In 1957, Russell Kirsch scanned the first image to a computer and helped jumpstart the information technology revolution. From that first scan came faxes, packaging barcodes, desktop publishing, digital photography, CAT scans and a plethora of other imaging technologies, many of which changed the way people worked.
By the 1990’s, as resolution improved, most businesses were utilizing scanners to turn their photos and physical documents into digital copies, but documents still needed to be manually handled, sorted and filed once they were scanned. This time-consuming, tedious process, limited the utility of the technology. Organizations were already looking for simpler, more productive ways to digitize and manage their documents.
First introduced as a tool for the visually impaired, Optical Character Recognition (OCR) took the written word and converted it to a digital form, with the computer recognizing text and even being able to read aloud. Over the years this technology has adapted and grown, and can now complete many common business practices, including data entry, automatic recognition and information extraction from documents. Many organizations use this technology to index and sort information into databases and hierarchies and to support sophisticated retention schedules, freeing up their employees’ time for more strategic initiatives.
While OCR technology has enabled many organizations to work more efficiently, it is not without its own set of problems. As business and the digital world continue to evolve, the software needed to keep up with these changes must provide even more adaptability.
In a recent AIIM survey, 51% of organizations said their biggest driver in choosing a scanning and data capture solutions was to improve their search and sharing capabilities. More so than ever, organizations are looking for ways to make collaboration and information accessibility easier for their teams. Employees need to be able to find the documents and data they need, when they need them. Unfortunately, with traditional data capture solutions, this remains challenging.
Businesses are struggling with their current data capture solutions for a variety of reasons, including:
In today’s information economy, organizations need a solution that will continue to adapt over time. While the future of technology may not be crystal clear, we see how the Internet of Things, Big Data, Bring Your Own Device (BYOD) policies and more are changing not just the way that we work, but where we work. Organizations that simplify, standardize and automate their document capture system will be able to transform their business operations and unlock the value of the information and insights currently cloistered in their paper records.
Unlike traditional capture systems, Intelligent Capture identifies and extracts the critical information from both paper and electronic documents without needing guidance from a person. Business rules, industry regulations and a clear structure can all be programmed into the system, allowing you to extract the valuable information associated with the document and in the document, sort it properly, and action it accordingly. It can help you:
By now, almost every organization knows that digital transformation, in some form, is vital to their success. Access’ Brian Quinn said, “Some documents are born digital; some rise to digital and some have digitization thrust upon them.” There’s no denying the need to transform, but how you do it is key.