Aspose.OMR 22.7.0

There is a newer version of this package available.
See the version list below for details.
dotnet add package Aspose.OMR --version 22.7.0
NuGet\Install-Package Aspose.OMR -Version 22.7.0
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="22.7.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Aspose.OMR --version 22.7.0
#r "nuget: Aspose.OMR, 22.7.0"
#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=22.7.0

// Install Aspose.OMR as a Cake Tool
#tool nuget:?package=Aspose.OMR&version=22.7.0

Square Checkbox in OMR Answer Sheet .NET API

Version 22.7.0 Nuget

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

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 that can be used for manual tuning of the threshold and markup to see changes in real-time.

Why Download Aspose.OMR for .NET?

Aspose.OMR for .NET adds optical mark recognition (OMR) functionality to your C#, VB.NET, and ASP.NET applications. With it, you can design, render and recognize all types of hand-filled forms: answer sheets, examination papers, surveys, questionnaires, ballots, applications, and many more.

No specialized equipment, consumables and third-party software required. Use your office copier or even a smartphone camera instead of an expensive OMR scanner. Respondents can fill out your forms with a pen, pencil or marker and use any type of marks - artificial intelligence and advanced accuracy calibration ensure reliable results. You can even recognize rotated and skewed images.

Aspose.OMR for .NET can recognize any file you get from a scanner or camera: PDF, JPEG, PNG, TIFF, GIF, and BMP. Recognition results are returned in the most popular data storage formats (JSON, XML and CSV) that can be imported into any popular database, CRM or analysis system.

Aspose.OMR for .NET supports QR codes and barcodes recognition.

Aspose.OMR for .NET offers a flexible markup language for designing OMR forms of any layout and complexity; you can even add QR codes, barcodes and images without using third-party libraries. All popular paper sizes as well as a number of non-standard ones are supported. Forms are saved in multiple file formats, intelligently selected based on the provided extension: PDF, JPEG, PNG, TIFF, GIF, and BMP.

Aspose.OMR for .NET is written in C#, has managed code, and supports both x86 and x64 systems.

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.

What's new in v22.7.0

Introducing Square Bubble Style

Now the API supports multiple bubble styles without any change in the recognition logic. These bubble types include circle (round) and square (square), with the introduction of the new bubble-type for the following elements:

The following C# code snippet is used to insert the round type bubbles (checkbox)in the OMR form via API:

?checkbox=Sex:
	bubble_type=round
	font_style=italic
?content=Male
?content=Female
&checkbox

The following C# code snippet is used to insert the square type checkbox in the OMR form via API:

?checkbox=Sex:
	bubble_type=square
	font_style=italic
?content=Male
?content=Female
&checkbox

BarCode Type & QR Version Enumerators

Added the following two enumerators to facilitate the barcode processing within your OMR forms:

  • BarcodeType enumerator to specify the type of the generated barcode, Aspose.OMR.Generation.Config.Enums.BarcodeType.
  • BarcodeQRVersion enumerator to specify the version of the generated QR code, Aspose.OMR.Generation.Config.Enums.QRVersion.

For a complete list of features, enhancements, and bug fixes in this release please visit, Aspose.OMR for .NET 22.7 Release Notes.

Read Images for OMR

JPEG, PNG, GIF, TIFF, BMP

Save OMR Results As

CSV, JSON, XML

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.

Get Started

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

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

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 1,012 3/7/2024
24.2.1 3,364 2/22/2024
24.2.0 861 2/1/2024
24.1.0 3,878 1/20/2024
23.12.0 4,067 12/20/2023
23.11.0 5,909 11/17/2023
23.10.0 4,769 10/26/2023
23.9.0 9,083 9/14/2023
23.8.0 10,975 8/31/2023
23.7.0 8,044 7/7/2023
23.6.1 7,438 6/30/2023
23.6.0 553 6/19/2023
23.5.0 4,008 5/23/2023
23.4.0 4,615 4/21/2023
23.3.1 8,295 3/28/2023
23.3.0 1,081 3/2/2023
23.2.0 6,956 2/22/2023
23.1.0 15,107 1/25/2023
22.12.1 6,800 12/23/2022
22.12.0 660 12/23/2022
22.11.1 7,422 11/23/2022
22.11.0 677 11/12/2022
22.10.0 670 11/1/2022
22.9.0 15,298 9/21/2022
22.8.0 17,743 8/19/2022
22.7.0 19,646 7/30/2022
22.6.0 11,078 6/18/2022
22.5.0 10,259 5/22/2022
22.4.0 11,076 4/19/2022
22.3.0 15,271 3/28/2022
22.2.0 8,266 2/28/2022
22.1.1 3,983 1/29/2022
22.1.0 525 1/29/2022
21.12.0 4,432 12/25/2021
21.11.0 7,343 11/29/2021
21.10.0 5,048 10/18/2021
21.9.0 410 10/6/2021
21.8.0 17,674 8/24/2021
21.7.0 6,187 7/24/2021
21.6.0 6,390 6/30/2021
21.5.0 4,028 6/1/2021
21.4.0 12,314 5/1/2021
21.3.0 6,323 4/1/2021
21.2.1 8,672 2/27/2021
21.2.0 2,875 2/25/2021
20.6.0 12,988 6/30/2020
20.4.0 10,684 4/30/2020
20.3.0 2,134 3/26/2020
19.9.0 7,229 9/30/2019
19.8.0 614 8/31/2019
19.7.0 693 7/31/2019
19.4.0 835 4/30/2019