Published Paper Details:

In this digital era, a vast amount of digital data can be found on the internet for various purposes. However, manually summarizing this data is a challenging task. The internet is filled with chunks of information, making it crucial to find an efficient and accurate solution for extracting the necessary information. Text summarization has become a popular problem to tackle in this modern age. The primary objective of text summarization is to extract concise summaries from large volumes of text in an efficient and accurate manner. Summarizing video information using natural language processing (NLP) involves extracting the key points from the spoken or written content in a video. This process typically includes several steps, such as transcription, text processing, and summarization. By utilizing text summarization, reading time can be significantly reduced. This paper focuses on the implementation of text summarization for image, PDF, video using the Text Rank Algorithm, NLP, OCR, Open AI Key, NLTK. We can generate accurate and contextually meaningful summary.