IMS-Toucan is an open-source text-to-speech toolkit with 2,200+ stars on GitHub that synthesizes controllable, fast speech in over 7,000 languages — the official home of the massively multilingual ToucanTTS system from the University of Stuttgart.
Most TTS systems cover a handful of major languages and leave the rest of the world silent. IMS-Toucan, developed at the Institute for Natural Language Processing (IMS) at the University of Stuttgart, takes the opposite approach: a single toolkit for training, using and teaching state-of-the-art text-to-speech that scales to more than 7,000 languages by sharing what languages have in common phonetically. The system is built to be fast and controllable while demanding modest compute, which matters when you are synthesizing low-resource languages on ordinary hardware. A free interactive demo of the massively multilingual model runs on Hugging Face Spaces, so anyone can hear the coverage before installing anything. The toolkit is also used in teaching, with materials for learning how modern TTS pipelines work from the inside. It is actively maintained, with updates in 2026, and everything — code and models — is free.
IMS-Toucan is completely free and open source under the Apache License 2.0 — the maintainers emphasize that code and models are free, with support only through GitHub Sponsors. There is no paid tier or commercial license.
Speech researchers, linguists, accessibility builders and developers who need TTS in low-resource or long-tail languages, or who want a complete, inspectable modern TTS training toolkit.