In many industries, including financial services, banking, healthcare, legal, and real estate, automating document handling is an essential part of the business and customer service. In addition, strict compliance regulations make it necessary for businesses to handle sensitive documents, especially customer data, properly. Documents can come in a variety of formats, including digital forms or scanned documents (either PDF or images), and can include typed, handwritten, or embedded forms and tables. Manually extracting data and insight from these documents can be error-prone, expensive, time-consuming, and not scalable to a high volume of documents.
Optical character recognition (OCR) technology for recognizing typed characters has been around for years. Many companies manually extract data from scanned documents like PDFs, images, tables, and forms, or through simple OCR software that requires manual configuration, which often requires reconfiguration when the form changes.
The digital document is often a scan or image of a document,

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