Text Remover

Why some text vanishes and some leaves a mark

Text sits on top of a surface. Removing it means rebuilding that surface: a flat wall, a wooden table, a gradient sky. Detection finds the lines and boxes them, then the same rebuild that handles objects fills them in.

Flat and gently textured backgrounds come back perfectly. Text printed across a busy pattern, a face or fine detail is harder, because the model has to continue structure it can only infer from the edges of the box.

Three steps to a clean surface

01

Upload the image

Screenshots, posters, product shots and photos of signs all work.

02

Detect the text

Every line comes back as a box. Deselect anything that should stay readable.

03

Run and inspect

Check the edges of each box; brush over anything the detector clipped.

Built around how text is laid out

Line-level detection

Each line of text is boxed separately, so you can keep one and drop another.

Pattern continuation

Wood grain, fabric and gradients are extended under the removed line instead of filled flat.

Handwriting too

Irregular strokes are handled by the same rebuild once they are inside a marked area.

Manual override

Anything detection misses — stylised logos, curved text — can be painted in by hand.

Text off, surface intact

When the words have to go

A

Reusing a template

Strip the old copy off a banner or poster before new text is set on top.

B

Localisation

Clear the source-language text so a translated version can be typeset in place.

C

Clean stills

Remove burned-in subtitles or channel bugs from a frame you want to reuse.

Frequently Asked Questions

Can it replace the text with new wording?

No. This page only removes text and rebuilds what was underneath. Set new text on top afterwards in your own design tool.

Does it work on any language?

Detection is shape-based rather than dictionary-based, so scripts it cannot read still get boxed. Anything it misses can be painted over manually.

Why is there a faint outline where the text was?

The box was tighter than the letters, usually because of a drop shadow or glow. Brush a little wider around the line and run again.

Can it remove text from a busy photo?

It will try. Text over a plain surface disappears; text over faces, patterns or fine detail leaves a patch that reads as reconstructed.

Does it handle curved or angled text?

Detection boxes are rectangular, so curved and steeply angled text is best marked with the brush, which follows any shape.