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elevenlabs/audio-isolation

ElevenLabs Audio Isolation isolates speech from background noise to produce clearer dialogue, interviews, voice recordings, podcasts, and other speech-focused audio workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Audio Editing
Input
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Idle

$0.11per run·~90 / $10

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ElevenLabs Audio Isolation

ElevenLabs Audio Isolation separates speech from background noise to produce cleaner, more intelligible voice recordings. Upload an audio file containing dialogue or spoken content, and the model reduces surrounding noise while preserving the speech for interviews, voiceovers, meetings, and other dialogue-focused workflows.

It is designed specifically for speech isolation rather than music stem separation.

Why Choose This?

  • Speech isolation
    Extract clearer spoken audio from recordings with background noise.

  • Dialogue cleanup
    Improve interviews, conversations, narration, and other speech-focused recordings.

  • Simple workflow
    Only an input audio file is required.

  • Long-audio support
    Process recordings up to 60 minutes.

  • Large-file support
    Accept audio files up to 500 MB.

Parameters

ParameterRequiredDescription
audioYesAudio file provided by upload or direct URL. Maximum input size: 500 MB. Maximum processed duration: 60 minutes.

How to Use

  1. Provide an audio recording — Upload a file or supply a direct audio URL.
  2. Submit — Run the speech-isolation process.
  3. Retrieve the result — Preview and download the cleaned audio.

Pricing

Pricing is based on the processed input audio duration.

The rate is $0.11 per input minute, charged proportionally to duration.

Input DurationPrice
30 seconds$0.055
1 minute$0.11
5 minutes$0.55
10 minutes$1.10
30 minutes$3.30
60 minutes$6.60

Only the first 60 minutes of input audio are processed and billed.

Best Use Cases

  • Interviews — Reduce environmental noise around spoken dialogue.
  • Voiceovers — Clean recordings captured outside controlled studio environments.
  • Meetings and presentations — Improve speech clarity in recorded conversations and talks.
  • Creator content — Clean dialogue for videos, podcasts, tutorials, and social content.
  • Field recordings — Reduce distracting background sound around recorded speech.
  • Post-production — Prepare cleaner dialogue before editing, mixing, or further processing.

Pro Tips

  • Use recordings where speech is reasonably audible above the surrounding noise.
  • Cleaner source recordings generally produce stronger isolation results.
  • Heavy overlap between speech and loud background sounds may limit how completely the noise can be removed.
  • Use the isolated output as a cleaner starting point for voice editing, mixing, or enhancement.
  • Supply a direct audio-file URL rather than a webpage containing an embedded player.

Notes

  • audio is the only required parameter.
  • Maximum input size is 500 MB.
  • Up to the first 60 minutes of audio are processed and billed.
  • This endpoint is designed to isolate speech from background noise.
  • It is not intended to separate music into vocals, drums, instruments, or other stems.
  • Output quality depends on the source recording and the amount of overlap between speech and background noise.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Audio Isolation API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/elevenlabs/audio-isolation with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Audio Isolation below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/elevenlabs/audio-isolation" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/elevenlabs/audio-isolation";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/elevenlabs/audio-isolation", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Audio Isolation API — Frequently asked questions

What is the Audio Isolation API?

Audio Isolation is a ElevenLabs model for AI inference, exposed as a REST API on WaveSpeedAI. ElevenLabs Audio Isolation isolates speech from background noise to produce clearer dialogue, interviews, voice recordings, podcasts, and other speech-focused audio workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Audio Isolation API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/elevenlabs/elevenlabs-audio-isolation.

How much does Audio Isolation cost per run?

Audio Isolation starts at $0.11 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Audio Isolation accept?

Key inputs: `audio`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/elevenlabs/elevenlabs-audio-isolation.

How do I get started with the Audio Isolation API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Audio Isolation outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (ElevenLabs). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

llms.txt — elevenlabs/audio-isolation for AI agents and LLMs