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- Auto Subtitle
On the recordRead 12 Oct 202628 facts
Auto Subtitle
On the record
- Burn-in captions
- Nogithub.com · read 19 Sep 2026
- Caption styling
- Nogithub.com · read 19 Sep 2026
- Debug logs
- Exported debug logs can include recognized text and timing details but do not include audio or video bytes; the guide advises reviewing logs before sharing.github.com · read 12 Oct 2026
- Editing
- The editor includes a video player with caption overlay, a magnetic timeline, and tools to edit, split, merge, retime, and validate subtitle cues.github.com · read 12 Oct 2026
- File formats
- It imports SRT, WebVTT, and Auto Subtitle project JSON, and exports SRT, WebVTT, TXT transcripts, and project JSON.github.com · read 12 Oct 2026
- Import and export
- It imports SRT, WebVTT, and Auto Subtitle project JSON, and exports SRT, WebVTT, TXT transcripts, and project JSON.github.com · read 12 Oct 2026
- Languages and models
- The guide lists Auto with English fallback, English, Spanish, French, German, Japanese, Korean, and Chinese, plus Tiny, Base, Large v3 Turbo, and Distil Large v3 models.github.com · read 12 Oct 2026
- License
- The project source code is MIT licensed.github.com · read 12 Oct 2026
- Limitations
- Transcription can take significant memory and time, the complete decoded audio buffer is held in browser memory, and videos with multiple audio streams use the first stream.github.com · read 12 Oct 2026
- Local data
- Project autosave uses browser IndexedDB, while theme preference and diagnostic history use localStorage.github.com · read 12 Oct 2026
- Local data and privacy
- The project says video and audio are processed in the browser, project autosave uses IndexedDB, and the app has no account system, application backend, analytics, or external AI API integration.github.com · read 12 Oct 2026
- Local transcription
- It runs Whisper ONNX models through Transformers.js in the browser and extracts audio with FFmpeg.wasm.github.com · read 12 Oct 2026
- Model downloads
- Network access is needed to install dependencies and normally to download each selected model the first time; cached models can run locally afterward.github.com · read 12 Oct 2026
- Network use
- Network access is needed to install dependencies and normally to download each selected Whisper model the first time; later transcription can run locally while the model remains cached.github.com · read 12 Oct 2026
- Operating requirements
- The README lists 64-bit Windows, macOS, or Linux with a current desktop browser, Node.js 20.19+ or 22.12+, and 8 GB RAM as a practical minimum.github.com · read 12 Oct 2026
- Privacy and integrations
- The project states that it has no application backend, accounts, analytics, tracking, paid transcription API, or external AI API integration; selected media is processed in the browser.github.com · read 12 Oct 2026
- Product
- Auto Subtitle is a local-first browser workspace for generating, reviewing, and exporting subtitles from video.github.com · read 12 Oct 2026
- Purpose
- Auto Subtitle is a local-first browser workspace that generates, reviews, edits, and exports subtitles from video.github.com · read 12 Oct 2026
