My iPhone library grew to thousands of photos, and many of them were basically the same shot: multiple takes of the same pose, bursts, and old screenshots.
Most duplicate cleaners I tried only caught exact pixel duplicates, so I still had to scroll through everything myself.
SnapSift scans the library on-device, groups photos that look alike, and helps you keep one best shot from each group.
- Scans the whole library in under a minute
- Shows similar photos side by side
- Picks a likely “best” photo in each group
- Lets you delete the extras quickly
Everything runs locally using Apple’s Vision framework. Photos never leave the device, there is no server and no cloud.
You can scan for free and delete up to 25 photos per month on the free tier. Pro unlocks unlimited cleanup.
I would like to hear how well the grouping works on your library, and any cases where the “best pick” is clearly wrong.
I am a car spotter and I take a lot duplicate photos and videos I will use it. will say it also to may friends. good luck . saw also the landing page. really liked the theme and the app screen shot demos. I would think that adding some scrolling animations would make the site even better
My iPhone library grew to thousands of photos, and many of them were basically the same shot: multiple takes of the same pose, bursts, and old screenshots.
Most duplicate cleaners I tried only caught exact pixel duplicates, so I still had to scroll through everything myself.
SnapSift scans the library on-device, groups photos that look alike, and helps you keep one best shot from each group.
- Scans the whole library in under a minute
- Shows similar photos side by side
- Picks a likely “best” photo in each group
- Lets you delete the extras quickly
Everything runs locally using Apple’s Vision framework. Photos never leave the device, there is no server and no cloud.
You can scan for free and delete up to 25 photos per month on the free tier. Pro unlocks unlimited cleanup.
I would like to hear how well the grouping works on your library, and any cases where the “best pick” is clearly wrong.
App Store: https://apps.apple.com/us/app/snapsift/id6759221222 Landing page: https://snapsift.app