Image Duplication Checker — Proof of Concept

Technical prototype portfolio — demonstration environment

No AI step — every real pair of images is compared using a real perceptual hash (a difference hash) computed from each image's own real pixel data, checked against every other image in every real orientation (as uploaded, flipped, rotated 180°). A pair below a real distance threshold is flagged; nothing here is a guess about visual similarity, it's a real bit-level comparison of real computed fingerprints. Do not submit personal, confidential or client-owned images — this public demo only runs the bundled samples below. Contact Chrisian to discuss a controlled evaluation.