Gurmukhi Alphabet OCR in C# and .NET

Updated: August 2, 2026

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

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

Contents of IronOcr.Languages.Gurmukhi

This package contains 73 OCR languages for .NET:

GurmukhiAlphabet
GurmukhiAlphabetBest
GurmukhiAlphabetFast

Download

Gurmukhi Alphabet Language Pack [Gurmukhī]

Download as Zip
Install with NuGet

Installation

The first thing we have to do is install our Gurmukhi Alphabet OCR package to your .NET project.

PM > Install-Package IronOcr.Languages.Gurmukhi

Install-Package IronOcr.Languages.Gurmukhi

Code Example

This C# code example reads Gurmukhi Alphabet text from an Image or PDF document.

// Import the IronOcr namespace
using IronOcr;

class Program
{
    static void Main()
    {
        // Create a new instance of IronTesseract
        var Ocr = new IronTesseract();

        // Set the OCR language to Gurmukhi
        Ocr.Language = OcrLanguage.Gurmukhi;

        // Define the input source for OCR using an image file path
        using (var Input = new OcrInput(@"images\Gurmukhi.png"))
        {
            // Perform OCR on the input
            var Result = Ocr.Read(Input);
            
            // Retrieve 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()
    {
        // Create a new instance of IronTesseract
        var Ocr = new IronTesseract();

        // Set the OCR language to Gurmukhi
        Ocr.Language = OcrLanguage.Gurmukhi;

        // Define the input source for OCR using an image file path
        using (var Input = new OcrInput(@"images\Gurmukhi.png"))
        {
            // Perform OCR on the input
            var Result = Ocr.Read(Input);
            
            // Retrieve the recognized text
            var AllText = Result.Text;

            // Output the recognized text
            Console.WriteLine(AllText);
        }
    }
}

' Import the IronOcr namespace
Imports IronOcr

Module Program
    Sub Main()
        ' Create a new instance of IronTesseract
        Dim Ocr As New IronTesseract()

        ' Set the OCR language to Gurmukhi
        Ocr.Language = OcrLanguage.Gurmukhi

        ' Define the input source for OCR using an image file path
        Using Input As New OcrInput("images\Gurmukhi.png")
            ' Perform OCR on the input
            Dim Result = Ocr.Read(Input)
            
            ' Retrieve the recognized text
            Dim AllText = Result.Text

            ' Output the recognized text
            Console.WriteLine(AllText)
        End Using
    End Sub
End Module

' Import the IronOcr namespace
Imports IronOcr

Module Program
    Sub Main()
        ' Create a new instance of IronTesseract
        Dim Ocr As New IronTesseract()

        ' Set the OCR language to Gurmukhi
        Ocr.Language = OcrLanguage.Gurmukhi

        ' Define the input source for OCR using an image file path
        Using Input As New OcrInput("images\Gurmukhi.png")
            ' Perform OCR on the input
            Dim Result = Ocr.Read(Input)
            
            ' Retrieve the recognized text
            Dim AllText = Result.Text

            ' Output the recognized text
            Console.WriteLine(AllText)
        End Using
    End Sub
End Module

Ensure that the necessary IronOCR libraries are installed in your project to use the Gurmukhi language pack.
Modify the path "images\Gurmukhi.png" to point to the actual image file you want to process.
This program reads text from the specified image and outputs it to the console.

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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