Use the Detect and Crop API on apiai.me — call via REST, test in the dashboard, or process in bulk.
One POST request. Get the result back directly — as an image, video, or JSON depending on the tool.
curl -X POST https://apiai.me/api/workflow/detect-and-crop \
-H "X-API-Key: YOUR_API_KEY" \
-F "image=@input.jpg" \
-F "box_threshold=0.25" \
-F "image=@image.jpg" \
-F "min_padding=50" \
-F "padding_percent=5" \
-F "query=complete logo with text, full team logo with text, entire emblem, club logo" \
-F "safety_margin=30" \
-F "text_threshold=0.25"
--output result.png
Test this tool visually before writing any code. Upload an image, set parameters, and see the result live. When it looks right, copy the auto-generated curl command and paste it into your app.
Process hundreds of images at once without writing a loop. Upload a CSV with one row per item, set your parameters, and download the results as a ZIP when they're done.
| Name | Required | Description | Default / Options |
|---|---|---|---|
box_threshold |
optional | Confidence threshold for detection (default: 0.25) | 0.25
|
image |
required | Logo image to process | — |
min_padding |
optional | Minimum padding in pixels (default: 50) | 50
|
padding_percent |
optional | Padding as % of logo size (default: 5) | 5
|
query |
optional | Detection prompt (default: | complete logo with text, full team logo with text, entire emblem, club logo
|
safety_margin |
optional | Extra safety pixels (default: 30) | 30
|
text_threshold |
optional | Text threshold for detection (default: 0.25) | 0.25
|
Get an API key, test Detect and Crop in the dashboard, and copy the curl command.