Infrrd AI Enabled Intelligent Document Processing for Complex Documents

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  

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

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 Extracting data from tables  isn’t quite as easy as it should be. If you read up about just how wrong the Rolling Stones were when it comes to  extracting data from tables ,  you already know! Automating data extraction  —  even when it comes to  complex tables  and charts  — is not as tough as you’d think. Find out how 𝗔𝗜-𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 helps to automate data extraction from complex documents using 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

Data Extraction From Complex Documents How accurate is your   dataextraction  from tables? Let’s face it.  Extracting information from tables  to feed an  automation process  is as complex as it is difficult.“You can’t always get what you want” is further validated when we recognize that automating the  information extraction process from tables  is a challenge few have fully conquered. Want to get what you want AND what you need? Let’s Chat! Start a conversation to get what you want and learn a lot more about what it takes to overcome  tabular data extraction  challenges.               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 >

“Intelligent data capture can achieve up to 95% accuracy and processes 12x faster than manual processing.” While traditional  OCR solution  may still be a better option for a few organizations, it fails to address critical challenges of graph extraction like identifying trends. Moreover, it also fails to address issues such as identifying overlapping graphs or axis scales and labels. Unlike OCR technology, the  IDC  platform is powered with AI-capabilities like  Machine Learning  and Natural Language Generator (NLG) to analyze the full population of data and identify outliers and expectations. It is these capabilities that enable entrepreneurs to draw a broader and deeper set of insights from visual representations. Once all the rules are in place, the data is extracted quickly and accurately, thereby increasing productivity and reducing the number of keystrokes required to perform the graph extraction task.  Intelligent Data Processing Infrrd’...

When receipts come in different sizes, layouts, and formats, the manual method can break down. Employees can grow bored doing repetitive tasks and become disengaged, leading to unexpected and costly errors.  Worse yet, errors can trigger rework that steals even more of your employee’s time and productivity.  This calls for a smart solution that can effortlessly automate repetitive tasks so employees can spend their time on things that truly matter, doing things that only humans can do well. Modern solutions can also increase efficiency and quality by automatically doing real-time policy checks, detecting duplicate and fraudulent bills, and more.  And the solution is…. Automation. But hold on, all data extraction solutions aren’t the same. For example, consider  OCR . It’s an old but reliable horse in the race of automation and many businesses use OCR today to extract data from documents. But OCR has its limitations - especially when it tries to tackle complex...

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

Infrrd  came up with a unique approach. Our  ‘ Intelligent Data Capture’ (IDC) encapsulates advanced AI-enabled capabilities such as Machine Learning and NLP to trawl through reams of documents to detect, analyze, and classify tables. But it doesn’t end there. Next, the data is captured in digital format, which routes data throughout the business environment for future purposes. Originally published at  infrrd.ai

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...

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...