The C# OCR Library

OCR in 1 line of code

using IronOcr;

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

Install-Package IronOcr

IronOCR Blog - Page 6

October 29, 2022

Enterprise OCR Software Comparison

This article will show how you can perform OCR, convert documents or scan invoices using different Enterprise OCR software.

October 12, 2022

Comparison between IronOCR and AWS Textract OCR

AWS OCR Textract uses machine learning to read and process any type of document.

October 3, 2022

Best OCR Software Comparison (Pros & Cons)

You must pick the right OCR software that can extract text from images or convert a PDF file into an editable format.

October 2, 2022

Tesseract Alternatives (2022 Update)

Tesseract uses highly accurate optical character recognition technology that can convert scanned paper documents into searchable digital files.

September 7, 2022

IronOCR as an alternative to Patagames Tesseract.NET

Explore the key differences between IronOCR and Patagames Tesseract.NET in this informative video. Understand how IronOCR can serve as a superior alternative and determine which OCR solution is right for your projects.

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.

September 5, 2022

A Comparison between IronOCR and PDFTRON OCR

PDFTron SDK requires a separately downloadable OCR Module as a new optional add-on utility in order to use OCR with the SDK. It is currently available on Windows, Linux, macOS.

August 31, 2022

A Comparison between IronOCR and Tesseract.NET

The Tesseract.net SDK is a product of Patagames, an optical character recognition (OCR) library for .NET projects, and provides a way to add OCR capabilities like text recognition in .NET applications.

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.

June 16, 2022

Online OCR converter — Free Online Tools

This section is about free online OCR tools. Online OCR tools exist to help us with the process of converting paper-based documents into digital texts.

June 13, 2022

A Comparison between IronOCR and Dynamsoft OCR

The Dynamsoft.NET OCR library is a .NET component that provides rapid and reliable optical character recognition. It is used for creating .NET desktop applications in C# or VB.NET.

June 9, 2022

OCR in Windows 11 (Free Online Tools)

Photo Scan is a free OCR software available for Windows 11. It is available on the Microsoft store for free.

June 8, 2022

A Comparison between IronOCR and Asprise OCR

Asprise C# .NET OCR (optical character recognition) and barcode recognition SDK offers a high-performance API library for you to equip your C# .NET applications.

April 25, 2022

A Comparison between IronOCR and Leadtools OCR

LEADTOOLS is a toolset built to provide you with the most potent image technology available, no matter your programming needs.

April 24, 2022

A Comparison between IronOCR and Abbyy Finereader

Abbyy Finereader allows us to convert Image documents (pictures, scans, PDF files) and screen captures can be converted to editable file formats.

April 7, 2022

Tesseract Ocr in Windows (Code Example Tutorial)

In this tutorial we will take you through the steps in order to install Tesseract on Windows 10 machine.

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.