The Super Resolution demonstration uses Amazon SageMaker running the Real-ESRGAN and SwinIR upscaler AI models to enhance the resolution and visual quality of archived video content. Media companies, broadcasters, and content owners can leverage this functionality to breathe new life into their legacy video libraries. By applying advanced machine learning techniques, the demonstration upscales and sharpens low-resolution footage, transforming pixelated or blurry videos into crisp, high-definition content. This process unlocks new monetization opportunities by enabling the repurposing and distribution of archival footage across modern platforms and devices. Additionally, improved visual quality can enhance viewer engagement and satisfaction, making historical or nostalgic content more appealing to contemporary audiences.