Audio
Faster-Whisper-XXL-GUI
Faster-Whisper-XXL-GUI — gui for faster‑whisper‑xxl transcription tool: download, open-...
★ 129 starsGPL-3.0
View guide →Self-hostable AI-driven transcription platform with speaker diarization.
OpenTranscribe is an open-source audio project by attevon-llc (attevon-llc/OpenTranscribe on GitHub). It has 98 GitHub stars and 24 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 4 October 2026.
The README documents setup; start with the install section.
Decide what you want OpenTranscribe to do first — self-hostable AI-driven transcription platform with speaker diarizatio.
Pull the latest changes to stay current with fixes.
Change the config to match your workflow, then run it daily.
Working audio processing support built in.
Ships as a ready container.
Working fastapi support built in.
Runs faster on a graphics card.
Readable code that is easy to modify.
Free to use; network services stay open.
Download the source and move into the project folder.
git clone https://github.com/attevon-llc/OpenTranscribe.git
cd opentranscribeInstall 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, but note the copyleft: it is AGPL-3.0 licensed, so distributed derivatives must stay open.
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 AGPL-3.0. Read the LICENSE file in the repo for the exact terms.
Yes, but note the copyleft: it is AGPL-3.0 licensed, so distributed derivatives must stay open.
Faster-Whisper-XXL-GUI — gui for faster‑whisper‑xxl transcription tool: download, open-...
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
リアルタイムボイスチェンジャー Realtime Voice Changer
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Fully local transcription with diarization, for every desktop OS.
Local-first voice AI runtime: transcription, diarization, TTS, cloning.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if OpenTranscribe is not the right fit.
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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
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Free and open — grab the source, star the repo, and start creating.