International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Comparative Evaluation Of Website-Based Youtube Video Summarization Tools

Author(s) Ms. Varalakshmi S, Ms. Dhanalakshmi R
Country India
Abstract With the rapid enhancement of the video content online, specifically on platforms such as YouTube, users have encounter the difficulties in swiftly finding and in grasping pertinent information.Automated tools for summarizing videos have come into play as potential solutions; however, their efficiency in accurately capturing essential content, maintaining logical flow, and producing comprehensible summaries differs significantly. This research utilizes seven widely-used web-based YouTube video summarization tools: NoteGPT, Musely, REcall, AISummarizer, Notta, Side Space, and HARPA AI, dissimilarity in their performance in generating brief, reasonable, and informative summaries.

The assessment framework is centered around five criteria: Accuracy (A), Coverage (C), Coherence (Co), Readability (R), and Redundancy (Re). Each criterion receives a score ranging from 1 to 5, with a total possible score of 25. Performance comparison is standardized by calculating percentage scores. A comprehensive comparative chart is provided to illustrate the differences among the tools, and qualitative explanations clarify the observed performance trends. This research establishes a standardized, quantitative framework for assessing YouTube video summarization tools and provides valuable insights for users and developers in search of effective summarization solutions. It underscores the advantages and shortcomings of existing tools and acts as a guide for future enhancements in automated video summarization.
Keywords YouTube video condensation, automatic abstraction, factual correctness , scope of summarization, logical consistency, ease of understanding, unnecessary repetition, Side Space, NoteGPT, AISummarizer.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-28
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.64743
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E-ISSN 2582-2160
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