![]() What technology are you currently using? How is your company architecture structured from a technical standpoint? How is your company organized? What about your employee and management structure? What processes would you want to automation, and how do you measure them? You want to make sure that you have at least the basic answers to these questions: To reduce bottlenecks and confusion, you first want to asses how ready your organization is for automation. Getting started with OCR and automation takes a few steps, but not because of implementation. From individual use to small businesses to giant mega-corporations, Optical Character Recognition has a very definite place in today's digital world. On the outset, it can sound like something simple, but its applications are far reaching. For businesses, this makes paper-to-digital data entry much quicker. For example, if you've ever scanned a receipt into your phone, you've used this technology. OCR automates the process of converting unstructured formats into machine-readable, searchable text. This is where an OCR program comes into play. These documents are unable to be compiled or searched without someone to transfer them to a more structured format, such as text files. Hand-written content, printed documents, emails, digital images, and PDFs are all examples of these formats. Yet, while data is one of the largest drives of the digital transformation, over 80% of all business data is embedded in unstructured formats. ![]() IDC (International Data Corporation) predicts worldwide data will exceed 175 zettabytes by 2025.
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