Retrieving specific information from vast video data on platforms like YouTube presents a formidable challenge due to the limitations of traditional metadata-based methods. These methods often struggle to capture the intricacies of video content accurately. Additionally, the sheer amount of content uploaded to YouTube ensures that a comprehensively nuanced search would take an unreasonable amount of time and effort. By storing YouTube transcripts and developing a dedicated website, this solution aims to enhance search experiences, optimizing performance while maintaining a balance between speed and accuracy. The system enables flexible searches with sorting and filtering capabilities, empowering users to efficiently locate videos based on specific words or phrases they recall. Evaluation encompasses rigorous unit testing, integration testing, user acceptance testing, and user studies to ensure both functionality and user satisfaction. Overall, the website provides an effective tool for navigating and accessing video content with precision and ease.