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TTS

πŸΈπŸ’¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

View on GitHub Official site
Text To Speech MPL-2.0 Easy setup 45,791 stars

Overview

Description

The big picture: generate natural-sounding speech from text with a production-ready toolkit that supports over 1,100 languages. Here's why it matters: you can fine-tune existing models or train custom voices for your specific use case without building a TTS engine from scratch. The bottom line: add realistic voice synthesis to your product quickly and reliably.

Technical scorecard

License

MPL-2.0

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

Yes

Quantization support

No

Docker available

Yes

GUI / no-code available

No

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

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Setup & Installation

Easy

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/coqui-ai/TTS

Hardware Requirements

Hardware tagsCPU, GPU (NVIDIA)
LanguagesPython

Works Well With