Traditionally the most expensive errors to correct. Consists of those characters that a recognition engine is convinced it got right but that are in fact wrong. High levels of 'accuracy' reported by an OCR engine can mean that there are many substitutions. The alternative is to set tolerances very high -- then the engine will often report low accuracy -- but there may be many correctly interpreted characters which are labelled wrong.