Coqui TTS

Coqui AI – the company – went out of business in early 2024. That, first and foremost, is how you need to understand Coqui TTS in 2026. While the startup dissolved, the open-source repository they had – coqui-ai/TTS on GitHub – has gained over 44,500 stars, a very active community of contributors, and continuous bug fix submissions from community members. It's not the company-supported project it once was, and it is, in fact, community-maintained – without a funded team standing behind the project. What it has done is genuinely remarkable for a completely free option: The XTTS model works across over 16 different languages, producing voice clones of any voice from even as short an audio sample as a few seconds of speech! Send it a few seconds after someone speaks; get a new voice. The quality is a bit lower than EleventhLabs’ Professional, but it's significantly higher than most free/budget consumer tools. It is important to note that you will need to be familiar with Python, comfortable working with a command-line interface (CLI), and have some way to configure a GPU or CPU for it to work locally; the company no longer offers a managed service of any kind (though community wrappers exist, they are not official or supported). Coqui TTS XTTS is undoubtedly the best open-source option on the market today for indie game developers, ML researchers and technically minded content creators of all kinds who are willing to use free, unrestricted voice cloning on their own hardware (with no API fees and no subscription) – but it is the absolute wrong tool if you need any sort of managed hosted service.

• Category: Voice Cloning
• Pricing: Free
• Rating: 4 / 5 (0 reviews)
• Platforms: Windows, macOS, Linux

Key features

• XTTS model — Multilingual zero-shot voice cloning across 16 plus languages from a short audio reference sample
• Open-source MIT licence — Free to use modify and deploy commercially with no licensing fees or usage caps
• Self-hosted deployment — Run entirely on your own hardware with no API calls no subscription and no data sent to external servers
• 44500 plus GitHub stars — Extensive community adoption reflecting real-world developer use and confidence in the model
• Community maintenance — Active bug fix submissions and community contributions despite the founding company ceasing operations
• 16 plus language support — Cross-lingual cloning that transfers a voice identity across languages without separate per-language training
• Zero-shot cloning — Generates speech in a target voice from a reference audio sample without fine-tuning or extended training
• Python API — Full programmatic control over generation parameters for custom integration into applications and pipelines

Pros & Cons

Pros

• Completely free with no usage caps subscription or API cost making it viable for unlimited generation on self-hosted hardware
• MIT licence allows commercial use modification and redistribution without licensing restrictions
• Self-hosted deployment means no voice data leaves your infrastructure which is the strongest possible privacy model
• XTTS quality is meaningfully above most budget consumer tools and competitive for game NPC dialogue and accessibility applications
• Active community with 44500 plus stars ensures the project is not abandoned even without a funded company behind it

Cons

• Requires Python knowledge command-line familiarity and GPU or CPU configuration — not accessible to non-technical users
• No official hosted web interface — running Coqui requires local installation which adds significant setup time compared to commercial tools
• Community maintenance without funded team means bug fixes and improvements depend on volunteer contributions with no support SLA
• Quality ceiling is below ElevenLabs Professional Voice Cloning for production media where high fidelity to the original speaker is essential

Visit Coqui TTS