Aspose.OMR
22.5.0
See the version list below for details.
dotnet add package Aspose.OMR --version 22.5.0
NuGet\Install-Package Aspose.OMR -Version 22.5.0
<PackageReference Include="Aspose.OMR" Version="22.5.0" />
paket add Aspose.OMR --version 22.5.0
#r "nuget: Aspose.OMR, 22.5.0"
// Install Aspose.OMR as a Cake Addin #addin nuget:?package=Aspose.OMR&version=22.5.0 // Install Aspose.OMR as a Cake Tool #tool nuget:?package=Aspose.OMR&version=22.5.0
Return OMR Image Recognition Results via .NET API
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 v22.5.0
Return Image Recognition Results
The result of OMR image recognition can be received as following:
CSV
format as an array of bytesCSV
format as memory stream (System.IO.MemoryStream
) objectJSON
format as an array of bytesJSON
format as memory stream (System.IO.MemoryStream
) objectXML
format as an array of bytesXML
format as memory stream (System.IO.MemoryStream
) object
Load OMR Form Images from Memory
Images used in an OMR form can now be loaded not only from the file system, but also from memory through a special Aspose.OMR.Api.ImageCollection
object.
OMR Element Rounded Borders
Added support for rounded OMR element borders.
Text markup
?container=
?block=
border=square
?content=SQUARE
&block
?block=
border=rounded
?content=ROUND
&block
&container
JSON Markup
{
"element_type": "Template",
"children": [
{
"element_type": "Page",
"children": [
{
"element_type": "Container",
"name": "Example",
"children": [
{
"element_type": "Block",
"border": "square",
"children": [
{
"element_type": "Content",
"name": "SQUARE"
}
]
},
{
"element_type": "Block",
"border": "rounded",
"children": [
{
"element_type": "Content",
"name": "ROUND"
}
]
}
]
}
]
}
]
}
Composite Grid Recognition
Only one bubble per row or column is allowed to be marked. The row or column selection depends on the the orientation of the element.
Improved Layout of ScoreGroup & CustomAnswerSheet
This release of API offers an improved layout of ScoreGroup
and CustomAnswerSheet
elements.
For better readability and presentation the ScoreGroup
content is typically organized in a tabular format.
{
"element_type": "ScoreGroup",
"children": [
/*** put one or more ScoreQuestion elements here */
]
}
For a complete list of features, enhancements, and bug fixes in this release please visit, Aspose.OMR for .NET 22.5 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 | Versions 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. |
-
.NETFramework 4.0
- No dependencies.
-
.NETStandard 2.0
- Microsoft.Extensions.DependencyModel (>= 2.0.4)
- System.Diagnostics.PerformanceCounter (>= 4.5.0)
- System.Drawing.Common (>= 5.0.2)
- System.Security.Cryptography.Pkcs (>= 4.7.0)
- System.Security.Permissions (>= 4.5.0)
- System.Text.Encoding.CodePages (>= 5.0.0)
-
net5.0
- Microsoft.Extensions.DependencyModel (>= 2.0.4)
- System.Diagnostics.PerformanceCounter (>= 4.5.0)
- System.Drawing.Common (>= 5.0.2)
- System.Security.Cryptography.Pkcs (>= 4.7.0)
- System.Security.Permissions (>= 4.5.0)
- System.Text.Encoding.CodePages (>= 5.0.0)
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 | 1,944 | 10/31/2024 |
24.9.0 | 5,709 | 9/12/2024 |
24.7.0 | 8,929 | 7/30/2024 |
24.6.0 | 7,029 | 6/18/2024 |
24.4.0 | 11,347 | 4/26/2024 |
24.3.0 | 6,228 | 3/7/2024 |
24.2.1 | 9,416 | 2/22/2024 |
24.2.0 | 1,671 | 2/1/2024 |
24.1.0 | 11,092 | 1/20/2024 |
23.12.0 | 10,313 | 12/20/2023 |
23.11.0 | 11,074 | 11/17/2023 |
23.10.0 | 10,096 | 10/26/2023 |
23.9.0 | 15,688 | 9/14/2023 |
23.8.0 | 17,119 | 8/31/2023 |
23.7.0 | 12,699 | 7/7/2023 |
23.6.1 | 12,220 | 6/30/2023 |
23.6.0 | 680 | 6/19/2023 |
23.5.0 | 7,100 | 5/23/2023 |
23.4.0 | 7,525 | 4/21/2023 |
23.3.1 | 10,839 | 3/28/2023 |
23.3.0 | 1,135 | 3/2/2023 |
23.2.0 | 9,417 | 2/22/2023 |
23.1.0 | 24,263 | 1/25/2023 |
22.12.1 | 9,326 | 12/23/2022 |
22.12.0 | 785 | 12/23/2022 |
22.11.1 | 9,405 | 11/23/2022 |
22.11.0 | 775 | 11/12/2022 |
22.10.0 | 755 | 11/1/2022 |
22.9.0 | 19,062 | 9/21/2022 |
22.8.0 | 22,258 | 8/19/2022 |
22.7.0 | 21,644 | 7/30/2022 |
22.6.0 | 13,026 | 6/18/2022 |
22.5.0 | 12,107 | 5/22/2022 |
22.4.0 | 15,071 | 4/19/2022 |
22.3.0 | 18,515 | 3/28/2022 |
22.2.0 | 10,014 | 2/28/2022 |
22.1.1 | 4,942 | 1/29/2022 |
22.1.0 | 585 | 1/29/2022 |
21.12.0 | 4,635 | 12/25/2021 |
21.11.0 | 8,847 | 11/29/2021 |
21.10.0 | 6,238 | 10/18/2021 |
21.9.0 | 459 | 10/6/2021 |
21.8.0 | 20,886 | 8/24/2021 |
21.7.0 | 7,934 | 7/24/2021 |
21.6.0 | 7,569 | 6/30/2021 |
21.5.0 | 4,074 | 6/1/2021 |
21.4.0 | 14,294 | 5/1/2021 |
21.3.0 | 7,511 | 4/1/2021 |
21.2.1 | 10,529 | 2/27/2021 |
21.2.0 | 2,926 | 2/25/2021 |
20.6.0 | 14,180 | 6/30/2020 |
20.4.0 | 10,838 | 4/30/2020 |
20.3.0 | 2,256 | 3/26/2020 |
19.9.0 | 7,798 | 9/30/2019 |
19.8.0 | 646 | 8/31/2019 |
19.7.0 | 722 | 7/31/2019 |
19.4.0 | 862 | 4/30/2019 |