Detect AI-Generated Images with Forensic Analysis
We analyze physical camera fingerprints, sensor patterns, and compression signatures to determine if an image was captured by a real camera — or created artificially.
3 free analyses, no signup required
Can You Tell Real From AI?
Test your eye — guess which images were taken by a camera and which were generated by AI.
Six Layers of Forensic Analysis
We don't rely on a single test. Our platform cross-references multiple independent forensic signals to build a comprehensive authenticity profile.
AI Generation Detection
Identifies statistical fingerprints left by AI image generation models including DALL-E, Midjourney, and Stable Diffusion.
CFA Pattern Analysis
Detects Bayer color filter array patterns that are physically imprinted by real camera sensors during image capture.
JPEG Quantization (DQT)
Analyzes JPEG compression tables to match images against known camera and software signatures.
Noise Consistency
Examines sensor noise patterns and error levels to detect editing, splicing, or artificial generation.
Chromatic Aberration
Measures lens color fringing patterns that are characteristic of real optical systems.
EXIF Metadata
Parses camera information, capture settings, and timestamps embedded at the moment of capture.
Start Analyzing Today
Try it free, no credit card required. Upgrade when you're ready.
No signup needed
- 3 image analyses
- Full forensic report
- All 6 analysis methods
With signup
- 10 free credits
- Analysis history
- PDF report downloads
50 reports
- 50 image analyses
- All forensic methods
- Priority processing
Early access pricing — enjoy discounted rates during our beta period.