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Today's video is about extracting the content of a video file in response to a request from Herai Shetty. The tutorial provides a general overview to address a common problem people face with extracting content from different types of PDF files. It gives an example of a system with two clients - one sending scanned PDF files and the other sending native PDF files. The solution involves using OCR with Python, specifically Google's tool called Tesseract. The process is broken down into three main steps, starting with importing libraries and utilizing Tesseract to extract text from images.
