In the era of information overload, YouTube has emerged as a dominant platform for video-based content, with over 2.6 billion users and thousands of hours of video uploaded every hour. However, extracting relevant information from lengthy or unstructured videos can be time-consuming and inefficient, often leading to user frustration. This research presents the development of a Chrome extension that leverages Natural Language Processing (NLP) to summarize YouTube video transcripts in real time. By converting video audio into textual transcripts and applying extractive summarization techniques, the extension delivers concise summaries that allow users to grasp key insights without watching entire videos. The extension integrates seamlessly into the browser, providing an on-demand summarization feature activated while a video plays in the background. This tool significantly enhances user productivity by eliminating the need to sift through irrelevant or redundant content. Performance evaluation indicates high accuracy in extracting meaningful content, with summaries generated in under a minute. This research contributes to improved information accessibility and offers a scalable solution for efficient content consumption in digital learning and media exploration.
YouTube Summarization, Transcript Summarizer, Natural Language Processing (NLP), Chrome Extension, Video Content Extraction, Information Retrieval, Extractive Summarization, Digital Learning, Text Summarization, Time-saving Tool.
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