Text-to-speech (TTS) technology is evolving at lightning speed, and KittenTTS stands out as a Ultra-lightweight (25MB!), fast, high-quality, and easy-to-run TTS model. But while researchers and developers love playing with models in notebooks or scripts, most people want to hear the results—quickly, and with minimal setup.
That’s why I built a Gradio web app for KittenTTS, making it dead simple to try out the model in your browser and integrate it into your projects via an API.
Sample audio generated by KittenTTS
What is KittenTTS?
KittenTTS is an open-source realistic text-to-speech model with just 15 million parameters, designed for lightweight deployment and high-quality voice synthesis.
Key features:
- Ultra-lightweight: Model size less than 25MB
- CPU-optimized: Runs without GPU on any device
- High-quality voices: Several premium voice options available
- Fast inference: Optimized for real-time speech synthesis
What’s New in My Fork
My fork of the main KittenTTS repository focuses on improving accessibility and usability for both casual users and developers. PR already submitted to KittenTTS repo.
Here’s what I added:
Gradio Web Interface
- Intuitive text input and audio playback directly in the browser
- Adjustable settings (speaker ID, language, etc.)
- Clean UI for quick testing and demos
- Runs locally or can be deployed via services like Hugging Face Spaces
API Usage
For developers, I included examples of how to interact with the model programmatically. Whether you want to call the TTS engine from a Python script or use it as part of a web backend, you’ll find ready-to-run snippets.
Easy Local Testing
- One-command setup to start the Gradio server
- No need to dive into configs or audio backends
- Perfect for showcasing or experimenting with different voices and languages
Use Cases
- Voice app prototyping – Plug into chatbots or virtual assistants
- Accessibility tools – Instantly give your UI a voice
- Creative media – Generate custom narrations or audio clips
- Research demos – Share your TTS experiments with colleagues or the public
How to Get Started
- Clone and setup:
git clone https://github.com/akashjss/KittenTTS.git
cd KittenTTS
python -m venv venv
source venv/bin/activate
# On Windows:
venv\Scripts\activate
- Install dependencies:
pip install -e .
pip install gradio
# To use the TTS via Gradio API
pip install gradio_client
- Launch the webapp:
python gradio_app.py
The app will auto launch in your browser.
Final Thoughts
This Gradio app will lower the barrier to entry for using advanced TTS models like KittenTTS. Whether you’re a developer looking to integrate speech into your application or just curious about neural voice synthesis, this tool lets you explore it with zero fuss.
If you find it useful or want to contribute, feel free to ⭐ the repo or submit a pull request!
🔗 GitHub – KittenTTS with Gradio Web App
Akash Gupta
Senior VoIP Engineer and AI Enthusiast

AI and VoIP Blog
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