LibreAI / Audio / MockingBird
// audio · babysor/MockingBird

MockingBird

🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time

★ 36.9k stars⑂ 5.2k forksUnknownupdated 2026-03
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

MockingBird is an open-source audio project by babysor (babysor/MockingBird on GitHub). It has 36,900 GitHub stars and 5,173 forks, is released under the Unknown license, and was last updated on GitHub on 3 March 2026.

GitHub stars
36,900
Forks
5,173
License
Unknown
Last updated on GitHub
3 March 2026
Category
Audio
Listing
Full install guide
Official site
GitHub repo
// 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

Deep learning inside

Neural models do the heavy lifting behind a simple interface.

Speech synthesis

High-quality text-to-speech voices built in.

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.

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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/babysor/MockingBird.git
    cd MockingBird
  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 MockingBird?

It is an open-source project at babysor/MockingBird with 5,173 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is MockingBird free for commercial use?

Licensed under Unknown — check the repo for commercial-use terms.

How accurate is the transcription?

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

Which languages are supported?

Dozens; English is strongest, major world languages are solid.

Does it work offline?

Most of these run fully offline after the model download.

// keep exploring

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// alternatives

Alternatives in Audio

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

Get MockingBird

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