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GitHub · OpenMOSS/MOSS-TTS↑ +71 today

Produce Natural and Smooth Sounds

MOSS-TTS (MOSI.AI and OpenMOSS); It is an open source model family that provides high fidelity speech and sound reproduction. It offers solutions for scenarios such as long-text speech synthesis, multi-speaker support, and real-time streaming.

Updates

  • August 2, 2026: Stars 2,440 → 3,939.

Installation

Using pip (PyPI)
pip install moss-tts

What does it offer?

  • It provides high-fidelity speech and voice synthesis.
  • It offers multi-speaker support.
  • Supports real-time audio streaming.
  • It is based on the open source model family.

How to install, how to use?

Paste this into your AI agent (Claude Code · Codex · Antigravity)

Install the MOSS-TTS voice production model: Download the repository with 'git clone https://github.com/OpenMOSS/MOSS-TTS.git', go into it and install the dependencies, then open the Gradio interface with 'python clis/moss_tts_app.py' and generate speech from text.

Repository: https://github.com/OpenMOSS/MOSS-TTS. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

Text-to-SpeechCloneOpen SourceArtificial Intelligence
Who it is forTTS/audio production developers, researchers
DifficultyAdvanced · ML/model knowledge
What offersOpen source TTS model family
FeatureLong text, multi-speaker, real-time streaming
FeeFree · open source (Apache-2.0)
License: Apache-2.0 · you can use it freely, modify it, make commercial use (also includes patent protection). Also check the relevant model card for the model output.

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-05-29: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.