Short Story: Scanning for duplicates

You want to search for duplicates or similar images? Similarly - in the sense of rotated, mirrored or images with a logo?

So, you made the right choice by choosing DoublePics, because DoublePics scans the elements and compares the material differences/relationship in the image element itself and not just the pure hash.

Why the comparison of the hash value does not really help? It's simple: if only one pixel is changed within the image element, the hash value is a completely different and a search is powerless. There will be found only completely identical pictures.

The following images would NOT be found with a pure hash comparison - but of course with DoublePics:


To scan for duplicates various options are available:



Image comparison:


Setting, to control the tolerance limit for color discrepancies of an image element. Through a correspondingly higher value, image elements are found, whose colors were extremely varied.


Controls the maximum tolerance for image interferences within an image element. Image intereferences are things like a frame, image noises, various filter effects, etc.


Controls how strongly an image element may differ from the comparative source.

Image orientations to be checked

With this option, you can include mirrored image elements into the search. You may also search mirrored image elements only.

Speed optimizations:

Image aspect ratio

Takes the aspect ratio of image elements into account within a scan/search.

Movie grouping

This option enables the view of the movie frame grouping. The controller determines at what percentage of agreement between two movies, the matches will be counted as a hit

Pixel amount difference

Sets a limit for the minimum difference. Image elements, whose number of pixels are below this limit won't be considered in the search.

Same folder exclusive search

Compares only images to each other, which are located in the very same folder.

Thumbnail difference

This optimization may reduce the search time drastically, because only small images will be compared with the bigger ones. Unwanted thumbnails can be localized real quick.