I recently ran into a common issue with AI-generated videos — dynamic watermarks that move across frames. Instead of manually editing them out, I decided to experiment with AI-based cleanup and wrote a small tool called *Sora2 Video Cleaner*.

It uses frame-level detection and temporal consistency to automatically identify and smooth out watermark regions, restoring a cleaner video output. The goal isn’t to “crack” anything proprietary, but to help creators improve their visuals and repurpose their content more cleanly.

Try it here: [https://sora2video.us](https://sora2video.us)

Would love feedback from the community — especially around: - Efficient ways to handle temporal noise in video cleanup - Integrating real-time processing in web pipelines

Built with Python + OpenCV + some lightweight diffusion-based filters. Happy to share more details if anyone’s curious!