About
Coqui AI was a leading open-source text-to-speech (TTS) and voice cloning platform founded in 2021 by alumni of Mozilla's Common Voice and DeepSpeech teams. The company built and maintained one of the most widely adopted open-source TTS libraries, with dozens of pre-trained models available under the coqui-ai/TTS GitHub repository. The platform's flagship product, Coqui Studio, was a web-based voice production environment that let users generate speech, clone voices from short audio samples, and control AI voices with fine-grained parameters for emotion, pacing, and tone. Their most advanced model, XTTS (Cross-Lingual TTS), supported voice cloning across 17+ languages from as little as 3 seconds of reference audio — making it one of the most accessible and capable voice cloning tools ever released. Coqui AI attracted a large global community of developers building applications for audiobook narration, video game character dialogue, accessibility tools, dubbing workflows, and virtual assistants. Their open-source models were integrated into thousands of projects and third-party pipelines. Coqui AI announced its closure in January 2024. However, their open-source models and code remain available on GitHub and Hugging Face, continuing to power community-driven projects worldwide. For developers and creators seeking open-source voice AI, Coqui's models remain a highly capable and widely used foundation.
Key Features
- XTTS Cross-Lingual Voice Cloning: Clone any voice in 17+ languages from as little as 3 seconds of reference audio, with support for cross-lingual transfer so a cloned voice can speak in any supported language.
- Open-Source TTS Library: A comprehensive Python library with dozens of pre-trained TTS models on GitHub, enabling developers to integrate high-quality speech synthesis into any application without licensing fees.
- Coqui Studio (Web Interface): A web-based voice production environment offering fine-grained controls over emotion, pacing, and tone for generating professional-quality voice content without coding.
- Multi-Language Support: Support for 17+ languages with cross-lingual voice cloning capabilities, making it well-suited for international content creation and localization workflows.
- Large Community & Ecosystem: One of the most starred TTS projects on GitHub, with active community contributions, integrations, and downstream projects continuing even after company shutdown.
Use Cases
- Developers integrating open-source XTTS or other Coqui TTS models into applications requiring text-to-speech functionality
- Content creators producing audiobooks, podcasts, or narrated videos using cloned or synthetic voices without a recording studio
- Game studios generating character dialogue and voices at scale for interactive experiences
- Accessibility tool builders creating screen readers and assistive technologies that rely on natural-sounding synthetic speech
- Video producers and dubbing studios using cross-lingual voice cloning to localize content into multiple languages efficiently
Pros
- Powerful Open-Source Models Still Available: XTTS and other Coqui models remain freely accessible on GitHub and Hugging Face, continuing to power thousands of community and commercial projects.
- Fast Voice Cloning from Minimal Audio: Required only 3 seconds of reference audio to clone a voice, making it one of the most accessible and fastest voice cloning solutions available.
- Developer-Friendly with Strong Documentation: A well-documented Python library with a massive community made it easy to integrate TTS into custom applications, pipelines, and tools.
Cons
- Service Discontinued: Coqui AI shut down in January 2024, meaning Coqui Studio is no longer available and there is no ongoing commercial support, updates, or SLA.
- Self-Hosting Required for Continued Use: Ongoing use of Coqui's models requires self-hosting and technical configuration, which presents a barrier for non-technical users who relied on the hosted Studio.
Frequently Asked Questions
Is Coqui AI still available?
Coqui AI the company shut down in January 2024. However, their open-source models — including XTTS — remain freely available on GitHub (coqui-ai/TTS) and Hugging Face and continue to be used by the community.
What was Coqui AI used for?
Coqui AI was used for text-to-speech generation, voice cloning, audiobook narration, video game character voices, video dubbing, accessibility tools, and any application requiring realistic synthetic or cloned speech.
How many languages did Coqui AI support?
The XTTS model supported 17+ languages and enabled cross-lingual voice cloning, meaning a voice cloned in one language could be used to generate speech in another supported language.
How much audio was needed to clone a voice with Coqui AI?
Coqui's XTTS model could clone a voice from as little as 3 seconds of reference audio, making voice cloning fast and accessible even without long recordings.
Is Coqui AI open source?
Yes. Coqui AI's TTS library and models are open source and remain available on GitHub under permissive licenses. The coqui-ai/TTS repository is one of the most widely used TTS projects in the open-source community.
