YouTube Video Summarization

YouTube Video Summarization tool combines machine learning and web development. This project aims to provide a reduced version of a video’s documentation. Lengthy videos frequently waste the user’s precious time and resources. The process of creating a concise summary of a text that encapsulates its key concepts is known as “text summarization.” The generated summaries might include new words and phrases not in the original text. The number of videos accessible on web platforms is always growing. The rapid annual growth of YouTube users may directly impact the number of videos produced. The likelihood that video creators will misrepresent the video’s original content in their lust for views is exceptionally high. Today, most industries rely more on online than offline resources, and few people have the time to watch lengthy recordings. A program that can sum up videos and save time is required to solve this issue. This project offers a solution to this issue by rephrasing transcripts of YouTube videos without missing the essential details using a system for creating video summaries using natural language analysis (NLP) by using Spacy and NLTK which is a framework to develop Python programmes for statistical natural language processing using real language data). To enhance user engagement even more, the video summarizer tool is being developed as a Chrome extension.