- How to Convert PDF to Text in Python (Tutorial)
- How to Convert PDF to Text in Python
- 2.0 How to Extract Text from a PDF Using Python?
- 2.1 What is IronPDF for Python?
- 2.2 Features of IronPDF
- 2.3 Import IronPDF Library
- 2.4 Set License Key (if Required)
- 2.5 Set Log files
- 3.0 Extract PDF text with IronPDF
- 4.0 Conclusion
- Blog
- Convert PDF to TXT file using Python
- Steps to Convert PDF to TXT in Python
- Step 01 – Create a PDF file (or find an existing one)
- Step 02 – Install PyPDF2
- Step 03 – Opening a new Python file for the script
- Let’s get started with the Script Code
- Convert PDF to Text in Python
- Convert pdf to text using pypdf2
How to Convert PDF to Text in Python (Tutorial)
When it comes to document sharing, the Adobe-created Portable Document Format (PDF) is crucial for preserving the integrity of text-rich and aesthetically beautiful content. In most cases, a specific program is required in order to access online PDF files. These days, many important digital publications require PDF files. Many businesses utilize PDF files to create expert documentation and invoices. IronPDF Python is one of the most powerful PDF libraries, which allows you to extract any text available in a PDF document.
How to Convert PDF to Text in Python
- Install a Python library to convert PDF to text
- Load an existing PDF document or render a new one
- Utilize the ExtractAllText method to read text from the opened file
- Use another overload of the method to read text from specific page(s).
- Print the extracted text to the console or save it to a text file
2.0 How to Extract Text from a PDF Using Python?
- Install the latest version of python here
- Open any IDE tools for python
- Install Dot Net Core runtime
- Install the IronPDF python library or download from here
- Extract text from the PDF
2.1 What is IronPDF for Python?
It is straightforward to integrate the IronPDF library in Python as it is a much more dynamic language compared to other languages, and enables developers to create graphical user interfaces quickly and easily. It has a plethora of pre-installed tools, including PyQT, wxWidgets, kivy, and numerous additional packages and libraries, all of which may be used to rapidly and securely create a fully complete GUI.
IronPDF Python is an extremely efficient library, particularly useful for web development. The availability of so many Python web development paradigms, like Django, Flask, and Piramyd, is partly to blame for this. These frameworks have been used by numerous websites and online services, including Reddit, Mozilla, and Spotify.
2.2 Features of IronPDF
- A PDF file can be created from a variety of sources, including HTML, HTML5, ASP, and PHP websites. In addition to HTML files, we can convert image files to PDF.
- IronPDF allows you to build interactive PDF documents, fill out and send interactive forms, split and combine PDF files, extract text and images from PDF files, search for certain words within a PDF file, rasterize PDF pages to images, convert PDF to HTML, and print PDF files.
- IronPDF can open PDF files, and print from a URL. Additionally, it enables user agents login behind HTML login forms, proxies, cookies, HTTP headers, custom network login credentials, form variables, and user agents.
- Images can be extracted from documents using IronPDF.
- With IronPDF, we can add headers, footers, text, pictures, bookmarks, watermarks, and more to our documents.
- We can combine and separate pages using a new or existing document using IronPDF.
- Without utilizing an Acrobat viewer, documents can be converted to PDF objects.
- A CSS file can be used to make a PDF document.
- The creation of documents is possible using media-type CSS files.
2.3 Import IronPDF Library
Include the following import statements at the start of the source files where IronPDF will be used in order to import IronPDF:
2.4 Set License Key (if Required)
Although IronPDF for Python is free to use, it watermarks PDF files with a tiled backdrop for free users. You must give the library a legitimate license key in order to use IronPDF to create PDFs free of watermarks. How to set up the library with a license key is shown in the following snippet of code:
License.LicenseKey = "IRONPDF-LICENCE-KEY-ABCDEFGH"
License.LicenseKey = "IRONPDF-LICENCE-KEY-ABCDEFGH"
Before creating PDF files or making changes to their content, make sure the license key is configured. The LicenseKey method should be called before any other lines of code. To get a 30-day free trial license key, get in touch with us or buy a license key from our licensing page.
2.5 Set Log files
A text file called «Default» can store log messages produced by Custom.log within the Python script’s directory. The code snippet below can be used to set the LogFilePath property and customize the log file name and location:
# Set a log path Logger.EnableDebugging = True Logger.LogFilePath = "Custom.log" Logger.LoggingMode = Logger.LoggingModes.All
# Set a log path Logger.EnableDebugging = True Logger.LogFilePath = "Custom.log" Logger.LoggingMode = Logger.LoggingModes.All
3.0 Extract PDF text with IronPDF
The IronPDF python library can convert PDF pages into PDF objects and enables text extraction from PDF files, which includes scanned PDF files. Here’s an example that shows how to read an existing PDF using IronPDF.
The first method involves extracting all text available in a PDF; a sample of the code is provided below.
from ironpdf import * # Load existing PDF document pdf = PdfDocument.FromFile("content.pdf") # Extract text from PDF document all_text = pdf.ExtractAllText() print(all_text)
from ironpdf import * # Load existing PDF document pdf = PdfDocument.FromFile("content.pdf") # Extract text from PDF document all_text = pdf.ExtractAllText() print(all_text)
As illustrated in the code above, the Fromfile method is a PDF reader object which helps us load the existing PDF file and convert it into PDF-document objects. Using this object, we may read the text and images that are available on the PDF pages. The object provides a method called ExtractAllText that pulls every piece of text from the whole PDF file, holding the text in a string that may be processed. And we are using the print function to display the text.
The code example for the second method that we can use to page-by-page, extracting text from a PDF file. It’s provided below.
from ironpdf import * # Load existing PDF document pdf = PdfDocument.FromFile("content.pdf") # Extract text from specific page in the document page_text = pdf.ExtractTextFromPage(1)
from ironpdf import * # Load existing PDF document pdf = PdfDocument.FromFile("content.pdf") # Extract text from specific page in the document page_text = pdf.ExtractTextFromPage(1)
The Fromfile method is used to load the PDF file from an existing file and convert it into PDF file object, as shown in the code above. A method on the PDF page object called ExtractTextFromPage retrieves all the text from a page in a PDF file. The page number must be provided as a parameter in order for us to extract text from that particular page. Then, after extracting the text, we transfer it into a variable to hold it as a string that can be processed.
Check out more examples to extract text from a PDF.
4.0 Conclusion
The IronPDF library, in contrast, offers strong security measures to reduce potential risks. It is not tailored to any one browser and works with all commonly used ones. IronPDF allows programmers to easily produce and read PDF files with just a few lines of code. The IronPDF library provides a range of licensing options, including a free developer license and extra development licenses that are available for purchase, to meet the needs of different developers.
IronPDF includes a perpetual license, a 30-day money-back guarantee, a year of software support, and upgrade options. There are no additional expenses after the initial purchase. These licenses can be used in development, staging, and production environments. Learn more about product licensing.
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Convert PDF to TXT file using Python
In this article, we’re going to create an easy python script that will help us convert pdf to txt file. You have various applications that you can download and use for pdf to txt file conversion. There are a lot of online applications too available for this purpose but how cool would it be, if you could create your own pdf to txt file converter using a simple python script.
Steps to Convert PDF to TXT in Python
Without any further ado, let’s get started with the steps to convert pdf to txt.
Step 01 – Create a PDF file (or find an existing one)
- Open a new Word document.
- Type in some content of your choice in the word document.
- Now to File > Print > Save.
- Remember to save your pdf file in the same location where you save your python script file.
- Now your .pdf file is created and saved which you will later convert into a .txt file.
Step 02 – Install PyPDF2
- First, we will install an external module named PyPDF2.
- The PyPDF2 package is a pure-python pdf library that you can use for splitting, merging, cropping, and transforming pdfs. According to the PyPDF2 website, you can also use PyPDF2 to add data, viewing options, and passwords to the pdfs, too.
- For installing the PyPDF2 package, open your windows command prompt and use the pip command to install PyPDF2:
C:\Users\Admin>pip install PyPDF2
Collecting PyPDF2 Downloading PyPDF2-1.26.0.tar.gz (77 kB) |████████████████████████████████| 77 kB 1.9 MB/s Using legacy 'setup.py install' for PyPDF2, since package 'wheel' is not installed. Installing collected packages: PyPDF2 Running setup.py install for PyPDF2 . done Successfully installed PyPDF2-1.26.0
This will successfully install your PyPDF2 package on your system. Once it’s installed, you are good to go with your script.
Step 03 – Opening a new Python file for the script
- Open your python IDLE and press keys ctrl + N. This will open your text editor.
- You can use any other text editor of your prefered choice.
- Save the file as your_pdf_file_name.py.
- Save this .py file in the same location as your pdf file.
Let’s get started with the Script Code
import PyPDF2 #create file object variable #opening method will be rb pdffileobj=open('1.pdf','rb') #create reader variable that will read the pdffileobj pdfreader=PyPDF2.PdfFileReader(pdffileobj) #This will store the number of pages of this pdf file x=pdfreader.numPages #create a variable that will select the selected number of pages pageobj=pdfreader.getPage(x+1) #(x+1) because python indentation starts with 0. #create text variable which will store all text datafrom pdf file text=pageobj.extractText() #save the extracted data from pdf to a txt file #we will use file handling here #dont forget to put r before you put the file path #go to the file location copy the path by right clicking on the file #click properties and copy the location path and paste it here. #put "\\your_txtfilename" file1=open(r"C:\Users\SIDDHI\AppData\Local\Programs\Python\Python38\\1.txt","a") file1.writelines(text)
Here’s a quick explanation of the code:
- We first create a Python file object and open the PDF file in “read binary (rb)” mode
- Then, we create the PdfFileReader object that will read the file opened from the previous step
- A variable is used to store the number of pages within the file
- The last part will write the identified lines from the PDF to a text file that you specify
PDF file Image :
Converted Txt file Image :
This was in brief about how to convert a pdf file to a txt file by writing your own python script. Try it out !
Convert PDF to Text in Python
Python is a feature-rich programming language. We can perform different operations on files in python using the different modules and libraries. In this article, we will discuss different ways to convert a pdf file to text in python.
Convert pdf to text using pypdf2
To convert a pdf to text in python, we can use the PyPDF2 module. You can install this module using PIP by executing the following command in the command prompt.
To convert the pdf file to text, we will first open the file using the open() function in the “ rb ” mode. i.e.Instead of the file contents, we will read the file in binary mode. The open() function takes the filename as the first input argument and the mode as the second input argument. After opening the file, it returns a file object that we assign to the variable myFile .
After getting the file object, we will create a pdfFileReader object using the PdfFileReader() function defined in the PyPDF2 module. The PdfFileReader() function accepts the file object containing the pdf file as the input argument and returns a pdfFileReader object. Using the pdfFileReader , we can convert the PDF file to text.
Also, we will open a file “ output.txt ” in write mode to save the text data extracted from the pdf file using the open() function. We will assign this file object to a variable output_file .
To create the text file from the PDF file, we will first find the number of pages in the PDF file. For this, we will use the numPages attribute of the pdfFileReader object.