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A comparative study evaluated 10 actively maintained open-source PDF parsing tools for full-text extraction and table detection across six diverse document categories using the DocLayNet dataset. The research found that rule-based tools perform effectively for general text in most document types, while learning-based models like Nougat and Table Transformer achieve superior performance for scientific documents and complex table detection respectively.