Aspose.OMR-Cloud 19.7.0

Aspose.OMR Cloud SDK for .NET enables to perform Optical Mark Recognition (OMR) operations on human-marked data from within any cloud-based C#, ASP.NET & other .NET apps.

OMR Features

• Perform recognition of scanned photos and images for OMR operations.
• Ability to perform OMR on rotated & perspective (within 25 deg) photos.
• Extract & recognize human-marked data from scanned tests, exams, surveys etc.
• Supports the export of OMR results to CSV file format.
• Use textual markup to generate OMR templates, generate surveys and test sheets.
• Specify number of OMR based questions & answers in the template.
• Availability of GUI OMR editor as a cloud client.
• Provide JSON rules to perform OMR answer grading.
• Clip an area of interest from an image, save it as JPEG & perform OMR on it.
• Perform highly accurate optical mark recognition (OMR).

Save OMR Results As

CSV

Prform OMR On

JPEG, PNG, BMP, TIFF, PDF

Platform Independence

Aspose.OMR Cloud’s platform independent document manipulation API is a true REST API that can be used from any platform. You can use it with any language or platform that supports REST, be it the web, desktop, mobile, or the cloud. The API integrates with other cloud services to provide you the flexibility you require for processing documents. It is suitable for the most types of businesses, documents, or content.

Getting Started with Aspose.OMR Cloud SDK for .NET

You do not need to install anything to get started with Aspose.OMR Cloud SDK for .NET. Just create an account at Aspose for Cloud and get your application information.

Simply execute Install-Package Aspose.OMR-Cloud from the Package Manager Console in Visual Studio to fetch & reference Aspose.OMR assembly in your project. If you already have Aspose.OMR Cloud SDK for .NET and want to upgrade it, please execute Update-Package Aspose.OMR-Cloud to get the latest version.

Please check the GitHub Repository for other common usage scenarios.

Perform Optical Mark Recognition (OMR) on PNG Images

StorageApi storageApi = new StorageApi(APIKEY, APPSID);
OmrApi omrApi = new OmrApi(APIKEY, APPSID, BASEPATH);

string name = "template.png";

OMRFunctionParam param = new OMRFunctionParam();

param.FunctionParam = packedTemplateJson;

string versionId = "";
string storage = "";
storageApi.PutCreate(name, versionId, storage, System.IO.File.ReadAllBytes(pathToTheImage + name));

string folder = null;
Aspose.OMR.Model.OMRResponse response = omrApi.PostRunOmrTask(name, "CorrectTemplate", param, storage, folder);
FileInfo[] resultFiles = response.Payload.Result.ResponseFiles;

Limitations

• Recognition process works well with the bubbles which are at least 75% filled.
• Works on perspective (side viewed/out of focus) & rotated images under certain conditions, e.g., rotation angle within 25 degrees.
• OMR operation will show results only in text format.
• Performing OCR operation is not supported for now.

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