Python: PDF Content Extractor

This Python snippet extracts text and images from PDF files using the 'PyMuPDF' library, which is ideal for data mining, document management, or archiving tasks. The ability to programmatically extract content from PDFs can significantly streamline processes involving large volumes of documents.

The snippet is particularly useful in legal, academic, and business environments where extracting information from documents is a frequent necessity. It can be used to automate the digitization of records, enabling easier data analysis and storage.

By using 'PyMuPDF', the code efficiently retrieves all readable content from a PDF, including text blocks and embedded images, and saves them in a structured format. This functionality is crucial for data processing applications that require reliable extraction of content from various document types.

The implementation is straightforward and can be integrated into larger systems that handle document processing, archiving, or compliance checks.

Here is the complete code for the PDF content extractor, a versatile tool for automated document management and content retrieval.