English OCR in C# and .NET

Updated: April 8, 2026

IronOCR is a C# software component allowing .NET coders to read text from images and PDF documents in 126 languages, including English.

It is an advanced fork of Tesseract, built exclusively for the .NET developers and regularly outperforms other Tesseract engines for both speed and accuracy.

Contents of IronOcr.Languages.English

This package contains 64 OCR languages for .NET:

Download

English Language Pack [Modern English]

Download as Zip

Code Example

This C# code example reads English text from an image or PDF document.

// Import the IronOcr namespace
using IronOcr;

class Program
{
    static void Main()
    {
        // Initialize the IronTesseract OCR engine
        var Ocr = new IronTesseract();
        
        // Set the language to English
        Ocr.Language = OcrLanguage.English;

        // Define the input source as an image file
        using (var Input = new OcrInput(@"images\English.png"))
        {
            // Perform OCR to read the text from the input
            var Result = Ocr.Read(Input);
            
            // Get all the recognized text
            var AllText = Result.Text;
            
            // Output the recognized text
            Console.WriteLine(AllText);
        }
    }
}

// Import the IronOcr namespace
using IronOcr;

class Program
{
    static void Main()
    {
        // Initialize the IronTesseract OCR engine
        var Ocr = new IronTesseract();
        
        // Set the language to English
        Ocr.Language = OcrLanguage.English;

        // Define the input source as an image file
        using (var Input = new OcrInput(@"images\English.png"))
        {
            // Perform OCR to read the text from the input
            var Result = Ocr.Read(Input);
            
            // Get all the recognized text
            var AllText = Result.Text;
            
            // Output the recognized text
            Console.WriteLine(AllText);
        }
    }
}

Ensure you have the IronOCR package and the appropriate language pack installed.
This example initializes the OCR engine, sets it to process English, reads text from an input image, and outputs the recognized text.

Curtis Chau

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Technical Writer

Curtis Chau holds a Bachelor’s degree in Computer Science (Carleton University) and specializes in front-end development with expertise in Node.js, TypeScript, JavaScript, and React. Passionate about crafting intuitive and aesthetically pleasing user interfaces, Curtis enjoys working with modern frameworks and creating well-structured, visually appealing manuals.

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