Uses[edit]
The system could identify various labels or landmarks, allowing users to learn about such items without needing a text-based search. The system could identify products barcodes or labels that allow users to search for similar products and prices, and save codes for future reference, similar to the failed CueCat of the late '90s, but with more functionality.[2][not in citation given] The system also recognized printed text and use optical character recognition (OCR) to produce a text snippet, and in some cases even translate the snippet into another language.[2]