Infrrd AI Enabled Intelligent Document Processing for Complex Documents

  Enterprises roll out an  Intelligent Document Processing  (IDP) system to either scale their operations or cut down on some costs. Irrespective of what they choose, they need to figure out what will help them achieve their goal. Should they aim for higher accuracy or a reliable confidence score? This is like The Matrix red pill / blue pill situation. Pick one and your world will change forever, or pick the other and go back to business as usual. In our experience, dealing with some of the largest enterprises in financial services, the focus is usually on accuracy. Most companies think that if they get 95% accuracy, they are golden. Everyone believes that higher accuracy means lower costs, faster turnaround and better scale for their business. While this is not entirely false, it does not address the complete picture.  Let’s take a closer look. The problem with only using accuracy On the surface, accuracy looks like a good measure. You would be hard-pressed to think...

Optical Character Recognition (OCR) tools have come a long way since their introduction in the early 1990s. The ability of OCR software to convert different types of documents such as PDFs, files or images into editable and easily storable format has made corporate tasks effortless. Not only this, it’s ability to decipher a variety of languages and symbols gives Infrrd OCR Scanner an edge over ordinary scanners. However, building a technology like this isn’t a cakewalk. It requires an understanding of machine learning and computer vision algorithms. The main challenge one can face is identifying each character and word. So in order to tackle this problem we’re listing some of the steps through which building an OCR scanner will become much more clearer. Here we go: 1. START WITH OPTICAL SCANNING:   Consider the idea of putting together a good optical scanner, to begin with. With a scanner, one can capture an image of the original file or document. Remember to select an opt...

OCR Engine While conventional  OCR engine  is considered as a mainstay platform and might seem like the end-all, be-all solution for capturing data. It can be frustrating at times when the data is misread or not even be read. Inputting a document into an OCR doesn’t mean that it will actually output something without a hitch- forcing knowledge workers to manually work. Originally published at  infrrd.ai