WebOMR

WebOMR is a web-based platform designed for Optical Mark Recognition (OMR) processing. It allows users to upload scanned documents, such as multiple-choice tests or surveys, and have the marked responses automatically interpreted and scored. The system typically works by identifying predefined areas on a template, recognizing when a mark is present within those areas, and then associating that mark with a specific answer choice.

The core functionality of WebOMR involves image processing and pattern recognition. Users first create or upload a template that defines the layout of the OMR form, including the positions of answer bubbles or checkboxes. Once scanned documents are uploaded, WebOMR aligns them with the template and analyzes the marked regions. This processing can include steps like binarization, noise reduction, and geometric correction to ensure accurate detection of marks.

WebOMR offers several advantages, including speed and efficiency in grading large volumes of documents compared to manual scoring. It can also reduce human error. The platform often provides reporting features, allowing users to view aggregate results, individual scores, and statistics. Security and data privacy are also considerations for such platforms, especially when handling sensitive information like student test results. WebOMR is typically used in educational institutions, research organizations, and businesses that require automated data collection from forms.