mozilla/TTS

Health v2 · maintenance only

Adoption not part of the score

10167 stars · 1322 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A deep learning library for advanced text-to-speech generation, built on PyTorch with models like Tacotron2, Glow-TTS, and various vocoders. It includes pretrained models, dataset analysis tools, and supports 20+ languages for products and research.

Use cases

• convert text to natural sounding speech
• train a custom text-to-speech model on my own voice dataset
• generate speech audio in multiple languages
• run a pretrained TTS model offline
• analyze the quality of a speech dataset before training
• build a voice assistant with custom speech synthesis
• clone a speaker voice for TTS

When to choose

• you need state-of-the-art TTS models with pretrained checkpoints
• you want to train or fine-tune speech synthesis models in Python/PyTorch
• you need multilingual text-to-speech for research or products
• you want dataset quality tools alongside TTS training

When to avoid

• you need a lightweight production TTS API without deep learning dependencies
• you want simple rule-based speech synthesis with minimal setup
• you need actively developed features - the project is in maintenance mode (last release 2023)
• you need real-time low-latency TTS on constrained hardware

Facets

library · maturity maintenance

tts deep-learning machine-learning speech-recognition audio-processing speech-processing deep-learning machine-learning python cross-platform text-to-speech pytorch tacotron vocoder glow-tts pretrained-models voice-cloning speech-synthesis audio gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mozilla/TTS")