Leadtools.Ocr.Languages.Main 23.0.0.3

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The owner has unlisted this package. This could mean that the package is deprecated, has security vulnerabilities or shouldn't be used anymore. 
dotnet add package Leadtools.Ocr.Languages.Main --version 23.0.0.3                

                    
                

            
NuGet\Install-Package Leadtools.Ocr.Languages.Main -Version 23.0.0.3
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="Leadtools.Ocr.Languages.Main" Version="23.0.0.3" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Leadtools.Ocr.Languages.Main --version 23.0.0.3                

                    
                

            
#r "nuget: Leadtools.Ocr.Languages.Main, 23.0.0.3"
#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 Leadtools.Ocr.Languages.Main as a Cake Addin
#addin nuget:?package=Leadtools.Ocr.Languages.Main&version=23.0.0.3

// Install Leadtools.Ocr.Languages.Main as a Cake Tool
#tool nuget:?package=Leadtools.Ocr.Languages.Main&version=23.0.0.3

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There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Leadtools.Ocr.Languages.Main:

Package Downloads
Leadtools.Ocr

Supported Platforms: • NETStandard • UWP • XamariniOS • XamarinAndroid • NETFramework For over two decades, LEADTOOLS multi-faceted OCR SDK has led the industry in optical character recognition. Using LEAD’s advanced OCR APIs, programmers can write as few as three lines of code to convert an image to text-searchable documents, offering full page as well as zonal recognition. LEADTOOLS supports character sets for more than 40 languages. This package includes English, Spanish, French, Italian, and German. For more languages, see the Leadtools.Ocr.Languages.* packages. Handwritten text has been historically difficult to recognize due to variations in each and every sample set of handwriting. Our optimizations continue to ensure that LEADTOOLS ICR libraries provide unparalleled accuracy by leveraging artificial intelligence and machine learning to power additional technologies such as: • Hand printed and cursive in color and bitonal images • Automatic image preprocessing to cleanup noise and enhance low-resolution images • Spelling dictionary • Detect uppercase, lowercase, digits, currency, and punctuation • Automatic image segmentation Because automation and efficiency are at the forefront for developers building recognition solutions, LEAD has created mixed mode AutoZone capabilities to extract text from images that contain a mix of machine-printed text, handwritten text, MICR, MRZ, OMR, graphics, and table zones. LEADTOOLS automatically detects and recognizes everything. This powerful combination of recognition technologies is critical for companies that need to quickly and accurately OCR images regardless of how the data is formatted. Forms recognition and processing technology detects and processes unstructured and semi-structured documents such as bubble forms, invoices, applications/tax forms, checks, passports, driver's licenses, and business cards. LEADTOOLS Forms libraries use an advanced combination of OCR, OMR, ICR, barcode, and intelligent image processing techniques, image cleanup and more to automate the extraction of text from complex documents. This is just a small part of a large technology offering called LEADTOOLS. To see all that LEADTOOLS has to offer, go to https://www.leadtools.com Use the following link to register for a LEADTOOLS license file that is required to use this NuGet. Additionally, the link provides access to the LEADTOOLS Installer. The Installer includes 100’s of demo applications with source code to jump start your development: https://bit.ly/LEADTOOLS_NUGET

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