Aspose.OMR 21.2.0

There is a newer version of this package available.
See the version list below for details.
dotnet add package Aspose.OMR --version 21.2.0
NuGet\Install-Package Aspose.OMR -Version 21.2.0
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="21.2.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Aspose.OMR --version 21.2.0
#r "nuget: Aspose.OMR, 21.2.0"
#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=21.2.0

// Install Aspose.OMR as a Cake Tool
#tool nuget:?package=Aspose.OMR&version=21.2.0

Aspose.OMR for .NET enhances your C#, VB.NET, and ASP.NET applications to recognize OMR (Optical Mark Recognition) digitized sheets and fetch mark details from them without installing any other 3rd party software. Its collection of classes make it very easy for developers to programmatically capture human-marked data from digitized MCQs, surveys, questionnaires, and tests. It’s accurate recognition is based on the template markup consisting of a graphical mapping of recognizable items from the scanned images.

Aspose.OMR for .NET can load and read scanned/digitized sheets of various formats (JPEG, PNG, GIF, TIFF, and BMP) and can also save the output to CSV and JSON formats. Supports processing the rotated and perspective images. Using Aspose.OMR for .NET you can create your own OMR templates with text markup, images or containing barcodes. Our template generation markup supports various elements, such as, text, answer sheet, choice box, grid, image, and barcode. Aspose.OMR for .NET API provides ability to save generated templates as PDF files. It can also recognize barcodes while executing the OMR operation on a sheet. Aspose.OMR for .NET also provides a graphical control that helps you fine-tune threshold, grid alignment and in exporting the OMR output to supported formats.

It is completely written in C# having managed code and supports both the 32-bit and 64-bit editions of Microsoft Windows®.

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.
* 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/

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 2,674 3/7/2024
24.2.1 3,968 2/22/2024
24.2.0 969 2/1/2024
24.1.0 4,590 1/20/2024
23.12.0 4,674 12/20/2023
23.11.0 6,509 11/17/2023
23.10.0 5,259 10/26/2023
23.9.0 9,704 9/14/2023
23.8.0 11,897 8/31/2023
23.7.0 8,504 7/7/2023
23.6.1 7,902 6/30/2023
23.6.0 554 6/19/2023
23.5.0 4,450 5/23/2023
23.4.0 4,950 4/21/2023
23.3.1 8,596 3/28/2023
23.3.0 1,095 3/2/2023
23.2.0 7,228 2/22/2023
23.1.0 16,417 1/25/2023
22.12.1 7,018 12/23/2022
22.12.0 662 12/23/2022
22.11.1 7,639 11/23/2022
22.11.0 677 11/12/2022
22.10.0 670 11/1/2022
22.9.0 15,762 9/21/2022
22.8.0 18,072 8/19/2022
22.7.0 19,900 7/30/2022
22.6.0 11,319 6/18/2022
22.5.0 10,391 5/22/2022
22.4.0 11,294 4/19/2022
22.3.0 15,438 3/28/2022
22.2.0 8,441 2/28/2022
22.1.1 4,102 1/29/2022
22.1.0 530 1/29/2022
21.12.0 4,450 12/25/2021
21.11.0 7,541 11/29/2021
21.10.0 5,196 10/18/2021
21.9.0 410 10/6/2021
21.8.0 18,194 8/24/2021
21.7.0 6,317 7/24/2021
21.6.0 6,503 6/30/2021
21.5.0 4,028 6/1/2021
21.4.0 12,488 5/1/2021
21.3.0 6,474 4/1/2021
21.2.1 8,969 2/27/2021
21.2.0 2,880 2/25/2021
20.6.0 13,115 6/30/2020
20.4.0 10,690 4/30/2020
20.3.0 2,144 3/26/2020
19.9.0 7,260 9/30/2019
19.8.0 614 8/31/2019
19.7.0 694 7/31/2019
19.4.0 835 4/30/2019