Text extractor from pdf online3/28/2023 Then to save the PDF we will open a new file using Python and write the pdf_writer information to the new PDF. We will extract text data of pages that we want to merge using pdf_reader and then add that pages in pdf_writer object. Make a write object so that PyPDF can write in a file. For that we will merge the first and last page of the extracted text data and will merge them to make a new PDF file. Now we will write a PDF file from the text data. But getPage() will return the text in binary form to extract the information we will use extractText() for readable text. Now lets extract the information of a specific page number using getPage()Īnd pass the page number as the parameter. But here we are using getNumPages() that return total pages in the file and getIsEncrypted() will return True based on whether PDF file is password protected or not. PyPDF give numerous method to work on PDF. Now create a object so that PyPDF can read text of the PDF and pass the file in parameter that we opened above. !pip install PyPDF2įile= open('/ASK THE RIGHT QUESTIONS.pdf', 'rb') We will install and import PyPDF2 module and open the PDF file in Python to start reading from the PDF file. Text from PDF cannot be extracted correctly always as PDF can sometime comprises of Diagrams, Tables etc. We are going to use PyPdf2 module to read and extract text of a PDF. NLP can be used to work with PDF, it can help to convert PDF to text file and other manipulation task. In this article we will be going to see applications of NLP like: Though there are numerous applications of NLP but in this article we are going to get brief about some more applications which can be seen in real world. In the previous article, we have gone through some of the applications of NLP.
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