Free .NET OMR API to Scan Images & Extract Data

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

In the ever-evolving landscape of software development, the need for efficient and accurate data processing has become paramount. Optical Mark Recognition (OMR) is a technology that has gained significant traction for its ability to swiftly capture and interpret marked data from documents & images. Among the plethora of tools available, the OMR C# Library by manharsharma007 has emerged as a noteworthy solution, offering developers a robust and user-friendly platform for integrating OMR capabilities into their applications.

Before diving into the specifics of the OMR C# Library, let's briefly explore the concept of Optical Mark Recognition. OMR involves the scanning of documents, typically forms or surveys that contain predefined spaces or bubbles for users to mark. These markings are then interpreted by OMR software, converting them into machine-readable data. OMR finds applications in various domains, including education, surveys, and data collection. The OMR C# Library is a useful project that aims to provide a flexible and efficient solution for implementing Optical Mark Recognition in C# applications. As an open-source initiative, it encourages collaboration and contributions from the developer community to enhance its capabilities.

The OMR C# Library, hosted on GitHub by manharsharma007, stands out for its simplicity, flexibility, and effectiveness. There are several important features part of the library that are noteworthy choice for software developers and programmers, such as accurate Mark Detection, customizable configurations options, Multiple Document Formats support, easy 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. With its feature-rich design and commitment to open-source principles, it stands as a testament to the collaborative spirit of the developer community.

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.