#ocr solution

​Initially, manual data extraction of stamps led to errors and excessive time consumption. As technology improved, businesses used digital systems to cut down on errors and reduce time frames using such platforms as OCR; the only solution for scanning stamps and capturing data at the time. 

While conventional OCR engine is considered as a mainstay platform and might seem like the end-all, be-all solution for capturing data. It can be frustrating at times when the data is misread or not even be read. Inputting a document into an OCR doesn’t mean that it will actually output something without a hitch- forcing knowledge workers to manually work.

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 algorithm to suit that language. Infrrd’s OCR tool is built to handle problems that traditional text recognition software can’t. ​

Intelligent Data CaptureInfrrd OCR tool on the other hand, uses both Artificial Intelligence (AI) algorithms and machine learning. This helps them to not only read the documents but also to train itself for the future. So, we do not have to worry even if the invoice or bill is in a new format. The system can quickly adapt and continue with data extraction without you having to train the system. The machine learning algorithms analyze the data of your documents and automatically correct it to suit the most likely of the words that your invoices regularly use. This saves you precious time because there is no more error finding to do later on.

As the system learns, it can read and extract data from more and more documents that you or your business tend to use. Eventually, the accuracy score also increases. There are no templates that you need to provide, to begin with, and the extraction can work off mobile devices too. So, no more central processing of extractions. Your staff can initiate and transfer data on-site, on the go or from the comfort of their home.

PUTTING INFRRD OCR TOOL TO USE

Since we have our own mobile SDK and a white-label app we can on-board quite quickly. By default, the app extracts data such as the type of expense, name of the dealer, transaction date, transaction amount and currency of the transaction. This is a feature that you will never find in a traditional OCR tool, where you have to begin training right from the beginning.

For all the additional data that you might want to be extracted, Infrrd can be trained quite quickly and relies on its learning abilities to perfect its craft. Artificial Intelligence algorithms allow in a quick extraction of data on taxes, business names and even classification of documents by their types. For certain businesses, they require a line by line extraction of data. We can instruct the algorithm to follow the same. Hence, we can put automated extraction into action in no time.