The AI-Generated Image Detection Model can help you determine if an image was entirely generated by an AI model, or if it is a real image. This model was trained on millions of artificially-created and human-created images spanning all sorts of content such as photography, art, drawings, memes and more.
The Model works by analyzing the visual (pixel) content of the image. No meta-data is used in the analysis. Tampering with meta-data such as EXIF data therefore has no effect on the scoring.
The Model was trained to detect images generated by the main models currently in use: Stable Diffusion, Stable Diffusion XL, MidJourney, Dall-E... Additional models will be added over time as they become available.
Stable Diffusion
DALL-E 3
MidJourney 5.2
Firefly
If you haven't already, create an account to get your own API keys.
Let's say you want to check the following image:
You can either upload a public URL to the image, or upload the raw binary image. Here's how to proceed if you choose to share the image's public URL:
curl -X GET -G 'https://api.sightengine.com/1.0/check.json' \
-d 'models=genai' \
-d 'api_user={api_user}&api_secret={api_secret}' \
--data-urlencode 'url=https://sightengine.com/assets/img/examples/example-prop-c1.jpg'
# this example uses requests
import requests
import json
params = {
'url': 'https://sightengine.com/assets/img/examples/example-prop-c1.jpg',
'models': 'genai',
'api_user': '{api_user}',
'api_secret': '{api_secret}'
}
r = requests.get('https://api.sightengine.com/1.0/check.json', params=params)
output = json.loads(r.text)
$params = array(
'url' => 'https://sightengine.com/assets/img/examples/example-prop-c1.jpg',
'models' => 'genai',
'api_user' => '{api_user}',
'api_secret' => '{api_secret}',
);
// this example uses cURL
$ch = curl_init('https://api.sightengine.com/1.0/check.json?'.http_build_query($params));
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$response = curl_exec($ch);
curl_close($ch);
$output = json_decode($response, true);
// this example uses axios
const axios = require('axios');
axios.get('https://api.sightengine.com/1.0/check.json', {
params: {
'url': 'https://sightengine.com/assets/img/examples/example-prop-c1.jpg',
'models': 'genai',
'api_user': '{api_user}',
'api_secret': '{api_secret}',
}
})
.then(function (response) {
// on success: handle response
console.log(response.data);
})
.catch(function (error) {
// handle error
if (error.response) console.log(error.response.data);
else console.log(error.message);
});
The API will then return a JSON response:
{
"status": "success",
"request": {
"id": "req_0zrbHDeitGYY7wEGncAne",
"timestamp": 1491402308.4762,
"operations": 1
},
"type": {
"ai_generated": 0.01
},
"media": {
"id": "med_0zrbk8nlp4vwI5WxIqQ4u",
"uri": "https://sightengine.com/assets/img/examples/example-prop-c2.jpg"
}
}
See our full list of Image/Video models for details on other filters and checks you can run on your images and videos. You might also want to check our Text models to moderate text-based content: messages, reviews, comments, usernames...
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