// 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);
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);

// 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);

// 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);

dotnet remove package Dynamsoft.LabelRecognizer

dotnet remove package Dynamsoft.LabelRecognizer

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

// After (IronOCR)
using IronOcr;

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

// After (IronOCR)
using 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();

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();

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}%");

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}%");

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();

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();

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}%");

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}%");

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();

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();

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");

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");

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();

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();

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}%");
            }
        }
    }
}

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}%");
            }
        }
    }
}

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");

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");

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");

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");

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();

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();

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)}");

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)}");

// 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);

// 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);

// 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);

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);

// 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

// 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

// 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>();

// 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>();

// 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);

// 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);

# 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

# 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