mcpField
V
voice-isolator

voice-isolator

github.com/elevenlabsCreative & media5167.1k installsUpdated today
Repository

About voice-isolator

An ElevenLabs audio-isolation skill for removing background noise and isolating speech or vocals from recordings. It serves audio cleanup and preprocessing workflows, with file input through the SDK or CLI.

Key features

  1. 01Removes background noise
  2. 02Isolates speech and vocals
  3. 03Accepts common audio and video formats
  4. 04Supports low-latency PCM input
  5. 05Streams MP3 output by default

Use cases

  1. 01Clean interview or podcast recordings
  2. 02Prepare noisy audio for transcription
  3. 03Extract dialogue from music or effects
  4. 04Isolate a voice before voice transformation

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/elevenlabs/skills --skill voice-isolator

After installing, type/voice-isolatorin Claude Code to confirm it loaded.

Bundled filesreferences/installation.md

Details

From the project README

ElevenLabs Voice Isolator

Removes background noise from audio and isolates vocals/speech — useful for cleaning up noisy recordings, prepping audio for transcription, or pulling dialogue out of a mixed track.

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. For JavaScript, use @elevenlabs/* packages only.

Quick Start

Python
from elevenlabs import ElevenLabs

client = ElevenLabs()

with open("noisy.mp3", "rb") as audio_file:
    audio_stream = client.audio_isolation.convert(audio=audio_file)

with open("clean.mp3", "wb") as f:
    for chunk in audio_stream:
        f.write(chunk)
JavaScript
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { createReadStream, createWriteStream } from "fs";

const client = new ElevenLabsClient();

const audioStream = await client.audioIsolation.convert({
  audio: createReadStream("noisy.mp3"),
});

audioStream.pipe(createWriteStream("clean.mp3"));
CLI
elevenlabs audio-isolation convert --audio noisy.mp3 --output clean.mp3

Parameters

ParameterTypeDefaultDescription
audiofile (required)—Audio file with vocals/speech to isolate
file_formatstringotherother for any encoded audio, or pcm_s16le_16 for 16-bit PCM mono @ 16kHz little-endian (lower latency)

Isolating from a URL

import requests
from io import BytesIO
from elevenlabs import ElevenLabs

client = ElevenLabs()

audio_url = "https://example.com/noisy.mp3"
response = requests.get(audio_url)
audio_data = BytesIO(response.content)

audio_stream = client.audio_isolation.convert(audio=audio_data)

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

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:

audio_stream = client.audio_isolation.convert(
    audio=pcm_bytes,
    file_format="pcm_s16le_16",
)

Supported Formats

Any common encoded audio/video container works as input (MP3, WAV, M4A, FLAC, OGG, WebM, MP4, etc.). Response is a streamed MP3 by default.

Common Workflows

  • Clean up interview/podcast recordings — strip room tone, HVAC, traffic before editing.
  • Prep noisy audio for Speech-to-Text — isolate voice first, then pass through speech_to_text.convert() for better transcription accuracy.
  • Extract dialogue from mixed tracks — pull vocals out of a track with music/SFX.
  • Pre-processing for Voice Changer — isolate the source voice before applying voice transformation.

Error Handling

try:
    audio_stream = client.audio_isolation.convert(audio=audio_file)
except Exception as e:
    print(f"Voice isolation failed: {e}")

Common errors:

  • 401: Invalid API key
  • 422: Invalid parameters (e.g. wrong file_format for the supplied audio)
  • 429: Rate limit exceeded

References

Comments

Markdown supported