How to Extract Table From PDF in Python


When it comes to document sharing, the Portable Document Format (PDF), created by Adobe, is crucial for preserving the integrity of text-rich and aesthetically beautiful information. To access online PDF files, you often require a specific program. For many important digital publications today, PDF files are required. Many businesses utilize PDF files to create professional paperwork and invoices. Developers frequently use libraries to create PDF documents that meet specific consumer needs. The evolution of modern libraries has simplified the process of producing PDFs. It is critical to consider the build, read, and conversion capabilities when selecting the appropriate library for a project that requires creating PDFs in order to guarantee seamless integration and top performance. There are many Python libraries available, but in this article, we are going to use IronPDF, a powerful PDF-processing library.

2.0 IronPDF

Python provides significantly more flexibility for programmers compared to other languages and allows developers to easily and efficiently design graphical user interfaces. Therefore, incorporating the IronPDF library into Python is a straightforward process. To quickly and securely create a fully functional GUI, a range of pre-installed tools, including PyQt, wxWidgets, Kivy, and various other packages and libraries, can be utilized.

IronPDF simplifies Python web design and development. This is primarily due to the abundance of Python web development frameworks available, such as Django, Flask, and Pyramid. Some notable websites and online services that have employed these frameworks include Reddit, Mozilla, and Spotify.

2.1 Features of IronPDF

Below are some features of IronPDF:

  • PDF files can be created from sources such as HTML, HTML5, ASP, PHP, and more. Additionally, image files can be converted to PDF along with HTML files.
  • IronPDF enables the creation of interactive PDF documents. It offers features such as dividing and combining PDF files, extracting text and images from PDF files, rasterizing PDF pages into images, converting PDF to HTML, printing PDF files, filling out and submitting interactive forms, and dividing and merging PDF files.
  • With IronPDF, it is possible to generate a document from a URL. It also supports user agents that log in using HTML login forms, proxies, cookies, HTTP headers, special network login credentials, form variables, and user agents.
  • The IronPDF program allows for the inspection and annotation of PDF files.
  • IronPDF enables the extraction of images from documents.
  • IronPDF provides users with the ability to add headers, footers, text, photos, bookmarks, watermarks, and more to documents.
  • Using IronPDF, you can divide and merge pages in a new or existing document.
  • Converting documents to PDF objects is possible without the need for an Acrobat viewer.
  • IronPDF allows for the creation of a PDF document from a CSS file.
  • Documents can be created using CSS files that contain media-type definitions with IronPDF.

3.0 Configure Python Environment

3.1 Setup Python

Make sure Python is installed on your computer. To download and set up the most recent version of Python for your operating system, go to the official Python website. Once Python is installed, segregate the requirements for your project by creating a virtual environment. With the help of the venv module, you can create and manage virtual environments to offer your conversion project a neat and organized workspace.

3.2 New Project in PyCharm

For this tutorial, we will use PyCharm, an IDE for Python development.

After launching the PyCharm IDE, select "New Project" from the menu, as shown in the figure below.

How to Extract Table From PDF in Python: Figure 1

As seen in the picture below, when you choose "New Project," a new window will appear and allow you to define the project's location and Python environment.

How to Extract Table From PDF in Python: Figure 2

After selecting the location and environment for the project, click the "Create" button to initiate it. Python files can be opened in the newly launched window for you to enter your code. This guide utilizes Python 3.9.

How to Extract Table From PDF in Python: Figure 3

3.3 IronPDF Library Requirement

IronPDF for Python relies on .NET 6.0 as its core technology. Therefore, in order to use IronPDF Python, your computer must have the .NET 6.0 runtime installed. Linux and Mac users may need to install Dot NET before they can utilize this Python module. To acquire the necessary runtime environment, please visit this link.

3.4 IronPDF Library Setup

The ironpdf package needs to be installed in order to create, edit, and open files with the ".pdf" extension. To install the package in PyCharm, open a terminal window and type the following command:

 pip install ironpdf

The screenshot below illustrates the installation process of the ironpdf package.

How to Extract Table From PDF in Python: Figure 4

4.0 Extracting Table Data from a PDF File

We can effortlessly extract data from PDF files using the IronPDF Python library. IronPDF facilitates the analysis of text data and the extraction of tables from PDF files. Below is a sample code that demonstrates how to extract data from PDF tables, utilizing the provided image as a reference.

How to Extract Table From PDF in Python: Figure 5

from ironpdf import *
pdf = PdfDocument.FromFile("sampleData.pdf")
all_text = pdf.ExtractAllText()
for row in all_text.split("\n"):

The provided code demonstrates how IronPDF can be used to extract tables from PDF files using just a few lines of Python code. Initially, we import the IronPDF library to access its functionality. By utilizing the library, we gain access to all of IronPDF's features. Next, with the help of the PdfDocument class, we can process existing PDF files, enabling us to perform various operations on them.

When using the FromFile function, the argument for loading the input PDF file is available. By passing the file location as a parameter, we can load an existing PDF file. Afterward, we utilize the ExtractAllText function to extract all the table data from all the pages within the PDF files. Subsequently, we employ the Split function to divide the extracted table data into multiple rows and display them on the console screen.

How to Extract Table From PDF in Python: Figure 6

In the above output, the data is displayed row by row, showcasing how table data can be extracted. If you want to learn more about IronPDF, check out the following article.

5.0 Conclusion

The IronPDF library provides robust security measures to minimize potential risks and ensure data security. It is compatible with all popular browsers and not limited to any specific one. With IronPDF, programmers can efficiently create and read PDF files using just a few lines of code. To cater to the diverse needs of developers, the IronPDF library offers various licensing options, including a free developer license and additional development licenses available for purchase.

The Lite bundle, priced at $749, includes a perpetual license, a 30-day money-back guarantee, one year of software maintenance, and upgrade possibilities. There are no further charges after the initial purchase, and these licenses can be used in production, staging, and development environments. IronPDF also provides free licenses with some time and redistribution limitations. Users can test the product in a real-world environment with a free trial period that does not include a watermark. For detailed information regarding the cost and licensing of IronPDF's trial version, please click the following link.