TTS
Enrichment pending🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
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Trust & integrity
Full report- Maintenance
- Dormant (693d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Organization account
- As of today · Source: github_public_v1
- Security (OSV)
- 137 low (137 low)
- As of today · Source: osv@v1
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Overview
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 11, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 11, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
🐸TTS is tested on Ubuntu 18.04 with **python >= 3.9, < 3.12.**.Source link
Tags
README
Installation
🐸TTS is tested on Ubuntu 18.04 with python >= 3.9, < 3.12..
If you are only interested in synthesizing speech with the released 🐸TTS models, installing from PyPI is the easiest option.
pip install TTS
If you plan to code or train models, clone 🐸TTS and install it locally.
git clone https://github.com/coqui-ai/TTS
pip install -e .[all,dev,notebooks] # Select the relevant extras
If you are on Ubuntu (Debian), you can also run following commands for installation.
$ make system-deps # intended to be used on Ubuntu (Debian). Let us know if you have a different OS.
$ make install
If you are on Windows, 👑@GuyPaddock wrote installation instructions here.
Docker Image
You can also try TTS without install with the docker image. Simply run the following command and you will be able to run TTS without installing it.
docker run --rm -it -p 5002:5002 --entrypoint /bin/bash ghcr.io/coqui-ai/tts-cpu
python3 TTS/server/server.py --list_models #To get the list of available models
python3 TTS/server/server.py --model_name tts_models/en/vctk/vits # To start a server
You can then enjoy the TTS server here More details about the docker images (like GPU support) can be found here