
Short videos where you don't want to appear on camera, podcasts without recording equipment, and projects that need voiceover can now be handled on your own computer with a free, open-source model: VoxCPM2.
What It Can Do
Type and get speech. Enter a passage of text and generate speech directly.
Design a voice with one sentence. No need to hire a voice actor or record a reference clip. Write a description like "a calm female voice in her thirties," and it generates a new voice matching that description.
Clone your voice from one recording. Give it a short recording of yourself, and it can learn your timbre, tone and phrasing, and even closely reproduce your speaking habits. For a closer match, add a verbatim transcript of that recording.
48kHz high audio quality. The output approaches studio quality, good enough for videos and podcasts.
Free for commercial use. The code and model are both Apache 2.0 licensed, so you can use and modify them for free, including in commercial projects.
It also supports 30 languages and multiple dialects, including Sichuanese, Cantonese and Northeastern Mandarin.
How to Get Started
The fastest way is to have your Agent set it up: open the VoxCPM Skill page on this site, click "Copy prompt," and paste it into Claude Code or Codex. It will check your computer, set up the environment, and then generate voices the way you want.
If you prefer to do it yourself, it runs in three lines:
pip install voxcpm soundfile
from voxcpm import VoxCPM
import soundfile as sf
model = VoxCPM.from_pretrained("openbmb/VoxCPM2", load_denoiser=False)
wav = model.generate(text="(沉稳的三十多岁女声)大家好,欢迎收听。")
sf.write("hello.wav", wav, model.tts_model.sample_rate)
Who It Is For
- People making short videos who don't want to show their face or use their own voice.
- People who want to start a podcast but have no recording equipment.
- People whose projects need a lot of voiceover, narration, or multilingual versions.
Key Points to Understand First
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Sources
- Official repository: https://github.com/OpenBMB/VoxCPM
- Online demo: https://huggingface.co/spaces/OpenBMB/VoxCPM-Demo

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