Detect Fake Images with Confidence

Our advanced AI algorithms can identify manipulated and AI-generated images with high accuracy, helping you distinguish fact from fiction in a world of digital deception.

Fake Image Detector

Image Analysis Tool

Upload an image to analyze its authenticity. Our AI will determine if the image is real or has
been manipulated.

Upload or drop an image to verify

Supports JPG, PNG, WEBP (Max 10MB)

How It Works

Our advanced AI technology makes fake image detection simple and accurate

Upload Your Image

Simply drag and drop or click to upload any image you want to analyze. We support all major image formats.

AI Analysis

Our advanced AI algorithms analyze the image for manipulation markers, metadata inconsistencies, and generation patterns.

Deep Inspection

We examine pixel patterns, metadata, and other technical aspects to identify signs of manipulation.

Get Results

Receive detailed results showing whether the image is authentic or manipulated, along with confidence scores.

Powerful Features

Our image analyzer uses cutting-edge AI to detect manipulated images with precision and speed.

Upload Your Image

Simply drag and drop or click to upload any image you want to analyze. We support all major image formats.

Detailed Analysis

Get comprehensive insights into why an image is classified as real or fake.

Instant Results

Receive analysis results within seconds, no waiting required.

Multiple Formats

Support for all common image formats including JPEG, PNG, and WebP.

Confidence Scoring

Every analysis includes a confidence score to help you make informed decisions.

Share Results

Easily share analysis results with others through direct links or downloads.

Understanding Fake Images

Learn how our technology detects manipulated images and why identifying fakes is crucial
in today’s digital world.

Why This Matters

With the rise of AI image generators and sophisticated editing tools, distinguishing real from fake images has become increasingly difficult and more important than ever.

Misinformation

Fake images can spread misinformation and manipulate public opinion on critical issues.

Digital Trust

As fake images become more convincing, the trustworthiness of digital media is being eroded.

AI Ethics

Developing detection tools helps establish ethical standards for AI-generated content.

Frequently Asked Questions

Our fake image detector uses a combination of computer vision algorithms and deep learning models. It analyzes patterns in the pixels, examines metadata, and looks for inconsistencies that indicate manipulation. The AI has been trained on millions of authentic and manipulated images to reliably identify telltale signs of fakery.

Our system can detect a wide range of image manipulations, including AI-generated images (from tools like DALL-E, Midjourney, and Stable Diffusion), Photoshop manipulations, face swaps, and other digital alterations. It can identify both subtle manipulations and complete fabrications.

Our system achieves over 95% accuracy in controlled tests. However, as image generation technology evolves, we continuously update our models. The confidence score provided with each analysis helps you understand the reliability of each result.

Several factors can lead to false positives: unusual lighting conditions, heavy image compression, artistic filters, or unique camera effects. Images that have been extensively edited (even for legitimate purposes like color correction) may also trigger detection algorithms.

While our system is highly effective at detecting current AI-generated images, no detection system can guarantee 100% accuracy. As AI image generation improves, the challenge of detection also increases. We continuously update our models to keep pace with new generation techniques.

Detection Technology Evolution

Image detection technology is in a constant race with manipulation tools. As AI-generated images improve, detection methods must also advance. Our models are regularly updated to detect the latest generation techniques.