What is one of the limitations of using OCR technology?

One of the key limitations of Optical Character Recognition (OCR) technology is its potential to misinterpret characters, which heavily relies on the quality of the input documents. If a document is poorly scanned, has low resolution, or contains noise (such as stains or poor lighting), the OCR software may struggle to accurately recognize and convert the text into machine-readable formats. This misinterpretation can lead to errors in data extraction and processing, ultimately undermining the reliability of the information being captured. Ensuring high-quality input is crucial for maximizing the effectiveness and accuracy of OCR applications.

Regarding the other choices, while OCR can indeed struggle with barcodes, there are specialized barcode recognition technologies designed specifically for that purpose. Additionally, the speed of OCR processing can vary widely based on factors such as the complexity of the document, making the comparative speed factor not universally applicable. Lastly, while OCR primarily operates on images (scanned documents), it can also be used with PDF files that contain image formats, thus not being limited only to images alone.