Singer is a component that companies can use to transform handwritten or matrix printed text and codes into text objects (e.g. JSON) that can be sent to third party receivers. This component is able to do such a transformation because of its AI capabilities. Based on training data, and feedback of operational scanning, Singer is able to learn and identify line patterns as text.
Singer focuses on short pieces of information (like codes, dates, numbers,…). It is not intended to read entire paragraphs of text. It is therefore extremely well suited as an element in the digitalization chain. At first, the component will cut out the image blocks that need to be scanned. As a next step, these blocks are sent to the detection algorithm, which in turn will respond with the interpreted text.
Since Singer is an AI solution, it needs to be retrained. New patterns will pass through the system, and by means of a validation/feedback system, these new patterns and labels will be ingested into the Singer learning algorithm. When used via our SaaS offering, this quality monitoring will be provided out of the box.