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SnapOtter/apps/docs/tools/video/auto-subtitles.md
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SnapOtter 8532f3227b docs: audit all 157 tool pages against live schemas
Reconcile every tool page's parameters, defaults, and response shape against the tool's Zod settings schema and executionHint in code. Notable fixes: color-palette (add count + format params, hex output, median-cut algorithm), favicon (add 5 params, was documented as having none), qr-generate (add logoDataUri), convert (add ppm/eps/tga formats), video-loudnorm (-16 LUFS not -14), smart-crop (async 202 not sync 200), images-to-video (1080x1080 square), and several output-filename and behavior-note corrections.

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---
description: Generate subtitle files from video audio tracks using AI.
---
# Auto Subtitles
Generate subtitle files from a video's audio track using AI-powered speech recognition (faster-whisper). Supports auto-detection and 10 explicit languages.
## API Endpoint
`POST /api/v1/tools/auto-subtitles`
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`.
## Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| language | string | No | `"auto"` | Speech language: `auto`, `en`, `de`, `fr`, `es`, `zh`, `ja`, `ko`, `id`, `th`, `vi` |
| format | string | No | `"srt"` | Output subtitle format: `srt`, `vtt` |
## Example Request
```bash
curl -X POST http://localhost:1349/api/v1/tools/auto-subtitles \
-H "Authorization: Bearer si_your-api-key" \
-F "file=@clip.mp4" \
-F 'settings={"language": "en", "format": "srt"}'
```
## Example Response
```json
{
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"async": true
}
```
## Notes
- 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.
- The `auto` language option uses whisper's built-in language detection. Specifying the language explicitly improves accuracy and speed.
- SRT is the most widely supported subtitle format. VTT (WebVTT) is the standard for web video players.
- Progress updates are available via SSE at `GET /api/v1/jobs/{jobId}/progress` until the job completes.