Audio
whisper.api
A ready API for speech-to-text with per-user access control.
★ 914 starsMIT
View guide →Free, open source, 100% offline AI dictation for Windows & macOS.
whisper-local is an open-source audio project by drajb (drajb/whisper-local on GitHub). It has 89 GitHub stars and 24 forks, is released under the MIT license, and was last updated on GitHub on 29 September 2026.
The README documents setup; start with the install section.
Decide what you want whisper-local to do first — free, open source, 100% offline AI dictation for Windows & macOS. Wisp.
Pull the latest changes to stay current with fixes.
Change the config to match your workflow, then run it daily.
Working accessibility support built in.
Working ai dictation support built in.
Type by speaking anywhere.
Working faster whisper support built in.
Readable code that is easy to modify.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/drajb/whisper-local.git
cd whisper-localInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
Start with the README, then the issue tracker on the GitHub repo at drajb/whisper-local, where maintainers and users answer questions.
A ready API for speech-to-text with per-user access control.
Fast local speech-to-text across 16+ model families, powered by ggml.
Local-first voice AI runtime: transcription, diarization, TTS, cloning.
Free offline Whisper dictation for Windows, macOS, and Linux.
Free, open source, 100% offline AI text-to-speech for macOS, Windows & Linux.
Free and open source offline voice dictation for Windows, Linux, and macOS.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if whisper-local is not the right fit.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Free and open — grab the source, star the repo, and start creating.