Summary This repository offers Sora 2 Unwatermark, a specialized tool for precise detection and removal of watermarks from OpenAI's Sora 2 AI-generated videos. It targets users in film production, marketing, and research needing clean Sora 2 footage for integration, analysis, or demonstrations, providing automated, high-fidelity watermark removal without visual degradation.

How It Works The core methodology employs frequency domain analysis using Fast Fourier Transform (FFT) to identify watermark signatures across temporal video sequences. It then uses spectral filtering and temporal coherence algorithms for isolation and suppression of watermark frequencies. Proprietary algorithms ensure zero-artifact processing, preventing banding or pixelation, while reconstructing clean frames with minimal collateral damage.

Quick Start & Requirements

• Installation: Clone the repo, cd into it, and run pip install -r requirements.txt.
• Prerequisites: Python 3.10+, 4 CPU cores, 6GB RAM, 1.5GB disk space. macOS users can use a DMG image.
• Execution: Standard: python main.py --video input.mp4 --output clean.mp4. High-quality: --mode precision. Batch: --directory.
• Resources: Windows/Linux installation walkthroughs are provided.

Highlighted Details

• Spectral Analysis Engine: FFT-based watermark frequency detection.
• Temporal Coherence Filtering: Ensures smooth frame transitions.
• Zero-artifact Processing: Proprietary algorithms minimize visual degradation.
• Automated Pipeline: Single-command execution.
• Format Flexibility: Supports variable framerates, resolutions, and color profiles.
• Performance: 30s 1080p video takes ~2 minutes (balanced mode) on specified hardware.

Maintenance & Community The development roadmap includes future GPU acceleration (CUDA/OpenCL), a web interface, and Docker containerization. No community links (e.g., Discord, Slack) are explicitly provided.

Licensing & Compatibility

• License: GNU General Public License v3.0 (GPL v3.0).
• Compatibility: GPL v3.0's copyleft requires derivative works to be open-sourced under the same license, potentially restricting proprietary integration. The tool is specifically calibrated for OpenAI Sora 2 watermarks and is incompatible with other AI generators.

Limitations & Caveats The current implementation lacks GPU acceleration, potentially leading to extended processing times for longer or higher-resolution videos. Planned features like a web interface and Docker support are not yet available, limiting deployment flexibility. Functionality is strictly limited to OpenAI Sora 2 generated content.