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- How to Work With a PDF in Python
- PyPDF2: Python Library for PDF Files Manipulations
- PDF To Text Python – Extract Text From PDF Documents Using PyPDF2 Module
How to Work With a PDF in Python
Whether it is an ebook, digitally signed agreements, password protected documents, or scanned documents such as passports, the most preferred file format is PDF or Portable Document Format. It was originally developed by Adobe and is a file format used to present and transfer documents easily and reliably. It uses the file extension. Python has relatively easy syntax which makes it even easier for the ones who are in their initial stage of learning the language.
The popular Python libraries are well suited and integrated which allows to easily extract documents from a PDF, rotate pages if required, split pdf to make separate documents, or add watermarks in them. Now an important question rises, why do we need Python to process PDFs? Well, processing a PDF falls under the category of text analytics.
There are several libraries and frameworks available which are designed in Python exclusively for text analytics. This makes it easier to play with a PDF in Python. Get certified and learn more about Python Programming and apply those skills and knowledge in the real world.
The first PyPDF package was released in and the last official release in The biggest difference between PyPDF and the other versions was that the later versions supported Python3. PyPDF2 has been discarded recently.
You can also use a substitute package - pdfrw. Pdfrw was created by Patrick Maupin and allows you to perform all functions which PyPDF2 is capable of except a few such as encryption, decryption, and types of decompression. It is a tool used to extract information from PDF documents. PDFMiner allows the user to analyze text data and obtain the definite location of a text.
It provides information such as fonts and lines. You can also add customized data, view options, and passwords to the documents. It is a Python package which facilitates the extraction of information and is dependent on the PdfMiner package. It is an open source viewer of PDF which also includes an extractor, converter and other utilities. Out of all the libraries mentioned above, PyPDF2 is the most used to perform operations like extraction, merging, splitting and so on.
To install PyPDF2 using pip, run the following command in the command line:. The module is case-sensitive. So you need to make sure that proper syntax is followed. The installation is really quick since PyPDF2 is free of dependencies. The types of data you can extract are:. To understand it better, let us use an existing PDF in your system or you can go to Leanpub and download a book sample. The class PdfFileReader is used to interact with PDF files like reading and extracting information using accessor methods.
Then, we have created our own function getinfo with a PDF file as an argument and then called the getdocumentinfo. This returned an instance of DocumentInformation. And finally we got extract information like the author, creator, subject or title, etc. PdfMiner can be used when you want to extract text from a PDF file.
It is potent and particularly designed for extracting text from PDF. We have learned to extract information from PDF. A lot of times we receive PDFs which contain pages in landscape orientation instead of portrait. You may also find certain documents to be upside down, which happens while scanning a document or mailing. However, we can rotate the pages clockwise or counterclockwise according to our choice using Python with PyPDF2. Then we declared a function rotate with a path to the PDF that is to be modified.
Then, we used the getPage to grab the pages. Two pages page1 and page2 are taken and rotated to 90 degrees clockwise and 90 degrees counterclockwise respectively using rotateClockwise and rotateCounterClockwise.
We used addPage function after each rotation method calls. This adds the rotated page to the write object. The last page we add is page3 without any rotation. Lastly, we have used write with a file-like parameter to write out the new PDF. The final PDF contains three pages, the first two will be in the landscape mode and rotated in reversed direction and the third page will be in normal orientation.
In many cases, we need to merge two PDFs into a single one. For example, suppose you are working on a project report and you need to print it and bind it into a book. It contains a cover page followed by the project report. You can simply use Python to do so. Let us see how can we merge PDFs into one.
Then we created a PdfFileReader object for each PDF path and looped over the pages, added each page to the write object. Here, we created the object pdfmerge and looped through the PDF paths. The PyPDF2 automatically appends the whole document. Finally, we write it out. It allows us to split pages into different PDFs. Suppose we have a set of scanned documents in a single PDF and we need to separate the pages into different PDFs as per requirement, we can simply use Python to select pages we want to split and get the work done.
Then we created a function called splitpdf which accepts the path of PDF we want to split. The first line of the function takes the name of the input file. Then we open the PDF and create a read object. In the next step, we created an instance of PdfFileWriter inside the for loop. An image or superimposed text on selected pages in a PDF document is referred to as a Watermark.
The Watermark adds security features and protects our rational property like images and PDFs. Watermarks are also called overlays. The PyPDF2 allows us to watermark documents. We just need to have a PDF which will consist of our watermark text, image or signature. Firstly, we extract the PDF page which contains the watermark image or text and then open that PDF page where we want to give the desired watermark.
Using the inputpdf , we create a read object and using the pdfwrite, we create a write object to write out the watermarked PDF and then iterate over the pages. The package also provides the user password which allows us to open the document upon entering the password. Then we create one read object pdfread and one write object pdfwrite.
Now we loop over all the pages and add them to the write object since we need to encrypt the entire document. Finally, we call the encrypt function which accepts three parameters—the user password, the owner password and the whether or not to use bit encryption. Also if the owner password is set to none, then it will be set to user password automatically. To install tabula-py, run:. The features of PyPDF2 makes life easier whether you are working on a large project or even when you quickly want to make some changes to your PDF documents.
PyPDF2: Python Library for PDF Files Manipulations
Here you will learn, how to extract text from PDF files using python. Python provides many modules to extract text from PDF. Before proceeding to main topic of this post, i will explain you some use cases where these type of PDF extraction required. It is capable of:. Now you have to open your file to read.
Sign in. 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. As their name suggests, they are libraries written specifically to work with pdf files. We will discuss the different classes and methods we need. Then , in the second part, we are going to work on one project, which is about splitting a page long pdf file into separate smaller files, extracting the text information, cleaning it, and then exporting to easily readable text files. For more information on this project, please refer to my GitHub repo.
We can get the number of pages in the PDF file. We can also get the information about the PDF author, creator app, and creation dates. The PyPDF2 allows many types of manipulations that can be done page-by-page. We can rotate a page clockwise or counter-clockwise by an angle. The above code looks good to merge the PDF files.
PDF To Text Python – Extract Text From PDF Documents Using PyPDF2 Module
In , the structure of a PDF document was defined by Adobe. For Linux there are mighty command line tools available such as pdftk and pdfgrep. As a developer there is a huge excitement building your own software that is based on Python and uses PDF libraries that are freely available. This article is the beginning of a little series, and will cover these helpful Python libraries.