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POST
/
api
/
velma-2-ai-music-detection-batch
Detect AI-generated music in an audio file
curl --request POST \
  --url https://platform.modulate.ai/api/velma-2-ai-music-detection-batch \
  --header 'Content-Type: multipart/form-data' \
  --header 'X-API-Key: <api-key>' \
  --form upload_file='@example-file'
import requests

url = "https://platform.modulate.ai/api/velma-2-ai-music-detection-batch"

files = { "upload_file": ("example-file", open("example-file", "rb")) }
headers = {"X-API-Key": "<api-key>"}

response = requests.post(url, files=files, headers=headers)

print(response.text)
const form = new FormData();
form.append('upload_file', '<string>');

const options = {method: 'POST', headers: {'X-API-Key': '<api-key>'}};

options.body = form;

fetch('https://platform.modulate.ai/api/velma-2-ai-music-detection-batch', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://platform.modulate.ai/api/velma-2-ai-music-detection-batch",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Content-Type: multipart/form-data",
    "X-API-Key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://platform.modulate.ai/api/velma-2-ai-music-detection-batch"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("X-API-Key", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://platform.modulate.ai/api/velma-2-ai-music-detection-batch")
  .header("X-API-Key", "<api-key>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://platform.modulate.ai/api/velma-2-ai-music-detection-batch")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["X-API-Key"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"upload_file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001--"

response = http.request(request)
puts response.read_body
{
  "filename": "my_audio.mp3",
  "duration_s": 89.28,
  "primary_verdict": "ai-vocal-music",
  "vocal_percentage": 87.5,
  "vocal_ai_percentage": 56.5,
  "vocal_ai_confidence": 0.96,
  "instrumental_percentage": 64.3,
  "instrumental_ai_percentage": 10.5,
  "instrumental_ai_confidence": 0.95,
  "silence_percentage": 3.51,
  "windows": [
    {
      "start_time_ms": 0,
      "end_time_ms": 4000,
      "vocal_percentage": 100,
      "vocal_ai_percentage": 100,
      "vocal_ai_confidence": 0.97,
      "instrumental_percentage": 79,
      "instrumental_ai_percentage": 0,
      "instrumental_ai_confidence": 0,
      "silence_percentage": 0
    },
    {
      "start_time_ms": 4000,
      "end_time_ms": 8000,
      "vocal_percentage": 0,
      "vocal_ai_percentage": 0,
      "vocal_ai_confidence": 0,
      "instrumental_percentage": 82,
      "instrumental_ai_percentage": 0,
      "instrumental_ai_confidence": 0.76,
      "silence_percentage": 18
    }
  ],
  "latency_ms": 1333
}

Authorizations

​
X-API-Key
string
header
required

API key used for authentication and usage tracking.

Body

multipart/form-data
​
upload_file
file
required

Audio file to analyse. Must be non-empty. Supported formats: .aac, .flac, .m4a, .mp3, .mp4, .ogg, .opus, .wav. Maximum file size: 100 MB.

Response

Detection completed successfully.

​
filename
string
required

Name of the submitted audio file. Empty string if no filename was provided in the upload.

Example:

"my_audio.mp3"

​
duration_s
number<double>
required

Total duration of the analysed audio in seconds.

Required range: x >= 0
Example:

89.28

​
primary_verdict
enum<string>
required

Clip-level classification:

  • ai-vocal-music - AI-generated music with a detected synthetic voice (covers AI songs and AI synthetic vocal tracks).
  • ai-instrumental - AI-generated instrumental music with no detectable synthetic voice.
  • not-ai-music - the clip does not appear to contain AI-generated music.
Available options:
ai-vocal-music,
ai-instrumental,
not-ai-music
Example:

"ai-vocal-music"

​
vocal_percentage
number<double>
required

Clip-level average percentage of the audio that contains vocal content, averaged across all windows.

Required range: 0 <= x <= 100
Example:

87.5

​
vocal_ai_percentage
number<double>
required

Percentage of the clip duration classified as AI-generated vocals. Computed as (seconds of windows classified as AI vocals) / (total clip seconds) * 100. A window contributes its full duration when it is classified as AI-generated vocals; zero otherwise.

Required range: 0 <= x <= 100
Example:

56.5

​
vocal_ai_confidence
number<double>
required

Average confidence that the vocal windows contain AI-generated vocals, across all windows with vocal content. Not diluted by non-vocal windows.

Required range: 0 <= x <= 1
Example:

0.89

​
instrumental_percentage
number<double>
required

Clip-level average percentage of the audio that contains instrumental music content, averaged across all windows.

Required range: 0 <= x <= 100
Example:

64.3

​
instrumental_ai_percentage
number<double>
required

Percentage of non-vocal non-silent windows classified as AI-generated instrumental content (0-100 scale).

Required range: 0 <= x <= 100
Example:

10.5

​
instrumental_ai_confidence
number<double>
required

Maximum confidence that a non-vocal window contains AI-generated instrumental content. Zero if no such window was found.

Required range: 0 <= x <= 1
Example:

0.95

​
silence_percentage
number<double>
required

Clip-level average percentage of the audio that contains neither vocal nor instrumental content, averaged across all windows.

Required range: 0 <= x <= 100
Example:

3.51

​
windows
object[]
required

Per-window breakdown of detection results.

​
latency_ms
number<double>
required

End-to-end inference time in milliseconds.

Required range: x >= 0
Example:

1333