Skip to content
local-ai

faster-whisper

Voice & audio Intermediate Open source Free

A faster reimplementation of OpenAI Whisper using the CTranslate2 engine, the common way to run Whisper efficiently for local transcription.

Strengths

  • Up to about 4x faster than the reference Whisper at the same accuracy, using less memory
  • Supports 8-bit quantisation on both CPU and GPU
  • Compatible with the original and fine-tuned Whisper models

Weaknesses

  • The GPU path needs specific NVIDIA libraries (CUDA, cuBLAS, cuDNN)
  • A Python library rather than an app, so it needs setup
  • Output is a generator, which trips up newcomers

At a glance

Licence
MIT
Pricing
Free
Platforms
macOS, Windows, Linux, Docker
GPU required
No

Links

Works with

Related guides

See also

Glossary

Entry last verified 18 August 2026.