// PaddleOCR: three model directories, all must exist and match the wrapper version
FullOcrModel models = new FullOcrModel(
    LocalDetectionModel.FromDirectory("models/ch_PP-OCRv4_det_infer"),       // ~5MB
    LocalClassificationModel.FromDirectory("models/ch_ppocr_mobile_v2.0_cls_infer"), // ~2MB
    LocalRecognitionModel.FromDirectory("models/ch_PP-OCRv4_rec_infer")      // ~15MB
);
using PaddleOcrAll ocr = new PaddleOcrAll(models);
using Mat mat = Cv2.ImRead("document.png");  // OpenCvSharp required for every image
PaddleOcrResult result = ocr.Run(mat);

// PaddleOCR: three model directories, all must exist and match the wrapper version
FullOcrModel models = new FullOcrModel(
    LocalDetectionModel.FromDirectory("models/ch_PP-OCRv4_det_infer"),       // ~5MB
    LocalClassificationModel.FromDirectory("models/ch_ppocr_mobile_v2.0_cls_infer"), // ~2MB
    LocalRecognitionModel.FromDirectory("models/ch_PP-OCRv4_rec_infer")      // ~15MB
);
using PaddleOcrAll ocr = new PaddleOcrAll(models);
using Mat mat = Cv2.ImRead("document.png");  // OpenCvSharp required for every image
PaddleOcrResult result = ocr.Run(mat);

// IronOCR: one package, zero model management
var ocr = new IronTesseract();
using var input = new OcrInput();
input.LoadImage("document.png");
var result = ocr.Read(input);
Console.WriteLine(result.Text);

// IronOCR: one package, zero model management
var ocr = new IronTesseract();
using var input = new OcrInput();
input.LoadImage("document.png");
var result = ocr.Read(input);
Console.WriteLine(result.Text);

dotnet remove package Sdcb.PaddleOCR
dotnet remove package Sdcb.PaddleOCR.Models.Online
dotnet remove package Sdcb.PaddleInference.runtime.win64.mkl
dotnet remove package OpenCvSharp4
dotnet remove package OpenCvSharp4.runtime.win

dotnet remove package Sdcb.PaddleOCR
dotnet remove package Sdcb.PaddleOCR.Models.Online
dotnet remove package Sdcb.PaddleInference.runtime.win64.mkl
dotnet remove package OpenCvSharp4
dotnet remove package OpenCvSharp4.runtime.win

dotnet remove package Sdcb.PaddleInference.runtime.win64.cuda118

dotnet remove package Sdcb.PaddleInference.runtime.win64.cuda118

// Before (PaddleOCR)
using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models;
using Sdcb.PaddleOCR.Models.Online;
using Sdcb.PaddleInference;
using OpenCvSharp;

// After (IronOCR)
using IronOcr;

// Before (PaddleOCR)
using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models;
using Sdcb.PaddleOCR.Models.Online;
using Sdcb.PaddleInference;
using OpenCvSharp;

// After (IronOCR)
using IronOcr;

// Local model configuration — developer owns the directory structure
// Each wrapper update may require re-downloading model files
string modelsRoot = Path.Combine(AppContext.BaseDirectory, "models");

FullOcrModel models = new FullOcrModel(
    LocalDetectionModel.FromDirectory(
        Path.Combine(modelsRoot, "ch_PP-OCRv4_det_infer")),
    LocalClassificationModel.FromDirectory(
        Path.Combine(modelsRoot, "ch_ppocr_mobile_v2.0_cls_infer")),
    LocalRecognitionModel.FromDirectory(
        Path.Combine(modelsRoot, "ch_PP-OCRv4_rec_infer"))
);

// Fails at runtime if any of the three directories is missing or stale
using PaddleOcrAll ocr = new PaddleOcrAll(models)
{
    AllowRotateDetection = true,
    Enable180Classification = true
};

using Mat mat = Cv2.ImRead("document.png");
PaddleOcrResult result = ocr.Run(mat);
Console.WriteLine(result.Text);

// Local model configuration — developer owns the directory structure
// Each wrapper update may require re-downloading model files
string modelsRoot = Path.Combine(AppContext.BaseDirectory, "models");

FullOcrModel models = new FullOcrModel(
    LocalDetectionModel.FromDirectory(
        Path.Combine(modelsRoot, "ch_PP-OCRv4_det_infer")),
    LocalClassificationModel.FromDirectory(
        Path.Combine(modelsRoot, "ch_ppocr_mobile_v2.0_cls_infer")),
    LocalRecognitionModel.FromDirectory(
        Path.Combine(modelsRoot, "ch_PP-OCRv4_rec_infer"))
);

// Fails at runtime if any of the three directories is missing or stale
using PaddleOcrAll ocr = new PaddleOcrAll(models)
{
    AllowRotateDetection = true,
    Enable180Classification = true
};

using Mat mat = Cv2.ImRead("document.png");
PaddleOcrResult result = ocr.Run(mat);
Console.WriteLine(result.Text);

//Hayırmodel directories, no path configuration, no version matching
IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var ocr = new IronTesseract();

using var input = new OcrInput();
input.LoadImage("document.png");

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

//Hayırmodel directories, no path configuration, no version matching
IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var ocr = new IronTesseract();

using var input = new OcrInput();
input.LoadImage("document.png");

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

using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models.Online;
using OpenCvSharp;

// Separate async initialization step — blocks startup for 3-5 seconds on cold run
FullOcrModel models = await OnlineFullModels.EnglishV4.DownloadAsync();

using PaddleOcrAll ocr = new PaddleOcrAll(models)
{
    AllowRotateDetection = true,        // Enables 0/90/180/270 degree rotation detection
    Enable180Classification = true      // Additional pass for upside-down text
};

// OpenCV Mat required — no direct file path support
using Mat mat = Cv2.ImRead("rotated-scan.png");

if (mat.Empty())
{
    throw new FileNotFoundException("Image could not be loaded by OpenCvSharp");
}

// Three neural network passes: detection → classification → recognition
PaddleOcrResult result = ocr.Run(mat);

// Regions arrive in spatial order, not reading order
// Manual sort required for top-to-bottom, left-to-right output
var orderedRegions = result.Regions
    .OrderBy(r => r.Rect.Center.Y)
    .ThenBy(r => r.Rect.Center.X);

foreach (var region in orderedRegions)
{
    Console.WriteLine($"{region.Text} (confidence: {region.Score:P1})");
}

using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models.Online;
using OpenCvSharp;

// Separate async initialization step — blocks startup for 3-5 seconds on cold run
FullOcrModel models = await OnlineFullModels.EnglishV4.DownloadAsync();

using PaddleOcrAll ocr = new PaddleOcrAll(models)
{
    AllowRotateDetection = true,        // Enables 0/90/180/270 degree rotation detection
    Enable180Classification = true      // Additional pass for upside-down text
};

// OpenCV Mat required — no direct file path support
using Mat mat = Cv2.ImRead("rotated-scan.png");

if (mat.Empty())
{
    throw new FileNotFoundException("Image could not be loaded by OpenCvSharp");
}

// Three neural network passes: detection → classification → recognition
PaddleOcrResult result = ocr.Run(mat);

// Regions arrive in spatial order, not reading order
// Manual sort required for top-to-bottom, left-to-right output
var orderedRegions = result.Regions
    .OrderBy(r => r.Rect.Center.Y)
    .ThenBy(r => r.Rect.Center.X);

foreach (var region in orderedRegions)
{
    Console.WriteLine($"{region.Text} (confidence: {region.Score:P1})");
}

using IronOcr;

IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var ocr = new IronTesseract();

using var input = new OcrInput();
input.LoadImage("rotated-scan.png");
input.Deskew();    // Corrects rotation and skew automatically

var result = ocr.Read(input);

// Output is already in reading order — no sort needed
foreach (var page in result.Pages)
{
    foreach (var line in page.Lines)
    {
        Console.WriteLine($"{line.Text} (confidence: {line.Confidence}%)");
    }
}

using IronOcr;

IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var ocr = new IronTesseract();

using var input = new OcrInput();
input.LoadImage("rotated-scan.png");
input.Deskew();    // Corrects rotation and skew automatically

var result = ocr.Read(input);

// Output is already in reading order — no sort needed
foreach (var page in result.Pages)
{
    foreach (var line in page.Lines)
    {
        Console.WriteLine($"{line.Text} (confidence: {line.Confidence}%)");
    }
}

using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models.Online;
using Sdcb.PaddleInference;    // GPU configuration namespace
using OpenCvSharp;

// Prerequisites must exist on every deployment environment:
// - NVIDIA Driver 452.39+ (Windows) / 450.80.02+ (Linux)
// - CUDA Toolkit 11.8 (not 12.x — version must match exactly)
// - cuDNN 8.6.0+ placed in CUDA bin directory
// - dotnet add package Sdcb.PaddleInference.runtime.win64.cuda118

FullOcrModel models = await OnlineFullModels.ChineseV4.DownloadAsync();

// GPU device 0, 1000MB initial memory pool
// Throws native load exception if CUDA_PATH not set or cuDNN DLL missing
using PaddleOcrAll ocr = new PaddleOcrAll(models, PaddleDevice.Gpu(deviceId: 0))
{
    AllowRotateDetection = true,
    Enable180Classification = true
};

using Mat mat = Cv2.ImRead("scanned-batch.png");
PaddleOcrResult result = ocr.Run(mat);

Console.WriteLine($"Text regions: {result.Regions.Length}");
Console.WriteLine(result.Text);

using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models.Online;
using Sdcb.PaddleInference;    // GPU configuration namespace
using OpenCvSharp;

// Prerequisites must exist on every deployment environment:
// - NVIDIA Driver 452.39+ (Windows) / 450.80.02+ (Linux)
// - CUDA Toolkit 11.8 (not 12.x — version must match exactly)
// - cuDNN 8.6.0+ placed in CUDA bin directory
// - dotnet add package Sdcb.PaddleInference.runtime.win64.cuda118

FullOcrModel models = await OnlineFullModels.ChineseV4.DownloadAsync();

// GPU device 0, 1000MB initial memory pool
// Throws native load exception if CUDA_PATH not set or cuDNN DLL missing
using PaddleOcrAll ocr = new PaddleOcrAll(models, PaddleDevice.Gpu(deviceId: 0))
{
    AllowRotateDetection = true,
    Enable180Classification = true
};

using Mat mat = Cv2.ImRead("scanned-batch.png");
PaddleOcrResult result = ocr.Run(mat);

Console.WriteLine($"Text regions: {result.Regions.Length}");
Console.WriteLine(result.Text);

using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models.Online;
using OpenCvSharp;
using System.Collections.Generic;

FullOcrModel models = await OnlineFullModels.EnglishV4.DownloadAsync();
using PaddleOcrAll ocr = new PaddleOcrAll(models);
using Mat mat = Cv2.ImRead("invoice.png");

PaddleOcrResult result = ocr.Run(mat);

//Hayırparagraph or line grouping — must implement manually
// Group regions into lines by proximity on the Y axis
var lineGroups = new Dictionary<int, List<PaddleOcrResultRegion>>();

foreach (var region in result.Regions)
{
    // Round Y center to nearest 15 pixels to approximate line grouping
    int lineKey = (int)(region.Rect.Center.Y / 15) * 15;

    if (!lineGroups.ContainsKey(lineKey))
        lineGroups[lineKey] = new List<PaddleOcrResultRegion>();

    lineGroups[lineKey].Add(region);
}

// Sort lines top to bottom, then regions left to right within each line
foreach (var line in lineGroups.OrderBy(kv => kv.Key))
{
    var lineText = string.Join(" ", line.Value
        .OrderBy(r => r.Rect.Center.X)
        .Select(r => r.Text));

    Console.WriteLine(lineText);
}

using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models.Online;
using OpenCvSharp;
using System.Collections.Generic;

FullOcrModel models = await OnlineFullModels.EnglishV4.DownloadAsync();
using PaddleOcrAll ocr = new PaddleOcrAll(models);
using Mat mat = Cv2.ImRead("invoice.png");

PaddleOcrResult result = ocr.Run(mat);

//Hayırparagraph or line grouping — must implement manually
// Group regions into lines by proximity on the Y axis
var lineGroups = new Dictionary<int, List<PaddleOcrResultRegion>>();

foreach (var region in result.Regions)
{
    // Round Y center to nearest 15 pixels to approximate line grouping
    int lineKey = (int)(region.Rect.Center.Y / 15) * 15;

    if (!lineGroups.ContainsKey(lineKey))
        lineGroups[lineKey] = new List<PaddleOcrResultRegion>();

    lineGroups[lineKey].Add(region);
}

// Sort lines top to bottom, then regions left to right within each line
foreach (var line in lineGroups.OrderBy(kv => kv.Key))
{
    var lineText = string.Join(" ", line.Value
        .OrderBy(r => r.Rect.Center.X)
        .Select(r => r.Text));

    Console.WriteLine(lineText);
}

using IronOcr;

IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var ocr = new IronTesseract();

using var input = new OcrInput();
input.LoadImage("invoice.png");

var result = ocr.Read(input);

// Hierarchical structure: Pages → Paragraphs → Lines → Words → Characters
// All delivered in reading order by the layout engine
foreach (var page in result.Pages)
{
    Console.WriteLine($"Page {page.PageNumber} — {page.Words.Count} words");

    foreach (var paragraph in page.Paragraphs)
    {
        Console.WriteLine($"  Paragraph at ({paragraph.X}, {paragraph.Y}):");
        Console.WriteLine($"  {paragraph.Text}");
    }
}

using IronOcr;

IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var ocr = new IronTesseract();

using var input = new OcrInput();
input.LoadImage("invoice.png");

var result = ocr.Read(input);

// Hierarchical structure: Pages → Paragraphs → Lines → Words → Characters
// All delivered in reading order by the layout engine
foreach (var page in result.Pages)
{
    Console.WriteLine($"Page {page.PageNumber} — {page.Words.Count} words");

    foreach (var paragraph in page.Paragraphs)
    {
        Console.WriteLine($"  Paragraph at ({paragraph.X}, {paragraph.Y}):");
        Console.WriteLine($"  {paragraph.Text}");
    }
}

using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models.Online;
using OpenCvSharp;
// Requires additional package: PdfSharp, iTextSharp, or similar
// Manual coordinate remapping from OpenCV pixel space to PDF point space

FullOcrModel models = await OnlineFullModels.EnglishV4.DownloadAsync();
using PaddleOcrAll ocr = new PaddleOcrAll(models);
using Mat mat = Cv2.ImRead("scanned-page.png");

PaddleOcrResult paddleResult = ocr.Run(mat);

//Hayırbuilt-in searchable PDF output — must build with external library
// region.Rect coordinates are in pixel space, PDF uses points (1 point = 1/72 inch)
// DPI conversion required for coordinate mapping
float dpiScale = 72.0f / 96.0f;  // Assuming 96 DPI source image

// ... hundreds of lines of PDF construction code using external library ...
// This is permanent maintenance, not a one-time cost
Console.WriteLine("Searchable PDF output requires external PDF library and coordinate mapping.");

using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models.Online;
using OpenCvSharp;
// Requires additional package: PdfSharp, iTextSharp, or similar
// Manual coordinate remapping from OpenCV pixel space to PDF point space

FullOcrModel models = await OnlineFullModels.EnglishV4.DownloadAsync();
using PaddleOcrAll ocr = new PaddleOcrAll(models);
using Mat mat = Cv2.ImRead("scanned-page.png");

PaddleOcrResult paddleResult = ocr.Run(mat);

//Hayırbuilt-in searchable PDF output — must build with external library
// region.Rect coordinates are in pixel space, PDF uses points (1 point = 1/72 inch)
// DPI conversion required for coordinate mapping
float dpiScale = 72.0f / 96.0f;  // Assuming 96 DPI source image

// ... hundreds of lines of PDF construction code using external library ...
// This is permanent maintenance, not a one-time cost
Console.WriteLine("Searchable PDF output requires external PDF library and coordinate mapping.");

using IronOcr;

IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var ocr = new IronTesseract();

using var input = new OcrInput();
input.LoadImage("scanned-page.png");
input.Deskew();
input.DeNoise();

var result = ocr.Read(input);

// Searchable PDF in one line — no external PDF library, no coordinate mapping
result.SaveAsSearchablePdf("searchable-output.pdf");

Console.WriteLine($"Searchable PDF created. Confidence: {result.Confidence}%");

using IronOcr;

IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var ocr = new IronTesseract();

using var input = new OcrInput();
input.LoadImage("scanned-page.png");
input.Deskew();
input.DeNoise();

var result = ocr.Read(input);

// Searchable PDF in one line — no external PDF library, no coordinate mapping
result.SaveAsSearchablePdf("searchable-output.pdf");

Console.WriteLine($"Searchable PDF created. Confidence: {result.Confidence}%");

using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models.Online;
using OpenCvSharp;
using System.Drawing;  // For multi-frame TIFF extraction
using System.Drawing.Imaging;
using System.Text;

FullOcrModel models = await OnlineFullModels.EnglishV4.DownloadAsync();
using PaddleOcrAll ocr = new PaddleOcrAll(models);

var fullText = new StringBuilder();

// Must use System.Drawing to extract individual TIFF frames
// OpenCvSharp cannot enumerate TIFF frames directly
using var tiff = Image.FromFile("multipage-scan.tiff");
FrameDimension dimension = new FrameDimension(tiff.FrameDimensionsList[0]);
int frameCount = tiff.GetFrameCount(dimension);

for (int i = 0; i < frameCount; i++)
{
    tiff.SelectActiveFrame(dimension, i);

    // Save frame to temp file — OpenCvSharp needs a file path
    string tempPath = Path.GetTempFileName() + ".png";
    tiff.Save(tempPath, ImageFormat.Png);

    try
    {
        using Mat mat = Cv2.ImRead(tempPath);
        PaddleOcrResult result = ocr.Run(mat);
        fullText.AppendLine($"=== Frame {i + 1} ===");
        fullText.AppendLine(result.Text);
    }
    finally
    {
        File.Delete(tempPath);  // Must clean up temp files
    }
}

Console.WriteLine(fullText.ToString());

using Sdcb.PaddleOCR;
using Sdcb.PaddleOCR.Models.Online;
using OpenCvSharp;
using System.Drawing;  // For multi-frame TIFF extraction
using System.Drawing.Imaging;
using System.Text;

FullOcrModel models = await OnlineFullModels.EnglishV4.DownloadAsync();
using PaddleOcrAll ocr = new PaddleOcrAll(models);

var fullText = new StringBuilder();

// Must use System.Drawing to extract individual TIFF frames
// OpenCvSharp cannot enumerate TIFF frames directly
using var tiff = Image.FromFile("multipage-scan.tiff");
FrameDimension dimension = new FrameDimension(tiff.FrameDimensionsList[0]);
int frameCount = tiff.GetFrameCount(dimension);

for (int i = 0; i < frameCount; i++)
{
    tiff.SelectActiveFrame(dimension, i);

    // Save frame to temp file — OpenCvSharp needs a file path
    string tempPath = Path.GetTempFileName() + ".png";
    tiff.Save(tempPath, ImageFormat.Png);

    try
    {
        using Mat mat = Cv2.ImRead(tempPath);
        PaddleOcrResult result = ocr.Run(mat);
        fullText.AppendLine($"=== Frame {i + 1} ===");
        fullText.AppendLine(result.Text);
    }
    finally
    {
        File.Delete(tempPath);  // Must clean up temp files
    }
}

Console.WriteLine(fullText.ToString());

using IronOcr;

IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var ocr = new IronTesseract();

using var input = new OcrInput();
input.LoadImageFrames("multipage-scan.tiff");  // All frames in one call

var result = ocr.Read(input);

foreach (var page in result.Pages)
{
    Console.WriteLine($"=== Frame {page.PageNumber} ===");
    Console.WriteLine(page.Text);
}

// Optionally save the entire multi-frame result as searchable PDF
result.SaveAsSearchablePdf("multipage-searchable.pdf");

using IronOcr;

IronOcr.License.LicenseKey = "YOUR-LICENSE-KEY";

var ocr = new IronTesseract();

using var input = new OcrInput();
input.LoadImageFrames("multipage-scan.tiff");  // All frames in one call

var result = ocr.Read(input);

foreach (var page in result.Pages)
{
    Console.WriteLine($"=== Frame {page.PageNumber} ===");
    Console.WriteLine(page.Text);
}

// Optionally save the entire multi-frame result as searchable PDF
result.SaveAsSearchablePdf("multipage-searchable.pdf");

// PaddleOCR: filter at 0.8
var highConfidence = result.Regions.Where(r => r.Score >= 0.8);

//IronOCR equivalent: filter at 80
var highConfidence = result.Pages
    .SelectMany(p => p.Words)
    .Where(w => w.Confidence >= 80);

// PaddleOCR: filter at 0.8
var highConfidence = result.Regions.Where(r => r.Score >= 0.8);

//IronOCR equivalent: filter at 80
var highConfidence = result.Pages
    .SelectMany(p => p.Words)
    .Where(w => w.Confidence >= 80);

// PaddleOCR: manual sort required for reading order
var lines = result.Regions
    .OrderBy(r => r.Rect.Center.Y)
    .ThenBy(r => r.Rect.Center.X)
    .Select(r => r.Text);

// IronOCR: reading order is the default
var lines = result.Pages[0].Lines.Select(l => l.Text);

// PaddleOCR: manual sort required for reading order
var lines = result.Regions
    .OrderBy(r => r.Rect.Center.Y)
    .ThenBy(r => r.Rect.Center.X)
    .Select(r => r.Text);

// IronOCR: reading order is the default
var lines = result.Pages[0].Lines.Select(l => l.Text);

// PaddleOCR: stream → temp file → Mat → OCR
string tempPath = Path.GetTempFileName() + ".png";
using (var fs = File.Create(tempPath))
    await imageStream.CopyToAsync(fs);
using Mat mat = Cv2.ImRead(tempPath);
PaddleOcrResult result = ocr.Run(mat);
File.Delete(tempPath);

// IronOCR: stream → OCR (no temp file)
using var input = new OcrInput();
input.LoadImage(imageStream);
var result = ocr.Read(input);

// PaddleOCR: stream → temp file → Mat → OCR
string tempPath = Path.GetTempFileName() + ".png";
using (var fs = File.Create(tempPath))
    await imageStream.CopyToAsync(fs);
using Mat mat = Cv2.ImRead(tempPath);
PaddleOcrResult result = ocr.Run(mat);
File.Delete(tempPath);

// IronOCR: stream → OCR (no temp file)
using var input = new OcrInput();
input.LoadImage(imageStream);
var result = ocr.Read(input);

// PaddleOCR: async forced by model download
public async Task<string> ExtractTextAsync(string imagePath)
{
    FullOcrModel models = await OnlineFullModels.EnglishV4.DownloadAsync();
    using PaddleOcrAll ocr = new PaddleOcrAll(models);
    using Mat mat = Cv2.ImRead(imagePath);
    return ocr.Run(mat).Text;
}

// IronOCR: synchronous — no async required unless the caller needs it
public string ExtractText(string imagePath)
{
    var ocr = new IronTesseract();
    using var input = new OcrInput();
    input.LoadImage(imagePath);
    return ocr.Read(input).Text;
}

// PaddleOCR: async forced by model download
public async Task<string> ExtractTextAsync(string imagePath)
{
    FullOcrModel models = await OnlineFullModels.EnglishV4.DownloadAsync();
    using PaddleOcrAll ocr = new PaddleOcrAll(models);
    using Mat mat = Cv2.ImRead(imagePath);
    return ocr.Run(mat).Text;
}

// IronOCR: synchronous — no async required unless the caller needs it
public string ExtractText(string imagePath)
{
    var ocr = new IronTesseract();
    using var input = new OcrInput();
    input.LoadImage(imagePath);
    return ocr.Read(input).Text;
}

# PaddleOCR Dockerfile (remove all of this)
FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
RUN apt-get update && apt-get install -y libopencv-dev libgdiplus
COPY models/ /app/models/
COPY . /app

# IronOCR Dockerfile (clean)
FROM mcr.microsoft.com/dotnet/aspnet:8.0
COPY . /app
WORKDIR /app
ENTRYPOINT ["dotnet", "YourApp.dll"]

# PaddleOCR Dockerfile (remove all of this)
FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
RUN apt-get update && apt-get install -y libopencv-dev libgdiplus
COPY models/ /app/models/
COPY . /app

# IronOCR Dockerfile (clean)
FROM mcr.microsoft.com/dotnet/aspnet:8.0
COPY . /app
WORKDIR /app
ENTRYPOINT ["dotnet", "YourApp.dll"]

# Remove from CI/CD pipeline:
# - name: Cache PaddleOCR models
#   uses: actions/cache@v3
#   with:
#     path: models/
#     key: paddleocr-models-${{ env.PADDLEOCR_VERSION }}

# IronOCR only needs standard NuGet caching:
- name: Cache NuGet packages
  uses: actions/cache@v3
  with:
    path: ~/.nuget/packages
    key: nuget-${{ hashFiles('**/*.csproj') }}

# Remove from CI/CD pipeline:
# - name: Cache PaddleOCR models
#   uses: actions/cache@v3
#   with:
#     path: models/
#     key: paddleocr-models-${{ env.PADDLEOCR_VERSION }}

# IronOCR only needs standard NuGet caching:
- name: Cache NuGet packages
  uses: actions/cache@v3
  with:
    path: ~/.nuget/packages
    key: nuget-${{ hashFiles('**/*.csproj') }}

# Find all PaddleOCR namespace imports
grep -rn "using Sdcb.PaddleOCR" --include="*.cs" .

# Find all OpenCvSharp imports (added as PaddleOCR dependency)
grep -rn "using OpenCvSharp" --include="*.cs" .

# Find all Mat usage patterns
grep -rn "Cv2\.ImRead\|new Mat\|Mat mat" --include="*.cs" .

# Find all async model download calls
grep -rn "DownloadAsync\|OnlineFullModels\|LocalDetectionModel" --include="*.cs" .

# Find all GPU device configuration
grep -rn "PaddleDevice\|EnableUseGpu\|cuda" --include="*.cs" .

# Find all result region access patterns
grep -rn "result\.Regions\|region\.Score\|region\.Rect" --include="*.cs" .

# Locate model directory references in configuration files
grep -rn "PP-OCRv4\|cls_infer\|det_infer\|rec_infer" --include="*.cs" --include="*.json" --include="*.yaml" .

# Find all PaddleOCR namespace imports
grep -rn "using Sdcb.PaddleOCR" --include="*.cs" .

# Find all OpenCvSharp imports (added as PaddleOCR dependency)
grep -rn "using OpenCvSharp" --include="*.cs" .

# Find all Mat usage patterns
grep -rn "Cv2\.ImRead\|new Mat\|Mat mat" --include="*.cs" .

# Find all async model download calls
grep -rn "DownloadAsync\|OnlineFullModels\|LocalDetectionModel" --include="*.cs" .

# Find all GPU device configuration
grep -rn "PaddleDevice\|EnableUseGpu\|cuda" --include="*.cs" .

# Find all result region access patterns
grep -rn "result\.Regions\|region\.Score\|region\.Rect" --include="*.cs" .

# Locate model directory references in configuration files
grep -rn "PP-OCRv4\|cls_infer\|det_infer\|rec_infer" --include="*.cs" --include="*.json" --include="*.yaml" .