Oriya OCR in C# and .NET

Curtis Chau

Updated: August 2, 2026

Contents of IronOcr.Languages.Oriya

This package contains several OCR languages for .NET:

Oriya
OriyaBest
OriyaFast
OriyaAlphabet
OriyaAlphabetBest
OriyaAlphabetFast

Download

Oriya Language Pack [ଓଡଆ]

Download as Zip
Install with NuGet

Installation

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

PM > Install-Package IronOcr.Languages.Oriya

Install-Package IronOcr.Languages.Oriya

Code Example

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

// This example demonstrates how to use the IronOCR library to perform OCR on an Oriya language image.
using IronOcr;

class Program
{
    static void Main()
    {
        // Instantiate the IronTesseract engine
        var Ocr = new IronTesseract();
        
        // Set the OCR language to Oriya
        Ocr.Language = OcrLanguage.Oriya;
        
        // Define the input file path for the OCR
        using (var Input = new OcrInput(@"images\Oriya.png"))
        {
            // Perform OCR and obtain the result
            var Result = Ocr.Read(Input);
            
            // Extract all recognized text from the result
            var AllText = Result.Text;
            
            // Output the recognized text
            Console.WriteLine(AllText);
        }
    }
}

// This example demonstrates how to use the IronOCR library to perform OCR on an Oriya language image.
using IronOcr;

class Program
{
    static void Main()
    {
        // Instantiate the IronTesseract engine
        var Ocr = new IronTesseract();
        
        // Set the OCR language to Oriya
        Ocr.Language = OcrLanguage.Oriya;
        
        // Define the input file path for the OCR
        using (var Input = new OcrInput(@"images\Oriya.png"))
        {
            // Perform OCR and obtain the result
            var Result = Ocr.Read(Input);
            
            // Extract all recognized text from the result
            var AllText = Result.Text;
            
            // Output the recognized text
            Console.WriteLine(AllText);
        }
    }
}

' This example demonstrates how to use the IronOCR library to perform OCR on an Oriya language image.
Imports IronOcr

Module Program
    Sub Main()
        ' Instantiate the IronTesseract engine
        Dim Ocr As New IronTesseract()

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

        ' Define the input file path for the OCR
        Using Input As New OcrInput("images\Oriya.png")
            ' Perform OCR and obtain the result
            Dim Result = Ocr.Read(Input)

            ' Extract all recognized text from the result
            Dim AllText = Result.Text

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

' This example demonstrates how to use the IronOCR library to perform OCR on an Oriya language image.
Imports IronOcr

Module Program
    Sub Main()
        ' Instantiate the IronTesseract engine
        Dim Ocr As New IronTesseract()

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

        ' Define the input file path for the OCR
        Using Input As New OcrInput("images\Oriya.png")
            ' Perform OCR and obtain the result
            Dim Result = Ocr.Read(Input)

            ' Extract all recognized text from the result
            Dim AllText = Result.Text

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

The IronTesseract object is used to configure and perform OCR.
The language for OCR is set to Oriya using OcrLanguage.Oriya.
The OcrInput allows you to specify the image or document that needs text extraction.
The Read() method performs the OCR and produces a result from which the recognized text can be extracted and utilized.

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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