Remove Text from Video
Erase any burned-in text from a clip — channel bugs, watermarks, lower-thirds, titles, and labels anywhere in the frame. Upload a video, let the AI rebuild what was underneath, and download it clean with the audio untouched.
Sign in to remove subtitles from video
In short
To remove text from a video: sign in, upload your MP4, keep it on “all on-screen text,” and tap Remove text. The AI tracks every block of burned-in text across the frames, paints it out, and rebuilds the moving picture underneath, then re-encodes the clip with the audio intact. It clears corner bugs, watermarks, lower-thirds, titles, and labels — anywhere in the frame, not just the bottom. Charged by clip length, refunded if a job fails.
On-screen text lives all over the frame
Subtitles sit in a predictable strip along the bottom. The rest of a video’s text does not. A channel bug hides in a corner, a sponsor lower-third slides across the lower third, a title card fills the centre, a price tag or “NEW” sticker pops wherever the editor dropped it. Cleaning all of that means looking at the whole frame, not one band.
And like hardcoded captions, this text is baked into the pixels. There is no layer to hide and no menu to switch it off — the lettering is part of the picture, sitting on top of whatever was behind it. Removing it cleanly means rebuilding that hidden surface across every frame while the scene keeps moving.
That is what this tool does automatically: it finds each block of text, tracks it as the shot changes, erases the glyphs, and reconstructs the moving background underneath, then re-encodes the result. Static elements like a fixed corner watermark are the easiest of all, because the surrounding frames give the AI plenty to rebuild from.
How to remove text in 3 steps
- 1
Upload the video
Drag an MP4, MOV, or WebM onto the upload card, or tap to browse. Clips up to 100 MB and ten minutes upload straight from your browser to secure storage, so a screen recording or a long export goes up without hitting a server limit. A progress bar tracks the transfer the whole way.
- 2
Switch to “All on-screen text”
This page opens in text mode, so the AI hunts for burned-in text anywhere in the frame — not just a caption strip along the bottom. Leave the region on “Whole frame” to catch corner bugs, top banners, and centred labels; or narrow it to a strip if every bit of text sits in one band. Pick best-quality or smaller-file output for the export.
- 3
Download the clean video
Tap Remove text. The AI tracks each block of text across every frame, paints it out, and rebuilds the moving picture underneath, then re-encodes the clip. When it finishes the cleaned video plays right here with a Download button. The original audio, length, and timing are untouched.
Text this removes — and where to aim
| Text type | Typical example | Best region |
|---|---|---|
| Channel bugs & watermarks | A semi-transparent username or logo in the corner | Whole frame |
| Lower-thirds & name plates | Speaker names, titles, and graphic strips | Bottom strip |
| Title cards & headlines | Big intro text or a centred quote | Whole frame |
| Hardcoded captions | Burned-in subtitle lines you can't toggle | Bottom strip |
| Stickers & overlay labels | "NEW", price tags, app-added text overlays | Whole frame |
What people use it for
Clean B-roll and stock-style footage
Strip channel bugs, usernames, and burned-in labels off clips you have the right to reuse, so the footage reads as neutral B-roll in your edit.
Reuse a render that shipped with text baked in
When the only copy of a clip already has titles or lower-thirds rendered into it, recover a text-free version to recut or relayout without the old graphics fighting the new ones.
Remove watermark text from your own exports
Tools and templates sometimes stamp a watermark into the output. Erase the burned-in text and keep the picture underneath intact.
Prep clips for re-captioning or translation
Clear the original on-screen text first, then add your own fresh titles or translated captions on a clean canvas.
Tips for cleaner results
Whole frame for scattered text, strip for a single band
If text appears in more than one place — a corner bug plus a bottom caption — keep the region on the whole frame. Only narrow to a strip when every piece of text genuinely lives in one horizontal band.
Static text over moving footage rebuilds cleanest
A fixed corner watermark over a moving scene is the easy case — the AI has plenty of surrounding frames to rebuild from. Text laid over fine, fast detail is harder and may leave faint residue on a few frames.
Quality mode for re-edits, size mode for sharing
Choose best-quality output when you'll recut or re-upload the clip; choose smaller-file when you need it light enough to send through chat or email.
Trim first — you pay by length
Processing and credits scale with the clip's duration, so cut it down to just the part you need before uploading rather than processing footage you'll throw away.
What it can and can’t do
It erases text — it doesn't read or translate it
The AI rebuilds the picture under the text; it never decodes the words. To translate, remove the original text here, then add a new track in your editor.
Hidden detail is reconstructed, not recovered
Where text covered part of a face or object, the AI predicts a plausible continuation from the surrounding frames — seamless over plain or moving backgrounds, an educated guess over intricate detail.
Only clean footage you have the right to edit
Removing a watermark, credit, or channel bug from someone else's video can carry its own legal weight beyond the underlying copyright. Use it on your own content or material you're licensed to edit.
Questions about removing text from video
More MagicRemover tools
Remove Subtitles from Video
The sibling tool tuned for the bottom caption track — hardcoded subtitles you can't switch off.
Remove Text from Image
The single-image version — erase captions, date stamps, and writing from one photo or screenshot.
Remove Watermark from Photo
Scrub diagonal © lines, stock banners, and logo overlays off still images you own.