About Our Technology
Our fake photo detector is a cutting-edge tool designed to help users identify whether an image is AI-generated or an authentic photograph. As AI-generated imagery becomes increasingly sophisticated and widespread, the ability to distinguish between real and synthetic images is more important than ever.
Our Mission
Our mission is to provide accessible, accurate tools for image verification in an era where visual media can no longer be taken at face value. We believe in transparency and education about AI-generated content, helping users make informed decisions about the images they encounter online.
How Our Technology Works
Our detector employs multiple analysis techniques to evaluate images:
Metadata Analysis
We examine image properties, dimensions, and format information that can reveal clues about an image's origin. AI-generated images often have specific metadata patterns or missing information compared to camera-captured photos.
Noise Analysis
Natural photographs contain specific noise patterns from sensors and environmental conditions. AI-generated images typically have different noise characteristics that our algorithms can detect.
Compression Analysis
We analyze how an image responds to compression, which differs between AI-generated and authentic photographs.
Authenticity Analysis
This technique looks for patterns and regularities that are common in AI-generated images but rare in natural photographs.
Error Level Analysis (ELA)
ELA helps identify areas of an image that have been modified or generated by examining compression differences. Our visualization highlights these areas, making it easier to spot potential AI manipulation.
Color Histogram Analysis
AI-generated images often have different color distributions compared to natural photographs. Our tool visualizes these distributions to help identify synthetic images.
Limitations
While our detector is advanced, it's important to understand its limitations:
- AI generation technology is constantly evolving, making detection an ongoing challenge
- Highly sophisticated AI-generated images may be difficult to detect with current techniques
- Results should be considered as guidance, not definitive proof
- Some authentic photographs may have characteristics that trigger false positives
Future Development
We are continuously improving our detection algorithms and adding new analysis techniques as AI technology evolves. Our goal is to stay at the forefront of AI image detection, providing users with the most accurate tools possible.