voice-changer

What this skill does

# 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:** See [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",
    )

with open("converted.mp3", "wb") as f:
    for chunk in audio_stream:
        f.write(chunk)
```

### JavaScript

```javascript
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { createReadStream, createWriteStream } from "fs";

const client = new ElevenLabsClient();

const audioStream = await client.speechToSpeech.convert("JBFqnCBsd6RMkjVDRZzb", {
  audio: createReadStream("source.mp3"),
  modelId: "eleven_multilingual_sts_v2",
  outputFormat: "mp3_44100_128",
});

audioStream.pipe(createWriteStream("converted.mp3"));
```

### cURL

```bash
curl -X POST "https://api.elevenlabs.io/v1/speech-to-speech/JBFqnCBsd6RMkjVDRZzb?output_format=mp3_44100_128" \
  -H "xi-api-key: $ELEVENLABS_API_KEY" \
  -F "[email protected]" \
  -F "model_id=eleven_multilingual_sts_v2" \
  --output converted.mp3
```

## Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `voice_id` | string (required) | — | Target voice to speak in. Use a pre-made voice ID, a cloned voice, or a voice from the library |
| `audio` | file (required) | — | Source audio whose performance (emotion, timing, delivery) will be preserved |
| `model_id` | string | `eleven_english_sts_v2` | `eleven_multilingual_sts_v2` for 29 languages, `eleven_english_sts_v2` for English-only |
| `output_format` | string | `mp3_44100_128` | See output formats table below |
| `voice_settings` | JSON string | — | Override stored voice settings for this request only |
| `seed` | integer | — | Best-effort deterministic sampling (0 – 4294967295) |
| `remove_background_noise` | boolean | `false` | Run the isolation model on the input before conversion |
| `file_format` | string | `other` | `other` for any encoded audio, or `pcm_s16le_16` for 16-bit PCM mono @ 16kHz little-endian (lower latency) |
| `optimize_streaming_latency` | int (query) | — | 0–4. Trade quality for latency. `4` is fastest but disables the text normalizer |
| `enable_logging` | boolean (query) | `true` | Set to `false` for zero-retention mode (enterprise only — disables history/stitching) |

## Models

| Model ID | Languages | Best For |
|----------|-----------|----------|
| `eleven_multilingual_sts_v2` | 29 | Recommended for everything — often outperforms the English model even on English audio |
| `eleven_english_sts_v2` | English | API default — English-only fallback |

Only models whose `can_do_voice_conversion` property is true can be used here. Voice Changer does not currently have a low-latency "flash/turbo" tier — if you need one, keep `pcm_s16le_16` input, an `opus_*` / low-bitrate `mp3_*` output, and raise `optimize_streaming_latency`.

### Languages (`eleven_multilingual_sts_v2`)

English (US, UK, AU, CA), Japanese, Chinese, German, Hindi, French (FR, CA), Korean, Portuguese (BR, PT), Italian, Spanish (ES, MX), Indonesian, Dutch, Turkish, Filipino, Polish, Swedish, Bulgarian, Romanian, Arabic (SA, AE), Czech, Greek, Finnish, Croatian, Malay, Slovak, Danish, Tamil, Ukrainian, Russian.

## Target Voices

Use any voice ID from pre-made voices, your cloned voices, or the voice library.

**Popular voices:**
- `JBFqnCBsd6RMkjVDRZzb` — George (male, narrative)
- `EXAVITQu4vr4xnSDxMaL` — Sarah (female, soft)
- `onwK4e9ZLuTAKqWW03F9` — Daniel (male, authoritative)
- `XB0fDUnXU5powFXDhCwa` — Charlotte (female, conversational)

```python
voices = client.voices.get_all()
for voice in voices.voices:
    print(f"{voice.voice_id}: {voice.name}")
```

## Converting from a URL

```python
import requests
from io import BytesIO
from elevenlabs import ElevenLabs

client = ElevenLabs()

audio_url = "https://storage.googleapis.com/eleven-public-cdn/audio/marketing/nicole.mp3"
response = requests.get(audio_url)
audio_data = BytesIO(response.content)

audio_stream = client.speech_to_speech.convert(
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    audio=audio_data,
    model_id="eleven_multilingual_sts_v2",
    output_format="mp3_44100_128",
)

with open("converted.mp3", "wb") as f:
    for chunk in audio_stream:
        f.write(chunk)
```

## Voice Settings Override

Fine-tune the target voice for a single request without changing its stored defaults:

```python
from elevenlabs import VoiceSettings

audio_stream = client.speech_to_speech.convert(
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    audio=audio_file,
    model_id="eleven_multilingual_sts_v2",
    voice_settings=VoiceSettings(
        stability=0.5,
        similarity_boost=0.75,
        style=0.0,
        use_speaker_boost=True,
    ),
)
```

- **Stability**: lower = more emotional range (follows the source more freely), higher = steadier delivery.
- **Similarity boost**: higher = closer to the target voice's timbre, may amplify source artifacts.
- **Style**: exaggerates the target voice's unique characteristics (v2+ models).
- **Speaker boost**: post-processing to sharpen clarity of the target voice.

## Cleaning Up Noisy Source Audio

If the input recording is noisy, either pre-process with the voice-isolator skill or pass `remove_background_noise=True` to do it in a single call:

```python
audio_stream = client.speech_to_speech.convert(
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    audio=audio_file,
    model_id="eleven_multilingual_sts_v2",
    remove_background_noise=True,
)
```

Cleaner input almost always produces better conversion — the model is trying to match phonemes and prosody, and background noise gets in the way.

## Low-Latency PCM Input

If you already have raw 16-bit PCM mono @ 16kHz, passing `file_format="pcm_s16le_16"` skips decoding and reduces latency:

```python
audio_stream = client.speech_to_speech.convert(
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    audio=pcm_bytes,
    model_id="eleven_multilingual_sts_v2",
    file_format="pcm_s16le_16",
)
```

Pair this with `optimize_streaming_latency` (0–4) as a query param for further latency reductions at some quality cost.

## Output Formats

| Format | Description |
|--------|-------------|
| `mp3_44100_128` | MP3 44.1kHz 128kbps (default) — good for web/apps |
| `mp3_44100_192` | MP3 44.1kHz 192kbps (Creator+) — higher quality |
| `mp3_44100_64` | MP3 44.1kHz 64kbps — smaller files |
| `mp3_22050_32` | MP3 22.05kHz 32kbps — smallest MP3 |
| `pcm_16000` | Raw PCM 16kHz — real-time pipelines |
| `pcm_24000` | Raw PCM 24kHz — good streaming balance |
| `pcm_44100` | Raw PCM 44.1kHz (Pro+) — CD quality |
| `pcm_48000` | Raw PCM 48kHz (Pro+) — highest quality |
| `ulaw_8000` | μ-law 8kHz — Twilio / telephony |
| `alaw_8000` | A-law 8kHz — telephony |
| `opus_48000_64` | Opus 48kHz 64kbps — efficient streaming |

## Deterministic Output

Pass a `seed` to make repeated conversions of the same input return (best-effort) identi