New: Kitten TTS v0.8 is out -- 15M, 40M, and 80M parameter models now available.

Kitten TTS is an open-source, lightweight text-to-speech library built on ONNX. With models ranging from 15M to 80M parameters (25-80 MB on disk), it delivers high-quality voice synthesis on CPU without requiring a GPU.

Status: Developer preview -- APIs may change between releases.

Commercial support is available. For integration assistance, custom voices, or enterprise licensing, contact us.

• Features
• Available Models
• Demo
• Quick Start
• API Reference
• System Requirements
• Roadmap
• Commercial Support
• Community and Support
• License

• Ultra-lightweight -- Model sizes from 25 MB (int8) to 80 MB, suitable for edge deployment
• CPU-optimized -- ONNX-based inference runs efficiently without a GPU
• 8 built-in voices -- Bella, Jasper, Luna, Bruno, Rosie, Hugo, Kiki, and Leo
• Adjustable speech speed -- Control playback rate via the speed parameter
• Text preprocessing -- Built-in pipeline handles numbers, currencies, units, and more
• 24 kHz output -- High-quality audio at a standard sample rate

Note: Some users have reported issues with the kitten-tts-nano-0.8-int8 model. If you encounter problems, please open an issue.

Try Kitten TTS directly in your browser on Hugging Face Spaces.

• Python 3.8 or later
• pip

pip install https://github.com/KittenML/KittenTTS/releases/download/0.8.1/kittentts-0.8.1-py3-none-any.whl

from kittentts import KittenTTS

model = KittenTTS("KittenML/kitten-tts-mini-0.8")
audio = model.generate("This high-quality TTS model runs without a GPU.", voice="Jasper")

import soundfile as sf
sf.write("output.wav", audio, 24000)

# Adjust speech speed (default: 1.0)
audio = model.generate("Hello, world.", voice="Luna", speed=1.2)

# Save directly to a file
model.generate_to_file("Hello, world.", "output.wav", voice="Bruno", speed=0.9)

# List available voices
print(model.available_voices)
# ['Bella', 'Jasper', 'Luna', 'Bruno', 'Rosie', 'Hugo', 'Kiki', 'Leo']

Load a model from Hugging Face Hub.

Synthesize speech from text, returning a NumPy array of audio samples at 24 kHz.

Synthesize speech and write directly to an audio file.

Returns a list of available voice names: ['Bella', 'Jasper', 'Luna', 'Bruno', 'Rosie', 'Hugo', 'Kiki', 'Leo']

• Operating system: Linux, macOS, or Windows
• Python: 3.8 or later
• Hardware: Runs on CPU; no GPU required
• Disk space: 25-80 MB depending on model variant

A virtual environment (conda, venv, or similar) is recommended to avoid dependency conflicts.

• Release optimized inference engine
• Release mobile SDK
• Release higher quality TTS models
• Release multilingual TTS
• Release KittenASR
• Need anything else? Let us know

We offer commercial support for teams integrating Kitten TTS into their products. This includes integration assistance, custom voice development, and enterprise licensing.

Contact us or email [email protected] to discuss your requirements.

• Discord: Join the community
• Website: kittenml.com
• Custom support: Request form
• Email: [email protected]
• Issues: GitHub Issues

This project is licensed under the Apache License 2.0.