1Deepali Kishor Jadhav, Assistant Professor,
2Samiksha Raghunath Devardekar,
3Amruta Bharat Talandage,
4Onkar Tanajirao Bhokare,
5Akshata Ashok Kudale,
6Vaishnavi Shivaji Patil,
*Corresponding Author Deepali Kishor Jadhav, Assistant Professor,
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.
Video Summarization, Artificial Intelligence, Text-To-Speech, Multilingual Transcription, Streamlit Interfac