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SnapOtter/apps/docs/tools/auto-subtitles.md
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SnapOtterandGitHub ecc0a45f0e docs: per-tool reference pages for all 157 tools (+ fix docs build) (#261)
* fix(docs): keep gray-matter on js-yaml 3 so the docs site builds

The js-yaml >=4.2.0 override from #257 forced js-yaml 4 onto gray-matter (used by vitepress and vitepress-plugin-llms), which calls the removed yaml.safeLoad and broke `vitepress build`. Scope a gray-matter>js-yaml ^3.14.1 override so gray-matter keeps the v3 API (build-time, trusted frontmatter only) while app code stays on js-yaml 4.2.0+.

* docs: add per-tool reference pages for all 157 tools, with a modality sidebar

Generate /tools/<id> pages for the 104 tools that lacked one (video 29, audio 17, document 36, data 10, and 12 newer image tools), matching the existing page format (API endpoint, parameters from the OpenAPI spec, curl example, response, notes). Async/AI tools document the 202+SSE flow and feature-bundle requirement.

Sidebar: add Video / Audio / PDF & Documents / Data groups with per-tool links, fold the 12 new image tools into the existing image categories, and replace the placeholder rest.md-anchor group. Docs site builds cleanly (157 pages, no dead links).
2026-06-17 11:11:37 +08:00

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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.