FakeImageDetector was founded on a simple but critical mission: to empower people with reliable tools for verifying image authenticity in an age of increasingly sophisticated synthetic media. Everyone deserves access to accurate, easy-to-use detection technology — without requiring technical expertise or expensive software.
In a world where visual misinformation spreads faster than ever, detection technology must be accessible, free, and effective.
Our detection system represents years of research in computer vision, forensic analysis, and machine learning:
Custom-trained neural networks developed on millions of images across different generation methods and editing tools. Continuously retrained as generative technology evolves.
Digital forensics including frequency domain analysis, statistical anomaly detection, and pixel-level examination to identify manipulated and spliced images.
Metadata, compression artifacts, color distributions, and frequency characteristics analyzed in parallel for comprehensive forgery detection.
We never store, save, or retain your images. They are processed for detection only and immediately discarded. No image database. No training data collection. No exceptions.
Images are never saved on our servers or used to train models or build databases.
All data protected with end-to-end encryption during analysis.
We collect only anonymous usage statistics. No personal data harvesting.
PhDs in computer vision with extensive publications in peer-reviewed venues on image forensics and generative model detection.
Experience building scalable systems at major tech companies. Detection algorithms optimized for speed and accuracy.
Obsessed with making sophisticated technology accessible. Every interface decision prioritizes clarity and usability.
No detection system is perfect. We are committed to transparency:
We publish our accuracy benchmarks and testing methodologies for public scrutiny.
We acknowledge edge cases and scenarios where detection confidence may be lower.
We engage with researchers, journalists, and policymakers on responsible development.
We are exploring partnerships with media organizations, platforms, and institutions serious about digital authenticity. Get in touch to discuss collaboration opportunities.