diff --git a/Document-Processing-toc.html b/Document-Processing-toc.html index 7c65592bb3..3f7c9e7bfb 100644 --- a/Document-Processing-toc.html +++ b/Document-Processing-toc.html @@ -3414,103 +3414,98 @@ HTML to PDF @@ -5556,6 +5551,7 @@
  • Formulas
  • Formatting
  • Context Menu
    • +
  • Illustrations
  • Rows and Columns
  • Filtering
  • Sorting
    • diff --git a/Document-Processing/Data-Extraction/NET/Extract-Data-in-ASP-NET-Core.md b/Document-Processing/Data-Extraction/NET/Extract-Data-in-ASP-NET-Core.md index f73bc79aa8..bd23b302ed 100644 --- a/Document-Processing/Data-Extraction/NET/Extract-Data-in-ASP-NET-Core.md +++ b/Document-Processing/Data-Extraction/NET/Extract-Data-in-ASP-NET-Core.md @@ -13,7 +13,7 @@ The Syncfusion® Smart Data Extractor is a .NET library used to ex To quickly get started with extracting structured data from PDF and image files in ASP.NET Core using the Smart Data Extractor library, refer to this video tutorial: {% youtube "https://www.youtube.com/watch?v=fxijc3BgDTY" %} -To include the Smart Data Extractor library in your ASP.NET Core application, please refer to the [NuGet Packages Required](https://help.syncfusion.com/document-processing/data-extraction/smart-data-extractor/net/nuget-packages-required) or [Assemblies Required](https://help.syncfusion.com/document-processing/data-extraction/smart-data-extractor/net/assemblies-required) documentation. +To include the Smart Data Extractor library in your ASP.NET Core application, please refer to the [NuGet Packages Required](https://help.syncfusion.com/document-processing/data-extraction/net/nuget-packages-required#smart-data-extractor) or [Assemblies Required](https://help.syncfusion.com/document-processing/data-extraction/net/assemblies-required#smart-data-extractor) documentation. ## Steps to Extract Data from PDF in ASP.NET Core application @@ -101,7 +101,7 @@ Click the Start button (green arrow) or press F5 to run the applicati **Prerequisites**: * Install .NET SDK: Ensure that you have the .NET SDK installed on your system. You can download it from the [.NET Downloads page](https://dotnet.microsoft.com/en-us/download). -* Install Visual Studio Code: Download and install Visual Studio Code from the [official website](https://code.visualstudio.com/download). +* Install Visual Studio Code: Download and install Visual Studio Code from the [official website](https://code.visualstudio.com/download?_exp_download=fb315fc982). * Install C# Extension for VS Code: Open Visual Studio Code, go to the Extensions view (Ctrl+Shift+X), and search for 'C#'. Install the official [C# extension provided by Microsoft](https://marketplace.visualstudio.com/items?itemName=ms-dotnettools.csharp). Step 1: Open the terminal (Ctrl+` ) and run the following command to create a C# ASP.NET Core Web Application project. diff --git a/Document-Processing/Data-Extraction/NET/conversions/pdf-to-json.md b/Document-Processing/Data-Extraction/NET/conversions/pdf-to-json.md index 6129b51642..0af99d01d6 100644 --- a/Document-Processing/Data-Extraction/NET/conversions/pdf-to-json.md +++ b/Document-Processing/Data-Extraction/NET/conversions/pdf-to-json.md @@ -124,4 +124,4 @@ using (FileStream stream = new FileStream("Input.pdf", FileMode.Open, FileAccess ## JSON Output Structure and Attributes -The JSON output from the extraction contains structured attributes. For more details on the extracted JSON structure and attributes, refer to the [JSON Attributes](https://help.syncfusion.com/document-processing/data-extraction/smart-data-extractor/net/overview#json-output-structure-and-attributes) documentation. \ No newline at end of file +The JSON output from the extraction contains structured attributes. For more details on the extracted JSON structure and attributes, refer to the [JSON Attributes](https://help.syncfusion.com/document-processing/data-extraction/net/overview#json-output-structure-and-attributes) documentation. \ No newline at end of file diff --git a/Document-Processing/Data-Extraction/NET/ocr-processor/Console.md b/Document-Processing/Data-Extraction/NET/ocr-processor/Console.md index 3b0aefd6f7..f88b281037 100644 --- a/Document-Processing/Data-Extraction/NET/ocr-processor/Console.md +++ b/Document-Processing/Data-Extraction/NET/ocr-processor/Console.md @@ -19,7 +19,7 @@ The [Syncfusion® .NET OCR library](https://www.syncfusion.com/doc **Prerequisites**: * Install .NET SDK: Ensure that you have the .NET SDK installed on your system. You can download it from the [.NET Downloads page](https://dotnet.microsoft.com/en-us/download). -* Install Visual Studio: Download and install Visual Studio Code from the [official website](https://code.visualstudio.com/download). +* Install Visual Studio: Download and install Visual Studio Code from the [official website](https://code.visualstudio.com/download?_exp_download=d53503e735). Step 1: Create a new .NET Core console application project. ![Create Console application](OCR-Images/Console-1.png) @@ -82,8 +82,8 @@ Click the **Run** button (green arrow) in the toolbar or press F5 to **Prerequisites**: -* Install .NET SDK: Ensure that you have the .NET SDK installed on your system. You can download it from the [.NET Downloads page](https://dotnet.microsoft.com/en-us/download). -* Install Visual Studio Code: Download and install Visual Studio Code from the [official website](https://code.visualstudio.com/download). +* Install .NET SDK: Ensure that you have the .NET SDK installed on your system. You can download it from the [.NET Downloads page](https://code.visualstudio.com/download?_exp_download=d53503e735). +* Install Visual Studio Code: Download and install Visual Studio Code from the [official website](https://code.visualstudio.com/download?_exp_download=d53503e735). * Install C# Extension for VS Code: Open Visual Studio Code, go to the Extensions view (Ctrl+Shift+X), and search for 'C#'. Install the official [C# extension provided by Microsoft](https://marketplace.visualstudio.com/items?itemName=ms-dotnettools.csharp). Step 1: Open the terminal (Ctrl+` ) and run the following command to create a new Console Application project. diff --git a/Document-Processing/Data-Extraction/NET/ocr-processor/Features.md b/Document-Processing/Data-Extraction/NET/ocr-processor/Features.md index 8f72decc53..576e9bf254 100644 --- a/Document-Processing/Data-Extraction/NET/ocr-processor/Features.md +++ b/Document-Processing/Data-Extraction/NET/ocr-processor/Features.md @@ -659,7 +659,7 @@ End Using ## Performing OCR on rotated page of PDF document -You can get the OCRed text from the rotated page of PDF document using the [PageSegment](https://help.syncfusion.com/cr/document-processing/Syncfusion.OCRProcessor.OCRSettings.html#Syncfusion_OCRProcessor_OCRSettings_PageSegment) property by specifying ``AutoOsd`` through [PageSegmentMode](https://help.syncfusion.com/cr/document-processing/Syncfusion.OCRProcessor.PageSegmentMode.html) Enum. For more details, refer to the following code sample. +You can get the OCRed text from the rotated page of PDF document using the [PageSegment](https://help.syncfusion.com/cr/document-processing/Syncfusion.OCRProcessor.OCRSettings.html#Syncfusion_OCRProcessor_OCRSettings_PageSegment) property by specifying ``AutoOsd`` through [PageSegmentMode](https://help.syncfusion.com/cr/document-processing/Syncfusion.OCRProcessor.PageSegMode.html) Enum. For more details, refer to the following code sample. {% tabs %} @@ -1930,6 +1930,34 @@ using (OCRProcessor processor = new OCRProcessor()) } {% endhighlight %} +{% highlight c# tabtitle="C# [Windows-specific]" %} + +using Syncfusion.OCRProcessor; +using Syncfusion.Pdf.Parsing; + +//Initialize the OCR processor. +using (OCRProcessor processor = new OCRProcessor()) +{ + //Get stream from an image file. + FileStream imageStream = new FileStream(@"Input.jpg", FileMode.Open); + //Set OCR language to process. + processor.Settings.Language = Languages.English; + //Sets Unicode font to preserve the Unicode characters in a PDF document. + FileStream fontStream = new FileStream(@"ARIALUNI.ttf", FileMode.Open); + //Set the unicode font. + processor.UnicodeFont = new PdfTrueTypeFont(fontStream, true, PdfFontStyle.Regular, 10); + //Set the PDF conformance level. + processor.Settings.Conformance = PdfConformanceLevel.Pdf_A1B; + //Process OCR by providing the bitmap image. + PdfDocument document = processor.PerformOCR(imageStream); + + //Save the PDF document to file stream. + document.Save("Output.pdf"); + //Close the document. + document.Close(true); +} +{% endhighlight %} + {% highlight vb.net tabtitle="VB.NET [Windows-specific]" %} Imports Syncfusion.OCRProcessor @@ -1996,10 +2024,16 @@ using (OCRProcessor processor = new OCRProcessor()) {% endhighlight %} -{% highlight vb.net tabtitle="VB.NET [Windows-specific]" %} +{% highlight c# tabtitle="C# [Windows-specific]" %} //By default unicode characters can be extracted from image file in .NET Framework applications like WF, WPF, ASP.NET and ASP.NET MVC. +{% endhighlight %} + +{% highlight vb.net tabtitle="VB.NET [Windows-specific]" %} + +'By default unicode characters can be extracted from image file in .NET Framework applications like WF, WPF, ASP.NET and ASP.NET MVC. + {% endhighlight %} {% endtabs %} @@ -2373,25 +2407,18 @@ using (OCRProcessor ocrProcessor = new OCRProcessor()) new FileStream("arialuni.ttf", FileMode.Open), // Path to the TrueType font file 12 // Font size ); - // Load the PDF document PdfLoadedDocument loadedDocument = new PdfLoadedDocument("Input.pdf"); - // Configure OCR settings OCRSettings ocrSettings = new OCRSettings(); - // Specify the languages to be used for OCR ocrSettings.Language = "eng+deu+ara+ell+fra"; // English, German, Arabic, Greek, French - // Apply the OCR settings to the OCR processor ocrProcessor.Settings = ocrSettings; - // Perform OCR on the loaded PDF document, providing the path to the tessdata directory ocrProcessor.PerformOCR(loadedDocument, "tessdata"); - // Save the OCR-processed document loadedDocument.Save("Output.pdf"); - // Close the loaded document loadedDocument.Close(true); } @@ -2408,22 +2435,16 @@ using (OCRProcessor ocrProcessor = new OCRProcessor()) { // Load the PDF document PdfLoadedDocument loadedDocument = new PdfLoadedDocument("Input.pdf"); - // Configure OCR settings OCRSettings ocrSettings = new OCRSettings(); - // Specify the languages to be used for OCR ocrSettings.Language = "eng+deu+ara+ell+fra"; // English, German, Arabic, Greek, French - // Apply the OCR settings to the OCR processor ocrProcessor.Settings = ocrSettings; - // Perform OCR on the loaded PDF document, providing the path to the tessdata directory ocrProcessor.PerformOCR(loadedDocument, "tessdata"); - // Save the OCR-processed document loadedDocument.Save("Output.pdf"); - // Close the loaded document loadedDocument.Close(true); } @@ -2444,22 +2465,16 @@ Using ocrProcessor As New OCRProcessor() ) ' Load the PDF document from the file stream Dim loadedDocument As New PdfLoadedDocument("Input.pdf") - ' Configure OCR settings Dim ocrSettings As New OCRSettings() - ' Specify the languages to be used for OCR ocrSettings.Language = "eng+deu+ara+ell+fra" ' English, German, Arabic, Greek, French - ' Apply the OCR settings to the OCR processor ocrProcessor.Settings = ocrSettings - ' Perform OCR on the loaded PDF document, providing the path to the tessdata directory ocrProcessor.PerformOCR(loadedDocument, "tessdata") - ' Save the OCR-processed document loadedDocument.Save("Output.pdf") - ' Close the loaded document and commit changes loadedDocument.Close(True) @@ -2489,24 +2504,18 @@ using (OCRProcessor processor = new OCRProcessor()) { // Load the PDF document from the file stream PdfLoadedDocument pdfLoadedDocument = new PdfLoadedDocument("Input.pdf"); - // Set OCR language to English processor.Settings.Language = Languages.English; - // Set the page segmentation mode to process sparse text with orientation and script detection processor.Settings.PageSegment = PageSegMode.SparseTextOsd; - // Perform OCR on the loaded PDF document to extract text processor.PerformOCR(pdfLoadedDocument, processor.TessDataPath, out OCRLayoutResult layoutResult); - // Extract the OCRed text from the first page and join lines with newline characters string ocrText = string.Join("\n", layoutResult.Pages[0].Lines.Select(line => line.Text)); - // Save the PDF document to the file stream pdfLoadedDocument.Save("Output.pdf"); // Close the PDF document pdfLoadedDocument.Close(true); - // Write the extracted OCR text to an output text file File.WriteAllText("Output.txt", ocrText); } @@ -2523,24 +2532,18 @@ using (OCRProcessor processor = new OCRProcessor()) { // Load the PDF document from the file stream PdfLoadedDocument pdfLoadedDocument = new PdfLoadedDocument("Input.pdf"); - // Set OCR language to English processor.Settings.Language = Languages.English; - // Set the page segmentation mode to process sparse text with orientation and script detection processor.Settings.PageSegment = PageSegmentMode.SparseTextOsd; - // Perform OCR on the loaded PDF document to extract text processor.PerformOCR(pdfLoadedDocument, processor.TessDataPath, out OCRLayoutResult layoutResult); - // Extract the OCRed text from the first page and join lines with newline characters string ocrText = string.Join("\n", layoutResult.Pages[0].Lines.Select(line => line.Text)); - // Save the PDF document to the file stream pdfLoadedDocument.Save("Output.pdf"); // Close the PDF document pdfLoadedDocument.Close(true); - // Write the extracted OCR text to an output text file File.WriteAllText("Output.txt", ocrText); } @@ -2556,23 +2559,17 @@ Imports Syncfusion.Pdf.Parsing Using processor As New OCRProcessor() ' Load the PDF document from the file stream Dim pdfLoadedDocument As New PdfLoadedDocument("Input.pdf") - ' Set OCR language to English processor.Settings.Language = Languages.English - ' Set the page segmentation mode to process sparse text with orientation and script detection processor.Settings.PageSegment = PageSegMode.SparseTextOsd - ' Perform OCR on the loaded PDF document to extract text Dim layoutResult As OCRLayoutResult processor.PerformOCR(pdfLoadedDocument, processor.TessDataPath, layoutResult) - ' Extract the OCRed text from the first page and join lines with newline characters Dim ocrText As String = String.Join(Environment.NewLine, layoutResult.Pages(0).Lines.Select(Function(line) line.Text)) - ' Save the PDF document to the file stream pdfLoadedDocument.Save("Output.pdf") - ' Close the PDF document pdfLoadedDocument.Close(True) @@ -2610,7 +2607,6 @@ using (OCRProcessor processor = new OCRProcessor()) processor.TessDataPath = "TessdataBest/"; processor.Settings.Language = Languages.English; processor.Settings.TesseractVersion = TesseractVersion.Version5_0; - // Determine how many frames/pages the TIFF contains. int frameCount = img.GetFrameCount(FrameDimension.Page); if (frameCount <= 1) @@ -2626,7 +2622,6 @@ using (OCRProcessor processor = new OCRProcessor()) // Prefer Page dimension try { img.SelectActiveFrame(FrameDimension.Page, i); } catch { /* fallback if needed */ } - // Clone the selected frame to a standalone Bitmap for OCR (important for some engines) using (Bitmap frameBmp = new Bitmap(img.Width, img.Height)) using (Graphics g = Graphics.FromImage(frameBmp)) @@ -2666,7 +2661,6 @@ using (OCRProcessor processor = new OCRProcessor()) processor.TessDataPath = "TessdataBest/"; processor.Settings.Language = Languages.English; processor.Settings.TesseractVersion = TesseractVersion.Version5_0; - // Determine how many frames/pages the TIFF contains. int frameCount = img.GetFrameCount(FrameDimension.Page); if (frameCount <= 1) @@ -2676,13 +2670,11 @@ using (OCRProcessor processor = new OCRProcessor()) frameCount = Math.Max(frameCount, img.GetFrameCount(FrameDimension.Resolution)); } if (frameCount < 1) frameCount = 1; - for (int i = 0; i < frameCount; i++) { // Prefer Page dimension try { img.SelectActiveFrame(FrameDimension.Page, i); } catch { /* fallback if needed */ } - // Clone the selected frame to a standalone Bitmap for OCR (important for some engines) using (Bitmap frameBmp = new Bitmap(img.Width, img.Height)) using (Graphics g = Graphics.FromImage(frameBmp)) @@ -2728,7 +2720,6 @@ Using processor As New OCRProcessor() frameCount = Math.Max(frameCount, img.GetFrameCount(FrameDimension.Resolution)) End If If frameCount < 1 Then frameCount = 1 - For i As Integer = 0 To frameCount - 1 ' Prefer Page dimension Try @@ -2742,7 +2733,6 @@ Using processor As New OCRProcessor() Using g As Graphics = Graphics.FromImage(frameBmp) g.DrawImage(img, 0, 0, img.Width, img.Height) End Using - Dim pageText As String = processor.PerformOCR(frameBmp, processor.TessDataPath) output.AppendLine($"--- Page {i + 1} ---") output.AppendLine(If(pageText, String.Empty)) @@ -2750,7 +2740,6 @@ Using processor As New OCRProcessor() End Using Next End Using - File.WriteAllText("Output.txt", output.ToString()) {% endhighlight %} diff --git a/Document-Processing/Data-Extraction/NET/ocr-processor/Getting-started-overview.md b/Document-Processing/Data-Extraction/NET/ocr-processor/Getting-started-overview.md index d023765b34..06a9dc1129 100644 --- a/Document-Processing/Data-Extraction/NET/ocr-processor/Getting-started-overview.md +++ b/Document-Processing/Data-Extraction/NET/ocr-processor/Getting-started-overview.md @@ -15,19 +15,24 @@ To quickly get started with extracting text from scanned PDF documents in .NET u The Syncfusion® OCR processor internally uses Tesseract libraries to perform OCR, so please copy the necessary Tessdata and TesseractBinaries folders from the NuGet package folder to the project folder to use the OCR feature. ### Prerequisites for Windows + Please refer to the following code sample for windows. +{% tabs %} {% highlight c# tabtitle="C#" %} OCRProcessor processor = new OCRProcessor(); {% endhighlight %} +{% endtabs %} +{% tabs %} {% highlight c# tabtitle="C#" %} processor.PerformOCR(lDoc); {% endhighlight %} +{% endtabs %} Download the language packages from the following link. [https://github.com/tesseract-ocr/tessdata](https://github.com/tesseract-ocr/tessdata) @@ -39,27 +44,33 @@ N> From 16.1.0.24 OCR is not a part of Essential Studio® and is a Install the "libgdiplus" and "libc6-dev" packages. Please refer to the following commands to install the packages. -{% highlight c# tabtitle="C#" %} +{% tabs %} +{% highlight bash %} sudo apt-get update sudo apt-get install libgdiplus sudo apt-get install libc6-dev {% endhighlight %} +{% endtabs %} Please refer to the following code snippet for Linux. +{% tabs %} {% highlight c# tabtitle="C#" %} OCRProcessor processor = new OCRProcessor(); {% endhighlight %} +{% endtabs %} +{% tabs %} {% highlight c# tabtitle="C#" %} processor.PerformOCR(lDoc); {% endhighlight %} +{% endtabs %} Download the language packages from the following link. [https://github.com/tesseract-ocr/tessdata](https://github.com/tesseract-ocr/tessdata) @@ -68,25 +79,31 @@ Download the language packages from the following link. Install the "libgdiplus" and "tesseract" packages in the Mac machine where the OCR operations occur. Please refer to the following commands to install this package. -{% highlight c# tabtitle="C#" %} +{% tabs %} +{% highlight bash %} brew install mono-libgdiplus brew install tesseract {% endhighlight %} +{% endtabs %} Please refer to the following code sample for Mac. +{% tabs %} {% highlight c# tabtitle="C#" %} OCRProcessor processor = new OCRProcessor(); {% endhighlight %} +{% endtabs %} +{% tabs %} {% highlight c# tabtitle="C#" %} processor.PerformOCR(lDoc); {% endhighlight %} +{% endtabs %} ### Perform OCR using C# @@ -109,15 +126,18 @@ Step 3:Please use the OCR language data for other languages using the following Step 4: Include the following namespace in your class file. +{% tabs %} {% highlight c# tabtitle="C#" %} using Syncfusion.OCRProcessor; using Syncfusion.Pdf.Parsing; {% endhighlight %} +{% endtabs %} Step 5: Use the following code sample to perform OCR on the entire PDF document using PerformOCR method of the [OCRProcessor](https://help.syncfusion.com/cr/document-processing/Syncfusion.OCRProcessor.OCRProcessor.html) class in Program.cs file. +{% tabs %} {% highlight c# tabtitle="C#" %} //Initialize the OCR processor. @@ -136,6 +156,7 @@ using (OCRProcessor processor = new OCRProcessor()) } {% endhighlight %} +{% endtabs %} By executing the program, you will get the PDF document as follows. Output screenshot diff --git a/Document-Processing/Data-Extraction/NET/ocr-processor/MAC.md b/Document-Processing/Data-Extraction/NET/ocr-processor/MAC.md index 8d64405223..f4fcef732c 100644 --- a/Document-Processing/Data-Extraction/NET/ocr-processor/MAC.md +++ b/Document-Processing/Data-Extraction/NET/ocr-processor/MAC.md @@ -20,7 +20,7 @@ The [Syncfusion® .NET OCR library](https://www.syncfusion.com/doc **Prerequisites**: * Install .NET SDK: Ensure that you have the .NET SDK installed on your system. You can download it from the [.NET Downloads page](https://dotnet.microsoft.com/en-us/download). -* Install Visual Studio: Download and install Visual Studio Code from the [official website](https://code.visualstudio.com/download). +* Install Visual Studio: Download and install Visual Studio Code from the [official website](https://code.visualstudio.com/download?_exp_download=d53503e735). Step 1: Create a new .NET Core console application project. ![Mac OS console application](OCR-Images/Mac_OS_Console.png) @@ -90,7 +90,7 @@ Click the Start button (green arrow) or press F5 to run the app. **Prerequisites**: * Install .NET SDK: Ensure that you have the .NET SDK installed on your system. You can download it from the [.NET Downloads page](https://dotnet.microsoft.com/en-us/download). -* Install Visual Studio Code: Download and install Visual Studio Code from the [official website](https://code.visualstudio.com/download). +* Install Visual Studio Code: Download and install Visual Studio Code from the [official website](https://code.visualstudio.com/download?_exp_download=d53503e735). * Install C# Extension for VS Code: Open Visual Studio Code, go to the Extensions view (Ctrl+Shift+X), and search for 'C#'. Install the official [C# extension provided by Microsoft](https://marketplace.visualstudio.com/items?itemName=ms-dotnettools.csharp). Step 1: Open the terminal (Ctrl+` ) and run the following command to create a new .NET Core console application project. @@ -98,7 +98,7 @@ Step 1: Open the terminal (Ctrl+` ) and run the following command to create a ne ``` dotnet new console -n CreatePdfMacOSApp ``` -Step 2: Replace ****CreatePdfMacOSApp** with your desired project name. +Step 2: Replace **CreatePdfMacOSApp** with your desired project name. Step 3: Navigate to the project directory using the following command diff --git a/Document-Processing/Data-Extraction/NET/ocr-processor/Troubleshooting.md b/Document-Processing/Data-Extraction/NET/ocr-processor/Troubleshooting.md index 8d61ccc87c..fbc7993145 100644 --- a/Document-Processing/Data-Extraction/NET/ocr-processor/Troubleshooting.md +++ b/Document-Processing/Data-Extraction/NET/ocr-processor/Troubleshooting.md @@ -26,7 +26,7 @@ keywords: Assemblies Set proper tesseract binaries and tessdata folder with all files and inner folders. The tessdata folder name is case-sensitive and should not change.

    {% tabs %} -{% highlight C# tabtitle="C# [Cross-platform]" %} +{% highlight C# %} //TesseractBinaries - path of the folder tesseract binaries. OCRProcessor processor = new OCRProcessor(@"TesseractBinaries/"); @@ -209,7 +209,7 @@ By using the best tessdata, we can improve the OCR results. For more information 1.Execute the following command to install Tesseract 5.
    {% tabs %} -{% highlight C# %} +{% highlight bash %} brew install tesseract @@ -219,7 +219,7 @@ brew install tesseract If the "brew" is not installed on your machine, you can install it using the following command.
    {% tabs %} -{% highlight C# %} +{% highlight bash %} /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" @@ -241,7 +241,7 @@ using (OCRProcessor processor = new OCRProcessor("/opt/homebrew/Cellar/tesseract 3.Add the TessDataPath from bin folder. Refer to the example code below:
    {% tabs %} -{% highlight C# tabtitle="C# [Cross-platform]" %} +{% highlight C# %} using (OCRProcessor processor = new OCRProcessor("/opt/homebrew/Cellar/tesseract/5.3.2/lib")) { @@ -287,7 +287,7 @@ using (OCRProcessor processor = new OCRProcessor("/opt/homebrew/Cellar/tesseract 1. Install the leptonica.
    {% tabs %} -{% highlight C# %} +{% highlight bash %} sudo apt-get install libleptonica-dev @@ -299,7 +299,7 @@ sudo apt-get install libleptonica-dev 2.Install the tesseract.
    {% tabs %} -{% highlight C# %} +{% highlight bash %} sudo apt-get install tesseract-ocr-eng @@ -311,7 +311,7 @@ sudo apt-get install tesseract-ocr-eng 3. Copy the binaries (liblept.so and libtesseract.so) to the missing files exception folder in the project location.
    {% tabs %} -{% highlight C# %} +{% highlight bash %} cp /usr/lib/x86_64-linux-gnu/liblept.so /home/syncfusion/linuxdockersample/linuxdockersample/bin/Debug/net7.0/liblept1753.so @@ -319,7 +319,7 @@ cp /usr/lib/x86_64-linux-gnu/liblept.so /home/syncfusion/linuxdockersample/linux {% endtabs %}
    {% tabs %} -{% highlight C# %} +{% highlight bash %} cp /usr/lib/x86_64-linux-gnu/libtesseract.so.4 /home/syncfusion/linuxdockersample/linuxdockersample/bin/Debug/net7.0/libSyncfusionTesseract.so @@ -349,7 +349,7 @@ To resolve this problem, you should install all required dependencies in your Li Step 1: Execute the following command in terminal window to check dependencies are installed properly. {% tabs %} -{% highlight C# %} +{% highlight bash %} ldd liblept1753.so ldd libSyncfusionTesseract.so @@ -359,7 +359,7 @@ ldd libSyncfusionTesseract.so Run the following commands in terminal
    Step 1: {% tabs %} -{% highlight C# %} +{% highlight bash %} sudo apt-get install libleptonica-dev libjpeg62 @@ -367,7 +367,7 @@ sudo apt-get install libleptonica-dev libjpeg62 {% endtabs %} Step 2: {% tabs %} -{% highlight C# %} +{% highlight bash %} ln -s /usr/lib/x86_64-linux-gnu/libtiff.so.6 /usr/lib/x86_64-linux-gnu/libtiff.so.5 @@ -375,7 +375,7 @@ ln -s /usr/lib/x86_64-linux-gnu/libtiff.so.6 /usr/lib/x86_64-linux-gnu/libtiff.s {% endtabs %} Step 3: {% tabs %} -{% highlight C# %} +{% highlight bash %} ln -s /lib/x86_64-linux-gnu/libdl.so.2 /usr/lib/x86_64-linux-gnu/libdl.so @@ -403,28 +403,18 @@ ln -s /lib/x86_64-linux-gnu/libdl.so.2 /usr/lib/x86_64-linux-gnu/libdl.so {% tabs %} -{% highlight C# %} +{% highlight bash %} FROM mcr.microsoft.com/dotnet/aspnet:8.0 AS base - RUN apt-get update && \ - apt-get install -yq --no-install-recommends \ - libgdiplus libc6-dev libleptonica-dev libjpeg62 - RUN ln -s /usr/lib/x86_64-linux-gnu/libtiff.so.6 /usr/lib/x86_64-linux-gnu/libtiff.so.5 - RUN ln -s /lib/x86_64-linux-gnu/libdl.so.2 /usr/lib/x86_64-linux-gnu/libdl.so - - USER app - WORKDIR /app - EXPOSE 8080 - EXPOSE 8081 {% endhighlight %} @@ -491,15 +481,15 @@ NuGet: Exception -The application failed to load Tesseract OCR DLLs when hosted on IIS, resulting in the error: -Could not find a part of the path 'C:\inetpub\wwwroot\VizarCore\x64'. +The application failed to load Tesseract OCR Binaries when hosted on IIS, resulting in the error: +Could not find a part of the path 'C:\inetpub\wwwroot\YourApp\x64'. Reason - * IIS couldn't load the required Tesseract and Leptonica DLLs because some system components were missing.
    + * IIS couldn't load the required Tesseract and Leptonica Binaries because some system components were missing.
    * The Visual C++ Redistributables for VS2015-VS2022 (x86 and x64) were not installed.
    * IIS on a 64-bit server needs both redistributables to load native libraries correctly.
    * The application's folder paths and permissions were not properly set up for OCR binaries.
    @@ -569,7 +559,7 @@ Update your deployment YAML to include a writable temporary directory with `empt

    {% tabs %} -{% highlight C# %} +{% highlight yaml %} spec: containers: @@ -594,7 +584,7 @@ To ensure your container has permission to write to mounted volumes, add:

    {% tabs %} -{% highlight C# %} +{% highlight yaml %} securityContext: runAsUser: 1000 # safer than root @@ -612,7 +602,7 @@ If persistent storage is required, configure Azure Files:

    {% tabs %} -{% highlight C# %} +{% highlight yaml %} volumes: - name: azurefile diff --git a/Document-Processing/Data-Extraction/NET/ocr-processor/WPF.md b/Document-Processing/Data-Extraction/NET/ocr-processor/WPF.md index 7b159d2dbc..972c249e63 100644 --- a/Document-Processing/Data-Extraction/NET/ocr-processor/WPF.md +++ b/Document-Processing/Data-Extraction/NET/ocr-processor/WPF.md @@ -28,7 +28,7 @@ N> 2. Starting with v16.2.0.x, if you reference Syncfusion® assem Step 3: Add a new button in **MainWindow.xaml** to perform OCR as follows. {% tabs %} -{% highlight CSHTML %} +{% highlight XAML %}