Aspose.OCR 19.9.3

There is a newer version of this package available.
See the version list below for details.
dotnet add package Aspose.OCR --version 19.9.3                
NuGet\Install-Package Aspose.OCR -Version 19.9.3                
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="Aspose.OCR" Version="19.9.3" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Aspose.OCR --version 19.9.3                
#r "nuget: Aspose.OCR, 19.9.3"                
#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 Aspose.OCR as a Cake Addin
#addin nuget:?package=Aspose.OCR&version=19.9.3

// Install Aspose.OCR as a Cake Tool
#tool nuget:?package=Aspose.OCR&version=19.9.3                

Optical Character Recognition (OCR) .NET API

It is a standalone OCR API that enhances your .NET apps to perform the OCR operation on JPEG, PNG, GIF, BMP & TIFF images for extraction of English, French, Spanish & Portuguese content.

Aspose.OCR for .NET not only provides the Optical Character Recognition engine but more. You can also apply Blur, Gaussian Blur, and Median filter to reduce noise before document recognition and can set the OcrEngine to ignore non-textual blocks, maintain correct text order during document text recognition & automatically correct spellings of the document text.

Image OCR API Features

  • Programmatically detect, identify and read characters from images.
  • Support English, French, Spanish and Portuguese text.
  • Detect and read popular font faces such as Arial, Times New Roman, Courier New, Tahoma, Calibri & Verdana.
  • Supports regular, bold and italic font styles.
  • Scan whole image or only a specific portion of the image.
  • Scan rotated images.
  • Application of various noise removal filters to assist image recognition.

Enhancements in Version 19.9.3

  • New text recognition engine speed and quality with the introduction of a new Line Recognition Neural Network. It allows to process the entire lines of text without splitting them into separate words which makes recognition faster and with higher quality.

For the detailed notes, please visit Aspose.OCR for .NET 19.9 - Release Notes.

Read Image Formats for OCR

Raster Formats: JPEG, PNG, GIF, BMP, TIFF

Platform Independence

You can use Aspose.OCR for .NET to develop applications in any development environment that targets the .NET Framework 2.0 and higher. This includes support for Mono and Client Profiles.

Getting Started with Aspose.OCR for .NET

Are you ready to give Aspose.OCR for .NET a try? Simply execute Install-Package Aspose.OCR from Package Manager Console in Visual Studio to fetch the NuGet package. If you already have Aspose.OCR for .NET and want to upgrade the version, please execute Update-Package Aspose.OCR to get the latest version.

Execute the following code snippet to see how Aspose.OCR API performs with your own samples or check the GitHub Repository for other common usage scenarios.

Convert Image to Text via C# Code

// initialize an instance of OcrEngine
OcrEngine ocrEngine = new OcrEngine();
// set the Image property by loading the image from file path location or an instance of MemoryStream 
ocrEngine.Image = ImageStream.FromFile(dataDir + "template.bmp");
// process the image
ocrEngine.Process();
// display the recognized text
Console.WriteLine(ocrEngine.Text);

Load a Remote Image for OCR Operation

Aspose.OCR for .NET enables your .NET applications to perform OCR in various scenarios such as accessing a remote JPG image via URL.

// initialize an instance of OcrEngine
OcrEngine ocrEngine = new OcrEngine();
// set the Image property by loading the image from remote location
ocrEngine.Image = ImageStream.FromUrl("https://blog.aspose.com/wp-content/uploads/sites/2/2019/03/SampleTextOnline.jpg");
// run recognition process
ocrEngine.Process();
// display the recognized text
Console.WriteLine(ocrEngine.Text);

Product Page | Documentation | API Reference | Code Examples | Blog | Free Support | Temporary License

Product Compatible and additional computed target framework versions.
.NET Framework net46 is compatible.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • .NETFramework 4.6

    • No dependencies.

NuGet packages (3)

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GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
24.10.0 3,192 10/21/2024
24.9.0 6,336 9/28/2024
24.8.1 10,317 8/24/2024
24.8.0 3,723 8/5/2024
24.7.0 8,357 7/17/2024
24.6.0 9,689 6/14/2024
24.5.0 6,449 5/29/2024
24.4.2 5,531 5/1/2024
24.4.1 6,857 4/23/2024
24.4.0 1,640 4/15/2024
24.3.1 9,066 3/21/2024
24.3.0 8,304 3/15/2024
24.2.0 13,493 2/27/2024
24.1.0 27,211 1/18/2024
23.12.1 22,706 12/21/2023
23.12.0 7,867 12/4/2023
23.10.1 35,720 10/24/2023
23.10.0 10,455 10/10/2023
23.9.0 28,171 9/14/2023
23.8.1 29,425 8/31/2023
23.7.1 25,655 7/25/2023
23.7.0 12,172 7/11/2023
23.6.0 41,643 6/20/2023
23.5.0 20,336 5/19/2023
23.4.0 19,804 4/25/2023
23.3.1 41,388 3/23/2023
23.2.1 53,034 2/27/2023
23.2.0 10,765 2/13/2023
23.1.0 46,367 1/11/2023
22.12.0 25,692 12/14/2022
22.11.1 11,284 11/30/2022
22.11.0 21,605 11/14/2022
22.10.0 8,703 10/31/2022
22.9.0 31,998 9/28/2022
22.8.0 40,363 8/26/2022
22.7.0 20,105 7/22/2022
22.6.0 12,721 7/1/2022
22.5.0 32,231 5/22/2022
22.4.0 23,023 4/20/2022
22.3.0 25,994 3/28/2022
22.2.0 21,517 2/21/2022
22.1.0 27,912 1/27/2022
21.12.0 19,048 12/24/2021
21.11.0 29,783 11/18/2021
21.10.0 17,994 10/19/2021
21.9.0 36,004 9/21/2021
21.8.0 10,243 9/1/2021
21.7.0 52,291 7/29/2021
21.6.1 15,787 7/7/2021
21.6.0 22,669 6/30/2021
21.5.0 26,808 5/26/2021
21.4.0 65,172 4/29/2021
21.3.0 31,417 3/29/2021
21.2.0 18,952 2/25/2021
21.1.2 8,690 2/2/2021
20.12.1 6,929 2/2/2021
20.11.0 19,660 11/26/2020
20.10.0 15,728 10/27/2020
20.9.0 10,114 9/25/2020
20.8.0 12,757 8/27/2020
20.7.0 9,241 8/5/2020
20.6.1 6,558 8/5/2020
20.4.3 6,974 8/6/2020
19.9.3 10,206 2/5/2020
19.9.2 3,456 2/5/2020
19.9.1 11,462 11/20/2019
19.9.0 19,737 10/2/2019
19.8.1 5,385 9/2/2019
19.8.0 4,494 8/28/2019
17.11.0 21,120 11/15/2017
17.6.0 15,610 6/22/2017
17.3.0 4,138 3/17/2017
17.2.0 2,986 2/16/2017
17.1.0 3,742 1/14/2017
16.12.0 4,217 12/17/2016
16.11.0 2,938 11/11/2016
16.10.0 4,492 10/10/2016
3.7.0 2,975 9/2/2016
3.6.0 8,471 6/15/2016
3.5.0 3,458 4/12/2016
3.4.0 3,293 3/2/2016
3.3.0 3,864 2/1/2016
3.2.0 2,774 12/30/2015
3.1.0 3,478 11/23/2015
3.0.0 4,907 10/15/2015
2.9.0 3,275 9/7/2015
2.8.0 19,540 8/5/2015
2.7.0 7,409 6/26/2015
2.6.0 3,112 5/30/2015
2.5.0 3,185 4/30/2015
2.4.0 3,040 3/30/2015
2.3.0 3,473 2/26/2015
2.2.0 3,561 12/31/2014
2.1.0 2,849 10/21/2014
2.0.0 3,479 6/23/2014
1.9.0 2,921 4/3/2014
1.8.0 3,214 11/20/2013
1.6.0 14,010 7/22/2013
1.5.0 2,817 4/4/2013
1.4.0 2,617 12/27/2012
1.3.0 2,745 11/14/2012
1.2.0 2,726 10/19/2012
1.1.0.1 2,861 2/16/2012
1.1.0 2,723 1/24/2012

In this release, we used the new Line recognition Neural Network. It allows to process entire lines of text without splitting them into separate words, which makes recognition faster and with higher quality.