### Set OCR Language to Arabic

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Switch the recognition engine to Arabic by setting the Language property. Ensure the corresponding NuGet package is installed.

```csharp
using IronOcr;

var ocr = new IronTesseract();
oct.Language = OcrLanguage.Arabic;  // Requires IronOcr.Languages.Arabic NuGet package

using (var input = new OcrInput())
{
    input.AddImage("Inputs/arabic.gif");

    OcrResult result = ocr.Read(input);
    Console.WriteLine(result.Text);
    // Output: Arabic text extracted from the image

    // Optionally save to a text file:
    // result.SaveAsTextFile("arabic.txt");
}
```

--------------------------------

### Basic OCR from an Image File with IronTesseract

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Use the `IronTesseract.Read()` method with a file path for the simplest OCR operation. Ensure the image file exists at the specified path.

```csharp
using IronOcr;

var ocr = new IronTesseract();

// Pass a file path directly for the simplest case
OcrResult result = ocr.Read(@"Inputs\Potter.tiff");

Console.WriteLine(result.Text);
// Output: full extracted text from the image
```

--------------------------------

### Reading with OcrInput for Multiple Sources

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Utilize `OcrInput` to load various document types like images, multi-frame TIFFs, and PDFs before OCR. This allows combining multiple sources into a single read operation.

```csharp
using IronOcr;

var ocr = new IronTesseract();

using (var input = new OcrInput())
{
    input.AddImage("Inputs/ComSci.png");
    // Additional sources can be added:
    // input.AddPdf("Inputs/report.pdf");
    // input.AddMultiFrameTiff("Inputs/multipage.tiff");

    OcrResult result = ocr.Read(input);
    Console.WriteLine(result.Text);
}
```

--------------------------------

### Optimize Performance for Speed

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Tune performance by blacklisting characters, using Tesseract 5 with LSTM, and selecting a fast language model. This reduces processing time on clean inputs.

```csharp
using IronOcr;

var ocr = new IronTesseract();

// Speed-optimized configuration
oct.Configuration.BlackListCharacters = "~`$#^*_}{][|\@"; // Skip rarely needed symbols
oct.Configuration.PageSegmentationMode = TesseractPageSegmentationMode.Auto;
oct.Configuration.TesseractVersion = TesseractVersion.Tesseract5;
oct.Configuration.EngineMode = TesseractEngineMode.LstmOnly;
oct.Language = OcrLanguage.EnglishFast; // Lighter, faster language model

using (var input = new OcrInput(@"Inputs\Potter.tiff"))
{
    OcrResult result = ocr.Read(input);
    Console.WriteLine(result.Text);
    // Output: extracted text with significantly reduced processing time
}
```

--------------------------------

### Processing Low-Quality / Skewed Scans with Deskew

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Use `OcrInput.Deskew()` to automatically correct rotation and perspective distortion in scanned documents before OCR. This significantly improves accuracy on imperfect scans.

```csharp
using IronOcr;

var ocr = new IronTesseract();

using (var input = new OcrInput(@"Inputs\Potter.LowQuality.tiff"))
{
    input.Deskew(); // Automatically corrects rotation and perspective

    OcrResult result = ocr.Read(input);
    Console.WriteLine(result.Text);
    // Output: corrected, accurate text despite the low-quality input
}
```

--------------------------------

### Combining Multiple Input Sources for Unified OCR

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Add multiple images and PDFs to a single `OcrInput` instance to process them together. The `OcrResult` will contain unified text spanning all processed sources.

```csharp
using IronOcr;

var ocr = new IronTesseract();

using (var input = new OcrInput())
{
    input.AddImage("Inputs/Potter.tiff");
    input.AddPdf("Inputs/test.pdf");

    OcrResult result = ocr.Read(input);

    Console.WriteLine($"Total pages processed: {result.Pages.Length}");
    Console.WriteLine(result.Text);
}
```

--------------------------------

### Enable Barcode Reading

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Instruct the engine to detect and decode barcodes alongside text by setting `ReadBarCodes` to true. Decoded values are available in `OcrResult.Barcodes`.

```csharp
using IronOcr;

var ocr = new IronTesseract();
oct.Configuration.ReadBarCodes = true;  // Enable barcode detection

using (var input = new OcrInput())
{
    input.AddImage("Inputs/barcode.png");

    OcrResult result = ocr.Read(input);

    Console.WriteLine("Text: " + result.Text);

    foreach (var barcode in result.Barcodes)
    {
        Console.WriteLine($"Barcode value: {barcode.Value}");
    }
}
```

--------------------------------

### Reading Password-Protected PDFs

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Provide the password as the second argument to `OcrInput.AddPdf()` to unlock and extract text from encrypted PDF files.

```csharp
using IronOcr;

var ocr = new IronTesseract();

using (var input = new OcrInput())
{
    // Provide the PDF password as the second argument
    input.AddPdf("Inputs/test.pdf", "123");

    OcrResult result = ocr.Read(input);
    Console.WriteLine(result.Text);
    // Output: text extracted from each page of the unlocked PDF
}
```

--------------------------------

### Recognize Multiple Simultaneous Languages

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Enable recognition of multiple languages within the same document by adding secondary languages. Custom Tesseract .traineddata files are also supported.

```csharp
using IronOcr;

var ocr = new IronTesseract();
oct.Language = OcrLanguage.Arabic;          // Primary language
oct.AddSecondaryLanguage(OcrLanguage.English); // Secondary language
// ocr.AddSecondaryLanguage("custom.traineddata"); // Custom language data

using (var input = new OcrInput())
{
    input.AddImage("Inputs/MultiLanguage.png");

    OcrResult result = ocr.Read(input);
    Console.WriteLine(result.Text);
    // Output: mixed Arabic and English text recognized from the image
}
```

--------------------------------

### Cropping Region of Interest for Faster OCR

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Improve processing speed by specifying a `System.Drawing.Rectangle` to `OcrInput.AddImage()`, enabling OCR only on a particular pixel region. This is effective when relevant content is in a known area.

```csharp
using IronOcr;
using System.Drawing;

var ocr = new IronTesseract();

using (var input = new OcrInput())
{
    // Define the pixel region containing the text of interest
    var contentArea = new Rectangle { X = 164, Y = 354, Width = 191, Height = 77 };
    input.AddImage("Inputs/ComSci.png", contentArea);

    OcrResult result = ocr.Read(input);
    Console.WriteLine(result.Text);
    // Output: text extracted only from the specified rectangle
}
```

--------------------------------

### Export OCR Results as Searchable PDF

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Save OCR results to a PDF with a hidden text layer for searchability. A document title can be set on `OcrInput.Title`.

```csharp
using IronOcr;

var ocr = new IronTesseract();

using (var input = new OcrInput())
{
    input.Title = "Quarterly Report"; // Embedded document title
    input.AddImage("Inputs/Potter.tiff");
    input.AddPdf("Inputs/test.pdf");

    OcrResult result = ocr.Read(input);
    result.SaveAsSearchablePdf("Outputs/searchable.pdf");
    // Output: a PDF at the specified path with selectable/searchable text
}
```

--------------------------------

### Export OCR Results as hOCR HTML

Source: https://context7.com/iron-software/ironocr.examples/llms.txt

Export OCR results to an hOCR-format HTML file, which includes word-level bounding boxes for downstream processing.

```csharp
using IronOcr;

var ocr = new IronTesseract();

using (var input = new OcrInput())
{
    input.Title = "Html Title"; // Title embedded in the hOCR output

    OcrResult result = ocr.Read("Inputs/Potter.tiff");
    result.SaveAsHocrFile("Outputs/hocr.html");
    // Output: standard hOCR HTML with word-level bounding boxes
}
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.