Remove Text from Image Online — AI Image Text Remover
Upload an image, use the default removal prompt or edit it, and the AI erases visible text while rebuilding the background naturally. Remove captions, labels, subtitles, watermarks, and text overlays from photos and pictures in seconds.
AI Text Remover • Remove Text from Photo • Erase Text from Image • Text Remover from Image

What Is Image Text Remover?
Image Text Remover is an AI tool that removes visible text from images without damaging the background. Point it at any photo, screenshot, or graphic, keep the default prompt or describe the text to remove, and the AI erases the text and reconstructs what was behind it. Use it as a text remover from image for cleaning product photos, a photo text remover for fixing social media screenshots, or an AI text remover for batch processing graphics with unwanted text.
How to Remove Text from Image in 3 Steps
Upload your image, adjust the removal prompt if needed, choose output settings, and let the AI text remover handle the rest.

Upload Your Image
Upload a JPG, PNG, or WEBP file. The image text remover works with photos, screenshots, product images, social media graphics, and any image containing text you want to erase.

Edit the Prompt and Output Settings
Use the default prompt to remove all visible text, or edit it for a specific target. Choose 1K or 2K resolution and generate 1 to 4 output images.

Download the Clean Image
The AI erases the selected text and rebuilds the background using inpainting — matching colors, textures, and patterns from the surrounding area. Download the cleaned image at full quality.
AI Text Remover for Every Use Case
Whether you need to clean a screenshot, erase captions from a photo, or remove labels from product images — here is what the text remover handles.
- Remove captions and text overlays added to shared photos
- Erase social media handles and promotional text from reposted images
- Clean up memes to recover the original clean photo beneath
- Remove date stamps and camera text from old photos

What Users Say About Image Text Remover
Designers use it to clean product photos. Content creators erase overlaid captions. Marketers remove old promotional text to reuse campaign images.
We had 200+ product images with old sale text baked in. The image text remover cleaned them all without reshooting. The backgrounds look untouched — our design team couldn't tell which photos were edited.
Sarah Mitchell, E-commerce Manager
Sarah Mitchell
E-commerce Manager
I pull reference photos from Instagram and Pinterest, but they always have text overlays. This AI text remover strips the captions in one pass and the background fills in perfectly. Saves me 10 minutes per image in Photoshop.
Daniel Park, Social Media Designer
Daniel Park
Social Media Designer
A client sent photos with date stamps and text burned into every shot from an old camera. The text remover erased them all and rebuilt the background so cleanly you would never know anything was there.
Lucia Fernandez, Freelance Photographer
Lucia Fernandez
Freelance Photographer
We reuse campaign photos across seasons but the promotional text changes. Instead of asking the photographer to reshoot, we just run the old images through the text remover and add new copy. Huge time saver.
James Wheeler, Marketing Director
James Wheeler
Marketing Director
I use the photo text remover to clean screenshots before putting them in case studies. Remove placeholder text, personal data, and old labels — all without redoing the screenshots from scratch.
Mei Chen, UI/UX Designer
Mei Chen
UI/UX Designer
Meme images have great photos buried under text. The AI text remover pulls the words off and gives me the original clean image underneath. The background reconstruction is honestly better than I expected.
Ahmed Hassan, Content Creator
Ahmed Hassan
Content Creator
Image Text Remover FAQ
Common questions about removing text from images, photos, and pictures with AI.
Remove Text from Your Image Now
Upload an image, run the text removal prompt, and download a clean version in seconds.


