Music Removal - AudioShake Developers

Create a Task

Strip background music from any audio or video content while keeping speech and sound effects intact. Use this for cleaning up interviews with music beds, preparing content for re-editing, or isolating non-musical audio.

Code Examples

Python

import requests

API_KEY = "your_api_key"
HEADERS = {"Content-Type": "application/json", "x-api-key": API_KEY}

response = requests.post(
    "https://api.audioshake.ai/tasks",
    headers=HEADERS,
    json={
        "assetId": "your_asset_id",
        "targets": [
            {"model": "music_removal", "formats": ["wav"]}
        ]
    }
)

task_id = response.json()["id"]
print(f"Task created: {task_id}")

JavaScript

const API_KEY = "your_api_key";
const headers = { "Content-Type": "application/json", "x-api-key": API_KEY };

const createRes = await fetch("https://api.audioshake.ai/tasks", {
  method: "POST",
  headers,
  body: JSON.stringify({
    assetId: "your_asset_id",
    targets: [
      { model: "music_removal", formats: ["wav"] }
    ]
  })
});

const { id: taskId } = await createRes.json();
console.log(`Task created: ${taskId}`);

cURL

curl -X POST "https://api.audioshake.ai/tasks" \
  -H "Content-Type: application/json" \
  -H "x-api-key: $AUDIOSHAKE_API_KEY" \
  -d '{
    "assetId": "your_asset_id",
    "targets": [
      { "model": "music_removal", "formats": ["wav"] }
    ]
  }'

Check Task status to monitor progress and download results, or use webhooks to be notified when each target completes.

Use cases

• Clean up interviews or podcasts that have background music beds
• Prepare broadcast content for re-editing or archival
• Remove music from sports commentary for international distribution
• Preprocess audio before speech-to-text for better accuracy

Music Detection
Find where music appears before removing it.

Dialogue Separation
Separate dialogue from effects and music instead.