AI Object Removal: Before and After Examples

The fastest way to judge an AI object remover is to look at results. This post collects real before and after examples from less.pictures, grouped by the three scenarios people clean up most: travel photos, product shots, and home photos.

Every example below was done with the same workflow: upload, brush the unwanted area, confirm, download. No manual retouching after the AI pass.

Travel photo: removing people and signs

Before: a museum courtyard with a couple standing in the foreground and a directional sign on the right.

After: the same courtyard, empty. The stone paving continues through both spots where the couple stood, and the lawn edge behind the sign is intact.

Why it worked: the courtyard is a repeating tile pattern with consistent lighting, which is the friendliest possible background for AI reconstruction. Two cleanups were used: one for the couple, one for the sign. Working on one subject at a time keeps each fill small and accurate. More on this scenario in how to remove a person from a photo.

Product photo: removing a tag and a clip

Before: a leather handbag on a stone surface with a blank price tag hanging from the handle and a black binder clip sitting in the frame.

After: the same bag, tag and clip gone. The handle edge where the tag string hung is clean, and the stone texture under the clip continues naturally.

Why it worked: tags and clips sit on simple surfaces, so the AI only had to continue leather grain and stone texture. The one spot that needed attention was the contact point where the clip met the stone: a small second pass cleaned up the shadow. Sellers doing this at scale should read how to clean up product photos.

Home photo: removing a tripod and a box

Before: a living room with a camera tripod by the wall and a cardboard box on the floor.

After: the same room with both gone. The baseboard runs unbroken behind where the tripod stood, and the rug texture fills the space the box occupied.

Why it worked: the tripod was thin but tall, so a narrow brush along each leg did the job without touching the wall art behind it. The box sat on a repeating rug weave, which the AI continues well. Thin objects and tight selections are covered in how to remove an object from a photo.

What these examples have in common

Three habits showed up in every good result:

1. Complete selections. The object, its shadow, and its contact points all went into the brush area.
2. One subject per pass. Smaller fills reconstruct more accurately than one giant selection.
3. A final zoom check. Straight lines like baseboards, horizons, and tile edges got a quick review before download.

Try it on your own photo

Examples are reassuring, but your photo is the real test. Open the tool, upload, brush, and see the before and after yourself. The first successful cleanup is free, and a failed attempt costs nothing.