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POST
/
predict
AI-voice detection
curl --request POST \
  --url https://api.aurigin.ai/v0/predict \
  --header 'Content-Type: multipart/form-data' \
  --header 'x-api-key: <api-key>' \
  --form file='@example-file' \
  --form user_id=speaker_123
import requests

url = "https://api.aurigin.ai/v0/predict"

files = { "file": ("example-file", open("example-file", "rb")) }
payload = { "user_id": "speaker_123" }
headers = {"x-api-key": "<api-key>"}

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

print(response.text)
const form = new FormData();
form.append('file', '(binary audio file)');
form.append('user_id', 'speaker_123');

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

options.body = form;

fetch('https://api.aurigin.ai/v0/predict', 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://api.aurigin.ai/v0/predict",
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=\"file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n(binary audio file)\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"user_id\"\r\n\r\nspeaker_123\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://api.aurigin.ai/v0/predict"

payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n(binary audio file)\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"user_id\"\r\n\r\nspeaker_123\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://api.aurigin.ai/v0/predict")
.header("x-api-key", "<api-key>")
.body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n(binary audio file)\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"user_id\"\r\n\r\nspeaker_123\r\n-----011000010111000001101001--")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.aurigin.ai/v0/predict")

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=\"file\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n(binary audio file)\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"user_id\"\r\n\r\nspeaker_123\r\n-----011000010111000001101001--"

response = http.request(request)
puts response.read_body
{
  "predictions": [
    "fake",
    "fake",
    "real"
  ],
  "global_probability": [
    0.9584,
    0.9585,
    0.9123
  ],
  "error": [
    null,
    null,
    null
  ],
  "model": "apollo-4-2025-10-20",
  "processing_time": 1.350719928741455,
  "audio_duration": 69.91
}
{
"error": "validation_error",
"message": "Audio file too large (max 4MB)",
"status": 400,
"correlation_id": "d3a1cb06-23a3-4f8a-a955-7ed2df41b5b7"
}
{
"error": "unauthorized",
"message": "Invalid x-api-key header",
"status": 403,
"correlation_id": "12b52e74-7a57-4d85-aa2b-7b9158f09ef9"
}
{
"error": "internal_error",
"message": "Upstream model timed out",
"status": 500,
"correlation_id": "f906f85c-4b63-4f25-a93d-392d8fd521fb"
}

Authorizations

x-api-key
string
header
required

Body

file
file
required
user_id
string

Optional user identifier

Response

OK

error
(string | null)[]

Error messages for each 5-second chunk (null if successful). Aligns 1:1 with the predictions array.

global_probability
number<float>[]

Confidence scores (0.0-1.0) for each prediction, one per 5-second chunk. Aligns 1:1 with the predictions array.

predictions
enum<string>[]

AI detection results for each 5-second chunk of the audio. Array length equals the number of 5-second chunks in the audio file.

Available options:
fake,
real