explaingit

w-okada/voice-changer

20,246PythonAudience · vibe coderComplexity · 3/5MaintainedSetup · hard

TLDR

Real-time AI voice changer that transforms your microphone audio into a different voice during live calls, streams, or gaming with low latency.

Mindmap

mindmap
  root((repo))
    What it does
      Real-time voice conversion
      Live call compatible
      Local or network processing
    Models supported
      RVC models
      Beatrice v2
      Custom voice models
    Platforms
      Windows with CUDA
      Mac M1
      Linux
    Use cases
      Live streaming
      Gaming sessions
      Discord calls
      Online meetings
    Tech features
      REST API control
      GPU acceleration
      ONNX support

Things people build with this

USE CASE 1

Change your voice in real time during Discord or Zoom calls without interrupting the conversation.

USE CASE 2

Stream on Twitch or YouTube with a different voice while gaming or doing commentary.

USE CASE 3

Use a custom voice model to sound like a character or celebrity during online multiplayer games.

USE CASE 4

Run voice conversion on a separate machine over the network to avoid slowing down your main gaming PC.

Tech stack

PythonRVCONNXCUDAPyTorch

Getting it running

Difficulty · hard Time to first run · 1day+

Requires CUDA/GPU setup, RVC model downloads, and real-time audio pipeline configuration with low-latency constraints.

License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

VCClient (Voice Changer Client) is a real-time AI voice changer application. It takes audio from your microphone and transforms it into a different voice on the fly, with low enough latency to use during live calls, streams, or gaming sessions. The tool supports several AI voice conversion models, most notably RVC (Retrieval-based Voice Conversion) and Beatrice v2. These are machine learning models trained to map one person's voice characteristics to another's. You load a model, speak into your microphone, and the software outputs the converted voice in real time. It can run entirely on your local computer, or it can offload the voice conversion processing to a separate machine over a network, which is useful when you want to run a voice changer at the same time as a resource-heavy application like a game. The software runs on Windows, Mac (M1), and Linux, with pre-built downloads available from Hugging Face for Windows and Mac users. On Windows it can leverage a CUDA-compatible graphics card (NVIDIA GPU) or run using ONNX, a cross-platform AI format, for faster processing. It also exposes a REST API, meaning other programs can control it programmatically. You would use VCClient if you want to change your voice during live streams, online gaming, Discord calls, or any situation where your microphone is active. The primary language in the repository is Japanese, and the application is written in Python.

Copy-paste prompts

Prompt 1
How do I set up VCClient to use an RVC voice model for real-time voice conversion on my Windows PC with an NVIDIA GPU?
Prompt 2
Show me how to use the VCClient REST API to control voice conversion from another application.
Prompt 3
What are the steps to configure VCClient for low-latency voice changing during a Discord call?
Prompt 4
How do I load a custom voice model into VCClient and test it with my microphone?
Prompt 5
Can I run VCClient on a separate machine and have my gaming PC connect to it over the network?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.