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Documentation Index

Fetch the complete documentation index at: https://developer.audioshake.ai/llms.txt

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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.

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Create a Task

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

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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.