IndexTTS-2 TTS
A zero-shot TTS model with fine-grained emotion control via emotion vectors, no emotion-specific training data required.
Wrap your text in SSML tags for precise control:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags the selected model understands — click to drop one into your text where it happens:
This model reads plain text, so inline tags are ignored. For tag-based emotion, switch to an expressive model like Orpheus or Bark.
Define custom pronunciations (word = pronunciation):
About IndexTTS-2
IndexTTS-2, from the Index Team, is an expressive text-to-speech system that pairs zero-shot voice synthesis with precise emotional control. Rather than relying on emotion-labeled training data, it uses emotion vectors to dial in tones like happy, sad, angry, or fearful independently of the voice itself. Built on a Qwen2 backbone with BigVGAN as the vocoder, it supports English and Chinese and can clone a voice from roughly five seconds of reference audio. It suits audiobooks, virtual assistants, and any content where the same voice needs to shift emotional register. Its weights use the Bilibili Model License, which permits commercial use below large usage and revenue thresholds.
Best for: Emotionally expressive content, audiobooks, virtual assistants
Browse all IndexTTS-2 voicesAt a glance
- Developer
- Index Team
- License
- Bilibili Model License
- Tier
- standard
- Speed
- medium
- Voice cloning
- Yes
- Languages
- English, Chinese
- Max characters
- 1000