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This Python tool leverages yt-dlp for high-quality YouTube video downloads, OpenCV for frame extraction, and SSIM from scikit-image to detect and save only structurally distinct frames. Frames are timestamped and dynamically styled for readability, then compiled into a high-resolution landscape PDF using FPDF.