IndexTTS is an industrial-grade text-to-speech system by Bilibili that delivers high-quality voice synthesis with zero-shot voice cloning, multilingual support, and emotion control capabilities.

IndexTTS is an industrial-grade text-to-speech system developed by Bilibili, offering zero-shot voice cloning, multilingual support, and emotion control capabilities.
Replicate any speaker's voice characteristics using just a short reference audio clip without additional training
Advanced pinyin-based correction system that handles polyphonic characters, rare words, and pronunciation nuances perfectly
Seamlessly synthesize speech in multiple languages including Chinese and English with natural code-switching
Control emotional tones in synthesized speech to create more expressive and natural-sounding audio
Integrated BigVGAN2 vocoder ensures superior audio quality with high speaker similarity (MOS: 4.01)
Precisely control speech rhythm and pauses through punctuation marks for natural-sounding delivery
Follow these simple steps to generate high-quality speech from your text
Enter or paste the text you want to convert to speech. Use proper punctuation and add pronunciation hints if needed.
For voice cloning, upload a 5-10 second clear audio sample of the target voice. Skip this step to use default voices.
Choose your primary language (Chinese/English) and select an emotion tag if you want expressive speech.
Click generate to create your audio. Preview the result and download the audio file when satisfied.
The quality of generated speech depends on input text clarity and reference audio quality (for voice cloning). For best results, use well-formatted text with natural punctuation.
Discover how IndexTTS can transform your audio content creation workflow
Generate natural voiceovers for videos, podcasts, and educational content without recording equipment
Convert books and articles into engaging audiobooks with consistent voice quality and emotional expression
Create pronunciation examples and listening materials for language education with native-like quality
Make written content accessible through high-quality text-to-speech conversion for visually impaired users
Preserve and replicate voices for personalized AI assistants, virtual characters, or memorial purposes
Create multilingual content with natural-sounding voices in different languages for global audiences
Find answers to common questions about IndexTTS
IndexTTS primarily supports Chinese and English, with excellent performance in both languages. It also handles Chinese-English code-switching naturally, making it ideal for bilingual content.
A 5-10 second clear audio clip is optimal for voice cloning. The audio should have minimal background noise and clearly represent the speaker's voice characteristics.
IndexTTS is an open-source system. Please review the license terms and ensure you have proper rights to any reference audio you use for voice cloning.
IndexTTS offers industrial-grade quality with zero-shot voice cloning, advanced pronunciation correction for Chinese text, emotion control, and high speaker similarity (0.776) with excellent audio quality (MOS: 4.01).
IndexTTS achieves a Word Error Rate (WER) of just 1.3%, indicating very high pronunciation accuracy. For Chinese text, you can further improve accuracy using pinyin corrections.
IndexTTS generates high-quality audio output using the BigVGAN2 vocoder, typically in WAV format with excellent clarity and naturalness.
Yes, you can control pauses through punctuation marks, and IndexTTS2 supports emotion control through emotion tags to make speech more expressive.
While IndexTTS can handle various text lengths, very long texts are best processed in smaller chunks for optimal quality and processing efficiency.
Start using IndexTTS today to transform your text into high-quality, natural-sounding speech with advanced voice cloning capabilities
IndexTTS is trained on 25,000 hours of Chinese audio and 9,000 hours of English audio, ensuring professional-grade quality for your projects
Explore more AI models from the same provider