Infrrd AI Enabled Intelligent Document Processing for Complex Documents

Thanks to its name and all the hype around Big Data, it gives a sense that Big Data is meant for big companies with a huge amount of data. It is generally believed that Big Data has nothing to do with small businesses that generate small chunks of data. True, Big data is changing the game for a lot of big businesses, but as an SMB owner, have you looked at how it can impact your  business ? Read on to find out how Big Data can work for ‘big enough’ data for Small-Medium Business. The answer might surprise you… THE ONE MINUTE ‘YOU NEED BIG DATA OR NOT’ TEST: Here’s a quick test for you to figure out if your business can benefit from Big Data Analytics: Does your business use computers to store business data? Do you exchange information with your partners, customers or employees using electronic media like documents, emails, etc? Do your employees, users or customers talk about your products or services on social media? If you are running a Small to Medium business in 2014,

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 identify things that a

Intelligent Data Capture  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. Infrrd’s  Intelligent Data Capture (IDC)  implementation can help and make a significant impact on operations and workflows with near-perfect accuracy. It’s prolific and definitely the next big thing that’s gaining major traction in the enterprise environment. But this is just a tip of the iceberg. Adapting IDC provides a single point of access for all of your business information. Despite numerous advantages, decision makers still think twice about why should one invest in IDC? If you’re one among them  contact us  for a  free demo  today and get your questions answered about IDC or business-specific applications. Originally published at  infrrd.ai

Over the past 15 years, I have had the chance to work with many  OCR tools  and one thing I can say with certainty is that the text extraction quality of these tools has steadily improved with ongoing improvements in artificial intelligence and machine learning OCR techniques. More than ever businesses are trying to derive useful insights and meaning from scanned images and documents. For example, banks are wanting to extract intelligence such as parties involved and contract expiry dates from scanned contracts, insurance companies are wanting to detect fraudulent receipts submitted during the claims process and many more. Use cases like these require unstructured text be converted into structured meaningful data during OCR or post OCR. OCR tools inherently lack the intelligence to parse or understand extracted text beyond just extracting it. To assign meaning and structure to the content, another system needs to process the extracted text and extract entities and entity types fr

Signatures are seen everywhere - in Art, Cryptography, Music, Bank Cheques, etc. It is a mark of a person for a proof of identity and intent. It is distinctive and unique to that person. It’s also a way to confirm the person's identity. Although it is unique and private to that person, it can be forged. Banks use the signature to verify the cheques, Cryptocurrencies use the digital signature to verify a transaction, Art museums use the signature to identify the art’s owner. Hence, identifying the authenticity of the signature is of utmost importance. This is where the  automated signature validation  becomes important. In the past, people used to manually do signature validation. Wherein, the bank’s employee would authenticate the signature on the cheque, Art museum’s employee would authenticate the signature on the art and so on. This requires a good eye to notice any subtle differences and is prone to error. Also, it is quite a time-consuming process. With the advent of t

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 are some of the reasons why Finances

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 a