Drag & drop a file here, or click to browse
MP4, MOV, AVI, MKV, WebM · Up to 2GB
See the difference →
Free AI caption remover for hardcoded captions, subtitles, timestamps, and text overlays. Remove text from video online with AI, including titles, social media captions, unwanted words, dates, usernames, lower thirds, and floating overlays. UnmarkAI erases the pixels and redraws the background instead of covering the area with blur.
Use it as a general text eraser for videos you own or are authorized to edit. Upload, select titles, usernames, timestamps, lower thirds, or other text overlays, then 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 titles, social captions, timestamps, usernames, date stamps, lower thirds, or text overlays removed without cropping the frame or covering the area with blur.
Creators can remove 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 overlay, and let AI inpainting remove the words frame by frame. The background is reconstructed behind the text; review the preview because visual results vary with the source video.
Upload a video containing any on-screen text you want to remove — titles, social 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 hidden background from nearby texture, color, and detail. Preview the result side-by-side before downloading; visual quality and output details depend on the source video.
The before-and-after examples on this page illustrate common text-cleanup situations. They are not a benchmark or a promise that every source video will produce the same result.
Use the preview to inspect the cleaned area at normal viewing size. Check text residue, edge detail, texture continuity, and any change to nearby motion before exporting a file for publication.
These examples are presented to explain the workflow and its limits. Your result depends on the source file, text placement, motion, compression, and the amount of background hidden by the text.
Connect signed uploads, async jobs, and webhook updates to your product or pipeline.
View API documentationSend your video with a signed URL.
Start a job and save its ID.
Use webhooks or polling for updates.
Download the completed file.
Use UnmarkAI to remove words from video files when the text is burned into the pixels. These common use cases work best when a title, username, lower third, date, or floating label 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 and campaign teams can update owned episode labels and promotional lower thirds while preserving approval numbers, disclaimer text, age ratings, and other required notices. Use the subtitle-specific page when the main issue is burned-in dialogue captions.
UnmarkAI accepts MP4, MOV, AVI, MKV, and WebM files for many common burned-in text scenarios. Upload the highest-quality authorized source available; results depend on text placement, scene detail, motion, and compression.
MP4, MOV, AVI, MKV, and WebM uploads are supported for social clips, tutorials, ads, and screen recordings.
Examples include English, Chinese, Japanese, Korean, Spanish, Portuguese, Arabic, and Cyrillic burned-in text. Review the preview for your specific script and styling.
Bold, outlined, shadowed, colored, animated, or semi-transparent captions may be selected for cleanup; complex styling can require closer review.
1080p and below usually process fastest. 4K source files within the upload limit can provide more background detail, but they still need preview review before delivery.
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 to remove selected text pixels and reconstruct the hidden background from nearby color, texture, and motion context. Results can vary with the source scene.
| Method | Frame integrity | Output quality | Ease of use |
|---|---|---|---|
| AI Inpainting | Can preserve the existing composition | Background is reconstructed from nearby context | Upload, select, preview, then export |
| 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 fills the selected area using nearby texture, color, lighting, and motion context; inspect the preview before publishing.
Cleanup can preserve the existing composition instead of cutting away the subtitle band, lower frame, or corner overlay.
Blur and mosaic patches can make the old text location obvious; compare the preview to decide whether the inpainting result is suitable for publication.
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.
Files are processed securely to provide the service. Read the Privacy Policy for retention and service-provider processing details.
Strict guidelines against removing attributions from unauthorized third-party content.
Practical answers for safe, high-quality cleanup workflows.
Often, yes. UnmarkAI uses AI inpainting to erase selected on-screen text and reconstruct the background without automatically reframing the video. Review the preview because source quality, motion, and scene detail affect the visual result.
UnmarkAI can address many kinds of burned-in text rendered into video pixels, including title cards, lower thirds, social-media username overlays, timecodes, dates, promotional banners, camera overlays, and screen-recording text. Results depend on the script, styling, position, motion, and the background covered by the text.
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.
Yes. The UnMarkAI Video Text Removal API lets developers upload authorized source videos, create asynchronous full-frame or selected-area removal jobs, track progress with webhooks or polling, and retrieve the cleaned result. Idempotency keys make request retries safer for batch pipelines and product integrations.
Choose a rights-aware cleanup or localization workflow for content you are authorized to edit.
Get 10 points on sign up · No credit card required
