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SnapOtter
d24e244af4
Move all 157 tool pages into image/video/audio/pdf/data subfolders so URLs read /tools/<modality>/<id> (e.g. /tools/image/crop). Nest the image sub-categories under an Image group in the sidebar so the nav reads by modality. Add public/_redirects (301, clean + .html forms) mapping every old flat /tools/<id> URL to its new path so inbound links keep working. Rewrite all internal /tools links. Verified with a clean docs build (no dead links).
68 lines
2.8 KiB
Markdown
68 lines
2.8 KiB
Markdown
# Smart Crop
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Smart subject-aware, face-aware, or trim-based cropping. Uses Sharp's attention/entropy strategies and AI face detection for intelligent framing.
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## API Endpoint
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`POST /api/v1/tools/image/smart-crop`
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**Processing:** Synchronous (uses `createToolRoute` factory, returns result directly)
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**Model bundle:** `face-detection` (200-300 MB) -- required only for `face` mode
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## Parameters
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| Parameter | Type | Required | Default | Description |
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|-----------|------|----------|---------|-------------|
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| file | file | Yes | - | Image file (multipart) |
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| mode | string | No | `"subject"` | Crop mode: `subject`, `face`, `trim`. (Legacy values `attention` and `content` map to `subject` and `trim`) |
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| strategy | string | No | `"attention"` | Strategy for subject mode: `attention` or `entropy` |
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| width | integer | No | - | Target width in pixels |
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| height | integer | No | - | Target height in pixels |
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| padding | integer | No | `0` | Padding percentage around subject (0-50) |
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| facePreset | string | No | `"head-shoulders"` | Face framing preset: `closeup`, `head-shoulders`, `upper-body`, `half-body` |
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| sensitivity | number | No | `0.5` | Face detection sensitivity (0-1) |
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| threshold | integer | No | `30` | Trim mode threshold for background detection (0-255) |
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| padToSquare | boolean | No | `false` | Pad trimmed result to a square |
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| padColor | string | No | `"#ffffff"` | Background color for padding |
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| targetSize | integer | No | - | Target size for padded output (pixels) |
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| quality | integer | No | - | Output quality (1-100) |
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## Example Request
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```bash
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curl -X POST http://localhost:13490/api/v1/tools/image/smart-crop \
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-F "file=@portrait.jpg" \
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-F 'settings={"mode":"face","width":1080,"height":1080,"facePreset":"head-shoulders"}'
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```
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## Response (200 OK)
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```json
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{
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"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"downloadUrl": "/api/v1/download/{jobId}/portrait_smartcrop.jpg",
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"originalSize": 500000,
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"processedSize": 320000
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}
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```
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## Modes
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### Subject Mode
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Uses Sharp's attention or entropy strategy to find the most visually interesting region and crops around it.
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### Face Mode
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Detects faces using AI, then frames the crop around detected faces using the specified `facePreset`. Falls back to subject mode (attention strategy) if no faces are detected.
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### Trim Mode
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Removes uniform borders/background from the image. Optionally pads the result to a square with a specified background color and target size.
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## Notes
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- This tool uses the synchronous `createToolRoute` factory, so it returns a standard response (not 202 async).
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- Face mode requires the `face-detection` model bundle (200-300 MB).
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- Subject and trim modes work without any AI model bundle.
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- The `facePreset` determines how tightly the crop frames detected faces: `closeup` is the tightest, `half-body` is the widest.
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- If no width/height are specified, defaults to 1080x1080.
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