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The Syncfusion .NET PDF Library allows users to extract various types of data from PDF documents using C#. With this library, users can extract text, images, attachments, and form data efficiently. Whether you need to analyze text content, reuse images, process attachments, or integrate form data into your applications, simplify your PDF data extraction tasks with ease.
Data extraction works seamlessly across platforms, including Windows, macOS, Linux, Android, and iOS, through any .NET-based applications, such as ASP.NET Core, ASP.NET MVC, Blazor, .NET MAUI, Xamarin, WinForms, WPF, and WinUI.
Below is an example code demonstrating how to extract text from an entire PDF document using C#.
using Syncfusion.Pdf;
using Syncfusion.Pdf.Parsing;
using System.IO;
// Open existing PDF document stream.
using (FileStream inputStream = new FileStream("Input.pdf", FileMode.Open, FileAccess.Read))
{
// Load the PDF document.
using (PdfLoadedDocument loadedDocument = new PdfLoadedDocument(inputStream))
{
string extractedText = string.Empty;
// Extract all text from PDF document pages.
foreach (PdfLoadedPage page in loadedDocument.Pages)
{
extractedText += page.ExtractText();
}
// Save extracted text to file.
File.WriteAllText("Result.txt", extractedText);
}
}Explore different methods for extracting data from PDFs.
Extracting text from a PDF document with specified bounds aids in identifying and filtering text within predefined areas.
Extracting images from a PDF document is useful for various purposes, such as analyzing images, reusing graphics in other documents or presentations, or incorporating images into different applications.
Extracting attachments from a PDF involves retrieving additional files or documents that are embedded within the PDF file itself. These attachments could include supplementary materials such as spreadsheets, images, or documents in various formats like Word or Excel.
Users can extract annotations and form field data from a PDF document, allowing for the seamless transfer of this information to another PDF file. This functionality enables efficient data migration and annotation preservation between PDF files, streamlining document management and collaboration processes.
Discover valuable resources from our blog and knowledge base on extracting data from PDFs.
Explore these resources for comprehensive guides, knowledge base articles, insightful blogs, and ebooks.
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PDF data extraction is the process of retrieving structured data from a PDF document, making it accessible for analysis and use in various applications.
Yes, with optical character recognition technology, it’s possible to extract text and data even from scanned PDFs.
PDFs often contain valuable information locked in unstructured formats. Extracting data makes analysis, manipulation, and integration into other systems easier.
Extracted data can be used for tasks such as data analysis, report generation, automated form filling, data migration, and integration with other systems.
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