flat text → live type
The text got flattened into the image. Get it back as editable type.
You have a JPG or PNG with text baked in — a headline, a price, a caption — and you need to change the words, but it's just pixels now. The usual answer is to erase it by hand with the clone stamp and retype from scratch. Here, AI detects the text, reads it, fills the background behind it, and hands it back as a real Photoshop type layer you can actually edit.
Recover editable textWhy you can't just click the text
When a design is exported to JPG or PNG, every text layer collapses into the same flat grid of pixels as the rest of the image. Photoshop has nothing to select — the words are now indistinguishable from the photo behind them. Adobe's own forums confirm it: a flattened file has no editable text, and the manual fix is to destructively paint the words out and retype them. That's the workflow this replaces.
Detect, read, fill, rebuild
The deep text scan finds every piece of text — headlines, taglines, letterspaced badges, small print, product labels — reads it with a vision model, and locates each line to the pixel with a dedicated OCR engine. Erase the originals and the background is inpainted cleanly behind them; each line becomes a live type layer positioned where the original sat. Change the copy, translate it, or restyle it — the artwork underneath is whole.
Honest about the hard cases
Straight, legible text comes back cleanly. Ornate logos and intertwined monograms are flagged, not faked — those are better grabbed as an object than retyped, and we tell you which is which. Font matching is a best guess mapped to a standard face; you fine-tune in Photoshop. The point is to save you the erase-and-retype hours, not to pretend the result is untouchable.
Frequently asked
Does it work on any image with text?
Best on rendered text over a photo or design — headlines, captions, labels, ads. Handwriting and extreme stylization are harder and may come back flagged rather than as editable type.
Will the font match the original?
It maps to the closest standard face (serif/sans/script + weight). Exact font identification isn't reliable from a flat image, so treat the face as an editable starting point.
Is the background behind the text really clean?
The erase runs a server inpaint that reconstructs the texture behind the removed words. Simple backgrounds are seamless; busy ones may want a touch-up, which the layered file makes easy.
Keep reading
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