POST
/
denoise
import requests

url = "https://api.example.com/api/public/v1/denoise"
headers = {"Authorization": "<API_KEY>", "accept": "application/json"}

# Option 1: URL
response = requests.post(url, headers=headers, json={"audio_url": "https://example.com/audio.m4a"})

# Option 2: File Upload
with open("audio.m4a", "rb") as f:
    files = {"audio_file": f}
    response = requests.post(url, headers=headers, files=files)

print(response.json())
{
  "success": true,
  "task_id": "denoise789",
  "conversion_id": "conv456",
  "eta": -1,
  "credit_estimate": 100.1
}

Remove background noise from an input audio file with optional webhook callback for asynchronous updates.

​
🎧 Endpoint

POST /denoise

This endpoint removes noise from an uploaded or linked audio file. A webhook_url can be provided for asynchronous task status updates.

​
▶️ Sample Output

Listen to a real sample output:

Download Audio

​
🧪 Try it Yourself

Visit the Denoise Endpoint Explorer to try your own text samples.

💡 Tip: Set a webhook_url to receive results automatically when your audio is ready.

​
🔢 Request Parameters

ParameterTypeRequiredDescription
audio_urlStringOptionalThe URL of an audio file to clean. Either audio_url or audio_file must be provided.
audio_fileUploadFileOptionalUpload the audio file directly. Either audio_url or audio_file must be provided.
webhook_urlStringOptionalCallback URL for async response.
Denoise

💡 Note: Either audio_url or audio_file must be provided — one is required.

​
📤 Sample Request

​
👚 cURL

curl -X POST "https://api.musicgpt.com/api/public/v1/Denoise" \
-H "accept: application/json" \
-H "Authorization: <api_key>" \
-F "audio_url=https://www.youtube.com/watch?v=jGflUbPQfW8" \
-F "webhook_url=http://webhook.musicgpt.com"

​
🐍 Python

import requests

url = "https://api.musicgpt.com/api/public/v1/Denoise"

headers = {
    "accept": "application/json",
    "Authorization": "<api_key>"
}

input_audio_file = open("{path_to_your_audio_file}", "rb")

payload = {
    "audio_url": "",
    "webhook_url": "http://abcd.requestcatcher.com/test"
}

response = requests.post(url=url,
                         headers=headers,
                         data=payload,
                         files={"audio_file": input_audio_file})

print(response.status_code, response.json())

🔐 Replace {path_to_your_audio_file}, api_key, and webhook_url before executing.

​
📥 Sample Response

​
✅ Success (200 OK)

{
  "success":true,
  "task_id":"01e88c6d-5006-4ad9-b7c4-80360ca37860",
  "conversion_id":"c3f08613-998d-4ef9-80a9-9c05891e5237",
  "eta":71,
  "credit_estimate":0.48,
  "message":"",
  "status":"IN_QUEUE"
}

​
📥 Webhook Response

​
✅ Success (200 OK)

{
  "success": true, 
  "conversion_type": "Denoise", 
  "task_id": "01e88c6d-5006-4ad9-b7c4-80360ca37860", 
  "conversion_id": "c3f08613-998d-4ef9-80a9-9c05891e5237", 
  "audio_path": "files/2e7c373c-aef9-4dda-8e70-2ff50ad18169.wav", 
  "no_noise": "https://lalals.s3.amazonaws.com/conversions/01e88c6d-5006-4ad9-b7c4-80360ca37860_nonoise.mp3", 
  "no_noise_wav": "https://lalals.s3.amazonaws.com/conversions/01e88c6d-5006-4ad9-b7c4-80360ca37860_nonoise.wav", 
  "noise": "https://lalals.s3.amazonaws.com/conversions/01e88c6d-5006-4ad9-b7c4-80360ca37860_noise.mp3", 
  "noise_wav": "https://lalals.s3.amazonaws.com/conversions/01e88c6d-5006-4ad9-b7c4-80360ca37860_noise.wav", 
  "message": "de_noising conversion Completed", 
  "conversion_duration": 136.82721088435375, 
  "conversion_cost": "0.48"
}

​
❌ Common Errors

  • 422 Unprocessable Entity: Both audio_url and audio_file cannot be None.
  • 500 Internal Server Error: A server error occurred during processing.

​
📞 Webhook Response

Once noise removal is completed, the webhook receives:

{
  "success": true,
  "conversion_type": "Denoise",
  "task_id": "123abc-denoise",
  "conversion_id": "456xyz-denoise",
  "audio_path": "files/audio_original.wav",
  "no_noise": "https://musicgpt.s3.amazonaws.com/conversions/123abc-denoise_no_noise.mp3",
  "no_noise_wav": "https://musicgpt.s3.amazonaws.com/conversions/123abc-denoise_no_noise.wav",
  "noise": "https://musicgpt.s3.amazonaws.com/conversions/123abc-denoise_noise.mp3",
  "noise_wav": "https://musicgpt.s3.amazonaws.com/conversions/123abc-denoise_noise.wav",
  "message": "denoise conversion Completed",
  "conversion_duration": 275.48,
  "conversion_cost": 2.75
}

You can stream or download the cleaned audio and isolated noise in both .mp3 and .wav formats.

​
▶️ Sample Output

Listen to a real sample output:

Input Audio :
Output :

  • echo

  • no_echo

Authorizations

​
Authorization
string
header
required

Body

multipart/form-data

Response

200
application/json

Successfully initiated noise removal

The response is of type object.