Is this better than a simple 'Magic Eraser' tool?

Instead of only blurring pixels, generative inpainting uses the surrounding image context to rebuild the detected text area. Results still depend on the source image and scene complexity.

Does this export the removed text as a separate layer?

No. This workflow returns one cleaned image with the selected text removed. Use Image to Layers when you need editable layer extraction.

Does the tool require a manual mask?

No. The default workflow automatically detects and removes visible text. If a small or complex text area remains, try another pass or use a manual editing tool for that specific region.

Can I use the cleaned image for localization?

Yes. Download the cleaned image and place your translated copy over the reconstructed background in your design tool.

What is 'Inpainting' in the context of text removal?

Inpainting is an AI process that 'imagines' what was behind the text. It reconstructs textures like wood, sky, or complex patterns to provide a seamless, clean image.

How do I get the cleanest background plate?

Use a clear, high-resolution source where the text is visibly distinct. Complex overlaps may need another pass or a manual editing tool.

What file does the tool return?

The tool returns a cleaned PNG image at the original image dimensions. It does not create a PSD or ZIP of extracted text layers.

Is this tool free to use?

Running a text removal job uses 30 credits. Your available credits and plan are shown in the product interface.

Automatic text removal

Remove Text From an Image

Remove unwanted text from photos, graphics, ads, product images, and other visuals while rebuilding the area behind it.

Upload an image

Drop one PNG, JPG, or WEBP image here. No prompt or selection is required.

After — An image with unwanted text → the same image with it removed.

Before — An image with unwanted text → the same image with it removed.

Common scenarios

When Text Is Stuck in the Image

Fix and update visuals without rebuilding them from scratch.

The text is baked into the image

Headlines, dates, prices, or watermarks are merged into pixels and cannot be selected as editable text.

You don't have the original design file

No PSD, vector file, or layered source archive is available — only a flat JPG, PNG, or WebP graphic.

You only want the words gone

Keep the exact original artwork and background intact instead of generating an altered image.

How it works

Remove Text in Four Steps

Upload an image, let the tool find the text, and download a clean version — no prompt or manual mask.

Step 1

Upload your image

Choose a JPG, PNG, or WebP containing the text you want removed.

Step 2

Let the tool find the text

The image is scanned for visible headlines, captions, labels, and other text areas. No prompt or manual mask is required.

Step 3

Rebuild the area behind it

The detected text is removed and AI fills the covered area using the surrounding image as context.

Step 4

Review and download

Check the cleaned area, then download the PNG or continue editing the image.

What you get

What Can You Remove Text From?

Photos

Remove captions, dates, or unwanted text overlays while keeping the surrounding photo.

Product images

Clear promotional copy, price labels, or campaign text before creating another version.

Posters and graphics

Remove old headlines or slogans when the original editable file is no longer available.

Social images and memes

Clean baked-in captions before adding new text.

Localization assets

Remove one language before placing translated copy into the same design.

Flattened design files

Start from a JPG or PNG when you no longer have the original layered source.

Automatic

text detection

30 credits

per removal job

PNG

cleaned output

Online

no desktop editor

About the rebuilt area

Context-Aware Background Fill

AI uses the surrounding image to create a plausible replacement for the area that was covered by text.

Hidden details are generated, not recovered from the original source.

Text over the image

Area rebuilt from its surroundings

Real-world scenarios

Where Text Removal Is Useful

Update an old marketing graphic

What you have

A poster, banner, or social graphic with copy you no longer want.

What you can do

Remove the existing text, keep the surrounding artwork, and add your own copy afterward.

Useful for

Campaign refreshes
Localization
Seasonal updates

Create a clean meme or social template

What you have

An image with captions or text baked into the pixels.

What you can do

Remove the old caption and reuse the cleaned image as the starting point for something new.

Useful for

Memes
Social posts
Reaction images

Edit a flattened design

What you have

A JPG or PNG without the original PSD or editable source file.

What you can do

Remove an old headline or label and reconstruct the area behind it before continuing your redesign.

Useful for

Posters
Ads
Inherited design files

What to expect

When Automatic Text Removal Needs More Care

Removing the text is straightforward. The part that can vary is how cleanly the area behind it is rebuilt.

Tiny text and fine print

Very small lettering and low-resolution text can be harder to detect and may need another pass.

Text over faces or objects

More important visual information has to be reconstructed, so review these results closely.

Repeating patterns

Grids, tiles, and regular patterns behind the text can be difficult to continue seamlessly.

Complex textures and gradients

Detailed surfaces and smooth color transitions may show artifacts where the text used to be.

Common questions

Frequently Asked Questions About Removing Text From Images

How does AI remove text from an image?

The tool detects visible text, removes it, and generates a replacement for the area that was hidden behind the letters using nearby image content as context.

Do I need to select the text manually?

No for typical text-removal jobs. Upload the image and the tool automatically looks for text areas. If an image needs precise manual control, use a mask-based editing workflow instead.

What kinds of text work best?

Clear headlines, captions, labels, dates, and larger typography are generally easier to detect. Tiny text, low-resolution lettering, or text overlapping complex objects can be harder.

Will the background behind the text be exactly restored?

Not necessarily. If the text covered part of the original image, those pixels were never visible. AI creates a plausible reconstruction based on the surrounding area.

Can I remove text from product images?

Yes. It can be useful for removing promotional copy, prices, captions, or outdated campaign text before creating a new version. Check each marketplace's image rules before publishing.

Can I remove captions from memes or social images?

Yes. Baked-in captions and overlays are common use cases when you want a cleaner image to reuse as a new template.

Can I remove watermarks?

Use the dedicated watermark-removal workflow only for images you own or have permission to modify. Do not remove watermarks to bypass licensing or ownership restrictions.

What if text covers a face or detailed object?

These cases are harder because more important visual information has to be reconstructed. Review the result closely and use a more precise editing workflow if the automatic result is not good enough.

What file do I get?

The result is a cleaned PNG at the original image dimensions. This workflow does not extract the removed text as an editable text layer.

How many credits does it cost?

A text-removal job costs 30 credits. The cost is shown before you start, and failed generations are refunded.

Remove the Text. Keep the Image.

Upload a photo, poster, product image, or graphic and create a clean version without the unwanted text.

Remove Text From Image Back to Home

Automatic text removal