How to Remove Burned-In Captions from Video
Updated July 25, 2026 ยท Reviewed by Wipe AI
Step-by-step workflow
- Start with the highest-quality file and confirm you may edit the burned-in captions.
- Look for a clean source because use the clean source or disable the caption layer in the original editor when possible.
- Upload the video file to Wipe AI.
- Choose full-screen text detection.
- Preview a short section that includes motion and detailed background.
- Tighten the selected area if clean pixels are being changed, then process and download.
Why are burned-in captions difficult to erase?
Captions change every few seconds and often cover faces, hands, or detailed backgrounds. AI inpainting works frame by frame, using nearby color, texture, and motion to estimate the hidden background.
When is this workflow useful?
A common authorized use is preparing an owned master for a new language or a corrected caption track. Examples include open captions, translated dialogue, accessibility captions, and social-video caption lines.
What quality should you expect?
Small overlays on simple, slowly changing backgrounds are generally easier than large overlays across faces, hands, particles, reflections, or fast camera motion. Wipe AI outputs an H.264 MP4 up to 1080p. Test a short representative segment before spending credits on a long video.
Frequently asked questions
Can AI remove burned-in captions from a video?
Yes, when burned-in captions are visible pixels in a video you own or may edit. Wipe AI reconstructs the selected region rather than simply blurring it.
Why is a clean source better?
A clean source preserves the real background. Inpainting must estimate what was hidden and can struggle with faces, hands, fine text, or fast motion.
Which detection mode works for burned-in captions?
Full-screen text detection is the recommended starting point. Preview a short section before processing the full clip.
Will removal always look perfect?
No. Captions change every few seconds and often cover faces, hands, or detailed backgrounds. Results depend on how much of the frame is covered and how the background changes.