

News Studio Screengrab
Live Broadcast Lower Third
A red broadcast lower-third strip covered the anchor desk. Drawing a tight box and blanking the input reconstructed the studio wood grain cleanly.
WAS $89(removed)
Erase burnt-in lower thirds, stream bars, and hardcoded subtitle lines baked into your stills. Select the rasterized caption box, leave the replacement prompt blank, and generate a clean background fill. Spend credits per render across standard 1K, 2K, or 4K resolution exports without complex masking.
Workflow
Four straightforward steps to erase rasterized lower thirds and subtitle strips.
Upload any PNG, JPG, or WebP image containing flattened or rasterized captions that you have legal rights to modify.
Draw a bounding box over the lower third or subtitle banner. Use tighter crop boxes for narrow one-line text bars.
Keep the replacement text input completely empty to command the AI to erase the lettering and synthesize background fill.
Sign in to activate trial credits, then render your image. Final credit deduction scales strictly by 1K, 2K, or 4K export resolution.
Overview
When video frames, screenshots, or presentations are saved as flattened PNG or JPG graphics, burned-in subtitles and lower-third lines become permanently fused into the background pixels. Standard sticker apps cannot remove them because there is no separate text layer to delete. ReWords AI detects the specified caption zone and performs targeted background inpainting to reconstruct the scene behind the letters.
Leaving the replacement field blank instructs the engine to fill the background across the subtitle zone, sharing the same core mechanism you use to remove text from image assets or remove labels from image items. While our tools to remove lettering from image compositions and remove logo from product image graphics reconstruct nearby pixels, complex film grain or gradients mean this fill is an approximation rather than a promise of invisible healing. You can experiment with options to remove all text from image slides or edit amazon listing image text by claiming trial credits after sign-in.
Use Cases
Explore how creators and archivists clean still captures that have hardcoded text overlays.
Clear speaker names, broadcast banners, and interview lower-third titles from extracted video stills for promotional decks.
Erase burned-in webinar captions or conference subtitle ribbons from exported slide grabs to prepare clean visual assets.
Remove burned-in television captions or documentary translation lines from historical image frames for clean republishing.
Why ReWords AI
Erasing rasterized text strips from detailed still frames demands contextual reconstruction rather than basic blurring. ReWords AI focuses purely on image text manipulation and localized fill generation.
Examples
See how ReWords AI fills background textures after clearing baked-in caption typography.


News Studio Screengrab
A red broadcast lower-third strip covered the anchor desk. Drawing a tight box and blanking the input reconstructed the studio wood grain cleanly.
WAS $89(removed)
Conference Slide Still
A webinar caption line obscured the presentation stage. Outlining the caption and leaving text empty synthesized the stage backdrop smoothly.
SALE(removed)




Documentary Cut Frame
A burnt-in subtitle block obscured a subject jacket. Selecting the caption box and generating without replacement cleared the lettering cleanly.
SOLD OUT(removed)
Streamer Highlight Grab
An outdated broadcast subtitle bar spanned the bottom border. A snug selection box erased the text while rebuilding the gradient wallpaper pattern.
SAMPLE(removed)


Highlights
Key differences in how ReWords AI tackles rasterized lower thirds.
Erase flattened caption ribbons directly on single-layer PNG or JPG files without hunting for lost master project files.
Spend credits strictly on the output resolution you need, from standard 1K drafts to high-resolution 4K production deliverables.
Reconstruct background textures beneath lower-third lines using context-aware AI fill instead of blurry clone stamp patches.
User Feedback
Notes from creators and specialists handling single-layer media with hardcoded typography.
“I frequently pull reference frames from digitized broadcasts where lower thirds cover historical backgrounds. Selecting the caption box and letting ReWords AI fill the pattern saved hours of clone-brushing.”
“When a client supplied single-layer PNG frame exports with burnt-in subtitle lines, I drew tight boxes around the text and left the text box empty. The background inpainting blended cleanly for presentation slides.”
“Exported slide stills often have live caption banners baked directly into the image. ReWords AI erased the subtitle ribbon and matched the backdrop color without needing original presentation files.”
“Clearing hardcoded translation strips from foreign documentary stills was straightforward. Framing the caption ribbon closely prevented artifacts and preserved the surrounding scenery.”
“We needed clean stills from legacy lecture videos that had burned-in presenter titles. Leaving the replacement prompt blank produced an effective background fill across our 2K slide exports.”
“Our team processes scanned broadcast screenshots that feature static news banners. Outlining the caption bar and spending credits per 4K export delivered solid reconstructions for our publication archive.”
FAQ
Get Started
Select your rasterized lower thirds or subtitle bars, clear the replacement field, and reconstruct background pixels with trial credits.
Related Workflows
Discover specialized generative tools for modifying embedded lettering across different image formats.
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