Video content online has gone exponentially increased. The process of separating hours of footage to produce a detailed and derived information is inefficient and very time-consuming. This is where Clipsum comes in, a web application that is meant to process inputted video URLs and generate a summarized version along with the key points. The Clipsum platform uses highly advanced NLP techniques and machine learning algorithms while processing video transcriptions, gathering compact summaries. The paper outlines the design, development, and approach taken to provide an easy and accurate establishment of the Clipsum platform. Results thus far indicate that Clipsum dramatically reduces the time spent consuming video content without sacrificing the integrity of information presented.