Infrrd AI Enabled Intelligent Document Processing for Complex Documents

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. Why does OCR fail? Many OCR engines fail to support and understand the complexity of the input data in a given document. For example, if the input document is a form then the OCR might identify the text but may not recognize text over a line or the text in blocks. This may result in unexpected output. Originally published at  infrrd.ai  

“Intelligent data capture can achieve up to 95% accuracy and processes 12x faster than manual processing.” While traditional  OCR solution  may still be a better option for a few organizations, it fails to address critical challenges of graph extraction like identifying trends. Moreover, it also fails to address issues such as identifying overlapping graphs or axis scales and labels. Unlike OCR technology, the  IDC  platform is powered with AI-capabilities like  Machine Learning  and Natural Language Generator (NLG) to analyze the full population of data and identify outliers and expectations. It is these capabilities that enable entrepreneurs to draw a broader and deeper set of insights from visual representations. Once all the rules are in place, the data is extracted quickly and accurately, thereby increasing productivity and reducing the number of keystrokes required to perform the graph extraction task.  Intelligent Data Processing Infrrd’...

Are your employees spending too much of their time collecting and sorting paperwork, trapped in the monotony of keying in expenses and attaching receipts?Humans are the smartest and most expensive resource investment you can make. If you’re not making their time as productive as possible, you’ve got a problem that needs attention. And if  receipt data extraction  is stealing too much of their time, automation can save the day. What many organizations don’t realize is automation isn’t what it used to be. It’s far better now. Advancements in   artificial intelligence  and  intelligent data capture  make automation viable today, where it wasn’t just a few years ago. Read More  To get a deeper understanding of Intelligent Data Capture and its abilities, chat with us at  www.infrrd.ai

The  OCR  technology has become widely popular today. Existing workflows and business processes have improved a lot after companies started adopting it. Some have even created their own versions of it to achieve better results in terms of productivity. Although, increasing the OCR accuracy isn’t something which can be done overnight but one can definitely try to do so in due course of time. So how can someone fine tune their  Optical Character Recognition  engines gradually? Well, there are different ways to attain this goal. We at Infrrd keep in mind the following tips:    1. Accuracy is achievable at a character level.    2. Accuracy is gainable at a word level. On the character level accuracy, an OCR capability is judged on how often it can recognize a right character, rather than how often it identifies a wrong character. Similarly, word level accuracy means how frequently an OCR identifies a right word. Infrrd   OCR   ha...