Free PHP OMR API to Identify Marked Areas & Extract Data
Open source PHP Library That Incorporate Optical Mark Recognition & Robust Image Processing Capabilities for Extracting Meaningful Data from Scanned Documents in PHP Applications
What is OMR PHP Librar?
Software engineers and programmers frequently run upon problems in the broad field of programming that call for creative fixes. One such field that has become well-known for its capacity to automate the information extraction process from scanned documents is optical mark recognition (OMR). Among the many tools available, Jansen Felipe's OMR PHP Library is a particularly strong and intuitive option. The OMR PHP Library's efficiency-focused architecture and improved algorithms help ensure dependable and quick processing. For applications handling high amounts of scanned documents, this is essential. An open source tool called PHP OMR Library was created to make it easier to include OMR features into PHP applications. OMR technology automates the process of extracting data from documents, usually surveys or answer sheets. It works by identifying user-defined marks, like checkboxes or filled bubbles, and converting them into machine-readable data.
The OMR PHP Library is made with efficiency in mind, with optimized algorithms that help ensure fast and dependable processing, which is essential for applications handling large volumes of scanned documents. It is notable for its easy integration capabilities, which allow developers to incorporate OMR functionality into their PHP applications with just a few lines of code, making it a viable option for both experienced developers and those who are new to OMR. Its open-source, has a large community, and has a rich feature set, making it a useful tool for projects that need precise and automated data extraction from marked documents.
Getting Started with OMR
The recommend way to install PHP OMR Library is using Composer. Please use the following command for a smooth installation.
Install OMR via Composer
$ composer require jansenfelipe/omr
Install OMR via GitHub
$ git clone https://github.com/jansenfelipe/omr.gitMark Recognition inside PHP Apps
The open source OMR library makes it easy for software developers to load various types of mark types and perform the recognition operations inside PHP applications. Performing mark recognition using the OMR PHP Library involves a series of steps, including installation, setting up a template, and processing images. First, define a template for your OMR form. This involves specifying the regions where marks are expected. You can use an image editor to identify these regions and mark them in your template image. Save the template as a PNG file. The following code example shows to how to apply to process OMR using the PHP library. The script will output results indicating which regions on the form were marked. You can customize the script to suit your specific requirements.
How to Perform OMR Operation on Images using PHP Library?
require 'vendor/autoload.php';
use JansenFelipe\OMR\Example\SimpleExample;
// Define paths
$templatePath = 'path/to/your/template.png';
$imagePath = 'path/to/your/filled/form.png';
// Instantiate the SimpleExample class
$example = new SimpleExample();
// Set paths
$example->setTemplatePath($templatePath);
$example->setImagePath($imagePath);
// Process the image
$result = $example->run();
// Output the results
var_dump($result);
Support for Various Mark Types
The library is crafted with simplicity in mind, making it accessible even to developers with minimal OMR experience. One of the library's strengths lies in its ability to handle diverse mark types. Whether its checkboxes, multiple-choice questions, or any other form of marked input, the OMR PHP Library provides a comprehensive solution for recognizing and interpreting different mark structures.
Image Processing & Customization Support
The Open source OMR library incorporates robust image processing capabilities, facilitating the extraction of meaningful data from scanned documents. This includes the identification of marked areas, ensuring accurate and reliable results. It supports different types of OMR forms, allowing software developers to tailor the solution to their specific needs. Software developers can customize the library to adapt it to the unique requirements of their projects. This includes the ability to define custom templates for OMR forms, providing a high degree of flexibility.