Openai Whisper

Local speech-to-text with the Whisper CLI (no API key). Use when the user needs to transcribe audio, convert speech to text, generate subtitles, translate spoken language, or produce SRT/VTT captions from mp3, m4a, or wav files using the local Whisper model. Use when this capability is needed.

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File contents

Whisper (CLI)

Use whisper to transcribe audio locally.

Quick start

  • whisper /path/audio.mp3 --model medium --output_format txt --output_dir .
  • whisper /path/audio.m4a --task translate --output_format srt

Notes

  • Models download to ~/.cache/whisper on first run.
  • --model defaults to turbo on this install.
  • Use smaller models for speed, larger for accuracy.

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

tomevault-io/skills-registry/tree/main/elizaos--eliza--openai-whisper commit e342a50baf

Frequently asked questions

npx skillmds@latest add tomevault-io/openai-whisper-2