This repository implements a comprehensive toolkit for detecting and removing Google DeepMind's SynthID watermark from AI-generated images, primarily targeting Gemini models. It provides multiple bypass versions (V1–V4) that use pure signal-processing techniques—frequency-domain phase scrambling, JPEG degradation, elastic deformation, VAE round-tripping, and cross-color consensus codebook subtraction—to disrupt the embedded watermark while preserving visual fidelity. The codebase includes a drag-and-drop GUI, CLI tools, batch processing scripts, and a human-in-the-loop calibration workflow. It also contains extensive watermark investigation scripts that validated the watermark's presence in over 123,000 image pairs. While primarily an application (tool for watermark removal), it has a strong research character due to its analytical components and large-scale validation studies.