Cebuano OCR in C#
IronOCR is a C# software component allowing .NET coders to read text from images and PDF documents in 126 languages, including Cebuano. 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.Cebuano
This package contains 46 OCR languages for .NET:
- Cebuano
- CebuanoBest
- CebuanoFast
Download
Cebuano Language Pack [Bisaya]
Installation
The first thing we have to do is install our Cebuano OCR package to your .NET project.
Code Example
This C# code example reads Cebuano text from an image or PDF document.
// Install the IronOCR Cebuano language package via NuGet package manager
// PM> Install-Package IronOcr.Languages.Cebuano
using IronOcr;
class Program
{
static void Main()
{
// Instantiate an IronTesseract object
var Ocr = new IronTesseract();
// Set the OCR language to Cebuano
Ocr.Language = OcrLanguage.Cebuano;
// Define the input source containing the image or PDF with Cebuano text
using (var Input = new OcrInput(@"images\Cebuano.png"))
{
// Perform OCR to read the text from the input source
var Result = Ocr.Read(Input);
// Extract and display the recognized text
var AllText = Result.Text;
Console.WriteLine(AllText);
}
}
}' Install the IronOCR Cebuano language package via NuGet package manager
' PM> Install-Package IronOcr.Languages.Cebuano
Imports IronOcr
Module Program
Sub Main()
' Instantiate an IronTesseract object
Dim Ocr As New IronTesseract()
' Set the OCR language to Cebuano
Ocr.Language = OcrLanguage.Cebuano
' Define the input source containing the image or PDF with Cebuano text
Using Input As New OcrInput("images\Cebuano.png")
' Perform OCR to read the text from the input source
Dim Result = Ocr.Read(Input)
' Extract and display the recognized text
Dim AllText = Result.Text
Console.WriteLine(AllText)
End Using
End Sub
End ModuleThe above code snippet demonstrates how to use IronOCR to read Cebuano text from an image using C# and .NET. It begins by setting up the OCR engine and specifying the Cebuano language, then processes an image file and outputs the extracted text. Make sure that the image path is correctly specified for your project environment.
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.
