Yes, to a degree. Some photo apps can analyze images and flag likely issues, but the results are only approximate because creative photos often break the usual “rules.” Photoshop Elements has an auto-analysis feature that can detect things like blur and faces, though users report it isn’t especially reliable for all cases.

For blur specifically, it’s also possible to automate detection with computer-vision tools such as OpenCV; for example, a simple Python script can measure image sharpness and sort files into “blurred” and “ok” groups.

That said, the most practical workflow mentioned was still manual culling in Lightroom: review images quickly at full-screen size, mark obvious rejects, then refine the remaining set with flags, ratings, or color labels. For around 1,000 photos, this is usually fast and gives better results than trusting automation alone.

So: yes, limited automatic pre-screening exists, especially for blur, but it’s best used as a rough aid rather than a replacement for manual selection.