voice-changer

Convert audio and video voices to target voices using RVC.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/2670044605/agent-skills-hub --skill voice-changer-2670044605
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: voice-changer
Source: https://github.com/2670044605/agent-skills-hub/tree/main/skills/registry/upstream/wlzh-skills/voice-changer
Command: npx skills add https://github.com/2670044605/agent-skills-hub --skill voice-changer-2670044605

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ffmpeg, ffprobe, pedalboard, and includes scripts (resource) components.

What problem does it solve?

Voice-changer enables high-quality voice transformation for audio (and video) content, reducing manual editing time and enabling creators to tailor vocal characteristics to fit branding, accessibility, or entertainment goals.

Core Features & Use Cases

  • RVC AI-based voice conversion for realistic sound, supporting both audio and video inputs.
  • Auto chunking for long audio to avoid memory issues and ensure reliable processing.
  • Video input support: process video files by extracting audio, applying voice change, and reassembling into the final video.
  • Simple CLI and easy integration into other skills/workflows for automation.

Quick Start

Run the voice-change tool on an input file to produce a changed output file with your selected voice.

Frequently Asked Questions about voice-changer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert voices in a video file using AI voice conversion?

AI voice conversion for video files works by extracting the audio track, applying the voice transformation, and reassembling the changed audio back into the final video. This tool supports video input directly and processes the extraction and reassembly workflow automatically.

What is the best way to handle long audio files for voice conversion without memory issues?

Handling long audio files requires auto chunking to prevent memory issues during voice conversion. This tool implements automatic audio chunking, ensuring reliable processing for long podcasts and extended media without crashing.

Can I use RVC for realistic voice transformation in podcast production?

RVC AI-based voice conversion provides realistic sound transformation tailored for podcast production. It allows you to alter vocal characteristics to fit specific branding or entertainment goals while maintaining high audio quality.

Do I need ffmpeg to process audio and video voice changes?

You need ffmpeg and ffprobe to process audio and video voice changes, as they handle media extraction and reassembly. The workflow also utilizes pedalboard for audio processing to ensure high-quality output.

Does voice conversion support configurable pitch and indexing options?

Voice conversion supports configurable pitch and indexing options to customize the target voice output. These settings allow precise control over the vocal characteristics during the AI transformation process.