LibreAI / Audio / buzz
// audio · chidiwilliams/buzz

buzz

Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.

★ 21.8k stars⑂ 1.6k forksMITupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

buzz is an open-source audio project by chidiwilliams (chidiwilliams/buzz on GitHub). It has 21,815 GitHub stars and 1,614 forks, is released under the MIT license, and was last updated on GitHub on 2 October 2026.

GitHub stars
21,815
Forks
1,614
License
MIT
Last updated on GitHub
2 October 2026
Category
Audio
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Pick the job

    Transcription, synthesis, voice changing, or editing — each tool here majors in one.

  2. Install and set up

    Binaries, pip packages, or Docker; models download on first run for AI tools.

  3. Feed it audio or text

    Drop in a recording or type what you want spoken.

  4. Export the result

    WAV/MP3/OGG outputs drop straight into editors or apps.

// features

Why people love it

Real-time options

Streaming transcription and TTS for live applications.

Diarization

Tell speakers apart in meetings and interviews automatically.

Voice cloning

Clone a voice from a short sample for narration and dubbing.

State-of-the-art models

Whisper-grade transcription and natural neural voices, free.

Offline capable

Many run fully on-device — nothing you say leaves the machine.

Free for products

Open licenses let you ship voice features without per-minute API bills.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/chidiwilliams/buzz.git
    cd buzz
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains buzz?

It is an open-source project at chidiwilliams/buzz with 1,614 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is buzz free for commercial use?

MIT licensed — use it commercially, no strings attached.

Does it work offline?

Most of these run fully offline after the model download.

Can I use the voices commercially?

Check each license — many allow it, but voice-cloning has ethical and legal boundaries.

How accurate is the transcription?

Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.

// keep exploring

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// alternatives

Alternatives in Audio

The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if buzz is not the right fit.

Get buzz

Free and open — grab the source, star the repo, and start creating.