AI Watermark & Caption Remover
Remove subtitles and captions from any video
Remove watermarks, captions, and text from videos and images with AI. The best AI watermark remover — automatically detects and cleanly erases burned-in subtitles, logos, and text overlays while reconstructing the original scene.
Burned-in text, watermarks, and logos are among the most common obstacles when repurposing video content. A watermark remover AI analyzes each frame, identifies overlaid text or graphics, and reconstructs the original scene behind them. This is far more effective than manual inpainting, especially for video where consistency across hundreds of frames is essential.
ModelPix's caption removal tool works as both a text remover for images and a logo remover from video. The AI automatically detects text regions without requiring you to draw masks or specify coordinates. It then fills in the removed areas with contextually appropriate content, preserving the natural appearance of the background scene.
The ability to erase watermarks from videos is particularly valuable for content creators who need to repurpose stock footage, remove outdated branding, or strip hardcoded subtitles before adding new translations. The tool processes video frame by frame, ensuring consistent results even when the background changes or the camera moves.
Caption removal is priced at two credits per second, making it one of the most affordable video tools on ModelPix. Trim your footage to just the sections that need cleaning before processing to keep costs minimal. Free credits at signup let you test the tool on a short clip before purchasing additional credits.
Common use cases for a watermark remover include cleaning stock footage for commercial projects, stripping hardcoded subtitles before adding professional translations, removing outdated branding from repurposed corporate videos, and preparing social media reposts without embedded text overlays. The ability to remove text from image and video files covers both still and motion content.
Compared to manual frame-by-frame inpainting in video editing software, which can take hours for a single minute of footage, the AI watermark remover processes the entire clip automatically. Competing removal tools often leave ghosting artifacts or color shifts where text was erased. ModelPix reconstructs the underlying scene with contextual awareness for cleaner fills.
Technically, the AI uses a segmentation model to identify text and graphic overlay regions, then applies a temporal inpainting network that fills each region with content consistent across neighboring frames. This temporal awareness prevents flickering and ensures moving backgrounds remain smooth even where captions previously obscured the scene.
A workflow tip is to combine caption removal with the dubbing tool for a complete localization pipeline. First strip the original subtitles, then dub the audio into the target language. This two-step process produces a cleanly localized video without residual text from the original language, ready for distribution to international audiences.
Parameters
| Parameter | Description | Required |
|---|---|---|
| video | The video containing burned-in subtitles or captions to remove. Any standard video format accepted. | Yes |
How to Use
Open the Caption Removal tool
Navigate to AI Generation and select Caption Removal from the tool list.
Upload your video
Select the video containing the subtitles or captions you want removed.
Start processing
Click Generate. The tool auto-detects text regions and removes them frame by frame.
Preview the result
Review the cleaned video to ensure all text has been removed and the background looks natural.
Download the clean video
Download the final video with captions removed, ready for re-editing or re-purposing.
Example Use Cases
Tips & Recommendations
Works best on videos where the subtitles are in a consistent position and color throughout.
Higher resolution videos give the AI more information to reconstruct the area behind the captions.
If some text remains after processing, the text may be very close to scene elements — try cropping the area.
This tool is priced per second, so trim your video to only the sections that need cleaning to save credits.