Clean Multiple Images Fix a whole set of photos at once

When batch removal works — and when it does not

Batch removal applies one mask to many images. That is exactly right when the thing to remove does not move: a product stand in an identical setup, a dust spot on the sensor that appears in every frame, an overlay you placed in the same corner of every export, a fixed studio prop. It is the wrong tool when the object moves between frames — then “Review one by one” is faster: each image opens in the editor with your tools, quality and mask settings kept, and you save and move on.

Recurring dust spots

Dust on a camera sensor sits in the same place in every frame, while a dark detail in one photo does not. Find recurring spots looks for small spots in every image, lines them up by position, and proposes only the ones that appear in at least three images. You untick any that are real details, then one press repairs them across the whole set with the texture engine — no AI download and no mask to draw.

Same mask or relative mask

Same mask uses identical pixel coordinates and skips any image whose size differs, telling you which. Relative mask scales the mask to each image's dimensions, for sets that were exported at different sizes from the same frame.

Memory and speed

Images are decoded, cleaned and encoded one at a time, and each is released before the next is opened — so a hundred photos need no more memory than one. Results stay in the tab until you download them individually or as a ZIP. Closing the tab discards everything.