It is a widespread technology to recognize text inside images, such as scanned documents and photos. OCR technology is used to convert virtually any kind of images containing written text (typed, handwritten or printed) into machine-readable text data.
OCR in RPA enables organizations to automate a greater volume of their operational business processes, especially those that still depend heavily on scanned paperwork such as customer-completed forms. automation tools, for example, include surface connectivity capabilities, which give RPA solution the ability to pull information in from images, PDFs, and remote applications. Not only is this pulled information read, but actions can be performed as well. The result are accurate, fast and high-quality textual output, enabling robots to automate more tasks, while reducing operating and training costs.
There are two broad categories of OCR business cases within the RPA realm. The first of these is about converting unstructured data from scanned documents into structured, digitized data, which can in turn feed into digital business processes. The solution reads and extracts information from a scanned document like an invoice. The data can then be transferred to any enterprise application such as CRM, ERP or legacy system.
The second involves more complex automation capabilities. One example would be using surface connectivity to automate applications off remote machines. Advanced RPA OCR could be applied to read the image and extract the necessary text from the screen image or simulation of the application. This capability enables organizations to automate more processes and expand their automation projects.