Intelligent Document Processing (IDP) systems enable organizations to transform unstructured or semi-structured data into a structured format, so that it can be used for analysis. To achieve this, IDP systems use a combination of OCR, machine learning, natural language processing, and computer vision. They apply these tools and techniques to interpret unstructured and semi-structured data in documents in various formats, such as PDFs, word documents, emails, and images. This enables the IDP system to not only identify and classify the document type, but also extract valuable data from each document.
With an IDP system in place, you don’t have to spend hours manually entering data from documents as the tool automatically processes documents, validates data, and integrates it into your business application or database for you. This eliminates the need to manually sift through documents, which in turn reduces processing times and costs, increasing operational efficiency. It also improves data accuracy, enabling you to make better-informed business decisions.
In this article, we’ll explore the top intelligent document processing systems designed to help you capture, classify, and extract data from your documents. We’ll highlight the key use cases and features of each solution, including document authentication and classification, OCR and natural language processing, data extraction, third-party integrations, and AI capabilities.