3/18/2023 0 Comments Convert pdf to text pythonStep 3: Convert text into keywords #The word_tokenize() function will break our text phrases into individual words. #Now, we will clean our text variable and return it as a list of keywords. It likely contains a lot of spaces, possibly junk such as '\n,' etc. Type print(text) to see what it contains. else: text = textract.process(fileurl, method='tesseract', language='eng') #Now we have a text variable that contains all the text derived from our PDF file. if text != "": text = text #If the above returns as False, we run the OCR library textract to #convert scanned/image based PDF files into text. It's done because PyPDF2 cannot read scanned files. while count < num_pages: pageObj = pdfReader.getPage(count) count =1 text = pageObj.extractText() #This if statement exists to check if the above library returned words. num_pages = pdfReader.numPages count = 0 text = "" #The while loop will read each page. ![]() pdfReader = PyPDF2.PdfFileReader(pdfFileObj) #Discerning the number of pages will allow us to parse through all the pages. pdfFileObj = open(filename,'rb') #The pdfReader variable is a readable object that will be parsed. filename = ' enter the name of the file here' #open allows you to read the file. Step 1: Import all libraries import PyPDF2 import textract from nltk.tokenize import word_tokenize from rpus import stopwords Step 2: Read PDF file #Write a for-loop to open many files (leave a comment if you'd like to learn how). Start up your favorite editor and type: Note: All lines starting with # are comments. In order to do this, make sure your PDF file is stored within the folder where you’re writing your script. ![]() This will download the libraries you require to parse PDF documents and extract keywords. NLTK (to clean and convert phrases into keywords)Įach of these libraries can be installed with the following commands inside terminal (on macOS): pip install PyPDF2 pip install textract pip install nltk. ![]() textract (to convert non-trivial, scanned PDF files into text readable by Python).PyPDF2 (to convert simple, text-based PDF files into text readable by Python).You will require the following Python libraries in order to follow this tutorial: You can use any version you like (as long as it supports the relevant libraries). For this tutorial, I’ll be using Python 3.6.3.
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