AI-voice detection

curl --request POST \
  --url https://api.aurigin.ai/v1/predict \
  --header 'Content-Type: multipart/form-data' \
  --header 'x-api-key: <api-key>' \
  --form file='@example-file' \
  --form device=api \
  --form model=apollo-4-5-2026-03-26 \
  --form threshold=0.5

import requests

url = "https://api.aurigin.ai/v1/predict"

files = { "file": ("example-file", open("example-file", "rb")) }
payload = {
    "device": "api",
    "model": "apollo-4-5-2026-03-26",
    "threshold": "0.5"
}
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('device', 'api');
form.append('model', 'apollo-4-5-2026-03-26');
form.append('threshold', '0.5');

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

options.body = form;

fetch('https://api.aurigin.ai/v1/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/v1/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=\"device\"\r\n\r\napi\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\napollo-4-5-2026-03-26\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"threshold\"\r\n\r\n0.5\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/v1/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=\"device\"\r\n\r\napi\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\napollo-4-5-2026-03-26\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"threshold\"\r\n\r\n0.5\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/v1/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=\"device\"\r\n\r\napi\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\napollo-4-5-2026-03-26\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"threshold\"\r\n\r\n0.5\r\n-----011000010111000001101001--")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aurigin.ai/v1/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=\"device\"\r\n\r\napi\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\napollo-4-5-2026-03-26\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"threshold\"\r\n\r\n0.5\r\n-----011000010111000001101001--"

response = http.request(request)
puts response.read_body

{
  "prediction_id": "pred_9b6ff057a7f7",
  "global": {
    "score": 0.975,
    "confidence": 0.95,
    "result": "spoofed",
    "reason": null
  },
  "segments": [
    {
      "start": 0,
      "end": 5,
      "scores": [
        0.98
      ],
      "confidence": 0.96,
      "result": "spoofed"
    },
    {
      "start": 5,
      "end": 10,
      "scores": [
        0.97
      ],
      "confidence": 0.94,
      "result": "spoofed"
    }
  ],
  "model": "apollo-4-5-2026-03-26",
  "processing_time": 1.23,
  "audio_duration": 10,
  "warnings": []
}

Deepfake detection

AI-voice detection

Detect whether audio clips are human (bonafide) or AI-generated (spoofed) and get segment-level confidence scores.

Designed for quick checks

Supported formats: WAV, MP3, AAC, FLAC, OGG, M4A, MP4, MOV, AVI, MKV

Two ways to send audio

multipart/form-data upload with a file
application/json payload with a presigned_url

The API automatically analyzes the audio in ~5-second segments and returns both a global verdict and detailed per-segment results.

POST

predict

AI-voice detection

curl --request POST \
  --url https://api.aurigin.ai/v1/predict \
  --header 'Content-Type: multipart/form-data' \
  --header 'x-api-key: <api-key>' \
  --form file='@example-file' \
  --form device=api \
  --form model=apollo-4-5-2026-03-26 \
  --form threshold=0.5

import requests

url = "https://api.aurigin.ai/v1/predict"

files = { "file": ("example-file", open("example-file", "rb")) }
payload = {
    "device": "api",
    "model": "apollo-4-5-2026-03-26",
    "threshold": "0.5"
}
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('device', 'api');
form.append('model', 'apollo-4-5-2026-03-26');
form.append('threshold', '0.5');

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

options.body = form;

fetch('https://api.aurigin.ai/v1/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/v1/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=\"device\"\r\n\r\napi\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\napollo-4-5-2026-03-26\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"threshold\"\r\n\r\n0.5\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/v1/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=\"device\"\r\n\r\napi\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\napollo-4-5-2026-03-26\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"threshold\"\r\n\r\n0.5\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/v1/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=\"device\"\r\n\r\napi\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\napollo-4-5-2026-03-26\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"threshold\"\r\n\r\n0.5\r\n-----011000010111000001101001--")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aurigin.ai/v1/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=\"device\"\r\n\r\napi\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\napollo-4-5-2026-03-26\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"threshold\"\r\n\r\n0.5\r\n-----011000010111000001101001--"

response = http.request(request)
puts response.read_body

{
  "prediction_id": "pred_9b6ff057a7f7",
  "global": {
    "score": 0.975,
    "confidence": 0.95,
    "result": "spoofed",
    "reason": null
  },
  "segments": [
    {
      "start": 0,
      "end": 5,
      "scores": [
        0.98
      ],
      "confidence": 0.96,
      "result": "spoofed"
    },
    {
      "start": 5,
      "end": 10,
      "scores": [
        0.97
      ],
      "confidence": 0.94,
      "result": "spoofed"
    }
  ],
  "model": "apollo-4-5-2026-03-26",
  "processing_time": 1.23,
  "audio_duration": 10,
  "warnings": []
}

Authorizations

x-api-key

string

header

required

Body

Provide either a direct file upload or a presigned URL. Include device to tag the caller and optionally choose a model.

file

required

device

enum<string>

Optional device type making the request

Available options:

macos,

windows,

web_app,

api

model

enum<string> | null

Optional model version to run. Defaults to the latest available model (apollo-4-5-2026-03-26). apollo-4-2026-01-16 remains available for backwards compatibility.

Available options:

apollo-4-5-2026-03-26,

apollo-4-2026-01-16

prediction_id

string

Optional custom prediction identifier

silence_threshold

number

default:80

Maximum silence percentage allowed per segment before it is skipped (0.0-100.0). Segments where silence exceeds this threshold are excluded from model inference. Lower values are stricter (skip more segments); higher values are more permissive. Set to 100 to analyze virtually all segments regardless of silence.

Required range: 0 <= x <= 100

threshold

number

default:0.5

Decision threshold for classifying audio as bonafide or spoofed (0.0-1.0). Lower values bias toward higher spoof detection; higher values reduce false positives. Confidence scores are derived from how far the raw score is from this threshold.

Required range: 0 <= x <= 1

Response

Global verdict plus per-segment predictions and confidence scores.

prediction_id

string

Unique identifier for this prediction

global

object

Show child attributes

segments

object[]

Array of segment-level predictions. Each segment represents a 5-second window of the audio.

Show child attributes

model

string

Model version used for prediction

processing_time

number<float>

Time taken to process the audio in seconds

audio_duration

number<float>

Duration of the audio file in seconds

warnings

string[]

Array of warning messages, if any

Introduction Create presigned upload URL