Burned-in text on a video — also called hardcoded text, rendered text, or on-screen overlays — refers to any writing, numbers, or characters that are permanently embedded into the video frame pixels during export. Unlike soft subtitle tracks (SRT, VTT) that can be toggled on or off in a media player, burned-in text cannot be removed by changing settings; it must be physically erased and the underlying background reconstructed. Common types include title cards, end credits, social media username overlays (TikTok, Instagram, YouTube), lower-third speaker captions, timecodes, date stamps, camera overlays, branded promotional banners, and screen recording labels. According to a 2025 Wyzowl survey, 87% of marketers now use video content, and a significant portion of social-shared videos carry platform-specific text overlays that become permanent when the video is downloaded or screen-recorded. Removing this burned-in text from videos you own or are authorized to edit requires AI inpainting — a technique that detects text pixels frame by frame, removes them, and fills in the original background without cropping or blurring.
UnmarkAI uses AI inpainting to erase any type of burned-in text from video frames. Unlike editable subtitle tracks, on-screen text is rendered into the pixels and cannot be toggled off — it must be removed and the area reconstructed.
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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. According to HubSpot's 2025 Video Marketing Report, short-form social videos — the category most likely to carry burned-in text — account for the fastest-growing segment of online content, with platforms like TikTok, Instagram Reels, and YouTube Shorts automatically adding username and effect overlays that become permanent upon download.
Keep the workflow simple: upload, guide the cleanup area, preview the result, then download the cleaned export.
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.
AI inpainting handles any text that is burned into the video frame. These three types — title cards, social media overlays, and lower-third captions — are the most common text removal requests and produce clean results when the overlay stays in a predictable region.
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.
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.
Text removal is most useful when you need a clean version of a video that has permanent on-screen writing. These are the most common scenarios where erasing burned-in text solves a real production problem.
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.
Cropping cuts away part of the frame where the text sits — losing visual content and changing the composition. Blurring leaves an obvious distorted patch that looks unprofessional. AI inpainting removes the text and intelligently fills in the background so the result looks like the text was never there.
| 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 |
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.
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 that is rendered into the video pixels. This includes title cards and chapter headings, end credits, lower-third speaker captions and name bars, social media username overlays (TikTok, Instagram, YouTube), timecodes and date stamps, branded promotional banners and sponsorship labels, camera overlays, and screen recording text such as app names and notification banners. It works on text in any language, font style — bold, outlined, shadowed, colored, or semi-transparent — and position on the frame. As long as the text is part of the pixel data and not a toggleable subtitle track, the AI can detect, erase, and reconstruct the background behind it.
Upload your video to UnmarkAI, select the area where the text appears, and let the AI erase it. You can try text removal on a short clip for free to evaluate the quality before committing to longer videos.
UnmarkAI targets only the text region and preserves the rest of the frame at original resolution. In most cases the reconstructed area is visually seamless. Complex or fast-moving backgrounds behind the text may show minor imperfections.
Yes. UnmarkAI runs in the browser, so the upload, select, preview, and download workflow works on both mobile and desktop without installing an app.
UnmarkAI supports MP4, MOV, AVI, MKV, and WebM uploads. For best results, upload the highest-quality source file available — more detail means better background reconstruction.
Processing time depends on video length, resolution, and the size of the text area. A typical 60-second clip at 1080p processes in a few minutes. Longer or higher-resolution videos take proportionally more time.
Yes. Each upload becomes a separate task in your queue. You can upload and process multiple videos in sequence without waiting for one to finish before starting the next.
UnmarkAI processes uploads over a secure connection and does not share files with third parties. Files are retained only as needed to complete your task.
Removing text is legal when you own the content, have licensing rights, or have the owner's written permission. Common lawful scenarios include cleaning up your own recordings, removing outdated branded overlays from videos you produced, stripping platform-specific text when cross-posting your own content, and editing licensed stock media where the license permits derivative works. You should not remove text overlays from copyrighted content you do not have rights to modify, as this may violate copyright, trademark, or attribution requirements. Always verify your rights before processing third-party material.
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 that was captured during the recording.
