Financial Language Pack Support for IronOCR

Updated: July 6, 2026

Can I use the Financial Language Pack to assist with reading tables of data in IronOCR?

Yes, using the Financial Language Pack and saving as a searchable PDF can be a very effective means of accomplishing this.

IronOCR Financial Language Pack

IronOCR Financial Language Pack Documentation

Example Code

// Import the IronOcr library
using IronOcr;

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

        // Using statement to ensure proper disposal of resources
        using (var input = new OcrInput())
        {
            // Add a PDF file to be processed by OCR
            input.LoadPdf("TestPdf_new.pdf");
            
            // Optional: Add image filters if needed to improve OCR 
            // input.Deskew();    // Corrects rotation and skewing
            // input.DeNoise();   // Reduces noise and improves readability
            
            // Perform OCR on the input PDF
            var Result = Ocr.Read(input);
            
            // Extract the recognized text
            string TestResult = Result.Text;
            
            // Save the result as a searchable PDF using the Financial language pack
            Result.SaveAsSearchablePdf("Output_using_Financial_language_pack.pdf");
        }
    }
}

// Import the IronOcr library
using IronOcr;

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

        // Using statement to ensure proper disposal of resources
        using (var input = new OcrInput())
        {
            // Add a PDF file to be processed by OCR
            input.LoadPdf("TestPdf_new.pdf");
            
            // Optional: Add image filters if needed to improve OCR 
            // input.Deskew();    // Corrects rotation and skewing
            // input.DeNoise();   // Reduces noise and improves readability
            
            // Perform OCR on the input PDF
            var Result = Ocr.Read(input);
            
            // Extract the recognized text
            string TestResult = Result.Text;
            
            // Save the result as a searchable PDF using the Financial language pack
            Result.SaveAsSearchablePdf("Output_using_Financial_language_pack.pdf");
        }
    }
}

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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