The problem is that I do not know how to adapt this code for several pdf files and save the text in csv. I prefer pdfminer3 to pypdf2 or pdfPlumber because I compared the results with the 3 different packages and pdfminer3 seemed to be the best for my type of text (some of my pdfs have the text in columns). The only required argument of the method is the pathorbuf parameter, which specifies where the file should be saved. With open(‘C:/mydirectory/myfile1.pdf’, ‘rb’) as fh: for page in PDFPage.get_pages(fh, In order to use Pandas to export a dataframe to a CSV file, you can use the aptly-named dataframe method. Page_interpreter = PDFPageInterpreter(resource_manager, converter) Here is below the code:įrom pdfminer3.layout import LAParams, LTTextBoxįrom pdfminer3.pdfinterp import PDFResourceManagerįrom pdfminer3.pdfinterp import PDFPageInterpreterįrom nverter import PDFPageAggregatorįrom nverter import TextConverterĬonverter = TextConverter(resource_manager, fake_file_handle, laparams=LAParams()) I wrote the code for transforming one pdf into text, that I found online. I would like my csv to have the name of the file and the content of the pdf. But first you will want to correct some indentation errors, or make sure you copied the source correctly. I guess you want something like python yourScriptName.py input.pdf > output.csv. This code does not print to a file, it merely prints: print data.
I want to convert several pdf files into csv. Input is on the command line: pdfparser (sys.argv 1). Usage: psr pdf2csv OPTIONS INPUTFILENAME OUTPUTFILENAME Converts a pdf statement to a csv file using a given format Options: -c, -config TEXT The configuration code defining how the file should be parsed default: za.absa.cheque -help Show this message and exit.
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