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faster-whisper

Python library for fast Whisper speech transcription on CPU or GPU

  • AI media
  • AI models and runtimes
View on GitHub

What it is

A reimplementation of OpenAI's Whisper speech recognition model on top of the CTranslate2 inference engine, cutting transcription time and memory use. It supports 8-bit quantization, batched transcription, language detection, segment timestamps, and Distil-Whisper checkpoints, and decodes audio without a system FFmpeg install. Developers building transcription, subtitling, or voice features into Python apps import it to run Whisper models locally.

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Facts

Stars
25,991 GitHub stars.
25,991

Forks
2,154
Commits
274
Contributors
51
Language
Python
License
MIT
Last commit
Oct 16, 2026
On GitHub since
February 2023
First release
March 2023
Platforms
macOS, Windows, Linux, library
Self-hostable
No
Alternative to
OpenAI API
Tags
  • speech-to-text
  • local-ai
  • model-optimization
  • gpu-computing

Last synced from GitHub on Oct 20, 2026

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