TTS

TTS

Text-to-Speech

coqui-ai/TTS

46.2K6.2KPythonMPL-2.0

An open-source Python toolkit that turns text into speech, supporting many languages, multiple speakers, and voice cloning from just a few seconds of audio.

🗣️ Text-to-Speech🏷️ Podcast Audio🎬 Video Generation
TTS preview
Preview card generated by GitHub from the repository. Star counts on the card may lag behind the figures above.
Tool Info
Type🐙 Open Source
Stars46.2K
Forks6.2K
LanguagePython
LicenseMPL-2.0
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Repository: https://github.com/coqui-ai/TTS

What this library is: An open-source Python toolkit that turns text into speech, supporting many languages, multiple speakers, and voice cloning from just a few seconds of audio.

Installation given by the official docs:
whatever the README prescribes

Verify the integration with:
whatever minimal example the README gives

Prerequisites and caveats: nothing unusual — check the README

Requirements:
1. Read the README and official docs first — confirm the package manager and version requirements, and check whether the commands above still apply. Don't guess the package name.
   If it turns out not to be a library (but a runnable app, a dataset or a template), tell me first and handle it that way.
2. Tell me the required runtime version and peer dependencies before touching my package.json / requirements.txt.
3. After installing as described above, write a minimal working example and paste the real output, so we know the integration works.
4. Don't bump unrelated dependencies in my project; if an upgrade is required, explain the impact and ask first.
5. Finally tell me: the package name, two or three lines of typical usage, and how to remove it.

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