Aspose.OMR 19.9.0

There is a newer version of this package available.
See the version list below for details.
dotnet add package Aspose.OMR --version 19.9.0
NuGet\Install-Package Aspose.OMR -Version 19.9.0
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.OMR" Version="19.9.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Aspose.OMR --version 19.9.0
#r "nuget: Aspose.OMR, 19.9.0"
#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.
// Install Aspose.OMR as a Cake Addin
#addin nuget:?package=Aspose.OMR&version=19.9.0

// Install Aspose.OMR as a Cake Tool
#tool nuget:?package=Aspose.OMR&version=19.9.0

.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 19.9.0

  • Supports export options for XML and JSON.

Added Methods in Version 19.9.0

  • Aspose.OMR.Model.RecognitionResult.GetJson
  • Aspose.OMR.Model.RecognitionResult.GetXml
  • Aspose.OMR.Model.IOmrElement.GetAnswer

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 | API Reference | Code Examples | Blog | Free Support | Temporary License

Product Compatible and additional computed target framework versions.
.NET Framework net40 is compatible.  net403 was computed.  net45 was computed.  net451 was computed.  net452 was computed.  net46 was computed.  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.

This package has no dependencies.

NuGet packages (2)

Showing the top 2 NuGet packages that depend on Aspose.OMR:

Package Downloads
Aspose.Total

Aspose.Total for .NET is the most complete package of all .NET file format APIs offered by Aspose. It empowers developers to create, edit, render, print and convert between a wide range of popular document formats within any .NET, C#, ASP.NET and VB.NET applications.

Aspose.OMR.Handwriting

This extension to Aspose.OMR for .NET adds support for handwritten text input to machine-readable OMR forms. Free-form text text recognition allows to create more dynamic and adaptive forms that can capture a wide range of responses without the need for an exhaustive list of predefined answers. While the handwritten text recognition might not be as accurate as standard optical mark recognition, it is more intuitive, user-friendly, and versatile in a number of applications: - Creating more compact and space-efficient forms, making efficient use of limited page space. - Rapidly creating surveys and quizzes without the need for extensive categorization of information into predefined choices. - Appealing to a broader audience, by allowing respondents to write their answers rather than selecting close-ended options. - Automatically digitizing free-form responses into machine-readable text without the need for additional OCR libraries. Important: at the moment, the library only supports Latin letters (A-Z) and Western Arabic numerals (0-9). Changelog: - This is the first release of handwriting recognition module. Stay tuned for further updates. Check for details in our online documentation (https://docs.aspose.com/omr/net/) or ask your questions at the free support forum (https://forum.aspose.com/c/omr/).

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
24.3.0 419 3/7/2024
24.2.1 2,916 2/22/2024
24.2.0 766 2/1/2024
24.1.0 3,246 1/20/2024
23.12.0 3,964 12/20/2023
23.11.0 5,692 11/17/2023
23.10.0 4,630 10/26/2023
23.9.0 8,805 9/14/2023
23.8.0 10,663 8/31/2023
23.7.0 7,856 7/7/2023
23.6.1 7,328 6/30/2023
23.6.0 553 6/19/2023
23.5.0 3,935 5/23/2023
23.4.0 4,533 4/21/2023
23.3.1 8,201 3/28/2023
23.3.0 1,067 3/2/2023
23.2.0 6,826 2/22/2023
23.1.0 14,419 1/25/2023
22.12.1 6,743 12/23/2022
22.12.0 660 12/23/2022
22.11.1 7,359 11/23/2022
22.11.0 677 11/12/2022
22.10.0 670 11/1/2022
22.9.0 15,105 9/21/2022
22.8.0 17,609 8/19/2022
22.7.0 19,584 7/30/2022
22.6.0 10,995 6/18/2022
22.5.0 10,157 5/22/2022
22.4.0 10,921 4/19/2022
22.3.0 15,217 3/28/2022
22.2.0 8,193 2/28/2022
22.1.1 3,928 1/29/2022
22.1.0 525 1/29/2022
21.12.0 4,430 12/25/2021
21.11.0 7,161 11/29/2021
21.10.0 5,010 10/18/2021
21.9.0 410 10/6/2021
21.8.0 17,513 8/24/2021
21.7.0 6,148 7/24/2021
21.6.0 6,325 6/30/2021
21.5.0 4,028 6/1/2021
21.4.0 12,230 5/1/2021
21.3.0 6,275 4/1/2021
21.2.1 8,619 2/27/2021
21.2.0 2,875 2/25/2021
20.6.0 12,934 6/30/2020
20.4.0 10,684 4/30/2020
20.3.0 2,134 3/26/2020
19.9.0 7,211 9/30/2019
19.8.0 614 8/31/2019
19.7.0 693 7/31/2019
19.4.0 835 4/30/2019