# voice-changer

Transforms audio recordings into a target voice using ElevenLabs Speech-to-Speech while keeping original timing, laughs, and emotion. Useful for dubbing and voice swapping.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 6500 installs · ★ 508
- Author: elevenlabs
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/elevenlabs/skills/tree/HEAD/voice-changer/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/voice-changer

## What it does

This skill provides integration patterns for the ElevenLabs Voice Changer (Speech-to-Speech) API. It swaps the speaker's voice in an existing audio file with a target `voice_id`. Crucially, it leaves original delivery untouched: whispers, laughter, sighs, and emotional pauses stay in place. It does not clone voices from scratch, because voice creation uses separate API endpoints.

The input file must stay under 50 MB and 5 minutes per API call. If a file exceeds 5 minutes, you must split it into chunks and stitch the output afterwards. The skill recommends `eleven_multilingual_sts_v2`, which handles 29 languages. Pricing is calculated on duration at 1,000 characters per minute of audio processed.

An active `ELEVENLABS_API_KEY` is required. You can configure it quickly with `npx -y @elevenlabs/cli@latest onboard init` in your project directory. Sending files larger than 50 MB without prior MP3 compression causes the request to fail immediately.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add elevenlabs/skills --skill voice-changer -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/voice-changer/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/voice-changer/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add elevenlabs/skills --skill voice-changer -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/voice-changer/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add elevenlabs/skills --skill voice-changer -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/voice-changer/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install elevenlabs/skills voice-changer
```

2. **Manually: put the files in place**
- File: `.github/skills/voice-changer/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add elevenlabs/skills --skill voice-changer -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/elevenlabs/skills --path voice-changer
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/voice-changer/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add elevenlabs/skills --skill voice-changer -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/elevenlabs/skills/tree/HEAD/voice-changer/SKILL.md

## When to use it
- swap the speaker in an existing recording for a selected `voice_id`
- preserve performance pacing, laughter, and emotion during audio dubbing
- anonymize speaker voices in podcast or interview recordings
- strip background noise from the input audio before conversion

## Example prompts
- Convert source.mp3 into voice JBFqnCBsd6RMkjVDRZzb using eleven_multilingual_sts_v2
- Change the voice in narration.mp3 to EXAVITQu4vr4xnSDxMaL with remove_background_noise enabled
- Convert clip.mp3 to Charlotte voice and output as mp3_44100_128

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 22a2f66400457ffb.

BEGIN THIRD-PARTY FILE 22a2f66400457ffb
````text
---
name: voice-changer
description: Transform the voice in an audio recording into a different target voice while preserving emotion, timing, and delivery using the ElevenLabs Voice Changer (speech-to-speech) API. Use when converting one voice to another, changing the speaker/narrator of an existing recording, dubbing a voice-over in a different voice, creating character voices from a scratch performance, anonymizing a speaker, or any "voice conversion / voice transfer / speech-to-speech" task. Make sure to use this skill whenever the user mentions voice changing, voice conversion, speech-to-speech, swapping a voice in audio, re-voicing a clip, or applying a different voice to an existing recording — even if they don't explicitly say "voice changer". Do not use this skill to create or clone a new voice from a voice sample — that is voice cloning (IVC/PVC), a separate feature; this skill only converts an existing recording into an existing voice_id.
license: MIT
compatibility: Requires internet access and an ElevenLabs API key (ELEVENLABS_API_KEY).
metadata: {"openclaw": {"requires": {"env": ["ELEVENLABS_API_KEY"]}, "primaryEnv": "ELEVENLABS_API_KEY"}}
---

# ElevenLabs Voice Changer

Transform the voice in an audio recording into a different target voice. Voice Changer (previously called Speech-to-Speech — the API endpoint and SDK methods still use the `speech_to_speech` / `speechToSpeech` name) keeps the original performance — emotion, pacing, intonation, breaths, whispers, laughs, cries — and only swaps who is speaking.

> **Setup, before writing any code:** if `ELEVENLABS_API_KEY` isn't set for this project, run `npx -y @elevenlabs/cli@latest onboard init` from the app's folder first and follow what it prints: it signs the user in and stores a key for the project, so nobody copies one by hand. Otherwise see the [Installation Guide](references/installation.md). For JavaScript, use `@elevenlabs/*` packages only.

## Key Facts

- **Maximum input length:** 5 minutes per request — split longer recordings into chunks and stitch the outputs.
- **Maximum file size:** 50 MB per request — compress to MP3 if your source is larger.
- **Pricing:** 1,000 characters per minute of audio processed (duration-based, not text-based).
- **Recommended model:** `eleven_multilingual_sts_v2` — often outperforms `eleven_english_sts_v2` even for English-only content.

## Quick Start

### Python

```python
from elevenlabs import ElevenLabs

client = ElevenLabs()

with open("source.mp3", "rb") as audio_file:
    audio_stream = client.speech_to_speech.convert(
        voice_id="JBFqnCBsd6RMkjVDRZzb",  # George
        audio=audio_file,
        model_id="eleven_multilingual_sts_v2",
        output_format="mp3_44100_128",
    )
````
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