An AI-Powered Framework for Real-Time YouTube Video Transcript Extraction and Summarization using Google Gemini

With the rapid growth of video content on platforms like YouTube, there is an increasing demand for automated systems capable of efficiently extracting and summarizing information. This paper presents an AI -powered framework for real-time transcript extraction and summarization of YouTube videos, utilizing Google Gemini, a generative AI model, to generate coherent and concise summaries. The framework employs the YouTube Transcript API for transcript extraction and uses a structured prompt design to generate bullet-point summaries, enhancing accessibility for users with time constraints or specific needs. Implemented as a Flask-based web application with CORS support, the system allows seamless integration into web environments, enabling users to input YouTube URLs, retrieve transcripts, and generate real-time summaries. Extensive testing across various video domains demonstrates the frameworks’s reliability and efficiency in delivering high-quality summaries, making it a valuable tool for applications in education, research, and content curation. This research offers an end-to-end solution for automated video transcription and summarization, addressing the need for more efficient content consumption in the digital age.