Openai Whisper
- 8 installs
- 33 repo stars
- Updated April 26, 2026
- bighardperson/computer-science-skills-collection
This is a copy of openai-whisper by steipete - installs and ranking accrue to the original listing.
openai-whisper is a Claude skill that transcribes audio to text locally using the Whisper CLI without an API key.
About
openai-whisper is a skill that transcribes audio locally using the Whisper CLI, with no API key required. It supports transcription and a translate task, multiple output formats such as txt and srt, and selectable model sizes that trade speed against accuracy. A developer uses it to turn audio files into text or subtitles on their own machine.
- Transcribes audio locally with the Whisper CLI (no API key)
- Supports transcription and translate tasks with txt and srt output formats
- Selectable model sizes trading speed for accuracy
Openai Whisper by the numbers
- 8 all-time installs (skills.sh)
- Data as of Jul 30, 2026 (Skillselion catalog sync)
openai-whisper capabilities & compatibility
Free; runs the Whisper CLI locally with no API key, models download to ~/.cache/whisper.
- Capabilities
- transcription · audio translation
- Use cases
- transcription · translation
- Runs
- Runs locally
- Pricing
- Free
What openai-whisper says it does
Local speech-to-text with the Whisper CLI (no API key).
Models download to `~/.cache/whisper` on first run.
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| Installs | 8 |
|---|---|
| repo stars | ★ 33 |
| Last updated | April 26, 2026 |
| Repository | bighardperson/computer-science-skills-collection ↗ |
What it does
Transcribe or translate audio locally to text/subtitles using the Whisper CLI.
Who is it for?
Local, offline audio transcription and translation to text or subtitles without an API key.
Skip if: Cloud-hosted transcription; this runs the Whisper CLI locally and downloads models on first run.
When should I use this skill?
You need to transcribe or translate an audio file to text or subtitles locally.
What you get
A local transcript or subtitle file (txt/srt) produced from an audio input by the Whisper CLI.
- Transcript (txt)
- Subtitles (srt)
By the numbers
- default model 'turbo'
Files
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/whisperon first run. --modeldefaults toturboon this install.- Use smaller models for speed, larger for accuracy.
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"slug": "openai-whisper",
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Does it need an API key?
No. It runs the Whisper CLI locally with no API key.
How do I choose a model?
Use smaller models for speed and larger models for accuracy; --model defaults to turbo on this install.