Using Custom OCR Language Packs with IronOCR

Updated: July 6, 2026

How to create custom language packs for use in IronOCR?

Creating a custom language pack requires training a new Tesseract LSTM language file/dictionary from a font.

There are many tutorials available online explaining the steps required to do this. The process is not simple, but it is thankfully quite well-documented.

As a good place to start, we suggest this YouTube tutorial from Gabriel Garcia (no affiliation) and their linked GitHub repository.

Once complete, the output will be a .traineddata file.

The .traineddata file can then be referenced in IronOCR as follows:

Documentation: IronOCR Custom Languages

using IronOcr;

class Program
{
    static void Main()
    {
        // Initialize the IronTesseract OCR engine
        var Ocr = new IronTesseract();

        // Load your custom Tesseract language file (trained .traineddata file)
        Ocr.UseCustomTesseractLanguageFile("mydir/custom.traineddata");  //<--- your new font

        // Multiple fonts can be used by calling the method multiple times with different files

        // Load an image into the OCR Input for processing
        using (var Input = new OcrInput())
        {
            Input.LoadImage(@"images\image.png");

            // Perform OCR on the input image
            var Result = Ocr.Read(Input);

            // Output the recognized text to the console
            Console.WriteLine(Result.Text);
        }
    }
}

using IronOcr;

class Program
{
    static void Main()
    {
        // Initialize the IronTesseract OCR engine
        var Ocr = new IronTesseract();

        // Load your custom Tesseract language file (trained .traineddata file)
        Ocr.UseCustomTesseractLanguageFile("mydir/custom.traineddata");  //<--- your new font

        // Multiple fonts can be used by calling the method multiple times with different files

        // Load an image into the OCR Input for processing
        using (var Input = new OcrInput())
        {
            Input.LoadImage(@"images\image.png");

            // Perform OCR on the input image
            var Result = Ocr.Read(Input);

            // Output the recognized text to the console
            Console.WriteLine(Result.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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