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Remove text from video online with AI, including hardcoded subtitles, social media captions, unwanted words, dates, usernames, and floating overlays. UnmarkAI erases the pixels and redraws the background instead of covering the area with blur.
Use it as a video subtitle remover, caption remover, or general text eraser for videos you own or are authorized to edit. Upload, select the text area, preview, and download a clean version in your browser.
AI video text removal means erasing words that are already burned into the video pixels, then reconstructing the hidden background behind them. It is different from turning off an SRT or VTT subtitle track. UnmarkAI is built for owned or authorized clips that need hardcoded subtitles, captions, timestamps, usernames, date stamps, or text overlays removed without cropping the frame or covering the area with blur.
Creators can remove hardcoded subtitles, social captions, title cards, lower thirds, usernames, timestamps, date stamps, screen recording labels, promotional bars, sponsor text, and other fixed words from videos they own, license, produce for clients, or have explicit permission to edit. The clean export can then be republished, localized, re-captioned, or updated with new campaign text.
On-screen text is any writing, numbers, or characters that are rendered directly into the video pixels during the final export. Unlike soft subtitle tracks (SRT, VTT) that can be toggled on or off in a media player, burned-in text is fused into every frame and cannot be removed by changing playback settings. It includes everything from opening title cards and closing credits to social media username overlays, speaker name bars, timecodes, and branded promotional banners. HubSpot's 2025 video marketing statistics show how central short-form video has become for marketers, which makes clean reusable masters more important for creators working across TikTok, Instagram Reels, and YouTube Shorts.
Opening titles, chapter headings, end cards, and credit text that label or close a video segment.
TikTok handles, Instagram usernames, YouTube channel tags, repost labels, and platform captions burned into shared clips.
Speaker name bars, job titles, quote text, and hardcoded caption lines across the lower frame.
Timecodes, date stamps, camera metadata, app names, meeting timers, and screen recording tool labels.
Sponsor labels, discount codes, campaign copy, branded text bars, and other fixed promotional overlays.
Notification banners, participant lists, interface labels, and captured UI text from your own recordings.
Upload your video, select the text or subtitle area, and let AI inpainting remove the words frame by frame. The background is reconstructed behind the text, so the result stays cleaner than blur, mosaic, or cropping.
Upload a video containing any on-screen text you want to remove — titles, captions, usernames, timecodes, or branded overlays. Supported formats include MP4, MOV, AVI, MKV, and WebM. Use the highest-quality source for the cleanest result.
Draw a tight box around the area where the text appears. The AI identifies text boundaries within that region and tracks the area across every frame in the clip, even when the background moves behind it.
AI inpainting removes the text pixels and reconstructs the original background behind them — matching texture, color, and detail. Preview the result side-by-side, then download the clean export at original resolution.
Use UnmarkAI to remove words from video files when the text is burned into the pixels. These common use cases work best when the caption, subtitle, date, or floating text stays in a predictable area of the frame.
Beyond titles and captions, many videos carry timestamps, promotional text strips, and screen recording overlays that need to be removed before repurposing. These fixed-position overlays are ideal targets for AI cleanup.
On-screen text removal is legitimate when you own the content, have licensing rights, or need to clean up your own productions. It is not intended for stripping attribution or branding from third-party content you do not have rights to modify.
Short drama teams often need to remove source-language subtitles, approval numbers, disclaimer text, and fixed episode labels before translation, dubbing, or overseas distribution. Use this cleanup path to create a text-free vertical master from clips you own, license, or are authorized to adapt.
UnmarkAI processes all major video formats and can remove burned-in text in any language, font, or style. Upload the highest-quality source file available — higher bitrate gives the AI more detail to reconstruct the background behind the removed text.
MP4, MOV, AVI, MKV, and WebM uploads are supported for social clips, tutorials, ads, and screen recordings.
Remove English, Chinese, Japanese, Korean, Spanish, Portuguese, Arabic, Cyrillic, and other burned-in text.
Bold, outlined, shadowed, colored, animated, or semi-transparent captions can be selected for cleanup.
1080p and below process fastest; 4K files are supported and benefit from the extra background detail.
Remove burned-in text, platform marks, captions, timestamps, and outdated labels before reusing or localizing your own videos.
Remove platform handles, captions, tags, and repost labels before publishing owned clips to another channel.
Clean title cards, app labels, meeting banners, and interface text from lessons, webinars, and screen recordings.
Remove outdated sponsor labels, discount codes, seasonal offers, and promo text from existing brand footage.
Clear app names, notification banners, meeting timers, and participant lists from your own captures.
Choose a more specific guide if your video mainly contains subtitles, timestamps, creator marks, or short-drama overlays.
Removing text from a video is legal when you own the content, have licensing rights, or are editing with the content owner's written permission. Do not use this tool to strip attribution, branding, or watermarks from third-party content without authorization.
Use text removal on videos you created and control, with full editing and distribution rights.
Process stock media or partner footage only when the license permits derivative edits and overlay cleanup.
Clean platform text from your own TikTok, Reels, Shorts, or social clips before cross-posting.
Remove text after the content owner confirms the edit scope, purpose, and final delivery context.
Traditional blur or mosaic tools cover words with a visible patch. UnmarkAI uses AI inpainting: it detects the text pixels, removes them, and redraws the background with matching color, texture, and motion context so the cleaned area looks natural.
| Method | Frame integrity | Output quality | Ease of use |
|---|---|---|---|
| AI Inpainting | Full frame preserved at original resolution | Background seamlessly reconstructed | Fully automatic — upload, select, done |
| Cropping | Text area and surrounding content lost | Composition permanently altered | Manual — must reframe every clip |
| Blurring / Mosaic | Frame intact but visibly distorted | Obvious blur patch, unprofessional look | Simple but result is not publishable |
AI removes the selected text and fills the area using nearby texture, color, lighting, and motion context.
Keep the full frame instead of cutting away the subtitle band, lower frame, or corner overlay.
Blur and mosaic patches make the old text location obvious; inpainting is designed for publishable cleanup.
Avoid manual masking or clone-stamping across every frame when cleaning repeated text positions.
UnmarkAI is designed for creators and teams working with content they own, license, or have permission to edit. The product copy, terms, and upload flow all reinforce that boundary.
Designed to help you clean videos you own, license, or are explicitly authorized to edit.
Check the AI reconstruction frame-by-frame before exporting the final clean video.
Your uploads and exports are processed securely and never shared with third parties.
Strict guidelines against removing attributions from unauthorized third-party content.
Practical answers for safe, high-quality cleanup workflows.
Yes. UnmarkAI uses AI inpainting to erase on-screen text and reconstruct the background behind it. The full video frame stays intact at original resolution — no cropping needed.
AI can remove any burned-in text rendered into the video pixels: title cards, chapter headings, end credits, lower-third speaker captions, social media username overlays (TikTok, Instagram, YouTube), timecodes, date stamps, branded promotional banners, sponsorship labels, camera overlays, and screen recording text. It works on text in any language, font style, and position on the frame — as long as the text is part of the pixel data and not a toggleable subtitle track.
Yes. You can remove social media captions, usernames, dates, and other words from your own TikTok, Instagram Reels, or Shorts clips without cropping the video.
Subtitle removal is a specific case of text removal focused on burned-in caption text, typically at the bottom of the frame. Text removal covers a broader range — titles, credits, social handles, timecodes, branded banners, and any other on-screen writing in any position.
Yes. If you recorded the screen yourself, you own the content and can remove app names, notification banners, meeting timers, or any other text overlay captured during the recording.
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