About
XTTS v2 (Cross-language Text-to-Speech version 2) is a state-of-the-art voice generation model developed by Coqui AI and hosted on Hugging Face. It enables developers and researchers to clone voices into 17 different languages using just a 6-second audio sample — no hours of training data required. The model supports English, Spanish, French, German, Italian, Portuguese, Polish, Turkish, Russian, Dutch, Czech, Arabic, Chinese, Japanese, Hungarian, Korean, and Hindi. Building on XTTS v1, version 2 introduces two additional languages (Hungarian and Korean), architectural improvements for speaker conditioning, multi-speaker reference support and interpolation between speakers, and broad stability and prosody enhancements. Audio is generated at 24kHz, delivering clear, natural-sounding output. XTTS v2 is accessible via the Coqui TTS Python library, the command-line interface, or direct model integration. Developers can use it for inference or fine-tuning on custom datasets. Interactive demos are available on Hugging Face Spaces, including a voice-chat demo with Mistral 7B and Zephyr 7B. Ideal for developers building voice assistants, content creators producing multilingual media, accessibility tool makers, and AI researchers exploring voice synthesis, XTTS v2 stands out for its minimal data requirement, broad language coverage, and high audio fidelity. The model is licensed under the Coqui Public Model License.
Key Features
- 6-Second Voice Cloning: Clone any speaker's voice using just a 6-second reference audio clip — no large training datasets required.
- 17-Language Support: Generate speech in 17 languages including English, Spanish, French, Arabic, Chinese, Japanese, Korean, Hindi, and more.
- Cross-Language Voice Transfer: Clone a voice in one language and generate speech in a completely different language while preserving the speaker's identity.
- Emotion and Style Transfer: Capture and replicate the emotion and speaking style of the reference speaker across generated audio.
- 24kHz High-Quality Audio Output: Produces high-fidelity 24kHz audio, ensuring clear and natural-sounding speech synthesis.
Use Cases
- Developers building multilingual voice assistants or conversational AI products needing fast voice cloning without large datasets.
- Content creators and audiobook producers who want to generate consistent voice narration across multiple languages from a single speaker reference.
- Game studios and animation teams generating custom character voices from short reference recordings for diverse language markets.
- Accessibility tool developers creating personalized text-to-speech experiences that preserve a user's own voice characteristics.
- AI researchers experimenting with voice synthesis, speaker adaptation, and cross-lingual transfer learning using an open-weight model.
Pros
- Minimal Reference Audio Required: Only 6 seconds of audio are needed to clone a voice, making it extremely accessible compared to traditional TTS fine-tuning pipelines.
- Broad Multilingual Coverage: Supports 17 languages out of the box with cross-language cloning, making it suitable for global applications.
- Free and Open Source: Freely available on Hugging Face with full model weights, inference code, and fine-tuning support under the Coqui Public Model License.
- Active Community and Ecosystem: Backed by 100+ Hugging Face Spaces, 66+ fine-tuned variants, and an active Discord and GitHub community for support and contributions.
Cons
- Non-Standard License: The Coqui Public Model License is not a fully permissive open-source license and may restrict certain commercial or derivative uses.
- Requires Technical Setup: Integration requires Python, the Coqui TTS library, and familiarity with command-line or API usage — not suitable for non-technical users without a wrapper.
- GPU Recommended for Performance: Real-time or near-real-time inference requires a CUDA-compatible GPU; CPU-only inference is significantly slower.
Frequently Asked Questions
How much audio do I need to clone a voice with XTTS v2?
XTTS v2 only requires a 6-second audio clip of the target speaker to perform voice cloning — no lengthy training or large datasets are needed.
What languages does XTTS v2 support?
XTTS v2 supports 17 languages: English, Spanish, French, German, Italian, Portuguese, Polish, Turkish, Russian, Dutch, Czech, Arabic, Chinese (Mandarin), Japanese, Hungarian, Korean, and Hindi.
Is XTTS v2 free to use?
Yes, XTTS v2 is freely available on Hugging Face. However, it is licensed under the Coqui Public Model License, which may impose restrictions on commercial use — review the license before deploying in production.
Can I fine-tune XTTS v2 on my own data?
Yes, the XTTS v2 codebase supports both inference and fine-tuning via the Coqui TTS library, allowing you to adapt the model to custom voices or domains.
What's new in XTTS v2 compared to v1?
XTTS v2 adds two new languages (Hungarian and Korean), architectural improvements for better speaker conditioning, support for multiple speaker references and speaker interpolation, improved stability, and better overall prosody and audio quality.
