Brush over unwanted captions, timestamps, labels, or visual notes and let AI rebuild the background around the selected area.
Open Text Cleanup
Remove distracting captions, old date stamps, labels, and visual notes from images you own. Mask the area once and let AI rebuild the surrounding texture.
Clean sales stickers, small labels, scuffs, and distracting marks before publishing product images, thumbnails, social ads, or presentation assets.
Clean old camera timestamps and date labels from scanned photos, travel images, and archive shots.
Remove visual notes, labels, and UI fragments from screenshots you own before sharing them.
Repair small unwanted stickers, temporary labels, and pricing marks on product photos.
Take out captions or overlay text so a design can be reused in a different campaign.
Choose the image with unwanted text, captions, labels, or timestamps.
Use rectangle for straight text blocks or brush for irregular labels and curved marks.
Let AI rebuild the marked area, then compare before and after before downloading.
You can remove text, date stamps, labels, signs, and captions from images you own or have permission to edit.
The cleanup model repairs the marked area using surrounding texture, which usually looks more natural than blur or clone tools.
Yes. The Cleanup Studio includes a before/after comparison slider after generation.
The project does not store original uploaded images by default. Safety checks record moderation metadata only.