---
title: "Text Remover: Erase Text from Images | Potto AI"
description: "Remove text from an image: the text remover erases captions, prices and overlays and rebuilds the area behind them. 60 credits per image."
canonical: "https://potto.ai/text-remover"
language: "en"
dateModified: "2026-10-07"
---

# Text Remover

Remove captions, titles and date stamps from an image you own, then compare the rebuilt area with the texture and objects around it.

*Layout preview — image with overlaid text. This is not a generated result.*

## Remove text from an image and inspect the repair

The same coastal photo before and after its overlaid text is removed. The text remover rebuilds each covered area from what surrounds it, so judge the repair at the size you will use.

![Donkey in a whitewashed Santorini street with a semi-transparent "© Lena Hart Photo" mark and a round LH badge on top](https://cdn.potto.ai/images/ai-watermark-remover-santorini-before-1080.webp)

*Original · with overlay text*

![Donkey in a whitewashed Santorini street after the AI watermark remover cleared a semi-transparent text mark and corner badge](https://cdn.potto.ai/images/ai-watermark-remover-santorini-1080.webp)

*After · text removed*

### Overlay text removed

Captions, titles, subtitles, text banners, date stamps and text stickers laid over the image are removed, and the covered area is reconstructed to match the surrounding texture, color and light. The rebuilt area is generated, not recovered, so it cannot reveal what the overlaid text was hiding.

### Scene text kept

Wording that belongs to the scene, such as signs, street names, product packaging and printed text on objects, is meant to stay. The match is not infallible: a label, a sticker and a graphic caption can look alike, and there is no brush to protect one line of overlaid text.

### What to check

Start with the exact spots where letters sat: faint outlines, repeated patches and sudden gradient changes in the sea, sky or walls. Then compare faces, edges and colors across the whole image, because the image is regenerated and unmarked pixels are not guaranteed to stay identical.

## Where removing text helps

Use the text remover on images you own or may edit, then add your new wording in a layout tool.

### Event posters

*Date → Clean background*

Reuse the artwork when only a flattened export of your own poster is left. The tool cannot protect the venue line while removing the date, so other overlaid text can change too; keep a copy of anything that must stay. Check where letters crossed faces or detailed shapes, then add the new title and date as editable text.

![Event poster with a date line beside the same poster with the date removed and the background clean](https://cdn.potto.ai/images/text-remover-event-poster-date-1080.webp)

### Product promotions

*Sale badge → Clean product*

An expired sale badge or promotional line can come off a product image you own. Look for the clean original in your catalog first. If only the marked image remains, inspect the silhouette, printed packaging and texture near the overlaid text, and do not use a smooth result that changes the product.

![Perfume product image with an expired SALE ENDED badge beside the same image with the badge removed](https://cdn.potto.ai/images/text-remover-perfume-sale-badge-1080.webp)

### Video stills

*Subtitle → Clean still*

Capture the still from an unsubtitled export when one exists, and remove burned-in subtitles only as a fallback. One image cannot consult neighboring frames, so a repair around a moving hand or face can look fine as a thumbnail and fail when enlarged. The text remover works on a single image and does not remove subtitles from a whole video.

![Video still with burned-in subtitles beside the same still with the subtitles removed](https://cdn.potto.ai/images/text-remover-street-still-subtitles-1080.webp)

## How to remove text from an image

Three steps in the panel above.

### 1. Look for an editable source, then upload

If the words still live as a text layer in your design file, edit or hide that layer instead; an exported image holds only pixels. Otherwise upload a JPEG, PNG or WebP image up to 10 MB that you own or may edit. Each image in a batch is its own task.

### 2. Run once and inspect the repair

There is no selection brush: every piece of overlaid text in the image is targeted, so remove or note anything that must stay. Compare the repaired area with the original before running again. If the overlay hid most of an important subject, repeating cannot supply the true detail.

### 3. Download and add your new wording

Text removal costs 60 credits per image, shown on the Generate button before you confirm. The result keeps the upload format and is limited to 2048 pixels on its longest edge, so a larger source returns smaller. Keep the original, then add verified wording in an editable layout.

## What the text remover takes out

Four points about removing text from an image: what is targeted, what stays, why there is no brush and how to check the repair.

### Captions, titles and date stamps are targeted

The text remover aims at overlaid text: captions, titles, subtitles, text banners, date stamps and text stickers laid over the picture. The covered area is reconstructed to match its surroundings, so the output is a generated repair, not a recovered original.

- JPEG, PNG or WebP up to 10 MB
- The result keeps the upload format

![Donkey in a whitewashed Santorini street with a semi-transparent "© Lena Hart Photo" mark and a round LH badge on top](https://cdn.potto.ai/images/ai-watermark-remover-santorini-before-1080.webp)

*A source with overlaid text across the photo.*

### Wording inside the scene is meant to stay

Signs, street names, packaging and printed text on objects belong to the photograph and are meant to stay. A sticker, a label and a graphic caption can look alike, so check that nothing you needed was repaired away.

- Overlay text and scene text are different things
- Decide what must stay before you run it

![Chalkboard coffee shop menu with six handwritten items and prices generated by the AI image generator](https://cdn.potto.ai/images/ai-image-generator-chalkboard-menu-1080.webp)

*Text on a menu board belongs to the scene. Check it after any removal.*

### No brush, no mask, one pass

There is no selection tool: the text remover targets every piece of overlaid text in the image. Upload, press Generate and inspect the repaired area. If a line must stay, copy it first and add it back in a layout tool afterwards.

- 60 credits per image, quoted on Generate
- The longest edge is limited to 2048 pixels

![Donkey in a whitewashed street after the AI watermark remover cleared the overlay](https://cdn.potto.ai/images/ai-watermark-remover-santorini-1080.webp)

*After cleanup: the overlaid text is gone and the wall is filled in.*

### Check the repaired area at full size

Start where the letters sat: faint outlines, repeated patches and sudden gradient changes in sea, sky or walls. Then compare faces, edges and colors across the whole image, because regeneration can change small things elsewhere. Another pass costs credits again and cannot supply detail the overlay hid.

- Keep the original beside the result
- Add new wording in an editable layout

![Lakeside park and mountains extended from a 4:3 photo to a 16:9 frame with the uncrop tool](https://cdn.potto.ai/images/uncrop-lake-16x9-1080.webp)

*Smooth skies and water show repair patches most clearly.*

## Keep exploring Potto AI

When the problem is not overlaid text, these tools fit the job better.

- [Watermark Remover](https://potto.ai/watermark-remover.md): Remove a watermark-like overlay from a photo.
- [Remove People from Photo](https://potto.ai/image-templates/remove-people-from-photo.md): Take a person out of the scene and rebuild what was behind them.
- [AI Image Editor](https://potto.ai/ai-image-editor.md): Describe a different edit when text is not the problem.
- [Background Remover](https://potto.ai/background-remover.md): Isolate the subject when the surroundings are the problem.
- [Image Upscaler](https://potto.ai/image-upscaler.md): Enlarge a cleaned image to a size that fits the destination.
- [Uncrop](https://potto.ai/uncrop.md): Add room around the photo for a new aspect ratio.

## Text Remover FAQs

### What is a text remover?

A text remover removes overlaid wording from an image and reconstructs the area the wording covered. The Potto AI text remover runs an automatic cleanup aimed at text only, so captions, titles, subtitles and date stamps are targeted without a brush. The output is a generated reconstruction, not a recovered hidden original and not an editable text-layer document. Compare both the repaired region and the whole image.

### Is removing an overlay the same as removing text inside a scene?

No. A caption or date stamp is overlaid text placed on top of an image, while a photographed sign, street name or product label is part of the scene. The text remover is built to remove the overlay and keep scene text, but a label, a sticker and a graphic caption can look alike, so identify what should change and review the result accordingly. This automatic workflow has no selection brush that could guarantee the distinction.

### Can this replace old wording with new or translated wording?

This page removes text; it does not typeset replacement wording. After you review the cleanup, add verified new wording in an editable layout, with the correct translation, font and placement for the destination. A text-free output is not a finished localized design.

### Should I look for an editable source first?

Yes. If the words still exist as a text layer in your design file, edit or hide that layer there; it keeps the untouched background without asking a model to invent the covered pixels. An exported image combines lettering and artwork into pixels. Use the text remover when only the export is left, and keep the original for comparison.

### Which files and sizes can I use?

Upload a JPEG, PNG or WebP image up to 10 MB that you own or have permission to edit. The result keeps the upload format and its longest edge is limited to 2048 pixels, so a larger source returns smaller; keep the full original for work that needs its dimensions. Plans with batch access can process up to 10 images at once, and each image is a separate task that needs its own review. Removing text does not grant rights to the underlying image.

### How do I remove text from an image without a brush?

Upload the image and press Generate. The text remover targets every piece of overlaid text in the picture, so there is nothing to select or mask. If a line must stay, such as a caption you still need, make a copy of it first and add it back in a layout tool after the cleanup. Run once, inspect the repaired area, and only then decide whether another pass is worth its credits.

### What should I check in the result?

Start with the exact places where the overlaid text sat, looking for faint outlines, dark fragments and repeated patterns. Then compare faces, object edges, colors and framing across the whole image, because regeneration can change small things elsewhere. Finally view the image in its destination layout. A subtle color patch can show on a large plain background even when it is invisible at thumbnail size.

### Do I need an account to use the text remover?

You can upload images before signing in. Removing text opens the sign-in dialog, and the uploads stay in the text remover.

### What if the text remover fails on an image?

Each image is its own task: a failed one shows the reason and a retry, and its credits are released without affecting the others. Running the text remover again on a finished result is a new, charged request.

### How much does the text remover cost?

Removing text costs 60 credits per image. With several images, each one is priced and charged on its own, and the total appears before you confirm.

## Remove the text from your image

Upload an image you own, remove the overlaid text and check the repaired area before you download.
