POST
/
denoise
Python
import requests

url = "https://api.musicgpt.com/api/public/v1/denoise"
headers = {
    "Authorization": "<<<api key>>>"
}

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

# Option 2: File Upload
# payload = {
#     "webhook_url": "https://www.test.requestcatcher.com/test"
# }
# with open("audio.m4a", "rb") as f:
#     files = {"audio_file": f}
#     response = requests.post(url, headers=headers, data=payload, 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.

ā€‹
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.

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Sample Output

Listen to a real sample output:

Download Audio

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Try it Yourself

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

šŸ’” Tip: Set a webhook_url to receive results automatically when your audio is ready.

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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.

šŸ’” Note: Either audio_url or audio_file must be provided ā€” one is required.

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Sample Request

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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"

ā€‹
Python

import requests

url = "https://api.musicgpt.com/api/public/v1/deecho"
headers = {
    "Authorization": "<<<api key>>>"
}

# Option 1: URL
payload = {
    "audio_url": "https://youtube.com/example",
    "webhook_url": ""
}
response = requests.post(url, headers=headers, data=payload)
print(response.json())

# Option 2: File Upload
# payload = {
#     "webhook_url": "https://www.test.requestcatcher.com/test"
# }
# with open("audio.m4a", "rb") as f:
#     files = {"audio_file": f}
#     response = requests.post(url, headers=headers, data=payload, files=files)
# print(response.json())

šŸ” Replace {path_to_your_audio_file}, api_key, and webhook_url before executing.

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Sample Response

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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"
}

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Webhook Response

ā€‹
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"
}

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Common Errors

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

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Payload and Request Formation

Authorizations

ā€‹
Authorization
string
header
required

Body

multipart/form-data

Response

200
application/json

Successfully initiated noise removal

The response is of type object.