DISABLE APP _ Fake Face Detection

In a world where authenticity matters, our AI Detect Fake Face tool helps you identify and verify genuine faces in images. Using cutting-edge artificial intelligence, it quickly and accurately detects fake faces, giving you confidence in the content you encounter.

Try it for FREE today and protect your digital integrity!

If you are a business and need more than this, please Contact Us.

DISABLE APP _ Fake Face Detection

In a world where authenticity matters, our AI Detect Fake Face tool helps you identify and verify genuine faces in images. Using cutting-edge artificial intelligence, it quickly and accurately detects fake faces, giving you confidence in the content you encounter.

Try it for FREE today and protect your digital integrity!

If you are a business and need more than this, please Contact Us.

HTTP Method: Post

Endpoint

https://aisfun.io.vn/api/predict-url

Usage and Code Samples

Curl
Python
Java

curl --location --request POST 'https://aisfun.io.vn/api/predict-url' \
--header 'token: < your private token >' \ (optional at the present time)
--header 'Content-Type: application/json' \
--data-raw '{
    "url": "< your_image_url >",
    "type": "image"
}'

import requests
url = "https://aisfun.io.vn/api/predict-url"
headers = {
    'token': '< your_private_token >' (optional at the present time),
    'Content-Type': 'application/json'
}
data = {
    "url": "< your_image_url >",
    "type": "image"
}
response = requests.post(url, headers=headers, json=data)
print(response.json())

import okhttp3.*;
public class ApiRequest {
    public static void main(String[] args) throws Exception {
        OkHttpClient client = new OkHttpClient();
        // JSON body content
        String json = "{ \"url\": \"\", \"type\": \"image\" }";
        // Create a RequestBody
        RequestBody body = RequestBody.create(MediaType.parse("application/json"), json);
        // Build the Request
        Request request = new Request.Builder()
            .url("https://aisfun.io.vn/api/predict-url")
            .post(body)
            .addHeader("Content-Type", "application/json")
            .addHeader("token", "your_private_token") // Optional if required
            .build();
        // Execute the Request
        Response response = client.newCall(request).execute();
        System.out.println(response.body().string());
    }
}

Header Parameters

Name	Description	Value	Required
token	string	'< your_private_token >'	No (at the present time)
content-type	fix	"application/json"	Yes

Body parameters

Name	Description	Value	Required
url	string	"< your_image_url >"	Yes
type	string	"image"	No

Response Parameters

Name	Description	Value example (Percent %)
confidence	Integer	100
predict	string	"Fake"