Macedonian OCR in C# and .NET
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IronOCR is a C# software component allowing .NET coders to read text from images and PDF documents in 126 languages, including Macedonian. It is an advanced fork of Tesseract, built exclusively for .NET developers and regularly outperforms other Tesseract engines for both speed and accuracy.
Contents of IronOcr.Languages.Macedonian
This package contains 55 OCR languages for .NET:
- Macedonian
- MacedonianBest
- MacedonianFast
Download
Macedonian Language Pack [македонски јазик]
Installation
The first thing we have to do is install our Macedonian OCR package to your .NET project.
Code Example
This C# code example reads Macedonian text from an Image or PDF document.
// Using IronOcr namespace
using IronOcr;
class Program
{
static void Main()
{
// Create an instance of IronTesseract
var Ocr = new IronTesseract();
// Set the language for OCR to Macedonian
Ocr.Language = OcrLanguage.Macedonian;
// Using OcrInput to load an image
using (var Input = new OcrInput(@"images\Macedonian.png"))
{
// Perform OCR on the input
var Result = Ocr.Read(Input);
// Get the recognized text
var AllText = Result.Text;
// Output the recognized text
Console.WriteLine(AllText);
}
}
}' Using IronOcr namespace
Imports IronOcr
Friend Class Program
Shared Sub Main()
' Create an instance of IronTesseract
Dim Ocr = New IronTesseract()
' Set the language for OCR to Macedonian
Ocr.Language = OcrLanguage.Macedonian
' Using OcrInput to load an image
Using Input = New OcrInput("images\Macedonian.png")
' Perform OCR on the input
Dim Result = Ocr.Read(Input)
' Get the recognized text
Dim AllText = Result.Text
' Output the recognized text
Console.WriteLine(AllText)
End Using
End Sub
End ClassExplanation:
- IronTesseract: This is a class from the IronOCR library which provides functionality to perform OCR operations.
- OcrInput: This class is used to specify the image or PDF file from which text needs to be extracted.
Ocr.Read(): This method performs the OCR process on the given input and returns the result which includes recognized text.
To run this code, make sure you have the IronOCR library installed and the Macedonian language package loaded in your project.
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.
