Now the Visual Studio project is ready to use on the code. Next, the NuGet package Manager will download all the DLL files and also add the reference of the DLL file in the current project or default project in Visual Studio as a net project reference. Go to the NuGet package manager link (below) to learn more about the latest version of the Iron Ocr Tesseract library.
#INSTALL TESSERACT ON WINDOWS 10 INSTALL#
Press the Enter key and it will install the NuGet package in the Visual Studio project. Open the package manager console tab as in the image below. In Visual Studio: go to Tools-> NuGet package manager -> Package manager consoleĮnter the following code in the NuGet package manager to install the NuGet package. Select the first result in the NuGet package manager dialog and click the install option. Select NuGet package manager from the menu and search for IRONOCR as a keyword. Next, go to the solution explorer in Visual Studio and left-click the project.
#INSTALL TESSERACT ON WINDOWS 10 UPDATE#
We are also able to update or change between various versions of NuGet packages. We can search for a wide variety of packages and download them.
NuGet allows us to search and install a NuGet package. The NuGet package manager allows us to install packages from the NuGet server. Now the project will generate the structure for the selected application, and, if you have selected the console application, it will be open the program.cs file where you can enter the code and build/run the application. Also, select the required Dot Net Framework. BarCode can also be used on all types of applications, you can also use apps like Webform / MVC/ MVC Core on a net framework and Dot net core.Įnter a project name and select the file path in the appropriate text box in Visual Studio. Open Visual Studio and go to the File menu, select "new project", and then select Console Application/Windows forms/WPF Application.
Tesseract allows us to convert any given images into text. Tesseract is one of the most accurate OCR engines. OCR stands for optical character recognition and is used to convert images, handwritten documents, printed text, and scanned documents into machine-encoded text.
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