Coqui TTS is the popular open-source text-to-speech library with voice cloning, dozens of models and a research-friendly toolkit.
Coqui built open, production-grade speech technology: its TTS library ships with dozens of pre-trained models including XTTS, which does multilingual voice cloning from a few seconds of reference audio. The library covers training, fine-tuning and inference, and runs on consumer GPUs. Though the company behind it wound down, the open-source project continues with community forks, and it remains a default starting point for anyone building custom speech applications.
Coqui TTS is free and open source under the project’s license; costs come only from your own compute.
Developers, researchers and hobbyists who want self-hosted, customizable speech synthesis and voice cloning.
Indie game developers generate character voices locally, and researchers fine-tune models for low-resource languages. Makers build voice assistants with cloned voices that keep data on their own hardware.
Install the package from PyPI or GitHub, run inference with a pre-trained model and try XTTS voice cloning with a short reference sample.
Yes — entirely free and open source; check the license for your specific model choice.
It is a library; you can serve it yourself through your own API layer.
Versus ElevenLabs, Coqui is free and self-hosted but requires technical effort and trails slightly on voice quality.
Dozens of architectures ship in the model zoo, including XTTS for multilingual voice cloning.
The original company wound down, but community forks and contributors continue development; check the repository for current status.
XTTS clones from a few seconds of reference audio, producing recognizable voices across supported languages with minimal setup.
The project is open source under its published license; review the terms of the specific model you deploy for commercial use.
XTTS produces natural-sounding speech across languages and holds cloned voices recognizable; commercial leaders like ElevenLabs still edge ahead on polish and expressiveness.
Fine-tuning support makes Coqui a practical starting point for languages commercial providers under-serve, since you can train on your own data.
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