Video Text Summarizer
Author(s): 1. Afreen Shah, 2. Rakhi Gupta
Authors Affiliations:
- Afreen Shah , MSc. IT Student, K.C College, Churchgate, Mumbai, India
- Rakhi Gupta, Head of Department, Department of IT K.C College, Churchgate, Mumbai, India
In today's digital landscape, video has become a dominant medium for communication and information sharing. Extracting key insights from lengthy videos, such as educational lectures, is often challenging and time-consuming. The proposed Video Text Summarization System addresses this challenge by automating the creation of concise and informative text summaries from video content. The system follows a structured, multi-stage process: audio is first extracted from videos, then converted into text using advanced speech-to-text technology. The resulting transcripts are refined through comprehensive text preprocessing to ensure clarity and coherence. By leveraging both extractive and abstractive summarization methods, the system condenses essential information efficiently. Scalable and adaptable, this solution is ideal for applications in education, professional environments, and content creation.
Afreen Shah, Rakhi Gupta(2025); Video Text Summarizer, International Journal of Research Culture Society, ISSN(O): 2456-6683, Volume – 9, Issue – 3., Pp.131-134. Available on – https://ijrcs.org/
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