
Description
whisper is an agent skill from the davila7 claude-code-templates collection, listed on skills.sh. It is a guide to Whisper, OpenAI's general-purpose multilingual speech recognition model. The skill covers speech-to-text transcription in 99 languages, translation to English, language identification, and transcription of noisy audio. The page lists uses such as podcast and video transcription, automated meeting notes, translation of foreign-language recordings and processing of multilingual audio. It also gives the model's own figures: a training set of 680,000 hours of audio, the 99 supported languages, and an MIT licence for the project. The listing mentions six model sizes, which let the user trade accuracy against speed and memory. The skill is for people who need text from recordings, such as journalists, researchers, students and teams that record meetings, and who want an agent to run the transcription for them with a model they control.…
Highlights
- Transcription in 99 languages
- Translation to English
- Language identification
- Six model sizes
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whisper FAQ
What does the whisper skill do?
It guides speech-to-text transcription with OpenAI's Whisper model, including translation to English and language identification.
How do I install it?
Run: npx skills add https://github.com/davila7/claude-code-templates --skill whisper
How many languages are supported?
99, according to the skill's page.
What license is Whisper under?
The page says MIT License.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best whisper alternatives?
Popular alternatives to whisper include implement, brand-guidelines and canvas-design. See all whisper alternatives





