Once done, we read that data from the pdf file using the getvalues() function and then wrote it in the output file. Then, we initialized the object for PDFPageInterpreter and pass the resource manager and text converter object as the argument of that class. We also initialized the object for the TextConverter class. In that function, we first open the file and the initialized object for the resource manager class, which manages the required resources while converting the pdf. ![]() In the above example, we created a function to read a pdf file and then convert it into a text file. Interpreter = PDFPageInterpreter(resMgr,TxtConverter) ![]() TxtConverter = TextConverter(resMgr,retData, laparams= LAParams()) pip install pdfminer Example 1: Extracting Text from a PDF file and Converting into Text Fileįrom pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreterįrom nverter import TextConverter To install the given module, we will use the following command. Let’s see the installation and example of it. It helps to convert PDF into different formats like HTML, TXT, e.t.c. It is a purely python based module and obtains the exact location of text and other layout information (fonts, etc.) for the pdf files. PDFMiner module is a text extractor module for pdf files in python. We can read a file, extract desired content from files or make necessary changes in pdf files using them. So, python comes with many libraries that help us handle pdf files using python API. Example 1: Extracting Text from a PDF file and Converting into Text File.
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