Aspose.OCR 19.9.3

In this release a new line recognition CRRN was ported to Neural Network Player. It allows to process entire lines of text without splitting them into separate words.

   Free support for Aspose.OCR for .NET is provided on our support forum: https://forum.aspose.com/

Install-Package Aspose.OCR -Version 19.9.3
dotnet add package Aspose.OCR --version 19.9.3
<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
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

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

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

Release Notes

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.

  • .NETFramework 4.6

    • No dependencies.

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
19.9.3 875 2/5/2020
19.9.2 117 2/5/2020
19.9.1 1,970 11/20/2019
19.9.0 2,099 10/2/2019
19.8.1 1,259 9/2/2019
19.8.0 500 8/28/2019
17.11.0 8,758 11/15/2017
17.6.0 4,473 6/22/2017
17.3.0 1,906 3/17/2017
17.2.0 854 2/16/2017
17.1.0 1,557 1/14/2017
16.12.0 714 12/17/2016
16.11.0 828 11/11/2016
16.10.0 2,142 10/10/2016
3.7.0 777 9/2/2016
3.6.0 3,001 6/15/2016
3.5.0 1,339 4/12/2016
3.4.0 1,039 3/2/2016
3.3.0 1,574 2/1/2016
3.2.0 730 12/30/2015
3.1.0 1,188 11/23/2015
3.0.0 2,726 10/15/2015
2.9.0 981 9/7/2015
2.8.0 13,986 8/5/2015
2.7.0 3,163 6/26/2015
2.6.0 768 5/30/2015
2.5.0 816 4/30/2015
2.4.0 793 3/30/2015
2.3.0 829 2/26/2015
2.2.0 943 12/31/2014
2.1.0 1,072 10/21/2014
2.0.0 1,443 6/23/2014
1.9.0 1,014 4/3/2014
1.8.0 1,063 11/20/2013
1.6.0 1,006 7/22/2013
1.5.0 1,006 4/4/2013
1.4.0 795 12/27/2012
1.3.0 776 11/14/2012
1.2.0 776 10/19/2012
1.1.0.1 1,088 2/16/2012
1.1.0 827 1/24/2012