This project offers a specialized tool for removing watermarks from OpenAI Sora 2 AI-generated videos, available for Windows and macOS. It caters to users seeking professional-grade, clean video output from Sora 2 creations, providing efficient batch processing and quality preservation.

How It Works

The tool utilizes a Python-based architecture with dedicated modules for watermark detection, removal algorithms, and video processing. It leverages OpenCV and NumPy to identify Sora 2 watermark patterns and apply advanced cleaning techniques, aiming to maintain the original video quality.

Quick Start & Requirements

• Primary install / run command:
  • Clone the repository: git clone https://github.com/tnbeznlacut/sora2-watermark-deleter-windows-macos.git
  • Navigate to the directory: cd sora2-watermark-deleter-windows-macos
  • Install dependencies: pip install -r requirements.txt
  • Run: python main.py --input video.mp4 --output clean_video.mp4
• Non-default prerequisites and dependencies: Python 3.10+, OpenCV (Latest), NumPy (Latest).
• Links: GitHub repository: https://github.com/tnbeznlacut/sora2-watermark-deleter-windows-macos

Highlighted Details

• Exclusively designed for OpenAI Sora 2 videos.
• Features automatic watermark detection and advanced removal algorithms.
• Supports batch processing for multiple videos.
• Aims to preserve original video quality.

Maintenance & Community

• No specific details on contributors, sponsorships, or community channels (like Discord/Slack) are provided in the README.

Licensing & Compatibility

• License type: GPLv3.
• Compatibility notes: The GPLv3 license imposes copyleft restrictions, meaning derivative works must also be open-sourced under GPLv3. This may restrict its use in closed-source commercial applications without careful consideration of license obligations.

Limitations & Caveats

This tool is strictly limited to OpenAI Sora 2 AI-generated videos and is intended for educational and personal use, requiring users to respect content ownership. No explicit performance benchmarks or support for formats beyond MP4 are detailed.