Find Duplicate Images

Finding duplicates by how images look

Exact-match tools only catch files that are byte-for-byte identical, which misses the most common duplicates: the same photo saved twice at different sizes, exported as both a JPG and a PNG, or re-compressed by a chat app. This finder compares how images look, not their raw bytes, so those near-duplicates are caught too.

It works by computing a small perceptual hash — a compact visual fingerprint — for each image, then grouping images whose fingerprints are close. A sensitivity slider lets you decide how similar 'duplicate' means: stricter to catch only true copies, looser to surface visually related shots.

How to find duplicate images

1. Add your images. Drop a whole set onto the tool, or pick multiple files at once.
2. Let it fingerprint. Each image is hashed locally in your browser as it loads.
3. Read the groups. Images that look alike are grouped together and badged as duplicates.
4. Adjust sensitivity. Use the slider to make matching stricter or looser, and remove any image from the set.

Stricter vs looser matching

A low tolerance groups only near-identical copies — ideal for cleaning out true duplicates. A higher tolerance also groups visually similar shots, like burst photos or lightly edited versions, which is handy when you want to pick the best of a set.