Captions and overlaid words
Remove captions from images or erase words from a picture when the text is part of the image pixels.
PHOTO CLEANUP WITH AI
To remove text from an image in bulk, select captions, labels, or other words baked into a photo and let EraseKit try to fill the area from nearby context. Reuse the selection across a matching set with Apply to All.
QUICK ANSWER
To remove text from an image, upload it, mark the full text and its edge, then run Erase object. For multiple images, Apply to All repeats the same relative selection, so the text should appear in a similar position in each photo.
HOW TO USE ERASEKIT
Choose a single-image edit or process a matching set with the same selection.
Add one or more PNG, JPG/JPEG, or WebP images to the editor.
On a representative photo, mark all the words and any outline or shadow you want removed.
For one image, choose Erase object and inspect the generated fill.
For a matching set, choose Apply to All to reuse the same selection and process the images; review each result before downloading.
BATCH EDITING
When captions or printed words stay in the same relative position across a set, select the text once and choose Apply to All. EraseKit reuses that selection at corresponding coordinates and processes the images; it does not read or track words. Group images with similar framing and placement, and edit any outliers separately.
Use Apply to AllPRACTICAL USES
Remove captions from images or erase words from a picture when the text is part of the image pixels.
Try removing text from an image background when a small label sits over a relatively simple area.
Clean up a distracting printed label or stray text while keeping the rest of the composition.
Small text on a simple background may be easier to fill than text covering icons or interface details.
WHY USE ERASEKIT
The editor fills a selected region without cropping the rest of the image.
You mark the text manually, which helps avoid editing other nearby content.
Reuse one selection for similarly framed photos, then inspect each generated result.
REALISTIC EXPECTATIONS
The editor generates replacement pixels from the visible surroundings; it cannot recover the exact image hidden beneath the words. Results vary with text size, contrast, the background texture, and nearby details. Large text over faces, sharp lines, or complex patterns can leave artifacts or alter details. PNG, JPG/JPEG, and WebP are accepted, with up to 30 images in a session. Image processing runs in your browser, while the website and model resources still load over the network.
COMMON QUESTIONS
Yes. Add up to 30 images and use Apply to All to reuse the selection at the same relative position. It works best when framing and text placement match.
The editor accepts PNG, JPG/JPEG, and WebP images.
No. The model generates an approximation from nearby pixels. It cannot know the exact content that the text covered.
It may, but intricate textures, faces, and lines are harder to reconstruct. Review the result closely and consider a smaller selection.
Apply to All does not track moving words. Make separate selections for photos where the text shifts or the crop changes.
Image processing runs in your browser. The website and model resources still load over the network.
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