YouTube Transcript Summarizer

Authors

  • Hiteshri Shirtavde Assistant Professor, Department of Computer Science, K.C. College of Engineering, Thane, India
  • Ayushmati Swain Student, Department of Computer Science, K.C. College of Engineering, Thane, India
  • Simmi Singh Student, Department of Computer Science, K.C. College of Engineering, Thane, India
  • Tushar Singh Student, Department of Computer Science, K.C. College of Engineering, Thane, India

DOI:

https://doi.org/10.5281/zenodo.11221964

Keywords:

Chrome extension, Natural Language Processing, User experience, Video transcript, YouTube transcript summarizer

Abstract

The "YouTube Transcript Summarizer" is a pioneering Chrome extension project designed to enhance the user experience by providing concise and insightful summaries of YouTube video transcripts. Leveraging Natural Language Processing (NLP) techniques, the extension aims to empower users by offering a convenient and time-efficient way to comprehend video content without the need for full viewing. The extension integrates seamlessly into the YouTube interface, allowing users to generate accurate text summaries from video transcripts at their discretion. This innovative tool utilizes advanced algorithms to process the transcript data, extracting key themes, concepts, and relevant information from lengthy video content. Through a user-friendly interface, it presents condensed summaries, enabling users to grasp the essential points, main arguments, and crucial details of the video without watching the entire content. The extension prioritizes accuracy and efficiency, ensuring that the generated summaries are comprehensive and informative. Its development involves the application of machine learning models and text analysis techniques to accurately condense the content into a coherent and understandable summary. Ultimately, the "YouTube Transcript Summarizer" project aims to revolutionize how users engage with video content on YouTube, offering a time-saving and insightful solution for obtaining quick, meaningful insights from video transcripts.

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Published

20-05-2024

Issue

Section

Articles

How to Cite

[1]
H. Shirtavde, A. Swain, S. Singh, and T. Singh, “YouTube Transcript Summarizer”, IJRAMT, vol. 5, no. 5, pp. 102–106, May 2024, doi: 10.5281/zenodo.11221964.