Precise speech duration control, emotionally expressive generation, and disentanglement of emotional expression and speaker identity. Revolutionary text-to-speech technology.
Demonstrating precise speech duration control with emotional expression preservation
Precise timing adjustment
Natural emotional expression
No training required
Advanced capabilities that set IndexTTS apart
Explicit token count specification and autoregressive generation with prosodic reproduction.
Zero-shot emotion reproduction with support for angry, happy, calm, fear, and more emotions.
Independent control of speaker identity and emotional expression using different prompts.
Generate emotions using natural language descriptions with Qwen3 integration.
Outperforms existing models in word error rate, speaker similarity, and emotional fidelity.
Enhanced speech stability using advanced GPT latent representations and soft instruction mechanisms.
Experience the power of zero-shot voice synthesis
Simple API integration in just a few lines of code
# Install IndexTTS
pip install indextts
# Import and initialize
from indextts.infer import IndexTTS
tts = IndexTTS(
model_dir="checkpoints",
cfg_path="checkpoints/config.yaml"
)
# Generate speech
voice = "reference_voice.wav"
text = "Hello, this is IndexTTS speaking!"
output_path = "generated_speech.wav"
tts.infer(voice, text, output_path)Comprehensive guides and API reference
Open source code and examples
Discord and QQ groups for support
IndexTTS outperforms existing TTS systems
Supported emotions
Speed control range
Word error rate & speaker similarity
Latent representations