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Parler-TTS

Inference and training library for high-quality TTS models.

View on GitHub Official site
Text To Speech Apache-2.0 Easy setup 5,582 stars

Overview

Description

Parler-TTS generates high-quality, natural-sounding speech from text using simple descriptions to control voice characteristics like gender, pitch, and speaking style. Fully open-source with pre-trained models ready to use β€” no expensive API subscriptions required. Fine-tune on your own speakers for customized voice output.

Technical scorecard

License

Apache-2.0

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

No

Quantization support

No

Docker available

No

GUI / no-code available

Yes

Telemetry

Unknown

Offline after setup

No

Data & Privacy

Does it send data online?

This listing is not marked offline after setup.

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/huggingface/parler-tts

Hardware Requirements

Hardware tagsCPU, GPU (NVIDIA), GPU (Apple Silicon)
LanguagesPython

Works Well With