![]() ![]() In the end, I only saved 7 GBs by deleting only exact duplicates out of 128 GBs. I opted instead to manage my photos manaually but this sort of utility could save hours, if not 10s to 100s of hours for busy professionals. I tested out the auto duplicate detection, but found that it was a little more liberal than I wanted. Photosweeper offers a suite of logic markers to identify which photos to keep. Anyone used to using a photo manager can dive in without much trouble. It only took seconds to figure out user interactions. ![]() As far as user-interfaces go, Photosweeper gets an A. Without much thinking, I adjusted the preview window sizes to maximum and started manually removing duplicates. With the tolerance ramped to maximum, only near identicals appeared as duplicates. I went fairly strict, as I wanted to cut out only exact duplicates, and rid myself of lower resolution/lower quality exports. When attempting to identify duplicates, Photosweeper lets you set the tolerance level. Photosweeper also works on videos, a nice bonus and worth a mention. The results appear in real time, you don’t have to sit and wait for the process to finish, you can start identifying duplicates in soon the query makes its first discovery. It took roughly 2 hours for it to munch through all the photos on my 2008 Mac Pro (2x 4-core 2.8 GHz, 14 GB of Ram) off my 2 TB HDD. With years and years of photos (23,000 to be exact), I worried that this process may range into the days. I added my Pictures folder and set the scan size to the maximum resolution (128 x 128). I noticed the rather large text suggesting I drag and drop my photos into Photosweeper. It took a moment of confusion as I assumed that I had to import each library one-by-one. On my first run (in typical user-interface developer fashion) I skipped most of the tutorial screens, eager to see what I could do. ![]() I’ve debated cleaning my Photo library prior but the task never quite made it on my “to-do” list, perpetually on my “Clean one day”. well, most of my “organization” I handled by drag and drop. Anything shot it the past three years has been managed by Lightroom, before that…. I had photos ranging from a Powershot A70, Canon 300d, iPhone 3G, 4 and 5, Panasonic GM-6 and some captures from a previous employer’s 7D. Like many, my library spans many years and many cameras. To add to the mix, I have an out-of-date version of Aperture and iPhoto, each with their own respective databases from years ago. It also doesn’t matter if you use iPhoto, Lightroom or Aperture or any combination of the three, Photosweeper is capable of finding any and every photo.įor my test, I used my own Photo library, largely in Lightroom 5 and some free floating files. It doesn’t matter if they’re different formats (JPG vs PNG vs RAW vs PSD), different resolutions, or even separate photos altogether that are remarkably similar. Rather than simply find exact matches, it instead creates thumbnail images for analysis and then identifies near-matches. Its a one trick pony but it performs this trick exceptionally well. Photosweeper’s aim is to find and destroy duplicates of photos. Despite the plethora of options„ there’s quite a vacancy in this space: Whatever your poison is, Lightroom, Aperture or even iPhoto, none of these do much in the way of duplicate detection (outside of exact duplicates). The tools we have are pretty good, allowing for quick edits, be it color correction, cropping or other (usually) non-destructive edits. Quite simply, we take too many photos to keep track of them manually. At this point in time, photo management is the new norm.
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