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In this tutorial, the focus is on efficiently extracting text and metadata from PDF and image documents. The tutorial demonstrates how to extract content from a one-page PDF that contains role-based information in the first two paragraphs and column-based information in the remaining content. The challenge lies in effectively extracting the column-based information. The tutorial explores different libraries to achieve this task, starting with converting the PDF into an image format using tools like Pytesseract.
