Top Open Source TTS Engines
| Engine | License | Size | Voices | Best For |
|---|---|---|---|---|
| Kitten TTS | Apache 2.0 | 15-80M | 8 built-in | Lightweight, CPU, edge |
| Coqui XTTS | CPML | ~500M | Cloning | Voice cloning, multilingual |
| Suno Bark | MIT | ~1B | Multi | Expressive, non-verbal sounds |
| Fish Audio | Apache 2.0 | ~100M | Cloning | Zero-shot cloning |
| OpenVoice | MIT | ~100M | Cloning | Style transfer |
Why Choose Open Source?
- No API costs: Unlimited generation without per-character fees
- Privacy: Data stays on your machine
- Customization: Fine-tune models for your specific needs
- Offline: No internet dependency for production
Kitten TTS Advantages
Smallest footprint: Kitten TTS is 6-60x smaller than competitors. The nano-int8 model is just 25 MB. Perfect for edge devices and low-resource environments.
Quick Comparison Code
# Kitten TTS -- simplest setup
from kittentts import KittenTTS
model = KittenTTS("KittenML/kitten-tts-mini-0.8")
model.generate_to_file("Hello world", "output.wav", voice="Jasper")