Smart / Local Tools
Find blurry photos in a batch.
Drop in a folder-sized selection of photos, measure local edge detail, and surface the softest-looking frames first without uploading them.
What the blur score can tell you
The tool looks at fine edge detail across each image. Camera shake, missed focus and motion blur often reduce that detail, so genuinely soft frames tend to fall toward the bottom of the score range.
What it cannot tell you
A technically soft image can still be the best photograph. Portraits with smooth backgrounds, intentional motion, fog, shallow depth of field and heavily compressed images can all score lower. Use the result as a fast culling aid, not an instruction to delete files.
Best way to use it
Start with the default cutoff, review anything marked borderline, then move the cutoff only if your batch is consistently sharper or softer than average. Keep originals until you have made the final selection yourself.