![]() ![]() ![]() We are not going to heavily utilise the PageObject class, one extra thing you could consider doing is the extractText method, which converts the contents of a page to a string variable. Be careful, PageObjects are in a list, so the method uses a zero-based index. Perhaps the most important method is getPage(page_num) which returns one page of the file as a separate PageObject. ![]() You can also get the total number of pages with reader.numPages. For example, reader.documentInfo is an attribute that contains the document information dictionary in this format: You can get a number of general information about your document with this reader object. The parameter is the path to a pdf document we want to work with. The first object we need is a PdfFileReader: reader = PyPDF2.PdfFileReader('Complete_Works_Lovecraft.pdf') PyPDF2Īs a first step, install the package: pip install PyPDF2 For more information on this project, please refer to my GitHub repo. Then, in the second part, we are going to work on one project, which is about splitting a 708-page long pdf file into separate smaller files, extracting the text information, cleaning it, and then exporting to easily readable text files. We will discuss the different classes and methods we need. As their name suggests, they are libraries written specifically to work with pdf files. In the first part, we are going to have a look at two Python libraries, PyPDF2 and PDFMiner. There is a pdf, there is text in it, we want the text out, and I am going to show you how to do that using Python. Please follow our company page for more such blogs and innovative solutions here.ĭrop me a mail at can find me on LinkedIn.I don’t think there is much room for creativity when it comes to writing the intro paragraph for a post about extracting text from a pdf file. I sincerely hope you found it helpful and as always, I am open to constructive feedback.Īs I had already mentioned, I am a Data Scientist at 3K Technologies. I have uploaded the codes and some PDF files to compare the packages on my GitHub profile link for your reference. PDFtoText - Comparatively most preferred as it preserves table and original structure.PDFminer - Preserves the structure of PDF file text but not the table structure.PyMuPDF - Extracts text from PDF files, removes unnecessary spaces from the text, maintains the original structure of the document.textract - Returns byte object - need to convert it into a string.Tika - Need java installed - Needs familiarity with Java installations, un-necessary involves java connection, good to extract contents, keys, metadata.PyPDF2 - Less preferred as compared to others.In addition, I have included the code snippets for each package in the python programming language. In this blog, I have compared various python packages to extract text from PDF file format. ![]() path = r"\.Downloads\RuchaSawarkar.pdf" #Using PDFminer from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter from nverter import TextConverter from pdfminer.layout import LAParams from pdfminer.pdfpage import PDFPage from io import StringIO def convert_pdf_to_txt(path): rsrcmgr = PDFResourceManager() retstr = StringIO() codec = 'utf-8' laparams = LAParams() device = TextConverter(rsrcmgr, retstr, codec=codec,laparams=laparams) fp = open(path, 'rb') interpreter = PDFPageInterpreter(rsrcmgr, device) password = "" maxpages = 0 caching = True pagenos=set() for page in PDFPage.get_pages(fp, pagenos, maxpages=maxpages, password=password,caching=caching, check_extractable=True): interpreter.process_page(page) text = retstr.getvalue() fp.close() device.close() retstr.close() return text pdf_miner_text = convert_pdf_to_txt(path1) The code used to extract text from PDF using PDFminer package is tedious and longer compared to simple code used for other packages which are given below along with Input PDF and output extracted text. The full description of the parameters can be found here. There are several parameters to be used while calling this package. Thus, the results obtained from this package take slightly more time than other purely python-based packages. PDFminer provides its service in the form of an API request. There are various versions of PDFminer and the latest version is compatible with python 3.6 and above. It can also convert PDF files into other file formats like HTML/XML. This is yet another purely python-based package that is used to extract only PDF files. ![]()
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