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feat(i18n): 21-language pipeline, landing/docs/API wiring, landing+API translations

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Shared Claude Code translation pipeline (scripts/i18n, no API key) plus Astro/VitePress/Scalar i18n wiring. Landing and API reference translated into all 20 languages; docs i18n wiring + English source anchors. The translated docs markdown (apps/docs/<locale>/**, 3,620 files) follows in a companion PR because it exceeds GitHub's per-PR CI file limit.
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SnapOtter
2026-07-11 13:01:55 +08:00
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parent 2e91368816
commit 00b651c9f8
353 changed files with 564607 additions and 2594 deletions
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apps/docs/tools/video/auto-subtitles.md
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description: Generate subtitle files from video audio tracks using AI.
---
# Auto Subtitles
# Auto Subtitles {#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
## API Endpoint {#api-endpoint}
`POST /api/v1/tools/video/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
## Parameters {#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
## Example Request {#example-request}
```bash
curl -X POST http://localhost:1349/api/v1/tools/video/auto-subtitles \
@@ -28,7 +28,7 @@ curl -X POST http://localhost:1349/api/v1/tools/video/auto-subtitles \
-F 'settings={"language": "en", "format": "srt"}'
```
## Example Response
## Example Response {#example-response}
```json
{
@@ -37,7 +37,7 @@ curl -X POST http://localhost:1349/api/v1/tools/video/auto-subtitles \
}
```
## Notes
## Notes {#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.