๐ฌ AI Video Watermark Remover
Remove watermarks from videos using advanced computer vision techniques!
โก Features:
- Auto-detection of watermarks
- Manual mask support
- Temporal consistency for better results
- Multiple inpainting algorithms
๐ค Input
๐๏ธ Settings
Detection Method
Automatically find watermark regions
100 255
Processing Options
Improves results by analyzing multiple frames
โจ Output
How to Use:
- Upload Video: Click to upload or drag & drop your video
- Choose Method:
- โ Auto-detect: For solid, bright watermarks (logos, timestamps)
- ๐ Manual mask: For complex or semi-transparent watermarks
- Adjust Settings:
- Increase threshold if detecting too much
- Decrease threshold if missing watermark
- Process: Click the button and wait
Best Practices:
- Solid watermarks: Use auto-detect with high threshold (200-240)
- Faint watermarks: Lower threshold (150-180)
- Complex watermarks: Create a manual mask in any image editor
- Temporal consistency: Keep ON for videos with static watermarks
Inpainting Methods:
- Telea: Fast, good for most cases
- Navier-Stokes (NS): Slower but better quality for complex textures
Creating Manual Masks:
- Take a screenshot from your video
- Open in any image editor (Paint, Photoshop, GIMP)
- Paint the watermark area WHITE
- Keep everything else BLACK
- Save as PNG/JPG and upload
Limitations:
- Moving watermarks are harder to remove
- Very large watermarks may leave artifacts
- Processing time increases with video length
Algorithm Details:
This app uses:
- Edge detection: Finds watermark boundaries
- Corner detection: Identifies logo corners
- Brightness analysis: Detects bright/dark watermarks
- OpenCV inpainting: Fills detected regions
- Temporal analysis: Uses multiple frames for consistency
Algorithms Used:
Watermark Detection:
- Canny edge detection
- Harris corner detection
- Brightness thresholding
- Morphological operations
Inpainting:
- Telea algorithm (Fast Marching Method)
- Navier-Stokes based method
Temporal Consistency:
- Cross-frame mask refinement
- Persistent region detection
For Better Results:
For production use, consider deep learning models:
- ProPainter (ICCV 2023) - State-of-the-art
- E2FGVI (CVPR 2022) - Fast and efficient
- DiffuEraser (2025) - Diffusion-based
References:
Made with โค๏ธ using Gradio | Enhanced with OpenCV
โญ Star on ProPainter for ML-based watermark removal