[1] Data is captured visually from barcodes, text, IDs and other objects - often from many sources simultaneously - before being converted and prepared for digital use, typically by artificial intelligence-powered software.
Smart data capture is designed to be repeatable and scalable to reduce low-level manual tasks and eliminate human error.
To achieve this goal, smart data capture solutions are often made available using specialist software installed on commodity hardware such as smartphones.
[5] Optical character recognition applications are typically concerned with the actual data capture process; they are intended to faithfully reproduce text, words, letters and symbols from a printed document.
This may include: Historically, PriceWaterhouseCoopers described smart data capture as a combination of robotic process automation and intelligent character recognition.