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whisper

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.

3,579stars289forksUpdated 2/18/2026

Security Assessment

Low Risk(80/100)

Detected risks:

Privilege Escalation([SKILL.md] sudo)
Security Score80/100

About whisper

The Whisper skill is OpenAI's advanced general-purpose speech recognition model, designed to provide high-accuracy transcription, translation, and language identification services. With support for 99 languages, it can transcribe and translate audio files with remarkable precision. It is particularly useful for handling speech-to-text tasks involving podcasts, meetings, or noisy environments, where high-quality, multilingual audio processing is crucial. Whisper solves the problem of understanding and transcribing speech from various languages, making it accessible and reliable for a wide range of applications in both professional and casual settings.

FAQ

What languages does Whisper support?

Whisper supports 99 languages, including popular ones like English, Spanish, French, German, Italian, Portuguese, Russian, Japanese, Korean, Chinese, and many more.

Can Whisper transcribe audio in languages other than English?

Yes, Whisper supports multilingual transcription and can transcribe audio in any of the 99 supported languages.

What are the system requirements to use Whisper?

Whisper requires Python 3.8 to 3.11 and the installation of dependencies like openai-whisper, transformers, and torch. It also requires ffmpeg for audio processing.

What is the recommended model size for the best performance?

The 'turbo' model is recommended for the best speed and quality balance, while the 'base' model is ideal for prototyping.

Can Whisper handle noisy audio?

Yes, Whisper is designed to transcribe audio in noisy environments, making it suitable for various real-world use cases.

Install whisper

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill