Users design forms or questionnaires using OMR software, specifying the locations of the OMR fields. These fields are typically in the form of bubbles or boxes that respondents will mark.

After designing the forms, they are printed and distributed to respondents. It's important that the printing process is accurate to ensure proper recognition by the OMR software.

Respondents mark their answers on the printed forms by filling in or shading the appropriate bubbles or boxes. The marking should be done neatly to avoid misinterpretation.

The filled forms are then scanned using an OMR scanner. These scanners use optical sensors to detect the marked areas on the paper. High-quality scanners are crucial for accurate data capture.

The scanned images are processed by the OMR software, which uses image processing algorithms to convert the physical markings into digital data. This involves recognizing the marked areas and converting them into binary data.

The OMR software extracts and interprets the data from the digital images. It identifies the marked regions and translates them into machine-readable data. Each marked field corresponds to a specific response or piece of information.

The OMR software typically includes validation mechanisms to ensure the accuracy of the captured data. This may involve checking for errors, such as multiple marks in a single field or missing marks.

The final step involves generating reports or exporting the data in a usable format. The OMR software can provide statistical analysis, summaries, or raw data for further processing.

Quality of Forms: The design and print quality of the forms impact the accuracy of data capture.

Scanner Quality: The scanner must be capable of capturing high-quality images to ensure accurate recognition.

Marking Accuracy: Respondents must mark the fields accurately to avoid misinterpretation.