13 May The OCR solution for your RPA initiatives
How adaptable optical character recognition tools can improve your RPA initiative and make a massive difference in the way you handle your documents.
Just a few years ago, Robotic Process Automation (RPA) might have sounded like something out of a science fiction novel. On the other hand, RPA is a reality, which is becoming more and more relevant to the day-to-day operations of many businesses seeking to automate their workflow.
Why are businesses through all the effort, you ask? Because the end result is absolutely remarkable, as businesses can benefit from digital, streamlined, efficient and manageable professional environment that will dramatically foster their growth and ability to excel.
Automated software robots are now revolutionizing the way people and businesses go about their work, and they are providing huge advantages in many circumstances, due to innovative RPA technologies that replace menial, mundane tasks that are bound to be obsolete, due to the high cost of human labor, both in terms of money and time.
RPA solutions are also less vulnerable to mistakes since manual data entry is often plagued by human errors, due to the sheer amount of data involved in such processes.
Thus, robotic process automation is a great way to replace menial human tasks with modern digital solutions that offer a definite improvement in terms of productivity and cost-effectiveness.
Due to new governmental regulations and to the increasing digitalization of business databases, it is more common for businesses of all sizes and scales to seek for ways to render their information into well-organized digital files, which are easy to trace and cleverly organized for improved accessibility.
By converting information to digital formats, you’d be likely turning old data that are just sitting there, collecting dust, into viable resources for your business. In addition to that, tracing, analyzing and processing paper formats is much more time-consuming and expensive, when compared to digital processing.
In other words, by converting information to digital data, organizations will also be able to innovate businesses, while cutting expenses and processing times. Keeping information organized digitally is also a great way to comply with data privacy regulations, and enhance information safety.
Since most processes within the organization rely heavily on documentation, the success of most RPA initiatives is strongly dependent on their ability to handle and get meaning out of documentation in order to support automation.
Why can RPA initiatives leverage OCR solutions?
RPA tools are essentially great at solving the problem of time-consuming and expensive human document processing – but who is going to help RPA solutions to function properly in document-based processes?
Today, the vast majority of processes are still document-based, and even robotic technologies and AI implementations need to be able to cope with documents correctly and extract data present within such documents in the most accurate way possible.
With OCR (Optical Character Recognition) solutions, it is possible to improve the performance of RPA initiatives dramatically. This is a great way to allow robots to better analyze documents and capture relevant information from within the documents.
However, not all OCR solutions are created equal, and some of the most basic systems are often doomed to fail because they are not able to cope with a diverse range of document layouts.
One of the biggest challenges of many RPA initiatives is indeed to extract information from documents of different nature.
The main problem with most documents is that they are unstructured. What does this mean? There might be a wide variety of physical documents to analyze, and they are all quite different in nature.
Why do standard OCR solutions fail and how can they better contribute your RPA initiatives?
Standard OCR solutions are typically able to work properly on structure business documents. For instance, imagine you run a business with some specific product registration codes, or you send out certain specific forms to your customers.
In this case, a standard OCR system would know exactly what type of forms/documents to expect, therefore it would be easier for it to recognize the relevant data, and discern them from layout elements within the document itself.
But what happens if you wish to analyze other types of documents outside of the usual range or that are generated outside your organization? This is when things could become quite difficult for automated solutions with a standardized approach.
Many automated solutions aren’t built with the ability to distinguish the relevant data from such a wide variety of sources and formats, and this is the reason why flexible OCR solutions are gaining momentum.
Through adaptable OCR tools, robots are able to analyze documents from a wide variety of sources, and even better, keep learning from each analysis.
This is exactly the kind of approach that we adopted at Doc Digitizer. The core concept is to essentially teach machines how to read tedious documents that would be too time-consuming for humans to process.
As you know, reading, categorizing and analyzing documents to extract data, can require significant resources, personnel and time, which could be used in much more productive ways to grow your business.
With Doc Digitizer, we aim to create a machine-learning driven solution that will stand out as a great non-standard OCR solution using semantic analysis to support data analysis and extraction.
Meaning that Doc Digitizer does not simply analyze documents based on a template or on some predetermined parameters. On the other hand, it is more flexible, quite literally learning from previous data and constantly adapting, to provide continually improved performances over time independent of format, layout, content or language.
Why Doc Digitizer?
Doc Digitizer is the perfect OCR solution for businesses seeking to support and fully enable their RPA initiatives with state-of-the-art semantic OCR processing, which will help minimize human intervention, reduce human labor spent on information processing and improve automation in exciting new ways, that will lead to the further growth of your business.
Find out more and feel free to browse through our website for further details and information: