Optical Mark Recognition

REST APIs for Optical Mark Recognition.

Optical Mark Recognition (OMR) technology has revolutionized the way we process and analyze large amounts of data, particularly in the fields of education and surveys. OMR is a method of automatically extracting human-marked data from documents such as surveys, tests, and ballots. The technology uses special markers, such as checkboxes, bubbles, or fillable circles, that are read and interpreted by optical scanners. With the help of Aspose.OMR REST API, Optical Mark Recognition can now be implemented easily in software applications, making it a cost-effective and efficient way to collect and process large amounts of data.

OMR has revolutionized data collection and evaluation capabilities.

In this article, we are pleased to announce the new monthly release of Aspose.OMR Cloud 18.2. This release added new features to GUI OMR Editor (Cloud client) and have specifically made improvements to OMR.Kernel (Cloud). For complete information on what’s new and what’s fixed, please visit the release notes section.

New Features and Enhancements

OMR.Kernel (Cloud)

  • Fixed grid generation.
  • Fixed data uploading and downloading issues, improved speed. Fixed user’s messages.

GUI OMR Editor (Cloud client)

  1. Сhanges to support updated parameters for following OMR functions:
    • Template Correction
    • Template Generation
  2. The new window that allows uploading images to the cloud storage.
  3. Minor improvements and bug fixes.
  4. Updated API documentation.

You may visit the following API resources for getting started and working with the API:

  • Product homepage – An overview of Aspose.OMR Cloud APIs.
  • Product documentation – Detailed API documentation with code examples and details about other functional areas.
  • API reference – Quickly browse through all Aspose.OMR Cloud APIs and test them within the web-browser.
  • Product support forum – Free technical support for OMR queries and inquiries.

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