Drop a batch of images and the tool identifies duplicates and near-duplicates using perceptual hashing. It catches copies even if they've been resized or slightly edited.
Useful for cleaning up photo libraries, deduplicating product image catalogs, or finding reposted content. Much smarter than just comparing file sizes — it actually looks at what's in the image.
It uses perceptual hashing (pHash) to create a fingerprint for each image. Similar images get similar hashes, even after resizing or compression.
Yes. Perceptual hashing is tolerant of minor changes like resizing, recompression, and small color adjustments.
As many as your browser can handle. Each image is hashed and compared against all others to find matches.