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faster-whisper

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Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables ~20x realtime transcription. SRT/VTT/TTML/CSV subtitles, speaker diarization, URL/YouTube input, batch processing with ETA, transcript search, chapter detection, per-file language map.

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# Faster Whisper

Local speech-to-text using faster-whisper — a CTranslate2 reimplementation of OpenAI's Whisper that runs **4-6x faster** with identical accuracy. With GPU acceleration, expect **~20x realtime** transcription (a 10-minute audio file in ~30 seconds).

## When to Use

Use this skill when you need to:

- **Transcribe audio/video files** — meetings, interviews, podcasts, lectures, YouTube videos
- **Generate subtitles** — SRT, VTT, ASS, LRC, or TTML broadcast-standard subtitles
- **Identify speakers** — diarization labels who said what (`--diarize`)
- **Transcribe from URLs** — YouTube links and direct audio URLs (auto-downloads via yt-dlp)
- **Transcribe podcast feeds** — `--rss <feed-url>` fetches and transcribes episodes
- **Batch process files** — glob patterns, directories, skip-existing support; ETA shown automatically
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