PdfResumeParser 1.0.0

.NET Framework This package is compatible with all versions of .NET Framework.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package PdfResumeParser --version 1.0.0                

                    
                

            
NuGet\Install-Package PdfResumeParser -Version 1.0.0
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="PdfResumeParser" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add PdfResumeParser --version 1.0.0                

                    
                

            
#r "nuget: PdfResumeParser, 1.0.0"
#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 PdfResumeParser as a Cake Addin
#addin nuget:?package=PdfResumeParser&version=1.0.0

// Install PdfResumeParser as a Cake Tool
#tool nuget:?package=PdfResumeParser&version=1.0.0

General and LinkedIn resume PDF parsing solution using iTextSharp. It returns a hierarchic structure and it allows the extension of parsing logic by providing a decorator over the parser.

Product Compatible and additional computed target framework versions.
.NET Framework net is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on PdfResumeParser:

Package Downloads
PdfResumeParser.Console

Console app devised for the simple use of PdfResumeParser and usage guide.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.2.0 15,253 6/3/2017
1.1.0 2,647 5/31/2017
1.0.0 1,443 5/31/2017

Header, sub-header, line break, time period and text detection features have been implemented