InVID-WeVerify Verification Plugin
The swiss-army knife of digital forensics for debunking fake news and synthetic media.
Advanced digital image forensics for evidence-based manipulation detection and metadata analysis.
FotoForensics is a specialized digital forensic analysis tool that serves as a cornerstone for OSINT researchers, law enforcement, and digital archivists. In 2026, it remains one of the few platforms that avoids 'black box' AI predictions, instead providing raw diagnostic visualizations like Error Level Analysis (ELA). This methodology allows analysts to identify intentional modifications by highlighting discrepancies in JPEG compression levels across an image. The technical architecture focuses on non-destructive analysis, processing image headers, EXIF data, and pixel-level noise patterns to reveal hidden 'parasites' (embedded data) and cloning artifacts. Unlike generative AI detectors, FotoForensics is designed for deep-dive investigations where the 'why' and 'how' of an edit are more important than a simple 'real or fake' score. The platform's 2026 market position is solidified as the primary verification layer for professional investigators, providing the granular data required for legal and journalistic standards that automated AI tools often fail to meet.
Identifies areas within an image that are at different compression levels by intentionally re-saving the image at a known rate and calculating the difference.
The swiss-army knife of digital forensics for debunking fake news and synthetic media.
Advanced mesoscopic deep learning for automated deepfake and facial manipulation detection.
Accelerate digital investigations with AI-driven evidence recovery and cross-platform artifact analysis.
Advanced Forensic Analysis for Digital Image Authenticity and Metadata Integrity.
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Extracts full header information, including GPS coordinates, camera serial numbers, and editing history tags.
Adjusts color and brightness levels dynamically to highlight faint artifacts or 'ghost' images in dark areas.
Scans the file binary for non-image segments like thumbnails, ICC profiles, or hidden data blocks.
Calculates the difference between the image and various JPEG quality settings to find layers added at different times.
Analyzes the light direction and intensity across pixels to ensure lighting consistency.
Visualizes the 8x8 pixel grid used by JPEG compression to find disruptions caused by cropping or rotating.
Confirming if a submitted photo from a conflict zone has been digitally altered before publication.
Registry Updated:2/7/2026
Detecting if a claimant used Photoshop to enhance damage on a vehicle or property.
Identifying if a profile picture is an AI-generated face or a stolen photo.