Coqui TTS
A well-known end-to-end TTS framework offering XTTS multilingual voice cloning, model training and fine-tuning, with a rich community ecosystem.
Coqui TTS originated from the Mozilla TTS project, initially developed by the Mozilla open-source community to advance open speech synthesis through deep learning. In 2021, the core development team spun off from Mozilla to form Coqui AI, renaming the project to Coqui TTS and continuing its development and maintenance as open-source software. Coqui TTS quickly grew into one of the most comprehensive end-to-end open-source frameworks in the speech synthesis domain, providing implementations of numerous classic models including Tacotron2, Glow-TTS, and VITS, enabling researchers and developers to quickly reproduce, compare, and deploy various TTS architectures.
XTTS (Cross-lingual TTS) is Coqui TTS’s flagship feature and the project’s most celebrated capability. XTTS can perform voice cloning with extremely small amounts of target speaker audio (as little as 6 seconds) and supports cross-lingual synthesis — meaning a voice cloned from Chinese training data can fluently read English, Japanese, French, and over a dozen other languages. The multilingual voice cloning quality of XTTS is among the best in open-source solutions, particularly excelling in timbre fidelity and cross-lingual naturalness. It has been widely adopted for audiobook production, video dubbing, and virtual character voice customization.
As a complete training framework, Coqui TTS provides a full toolchain spanning data preprocessing, model training, fine-tuning, and model export. Developers can fine-tune pretrained models using their own datasets to adapt to specific speakers, accents, or domain-specific speaking styles. The framework also supports exporting trained models to ONNX or TensorFlow Lite formats for deployment on mobile, embedded, or web platforms.
⚠️ Maintenance Transition: Coqui AI ceased commercial operations in late 2023. Since then, community maintenance has moved to an active fork maintained by the Idiap Research Institute (github.com/idiap/coqui-ai-TTS), which continues to ship new releases (current 0.27.x), fix bugs, and improve cross-platform support. This fork is distributed under the same MPL-2.0 license, and its extensive model library and documentation remain an invaluable resource for TTS learning and research.