ABBYY enhances document processing platform with machine learning
ABBYY has enhanced FlexiCapture 12 to further improve the accuracy and speed of processing enterprise content. The document processing platform delivers a unified platform whether deployed on-premise, in the cloud, or called by developers using SDKs or RESTful APIs.
According to ABBYY, FlexiCapture meets the needs of organizations struggling to capture and transform unstructured content locked within documents, forms, and correspondence into meaningful structured data needed to fuel automation in the cloud or on-premise. These include invoices, claims, new account opening and customer onboarding documents, purchase orders, bills of lading and contracts, which is content that impacts revenue and the customer experience.
“Powered with ML and AI, ABBYY FlexiCapture is the most comprehensive, robust, and technologically advanced platform that supports organizations’ digital strategies,” commented Bruce Orcutt, SVP, product marketing, at ABBYY. “Customers and partners are able to process more transactions faster, with fewer errors, improve customer service, reduce costs and make smarter process decisions.”
ABBYY is also testing the application of natural language processing technology in FlexiCapture to extend capture capabilities to unstructured documents. NLP will make unstructured data easier to understand, analyze, and consume by providing structure through content classification and entity extraction. According to ABBYY, most unstructured data in companies goes unanalyzed and valuable information is “lost” and unable to be used because of the complexity of extracting valuable information. Through the use of ML and AI, internal ABBYY tests demonstrated that FlexiCapture 12.3 can achieve a more than 93% extraction accuracy rate that can feed data into robotic process automation, business process management, and content-driven process engines.
Additional product specifications and use case scenarios for FlexiCapture can be found at ABBYY FlexiCapture.