![]() ![]() ![]() It has an extensible PDF parser that can be used for other purposes than text analysis. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). PDFMiner allows one to obtain the exact location of text on a page, as well as other information such as fonts or lines. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner is a tool for extracting information from PDF documents. In this section, we will discover the Top Python PDF Library: To work with PDFs using these frameworks, we must first convert them to text format. However, it’s worth noting that existing machine learning and natural language processing frameworks don’t typically include a direct interface for processing PDFs. Python is a popular language for developing text analytics libraries and frameworks, providing a significant advantage in this domain. PDF processing falls within the realm of text analytics, a field that involves the use of software tools to analyze large volumes of textual data. ![]() 2- Python Libraries for PDF ProcessingĪs a Data Scientist, You may not stick to data format. Unless they are proving an explicit interface for this, we have to convert pdf to text first. One more thing you can never process a pdf directly in existing frameworks of Machine Learning or Natural Language Processing. Most of the Text Analytics Library or frameworks are designed in Python only. 1- Why Python for PDF processingĪs you know PDF processing comes under text analytics. PDFs contain useful information, links and buttons, form fields, audio, video, and business logic. PDF is one of the most important and widely used digital media. ![]() Popular Python libraries are well integrated and provide the solution to handle unstructured data sources like Pdf and could be used to make it more sensible and useful. Photo by James Harrison on Unsplash Introductionīeing a high-level, interpreted language with a relatively easy syntax, Python is perfect even for those who don’t have prior programming experience. ![]()
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