Infrrd AI Enabled Intelligent Document Processing for Complex Documents

  A Gartner analyst takes 20 calls a month on OCR and   Intelligent Document Processing  from enterprise buyers looking to make their next moves. We asked him what they’re looking for in a  data extraction solution . And he said, “solution accuracy.”  Here’s why: Vendors aren’t generally willing to provide this most critical metric. Instead, they say, “it depends.” They don’t want to commit, which is unsatisfactory to the enterprises who have real money on the line.                                    READ MORE

  Teresa Cattaneo  has sold wine. She’s sold guitars. But starting in August 2018, she became part of Infrrd’s team, selling something else exciting — the ability for enterprises to make the impossible possible when it came to  data extraction and business transformation .  The Leadership Cares She says she knew going out on a limb to join a startup was worth it once she met Amit, the company’s founder. “I think we have an exceptional leader at  Infrrd ,” she says. “He’s got open arms for anything you need to discuss.” READ MORE

Many multinational companies today, face the most significant revolutionary change in the realm of technology. Namely, conversion of paper documents to digital and the inability to leverage data ensnared inside scanned documents and images. Relying on data trapped inside documents and manually re-keying them can land businesses into a bottleneck situation. Therefore, the need for an automated solution to segment and extract document elements is high.  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 : ...

How AI can Solve your OCR Problem The success of your  Intelligent Automation  strategy depends on your ability to extract necessary data from paper-based documents such as contracts, manuscripts, books, invoices, receipts, etc. and convert it into machine-readable text.  Unless you want a manual data entry bottleneck in front of your whole automation process, step one of your automation strategy should include the automation of that data extraction process.                                         READ MORE

Intelligent Data Processing The technology that enables us to extract information from scanned images of printed or handwritten documents is called  Optical Character Recognition  or OCR.  Accurate and reliable data extraction  plays an important role in finance, accounting, electronic health record updates, insurance claims processing, personal and national security, logistics documentation, and legal documentation.                                       READ MORE

Extracting panel data from PDF documents  is not for the faint of heart.Typically it’s a time-consuming, manual (and some would say torturous) process that’s as tedious as it is filled with error.It’s all because of the challenges of extracting panel data.Find out how to automate panel data extraction with the help of  𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 . READ MORE  ……. Sign up for regular updates of recent Blog post  😁

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  ….

True or false? Extracting data from Annual Reports is time-consuming. Extracting data from Annual Reports is painful. Extracting data from Annual Reports  has to be a mostly manual process. If your company is like most in need of the data trapped in Annual Reports, odds are you called all these statements true.  But, what if you’re mistaken? There’s a reason most find  extracting data from annual reports  difficult, time-consuming, and/or costly. Because until recently, the common ways to address the challenge were inadequate. Intelligent Data Processing                          READ MORE 

Data Extraction From Annual Reports Do you spend a lot of time daily in extracting meaningful insights from  𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐚𝐧𝐧𝐮𝐚𝐥 𝐫𝐞𝐩𝐨𝐫𝐭𝐬 ? Annual reports come in all sorts of formats with non-standard taxonomy being the norm more than the exception. Add in that important information is always presented in tables, charts, graphs, and other containers  OCR   has difficulty reading, and the picture is clear.A single Annual Report can be up to 186 pages or more. When humans are left to manually extract critical data from each page, how long do you think a single review of a single document would take? Now what if you had hundreds? Thousands to review? Find out how  𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠  platform will make your time more beneficial READ MORE

Intelligent data capture can achieve up to 95% accuracy and processes 12x faster than manual processing.” Intelligent Data Processing Benefits of Infrrd’s Intelligent Data Capture platform Effort Reduction : The IDC platform is well-equipped with cognitive capabilities that makes self-learning feasible and adapts different layouts, configuration, rules, or templates. This saves a great deal of effort. Time-saving : IDC solutions can process graphs 12x times faster than humans letting employees work on value-added tasks. High Precision : Through self-learning, the module learns to become more efficient and reduces human-ridden errors leading to more accurate and faster results. Increased Productivity : With IDC in place, it’s possible to perform graph extraction in less time with reduced errors. This means less double-checking and reworking tasks, leading to higher efficiency and productivity. Moreover, the business processes will be streamlined, resulting in...

Intelligent Automation Infrrd client wanted to implement a 100%   automated insurance   claim process. Such a process would give them a competitive advantage over other providers. After collaborating on the 100% question, we found the most critical bottleneck in need of a fix was  accurately extracting data  trapped in various  unstructured documents   and images. Infrrd could help them  automate data extraction   with a high degree of accuracy, the claim process could run using  straight-through processing  — with minimal human involvement. We removed the  data extraction  bottleneck for them…Today, they operate right on the cusp of 100%.  <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. Following details provide a bird’s eye view to the multilayer architecture and its capabilities. 1. Computer Vision As an intense lens can recognize the objects well and spot loopholes, the vision also plays a similar role. It recognizes and identifies the regions of the document that needs to be extracted. It performs preprocessing operations to improve the quality of the document by distinctly identifying the text, images, stamps, handwriting, etc and make it ready for extraction. Also, the document is classified by understanding the structure of the document pages. Intelligent Data Capture At  Infrrd , we’ve done intense research on identifying various objects on a page/image. Our ...

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

It’s a known fact that P&ID’s diagrams are of great importance to the oil and gas industry. They hold critical information concerning the layout of an engineering process flow along with the interconnected types of equipment. Over a period of time, the landscape of handling P&ID diagrams has witnessed a drastic change. With digitization in place, several vision problems were observed such as resolution, orientation, and the existence of noisy textual information. Intelligent Data Capture

Whether you’re presenting an annual report, comparing sales figures, or highlighting a trend, visual representations such as graphs or charts are a great help to understand data elements quickly. However, in today’s hyper-interactive world, it’s hard to understand why data still continues to be represented as colorful graphs. These data trapped visual representations that cause restrictions in harnessing the data or make better decisions. With an increase in document volumes and a growing number of layouts, graph extraction has become a complex process; its optimization is a struggle for many organizations. Manual data retyping is prone to up 90% error, is time-consuming, and is therefore not scalable. This grinding process also requires significant rework and is an area that could benefit from   AI-enabled automated platforms . Many enterprises already understood this and are ready to jump right into automated solutions, implement them into their business processes, and reap...