Infrrd AI Enabled Intelligent Document Processing for Complex Documents

  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  

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  ….

Automation is an evolving technology that promises to be the biggest game-changer – bringing results that are capable of disrupting a market. It is a breakthrough at breakneck speed, better described as ‘digital speed’.  Audit automation   is changing the nature of audit work, replacing much of low-level ticking and bashing with higher work, concentrating on analysis and judgments that give better insights. It also enables auditors to ask better questions and adding value to the audit process.  Infrrd’s IDC  platform is baked with cognitive capabilities. It covers several interlinked AI-enabled capabilities, such as Machine Learning and  Natural Language Processing .  Originally published at  infrrd.ai To know more about  Infrrd’s  platforms and solutions get a  free demo  from our experts.

Infrrd’s AI-enabled platform transforms invoice management by easing the traditional error-prone process. It holds the capability to analyze, extract, and validate data from invoices of different formats and layouts. Additionally, the platform delivers extracted data into any pre-existing tool.  Click here to know more:  https://hubs.ly/H0kyVvd0

I spotted another interesting question on Quora related to  machine learning & OCR , here’s my answer: I will give you a consultant’s answer – you may not like it but here goes – “It depends”. The ‘best’  OCR extraction  method depends on the context of what you are trying to extract. My guess is that you are not talking about the OCR process itself. But, rather how to extract features out of the text that OCR spits out. ​There are two broad approaches for extraction depending on whether you know the kind of data you are dealing with (invoices, tax docs, grocery labels, etc) or you do not: DOMAIN-BASED OCR EXTRACTION This approach helps when you know beforehand the kind of data extraction you are after. Let’s say you were trying to extract features of wines from a set of wine ratings and notes that you have OCR-ed. Before you can do the feature extraction, you may consider running topic modeling algorithms on a large collection of existing wine notes to fig...

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 adapt its...

Infrrd   has some exciting news to share with its users: we have just won two prestigious awards, Rising Star Award for 2018 and Great User Experience Award by FinancesOnline Infrrd OCR  has officially been reviewed and certified by FinancesOnline, an independent SaaS review platform that strives to create unbiased analyses in a bid to help businesses find the perfect solution that fits their unique requirements. Not only did Infrrd OCR garner a positive rating, but it was also certified with the  Great User Experience  award for 2018. The AI technology of  Infrrd OCR , according to FinancesOnline, is capable of efficiently extracting simple and complex data as well as key fields from various types of documents for hassle-free procurement of information. FinancesOnline was impressed that our AI Platform is powerful enough to capture data from IDs, passports, financial statements, custom PDF formats, and even hand-written forms and notes. These ar...

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...

WHAT IS OCR? Data entry can often turn tedious and inaccurate if done manually. But, you can avoid this cumbersome process with an automated optical character recognition software. What OCR does is, it uses machine learning to scan each character on a page individually. It allows the documents to upload as text documents instead of images. We could scan easily and promptly any kind of printed document, be it receipts, invoices, contracts, utility bills and much more with this solution. HOW IS INFRRD’S OCR DIFFERENT FROM TRADITIONAL OCR? Our  OCR solution  is different in two ways: We don’t use templates but NLP for recognizing entities in a document. This helps us identify business names, bank details, amounts, prices etc. irrespective of where they occur in the document. Read more  here  on why templates are a bad idea. We use Machine Learning to fix what traditional OCR’s cannot figure out, by building an automatic context around the...

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 adapt its data extraction algori...