PhotomakerPhotomaker

AI Text Remover

Un-caption, un-stamp, un-sign

4 free credits at signup — one Standard run, no card.

  • 1Upload the image with the baked-in text at /create
  • 2The remake lifts the lettering and rebuilds the surface below
  • 3Inspect the patched areas, then download the clean frame
AI Text Remover — after editingAI Text Remover — before editing
BeforeAfter

Straight out of the studio — slide to compare.

Text has a way of fusing itself to images. The camera burned an orange date into every 2004 print. The only surviving copy of a great photo is the one someone captioned. A screenshot carries interface labels; a location shot carries a lease sign that dates it. Once the letters are in the pixels, deleting them means rebuilding the surface they sat on — which is precisely the job here.

The pass sweeps the frame for text, lifts it, and continues whatever was underneath: sky closes over a caption, siding keeps its lines behind a sign, a shirt's fabric flows back where a stamp sat. Texture, perspective, and light carry through the patch, so the fill reads as surface rather than as a smudged rectangle where words used to be.

Reclaim the uncaptioned original of your own photo, clean a screenshot for documentation, or clear signage from a location shot before other edits. To rewrite a sign instead of erasing it, Change Text swaps the wording in matching style. Edit only images you have the rights to — stripping someone else's watermark to reuse their work is off the table, and the responsibility for that call is yours.

  • Feed the result straight into any other tool
  • Three quality tiers: Standard, Pro, Max
  • Every remake saves to your library automatically
  • Finish by upscaling for print or animating into video

Questions, answered

Can it clear the orange date stamp on old digital camera photos?

That stamp is the tool's oldest customer. The corner it occupied gets rebuilt from the surrounding image, and the photo returns to how the moment actually looked.

Does handwriting count as text?

Yes — handwritten notes, whiteboard scrawl, and signed corners get detected alongside printed type. Any lettering baked into the pixels is in scope for the sweep.

What happens with text on a face or a busy pattern?

The rebuild leans on surrounding context, so a caption across a plain sky heals invisibly while one across a face demands more reconstruction. Zoom into any patch over complex detail before you rely on it.

Will it strip subtitles from a video frame grab?

A single exported frame, yes — the subtitle band lifts and the scene fills in. Handle rights the same way as any removal: your own material, or material you are licensed to alter.

Is there a free way to use AI Text Remover?

Signing up gives you 4 credits on the house — one Standard-quality run of this tool. A Google account is all it takes; no card involved.

Your photo has another version in it.

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