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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).
46 lines
1.7 KiB
Markdown
46 lines
1.7 KiB
Markdown
---
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description: Generate subtitle files from video audio tracks using AI.
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---
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# Auto Subtitles
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Generate subtitle files from a video's audio track using AI-powered speech recognition (faster-whisper). Supports auto-detection and 10 explicit languages.
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## API Endpoint
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`POST /api/v1/tools/video/auto-subtitles`
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Accepts multipart form data with a video file and a JSON `settings` field. This is an async endpoint - it returns `202 Accepted` immediately and progress is streamed via SSE at `GET /api/v1/jobs/{jobId}/progress`.
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## Parameters
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| Parameter | Type | Required | Default | Description |
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|-----------|------|----------|---------|-------------|
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| language | string | No | `"auto"` | Speech language: `auto`, `en`, `de`, `fr`, `es`, `zh`, `ja`, `ko`, `id`, `th`, `vi` |
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| format | string | No | `"srt"` | Output subtitle format: `srt`, `vtt` |
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## Example Request
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```bash
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curl -X POST http://localhost:1349/api/v1/tools/video/auto-subtitles \
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-H "Authorization: Bearer si_your-api-key" \
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-F "file=@clip.mp4" \
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-F 'settings={"language": "en", "format": "srt"}'
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```
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## Example Response
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```json
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{
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"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"async": true
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}
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```
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## Notes
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- This is an AI tool that requires the **transcription** feature bundle to be installed. If the bundle is not installed, the API returns `501 Feature Not Installed` with instructions to install it via the admin UI.
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- The `auto` language option uses whisper's built-in language detection. Specifying the language explicitly improves accuracy and speed.
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- SRT is the most widely supported subtitle format. VTT (WebVTT) is the standard for web video players.
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- Progress updates are available via SSE at `GET /api/v1/jobs/{jobId}/progress` until the job completes.
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