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A printed T-shirt before and after its visible lettering is removed.A printed T-shirt before and after its visible lettering is removed.
A local reference showing generated surface reconstruction after visible lettering is removed.
입력
One image containing visible text
출력
A generated text-free reconstruction
다음에 가장 적합
Simple signs, labels, products, and backgrounds

Image with text / Text removed

See the surface rebuilt without lettering

Drag the divider to compare the original product photo with a generated reconstruction that removes the visible lettering.

The white T-shirt with the printed lettering removed.A white T-shirt with printed lettering on a yellow background.Image with textText removed
Drag the divider to compare the original product photo with a generated reconstruction that removes the visible lettering.

Generative text removal with clear boundaries

Remove visible lettering

The preset targets captions, printed words, and other typographic marks instead of changing the overall creative style.

Rebuild the covered area

The model reconstructs nearby color, surface texture, lighting, edges, and background where the text used to be.

Add precise instructions

Describe the text location and the surface that should continue through the removed area when the image is complex.

How to remove text from an image

This workflow uses reference-guided generation. It does not expose a pixel mask, so clear instructions and careful review matter.

  1. 1

    Upload the image you can edit

    Choose an image where the text and surrounding surface are visible at useful resolution.

  2. 2

    Describe what should disappear

    Keep the preset or specify the caption, label, sign, watermark, or typographic mark and its location.

  3. 3

    Compare the reconstruction

    Zoom in on edges, texture, repeated patterns, products, faces, and any non-text detail that must remain accurate.

What generative text removal cannot guarantee

Covered pixels are reconstructed
The model cannot recover unseen original pixels. It generates a plausible continuation from the visible surroundings.
Complex patterns may change
Text over faces, hands, logos, detailed products, repeating fabric, or fine architecture can alter nearby features.
Respect ownership and attribution
Only remove text from material you are authorized to edit. Do not use the tool to misrepresent ownership or provenance.

AI text remover questions

Can AI remove text from any image?
It works best when the surrounding color and texture provide enough context. Text over complex subjects is less predictable.
Does the tool recover the exact background?
No. Hidden pixels are not available, so the model generates a plausible reconstruction rather than restoring exact unseen content.
Can I remove only one piece of text?
Yes. Replace the default instruction with the exact words or location to remove and explicitly ask the model to retain other text.
Will the rest of the image stay identical?
The prompt asks for close preservation, but reference-guided generation can change nearby details. Always compare the result.

업데이트됨:

Workflow source: Current ImageStyle reference-image generator.

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