Audio
whisper.cpp
Port of OpenAI's Whisper model in C/C++
★ 54,1 k étoilesMIT
Voir le guide →transcribe.cpp est un projet de audio open source, créé par handy-computer (handy-computer/transcribe.cpp sur GitHub). Il compte 1 982 étoiles sur GitHub et 112 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 4 octobre 2026.
Fast local speech-to-text across 16+ model families, powered by ggml.
Choose one of the 16+ supported speech model families and grab its weights.
Compile the C++ code or use a prebuilt binary for your platform.
Feed it a file or a live stream and get text back in seconds.
Pipe transcripts into notes, subtitles, or your own pipeline.
Runs ggml speech-to-text inference across a wide range of model families.
Audio never leaves your machine; no cloud account or key needed.
Native performance makes transcription fast even on modest CPUs.
Compact model files that are easy to download and swap.
Permissive license that suits open and commercial projects alike.
Designed for both file transcription and low-latency streams.
Download the source and move into the project folder.
git clone https://github.com/handy-computer/transcribe.cpp.git
cd transcribe.cppEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at handy-computer/transcribe.cpp with 112 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — commercial use allowed with attribution.
It supports 16+ speech-to-text model families via ggml/GGUF weights; check the README for the current list.
A GPU helps, but ggml is built for CPU efficiency, so many models run fine on a regular laptop.
The headline difference is breadth: it aims to cover many model families, not just one.
Port of OpenAI's Whisper model in C/C++
Faster Whisper transcription with CTranslate2
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.