#Pdfextractor python slate how to#

If you see the output then a new line is replaced with . In our example lets say I want to extract text from page number 1 then I will use the following code. The getPage()method will first get the page number of the Pdf file and extractText() will extract the text from that page number. Read_pdf.numPages Step 4: Extract the textĪfter knowing the number of the pages, you can extract text from it using the getPage() and extractText()method. Read_pdf = PyPDF2.PdfFileReader(pdf_file) #check pdf is encrypted or not It is a must as with encryption you cannot read the PDF File and extract the text. Pdf_file =open('data/FOMC_report.pdf', 'rb') Step 3: Read PDF and Check for EncryptionĪfter opening the file Read the PDF File using PyPDF2.PdfFileReader() method and check for encryption using getIsEncrypted() method.

Now using the PYPDF2 you will Open the PDF File in RB(reading in bytes) mode. Here for the demonstration purpose, I am using PyPDF2. Step By Step Guide to Extract Text Step 1: Import the necessary librariesĪlthough there are many libraries available for extracting text from PDF File.

#Pdfextractor python slate how to#

In this entire tutorial of “How to,” you will learn how to extract text from PDF File using Python. These are also used in doing text analysis. Like extracting text, tables, images and many things from PDF using it. Currently, There are many libraries that allow you to manipulate the PDF File using Python. It contains much useful Information that If you make a predictive or NLP model then it will beneficial to you. PDF contains unstructured data and making it meaningful or structured is a challenging task.