GroupDocs.Parser.NETFramework 24.9.0

Advanced Document Parsing API for .NET

Important Note: Starting from 24.2.0, the GroupDocs.Parser package has been split into two distinct platform packages: .NET Standard and .NET Framework. The GroupDocs.Parser package is specifically designed to support the .NET Standard platform, making it compatible with .NET Core, .NET 5, .NET 6, etc. It includes backward compatibility improvements, allowing it to function with .NET Framework versions starting from 4.6.2. In addition, we have introduced the GroupDocs.Parser.NETFramework package, which is optimized to run seamlessly in the .NET Framework runtime because it includes all the GroupDocs product libraries in their respective .NET Framework versions. It is tailored specifically for .NET Framework users and offers better dependency resolution for those utilizing the .NET Framework. We hope these changes will enhance your experience and provide a more streamlined approach to using the GroupDocs.Parser package. If you have any further questions or concerns, please don't hesitate to reach out to our free support forum.

GroupDocs.Parser vs GroupDocs.Parser.NETFramework

The list of features for both versions, GroupDocs.Parser (for .NET Standard) and GroupDocs.Parser.NETFramework (for .NET Framework), is generally the same in terms of core functionality. Both versions offer advanced capabilities such as text extraction, metadata extraction, image extraction, and parsing of complex document structures across a wide range of document formats like PDFs, Word, Excel, and more.

However, the key differences lie in their compatibility and performance optimizations:

• GroupDocs.Parser: This version is tailored for .NET Standard and is compatible with .NET Core, .NET 5, .NET 6, and later versions. It is designed to be cross-platform, working across Windows, Linux, and macOS environments.
• GroupDocs.Parser.NETFramework: This version is optimized specifically for the .NET Framework environment. It includes all the necessary libraries specifically built for .NET Framework, ensuring better dependency management and performance within this environment. This version is ideal for developers working with legacy .NET Framework projects.

GroupDocs.Parser.NETFramework is a powerful and specialized .NET API designed for developers working exclusively within the .NET Framework environment. This package offers advanced text, metadata, and image extraction capabilities across a wide range of document formats including PDF, Word, Excel, PowerPoint, and more. Optimized for seamless integration into .NET Framework projects, GroupDocs.Parser.NETFramework provides robust parsing features such as template-based data extraction, OCR support, and the ability to handle complex document structures. It includes all necessary libraries for the .NET Framework, ensuring smooth operation without the need for additional configurations. Ideal for developers seeking high performance and precision in document parsing within legacy .NET Framework applications.

Text Extraction

• Extract text from various document formats (PDF, Microsoft Word, Excel, etc.).
• Extract text with its formatting retained, including font styles, sizes, and colors.
• Search for specific text within a document and extract it.
• Optical Character Recognition (OCR) support to extract text from images within documents.

Metadata Extraction

• Extract metadata from documents, including properties like author, title, subject, etc.
• Extract document properties such as creation date, modification date, and more.
• Extract field-specific data such as invoice numbers, dates, and other custom fields.

Image and Attachment Extraction

• Extract images embedded within documents.
• Extract file attachments from documents such as PDF and email files.
• Extract and recognize barcodes from documents.

Document Structure Analysis

• Analyze and extract information from structured documents like tables, lists, and paragraphs.
• Extract tables and their content from documents.
• Extract hyperlinks from documents.
• Extract bookmarks from documents like PDF files.

PDF-Specific Parsing

• Specialized parsing capabilities for PDF documents, including text extraction, image extraction, and metadata retrieval.
• Extract page count and other PDF-specific properties.
• Extract and manage PDF bookmarks.

Email Parsing

• Extract text, attachments, and metadata from email formats like EML, MSG, etc.
• Extract email-specific properties such as sender, receiver, subject, and email body.

Spreadsheet Parsing

• Extract text, metadata, and other data from Excel spreadsheets.
• Extract specific ranges, cells, or entire sheets from Excel documents.

Presentation Parsing

• Extract text, images, and metadata from PowerPoint presentations.
• Extract slide-specific content, including notes, shapes, and text.

Template-Based Data Extraction

• Define and use templates to extract data based on specific document structures.
• Template editor for creating and editing templates for structured data extraction.
• Custom parsing logic to implement specific content extraction rules based on custom templates.

Advanced Features

• Support for multiple file formats such as PDF, DOCX, XLSX, PPTX, RTF, TXT, and more.
• Cross-Platform Compatibility: Works across Windows, Linux, and macOS.
• Integration with .NET applications for seamless functionality.
• High performance optimized for handling large documents efficiently.
• Secure parsing that does not compromise the document's security and integrity.
• Scalability to handle large volumes of documents in batch processing.

Additional Features

• Retrieve the number of pages in a document.
• Extract data from forms and other interactive elements within documents.
• Support for content-aware parsing to detect and extract specific types of data.

Supported Document Formats

Word Processing

PDF

Markup

Ebook

Spreadsheet

Presentation

Email

Note

Archive

Note: Encrypted 7-zip archives are not supported.

Image*

Database

Platform Independence

GroupDocs.Parser for .NET does not require any external software or third-party tool to be installed. GroupDocs.Parser for .NET supports any 32-bit or 64-bit operating system where .NET or Mono framework is installed. The other details are as follows:

Microsoft Windows: Microsoft Windows Desktop (x86, x64) (XP & up), Microsoft Windows Server (x86, x64) (2000 & up), Windows Azure
Mac OS: Mac OS X
Linux: Linux (Ubuntu, OpenSUSE, CentOS and others)
Development Environments: Microsoft Visual Studio (2010 & up), Xamarin.Android, Xamarin.IOS, Xamarin.Mac, MonoDevelop 2.4 and later.
Supported Frameworks: GroupDocs.Conversion for .NET supports .NET and Mono frameworks.

Get Started

Are you ready to give GroupDocs.Parser for .NET a try? Simply execute Install-Package GroupDocs.Parser from Package Manager Console in Visual Studio to fetch & reference GroupDocs.Parser assembly in your project. If you already have GroupDocs.Parser for .Net and want to upgrade it, please execute Update-Package GroupDocs.Parser to get the latest version.

Please check the GitHub Repository for other common usage scenarios.

How to Install GroupDocs.Parser for .NET

1. Install from NuGet

Option 1: Using Package Manager GUI

1. Open Visual Studio:

   • Load your solution/project.

2. Access NuGet Package Manager:

   • Go to Tools -> NuGet Package Manager -> Manage NuGet Packages for Solution.
   • Alternatively, right-click the solution or project in Solution Explorer and select Manage NuGet Packages.

3. Search for GroupDocs.Parser:

   • Navigate to the Browse tab.
   • Type “GroupDocs.Parser” in the search box.

4. Install the Package:

   • Click the Install button to add the latest version of GroupDocs.Parser to your project.

Option 2: Using Package Manager Console

1. Open Visual Studio:

   • Load your solution/project.

2. Open Package Manager Console:

   • Go to Tools -> NuGet Package Manager -> Package Manager Console.

3. Install GroupDocs.Parser:

   • Type the command Install-Package GroupDocs.Parser and press Enter.

4. Verify Installation:

   • GroupDocs.Parser should now be referenced in your application.

2. Handling .NET Framework and .NET Standard

• Starting with version 24.2, GroupDocs.Parser is split into two packages: one for .NET Framework and one for .NET Standard.
• For .NET Framework projects:
  • Ensure AutoGenerateBindingRedirects is enabled.
  • Add the following to your project file for unit tests:

<PropertyGroup>
    <AutoGenerateBindingRedirects>true</AutoGenerateBindingRedirects>
    <GenerateBindingRedirectsOutputType>true</GenerateBindingRedirectsOutputType>
</PropertyGroup>

3. Install from the Official GroupDocs Website

1. Download GroupDocs.Parser:

   • Visit the official GroupDocs website and download the package.

2. Unpack or Install:

   • Unzip the archive or run the MSI installer.

3. Add a Reference in Visual Studio:

   • In Solution Explorer, right-click the References node of your project and select Add Reference.
   • If you used the MSI installer, select GroupDocs.Parser from the .NET tab. Otherwise, browse to the location of the GroupDocs.Parser.dll file.

4. Confirm Reference:

   • Ensure GroupDocs.Parser appears under the References node in your project.

4. Additional Considerations

• .NET Standard 2.0 Version:

  • This version has external references to several packages like System.Drawing.Common, System.Text.Encoding.CodePages, SkiaSharp, etc.

• Linux Environment:

  • Install the following packages for proper functionality:
    • libgdiplus
    • libc6-dev
    • ttf-mscorefonts-installer (e.g., sudo apt-get install ttf-mscorefonts-installer)
  • Also, ensure SkiaSharp.NativeAssets.Linux.NoDependencies is installed.

GroupDocs.Parser for .NET Coding Samples

Code Sample 1: Extracting Text from a PDF Document

This code loads a PDF file (sample.pdf) and extracts its text content using the GetText() method. The extracted text is then displayed in the console.

using GroupDocs.Parser;
using GroupDocs.Parser.Options;

public class ExtractTextFromPdf
{
    public static void Run()
    {
        // Load the PDF document
        using (Parser parser = new Parser("sample.pdf"))
        {
            // Extract text from the document
            string text = parser.GetText();
            
            // Output the extracted text
            Console.WriteLine(text);
        }
    }
}

Code Sample 2: Extracting Images from a Word Document

This code loads a Word document (sample.docx) and extracts all images found within the document. Each image is saved as a separate PNG file.

using GroupDocs.Parser;
using GroupDocs.Parser.Data;

public class ExtractImagesFromWord
{
    public static void Run()
    {
        // Load the Word document
        using (Parser parser = new Parser("sample.docx"))
        {
            // Get images from the document
            IEnumerable<PageImageArea> images = parser.GetImages();
            
            // Save each image to a file
            int imageNumber = 1;
            foreach (PageImageArea image in images)
            {
                image.Save($"image{imageNumber++}.png");
            }
        }
    }
}

Code Sample 3: Parsing Metadata from an Excel Spreadsheet

This code loads an Excel spreadsheet (sample.xlsx) and extracts its metadata, such as author, title, and creation date. The metadata is then displayed in the console.

using GroupDocs.Parser;
using GroupDocs.Parser.Data;

public class ExtractMetadataFromExcel
{
    public static void Run()
    {
        // Load the Excel spreadsheet
        using (Parser parser = new Parser("sample.xlsx"))
        {
            // Get document's metadata
            IEnumerable<MetadataItem> metadata = parser.GetMetadata();
            
            // Output the metadata
            foreach (var item in metadata)
            {
                Console.WriteLine($"{item.Name}: {item.Value}");
            }
        }
    }
}

Tags

.NET Framework | Document Parsing | Metadata Extraction | Text Extraction | Image Extraction | PDF Parsing | Word Parsing | Excel Parsing | Email Parsing | Data Extraction | Structured Data Parsing | Barcode Extraction | Document Management | API Integration | Legacy Systems | Performance Optimization | Document Processing | Visual Studio | Windows | C# | Programming