Aspose.OMR for Java
Java Library to Analyze OMR Forms & Extract Data
A Powerful Java OMR API for Accurate & Reliable Optical Mark Recognition. It's Designed to Identifies & Analyze OMR Forms, Extract Valuable Data via Java Code.
In the ever-evolving landscape of software development, data extraction and analysis have become pivotal for various related industries. Aspose.OMR for Java emerges as a powerful solution, offering a robust Optical Mark Recognition (OMR) library that simplifies the complex task of processing scanned images or documents. It is a cutting-edge library designed to facilitate OMR functionality seamlessly within Java applications. Whether it's processing surveys, exams, or any other form of marked documents, this library stands out for its versatility and ease of integration.
Aspose.OMR for Java provides a rich set of features for software developers looking to implement OMR solutions. From template generation to accurate data extraction and multi-language support, the library offers a comprehensive toolkit. There are several important features part of the library, such as create customizable OMR templates, read and extract data from scanned images or documents, comprehensive documentation with support and recognition of various OMR elements such as checkboxes, grids, and text areas. The Java library supports multiple languages, allowing developers to implement OMR solutions for a diverse range of users.
Aspose.OMR for Java has provided seamless integrates into Java applications, facilitating software developers with a flexible and efficient solution for OMR implementation. It stands tall as a robust and feature-rich OMR library, empowering Java developers to implement efficient and accurate data capture solutions. With its flexible integration, comprehensive capabilities, and commitment to accuracy, Aspose.OMR for Java has rightfully earned its place as a go-to tool for anyone seeking to incorporate OMR functionality into their applications.
At A Glance
An overview of Aspose.OMR for Java features.
- Apply OMR
- Insert OMR Capabilities
- Recognize Mark
- Convet Marks of text
- Recognized Image Marks
- Searching PDF
- Auto Correction of Images
- Size adjustment
- Save to browser
- Extract Text
- Multi-threading Support
- Recognize rotated Image
- Rotation Adjustment
- PDF to Images
- Color Adjustment
- Save output CSV
- Save output XML
- Rotated images Support
- Batch Recognition
- Built-in Spell Checker
- Batch Scanner
- PDF to Excel
- Form Designer
API mainly supports Images and PDF formats and recognition results in the most popular data storage formats..
Aspose.OMR for Java can work with any Java based programming language.
- Java Runtime.
Getting Started with Aspose.OMR for Java
The recommend way to use Aspose.OMR for Java is via Maven Repository. Specify Aspose Maven Repository location by adding the following lines to your Maven pom.xml configuration file.
Maven repository for Aspose.OMR for Java
//First you need to specify Aspose Repository configuration / location in your Maven pom.xml as follows:
<name>Aspose Java API</name>
//Define Aspose.PDF for Java API Dependency
You can download the library directly from Aspose.OMR product page
Add OMR Capabilities inside Java Apps
Aspose.OMR for Java has provided several important features for working with OMR file formats inside Java applications. The library supports the recognition of various OMR elements such as checkboxes, grids, and text areas. This comprehensive coverage makes it suitable for a wide array of applications, from simple surveys to complex assessments. It supports the loading and processing of OMR images enabling users to load an image, process it, and extract valuable data. The following example shows how to load an existing image and extract data from it.
How to Load an Existing Image and Load Data from It via Java API?
// Load an OMR image
OmrImage omrImage = OmrImage.load("sample_image.png");
// Process the image
RecognitionResult result = omrEngine.recognizeImage(omrImage, template);
// Extract data from the result
OmrPage omrPage = result.getPage(0);
Perfect Data Extraction via Java API
Aspose.OMR for Java employs advanced algorithms to accurately extract data from scanned images or documents. This ensures precision in reading marked bubbles, checkboxes, and other OMR elements, minimizing errors in data interpretation. Software developers can access individual elements on the page and retrieve the marked values with just a couple of lines of Java code. The library supports multiple languages, ensuring flexibility for developers catering to diverse user bases. The following example shows how software developers can access OMR page and retrieve marked values inside Java applications.
Access OMR Page and Retrieve Marked Values inside Java Apps
// Access grid on the page
OmrGrid omrGrid = omrPage.get(0);
// Retrieve marked values from the grid
> markedValues = omrGrid.getMarkedValues();
Create OMR Forms/Templates via Java
Aspose.OMR for Java makes it easy for software developers to create an OMR form such as a customer satisfaction survey or answer sheet with just a couple of lines of Java code. The library enables Software developers to define the layout of their forms, including the placement of OMR elements and any associated text or graphics, customize page size, select font, font colors and more. This flexibility ensures that the library can adapt to diverse use cases. The following example shows how to Configure form layout and add images to it inside Java applications.
How to Configure Form Layout & Add Image to OMR using Java API?
OmrEngine engine = new OmrEngine();
// Configure form layout
GlobalPageSettings pageSettings = new GlobalPageSettings();
pageSettings.PaperSize = PaperSize.Letter;
// Add images
InputStream logoStream = ReadFile("sources/logo.png");
ImageCollection images = new ImageCollection();
// Generate form
GenerationResult res = engine.generateTemplate("source.txt", images, pageSettings);
Flexibility and Integration
Aspose.OMR for Java seamlessly integrates into Java applications, providing software developers with a flexible and efficient solution for OMR implementation. Its ease of integration ensures that software developers can enhance their existing systems without a steep learning curve. The library comes with thorough documentation and dedicated support, making it easy for users to navigate the library's features and troubleshoot any issues. This commitment to user assistance ensures a smooth development process.