Tesseract 4.1.0-beta1

.NET Standard 2.0 .NET Framework 4.0
This is a prerelease version of Tesseract.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Tesseract --version 4.1.0-beta1
NuGet\Install-Package Tesseract -Version 4.1.0-beta1
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="Tesseract" Version="4.1.0-beta1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Tesseract --version 4.1.0-beta1
#r "nuget: Tesseract, 4.1.0-beta1"
#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 Tesseract as a Cake Addin
#addin nuget:?package=Tesseract&version=4.1.0-beta1&prerelease

// Install Tesseract as a Cake Tool
#tool nuget:?package=Tesseract&version=4.1.0-beta1&prerelease

Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net40 net403 net45 net451 net452 net46 net461 net462 net463 net47 net471 net472 net48 net481
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

  • .NETFramework 4.0

    • No dependencies.

  • .NETFramework 4.5

    • No dependencies.

  • .NETStandard 2.0

NuGet packages (37)

Showing the top 5 NuGet packages that depend on Tesseract:

Package Downloads
Tesseract.Drawing

Adds support for interop with System.Drawing to Tesseract such as passing Bitmap to Tesseract.
Tesseract.Helper

This helps to read simple text (string or number) from the images using Tesseract without additional configuration. IMPORTANT : Change the properties of all the files in the "tessdata" folder for "Copy To Output Directory" as "Copy always". Sample Project : https://github.com/rohitvipin/TesseractHelper.Demo
RatEye

Image processing library for Escape from Tarkov
Glass.Imaging.Recognition.Tesseract

Glass.Imaging.Recognition.Tesseract
Rx.Automation

使用Ranorex設計自動化腳本通用的函式庫

GitHub repositories (6)

Showing the top 5 popular GitHub repositories that depend on Tesseract:

Repository Stars
Andrewthe13th/Inventory_Kamera
Scans Genshin Impact characters, artifacts, and weapons from the game window into a JSON file.
RatScanner/RatScanner
Rat Scanner a helpful tool for Escape from Tarkov.
axzxs2001/Asp.NetCoreExperiment
原来所有项目都移动到**OleVersion**目录下进行保留。新的案例装以.net 5.0为主，一部分对以前案例进行升级，一部分将以前的工作经验总结出来，以供大家参考！
A9T9/Free-Ocr-Windows-Desktop
Free open-source OCR application for the Windows Desktop - A modern GUI front-end for the Tesseract OCR engine. The application also includes support for reading and OCR'ing PDF files.
robela/OCR-Invoice
a console application that would run on Windows server to scan user’s Bill and Receipts, which are either captured by camera or in form of an electronic file like pdf etc. 1. All the invoices/receipts will be uploaded on server in a folder 2. The uploaded invoices/receipts will be scanned by OCR app and extract following information from the file and put them in database table - Vendor/Party Name - Invoice date - Tax amount - Total amount - Line items(Item Name, Item Qty, Item rate, Item Tax & Item Amount) 3. The processing of OCR should be done with 90% of accuracy 4. Application designed be able to handle the noise & quality of the uploaded invoice images.
Version Downloads Last updated
5.2.0 31,055 11/30/2022
4.1.1 606,536 11/15/2020
4.1.0-beta1 72,464 10/12/2019
3.3.0 473,024 12/16/2018
3.2.0-alpha4 17,890 8/23/2017
3.2.0-alpha3 1,395 7/4/2017
3.2.0-alpha2 4,118 10/16/2016
3.2.0-alpha1 1,192 8/30/2016
3.0.2 507,938 2/13/2016
3.0.2-alpha1 1,065 2/8/2016
3.0.1 11,460 12/23/2015
3.0.0 3,505 12/19/2015
2.4.1 13,480 10/25/2015
2.4.0 11,157 7/25/2015
2.3.0 26,001 3/29/2015
2.2.0 12,026 1/26/2015
2.1.1.1 8,033 12/2/2014
2.1.0.1 4,137 11/1/2014
2.0.0.1 5,645 9/21/2014
1.0.12 5,248 6/28/2014
1.0.11 1,347 6/22/2014
1.0.10 4,942 1/27/2014
1.0.9 1,208 1/24/2014
1.0.8 1,673 1/6/2014
1.0.7 1,170 1/3/2014
1.0.6 1,331 12/24/2013
1.0.5 1,162 12/20/2013
1.0.4 1,716 12/10/2013
1.0.0-alpha2 1,091 10/4/2013
1.0.0-alpha1 924 10/4/2013

https://github.com/charlesw/tesseract/blob/master/ChangeLog.md