Product-image text cleanup
See a demo example where the main job is removing an overlay or label without changing the actual product shot.
View demo exampleRemove text from an image
Captions, labels, timestamps, and date stamps. BOARD picks up visible text regions and removes them without manual masking.
BOARD is useful when the underlying image still matters and the text sitting on top of it does not. That includes date stamps on older photos, overlaid captions, labels, meme text, UI fragments in screenshots, and brand or promo text that is visually separate from the surrounding scene. A guest session starts with 5 credits, supported uploads include JPG, PNG, WebP, and HEIC, and the workflow stays short enough to test on a real image before you do anything more involved. Simpler backgrounds clean up more naturally, but if the problem is one visible text layer inside an otherwise usable image, this is the right starting point.
Written by the BOARD team at Rainn Inc. and reviewed against the live workflow on March 16, 2026. Questions: support@rainn.ai.
Start freeHow to remove text from your image
BOARD is an object-oriented image editor. It treats visible elements in your image as separate objects, including text overlays, labels, and date stamps. Here's how to remove them:
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1
Upload your image to BOARD
Drag and drop or click to browse. Accepts JPEG, PNG, and WebP.
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2
BOARD detects text and other objects
Detection runs automatically. Text overlays, labels, and date stamps get outlined along with everything else in the scene.
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3
Click the text you want to remove
Pick the text. BOARD highlights it so you can confirm before anything changes.
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4
Hit Remove — BOARD fills in the gap
BOARD rebuilds the area behind the text using the surrounding image, which can produce a clean result on simpler backgrounds.
When to remove text from images
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Social media screenshots
Remove usernames, timestamps, or interface stuff from screenshots before reposting.
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Date stamps on old photos
Those orange date stamps from film cameras. BOARD picks them up and removes them.
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Meme text and captions
Want the original image without the caption? Pick the text and remove it.
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Signs and banners in photos
Signage, brand names, banners — if it's text in the frame and you don't want it, remove it.
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Need to remove something other than text?
Try our object removal tool for any object, or person removal for people.
BOARD vs other tools
| BOARD | Photoshop | Inpaint | Canva Magic Eraser | |
|---|---|---|---|---|
| Auto-detects text | Yes | No | No | No |
| Remove method | Click to select | Clone stamp / CAF | Paint mask | Manual brushing |
| Fills background | AI-powered | Content-Aware Fill | AI-powered | AI-powered |
| Skill required | None | Advanced | Basic | Basic |
| Best starting point | Click detected text | Full editor | Manual mask tool | Design suite add-on |
BOARD vs Photoshop
In Photoshop you'd use the clone stamp or Content-Aware Fill, and either way you're doing fiddly manual work around text edges. BOARD treats the text as a single object and removes it in one click.
BOARD vs Inpaint
Inpaint has you paint a mask over the text by hand. BOARD already knows where the text is, so there's no masking step.
BOARD vs Canva Magic Eraser
Canva's eraser needs you to brush over the text. Miss the edges and you get artifacts. BOARD lets you target the detected text block in one step.
Frequently asked questions
Can BOARD detect text in images automatically?
Yes. BOARD picks up text overlays, labels, captions, date stamps, and other visible text. No tracing or masking on your end.
Does it work on handwritten text?
Sometimes. If the handwriting is clear and stands out from the background, BOARD will probably pick it up. Faint or blended handwriting is harder.
Will the area behind the text look natural?
BOARD fills the area using the surrounding image. Text over simple backgrounds like sky or a wall comes out clean. Busier backgrounds might need a second pass.
Can I remove multiple text elements from one image?
Yes. One at a time: pick, remove, repeat.
What image formats work?
JPEG, PNG, and WebP. Just upload and go.
Related pages for text cleanup
Product photo cleanup
Learn where text removal and prop cleanup fit inside a product-image workflow.
Read use caseRemove object from photo
Use the broader object-removal page when the problem is clutter, props, or signage rather than text alone.
Open object-removal pageBrowse all demo examples
Use the gallery hub to compare text cleanup with people, clutter, and other removal scenarios.
Open galleryReady to remove text from your image?
Upload your image, check the before-and-after, and see whether BOARD can clean up the text without harming the shot.
Start free