MEET RECAP: Online Meet Summarizer

The COVID-19 pandemic has caused people to rely more and more on online communication tools, which has resulted in an astounding amount of data from virtual meetings and discussions across various platforms such as Zoom, Slack, Microsoft Teams, Discord, and others. The increase in online interactions has led to a massive information overload, which makes it difficult for people to efficiently sift through lengthy meeting transcripts in order to extract important insights. Meeting summarizers have become essential tools providing a simplified answer as a result of the realization of how important it is to deal with this information overload. These summarizing tools save users the tiresome job of reading through lengthy transcripts by providing an effective way to extract relevant information from dense meeting recordings. However, there aren't many thorough studies available on meeting summarizers. This research paper aims to provide important insights and a thorough understanding of the current landscape by conducting an in-depth analysis of speech-to-text meeting summarization methods. This will pave the way for future advancements and improvements in the field of meeting summarization technology. In this research paper, we aim to clarify the features and complexities of speech-to-text meeting summarizers, highlighting their potential for recording spoken material into written form, highlighting important points, and producing short and informative summaries. In addition, our objective is to examine the effectiveness and constraints of these instruments in managing a range of meeting configurations, language variations, and contextual details. Through this detailed exploration, our goal is to make a substantial contribution and promote a thorough knowledge of speech-to-text meeting summarizing techniques