Sindhi OCR in C# and .NET
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IronOCR is a C# software component that allows .NET developers to read text from images and PDF documents in 126 languages, including Sindhi. 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.Sindhi
This package contains 43 OCR languages for .NET:
- Sindhi
- SindhiBest
- SindhiFast
Download
Sindhi Language Pack [सिनधी]
Installation
The first thing to do is install the Sindhi OCR package in your .NET project.
Code Example
This C# code example reads Sindhi text from an image or PDF document.
// Ensure the IronOCR package and Sindhi language pack are installed
using IronOcr;
var Ocr = new IronTesseract
{
Language = OcrLanguage.Sindhi // Set the OCR language to Sindhi
};
// Open an image or PDF document for OCR processing
using (var Input = new OcrInput(@"images\Sindhi.png"))
{
// Perform OCR and get the results
var Result = Ocr.Read(Input);
// Extract the recognized text
var AllText = Result.Text;
// Optionally, you can do something with the extracted text,
// such as displaying or saving it to a file.
}' Ensure the IronOCR package and Sindhi language pack are installed
Imports IronOcr
Dim Ocr As New IronTesseract With {
.Language = OcrLanguage.Sindhi ' Set the OCR language to Sindhi
}
' Open an image or PDF document for OCR processing
Using Input As New OcrInput("images\Sindhi.png")
' Perform OCR and get the results
Dim Result = Ocr.Read(Input)
' Extract the recognized text
Dim AllText = Result.Text
' Optionally, you can do something with the extracted text,
' such as displaying or saving it to a file.
End UsingIn this code sample:
- We set up an instance of
IronTesseract. - Set the OCR language to Sindhi.
- Open an image file containing Sindhi text.
- Perform OCR on the image and extract the text using the
Readmethod. - The extracted text is stored in the
AllTextvariable for further use.
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.
