![]() ![]() AI enables the robots to learn from the human behavior or input enabling greater proficiency to manage similar exceptions in the future. Once again, if there’s a discrepancy, such as a difference between the customer’s name on the ID document and on the account application form, it can be referred to a human. The RPA OCR solution could verify a customer’s identity from their identity card or driver’s license. In the event of an irregularity, the robot will alert a human to intervene.Īnother use case could be Know Your Customer checks in financial services. Text analytics can then be utilized to categorize the data, after which, the automation will kick-in and update the CRM application. The verified or updated data will then be submitted back into the system in order to complete the automation.Ī practical example of an RPA OCR use case might be extracting information from a scanned customer application form and inserting it into a CRM system. Since advanced OCR can pinpoint ‘suspicious data’, any data that should be verified will be sent to a human via a call out screen through an attended process automation and the human will check and, if necessary, correct the information. A sophisticated OCR solution can be fully integrated into the workflow of complex business process automations, seamlessly transitioning between fully robotic and human-supported input as needed. ![]() An OCR engine working alongside and within the RPA platform can automate the time-intensive tasks associated with manually processing these invoices into readable data. Even in today’s digital world, most companies still process large volumes of documents such as invoices in hard formats with no digital copies available. One of the major barriers to this goal is the expense and complexity of storing and analyzing scanned documents. Most mid-sized and large enterprises want to automate and digitize their business processes as well as take advantage of big data. This capability enables organizations to automate more processes and expand their automation projects. Advanced RPA OCR could be applied to read the image and extract the necessary text from the screen image or simulation of the application. One example would be using surface connectivity to automate applications off remote machines. The second involves more complex automation capabilities. The data can then be transferred to any enterprise application such as CRM, ERP or legacy system. The solution reads and extracts information from a scanned document like an invoice. 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. There are two broad categories of OCR business cases within the RPA realm. The result is accurate, fast and high-quality textual output, enabling robots to automate more tasks, while reducing operating and training costs. OCR for RPA combined with NICE’s advanced Shape Analysis technology makes this magic happen. Not only is this pulled information read, but actions can be performed as well. ![]() NICE’s automation tools, for example, include surface connectivity capabilities, which give our RPA solution the ability to pull information in from images, PDFs, and remote applications. 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. Their ability to accurately decipher handwritten text is also rapidly improving. OCR has been around in various forms for more than 100 years, but unlike the earlier versions of the technology that need to be trained one font at a time with images of each character, today’s artificial intelligence (AI) powered OCR solutions can recognize and capture data from machine printed documents with high levels of accuracy. It converts typed, handwritten or printed text into machine-encoded text – this data can then be used in electronic business processes without someone manually capturing it. In short, OCR is a technology used to extract text from images and documents via mechanical or electronic means. Optical character recognition (OCR) is a key feature of any good robotic process automation (RPA) solution. What is RPA OCR? What is optical character recognition (OCR) and why is it important for RPA? ![]()
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