docs: organize tool pages by modality under /tools/<modality>/

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).
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SnapOtter
2026-06-18 14:12:28 +08:00
parent 03c1a5e36f
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# PNG Transparency Fixer
Fix fake transparent PNGs in one click. Uses AI matting (BiRefNet HR Matting model) to produce true alpha transparency, with defringe post-processing to clean up edges.
## API Endpoint
`POST /api/v1/tools/image/transparency-fixer`
**Processing:** Asynchronous (returns 202, poll `/api/v1/jobs/{jobId}/progress` for status via SSE)
**Model bundle:** `background-removal` (4-5 GB)
## Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| file | file | Yes | - | Image file (multipart) |
| defringe | number | No | `30` | Defringe intensity (0-100). Removes semi-transparent fringe pixels around edges |
| outputFormat | string | No | `"png"` | Output format: `png` or `webp` |
| removeWatermark | boolean | No | `false` | Apply watermark removal pre-processing (median filter) |
## Example Request
```bash
curl -X POST http://localhost:13490/api/v1/tools/image/transparency-fixer \
-F "file=@fake-transparent.png" \
-F 'settings={"defringe":40,"outputFormat":"png"}'
```
## Response
### Initial Response (202 Accepted)
```json
{
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"async": true
}
```
### Progress (SSE at `/api/v1/jobs/{jobId}/progress`)
```
event: progress
data: {"phase":"processing","stage":"Processing transparency...","percent":50}
```
### Final Result (via SSE)
```json
{
"phase": "complete",
"percent": 100,
"result": {
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"downloadUrl": "/api/v1/download/{jobId}/fake-transparent_fixed.png",
"originalSize": 180000,
"processedSize": 150000,
"filename": "fake-transparent.png"
}
}
```
## Notes
- Requires the `background-removal` model bundle to be installed (4-5 GB).
- Uses `birefnet-hr-matting` as the primary model for high-quality alpha matting. Falls back to `birefnet-general` if the HR model runs out of memory.
- The `defringe` option removes semi-transparent fringe pixels that AI matting sometimes leaves around hair, fur, and fine edges. It works by blurring the alpha channel and zeroing out low-confidence pixels.
- The `removeWatermark` option applies a median filter pre-processing step. It is a basic watermark reduction, not a dedicated watermark removal tool.
- Only outputs PNG or lossless WebP (both support alpha transparency).
- Supports HEIC/HEIF, RAW, TGA, PSD, EXR, and HDR input formats via automatic decoding.