Infrrd AI Enabled Intelligent Document Processing for Complex Documents

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 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...

When introduced,  Optical Character Recognition software  was considered to be a boon for businesses. Instead of manually transferring data from records, one could now simply extract data from them. Later they can enter it automatically into in-house systems. We can save hours of manual labor but there remains a caveat. Errors introduced during the extraction process remain in your system. Before we recognize and fix the errors it can stall the work for many hours. OCR scanners  are prone to fail when one tries to extract data from old documents. Either the fading of the print or the lack of contrast can lead the software to incorrect recognition of patterns. Additionally, most online  OCR software  is designed to work with English as a language. But not everybody uses English as their first language. If you travel to Europe, the script remains the same but the language differs. A smart engine OCR should be able to pick up this difference in language and ada...

Data analysis without data preparation it is a myth. Unless we feed the right data in a proper format, Machine Learning algorithms won’t be able to solve our problem. If we give one wrong input then we end up where we started. So it’s very important to understand what data preparation is and how one can do it. Data, in its original form, may have a lot of missing pieces or disarrangement. Through data processing, one can modify this raw information from a specific database to a format which is understandable and learnable by the machine. Mentioned below are the ways that, we at Infrrd , employ in preparing our data. 1. Data selection: It is necessary first to identify the type of data we are going to be working with. One has to keep in mind whether the available data will be able to address an existing problem or not. We keep certain factors in consideration before selecting the data: Data should not be of low quality: Low-quality input= low-quality output. Dataset is not err...

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...