The C# OCR Library

OCR in 1 line of code

using IronOcr;

string imageText = new IronTesseract().Read(@"images\image.png").Text;

Install-Package IronOcr

Product Videos

Name: IronOCR
Brand: Iron Software
Availability: InStock
Rating: 4.86 (101 reviews)

June 5, 2025

How to Read Specific Documents Using OCR in C#

Discover how to efficiently extract specific text from documents using IronOCR in C#. This tutorial provides a step-by-step guide, showcasing the power of Optical Character Recognition technology in streamlining your document processing tasks.

May 27, 2025

Streamlining Document Conversion with IronOCR

Join Software Engineer Chipego Kalinda in a live demo to explore how IronOCR can streamline your document conversion processes. Learn practical techniques to enhance efficiency and accuracy in transforming documents.

April 29, 2025

How to Read PDFs with IronOCR

Learn to read PDFs efficiently with IronOCR, a C# library. This guide covers constructing OcrPdfInput objects, performing OCR on PDFs, reading specific pages, and improving accuracy by specifying DPI and scan regions.

April 16, 2025

How to Custom Font Training for Tesseract 5 in C#

This tutorial provides a detailed guide on training Tesseract 5 OCR with custom fonts. It covers the installation of Iron OCR, setting up WSL and Ubuntu, downloading necessary packages, configuring custom fonts, and executing training processes to enhance OCR accuracy with unique font data.

April 6, 2025

How to Automate Data Extraction with IronOCR

Discover how to efficiently extract structured table data from scanned images using C# and IronOCR. Join Shadman Majid, Sales Engineer at Iron Software, in this insightful live demo that guides you through the process, enhancing your data processing capabilities and workflow efficiency.

March 17, 2025

How to use Multiple Languages with Tesseract

Discover how to leverage Tesseract and IronOCR to perform multilingual OCR on PDFs and images. This tutorial walks you through setting up the necessary components and demonstrates extracting text in English, Russian, and Japanese, enhancing your text recognition capabilities.

March 16, 2025

How to Read Barcodes and QR Codes Using OCR in C#

This tutorial explains how to use Iron OCR to read barcodes and QR codes from PDF documents in C. It covers setting up the OCR engine, extracting codes, and printing them on the console, offering a simple API for integrating these capabilities into applications.

January 30, 2025

How to Use Input Images for OCR Processing in C#

This tutorial demonstrates how to perform OCR processing in C using Iron OCR. Learn to extract text from image files, byte arrays, and specific image regions. The guide covers setting up your license, instantiating the Iron Tesseract object, and executing OCR on various image inputs, enhancing your OCR capabilities.

December 30, 2024

How To Read PDFS in OCR C#

This tutorial demonstrates the use of Iron OCR to extract text from PDF documents in C programming. It covers setting up the environment, reading entire PDFs, specific pages, or defined regions, offering a flexible approach for managing PDF data programmatically.

December 30, 2024

How to Use System Drawing Images for OCR Processing in C#

This tutorial video provides a comprehensive guide on using Iron OCR to extract text from System.Drawing images in C#. It covers setting up the environment, initializing OCR objects, and demonstrates text extraction from different image formats. A practical approach is shown with code snippets and console output analysis.

September 3, 2024

How to extract text from an image file

This tutorial demonstrates how to extract text from images using Iron OCR in a C# console application. It covers installing the Iron OCR library, configuring the OCR engine, and executing text extraction with optimal settings.

June 11, 2024

How to use Computer Vision to Find Text in C#

This tutorial explores using Iron OCR in C for text detection within images. It guides through setting up the library in Visual Studio, demonstrating various methods for text extraction and region detection using computer vision, and shows how to enhance output accuracy.

December 10, 2023

How to use OCR Language Packs in IronOCR

In this tutorial, explore how to use Iron OCR's multi-language capabilities to extract text from PDFs in both English and Japanese. Learn to set up language packs and handle text extraction efficiently in C#.

July 30, 2023

How to use OCR with C# on Windows 11

Discover the power of Optical Character Recognition (OCR) using IronOCR in Windows 11. This tutorial walks you through setting up and executing OCR tasks with Visual Studio 2022, detailing how to extract text from images using IronOCR’s robust and versatile features.

March 21, 2023

How to use Tesseract OCR for .NET on Windows

This tutorial guides you through using Tesseract OCR with Windows 10 and 11, utilizing Iron OCR in a Visual Studio 2022 environment. It covers installation via NuGet, image enhancement, and text extraction from images, emphasizing Iron OCR's accuracy and efficiency.

September 7, 2022

IronOCR as an alternative to Patagames Tesseract.NET

In this tutorial, we explore using Iron OCR as an alternative to Tesseract in C#. By setting up two separate .NET C# console projects, we demonstrate Iron OCR's superior text extraction capabilities, especially with blurred images. The tutorial includes step-by-step instructions for installing and implementing both libraries.

August 29, 2022

Why IronOCR is better than the Tesseract 4 Nuget Package

In this tutorial, we compare Iron OCR and Google Tesseract OCR. We discuss their performance in handling rotated, blurry images and low DPI conditions. Iron OCR shows superior results with multi-threading support and extensive language compatibility, making it ideal for diverse OCR needs.

March 27, 2022

How to Extract Text from Images in C#

This tutorial guides you through using Iron OCR for text extraction from image files. It covers installation, coding procedures, and handling different image scenarios, ensuring accurate text recognition even with skewed or crinkled images.