Openai Whisper
- 17 installs
- 869 repo stars
- Updated June 8, 2026
- beita6969/scienceclaw
This is a copy of openai-whisper by steipete - installs and ranking accrue to the original listing.
OpenAI Whisper is a skill that transcribes audio to text locally with the Whisper command-line tool and no API key.
About
Uses the local Whisper CLI to transcribe audio files to text without an API key. A developer runs it to convert an mp3 or m4a into txt or srt output, choosing a model size to trade speed for accuracy. It can also translate speech to English using the translate task.
- Transcribes audio to text locally with the Whisper CLI
- No API key required; runs fully on the local machine
- Supports transcription and translation with selectable model sizes
Openai Whisper by the numbers
- 17 all-time installs (skills.sh)
- Data as of Aug 2, 2026 (Skillselion catalog sync)
openai-whisper capabilities & compatibility
Free; runs the local Whisper CLI, no API key
- Capabilities
- transcription · translation
- Use cases
- transcription
- Runs
- Runs locally
- Pricing
- Free
What openai-whisper says it does
Local speech-to-text with the Whisper CLI (no API key).
Use `whisper` to transcribe audio locally.
Models download to `~/.cache/whisper` on first run.
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| Installs | 17 |
|---|---|
| repo stars | ★ 869 |
| Last updated | June 8, 2026 |
| Repository | beita6969/scienceclaw ↗ |
What it does
Transcribe or translate audio files to text locally using the offline Whisper CLI.
Who is it for?
Local, offline speech-to-text transcription and translation of audio files
Skip if: Cloud transcription or real-time streaming; it runs the local Whisper CLI on files
When should I use this skill?
You need to transcribe or translate an audio file to text locally
What you get
A txt or srt transcript produced locally from an audio file.
- Text transcript (txt)
- Subtitle file (srt)
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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Does it need an API key?
No. It runs the local Whisper CLI with no API key.
What model does it default to?
The docs note --model defaults to turbo on this install; smaller models are faster, larger models more accurate.