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GRENZE International Journal of Engineering and Technology Vol. 9 (2023), Issue 2

YouTube Video Transcript Summarizer using NLP

Authors

Hemil Sheth, Kalash Vishwakarma, Sobiya Shaikh, Prapti Sonawane, Vaishali Hirlekar

Abstract

This research suggests utilizing natural language processing to summarize the YouTube video transcript in a way that preserves important details. Around one-third of YouTube users in India who view videos on their mobile devices spend more than 48 hours each month on the platform, according to a Google study. It has gotten tougher to sit through these films, some of which may go longer than they should. Our efforts can even be in naught if we can't find the information we need in them. It can take a lot of time and effort to find movies that provide the information we are really seeking for. There are a lot of online videos, for instance, where the speaker wants to capture the audience's attention, but we won't understand the message unless we watch the entire video. The built-in model accepts links to YouTube videos and creates summaries for each one. It also gives the user the ability to choose the algorithm and the percentage of summaries they want to create. Another feature that the user has access to is the ability to transform the generated summary from text to speech and to translate it into the Hindi language

Pages: 110 - 115