Aspose.OMR 20.4.0

Aspose.OMR for .NET is a standalone .NET library that provides API to recognize optical marks from OMR digitized sheet images.
Aspose.OMR for .Net has the capability to capture human-marked data from documents like surveys, questionnaires, examination paper etc. With the use of Aspose.OMR for .Net, it is possible to recognize scanned images and even photos with high accuracy. Aspose.OMR can perform OMR operation on JPEG, PNG, GIF, TIFF, and BMP image files and save the output in CSV format.

Features:
* Recognition of scanned images and photos;
* Ability to process rotated and perspective (side viewed) images;
* Recognize data from tests, exams, questionnaires, surveys etc;
* High accuracy rate.
* GUI for correcting complex cases.
* Export the results to CSV file format.
* Create templates and images from text markup.

Try for free using online apps: https://products.aspose.app/omr/family

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

There is a newer version of this package available.
See the version list below for details.
Install-Package Aspose.OMR -Version 20.4.0
dotnet add package Aspose.OMR --version 20.4.0
<PackageReference Include="Aspose.OMR" Version="20.4.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Aspose.OMR --version 20.4.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

.NET API to Perform OMR

It is a standalone on-premise API that helps in recognizing the human-marked data from images of scanned documents, surveys, questionnaires, quizzes and examination papers.

Aspose.OMR for .NET not only acts as an Optical Mark Recognition engine. It also provides a handy graphical control which can be used for manual tuning of the threshold and markup to see changes in the real-time.

OMR API Features

  • Recognition of scanned images and photos.
  • Ability to process rotated and perspective (side viewed) images.
  • Recognize data from tests, exams, questionnaires, surveys etc.
  • High accuracy rate & ability to export the results in CSV format.
  • Create OMR templates from text markup.

New Features in Version 20.4

  • Support of exporting images to PDF.
  • Supports barcode creation and recognition.

Enhancements in Version 20.4

  • Supports horizontal alignment for the grid element in template generation.

For the detailed notes, please visit Aspose.OMR for .NET 20.4 Release Notes.

Save OMR Results As

CSV, XML, JSON

Read Images for OMR

JPEG, PNG, GIF, TIFF, BMP

Platform Independence

Aspose.OMR for .NET API is written in C# and can be used to build 32-bit and 64-bit applications targeting .NET Framework 4.0 and higher.

Getting Started with Aspose.OMR for .NET

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

Simply execute the below code snippet to see how Aspose.OMR API performs in your environment or check the GitHub Repository for other common usage scenarios.

Perform OMR on a JPG Image & Get Results in the CSV format

// recognize image and receive result
RecognitionResult result = templateProcessor.RecognizeImage(dir + "template.jpg");
// export results as a CSV string
string csvResult = result.GetCsv();

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

.NET API to Perform OMR

It is a standalone on-premise API that helps in recognizing the human-marked data from images of scanned documents, surveys, questionnaires, quizzes and examination papers.

Aspose.OMR for .NET not only acts as an Optical Mark Recognition engine. It also provides a handy graphical control which can be used for manual tuning of the threshold and markup to see changes in the real-time.

OMR API Features

  • Recognition of scanned images and photos.
  • Ability to process rotated and perspective (side viewed) images.
  • Recognize data from tests, exams, questionnaires, surveys etc.
  • High accuracy rate & ability to export the results in CSV format.
  • Create OMR templates from text markup.

New Features in Version 20.4

  • Support of exporting images to PDF.
  • Supports barcode creation and recognition.

Enhancements in Version 20.4

  • Supports horizontal alignment for the grid element in template generation.

For the detailed notes, please visit Aspose.OMR for .NET 20.4 Release Notes.

Save OMR Results As

CSV, XML, JSON

Read Images for OMR

JPEG, PNG, GIF, TIFF, BMP

Platform Independence

Aspose.OMR for .NET API is written in C# and can be used to build 32-bit and 64-bit applications targeting .NET Framework 4.0 and higher.

Getting Started with Aspose.OMR for .NET

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

Simply execute the below code snippet to see how Aspose.OMR API performs in your environment or check the GitHub Repository for other common usage scenarios.

Perform OMR on a JPG Image & Get Results in the CSV format

// recognize image and receive result
RecognitionResult result = templateProcessor.RecognizeImage(dir + "template.jpg");
// export results as a CSV string
string csvResult = result.GetCsv();

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

Release Notes

https://docs.aspose.com/display/omrnet/Aspose.OMR+for+.NET+20.4+Release+Notes

Dependencies

This package has no dependencies.

GitHub repositories (0)

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
20.6.0 28 6/30/2020
20.4.0 523 4/30/2020
20.3.0 760 3/26/2020
19.9.0 1,773 9/30/2019
19.8.0 188 8/31/2019
19.7.0 263 7/31/2019
19.4.0 370 4/30/2019