AI Generated Image Detection API

AI Generated Image Detection API

The AI-Generated Image Detection API is a powerful tool that can accurately determine if an image is real or artificially generated. With its advanced image recognition capabilities, this API can help to detect the source of images, enabling users to quickly and easily identify the authenticity of visual content. Its sophisticated algorithms make it an ideal solution for a wide range of applications, including content moderation, digital forensics, and image classification.

API description

About the API:

The AI Generated Image Detection API is a powerful tool that uses cutting-edge machine learning algorithms to accurately determine the authenticity of an image. This API can identify if an image is artificially generated or if it is a genuine image captured by a camera. It is an essential tool for content moderators, digital forensic experts, and image classification specialists.

With the explosion of digital content on the internet, it has become increasingly challenging to differentiate between real and fake images. The rise of deepfakes and other manipulated images has made it crucial to have a reliable system that can detect such content. The AI Generated Image Detection API uses a combination of image analysis, machine learning, and computer vision techniques to determine the origin of an image.

One of the key features of this API is its ability to identify the source of an image. It can analyze an image and identify if it was taken by a particular camera or device. This feature makes it an invaluable tool for digital forensic experts, who use it to investigate crimes that involve the use of images as evidence.

The API can also identify if an image has been tampered with or manipulated in any way. It can detect if an image has been digitally altered by analyzing the metadata, compression artifacts, and other factors that indicate image tampering. This feature is particularly useful for content moderators, who use it to identify and remove fake images from social media platforms, news websites, and other online sources.

Another essential feature of this API is its accuracy. The machine learning algorithms used in the API are trained on a vast dataset of real and fake images, which enables it to make highly accurate predictions. The API can also adapt to new types of manipulated images, making it a reliable tool for detecting emerging forms of image manipulation.

In conclusion, the AI Generated Image Detection API is a powerful tool for detecting the authenticity of images. Its advanced image analysis techniques, machine learning algorithms, and computer vision capabilities make it an essential tool for content moderators, digital forensic experts, and image classification specialists. Its ability to identify the source of an image and detect image manipulation makes it an indispensable tool for anyone dealing with visual content on the internet.


What your API receives and what your API provides (input/output)?

Pass any image URL of your choice, and the API will detect if it's AI-generated or if its real, with a confidence score. 


What are the most common uses cases of this API?

  1. Content Moderation: Social media platforms and online forums use this API to detect fake images and prevent their spread. It is particularly useful in identifying deepfakes, which are sophisticated manipulated images that can cause harm or spread misinformation.

  2. Digital Forensics: Law enforcement agencies use the API to investigate crimes that involve images as evidence. The API can identify the source of an image and whether it has been tampered with, helping investigators to build a stronger case.

  3. Image Classification: Image classification systems that use the API can detect whether an image is genuine or fake. This is particularly useful in applications such as fraud detection, where images may be used to verify identities.

  4. Journalism: News agencies can use the API to verify the authenticity of images before publishing them. This helps to prevent the spread of misinformation and ensures that news stories are based on accurate information.

  5. E-commerce: Online retailers can use the API to verify the authenticity of product images. This helps to prevent counterfeit products from being sold online and ensures that customers receive the product they expect to receive.


Are there any limitations to your plans?

Besides the number of API calls, there are no other limitations.

API Documentation


Use this endpoint to detect if the image is AI generated or not. 

Where 0 is the lowest value and 1 is the highest. This means that if the value is closer to 1, the image is probably AI generated. 


Detect - Endpoint Features
Object Description
url [Required] Image url to analyze.
Test Endpoint


    "status": "success",
    "request": {
        "id": "req_g86E8psHHXgRYyPZcHGq1",
        "timestamp": 1713893578.412675,
        "operations": 1
    "type": {
        "ai_generated": 0.98
    "media": {
        "id": "med_g86ETpVhwuPO0FU8dP6Ze",
        "uri": ""


curl --location --request GET '' --header 'Authorization: Bearer YOUR_API_KEY' 


API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the AI Generated Image Detection API REST API, simply include your bearer token in the Authorization header.


Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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