Video Watermark Remover Github «Instant Download»

The AI analyzes frames before and after the watermark, tracking objects and filling the gap with generated textures.

#!/bin/bash for file in *.mp4; do ffmpeg -i "$file" -vf "delogo=x=50:y=950:w=180:h=60" "clean_$file" done This is the section where most articles get squeamish, but the reality is nuanced. video watermark remover github

For removing complex watermarks (semi-transparent text or animated logos), you need AI. These repositories use video inpainting —neural networks that predict what pixels should be behind the watermark. The AI analyzes frames before and after the

ffmpeg -i input.mp4 -vf "delogo=x=10:y=20:w=100:h=30:show=0" output.mp4 (Where x,y,w,h are the pixel coordinates of the watermark) stock footage sites)

Extremely fast, no quality loss outside the watermark zone, native to most systems. Cons: Leaves a slight blur patch if the watermark is large; only works on static (non-moving) watermarks. 2. Deep Learning / Inpainting (The Magic Eraser) Repository: zllrunning/video-object-removal or Sanster/IOPainting Language: Python (PyTorch) Difficulty: Hard

Invisible removal; can remove moving objects or text overlays. Cons: Requires a powerful GPU (NVIDIA CUDA cores), very slow (minutes per second of video), high RAM usage. 3. OpenCV-Based Batch Removers Repository: georgesung/watermark_removal Language: Python Difficulty: Medium

This approach uses computer vision to detect the watermark first. If you have a folder of videos from the same source (e.g., stock footage sites), the script can scan for the repeating logo pattern and remove it automatically without manual coordinate input.