Pdf to text python5/28/2023 ![]() ![]() This results in PDFs being hard to edit and difficult with extracting information from them. The main goal was to be able to exchange information platform-independently while preserving and protecting the content and layout of a document. PDF stands for Portable Document Format and was developed by Adobe. I want to discuss this and provide insights from our experiences in recent projects.įirst of all, it should be mentioned that PDF is not made for retrieving text information. But when it comes to PDF documents with underlying text, the question arises if one could access this text information directly, circumventing possible OCR errors. For images and documents with no underlying text information, OCR tools are without alternative. So, aiming at extracting information from documents one either has to build robust models which can manage small errors or seek for alternative ways of text extraction. Although there are well-performing tools, they still make errors. We have already discussed different OCR tools for automatically extracting text from documents. ![]() Furthermore, there are tools that are able to extract text from PDF documents, but which are not available in Python. There are other Python PDF libraries which are either not able to extract text or focused on other tasks. Those tools are PyPDF2, pdfminer and PyMuPDF. I will compare their features and point out some drawbacks. In the following I want to present some open-source PDF tools available in Python that can be used to extract text. Sometimes the PDFs already contain underlying text information, which makes it possible to extract text without the use of OCR tools. In NLP projects the input documents often come as PDFs. ![]()
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