MOSS-TTS

MOSS-TTS is an open-source text-to-speech model family for long-form speech and voice cloning.

MOSS-TTS is a flagship speech generation model designed for production environments and real applications. Developed by the OpenMOSS Team under the Apache 2.0 license, it supports 31 languages, long-form content, and zero-shot voice cloning. It utilizes a high-quality audio tokenizer, large-scale pretraining data, and an efficient discrete token modeling method with an autoregressive architecture. The system offers two complementary architectures, Delay Pattern and Global Latent with Local Transformer, for business and research use. It provides precise control over pronunciation, duration, and pauses to generate consistent, natural speech.

MOSS-TTS at a glance

Best for: Social media creator, Software engineer
Runs on: open-source
Pricing: Free and open-source under Apache 2.0
Released: February 2026
Category: AI audio tool
Website: mosi.cn

Key features

Supports 31 languages
Zero-shot voice cloning
Long-form speech generation
Token-level duration control
Fine-grained pronunciation control
Code-switching synthesis
Audio continuation

Use it for

Generating long-form audio narrations
Creating voiceovers for media
Building multi-language speech applications
Synthesizing custom voice clones

Alternatives to MOSS-TTS

MOSS Transcribe — Jointly performs speech transcription and speaker diarization in one pass.
VoxCPM — Provides tokenizer-free multilingual speech with controllable voice creativity.
Fish Audio — Provides studio-grade voice cloning and text-to-speech with emotion control.
IndexTTS — Supports zero-shot voice cloning with multi-language emotion and speed control.
AuK — It handles zero-shot TTS, editing, and enhancement via natural language.
GPT-SoVITS — It allows high-fidelity voice cloning with as little as one minute of data.
MisoTTS — Generates high-quality conversational speech using an RVQ Transformer architecture.
Voicebox — Perform voice cloning and generation entirely on local hardware.
Piper — Runs locally and offers fast neural text-to-speech synthesis.
kokoro-onnx — Runs local TTS inference with efficient ONNX runtime performance.
Speech-to-Speech — Fully modular, swappable components with local or hosted execution options.
TTS WebUI — It offers a free web interface with over 30 AI models for audio generation.

All MOSS-TTS alternatives