Aspose.OMR
19.8.0
See the version list below for details.
dotnet add package Aspose.OMR --version 19.8.0
NuGet\Install-Package Aspose.OMR -Version 19.8.0
<PackageReference Include="Aspose.OMR" Version="19.8.0" />
paket add Aspose.OMR --version 19.8.0
#r "nuget: Aspose.OMR, 19.8.0"
// Install Aspose.OMR as a Cake Addin #addin nuget:?package=Aspose.OMR&version=19.8.0 // Install Aspose.OMR as a Cake Tool #tool nuget:?package=Aspose.OMR&version=19.8.0
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.
Free support for Aspose.OMR for .NET is provided on our support forum: https://forum.aspose.com/
Product | Versions 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. |
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: - Added a new element that allows users to enter handwritten text in a free-form manner. 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 |
---|---|---|
24.10.0 | 2,607 | 10/31/2024 |
24.9.0 | 5,812 | 9/12/2024 |
24.7.0 | 8,951 | 7/30/2024 |
24.6.0 | 7,053 | 6/18/2024 |
24.4.0 | 11,412 | 4/26/2024 |
24.3.0 | 6,316 | 3/7/2024 |
24.2.1 | 9,450 | 2/22/2024 |
24.2.0 | 1,672 | 2/1/2024 |
24.1.0 | 11,267 | 1/20/2024 |
23.12.0 | 10,334 | 12/20/2023 |
23.11.0 | 11,156 | 11/17/2023 |
23.10.0 | 10,112 | 10/26/2023 |
23.9.0 | 15,809 | 9/14/2023 |
23.8.0 | 17,143 | 8/31/2023 |
23.7.0 | 12,740 | 7/7/2023 |
23.6.1 | 12,267 | 6/30/2023 |
23.6.0 | 681 | 6/19/2023 |
23.5.0 | 7,128 | 5/23/2023 |
23.4.0 | 7,526 | 4/21/2023 |
23.3.1 | 10,863 | 3/28/2023 |
23.3.0 | 1,136 | 3/2/2023 |
23.2.0 | 9,419 | 2/22/2023 |
23.1.0 | 24,340 | 1/25/2023 |
22.12.1 | 9,329 | 12/23/2022 |
22.12.0 | 786 | 12/23/2022 |
22.11.1 | 9,406 | 11/23/2022 |
22.11.0 | 776 | 11/12/2022 |
22.10.0 | 756 | 11/1/2022 |
22.9.0 | 19,076 | 9/21/2022 |
22.8.0 | 22,361 | 8/19/2022 |
22.7.0 | 21,673 | 7/30/2022 |
22.6.0 | 13,036 | 6/18/2022 |
22.5.0 | 12,108 | 5/22/2022 |
22.4.0 | 15,119 | 4/19/2022 |
22.3.0 | 18,516 | 3/28/2022 |
22.2.0 | 10,028 | 2/28/2022 |
22.1.1 | 4,943 | 1/29/2022 |
22.1.0 | 586 | 1/29/2022 |
21.12.0 | 4,642 | 12/25/2021 |
21.11.0 | 8,857 | 11/29/2021 |
21.10.0 | 6,240 | 10/18/2021 |
21.9.0 | 460 | 10/6/2021 |
21.8.0 | 20,899 | 8/24/2021 |
21.7.0 | 7,935 | 7/24/2021 |
21.6.0 | 7,570 | 6/30/2021 |
21.5.0 | 4,075 | 6/1/2021 |
21.4.0 | 14,297 | 5/1/2021 |
21.3.0 | 7,513 | 4/1/2021 |
21.2.1 | 10,530 | 2/27/2021 |
21.2.0 | 2,927 | 2/25/2021 |
20.6.0 | 14,191 | 6/30/2020 |
20.4.0 | 10,839 | 4/30/2020 |
20.3.0 | 2,258 | 3/26/2020 |
19.9.0 | 7,802 | 9/30/2019 |
19.8.0 | 647 | 8/31/2019 |
19.7.0 | 723 | 7/31/2019 |
19.4.0 | 863 | 4/30/2019 |