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In this video tutorial, the presenter aims to teach viewers how to extract information from PDF files using Python. The focus is on utilizing various Python libraries tailored for different extraction purposes instead of relying on a single library. The tutorial includes three sections highlighting three specific use cases: extracting images, text, and tables from PDFs. By dividing the tasks among specialized libraries, the process becomes simpler and more efficient. The presenter emphasizes that using different libraries for distinct functionalities is a better approach when dealing with extensive PDF parsing.