IronPDF How-Tos Csharp Parse PDF C# PDF Parser Chaknith Bin Updated:June 22, 2025 With the right tools, it can be easy to work with PDFs in C# and utilize all the functionality you need for a .NET application, including using C# to parse PDF file capabilities. This tutorial will use IronPDF, a C# Library, to do that in just a couple of straightforward steps. Get started with IronPDF Start using IronPDF in your project today with a free trial. First Step: Start for Free How to Parse PDF File in C# Download C# PDF parser library Install in your Visual Studio Use the ExtractAllText method to extract every single line of text Extract all text from a single page with the ExtractTextFromPage method View parsed PDF content C# Parse PDF File Parsing PDF files is fairly easy. In the code below, we use the ExtractAllText method to extract every single line of text from the entire PDF document. Later on, you can see the side-by-side comparison of the extracted PDF content and its output. :path=/static-assets/pdf/content-code-examples/how-to/csharp-parse-pdf-parse-pdf.cs using IronPdf; // Select the desired PDF File PdfDocument pdf = PdfDocument.FromFile("sample.pdf"); // Extract all text from an pdf string allText = pdf.ExtractAllText(); // Extract all text from page 1 string page1Text = pdf.ExtractTextFromPage(0); Imports IronPdf ' Select the desired PDF File Private pdf As PdfDocument = PdfDocument.FromFile("sample.pdf") ' Extract all text from an pdf Private allText As String = pdf.ExtractAllText() ' Extract all text from page 1 Private page1Text As String = pdf.ExtractTextFromPage(0) $vbLabelText $csharpLabel View Parsed PDF Content We have used a C# Form to show you the parsed PDF content from the code execution above. This output gives the exact text from a PDF so you can use it for your personal or client document needs. ~ PDF ~ ~ C# Form ~ Library Quick Access Documentation Read the API Reference for documentation on IronPDF and all its functionality. Documentation Ready to see what else you can do? Check out our tutorial page here: Edit PDFs Frequently Asked Questions How can I parse PDF files in C#? You can parse PDF files in C# by using the ExtractAllText method from IronPDF to extract all text from a PDF document. This allows you to access and manipulate the content as needed. What method should I use to extract text from a specific page in a PDF? To extract text from a specific page in a PDF, use the ExtractTextFromPage method in IronPDF. This method allows you to target individual pages for text extraction. How can I ensure the formatting is retained when parsing PDFs in C#? IronPDF is designed to retain the original formatting when parsing PDFs. By using methods like ExtractAllText, you can extract text while maintaining the document's structure and layout. Can I view parsed PDF content in a C# application? Yes, you can view parsed PDF content in a C# application by displaying it using a C# Form. This enables you to present the extracted text in a graphical interface. How do I install the PDF parsing library in Visual Studio? You can install the IronPDF library by downloading it from NuGet and integrating it into your Visual Studio project. This will allow you to access its PDF parsing capabilities. Where can I find detailed API documentation for parsing PDFs in C#? The detailed API documentation for IronPDF, including PDF parsing features, is available on the IronPDF website under the API Reference section. Is there a step-by-step guide to parsing PDFs using C#? Yes, there is a step-by-step guide available on the IronPDF website that walks you through parsing PDFs using C#. The guide includes examples and code snippets to help you get started. Chaknith Bin Chat with engineering team now Software Engineer Chaknith works on IronXL and IronBarcode. He has deep expertise in C# and .NET, helping improve the software and support customers. His insights from user interactions contribute to better products, documentation, and overall experience. Ready to Get Started? Free NuGet Download Total downloads: 15,030,178 View Licenses