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Tts — mozilla

TTS is an open-source Python library for generating speech from text and developing text-to-speech models. It includes pretrained models, training and evaluation tools, and utilities for assessing speech-training datasets.

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Independent OpenViST project profile, based on linked sources.

Tts — mozilla — OpenViST project profile in Audio & Voice AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use TTS when you want a Python library for speech synthesis or need tools and model components for text-to-speech development, training or dataset analysis.

Who it is for

  • Developers adding speech synthesis to Python applications.
  • Researchers and practitioners prototyping or training text-to-speech models.
  • Teams assessing or curating speech-training datasets.

Documented uses

  • Generate speech from text using released models.
  • Prototype speech-generation features with pretrained models.
  • Train text-to-speech models, including multi-speaker models.
  • Analyze and assess the quality of speech datasets.
  • Evaluate models and select parameters with notebooks.
Before you choose

Requirements & limits

The repository is public and specifies the MPL-2.0 license. The README specifies Python >=3.6 and

  • The README recommends the PyPI package for synthesis with released models, and a local repository installation for coding or training.
  • The project documents released models in PyTorch, TensorFlow and TensorFlow Lite formats.
  • The README lists multi-GPU training, multi-speaker synthesis, training logs and a demo server for model testing.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install TTS from PyPI for released-model speech synthesis

Install the library in an environment that meets its documented Python version requirement, as a prerequisite for synthesizing speech with released models.

Before you start

  • Python >= 3.6 and < 3.9

Steps

  1. Use a Python environment in the supported version range.

  2. Install the package with the command below.

    Documented command
    pip install TTS

  3. Continue to the README’s released-model speech-synthesis example to use the installed library.

Expected outcome

The TTS package is installed for the documented released-model synthesis workflow.

Guide limitations

  • This installation recipe does not document the speech-synthesis invocation or its inputs.
  • The documented Python support is limited to versions >= 3.6 and < 3.9.
Documentation 1 ↗
Source-based practical guide

Install TTS locally for coding or model training

Set up a local editable installation for coding with TTS or training models.

Before you start

  • Python >= 3.6 and < 3.9
  • Git and pip

Steps

  1. Clone the repository with the command below.

    Documented command
    git clone https://github.com/mozilla/TTS

  2. From the cloned project directory, install it locally with the command below.

    Documented command
    pip install -e .

  3. Use the repository’s training executables or training recipes as the next stage.

Expected outcome

TTS is installed locally in editable mode for development or training work.

Guide limitations

  • This setup guide does not document dataset preparation, training parameters, or a complete training run.
  • The documented Python support is limited to versions >= 3.6 and < 3.9.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
16 October 2026
Original website title
mozilla/TTS · Official homepage title · retained in its source language
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