W-Okada Voice Changer

Free plan APILinuxMacSelf-hostedWindows

Visit W-Okada Voice Changer Alternatives

What W-Okada Voice Changer is

W-Okada Voice Changer is a free application whose VCClient uses voice-conversion AI to change voices in real time. It supports standalone conversion on a local computer and a client-server mode that moves processing to another machine, reducing load on the computer running demanding applications. Version 2 lists RVC and Beatrice v2 models; version 1 lists MMVC, so-vits-svc, and DDSP-SVC. The DDSP-SVC encoder supports only hubert-soft. Windows and Mac prebuilt downloads are offered through Hugging Face, while Linux users are directed to clone the repository. The Windows version 2 standard build can use a capable CPU or DirectML GPU, with a separate CUDA build for Nvidia GPUs. A REST API works with HTTP clients such as curl. Deployment can use prebuilt binaries, Docker, or Anaconda; Windows environment setup requires WSL2. The project also describes Google Colaboratory use requiring an ngrok account. The developer says the software is unsigned and running it is at the user’s own risk. Certain uses of converted Tsukuyomi-chan voice are prohibited.

Who it suits

It suits users who want real-time or recorded-audio voice conversion on Windows, Mac, or Linux. Developers can also use its REST API or move processing to another computer.

What it does well

Free voice conversion with real-time changing
Supports local and networked processing modes
Offers multiple listed conversion models
Provides a REST API for HTTP clients
Docker and Anaconda setup options are described

What to know first

The software is unsigned
Windows environment setup requires WSL2
DDSP-SVC supports only hubert-soft encoder
Certain Tsukuyomi-chan voice uses are prohibited

Getting started

Download the prebuilt Windows or Mac version through Hugging Face
Clone the repository on Linux
Run a prebuilt binary or prepare an environment with Docker or Anaconda
Use WSL2 for Windows environment setup
For Google Colaboratory use, have an ngrok account

Verdict

W-Okada Voice Changer provides free, cross-platform voice conversion with several models, deployment methods, and an API. Hardware choices, WSL2 requirements, unsigned software, and stated voice-use restrictions should be considered before setup.

Questions

Is W-Okada Voice Changer free?

Yes. The pricing model is free and a free plan is listed.

Which platforms does it support?

It supports API, Linux, macOS, self-hosted, and Windows use.

Which voice-conversion models are listed?

Version 2 lists RVC and Beatrice v2. Version 1 lists MMVC, so-vits-svc, and DDSP-SVC; DDSP-SVC supports only the hubert-soft encoder.

Can processing run on another computer?

Yes. Its client-server setup can move voice-conversion processing to another PC.

Does it provide an API?

Yes. A REST API can be operated with HTTP clients such as curl.

Does it include a virtual microphone?

No. Virtual microphone support is not provided.

Facts from W-Okada Voice Changer's own pages

API: The project provides a REST API that can be used from programming-language clients or HTTP tools such as curl. · github.com, 4 Oct 2026
Conversion models: The README lists RVC and Beatrice v2 for version 2, and MMVC, so-vits-svc, and DDSP-SVC for version 1. · github.com, 3 Oct 2026
Deployment: The README describes using prebuilt binaries or setting up an environment with Docker or Anaconda. · github.com, 3 Oct 2026
Downloads: The README directs users to Hugging Face for Windows and Mac binaries and says Linux users should clone the repository. · github.com, 4 Oct 2026
Hardware: The Windows standard v2 build can use a capable CPU or DirectML GPUs, while the CUDA build is available for Nvidia GPUs. · github.com, 4 Oct 2026
Integrations: The README describes launching the software in Google Colaboratory and says this requires an ngrok account. · github.com, 4 Oct 2026
Liability: The README disclaims liability for direct, indirect, consequential, incidental, or special damages related to use or inability to use the software. · github.com, 4 Oct 2026
Local and network modes: The project supports standalone conversion on a local PC and networked use that can offload processing to another computer. · github.com, 4 Oct 2026
Model limits: The repository's edition table assigns Beatrice to standard builds and lists RVC support for Windows CUDA and ONNX builds and Mac M1 ONNX. · github.com, 4 Oct 2026
Models: The README lists RVC and Beatrice v2 for version 2, and MMVC, so-vits-svc, and DDSP-SVC for version 1. · github.com, 4 Oct 2026
Platforms: The README lists Windows, Mac including Apple Silicon, Linux, and Google Colaboratory; the current edition table lists Windows, Mac M1, and Linux builds. · github.com, 4 Oct 2026
Purpose: VC Client performs real-time voice conversion using voice-conversion AI models. · github.com, 4 Oct 2026
Security: The software is not signed by the developer, and the README says running it is at the user's own risk. · github.com, 4 Oct 2026
Security policy: The repository security page says no security policy is detected and no security advisories are published. · github.com, 4 Oct 2026
Separate processing: The client-server setup can run voice conversion on another PC to reduce the load on the computer running resource-intensive applications. · github.com, 3 Oct 2026
Setup: Users can run prebuilt binaries or set up an environment with Docker or Anaconda; the README says Windows environment setup requires WSL2. · github.com, 4 Oct 2026
Support: The repository links to troubleshooting instructions and provides an installation tutorial. · github.com, 3 Oct 2026
Use restrictions: The README lists restrictions on uses of converted Tsukuyomi-chan voice, including attacking individuals and advocating for or against political positions, religions, or ideologies. · github.com, 4 Oct 2026
Voice-use restrictions: The README prohibits certain uses of converted Tsukuyomi-chan voice, including attacking individuals, political or religious advocacy, and publicly sharing it for secondary use as materials. · github.com, 3 Oct 2026
Windows hardware: The Windows v2 standard build can use a reasonably high-performance CPU or DirectML GPUs, and a separate CUDA build is available for Nvidia GPUs. · github.com, 3 Oct 2026