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Aspose.OCR-GPU 26.3.0

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dotnet add package Aspose.OCR-GPU --version 26.3.0
 
 
NuGet\Install-Package Aspose.OCR-GPU -Version 26.3.0
 
 
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="Aspose.OCR-GPU" Version="26.3.0" />
 
 
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Aspose.OCR-GPU" Version="26.3.0" />
 
Directory.Packages.props
<PackageReference Include="Aspose.OCR-GPU" />
 
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Aspose.OCR-GPU --version 26.3.0
 
 
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Aspose.OCR-GPU, 26.3.0"
 
 
#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.
#:package Aspose.OCR-GPU@26.3.0
 
 
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=Aspose.OCR-GPU&version=26.3.0
 
Install as a Cake Addin
#tool nuget:?package=Aspose.OCR-GPU&version=26.3.0
 
Install as a Cake Tool
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Optical character recognition (OCR) API for .NET

👁 Version 26.3.0
👁 Downloads

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Product Page | Docs | Demos | API Reference | Examples | Blog | Search | Free Support | Temporary License

Integrate optical character recognition (OCR) into your .NET applications, websites, cloud services, or serverless functions written in C#, F# and VB.NET. Transform scanned documents into searchable PDFs, extract text from photos, illustrations, and screenshots, compare text across images, and many more.

Cross-platform

Aspose OCR library works everywhere and is suitable for any task:

  • x64 and x86 architectures
  • Windows, macOS, Linux, AWS, Azure, Google Cloud, Docker.
  • .NET 9, .NET 8, .NET 7, .NET 6, .NET 5, .NET Core, .NET Standard, and .NET Framework.
  • Desktop applications, console utilities, services, web sites, microservices, serverless functions.

You would like

Aspose offers one of the most powerful OCR API on the market:

  • Universal – extracts text from any image, whether it's a high-quality scan, casual street photo, screenshot, or handwritten note.
  • Reliable - delivers exceptional recognition accuracy, outperforming even the most powerful open source libraries such as Tesseract. Easily handles rotated, distorted, blurry or noisy images.
  • Developer-friendly - you will only need a few lines of code to perform any OCR task. Choose between optimized, fully automated routines for effortless OCR processing or take full control over recognition, including session management and memory handling.
  • Modular – maintains a lean and efficient application by selectively incorporating advanced features from our comprehensive resource repository.
  • Multi-language - recognizes text in over 140 languages and seamlessly handles mixed-language content, even when composed of 5–6 different languages.
  • Offline - all OCR tasks are performed locally, with no reliance on cloud or third-party services.

Try it yourself

Don't just take our word for it - try it yourself! Install the Aspose.OCR NuGet package and see it in action. With just five lines of C# code, you can convert an image to text:

Aspose.OCR.AsposeOcr recognitionEngine = new Aspose.OCR.AsposeOcr();
Aspose.OCR.OcrInput source = new Aspose.OCR.OcrInput(Aspose.OCR.InputType.SingleImage);
source.Add("your_image.png");
Aspose.OCR.OcrOutput results = recognitionEngine.Recognize(source);
Console.WriteLine(results[0].RecognitionText);

You can download sample projects to explore the advanced capabilities of the Aspose OCR library or visit the product page for live code sample.

Recognition languages

Our OCR library is ideal for global applications and multilingual documents. With support for nearly , it ensures highly accurate text extraction across various scripts and alphabets. We excel at processing mixed-language documents, even those containing 3+ languages like Japanese, English, and Cyrillic.

  • Extended Latin (English, Spanish, Portuguese, French, German and other European languages)
  • Cyrillic (Russian, Ukrainian, Bulgarian, and more)
  • Arabic, Persian and Urdu
  • Chinese
  • Hindi and other Devanagari-based scripts
  • Korean
  • Japanese
  • South Asian languages (Tamil, Telugu, Vietnamese, and the like)

Supported file formats

Aspose OCR can handle nearly any file format from scanners or cameras, including:

  • JPEG, PNG, BMP, and GIF
  • Single-page and multi-page TIFF
  • PDF
  • DjVu

All the mentioned file types can be read directly from web links. Additionally, our OCR library enables bulk recognition of images from folders and archives, making large-scale document processing faster and more efficient.

The recognition results are returned in popular file and data exchange formats, enabling easy storage, database import, or real-time analysis:

  • Plain text
  • Searchable PDF
  • Microsoft Word or Excel documents
  • HTML
  • RTF
  • ePUB
  • JSON and XML
  • hOCR

Image analysis and preprocessing

The Aspose.OCR library features fully automated image preprocessing, enabling it to extract text even in cases where other OCR engines, like Tesseract, fail to produce any results.

  • Automatically detects image orientation, handling severely rotated and even upside-down images.
  • Detects text background, recognizing inverted images.
  • Automatically straightens page curls and corrects lens distortions.
  • Removes dirt, spots, scratches, glare, and other noise.
  • Automatically detects multi-column text and tables, recognizing and preserving their layout.

Licensing

You can begin using the Aspose OCR library immediately after installation. In evaluation mode (without providing a license), you can recognize text in any supported language and save recognition results in all supported formats, with a few limitations:

  • If the number of characters in a recognized image exceeds 300, only the first 300 characters will be recognized.
  • If the number of characters is fewer than 300, only the first 60% of the characters will be recognized.

To unlock all features, request a temporary license, which removes all limitations for 30 days. This gives you the opportunity to build a fully functional OCR application and evaluate Aspose.OCR before making your final purchase decision.

Learn more

Product Versions Compatible and additional computed target framework versions.
.NET net5.0 net5.0 was computed.  net5.0-windows net5.0-windows was computed.  net6.0 net6.0 was computed.  net6.0-android net6.0-android was computed.  net6.0-ios net6.0-ios was computed.  net6.0-maccatalyst net6.0-maccatalyst was computed.  net6.0-macos net6.0-macos was computed.  net6.0-tvos net6.0-tvos was computed.  net6.0-windows net6.0-windows was computed.  net7.0 net7.0 was computed.  net7.0-android net7.0-android was computed.  net7.0-ios net7.0-ios was computed.  net7.0-maccatalyst net7.0-maccatalyst was computed.  net7.0-macos net7.0-macos was computed.  net7.0-tvos net7.0-tvos was computed.  net7.0-windows net7.0-windows was computed.  net8.0 net8.0 was computed.  net8.0-android net8.0-android was computed.  net8.0-browser net8.0-browser was computed.  net8.0-ios net8.0-ios was computed.  net8.0-maccatalyst net8.0-maccatalyst was computed.  net8.0-macos net8.0-macos was computed.  net8.0-tvos net8.0-tvos was computed.  net8.0-windows net8.0-windows was computed.  net9.0 net9.0 was computed.  net9.0-android net9.0-android was computed.  net9.0-browser net9.0-browser was computed.  net9.0-ios net9.0-ios was computed.  net9.0-maccatalyst net9.0-maccatalyst was computed.  net9.0-macos net9.0-macos was computed.  net9.0-tvos net9.0-tvos was computed.  net9.0-windows net9.0-windows was computed.  net10.0 net10.0 was computed.  net10.0-android net10.0-android was computed.  net10.0-browser net10.0-browser was computed.  net10.0-ios net10.0-ios was computed.  net10.0-maccatalyst net10.0-maccatalyst was computed.  net10.0-macos net10.0-macos was computed.  net10.0-tvos net10.0-tvos was computed.  net10.0-windows net10.0-windows was computed. 
.NET Core netcoreapp2.0 netcoreapp2.0 was computed.  netcoreapp2.1 netcoreapp2.1 was computed.  netcoreapp2.2 netcoreapp2.2 was computed.  netcoreapp3.0 netcoreapp3.0 was computed.  netcoreapp3.1 netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 netstandard2.0 is compatible.  netstandard2.1 netstandard2.1 was computed. 
.NET Framework net461 net461 was computed.  net462 net462 was computed.  net463 net463 was computed.  net47 net47 was computed.  net471 net471 was computed.  net472 net472 was computed.  net48 net48 was computed.  net481 net481 was computed. 
MonoAndroid monoandroid monoandroid was computed. 
MonoMac monomac monomac was computed. 
MonoTouch monotouch monotouch was computed. 
Tizen tizen40 tizen40 was computed.  tizen60 tizen60 was computed. 
Xamarin.iOS xamarinios xamarinios was computed. 
Xamarin.Mac xamarinmac xamarinmac was computed. 
Xamarin.TVOS xamarintvos xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
26.3.0 1,462 3/18/2026
25.10.0 4,518 10/15/2025
23.10.1 10,088 10/31/2023
23.6.0 7,312 6/21/2023
23.5.0 7,144 5/29/2023
21.6.0 9,153 6/30/2021
21.5.0 7,343 5/26/2021
21.4.0 7,668 4/29/2021
21.3.0 7,803 3/30/2021
21.2.0 7,614 2/25/2021
21.1.2 7,241 2/2/2021
20.12.0 6,860 12/28/2020
20.11.0 7,722 11/26/2020
20.10.0 7,253 10/27/2020
20.9.0 7,559 9/25/2020
20.8.0 7,096 8/27/2020
20.7.0 6,815 8/5/2020