Openai Whisper
Local speech-to-text with the Whisper CLI (no API key).
Peter Steinberger
@steipete
What This Skill Does
Transcribes audio files to text locally using OpenAI's Whisper CLI, with no API key or internet required. Supports multiple output formats (txt, srt, vtt) and model sizes for speed vs. accuracy trade-offs.
Replaces cloud-based speech-to-text services by running entirely offline on your own machine, eliminating API costs and privacy concerns.
When to Use It
- Transcribe meeting recordings or lecture audio to searchable text
- Generate subtitles (SRT/VTT) for video content
- Translate non-English speech to English text in one command
- Convert voice memos or dictation notes to plain text
- Process sensitive audio files that cannot be sent to cloud APIs
- Batch-transcribe multiple audio files with a single command
Install
$ openclaw skills install @steipete/openai-whisperWhisper (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/whisperon first run. --modeldefaults toturboon this install.- Use smaller models for speed, larger for accuracy.
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