Get rid of duplicate photos and organize your image collections. Free up valuable disk space.
AI algorithms to compare photos and find similarities the way a real person would do.
DPF will find similarities between image formats. Detect rotated, flipped, resized, or edited pictures. Supports over 340 photo formats, including RAW, HEIC/HEIF, JPG, PNG, GIF, CRW, CR2, CR3, DNG, PSD, WebP and many more. It will not miss a single duplicate photo - no common duplicate cleaner can do that.
Scan unlimited number of images and drives. Scan folders, disks, removable hdd and ssd flash drives, or network shares. Remove duplicate photos in Adobe Lightroom. Complete photo deduplication tool that will help you to keep an organized image library.
Find similar images or slightly edited photos. DPF Artificial Intelligence "looks" for similarities.
Finding duplicated photos that are rotated, or even skewed scanned photos is not an issue.
Identify flipped photos both horizontal and vertical.
Years of development
Supported Image Formats
A good image analysis algorithm is the most important part of a good duplicate image finder tool. It should be able to find similar images too.
As finding similar and duplicate photos requires image decoding, the more image formats a tool supports the more duplicate photos it can find.
Options for filtering files, settings "source" folders, excluding files or folders, makes it easier to complete more complex tasks.
Multiple actions for the listed duplicate photos should be supported in order to remove or backup the duplicates.
Features to compare two or more folders or search for similar photos by sample images. Options to synchronize photo folders or merge new images to existing photo library.
High performance is extremely important in image analysis as the amounts of data are huge. A slow tool may need days to compare even several thousand images.
Photo duplicate cleaner is a dedicated tool for finding duplicate images. In order to understand how it work you should know how a digital photo is stored.
A digital photo is represented by dots with different colors named pixels. The count of the horizontal and vertical pixels determines the resolution of the picture. As the quantity of those pixels is large they are usually compressed when stored in a file and decompressed when they have to be displayed.
The different file formats have different way of compression and different way of storing those pixels. That is why the same image stored in different file formats has totally different data representation on the storage.
This is the reason why a standard duplicate file finder can not identify duplicate images even if they are absolutely identical and stored in different file formats - because they compare the file data instead of decoding that data and comparing the actual photo that it represents. They do that because it is simpler and does not require additional effort. On the contrary a dedicated duplicate image finder tool has to include code for decoding every image format. That is why a photo duplicate finder is a much more sophisticated and advanced tool.