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XMP, or Extensible Metadata Platform, acts like a digital label embedded within PDFs, carrying information beyond the document itself. It holds details like author names, creation dates, keywords, and even revision history. Programmatically extracting this XMP data unlocks a treasure trove of possibilities. Imagine automatically organizing PDFs based on author or keyword, extracting copyright information for legal purposes, or even tracing the evolution of a document through its XMP timestamps. This power makes XMP extraction invaluable for researchers, librarians, and anyone who wants to squeeze the most out of their PDF collection.
Several .NET Core PDF components support the extraction of XMP metadata including:
For an in-depth analysis of features and price, visit our .NET Core PDF Components comparison.

IronPDF for Node.js lets you generate, edit, and extract PDF content in Node.js projects. It is designed for Node.js 12+ and is compatible with various operating systems including Windows, macOS and Linux, and IDEs such as JetBrains WebStorm and Microsoft Visual Studio Code. Its key features include generating PDFs programmatically using Node.js, creating PDFs from HTML, CSS, and JavaScript, adding headers/footers, watermarks or attachments to PDF documents, and securing PDFs using passwords, metadata and digital signatures.
IronPDF for Node.js is licensed per developer and is available as a perpetual license with 1 year of product updates and support services. Lite, Plus and Professional Licenses are available for different development and distribution requirements. See our IronPDF for Node.js licensing page for full details.
IronPDF for Node.js is available to buy in the following products:

Document Solutions for PDF (formerly GrapeCity Documents for PDF), is a powerful and comprehensive C# library that empowers developers to create, manipulate, and manage PDF documents with ease. This versatile product enables developers to generate PDFs from scratch, modify existing documents, import and export data, and incorporate advanced features like AcroForms and annotations.
Document Solutions for PDF v7 elevates document review with the introduction of Caret Annotation, a useful tool for pinpointing critical areas in PDFs. The CaretAnnotation class empowers you to programmatically identify and highlight missing content or necessary modifications with pinpoint accuracy. This feature facilitates the rapid placement of visual cues across multiple locations within your PDFs, ensuring reviewers can easily identify areas that require attention.
To see a full list of what's new in version 7.0.0, see our release notes.
Document Solutions for PDF is licensed per developer and is available in several license options for differing distribution needs. Team licenses are also available for multiple developers within the same organization. See our Document Solutions for PDF licensing page for full details.
For more information, visit our Document Solutions for PDF product page.

Converting PDFs to images is a feature that allows users to transform each page of a PDF into a separate image file, such as JPEG or PNG. This is useful for previewing documents in environments where PDFs are not natively supported, or for including PDF content in graphic design projects.
Several WinForms PDF Components support PDF to Image conversion including:
For an in-depth analysis of features and price, visit our WinForms PDF Components comparison.

Redaction functionality provides a secure and efficient way to remove sensitive or confidential information from digital documents. This feature is crucial for organizations that handle sensitive data, ensuring compliance with data privacy regulations and safeguarding sensitive information from unauthorized access. By securely redacting sensitive information, organizations can protect against data breaches, maintain data integrity, and meet legal and compliance requirements.
Several .NET PDF components provide redaction support including:
For an in-depth analysis of features and price, visit our .NET PDF component comparison.