YouTube Transcript Summarizer

With the ever-increasing volume of video content uploaded to YouTube daily, users often struggle to find and consume relevant information efficiently. To address this challenge, we developed a YouTube Transcript Summarizer that automatically generates concise summaries from video transcripts. The system begins by extracting the transcript from a provided YouTube URL, then processes the text using natural language processing (NLP) techniques such as tokenization, stop-word removal, and sentence segmentation. After preprocessing, the system applies a combination of extractive and abstractive summarization methods to produce a clear and coherent summary that captures the essential points of the video. The tool is designed to handle videos across a wide range of topics—including education, news, and entertainment—and supports multilingual input, making it accessible to a global audience. It features a simple web-based interface where users can enter a link and instantly receive the corresponding summary. Performance is evaluated using ROUGE metrics to ensure summary quality and relevance. By offering quick insights into lengthy videos, this summarizer serves as a valuable tool for students, educators, professionals, and casual viewers looking to save time and enhance their content consumption experience. keywords—Natural language processing, text summarization, YouTube automation