Know if an image is real, manipulated, or AI-generated.
Pixel-level forensic analysis detects edits invisible to the human eye. From subtle retouching to full AI generation, Reality AI catches manipulation across the entire spectrum.
You can't trust what you see
Modern image editing tools and AI generators produce output that's indistinguishable from genuine photos to the human eye. A manipulated insurance claim photo, a doctored legal exhibit, or an AI-generated ID document can look completely authentic. Manual review doesn't scale and can't catch sophisticated edits.
Forensic analysis at API speed
Reality AI examines every pixel. Our models detect compression artifacts from re-saving, noise pattern inconsistencies from splicing, frequency domain anomalies from AI generation, and metadata discrepancies from editing. Results in under 2 seconds.
Full spectrum coverage
AI-generated images (GAN, diffusion, transformer-based). Spliced composites where elements are pasted from different sources. Cloned regions where parts of an image are duplicated to add or hide content. Retouched photos with subtle edits to color, texture, or geometry. Metadata manipulation including stripped or fabricated EXIF data.
What we analyze
Compression Forensics
Detects double-compression artifacts that reveal an image has been edited and re-saved.
Noise Analysis
Maps the noise fingerprint across the image. Spliced regions show different noise patterns.
ELA (Error Level Analysis)
Highlights regions saved at different quality levels, revealing edits in JPEG images.
Frequency Domain
Analyzes spectral patterns that differ between camera-captured and AI-generated images.
Clone Detection
Identifies copy-pasted regions within an image used to fabricate or conceal content.
EXIF Validation
Verifies metadata consistency: camera model, GPS, timestamps, and software signatures.