Answer these 5 questions to start automating data extraction from 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 ….




Comments

Post a Comment

Popular posts from this blog

How Can Adopting Intelligent Data Capture for Banking Sector be a Competitive Advantage?

-
Image
The reality is that Banks exchange a lot of information with other companies that they have no control over. They get annual reports from customers, they need to validate payslips for processing loans and there is no global standard for that. A lot of time they need to process collateral documents which comes in thousands of variations from a growing list of hundreds of providers. This can be possibly due to the unprecedented challenges faced by banks: from in-branch applications for accounts to cheques, loans, monthly statements, and other services, much of their daily activities remains mired in paper and manual processes. Also, Most banks have switched to online applications where they control the entry of the data. The challenge is for the documents that come from other companies that they do not control But, what’s the problem with papers? In today’s fast-paced consumer culture, delays become a liability to any industry that provides customer service. Cheques and forms have ...
Read more

Image Recognition for Product and Shelf Monitoring and Analysis

-
Image
With the e-commerce boom, entrepreneurs have learned that conventional strategies of visual merchandising or sales promotions won’t be able to sustain profits in the cutthroat CPG industry. Many retailers are already implementing AI and image recognition to deliver the next level of customer experience, bringing the dawn of a new era for the retail industry. According to Gartner, by 2020, 85% of customer interactions in the retail industry will be managed by AI. Product discovery, product recommendations & trend analysis are some areas for implementation of computer vision and image recognition. This article elaborates on how image recognition can be implemented by retail & CPG companies. 1. Auditing Product Placement: Customers are making key buying decisions at store shelves and companies have to use technology to stay ahead of the fierce competition or face extinction. Gathering key consumer information helps companies understand their needs better. Shelf ...
Read more

To Know About Building An OCR Scanner From Scratch

-
Image
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...
Read more