Audio and video · Independent · 22 Oct 2026

OpenBMB/VoxCPM

VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

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VoxCPM2: Tokenizer-Free TTS. Generates natural multilingual speech and clones voices.

In simple English

This tool turns written text into spoken voice files. It speaks thirty different languages and creates sounds in high quality. You can type a description of a desired voice to create it from scratch. You can also upload a short audio clip to clone any specific speaker. It needs a powerful computer graphics card to run locally and free of charge.

What it is

VoxCPM2 is an open-source, two-billion-parameter text-to-speech model built on a diffusion autoregressive architecture. It bypasses discrete tokenization to generate continuous audio latents directly, supporting streaming output and custom voice training.

What it is good for

Solo builders who need natural voiceovers, video dubbing, or multilingual narration without paying for external cloud speech services.

Stars40k
LicenceApache-2.0
Latest2.0.3 (2026-05-11)checked 22 Oct 2026
Last code change2026-10-08
Written inPython
Setup effort
3 / 5
Payoff
5 / 5
Good
  • Supports thirty languages without requiring language tags in the text.
  • Creates entirely new voices using simple natural-language descriptions.
  • Provides open weights under the Apache-2.0 licence for commercial use.
Watch for
  • Requires an NVIDIA graphics card with at least 8 GB of memory to run well.
  • Voice design and controllable cloning results can vary and may need a few retries.
  • Large model size needs significant disk space and download time.
Replaces

Paid cloud text-to-speech APIs and rigid voice generation tools.

Works well with

vLLM-Omni for high-throughput serving and ComfyUI for node-based workflows.

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Install
pip install voxcpm

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: AI & Automation › AI Models & Inference › Speech & Voice Models.

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