Audio
whisper-diarization
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
★ 5.7k starsBSD-2-Clause
View guide →Fully local transcription with diarization, for every desktop OS.
TranscriptionSuite is an open-source audio project by homelab-00 (homelab-00/TranscriptionSuite on GitHub). It has 759 GitHub stars and 75 forks, is released under the GPL-3.0 license, and was last updated on GitHub on 4 October 2026.
Download the build for Windows, macOS, or Linux.
Choose the engine that fits your hardware.
Drop in audio and get text with speaker labels.
Organize transcripts around your meeting schedule.
Several model engines to match your hardware.
Labels who said what in multi-person audio.
Organizes transcripts around meetings and events.
Private by design — audio never leaves the machine.
CUDA and MLX support for faster transcription.
Free and open with copyleft terms.
Download the source and move into the project folder.
git clone https://github.com/homelab-00/TranscriptionSuite.git
cd TranscriptionSuiteEvery 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 homelab-00/TranscriptionSuite with 75 forks. Check the repo's contributors and recent commits to see how active maintenance is.
GPL-3.0 licensed — free to use, but modified versions must also be GPL.
It identifies and labels different speakers in the transcript.
Windows, macOS, and Linux.
Yes — CUDA and Apple MLX acceleration are supported where available.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Faster Whisper transcription with CTranslate2
Local-first voice AI runtime: transcription, diarization, TTS, cloning.
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Self-hostable AI-driven transcription platform with speaker diarization.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if TranscriptionSuite 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
Port of OpenAI's Whisper model in C/C++
Free and open — grab the source, star the repo, and start creating.