 1758},
{770, 3217, 1086, 3500},
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{796, 2724, 999, 2928},
{808, 1615, 1083, 1778},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{776, 2731, 937, 2940},
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{775, 3200, 1053, 3432},
{807, 3170, 1123, 3453},
{800, 1607, 1069, 1762},
{808, 2709, 1011, 2913},
{812, 1619, 1087, 1782},
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{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
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{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{770, 2730, 929, 2916},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
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{773, 1603, 986, 1741},
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{773, 1615, 1011, 1756},
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{776, 2731, 937, 2940},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
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{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{807, 3170, 1123, 3453},
{800, 1607, 1069, 1762},
{808, 2709, 1011, 2913},
{776, 2731, 937, 2940},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{760, 3252, 1050, 3490},
{810, 2728, 987, 2928},
{773, 1615, 1044, 1768},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{781, 3170, 1097, 3453},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{800, 2717, 1003, 2921},
{800, 3166, 1116, 3449},
{785, 1603, 1054, 1758},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{780, 3184, 1047, 3410},
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{776, 3204, 1043, 3430},
{773, 1603, 998, 1748},
{808, 2709, 1011, 2913},
{800, 3166, 1116, 3449},
{788, 1603, 1057, 1758},
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{773, 1603, 998, 1748},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{800, 1607, 1069, 1762},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1603, 1006, 1746},
{780, 3211, 1047, 3437},
{780, 3184, 1047, 3410},
{773, 1603, 998, 1748},
{773, 1615, 1044, 1768},
{775, 3200, 1065, 3438},
{798, 2734, 971, 2923},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{800, 3166, 1116, 3449},
{800, 2717, 1003, 2921},
{785, 1603, 1054, 1758},
{793, 3166, 1109, 3449},
{796, 2717, 999, 2921},
{785, 1603, 1054, 1758},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{784, 2734, 938, 2931},
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{775, 3200, 1053, 3432},
{808, 1615, 1077, 1770},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{808, 1615, 1077, 1770},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{770, 2730, 929, 2916},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
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{773, 1603, 998, 1748},
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{773, 1615, 1011, 1756},
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{820, 1623, 1095, 1786},
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{800, 3166, 1116, 3449},
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{751, 3299, 1041, 3537},
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{787, 1613, 1056, 1768},
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{775, 3200, 1042, 3426},
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{772, 2711, 935, 2911},
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{779, 3165, 1029, 3399},
{768, 1598, 982, 1733},
{771, 2714, 937, 2915},
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{772, 2711, 935, 2911},
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{770, 2707, 933, 2907},
{808, 3145, 1042, 3375},
{766, 1604, 977, 1738},
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{778, 3156, 1028, 3390},
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{751, 3299, 1041, 3537},
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{751, 3270, 1067, 3553},
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{751, 3299, 1041, 3537},
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{775, 3200, 1042, 3426},
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{775, 3200, 1042, 3426},
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{783, 1617, 1052, 1772},
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{772, 2711, 935, 2911},
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{808, 3145, 1042, 3375},
{770, 2707, 933, 2907},
{766, 1604, 977, 1738},
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{783, 1617, 1052, 1772},
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{770, 3237, 1086, 3520},
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{800, 2724, 1003, 2928},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{751, 3299, 1041, 3537},
{810, 2728, 991, 2926},
{783, 1617, 1063, 1772},
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{773, 1615, 1011, 1756},
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{779, 3165, 1029, 3399},
{768, 1598, 982, 1733},
{771, 2714, 937, 2915},
{768, 1594, 982, 1729},
{778, 3156, 1028, 3390},
{772, 2711, 938, 2912},
{782, 3152, 1032, 3386},
{767, 1593, 978, 1727},
{772, 2711, 935, 2911},
{779, 3165, 1029, 3399},
{768, 1594, 982, 1729},
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{778, 3156, 1028, 3390},
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{808, 2709, 1011, 2913},
{820, 1623, 1095, 1786},
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{770, 3237, 1086, 3520},
{785, 1603, 1054, 1758},
{800, 2724, 1003, 2928},
{757, 3289, 1047, 3527},
{810, 2728, 991, 2926},
{783, 1617, 1054, 1770},
{751, 3299, 1041, 3537},
{783, 1617, 1063, 1772},
{810, 2728, 997, 2927},
{770, 3217, 1086, 3500},
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{775, 3200, 1042, 3426},
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]

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{800, 3166, 1116, 3449},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{781, 3170, 1097, 3453},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{773, 1615, 1044, 1768},
{775, 3216, 1065, 3454},
{806, 2744, 981, 2938},
{773, 1615, 1044, 1768},
{775, 3200, 1065, 3438},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{812, 1619, 1087, 1782},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{820, 1623, 1095, 1786},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{782, 3172, 1032, 3406},
{769, 2717, 935, 2918},
{770, 1598, 984, 1733},
{770, 2719, 936, 2920},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{773, 1603, 986, 1741},
{768, 2722, 935, 2915},
{786, 3171, 1036, 3405},
{769, 2717, 935, 2918},
{779, 3165, 1029, 3399},
{768, 1598, 982, 1733},
{812, 1619, 1087, 1782},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{812, 1619, 1087, 1782},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{776, 2731, 937, 2940},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{773, 1615, 1044, 1768},
{765, 3242, 1055, 3480},
{810, 2728, 987, 2928},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{775, 3200, 1065, 3438},
{773, 1615, 1029, 1768},
{773, 1603, 1006, 1746},
{775, 3200, 1042, 3426},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{788, 1603, 1057, 1758},
{808, 2709, 1011, 2913},
{800, 3166, 1116, 3449},
{804, 2709, 1007, 2913},
{800, 3166, 1116, 3449},
{785, 1603, 1054, 1758},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{770, 2730, 929, 2916},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{786, 3171, 1047, 3410},
{773, 1603, 998, 1748},
{776, 2731, 957, 2939},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{792, 1603, 1061, 1758},
{808, 2709, 1011, 2913},
{800, 3166, 1116, 3449},
{804, 2709, 1007, 2913},
{800, 3166, 1116, 3449},
{785, 1603, 1054, 1758},
{780, 3184, 1047, 3410},
{773, 1603, 998, 1748},
{773, 1603, 1006, 1746},
{772, 3207, 1039, 3433},
{775, 3200, 1042, 3426},
{773, 1603, 1006, 1746},
{800, 2717, 1003, 2921},
{800, 3166, 1116, 3449},
{785, 1603, 1054, 1758},
{775, 3200, 1065, 3438},
{773, 1615, 1044, 1768},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{770, 3217, 1086, 3500},
{785, 1603, 1054, 1758},
{796, 2724, 999, 2928},
{765, 3242, 1055, 3480},
{810, 2728, 987, 2928},
{773, 1615, 1044, 1768},
{808, 1615, 1083, 1778},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{784, 2734, 938, 2931},
{812, 1619, 1087, 1782},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{812, 1619, 1087, 1782},
{807, 3170, 1123, 3453},
{808, 2709, 1011, 2913},
{773, 1615, 1011, 1756},
{775, 3200, 1053, 3432},
{768, 2722, 935, 2915},
{773, 1603, 986, 1741},
{786, 3171, 1036, 3405},
{773, 1603, 986, 1741},
{770, 2719, 936, 2920},
{786, 3171, 1036, 3405},
{779, 3165, 1029, 3399},
{768, 1598, 982, 1733},
{769, 2717, 935, 2918}]
   }
]

Input
OUTPUT
Audio anonymization
By Category
  • Categorization
  • Annotation
  • Tagging
  • Moderation
By Sensor Type
  • Drone
  • Satellite
  • GPS
  • Gyroscope
By DATA TYPE
  • Image
  • Video
  • Audio
  • Text
By Industry
  • Agriculture
  • Retail
  • Healthcare
  • Industrial

How It Works

Higher quality & cost efficiency over time as more data gets routed to AI.

Data program executes small tasks (like an assembly line)

Router channels the small tasks to the best human or machine to make predictions

Combiner takes each prediction and intelligently assembles them into a single label

AI Trainer automatically trains new AI algorithms and qualifies new humans and AI based on your data

QA system, measures label quality, relabels data if needed, and updates router

Data program executes small tasks (like an assembly line)

Router channels the small tasks to the best human or machine to make predictions

Combiner takes each prediction and intelligently assembles them into a single label

AI Trainer automatically trains new AI algorithms and qualifies new humans and AI based on your data

QA system, measures label quality, relabels data if needed, and updates router

Under the hood

Data programs break a complex task into many simple tasks

Just like an assembly line, the simpler the tasks, the more you can automate with AI.

quality
34
%
Avg.
Higher Quality
Latency
57
%
Avg.
Faster outcomes
Cost
62
%
Avg.
Lower Cost

Meta AI

The AI Compiler automatically trains AI models for you over time.

This keeps the quality the same but drastically lowers the cost.
You can also use the model in production.

Cost
62
%
Average cost
reduction

Compare

Routes to the mathematically optimal combination of labelers

Each time you add more qualified human labelers, train more AI, and update the router and combiner, you improve the quality and lower cost.

Quality

It’s important to know each part of the pipeline is high quality.

Qualification

In order to ensure high quality outputs, before a labeler can start working they must pass a rigorous suite of qualification tests.

1. Skill Tree

They must pass skill tests such as understanding English, drawing image annotations, following instructions, etc.

2. Template qualification

They must qualify on the data program template. This is useful if you haven’t yet uploaded enough ground-truth data.

3. Instance qualification

The final test is to be able to pass data program tasks based on your specific data. This is the most important qualitification.

Dynamic ground truth

We regularly send labelers audit tasks in order to verify they continue to maintain high quality standards.

Tasks we already know the answers to (ground truth) are sent to labelers to randomly check if they are still giving high-quality answers.
Labelers who are very good get sent less checks, labelers who are questionable get sent more checks. The frequency is determined by reinforcement learning (based up a partially observed Markov decision process).

Consistency score

Sometimes human-labelers can get fatigued, a cheap way to mitigate this is to send them the same task again but with permuted answers

Consistency score is set up for evaluating consistency of translation quality. For instance, if your last 3 scores are "7.0", "7.0", "7.0", your average score is "7.0". Meanwhile, if your last 3 scores are "10.0", "10.0", "1.0", your average score is sitll "7.0", but your "consistency score" will be signicantly lower than the previous case.
Sending the same task again but with some permutations 
is a good way to assess this drop in performance.

Performance incentives

To keep labelers motivated and constantly improving, reward is directly tied to value.

Labers get compensated based on the value they add to you. This creates a deep incentive to get the answer correct, improve their skills, and level up. High performing people get more responsibility over time.

Generative Model

The generative model creates a model for what an ideal labeler looks like and removes labelers which deviate too far.

The generative model, models correlations between labelers, estimates a latent trust score, and predicts how high quality a labeler will be on a specific task given other labelers working on the same task. If two labelers are very similar in their predictions it doesn’t make sense to combine them in a consensus task, but it does make sense to use them to predict and assess quality.

1.
Skill Tree

They must pass skill tests such as understanding English, drawing image annotations, following instructions, etc.

2.
Template qualification

They must qualify on the data program template.
This is useful if you haven’t yet uploaded enough ground-truth data.

3.
instance qualification

The final test is to be able to pass data program tasks based on your specific data. This is the most important qualitification.

Tasks we already know the answers to (ground truth) are sent to labelers to randomly check if they are still giving high-quality answers.

Labelers who are very good get sent less checks, while labelers who are questionable get sent more checks. The frequency is determined by reinforcement learning (based upon a partially observed Markov decision process).

Consistency scores are powerful because they can 
be used even if not ground truth is present. Sometimes there are temporary drops 
in performance, due to 
fatigue or distraction.

Sending the same task again but with some permutations 
is a good way to assess this drop in performance.

Labelers get compensated based on the value they provide to you. This creates a deep incentive to get the answer correct, improve their skills,

and level up. High performing people get more responsibility over time.

The generative model, models correlations between labelers, estimates a latent trust score, and predicts how high quality a labeler will be on a specific task given other labelers working on the same task.

If two labelers are very similar in their predictions it doesn’t make sense to combine them in a consensus task, but it does make sense to use them to predict and assess quality.

Consensus

Multiple labelers are combined together to make a high quality label. The more trustworthy and uncorrelated labelers are, and the more they agree with each other, the higher quality the output is.

The most trust worthy and uncorrelated labelers are and they agree, the higher quality the end result. If labelers disagree and the entropy of this disagreement goes above a threadhold (based on your desired performance) then the task goes down a further processing funnel to guarantee quality.

Incremental Relabeling

Tasks are incrementally relabeled until 
the quality is determined to be high-enough. The number of relabels are determined dynamically.

Not all tasks and data are the same difficultly level. Some tasks can be answered confidently by 1 labeler, some tasks need a combination of multiple labelers. The incremental relabeling system determines how many labelers are needed for a particular task to get a high quality result.

Anomaly Detection

A group of experts are used to determine if ultimately a task is high enough quality to be used as a final label.

The most trust worthy and uncorrelated labelers are and they agree, the higher quality the end result. If labelers disagree and the entropy of this disagreement goes above a threadhold (based on your desired performance) then the task goes down a further processing funnel to guarantee quality.

Expert Reviews

A group of experts are used to determine 
if ultimately a task is high enough quality 
to be used as a final label.

After a task is passed through the QA pipeline it will either get resolved as high enough quality, or it will eventually get passed to an expert review team to ensure ultimate quality.
This is a committee of trained experts who follow a control procedure to make a final determination on a task. You can also use your own experts. The goal is to use this commitee as little as possible.

ML Likelihood classifier

A MLE estimator is used to flag a data point 
if the label is too far outside it’s expected response.

A likelihood classifier is use to create a distribution of the expected bounds of outputs. If the actual output deviates too far far the expected statistical distribution then the task is flagged for further review.

The more trustworthy and uncorrelated labelers are, and the more they agree, the higher quality the end result. If labelers disagree and the entropy of this disagreement goes above a threshold (based on your desired performance), then the task goes down a further processing funnel to guarantee quality.

Not all tasks and data are the same difficultly level. Some tasks can be answered confidently by 1 labeler, some tasks need a combination of multiple labelers. The incremental relabeling system determines how many labelers are needed for a particular task to get a high quality result.

The most trust worthy and uncorrelated labelers are and they agree, the higher quality the end result. If labelers disagree and the entropy of this disagreement goes above a threadhold (based on your desired performance) then the task goes down a further processing funnel to guarantee quality.

After a task is passed through the QA pipeline it will either get resolved as high enough quality, or it will eventually get passed to an expert review team to ensure ultimate quality.

This is a committee of trained experts who follow a control procedure to make a final determination on a task. You can also use your own experts. The goal is to use this commitee as little as possible.

A likelihood classifier is use to create a distribution of the expected bounds of outputs. If the actual output deviates too far far the expected statistical distribution then the task is flagged for further review.

Instructions are created as modules. Each module can be audited and tested separately. If tasks in a data program categorically drop below the quality baseline, then instructions are sent through a master data program, broken down into their smallest pieces and run to check for consistency.

If the automatic escalation process does not yiled higher quality instructions, or an anomaly is detected, the instructions get sent to customer success representatives who are experts in writing and debugging instructions.

An NLP classifier is run to check for proper sytactic and semantic structure. The classifier is trained on millions of successful instructions and can automatically detect the most common errors and give an assessment of what to fix. You can set it to fix things automatically.

Data linter

The data linter automatically identifies potential issues and suggests fixes for common data errors in structured and unstructured data.

The data linting routines automatically 1) Flag potiential issues in the data (e.g. numerical features with widely different scales), and 2) Suggest fixes or potientially useful feature transformations of the data. It works on structured and unstructed data.

Noise model

The noise model has been trained over billions of data points to flag data if it’s not high-quality enough to meet your desired quality.

The noise model is trained over billions of unstructured data points (images, audio, video, etc.) to determine a proper range of the signal to noise ratio of your particular data. It merges Gaussian additative noise, Poisson noise, and multiplicative noise to identify bad data. In addition to the pior distribution of noise, the noise models are trained on your successfully labeled data to decrease the variance of the proper signal to noise ratio of your data.

Master Quality Data Program

The master data quality data program executes a workflow to assess using human + AI if the data is quality enough to meet your desired quality. If not you will be alerted, and suggestions will be made to help fix the data.

If the certainty of the noise model or the data linter is not high enough yet, the data will get passed the the master data quality data program to get audited by a crowd of expert labelers. If the data is determined to be below a threshold needed for the desired quality, you’ll get alerted and suggestions will be made on how to fix it.

The data linting routines automatically 1) Flag potiential issues in the data (e.g. numerical features with widely different scales), and 2) Suggest fixes or potientially useful feature transformations of the data. It works on structured and unstructed data.

The noise model is trained over billions of unstructured data points (images, audio, video, etc.) to determine a proper range of the signal to noise ratio of your particular data. It merges Gaussian additative noise,

Poisson noise, and multiplicative noise to identify bad data. In addition to the pior distribution of noise, the noise models are trained on your successfully labeled data to decrease the variance of the proper signal to noise ratio of your data.

If the certainty of the noise model or the data linter is not high enough yet, the data will get passed the the master data quality data program to get audited by a crowd of expert labelers. If the data is determined to be below a threshold needed for the desired quality, you’ll get alerted and suggestions will be made on how to fix it.

Data Engine

Fastest way to train your machine learning models.

super.AI’s Data Engine makes efficient use of your data by sampling only the most important parts, and finding data similar to it.

Dashboard

Central hub of training data and models.

The dashboard is a system of record for all your data. Collaborate with role based access controls, view labeler performance, flag and review labels, and use it as a central source of truth.

You can customize and iterate in real time.

Real world data changes, so it’s important to be able to update your project in real time.

FLEXIBILITY

Billions of custom data and task variations.

Customers

What our customers have to say

“We were starting to get frustrated, just labeling meeting data with our own team. We tried to take technical shortcuts or compromise the user experience. But we realized we needed to scale our ML and human computation efforts.”

LogMeIn

"There are very few annotated recordings of kids reading so we needed to build our own datasets. Before super.AI we worked with two people and we had very manual way of annotating our data. It was absolutely not scaling as we had more data. super.AI is able to handle a lot of annotations very quickly and to really customise a solution to our needs."

Lalilo
Calum Barnes
Lead Product Manager, LogMeIn

“We were starting to get frustrated, just labeling meeting data with our own team. We tried to take technical shortcuts or compromise the user experience. But we realized we needed to scale our ML and human computation efforts.”

Morgane Daniel
Lead Speech Scientist, Lalilo

"There are very few annotated recordings of kids reading so we needed to build our own datasets. Before super.AI we worked with two people and we had very manual way of annotating our data. It was absolutely not scaling as we had more data. super.AI is able to handle a lot of annotations very quickly and to really customise a solution to our needs."

Old & New

A new programming paradigm for AI

Making access to AI available to everyone

50 years ago

Only the smartest people in the world could use computers 50 years ago. They were expensive and could only be programmed in binary. Over time people built abstractions: assembly, compiled languages, interpreted languages, GUI. Now almost anyone can use a computer. This changed the world.

Today

Only the smartest and most well funded companies can effectively use AI. Just like 50 years ago, when computers only understood binary, today's AI only understands labeled data. At super.AI, we built abstractions on top of labeled data, AI assembly language, AI compiler and Data Programming.

Vision

But we aren't even close to being done. We made big steps with the AI Compiler and Data Programming, but our mission is to ultimately make AI available for everyone.

Gui
AI for everyone
Api
Marketplace
Compiled language
Data program
Assembly language
Labeling primitives
Machine language
Labeled data
Old way
New Way
Old
Way
NEW
way
Gui
AI for everyone
Api
Marketplace
Compiled language
Data program
Assembly language
Labeling primitives
Machine language
Labeled data

Old way

New way

Label data randomly
Pray it works
Label more data if doesn’t look good
failure rate
90%
Enterprise AI projects
Quality
Speed
Satisfaction
Flexibility
Decompose problem into reusable program
The AI compiler automatically:
– Finds and labels only the most valuable data
– Routes only to optimal labelers
– Improves over time
– Update labels incrementally
– Finds and labels only the most valuable data
failure rate
90%
Enterprise AI projects
Efficiency
100%
Fastest way to train AI

Old way

Label data randomly
Pray it works
Label more data if doesn’t look good
Quality
SPeed
SATISFACTION
FLEXIBILITY
failure rate
90%
Enterprise AI projects

New Way

Decompose problem into reusable program
The AI compiler automatically
Finds and labels only the most valuable data
Routes only to optimal labelers
Improves over time
Update labels incrementally
Quality
SPeed
SATISFACTION
FLEXIBILITY
efficiency
100%
Fastest way to train AI

We are researchers and engineers who have spent the last 2 years creating a new programming interface for AI.

Join us

work alonGside RESEARCHERS from