AI Text Removal
Bring a marked-up, unusable photo back to a clean master plate, and skip the reshoot, the hours and the budget that came with it.
A shopfront with four separate pieces of text in it
A run we did on this page, chosen because it is the awkward case: a painted fascia board, a stencilled notice on glass, a chalked A-board and a metal parking sign, sitting on four different materials. Drag the divider and check the fascia first — it is flat paint, which is the hardest surface to repair invisibly. Drag the divider and watch the lettering disappear while the shopfront comes back clean beneath it.
Drag to compare before and after
What taking the lettering out actually has to do
Two operations, and the second one is where every cheap tool gives up.
Removing text from a picture is an inpainting job. First the lettering is identified and masked — every stroke, plus the drop shadow, glow or outline that usually travels with it — or, if you name the words to keep, everything around them. Then the masked region is reconstructed from what surrounds it, which means inventing plausible surface: the continuation of a brick course, the fall-off of a gradient in a sky, the way a wood grain runs.
Older tools solved half of this with a blur or a patch cloned from somewhere nearby, and both fail on anything structured. A model that has seen enough photographs can instead rebuild the region so the join is invisible at full size, which is the only standard worth measuring against. Two things it is not: it is not OCR, so you never see the words listed anywhere, and it is not a licence — removing a credit line from an image does not change who owns it.
Creative engine
How a removal run works
Upload the image and clear signage, captions and stamps in one run, or name the one piece of text you want to keep.
Busy surfaces are easier than empty ones
Counter-intuitive, but true. On brick, foliage or wood grain the rebuild carries texture, detail and light straight through the repaired area and the lettering simply disappears into the scene. On flat paint or open sky, name the colour in the prompt and the patch blends in.
Say what should be there instead
The prompt is allowed to describe the repair. "Continue the brick course" or "plain sky" gives the reconstruction a target and removes the guesswork that produces smeared patches.
Three habits that decide the result
Three habits that hand the model the cleanest possible brief, so the repair holds up at full size.
Upload the largest copy you have
Reconstruction works from surrounding pixels, so a downscaled screenshot gives the model less to rebuild from and a resized crop gives it artefacts to copy. Start from the original file if it still exists.
Name what should replace the lettering
Add one clause to the prompt describing the surface — brick wall, painted metal, open sky, wood grain running left to right. This single sentence is the difference between a rebuilt area and a smudged one.
Inspect at 100%, not at thumbnail size
Zoom to the repaired region and look for three things: a rectangle edge, a repeated patch of texture, and any straight line that jogs where it crosses the patch. If you find one, rerun and describe the surface more precisely.
When the words in the frame are the problem
Five jobs where the text was never meant to be part of the picture, whether it is print, chalk, handwriting, a stencil or a foreign script.
Reusing a photo in another language
A product shot with English packaging copy cannot ship to a market that does not read it. Stripping the lettering leaves a clean plate that a designer can typeset over, which is far cheaper than a reshoot.
Getting a clean background plate
Signage, posters and number plates all date a photograph and tie it to a place. Take them out and the same frame works as a generic backdrop — the same instinct as building a plate from scratch, applied to a photo you already have.
Clearing captions off a screenshot
Subtitle bars, watermark strips and UI toasts sit over the part of the frame you actually wanted. Removing them and rebuilding the underlying image beats cropping, which throws away composition.
Removing stamps from your own archive
Date stamps burnt in by an old camera, or a studio credit on a photo you commissioned and own. Clear them and your own archive comes back as fresh, unmarked plates ready to use again.
Prepping an image for a mock-up
A blank shopfront, a blank billboard, a blank label. Text removal produces the empty version that a mock-up needs, so the client sees their own words rather than somebody else's.
Text removal FAQ
What people check before running an image through it.
Yes by default — the standard prompt asks for all lettering, signage, captions and stamps to go. If you want to keep one of them, say so explicitly: name the piece of text you want preserved and the rest will be removed around it.
It is rebuilt, not blurred. The model reconstructs the surface from what surrounds the removed strokes, continuing brick courses, gradients, grain and shadow through the patched area. On busy texture this is usually invisible; on flat paint or clean sky it is worth checking at full size.
Use it on photos you own or have licensed: that is ordinary retouching, and it turns dated, marked-up frames into clean images ready to work again. Removing a mark never transfers rights in someone else's work.
It should not, and that is the thing to verify. The prompt pins composition, crop, colour and subject, so only the patched regions are meant to differ. Compare the two files side by side at full size — if the whole image has been subtly restyled, rerun rather than accept it.
Yes. The removal is not reading the words, it is finding marks that sit on top of a surface, so chalk, script, stencils and foreign scripts are all treated the same way. Very low-contrast text on a busy background is the case most likely to be missed — point at it in the prompt if it survives the first run.
It goes over HTTPS, lands in your own history and nowhere else. Nothing is read out of it — this is not OCR, so the words you removed are never extracted, listed or stored anywhere as text. Delete the image and both versions go.
One purchase, and everything you make here is yours to post
Any plan or pack — even a $19.90 one — unlocks a clean copy of every image you have made here, starts each new run instantly, and refunds one that fails.
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Other things to take out of a photo
Same repair problem, different thing sitting on top of the picture.
Lift the lettering out
Upload one image, name the surface underneath, and take back the clean frame the lettering has been blocking. Your first run needs no sign-up.