Dynamsoft OCR'dan IronOCR'a Geçiş

// Dynamsoft: JSON template required before any image processing
LabelRecognizer.InitLicense(licenseKey);
var recognizer = new LabelRecognizer();

string settings = @"{
    ""LabelRecognizerParameterArray"": [{
        ""Name"": ""VIN_Label"",
        ""ReferenceRegionNameArray"": [""VinRegion""],
        ""CharacterModelName"": ""VIN""
    }],
    ""ReferenceRegionArray"": [{
        ""Name"": ""VinRegion"",
        ""Localization"": {
            ""SourceType"": ""LST_MANUAL_SPECIFICATION"",
            ""FirstPoint"":  [5, 40],
            ""SecondPoint"": [95, 40],
            ""ThirdPoint"":  [95, 60],
            ""FourthPoint"": [5, 60]
        }
    }]
}";

recognizer.AppendSettingsFromString(settings);  // fails silently if JSON is malformed
var results = recognizer.RecognizeFile(imagePath);

' Dynamsoft: JSON template required before any image processing
LabelRecognizer.InitLicense(licenseKey)
Dim recognizer As New LabelRecognizer()

Dim settings As String = "{
    ""LabelRecognizerParameterArray"": [{
        ""Name"": ""VIN_Label"",
        ""ReferenceRegionNameArray"": [""VinRegion""],
        ""CharacterModelName"": ""VIN""
    }],
    ""ReferenceRegionArray"": [{
        ""Name"": ""VinRegion"",
        ""Localization"": {
            ""SourceType"": ""LST_MANUAL_SPECIFICATION"",
            ""FirstPoint"":  [5, 40],
            ""SecondPoint"": [95, 40],
            ""ThirdPoint"":  [95, 60],
            ""FourthPoint"": [5, 60]
        }
    }]
}"

recognizer.AppendSettingsFromString(settings)  ' fails silently if JSON is malformed
Dim results = recognizer.RecognizeFile(imagePath)

// IronOCR: no JSON, no template files — region is a constructor argument
IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var region = new CropRectangle(x: 50, y: 400, width: 900, height: 200);
using var input = new OcrInput();
input.LoadImage(imagePath, region);

var result = new IronTesseract().Read(input);
Console.WriteLine(result.Text);

Imports IronOcr

' IronOCR: no JSON, no template files — region is a constructor argument
IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY"

Dim region As New CropRectangle(x:=50, y:=400, width:=900, height:=200)
Using input As New OcrInput()
    input.LoadImage(imagePath, region)

    Dim result = New IronTesseract().Read(input)
    Console.WriteLine(result.Text)
End Using

dotnet remove package Dynamsoft.LabelRecognizer

// Before (Dynamsoft)
using Dynamsoft.LabelRecognizer;
using Dynamsoft.Core;

// After (IronOCR)
using IronOcr;

Imports IronOcr

// Before (Dynamsoft — one call per product)
LabelRecognizer.InitLicense("DYNAMSOFT-LICENSE-KEY");

// After (IronOCR — one line, all features)
IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

' Before (Dynamsoft — one call per product)
LabelRecognizer.InitLicense("DYNAMSOFT-LICENSE-KEY")

' After (IronOCR — one line, all features)
IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY"

using Dynamsoft.LabelRecognizer;
using Dynamsoft.Core;

// JSON template required before recognition
LabelRecognizer.InitLicense(licenseKey);
var recognizer = new LabelRecognizer();

string invoiceTemplate = @"{
    ""LabelRecognizerParameterArray"": [{
        ""Name"": ""Invoice_Header"",
        ""ReferenceRegionNameArray"": [""HeaderRegion""],
        ""CharacterModelName"": ""NumberLetter""
    }],
    ""ReferenceRegionArray"": [{
        ""Name"": ""HeaderRegion"",
        ""Localization"": {
            ""SourceType"": ""LST_MANUAL_SPECIFICATION"",
            ""FirstPoint"":  [0, 0],
            ""SecondPoint"": [100, 0],
            ""ThirdPoint"":  [100, 20],
            ""FourthPoint"": [0, 20]
        }
    }]
}";

recognizer.AppendSettingsFromString(invoiceTemplate);

var results = recognizer.RecognizeFile("invoice.jpg");
var headerText = new StringBuilder();
foreach (var result in results)
    foreach (var line in result.LineResults)
        headerText.AppendLine(line.Text);

Console.WriteLine(headerText.ToString());
recognizer.Dispose();

Imports Dynamsoft.LabelRecognizer
Imports Dynamsoft.Core
Imports System.Text

' JSON template required before recognition
LabelRecognizer.InitLicense(licenseKey)
Dim recognizer As New LabelRecognizer()

Dim invoiceTemplate As String = "{
    ""LabelRecognizerParameterArray"": [{
        ""Name"": ""Invoice_Header"",
        ""ReferenceRegionNameArray"": [""HeaderRegion""],
        ""CharacterModelName"": ""NumberLetter""
    }],
    ""ReferenceRegionArray"": [{
        ""Name"": ""HeaderRegion"",
        ""Localization"": {
            ""SourceType"": ""LST_MANUAL_SPECIFICATION"",
            ""FirstPoint"":  [0, 0],
            ""SecondPoint"": [100, 0],
            ""ThirdPoint"":  [100, 20],
            ""FourthPoint"": [0, 20]
        }
    }]
}"

recognizer.AppendSettingsFromString(invoiceTemplate)

Dim results = recognizer.RecognizeFile("invoice.jpg")
Dim headerText As New StringBuilder()
For Each result In results
    For Each line In result.LineResults
        headerText.AppendLine(line.Text)
    Next
Next

Console.WriteLine(headerText.ToString())
recognizer.Dispose()

using IronOcr;

// No template file — region specified inline, engine auto-configures
var region = new CropRectangle(x: 0, y: 0, width: 1200, height: 200);
using var input = new OcrInput();
input.LoadImage("invoice.jpg", region);
input.Deskew();

var result = new IronTesseract().Read(input);
Console.WriteLine(result.Text);
Console.WriteLine($"Confidence: {result.Confidence}%");

Imports IronOcr

' No template file — region specified inline, engine auto-configures
Dim region As New CropRectangle(x:=0, y:=0, width:=1200, height:=200)
Using input As New OcrInput()
    input.LoadImage("invoice.jpg", region)
    input.Deskew()

    Dim result = New IronTesseract().Read(input)
    Console.WriteLine(result.Text)
    Console.WriteLine($"Confidence: {result.Confidence}%")
End Using

using Dynamsoft.LabelRecognizer;

LabelRecognizer.InitLicense(licenseKey);
var recognizer = new LabelRecognizer();

// VIN requires a specific character model and region configuration
string vinTemplate = @"{
    ""LabelRecognizerParameterArray"": [{
        ""Name"": ""VIN_Scan"",
        ""ReferenceRegionNameArray"": [""VIN_Zone""],
        ""CharacterModelName"": ""VIN""
    }],
    ""ReferenceRegionArray"": [{
        ""Name"": ""VIN_Zone"",
        ""Localization"": {
            ""SourceType"": ""LST_MANUAL_SPECIFICATION"",
            ""FirstPoint"":  [10, 35],
            ""SecondPoint"": [90, 35],
            ""ThirdPoint"":  [90, 65],
            ""FourthPoint"": [10, 65]
        }
    }]
}";
recognizer.AppendSettingsFromString(vinTemplate);

var results = recognizer.RecognizeFile("vehicle-vin.jpg");
string rawVin = results
    .SelectMany(r => r.LineResults)
    .Select(l => l.Text)
    .FirstOrDefault() ?? string.Empty;

Console.WriteLine($"Raw VIN text: {rawVin}");  // still requires validation
recognizer.Dispose();

Imports Dynamsoft.LabelRecognizer

LabelRecognizer.InitLicense(licenseKey)
Dim recognizer As New LabelRecognizer()

' VIN requires a specific character model and region configuration
Dim vinTemplate As String = "{
    ""LabelRecognizerParameterArray"": [{
        ""Name"": ""VIN_Scan"",
        ""ReferenceRegionNameArray"": [""VIN_Zone""],
        ""CharacterModelName"": ""VIN""
    }],
    ""ReferenceRegionArray"": [{
        ""Name"": ""VIN_Zone"",
        ""Localization"": {
            ""SourceType"": ""LST_MANUAL_SPECIFICATION"",
            ""FirstPoint"":  [10, 35],
            ""SecondPoint"": [90, 35],
            ""ThirdPoint"":  [90, 65],
            ""FourthPoint"": [10, 65]
        }
    }]
}"
recognizer.AppendSettingsFromString(vinTemplate)

Dim results = recognizer.RecognizeFile("vehicle-vin.jpg")
Dim rawVin As String = results _
    .SelectMany(Function(r) r.LineResults) _
    .Select(Function(l) l.Text) _
    .FirstOrDefault() OrElse String.Empty

Console.WriteLine($"Raw VIN text: {rawVin}")  ' still requires validation
recognizer.Dispose()

using IronOcr;
using System.Text.RegularExpressions;

// Target the VIN plate region directly — no template file
var vinRegion = new CropRectangle(x: 100, y: 350, width: 800, height: 300);

using var input = new OcrInput();
input.LoadImage("vehicle-vin.jpg", vinRegion);
input.Contrast();   // recover faded stamped digits
input.Sharpen();    // clarify character boundaries on embossed plates

var result = new IronTesseract().Read(input);

// VIN: 17 chars, no I/O/Q
var vinMatch = Regex.Match(result.Text, @"\b[A-HJ-NPR-Z0-9]{17}\b");
string vin = vinMatch.Success ? vinMatch.Value : result.Text.Trim();

Console.WriteLine($"VIN: {vin}");
Console.WriteLine($"Confidence: {result.Confidence}%");

Imports IronOcr
Imports System.Text.RegularExpressions

' Target the VIN plate region directly — no template file
Dim vinRegion As New CropRectangle(x:=100, y:=350, width:=800, height:=300)

Using input As New OcrInput()
    input.LoadImage("vehicle-vin.jpg", vinRegion)
    input.Contrast()   ' recover faded stamped digits
    input.Sharpen()    ' clarify character boundaries on embossed plates

    Dim result = New IronTesseract().Read(input)

    ' VIN: 17 chars, no I/O/Q
    Dim vinMatch = Regex.Match(result.Text, "\b[A-HJ-NPR-Z0-9]{17}\b")
    Dim vin As String = If(vinMatch.Success, vinMatch.Value, result.Text.Trim())

    Console.WriteLine($"VIN: {vin}")
    Console.WriteLine($"Confidence: {result.Confidence}%")
End Using

using Dynamsoft.LabelRecognizer;
// Requires an external TIFF library to extract frames

LabelRecognizer.InitLicense(licenseKey);
var recognizer = new LabelRecognizer();
recognizer.AppendSettingsFromString(genericTemplate);

// External library needed to iterate TIFF frames
var tiffImage = System.Drawing.Image.FromFile("scanned-batch.tiff");
int frameCount = tiffImage.GetFrameCount(
    System.Drawing.Imaging.FrameDimension.Page);

var allText = new StringBuilder();
for (int i = 0; i < frameCount; i++)
{
    tiffImage.SelectActiveFrame(System.Drawing.Imaging.FrameDimension.Page, i);
    string tempPath = $"frame_{i}.jpg";
    tiffImage.Save(tempPath, System.Drawing.Imaging.ImageFormat.Jpeg);

    var results = recognizer.RecognizeFile(tempPath);
    foreach (var r in results)
        foreach (var line in r.LineResults)
            allText.AppendLine(line.Text);

    System.IO.File.Delete(tempPath);  // clean up temp files
}

Console.WriteLine(allText.ToString());
recognizer.Dispose();

Imports Dynamsoft.LabelRecognizer
Imports System.Drawing
Imports System.Drawing.Imaging
Imports System.IO
Imports System.Text

' Requires an external TIFF library to extract frames

LabelRecognizer.InitLicense(licenseKey)
Dim recognizer As New LabelRecognizer()
recognizer.AppendSettingsFromString(genericTemplate)

' External library needed to iterate TIFF frames
Dim tiffImage As Image = Image.FromFile("scanned-batch.tiff")
Dim frameCount As Integer = tiffImage.GetFrameCount(FrameDimension.Page)

Dim allText As New StringBuilder()
For i As Integer = 0 To frameCount - 1
    tiffImage.SelectActiveFrame(FrameDimension.Page, i)
    Dim tempPath As String = $"frame_{i}.jpg"
    tiffImage.Save(tempPath, Imaging.ImageFormat.Jpeg)

    Dim results = recognizer.RecognizeFile(tempPath)
    For Each r In results
        For Each line In r.LineResults
            allText.AppendLine(line.Text)
        Next
    Next

    File.Delete(tempPath)  ' clean up temp files
Next

Console.WriteLine(allText.ToString())
recognizer.Dispose()

using IronOcr;

// No frame iteration, no temp files, no external TIFF library
using var input = new OcrInput();
input.LoadImageFrames("scanned-batch.tiff");  // loads all frames natively
input.Deskew();
input.DeNoise();

var ocr = new IronTesseract();
var result = ocr.Read(input);

// Results organized per page
foreach (var page in result.Pages)
{
    Console.WriteLine($"Frame {page.PageNumber}: {page.Lines.Count} lines");
    Console.WriteLine(page.Text);
}

// Save entire batch as a single searchable PDF
result.SaveAsSearchablePdf("batch-searchable.pdf");

Imports IronOcr

' No frame iteration, no temp files, no external TIFF library
Using input As New OcrInput()
    input.LoadImageFrames("scanned-batch.tiff") ' loads all frames natively
    input.Deskew()
    input.DeNoise()

    Dim ocr As New IronTesseract()
    Dim result = ocr.Read(input)

    ' Results organized per page
    For Each page In result.Pages
        Console.WriteLine($"Frame {page.PageNumber}: {page.Lines.Count} lines")
        Console.WriteLine(page.Text)
    Next

    ' Save entire batch as a single searchable PDF
    result.SaveAsSearchablePdf("batch-searchable.pdf")
End Using

using Dynamsoft.LabelRecognizer;

LabelRecognizer.InitLicense(licenseKey);
var recognizer = new LabelRecognizer();
recognizer.AppendSettingsFromString(settingsJson);

var results = recognizer.RecognizeFile("form-scan.jpg");

foreach (var dlrResult in results)
{
    foreach (var lineResult in dlrResult.LineResults)
    {
        // Line-level data only — word boundaries are not provided
        Console.WriteLine($"Text: {lineResult.Text}");
        Console.WriteLine($"Confidence: {lineResult.Confidence}");

        // Location is a quadrilateral — four corner points
        var loc = lineResult.Location;
        Console.WriteLine($"Top-left: ({loc.Points[0].X}, {loc.Points[0].Y})");

        // To get word positions: split text and divide bounding box manually
        var words = lineResult.Text.Split(' ');
        int approxWidth = (loc.Points[1].X - loc.Points[0].X) / words.Length;
        for (int i = 0; i < words.Length; i++)
        {
            int wordX = loc.Points[0].X + (i * approxWidth);
            Console.WriteLine($"  Word '{words[i]}' approx at x={wordX}");
        }
    }
}
recognizer.Dispose();

Imports Dynamsoft.LabelRecognizer

LabelRecognizer.InitLicense(licenseKey)
Dim recognizer As New LabelRecognizer()
recognizer.AppendSettingsFromString(settingsJson)

Dim results = recognizer.RecognizeFile("form-scan.jpg")

For Each dlrResult In results
    For Each lineResult In dlrResult.LineResults
        ' Line-level data only — word boundaries are not provided
        Console.WriteLine($"Text: {lineResult.Text}")
        Console.WriteLine($"Confidence: {lineResult.Confidence}")

        ' Location is a quadrilateral — four corner points
        Dim loc = lineResult.Location
        Console.WriteLine($"Top-left: ({loc.Points(0).X}, {loc.Points(0).Y})")

        ' To get word positions: split text and divide bounding box manually
        Dim words = lineResult.Text.Split(" "c)
        Dim approxWidth As Integer = (loc.Points(1).X - loc.Points(0).X) \ words.Length
        For i As Integer = 0 To words.Length - 1
            Dim wordX As Integer = loc.Points(0).X + (i * approxWidth)
            Console.WriteLine($"  Word '{words(i)}' approx at x={wordX}")
        Next
    Next
Next
recognizer.Dispose()

using IronOcr;

var result = new IronTesseract().Read("form-scan.jpg");

// Word-level positions are first-class properties — no manual division
foreach (var page in result.Pages)
{
    foreach (var paragraph in page.Paragraphs)
    {
        Console.WriteLine($"Paragraph at ({paragraph.X}, {paragraph.Y}): {paragraph.Text}");

        foreach (var line in paragraph.Lines)
        {
            foreach (var word in line.Words)
            {
                Console.WriteLine(
                    $"  Word: '{word.Text}' " +
                    $"at ({word.X},{word.Y}) " +
                    $"size {word.Width}x{word.Height} " +
                    $"confidence {word.Confidence}%");
            }
        }
    }
}

Imports IronOcr

Dim result = New IronTesseract().Read("form-scan.jpg")

' Word-level positions are first-class properties — no manual division
For Each page In result.Pages
    For Each paragraph In page.Paragraphs
        Console.WriteLine($"Paragraph at ({paragraph.X}, {paragraph.Y}): {paragraph.Text}")

        For Each line In paragraph.Lines
            For Each word In line.Words
                Console.WriteLine(
                    $"  Word: '{word.Text}' " &
                    $"at ({word.X},{word.Y}) " &
                    $"size {word.Width}x{word.Height} " &
                    $"confidence {word.Confidence}%")
            Next
        Next
    Next
Next

using Dynamsoft.LabelRecognizer;
using System.Threading.Tasks;

// InitLicense must be called once before parallel work begins
LabelRecognizer.InitLicense(licenseKey);

// Each thread needs its own recognizer instance with its own template load
var results = new System.Collections.Concurrent.ConcurrentBag<string>();

await Task.WhenAll(imagePaths.Select(async path =>
{
    // Cannot share recognizer instances safely across tasks
    var recognizer = new LabelRecognizer();
    recognizer.AppendSettingsFromString(templateJson);  // reload JSON per instance

    await Task.Run(() =>
    {
        var dlrResults = recognizer.RecognizeFile(path);
        var text = string.Join("\n",
            dlrResults.SelectMany(r => r.LineResults).Select(l => l.Text));
        results.Add(text);
    });

    recognizer.Dispose();
}));

Console.WriteLine($"Processed {results.Count} images");

Imports Dynamsoft.LabelRecognizer
Imports System.Threading.Tasks
Imports System.Collections.Concurrent

' InitLicense must be called once before parallel work begins
LabelRecognizer.InitLicense(licenseKey)

' Each thread needs its own recognizer instance with its own template load
Dim results As New ConcurrentBag(Of String)()

Await Task.WhenAll(imagePaths.Select(Async Function(path)
    ' Cannot share recognizer instances safely across tasks
    Dim recognizer As New LabelRecognizer()
    recognizer.AppendSettingsFromString(templateJson)  ' reload JSON per instance

    Await Task.Run(Sub()
        Dim dlrResults = recognizer.RecognizeFile(path)
        Dim text = String.Join(vbLf, dlrResults.SelectMany(Function(r) r.LineResults).Select(Function(l) l.Text))
        results.Add(text)
    End Sub)

    recognizer.Dispose()
End Function))

Console.WriteLine($"Processed {results.Count} images")

using IronOcr;
using System.Collections.Concurrent;
using System.Threading.Tasks;

var extractedTexts = new ConcurrentDictionary<string, string>();

// Each IronTesseract instance is independent — no shared state
Parallel.ForEach(imagePaths, imagePath =>
{
    var ocr = new IronTesseract();
    var result = ocr.Read(imagePath);
    extractedTexts[imagePath] = result.Text;
});

foreach (var (path, text) in extractedTexts)
    Console.WriteLine($"{System.IO.Path.GetFileName(path)}: {text.Length} characters");

Imports IronOcr
Imports System.Collections.Concurrent
Imports System.Threading.Tasks

Dim extractedTexts As New ConcurrentDictionary(Of String, String)()

' Each IronTesseract instance is independent — no shared state
Parallel.ForEach(imagePaths, Sub(imagePath)
    Dim ocr As New IronTesseract()
    Dim result = ocr.Read(imagePath)
    extractedTexts(imagePath) = result.Text
End Sub)

For Each kvp In extractedTexts
    Dim path = kvp.Key
    Dim text = kvp.Value
    Console.WriteLine($"{System.IO.Path.GetFileName(path)}: {text.Length} characters")
Next

using Dynamsoft.LabelRecognizer;

// Process scanned label — extract text into a string
LabelRecognizer.InitLicense(licenseKey);
var recognizer = new LabelRecognizer();
recognizer.AppendSettingsFromString(labelTemplate);

var results = recognizer.RecognizeFile("scanned-labels.jpg");
var extractedText = new StringBuilder();
foreach (var r in results)
    foreach (var line in r.LineResults)
        extractedText.AppendLine(line.Text);

// Cannot create a searchable PDF — save text to a sidecar .txt file instead
System.IO.File.WriteAllText("scanned-labels.txt", extractedText.ToString());

// The original image remains unsearchable
Console.WriteLine("No PDF output available in Dynamsoft Label Recognizer.");
recognizer.Dispose();

Imports Dynamsoft.LabelRecognizer
Imports System.IO
Imports System.Text

' Process scanned label — extract text into a string
LabelRecognizer.InitLicense(licenseKey)
Dim recognizer = New LabelRecognizer()
recognizer.AppendSettingsFromString(labelTemplate)

Dim results = recognizer.RecognizeFile("scanned-labels.jpg")
Dim extractedText = New StringBuilder()
For Each r In results
    For Each line In r.LineResults
        extractedText.AppendLine(line.Text)
    Next
Next

' Cannot create a searchable PDF — save text to a sidecar .txt file instead
File.WriteAllText("scanned-labels.txt", extractedText.ToString())

' The original image remains unsearchable
Console.WriteLine("No PDF output available in Dynamsoft Label Recognizer.")
recognizer.Dispose()

using IronOcr;

// Read, preprocess, and produce a searchable PDF archive in one pipeline
using var input = new OcrInput();
input.LoadImage("scanned-labels.jpg");
input.Deskew();
input.Contrast();

var ocr = new IronTesseract();
var result = ocr.Read(input);

// Searchable PDF: original image layer preserved, invisible text layer added
result.SaveAsSearchablePdf("scanned-labels-searchable.pdf");

Console.WriteLine($"Searchable PDF created. Confidence: {result.Confidence}%");
Console.WriteLine($"Extracted text preview: {result.Text.Substring(0, 100)}");

Imports IronOcr

' Read, preprocess, and produce a searchable PDF archive in one pipeline
Using input As New OcrInput()
    input.LoadImage("scanned-labels.jpg")
    input.Deskew()
    input.Contrast()

    Dim ocr As New IronTesseract()
    Dim result = ocr.Read(input)

    ' Searchable PDF: original image layer preserved, invisible text layer added
    result.SaveAsSearchablePdf("scanned-labels-searchable.pdf")

    Console.WriteLine($"Searchable PDF created. Confidence: {result.Confidence}%")
    Console.WriteLine($"Extracted text preview: {result.Text.Substring(0, 100)}")
End Using

// Remove all AppendSettingsFromString calls
// Replace region JSON with a CropRectangle constructor
var region = new CropRectangle(x: 0, y: 400, width: 1200, height: 300);
using var input = new OcrInput();
input.LoadImage(imagePath, region);
var result = new IronTesseract().Read(input);

Imports System

' Remove all AppendSettingsFromString calls
' Replace region JSON with a CropRectangle constructor
Dim region As New CropRectangle(x:=0, y:=400, width:=1200, height:=300)
Using input As New OcrInput()
    input.LoadImage(imagePath, region)
    Dim result = New IronTesseract().Read(input)
End Using

// Remove:
// LabelRecognizer.InitLicense(mrzKey);
// BarcodeReader.InitLicense(barcodeKey);
// DocumentNormalizer.InitLicense(docKey);

// Add once, at application startup:
IronOcr.License.LicenseKey = Environment.GetEnvironmentVariable("IRONOCR_LICENSE");

' Remove:
' LabelRecognizer.InitLicense(mrzKey)
' BarcodeReader.InitLicense(barcodeKey)
' DocumentNormalizer.InitLicense(docKey)

' Add once, at application startup:
IronOcr.License.LicenseKey = Environment.GetEnvironmentVariable("IRONOCR_LICENSE")

var result = new IronTesseract().Read(imagePath);

// Reading-order text — no manual aggregation
Console.WriteLine(result.Text);

// Or access paragraph-level groupings
foreach (var paragraph in result.Pages[0].Paragraphs)
    Console.WriteLine(paragraph.Text);

Imports IronOcr

Dim result = New IronTesseract().Read(imagePath)

' Reading-order text — no manual aggregation
Console.WriteLine(result.Text)

' Or access paragraph-level groupings
For Each paragraph In result.Pages(0).Paragraphs
    Console.WriteLine(paragraph.Text)
Next

// Validate license at startup — no template files to check
if (!IronOcr.License.IsValidLicense)
    throw new InvalidOperationException("IronOCR license key is invalid or missing.");

var ocr = new IronTesseract();
// Ready to process — no file dependencies

Imports IronOcr

' Validate license at startup — no template files to check
If Not IronOcr.License.IsValidLicense Then
    Throw New InvalidOperationException("IronOCR license key is invalid or missing.")
End If

Dim ocr As New IronTesseract()
' Ready to process — no file dependencies

// Short-lived pattern
using var input = new OcrInput();
input.LoadImage(imagePath);
var result = new IronTesseract().Read(input);

// Long-lived singleton (register in Program.cs)
builder.Services.AddSingleton<IronTesseract>();

Imports IronOcr

' Short-lived pattern
Using input As New OcrInput()
    input.LoadImage(imagePath)
    Dim result = (New IronTesseract()).Read(input)
End Using

' Long-lived singleton (register in Program.vb)
builder.Services.AddSingleton(Of IronTesseract)()

// No character model files needed
// For specialized fonts, use a custom language pack
var ocr = new IronTesseract();
ocr.Language = OcrLanguage.English;  // or load a custom trained pack

using var input = new OcrInput();
input.LoadImage(specializedFontImage);
input.Binarize();  // helps with specialized font clarity

var result = ocr.Read(input);

Imports IronTesseract

' No character model files needed
' For specialized fonts, use a custom language pack
Dim ocr As New IronTesseract()
ocr.Language = OcrLanguage.English  ' or load a custom trained pack

Using input As New OcrInput()
    input.LoadImage(specializedFontImage)
    input.Binarize()  ' helps with specialized font clarity

    Dim result = ocr.Read(input)
End Using

# Find all Dynamsoft using statements
grep -r "using Dynamsoft" --include="*.cs" .

# Find InitLicense calls (one per product)
grep -r "InitLicense" --include="*.cs" .

# Find AppendSettingsFromString calls (template loads)
grep -r "AppendSettingsFromString" --include="*.cs" .

# Find template JSON strings (inline or file references)
grep -r "LabelRecognizerParameterArray\|ReferenceRegionArray\|CharacterModelName" --include="*.cs" .

# Find RecognizeFile and RecognizeByFile calls
grep -r "RecognizeFile\|RecognizeByFile\|RecognizeBuffer" --include="*.cs" .

# Find LineResult result parsing patterns
grep -r "LineResults\|DLRResult\|DLRLineResult" --include="*.cs" .

# Identify any JSON template files in the project
find . -name "*.json" | xargs grep -l "LabelRecognizerParameterArray" 2>/dev/null