System requirements
Supported operating systems
Both x86 (where applicable) and x64 versions of the following operating systems are supported:
Desktop
- Microsoft Windows 11: Home, Pro, Pro Education, Pro for Workstations, Enterprise, and Education
- Microsoft Windows 10 version 1703: Home, Professional, Education, and Enterprise
- Microsoft Windows 8: Core, Professional, and Enterprise
- Microsoft Windows 7: Home Premium, Professional, Enterprise, Ultimate
- Microsoft Windows Vista
- macOS
- Linux
Server
- Microsoft Windows Server 2022
- Microsoft Windows Server 2019
- Microsoft Windows Server 2016
- Microsoft Windows Server 2012
- Microsoft Windows Server 2008 R2 SP1
Development environments
You can use Aspose.OCR for .NET with any development environment targeting the .NET platform. The library has been specifically tested with the following integrated development environments (IDEs) from Microsoft:
- Microsoft Visual Studio 2015 (update NuGet Package Manager to the latest version)
- Microsoft Visual Studio 2017
- Microsoft Visual Studio 2019
- Microsoft Visual Studio 2022
- Microsoft Visual Studio for Mac version 7.1 or later
Supported frameworks
Aspose.OCR for .NET supports .NET Standard 2.0:
| .NET implementation | Supported versions |
|---|---|
| .NET | 5.0, 6.0 |
| .NET Core | 2.0, 2.1, 2.2, 3.0, 3.1 |
| .NET Framework | 4.6.1, 4.6.2, 4.7, 4.7.1, 4.7.2, 4.8 |
| Mono | 5.4, 6.4 |
| Xamarin.iOS | 10.14, 12.16 |
| Xamarin.Mac | 3.8, 5.16 |
| Xamarin.Android | 8.0, 10.0 |
External dependencies
- Microsoft.ML.OnnxRuntime version 1.13.1 or later (for Aspose.OCR package only)
- Microsoft.ML.OnnxRuntime.Gpu version 1.7.1 or later (for Aspose.OCR-GPU only)
- System.Drawing.Common version 4.7.0 or later
These packages are automatically installed when you install Aspose.OCR / Aspose.OCR-GPU for .NET NuGet package.
You will only need to add these packages if you install Aspose.OCR for .NET using the MSI installer or by manually adding Aspose.Ocr.dll library to the project.
GPU support
To use Aspose.OCR-GPU you will need a CUDA capable GPU and NVIDIA CUDA Toolkit.
Read Installation Guides to learn how to install and check for correct operation of the CUDA Development Tools on your system.