UVR / MDX-Net / RoFormer (разделение звука)
A large open collection of models for separating vocals from music and noise: MDX-Net, BS-RoFormer, Mel-RoFormer, SCNet. The quality leaders for vocals among open solutions.
- Developer
- Community: Ultimate Vocal Remover (Anjok07), ZFTurbo, MVSep, International community
- First release
- Dec 2022
- Latest release
- Aug 2026
- Sizes
- from tens to hundreds of millions of parameters
- License
- Commercial use with conditionsCode MIT; individual weights have different terms, check each model
- Running
- On your own serverAlso runs without a GPU
- Industries
- Media and production
What it does
- Clean vocals from a recording with music
- Backing tracks and stems for karaoke
- Removing background music and noise from videos
Where it is used
Hardware requirements
Versions
- DTTNet
- BS PolarFormer, MVSep Mega
- SCNet XL
- Mel-/BS-RoFormer
- MSST: MDX23C и первые веса
- UVR 5.6
- UVR 5.5
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can UVR / MDX-Net / RoFormer (разделение звука) be used in a commercial project?
With conditions. License: Code MIT; individual weights have different terms, check each model. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does UVR / MDX-Net / RoFormer (разделение звука) need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does UVR / MDX-Net / RoFormer (разделение звука) support Russian?
Language does not matter for this model: it does not work with text.
Where can I download UVR / MDX-Net / RoFormer (разделение звука) and what does it cost?
The UVR / MDX-Net / RoFormer (разделение звука) weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Comparisons
Similar models
A classic model that splits a track into vocals, drums, bass and the rest. The v4 hybrid transformer version remains the benchmark; the project is now maintained by its author in his own repository.
DetailsVoice: speakers and soundSAM AudioMeta · USACommercial use with conditionsA model that cuts the sound you need out of a recording based on a text description, a mark on the video or a time range: a voice, an instrument, noise. Weights are available on request.
DetailsSource: github.com/ZFTurbo/Music-Source-Separation-Training/releases. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


