Infrrd AI Enabled Intelligent Document Processing for Complex Documents

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  Intelligent Document Processing Intelligent Document Processing (IDP)  automates data extraction from complex, unstructured documents, helping enterprises create a new value proposition for their organizations and customers.  Until now, only humans could process these kinds of documents, costing companies time and money.  Removing manual data processing bottlenecks with IDP, enterprises can drive new, transformative  business outcomes .                                            READ MORE                                           

  Artificial Intelligence Machines learn like humans “Just think how we have learned to understand something, or how we have learned to infer something,”. “That’s the evolution of intelligence a human being has, the same thing happens with a machine, also, so slowly they start learning things, slowly they start understanding things, and in that way, they can start inferring things, and that inference is what can lead to machine learning, or we can say,  artificial intelligence .” Priya Thampi ,  VP Engineering Explains – Why customers believe in  Infrrd ’s  approach and how Infrrd’s technology is making a difference from others. READ MORE

Infrrd’s current wave of technologies has tested a multilayered extraction model successfully that employs a suite of advanced  AI-technologies  to streamline the operational process. This is a result of a months-long effort in finding the right composition of technical modules. The following details provide a bird’s eye view to the multilayer architecture and its capabilities. Originally published at  infrrd.ai  

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  

There’s  tremendous value  trapped in your unstructured data, complex documents, and images.  Extracting it manually is slow, expensive, and doesn’t scale well.  OCR has its performance limits and eventually hits a wall.   How can you  remove this bottleneck? This new  AI-driven  approach to data processing can do far more than OCR.  What is IDP?  Why is it different? When is it better? Is it right for me? This ebook is an executive guide to  Intelligent Data Processing , a new AI-driven solution that can  unlock the data  you need to drive intelligent automation and improve business processes.   Intelligent Data Processing Get an overview of IDP, explained in simple terms.  Learn what it is, why it’s  fundamentally different from OCR , and how it can be applied to remove bottlenecks in your business. Includes three examples of  typical use cases .  Download Now To Know More : ...