Learn about Pennsylvania’s new “Clean Slate” law and how the state is using automation to expunge minor criminal offenses.
Interesting question, isn’t it? Within the past 30 days I have had more interaction with government entities than I have had in the past 30+ years…combined. Within the past 30-days, I miraculously figured out how to accomplish the following: obtain a marriage license, apply for certified copies of my marriage license, begin my name change process, start a LLC, file for a FEIN, and setup payroll.
It’s easy to mistake Optical Character Recognition (OCR) as a one-trick pony.
After all, pulling text out of an image to make it usable in other applications is an impressive trick. Don’t be content to think that’s all OCR can do for you though. By combining OCR output with other technologies, it’s possible to make substantial improvements to workflows throughout an organization. Incoming document workflows are the first and most obvious place that OCR can make a major impact.
I can guarantee that anybody reading this blog uses machine learning dozens of times each day without even realizing it. When you perform a web, search usingGoogle or Bing, for instance, the search engine works so well because their software has figured out how to predict searches and rank pages for you.
Ever posted a photo to Facebook and wondered how names of all the people in the photo were accurately suggested? Or, perhaps you are trying to understand the technology behind cars that can drive themselves? I’ll let you in on a little secret…
I am human. I am not perfect. I make errors, as all humans do. I can also appreciate all the advances in technology that allow me to reduce my error rate. Whether it be the little red line that shows up underneath words spelled incorrectly while I am typing an email, or the GPS on my phone that reroutes automatically after I miss a turn. These advances in technology allow me to focus on other tasks that humans are needed to accomplish, that no robot or software can supplement.
Counties are continually tasked to do more with less. Leveraging technology to improve the speed and accuracy of providing access to documents is absolutely critical. Extract’s technologies can help you achieve streamlined workflows and increase the speed of auto-indexing or redaction projects whether it is integrated with your existing systems, a new system, or utilized as standalone solutions. Using cutting-edge technologies, these solutions easily scale to handle single departments, countywide implementations or large historical projects.
Automated Document Classification is defined based on your business requirements and documents. Documents may be classified according to subjects or based on other attributes such as; document type, author, printing year, etc.
Once these classifications are defined, documents stored in an assigned repository or arriving by fax, e-mail or via an upstream workflow, are sent to an Automated Document Classification application.