Free .NET OMR API to Scan Images & Extract Data

C# .NET Open Source Optical Mark Recognition (OMR) Library for Accurate Mark Detection, Scan Images, Extract Data & Sustomizable Configurations.

What is OMR Library?

Accurate and efficient data processing has become critical in the constantly changing field of software development. The capacity of optical mark recognition (OMR) technology to quickly extract and decipher marked data from papers and photos has led to its considerable popularity. The OMR C# Library by manharsharma007 has stood out among the many other tools available as a notable solution, providing developers with a stable and intuitive foundation for incorporating OMR features into their applications.

Let's take a quick look at the idea of optical mark recognition before getting into the details of the OMR C# Library. OMR entails scanning documents, usually surveys or forms that have designated areas or bubbles for users to mark. OMR software then interprets these markers and transforms them into data that can be read by a machine. OMR is used in many fields, such as data collection, surveys, and education. One helpful project that attempts to offer a versatile and effective way to perform optical mark recognition in C# applications is the OMR C# Library. Being an open-source project, it promotes cooperation and input from the developer community to improve its functionality.

The OMR C# Library, which is hosted by manharsharma007 on GitHub, is notable for its ease of use, adaptability, and efficiency. The library has a number of significant features that make it a notable option for programmers and software developers, including precise mark detection, adaptable configuration choices, compatibility for many document formats, simple integration, and many more. The Open Source OMR C# Library offers a valuable resource for developers seeking a robust and customizable solution for Optical Mark Recognition in their C# applications.

At A Glance

An overview of OMR features.

Features Overview

Retrieve Receipts Data
Add OMR Capabilities
Recognize Marks Image
Convet images of text
Recognized Font text
Create OMR apps
Save Data to browser
Extract Text
Multi Languages Support

OMR

OMR supports popular image file formats listed below.

Reader

PNG, JPEG, BMP, TIFF, TGA, DICOM

Writer

PNG, JPEG, BMP, TIFF

OMR

Platform Independence

OMR can work with any .NET programming language

.NET Framework 4.8

OMR

Getting Started with OMR

The recommend way to install OMR is using NuGet. Please use the following command for a smooth installation.

Install OMR via NuGet

 # Using NuGet Package Manager

Install-Package OMR.Library

Install OMR via GitHub

 git clone https://github.com/manharsharma007/OMR.git

Perform Optical Mark Detection via C# API

One of the primary concerns in OMR is the accuracy of mark detection. The open source OMR C# Library excels in this aspect, providing reliable recognition of marked areas on scanned documents. This accuracy is crucial for ensuring the integrity of data collected through OMR processes. The library has included support for various document formats commonly used for OMR operations, including PDFs and image files. This versatility ensures compatibility with a wide range of input sources, accommodating the diverse needs of developers and users. The following example shows how software developers can perform accurate mark detection operation using C# code.

How to Perform Accurate Mark Detection inside C# Applications?

using OMR.Library;

OMRConfig config = new OMRConfig
{
    Sensitivity = 0.8, // Adjust according to your needs
    Threshold = 0.5    // Fine-tune as necessary
};

// You may add more configuration settings as needed
string filePath = "path/to/your/document.pdf"; // Replace with your document path

OMRProcessor processor = new OMRProcessor();
OMRResult result = processor.ProcessDocument(filePath, config);

// Access the result to retrieve detected marks
List detectedMarks = result.DetectedMarks;

// You can now work with the detected marks as needed

foreach (OMRMark mark in detectedMarks)
{
    // Access mark information such as coordinates, type, etc.
    int xCoordinate = mark.XCoordinate;
    int yCoordinate = mark.YCoordinate;
    OMRMarkType markType = mark.MarkType;

    // Perform actions based on the detected marks
    // (e.g., record user choices, analyze responses, etc.)
}

Customization & Multiple Marking Styles Support

Software Developers can customize the OMR processing parameters to fine-tune the library according to their specific requirements. This level of flexibility ensures adaptability to diverse OMR scenarios. The library supports various marking styles commonly found in OMR forms. This includes checkboxes, Moreover, bubbles, and other types of markings, making it versatile for different document types. Whether you're working on a small project or a large-scale application, the OMR C# Library is built to scale. It efficiently handles the processing of scanned documents, making it suitable for various use cases.

Create OMR Templates via C# API

The open source OMR library makes it easy for software developers to generate OMR templates inside their own C# applications. The library support easy creation of form scanning templates. There are several important features provided by the library while create new templates, such as auto image correction, size adjustments, rotation adjustment support, color adjustment and many more.