Infrrd AI Enabled Intelligent Document Processing for Complex Documents

Intelligent Data Processing Automating data extraction from complex documents  has been a challenge for so many for so long. Maybe you tried using OCR to automate data extraction.  It works for more simple documentation.  Perhaps you were successful using cloud tools from Amazon or Google to automating more simple stuff, and figured,  “What the heck, we’ll try that for the complex stuff, too!” Have you ever wondered about  99% accuracy  of data extracted from 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝘁𝗮𝗯𝗹𝗲𝘀? Answer these 5 questions to find out.                         READ MORE  ….

The need for making sense of images and extracting meaningful insights from them seems to be rapidly growing. Images are the second most popular content type and there is a vast range of companies that deal with images in one form or the other on a regular basis. This spikes up the need for better  image classification  with increasing accuracy and using automation. At  Infrrd , we dealt with one such use case where the customer wanted us to build a platform for a user to sell his / her watch. In this case, a user uploads an image of the watch he wants to sell. This system eases the user’s work by correctly identifying the watch and auto fill all the details about the image and upload it to the site for sale. Our system needed to do the following: given an image, identify and recommend similar models and finally, classify the watch to the right model. Robotic Automation What most recognition platforms can do: Given an image of a meeting room, they can ide...

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...