Coqui TTS
coquitts.com
Turn text into natural speech, clone voices, and support many languages.
Description
Coqui TTS & XTTS V2: Free Text to Speech · Experience natural speech synthesis with Coqui TTS and XTTS V2 technology. Features voice cloning and support for 8 languages. · How It Works · Powerful Features for Natural Speech · Practical Applications and Use Cases · Frequently Asked Questions
Coqui TTS is a user-friendly free text-to-speech platform that turns your written words into natural-sounding speech. Simply type or paste your text, pick from various voices and languages, and create high-quality audio in seconds. Whether you need it for learning, creating content, or making your digital projects more accessible, Coqui TTS offers powerful voice features that anyone can use.
Features
Rapid Voice Cloning from Short Samples
Coqui TTS lets you copy voices from just 3-second audio samples. This amazing technology opens up many possibilities for creating personalized speech.
Custom Voice Creation and Design
With Coqui TTS, you can build and customize your ideal voices. This feature helps you create unique vocal characters tailored to exactly what you need.
Advanced Voice Control and Emotion Settings
Coqui TTS gives you detailed control over voice characteristics, including speed, emotions, and other voice qualities.
Use cases
AI Assistant Voice Enhancement
Coqui TTS helps create AI companions with natural voices, making smart home devices and digital assistants more pleasant to use.
Educational Content Narration
This free text-to-speech technology makes online learning more engaging by providing clear, natural narration for educational content.
Video Game Character Voicing
Game characters sound more realistic with Coqui TTS, creating deeper immersion and better storytelling in video games.
FAQ
Coqui TTS is an open-source, AI-powered text-to-speech (TTS) library that enables advanced voice synthesis. It supports over 1,100 languages and offers tools for training, fine-tuning, and deploying custom TTS models.
XTTS is Coqui’s flagship TTS model, known for its ability to generate high-quality, natural-sounding speech and perform rapid voice cloning from short audio samples (as little as 5–10 seconds). It supports multi-language synthesis and voice cloning.
XTTS can clone a voice from a short audio sample (as little as 5–10 seconds). The voice cloning process is language-independent, meaning you can clone a voice using a sample in one language and synthesize speech in another. Voice cloning is available for both personal and commercial use, depending on licensing.
Yes. XTTS can synthesize speech in multiple languages using a single voice clone. For example, you can provide a voice sample in German and generate speech in English, Chinese, Arabic, etc.
Yes. XTTS can handle foreign words and mixed-language sentences, though pronunciation accuracy depends on the speaker’s familiarity with the language and the quality of the training data.
You can install Coqui TTS via pip using `pip install TTS`. To run with default models, use `tts --text "Hello world" --out_path output.wav`. For advanced usage, refer to the Quick Start Guide and official documentation.
Coqui TTS supports WAV, MP3, and FLAC as input formats. The primary output format is WAV; for other formats, audio conversion tools should be used.
Yes, Coqui TTS provides tools for training new models from scratch, fine-tuning existing models with your own data, and curating and analyzing datasets.
A good TTS dataset requires high-quality audio recordings with clear and minimal background noise, accurate transcripts, diverse speech patterns and phonemes, and sufficient duration, typically several hours for robust models.
To choose the right model, consider the language, speaker count, and desired voice quality. You should use the model table in the documentation to match your needs, and for voice cloning, use XTTS.
To resolve errors with pre-trained models, ensure you are using the correct version of Coqui TTS for your model and check the model table for version compatibility. If issues persist, consult the GitHub Discussions or open an issue with detailed error information.
Yes, but licensing depends on the specific model and use case. Some models are free for commercial use, while others may have restrictions. Always check the license for your chosen model.
Specs
| Type | Agent |
| Section | Infrastructure & MLOps |
| Pricing | paid (от $9.9/mo) |
| Platform | API only |
| Systems | api, web |
| Hosting | cloud |
| Who for | Individual |
| Site language | en |
| Rating | 0.00 (0 reviews) |
| Views | 250 |
| Launched | 2025-05-20 |
