Use PhotoUnmark only on images you own or can edit.

Remove Text from Images You Own

Clean an unwanted caption, date stamp, or draft label from an image you are allowed to modify.

Start cleaning in your browser

Upload, brush, repair, and download. No account needed.

Upload JPG, PNG, or WebP to start.

Purpose and workflow

The text cleanup page focuses on captions, timestamps, draft labels, and annotations in images you own. It is not designed to falsify documents or remove attribution from third-party work.

1

Identify the editable overlay

Confirm the text is part of an image you own or have permission to change.

2

Brush close to the characters

Cover the full strokes while keeping the mask as tight as practical.

3

Repair one region at a time

For multiple lines, smaller separate passes can preserve more of the original background.

Appropriate examples

Camera date stamp

Clean a date burned into your own family or travel photo.

Draft campaign caption

Remove an outdated caption from a source graphic your team controls before replacing it.

Limits to expect

  • Text over faces or intricate product details may not reconstruct cleanly.
  • Do not use the tool to alter official documents or misrepresent image origin.
  • Very large text blocks often need several controlled passes.

Why use PhotoUnmark

Fast image cleanup with no account required.

No account needed

Upload and clean an image without creating an account.

Fast AI cleanup

Brush the mark, pick a cleanup mode, and get results in seconds for many common overlays.

Simple workflow

Upload, mask, repair, compare, and download in one tool.

Privacy-friendly modes

Quick clean and Smart repair can run locally in your browser without uploading your file.

Free cleanup modes

Three free AI repair options

Start fast, then choose a stronger mode when the background needs it.

Quick clean

Fast cleanup for small marks, date stamps, and light overlays on simple backgrounds. Your file stays in this browser.

Free

Smart repair

A stronger browser-based repair pass for text, logos, and marks that need better edge blending.

Free

FAQ

Answers about privacy, cleanup modes, and allowed use.

Can it remove a date stamp?

Yes, especially when the stamp is small and sits on a simple background. Results vary where the stamp crosses detailed subjects.

Will the original letters remain readable?

The selected area is reconstructed, not blurred. A successful repair replaces the letters with surrounding visual context.

Can I remove text from a scanned document?

Use it only when you are authorized to alter the scan. It is not intended for changing records, evidence, or ownership information.

Should I mask each line separately?

Usually yes. Smaller masks give the repair process more nearby context and reduce unintended changes.