

Camera date stamp
An orange date stamp in the corner of a blurred café background. The background was filled in with no visible patch.
No account required
Brush over the text you want gone. AI fills in what was behind it, and everything you didn't brush stays as it was.


A date stamp, a caption, and a price tag added on top of real photos, then removed with one brushed pass each. Drag the slider and look closely at the area that was covered.


An orange date stamp in the corner of a blurred café background. The background was filled in with no visible patch.


A white caption with a black outline over a jacket and hands. The jacket, hands, and pavement behind the words were filled back in; the face was never touched.


A red sale tag that overlapped the top of a bag handle. The text is gone and the handle was redrawn, but a faint red tint is left where the letters crossed it.
Step 1
Add a photo or screenshot as JPEG, PNG, or WebP up to 15 MB.
Step 2
Paint over each word, date, or caption you want removed. Cover the letters with a small margin; you can undo strokes and change the brush size.
Step 3
AI fills the brushed area from the surrounding background. Compare before and after, then download the clean image.
Captions, date stamps, subtitles, stickers, and price tags sit on top of a picture you want to keep. Brush over them and an AI model paints in the background that should be behind the text: sky, wall, fabric, skin, or a product surface.
Only the brushed area changes. After the model runs, every pixel you didn't brush is taken back from your original, so faces, logos, and other text elsewhere in the frame are not redrawn.
The result keeps the size of your upload. Each removal costs 6 credits, and you can buy a credit pack without creating an account first.
Uploads and results are removed automatically and are never used to train models.
Captions and emoji text on social photos, date stamps from old cameras, burned-in subtitles in screenshots, handwriting on a photo, price stickers on product shots, and names or notes added on top of a picture. It works best when the text sits on a simple or repeating background.
If you're happy with the result, it's ready to save. If you also want to upscale, extend the edges, or refine other details, you can continue with:




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