GenAI Based YouTube Video Summarizer
DOI:
https://doi.org/10.5281/zenodo.17926249Keywords:
Video Summarization, Artificial Intelligence, Text-To-Speech, Multilingual Transcription, Streamlit InterfaceAbstract
This paper proposes an intelligent, web-based application—AI video summarizer—that efficiently extracts, Tran- scribes, and summarizes YouTube video content using advanced AI models such as Google Gemini. By simply entering a video link, users can obtain multilingual transcripts (in English, Hindi, and Marathi), concise summaries, and time stamped highlights of key moments. Furthermore, the application converts the generated summaries into audio using GTTS and offers options to download or copy full transcripts. Built with Streamlit, it provides an interactive and user-friendly interface. This solution addresses the growing challenge of overwhelming digital video content, offering a more accessible, time-saving, and language- inclusive way to understand and utilize video information across various fields.
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Copyright (c) 2025 Deepali Jadhav, Samiksha Raghunath Devardekar, Amruta Bharat Talandage, Onkar Tanajirao Bhokare, Akshata Ashok Kudale, Vaishnavi Shivaji Patil
This work is licensed under a Creative Commons Attribution 4.0 International License.
Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.
