LibreAI / Audio / edge-tts
// audio · rany2/edge-tts

edge-tts

edge-tts is an open-source audio project by rany2 (rany2/edge-tts on GitHub). It has 12,158 GitHub stars and 1,131 forks, is released under the Custom license, and was last updated on GitHub on 22 March 2026.

Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key

★ 12.2k stars⑂ 1.1k forksCustomupdated 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

Repository
rany2/edge-tts
GitHub stars
12,158
Forks
1,131
License
Custom
Last updated on GitHub
22 March 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

Speech synthesis

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

Multilingual

Dozens of languages supported, not just English.

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.

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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/rany2/edge-tts.git
    cd edge-tts
  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

  • Transcribe meetings, lectures, and interviews.
  • Generate voiceovers without a studio.
  • Clone voices for dubbing and accessibility.
  • Clean up and edit recordings.
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// faq

Questions, answered

Who maintains edge-tts?

It is an open-source project at rany2/edge-tts with 1,131 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is edge-tts free for commercial use?

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

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.

Can I use the voices commercially?

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

// keep exploring

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// alternatives

Alternatives in Audio

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

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  • GPT-SoVITS★ 62.3k

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  • Real-Time-Voice-Cloning★ 60.2k

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  • whisper.cpp★ 54.1k

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// more in audio

More in Audio

Nearby Audio projects in the catalogue, closest in stars to edge-tts — keep exploring the shelf either side of it.

  • PaddleSpeech★ 12.7k

    Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text…

  • speechbrain★ 11.9k

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  • voice-pro★ 13.0k

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  • Moshi★ 11.4k

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  • Qwen3-TTS★ 13.6k

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  • xiaozhi-esp32-server★ 10.8k

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Get edge-tts

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