Sora 2 AI Watermark Remover: Remove Sora Watermarks Cleanly

Sora 2 AI Watermark Remover eliminates watermarks from Sora 2 videos using frame-by-frame AI analysis. The tool identifies the watermark, repairs the area through inpainting, and renders a clean final version. Accessible through a web browser, it allows you to upload a file, monitor the progress, and retrieve the finished video from the output directory.

Under the hood, the system scans every frame to pinpoint the watermark's location. The algorithm then fills the designated area using data from surrounding pixels before reassembling the frames into a seamless video.

System Requirements

• Python 3.10 or newer
• Windows, macOS, or Linux
• At least 4GB of RAM
• FFmpeg installed and added to your system PATH

Installation

Clone the repository and install the necessary dependencies:

git clone https://github.com/boukrat/sora2-watermark-remover
cd sora2-watermark-remover
pip install -r requirements.txt

How to Use It

There are two ways to run the tool.

For manual edits, run python main.py. This opens a local interface in your browser. Simply drag and drop your Sora 2 video into the window, and the cleaned file will be saved in the output folder.

For integration into other workflows, use the server version by running python server.py. This starts a service on port 8000 that can be accessed via scripts or frontend applications. It utilizes the same processing engine but operates in a headless environment.

Both methods perform the same core task; one provides a graphical interface for ease of use, while the other is optimized for background processing.