itext7.pdf2data 2.1.12

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.NET Framework 4.5
There is a newer version of this package available.
See the version list below for details.
dotnet add package itext7.pdf2data --version 2.1.12
NuGet\Install-Package itext7.pdf2data -Version 2.1.12
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="itext7.pdf2data" Version="2.1.12" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add itext7.pdf2data --version 2.1.12
#r "nuget: itext7.pdf2data, 2.1.12"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install itext7.pdf2data as a Cake Addin
#addin nuget:?package=itext7.pdf2data&version=2.1.12

// Install itext7.pdf2data as a Cake Tool
#tool nuget:?package=itext7.pdf2data&version=2.1.12

pdf2Data is an iText 7 add-on that allows you to easily extract data from PDF documents. It offers a framework to recognize data inside PDF documents, based on selection rules that you define in a template.

With pdf2Data you can automate the process of extracting data in a secure way.

  • Automate PDF data extraction from PDF invoices, forms and other documents: extract and process data from small or large volumes of PDFs by defining the information that is important for your data processes in a template. Automate PDF data extraction with programming .NET (C#).

  • Define which specific data you want to target for PDF data extraction: easily define the desired information you want to extract in a template with the pdf2Data template editor. pdf2Data for PDF data extraction works with all PDF documents, such as invoices, forms, reports etc. and makes PDF data processing a highly efficient part of your workflow.

  • Integrate automated PDF data extraction into your existing document process: pdf2Data uses open standards to facilitate integration, which makes integrating it into existing workflows easy and fast. It includes SDKs for amongst others .NET (C#) as well as a command line interface. PDF data processing for the 21st century.


pdf2Data works by defining the areas, fonts, patterns, or tables of interest in a template that is used for all PDFs created in the same format, such as an invoice or other commercial documents. You then can define areas of interest with selectors.

Each selector uses a different way of identifying the information that is important and can be used in conjunction or alone to meet your needs.

  • Extract data from PDF documents: leverage iText 7 Core content extraction, for a high-fidelity recognition process of text and images for PDF data processing.
  • Intuitive extraction configuration: pdf2Data has comprehensive out of the box functionality, with the flexibility to extend and customize. Focus on easy integration and open standards.
  • Use templates to streamline extraction: define areas of interest and selection rules to get exactly the content you need.
  • Integrate in your PDF and/or data workflow: data is output in a structured, reusable format for further processing, with access to the page coordinates of the extracted content.

Visit our knowledge base to find code samples, manuals, documentation and more.

You can also find its API here.

Try our code in our developer sandbox or use our free apps, all in our iText 7 Demo Lab.

Product Compatible and additional computed target framework versions.
.NET Framework net45 is compatible.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Additional computed target framework(s)
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NuGet packages

This package is not used by any NuGet packages.

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Version Downloads Last updated
4.1.0 566 3/29/2023
4.0.0 1,571 11/29/2022
3.1.1 1,297 7/25/2022 1,052 4/15/2022
3.1.0 608 3/3/2022
3.0.0 6,372 10/25/2021
2.1.12 679 7/5/2021
2.1.11 560 4/13/2021
2.1.10 798 1/14/2021
2.1.9 749 10/22/2020
2.1.8 908 7/23/2020
2.1.7 1,161 4/20/2020
2.1.6 725 2/13/2020
2.1.5 1,543 12/2/2019
2.1.4 820 9/19/2019
2.1.3 8,408 4/19/2019
2.1.2 2,875 11/20/2018
2.1.1 1,421 9/18/2018
2.1.0 2,625 8/29/2018
2.0.3 948 7/20/2018
2.0.2 1,522 4/30/2018
2.0.1 1,072 1/31/2018
2.0.0 1,020 12/19/2017
1.2.1 938 12/12/2017
1.2.0 855 11/15/2017