Sora 2 Watermark Cleaner Pro is an advanced system designed to remove embedded watermarks from OpenAI Sora 2 video outputs. It targets content creators, researchers, and users who require pristine, artifact-free AI-generated video footage for commercial projects, portfolios, or analysis, offering broadcast-quality results.

How It Works

The system employs a sophisticated approach combining a "Neural Detection Engine" for identifying complex watermark signatures using ML-based recognition and "Adaptive Inpainting" for context-aware pixel reconstruction. This allows for the seamless elimination of watermarks while maintaining original frame integrity. A multi-threaded pipeline ensures efficient processing, enabling hours of footage to be processed in minutes, with a focus on a lossless workflow that preserves codec, bitrate, and color space.

Quick Start & Requirements

• Installation: Clone the repository (git clone https://github.com/uqogihujomuwhiff/sora2-watermark-cleaner-pro.git), navigate into the directory, and install dependencies with pip install -r requirements.txt. Mac users can utilize a provided DMG bundle.
• Prerequisites: Python 3.10 or higher, 8GB RAM, and 2GB of free storage are required. A CUDA-compatible GPU is optional but provides a significant speedup (up to 10x).
• Links: Project repository: https://github.com/uqogihujomuwhiff/sora2-watermark-cleaner-pro.git

Highlighted Details

• Performance: On a 1080p 60-second video, CPU processing (i7-12700) takes approximately 8 minutes, while a GPU (RTX 3060) completes it in about 45 seconds. For 4K 60s videos, CPU time increases to ~32 minutes, versus ~3 minutes on GPU.
• Supported Formats: Accepts MP4, MOV, AVI, MKV, and WebM inputs, with outputs in MP4 (h264/h265), MOV (ProRes), and AVI.
• Core Capabilities: Features a Neural Detection Engine, Adaptive Inpainting, a Multi-threaded Pipeline, Lossless Workflow, and both CLI and GUI modes.

Maintenance & Community

GPU acceleration has been implemented. Future roadmap items include real-time preview mode and a cloud processing API. No specific community channels (e.g., Discord, Slack) or notable contributors are listed.

Licensing & Compatibility

The project is licensed under the GNU General Public License v3.0 (GPL-3.0). This is a strong copyleft license, requiring any derivative works to also be distributed under the GPL-3.0. This may impose restrictions on integration into closed-source commercial products.

Limitations & Caveats

Watermark removal may violate content licensing agreements, and users are responsible for complying with OpenAI's terms of service and applicable copyright laws. The software is designated for educational and research purposes. Real-time preview and cloud processing features are not yet available.