Voice & Speech
Coqui TTS
Open-source AI speech synthesis toolkit for voice generation.
Free
★★★★½
4.6
Text-to-Speech
Open Source
Voice Cloning
Speech Synthesis
AI Development
Machine Learning
Developer Tools
Multilingual Voices
About Coqui TTS
Coqui TTS is an open-source text-to-speech framework designed for developers and researchers. It enables users to generate realistic synthetic voices and build custom speech models. The platform supports multilingual speech synthesis, voice cloning, and model training. Developers can integrate advanced speech capabilities into applications using its APIs and tools. Coqui TTS is widely used in AI research, software development, and voice technology projects. Its open-source nature makes it highly customizable for specialized use cases.
Frequently Asked Questions
Is Coqui.ai still active in 2026?
The original company, Coqui AI, officially shut down in early 2024. However, the project was "reborn" through its massive open-source community. In 2026, the software is primarily maintained via the idiap/coqui-ai-TTS fork on GitHub and the coqui-tts package on PyPI, which receives regular monthly updates and bug fixes from independent developers.
What is the difference between coqui.ai and coquitts.com?
While coqui.ai was the original home of the project, coquitts.com has emerged as a community-facing landing page for documentation and review. For the most up-to-date code and technical implementation, developers should refer directly to the GitHub repositories or the ReadTheDocs documentation, as the original SaaS dashboard is no longer functional.
What are the key technical strengths of the 2026 version?
Coqui remains a leader in few-shot voice cloning. Its flagship model, XTTS-v2, can clone a human voice with 85–95% accuracy using just a 6-second audio sample. It supports over 17 primary languages for deep cloning and provides pre-trained models for over 1,100 languages, making it one of the most linguistically diverse open-source tools available.
Can I run Coqui TTS locally for privacy?
Yes. One of its greatest advantages in 2026 is its "Zero-Footprint" privacy. Because the engine can be deployed locally using Docker or Python, your voice data never leaves your machine. To achieve professional performance (sub-200ms latency), it is recommended to use a machine with at least 8GB of NVIDIA VRAM.
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