ABOUT OUR MODULES
Identify and auto-classify large quantities of document types with confidence to simplify the business process.
Integratable with email, file servers, cloud locations, on-premise systems and more with customizable folder management and rules to manage document queues.
Human in the Loop (HITL) approach captures user feedback to keep models relevant and accurate.
Easily train Document AI models using your own documents and samples.
Maintain peak efficiency and remove manual process bottlenecks to manage, categorize and verify data.
Focus more time acting on the information than compiling it by turning documents into usable data.
Increase speed and cost efficiency of existing business processes dependent on unstructured physical documents.
Upload text from digitally filled or manually-scanned handwritten documents.
Draw out data types from documents such as information from text boxes, key-value pairs, QR codes, check boxes, signatures and table information.
Increase efficiency beyond simple Optical Character Recognition (OCR) by extracting relationships, structure and complex data elements from documents.