Fraktur Alphabet OCR in C#

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 Fraktur 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.Fraktur

This package contains 70 OCR languages for .NET:

FrakturAlphabet
FrakturAlphabetBest
FrakturAlphabetFast

Download

Fraktur Alphabet Language Pack [Generic Fraktur]

Download as Zip
Install with NuGet

Installation

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

PM > Install-Package IronOcr.Languages.Fraktur

Install-Package IronOcr.Languages.Fraktur

Code Example

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

// Requires the IronOcr NuGet package and the Fraktur language package to be installed.

using IronOcr;

class FrakturOCRExample
{
    static void Main()
    {
        // Create an instance of the IronTesseract class
        var Ocr = new IronTesseract();
        
        // Set the OCR language to Fraktur
        Ocr.Language = OcrLanguage.Fraktur;
        
        // Load the image containing Fraktur text
        using (var Input = new OcrInput(@"images\Fraktur.png"))
        {
            // Perform OCR on the input image
            var Result = Ocr.Read(Input);
            
            // Retrieve and display the recognized text
            var AllText = Result.Text;
            Console.WriteLine(AllText);
        }
    }
}

// Requires the IronOcr NuGet package and the Fraktur language package to be installed.

using IronOcr;

class FrakturOCRExample
{
    static void Main()
    {
        // Create an instance of the IronTesseract class
        var Ocr = new IronTesseract();
        
        // Set the OCR language to Fraktur
        Ocr.Language = OcrLanguage.Fraktur;
        
        // Load the image containing Fraktur text
        using (var Input = new OcrInput(@"images\Fraktur.png"))
        {
            // Perform OCR on the input image
            var Result = Ocr.Read(Input);
            
            // Retrieve and display the recognized text
            var AllText = Result.Text;
            Console.WriteLine(AllText);
        }
    }
}

' Requires the IronOcr NuGet package and the Fraktur language package to be installed.

Imports IronOcr

Module FrakturOCRExample
    Sub Main()
        ' Create an instance of the IronTesseract class
        Dim Ocr As New IronTesseract()
        
        ' Set the OCR language to Fraktur
        Ocr.Language = OcrLanguage.Fraktur
        
        ' Load the image containing Fraktur text
        Using Input As New OcrInput("images\Fraktur.png")
            ' Perform OCR on the input image
            Dim Result = Ocr.Read(Input)
            
            ' Retrieve and display the recognized text
            Dim AllText = Result.Text
            Console.WriteLine(AllText)
        End Using
    End Sub
End Module

' Requires the IronOcr NuGet package and the Fraktur language package to be installed.

Imports IronOcr

Module FrakturOCRExample
    Sub Main()
        ' Create an instance of the IronTesseract class
        Dim Ocr As New IronTesseract()
        
        ' Set the OCR language to Fraktur
        Ocr.Language = OcrLanguage.Fraktur
        
        ' Load the image containing Fraktur text
        Using Input As New OcrInput("images\Fraktur.png")
            ' Perform OCR on the input image
            Dim Result = Ocr.Read(Input)
            
            ' Retrieve and display the recognized text
            Dim AllText = Result.Text
            Console.WriteLine(AllText)
        End Using
    End Sub
End Module

In this example:

We create an IronTesseract object which serves as our OCR engine.
We change the language setting to Fraktur using OcrLanguage.Fraktur.
We load an image file (@"images\Fraktur.png") into an OcrInput object.
The Ocr.Read() method processes the input image and returns the OCR result.
Finally, we print the extracted text 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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