Forensic-grade duplicate detection, error level analysis, and copy-move detection for research papers and audit documents.
Scan thousands of images and instantly find exact duplicates grouped by content hash
Extract all embedded images from PDF documents with format detection and metadata
Purpose-built for academic integrity officers, journal editors, and forensic auditors.
Multi-stage pipeline using SHA-256, perceptual hashing, and visual comparison. Finds duplicates even after resizing, cropping, or re-compression.
Extract all embedded images from PDF documents with a single click. Supports JPEG and PNG with lossless extraction.
Detect tampering by analyzing JPEG compression artifacts. Manipulated regions appear as bright spots in the ELA visualization.
Identify copy-pasted regions within a single image using block-based DCT matching with visual overlay highlighting.
Compare any two images with slider, side-by-side, and diff views. RMSE distortion metric with instant similar/different verdict.
Auto-generate professional audit reports with thumbnails of flagged duplicates and similarity scores. Ready to share with stakeholders.
Choose a folder of images or a PDF document to analyze.
Picspect runs multi-stage analysis: hashing, perceptual comparison, and visual verification.
Browse exact duplicates, similar pairs, and run ELA or copy-move detection on flagged images.
Generate a PDF audit report with all findings, ready for review or submission.
Start for free. Upgrade when you need more.
Looking for a VisPics or FotoForensics replacement? Picspect is a modern, offline desktop tool with forensic-grade duplicate detection, PDF image extraction, and ELA — built with Rust for speed and privacy.