Advanced AI Image Detector.

curl -X POST https://elpis.ae/ai-detect-api \
  -F "image=@/path/to/photo.jpg"

const formData = new FormData();
formData.append('image', fileInput.files[0]);

const response = await fetch('https://elpis.ae/ai-detect-api', {
  method: 'POST',
  body: formData
});
const data = await response.json();
console.log(data.verdict_label, data.confidence + '%');

import requests

url = "https://elpis.ae/ai-detect-api"
files = {"image": open("sample.jpg", "rb")}

response = requests.post(url, files=files)
data = response.json()

print(f"Verdict: {data['verdict_label']} ({data['confidence']}%)")

$ch = curl_init('https://elpis.ae/ai-detect-api');
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_POSTFIELDS => [
        'image' => new CURLFile('/path/to/image.jpg')
    ]
]);
$response = curl_exec($ch);
$data = json_decode($response, true);
echo "Verdict: " . $data['verdict_label'];

const axios = require('axios');
const FormData = require('form-data');
const fs = require('fs');

const form = new FormData();
form.append('image', fs.createReadStream('sample.jpg'));

axios.post('https://elpis.ae/ai-detect-api', form, {
  headers: form.getHeaders()
}).then(res => console.log(res.data));