General skillMedia, audio and video

clean-vid

Remove video watermarks and objects with LaMa neural inpainting.

Stars
0
Forks
0
License
MIT
Updated
Updated Jun 2, 2026

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Project overview

This skill uses LaMa-based inpainting to remove corner watermarks, logos, date stamps, microphones, and other tracked objects from MP4 videos while leaving audio untouched. It can process folders and skip completed files, but is tested on macOS, needs ffmpeg plus Python and a model download, and cannot handle large-area or audio watermarks.

Repository facts

Primary language
Python
License
MIT
Repository updated
Jun 2, 2026
Default branch
main

Resource types

General skill

Use cases

Media, audio and video

Platforms

Claude Code, Codex, and more

Runtime

Local

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