The best photo culling software in 2024: AI apps to help you find your best shots

Now that we’re long freed from the constraints of shooting on rolls of film we face the problem of returning from a shoot with hundreds of photos to peruse. If you’re a ‘rapid fire’ photographer like me then it will increase the chances of capturing a great shot.  However, the downside to this approach is that we have to scroll through hundreds of shots to find images worth editing and sharing. Apps such as Lightroom Classic help enable us to manually assign star ratings or add color labels as we scroll through our shots so we can filter the images later to find high-rated shots.  However, we may spend more time in this ‘quality control’ stage of our photographic workflow than we do in the far more enjoyable stage of image editing.

Fortunately, there are a collection of photo culling apps that reduce the time and tedium of manually searching for the best shots.  These apps use machine learning to automatically weed out shots that we don’t need to bother with, such as those which are out of focus or are motion blurred due to camera shake. Some of these AI-enhanced apps can also spot the shots where a subject has been caught in mid-blink,  while others can also use AI to gauge the emotion of a photo so that you can add higher start ratings to smiling shots and lower ratings to pouts (or vice versa!).  Thanks to AI assistance these apps will help speed up the culling process so that you can ‘cut to the chase’ and spend your time on editing and sharing your best images.

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George Cairns

George has been freelancing as a photo fixing and creative tutorial writer since 2002, working for award winning titles such as Digital Camera, PhotoPlus, N-Photo and Practical Photoshop. He's expert in communicating the ins and outs of Photoshop and Lightroom, as well as producing video production tutorials on Final Cut Pro and iMovie for magazines such as iCreate and Mac Format. He also produces regular and exclusive Photoshop CC tutorials for his YouTube channel.