#ocr sdk

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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.

OCR (Optical Character Recognition) technology is becoming more and more popular in data entry. Nowadays it has been used by lots of companies, including telecom company, social networks, mobile phone manufacturers and more. OCR technology is mainly used to recognize characters in document images or card images, and help people reduce entry time. Banking Card Recognition SDK, developed by Yunmai Technology, gives their application an easy way to extract data from card images. It can be generally applied to the industries which deal with a lot of bank card information entries. Integrating Banking Card Recognition SDK into your software or application to provide software-based credit card payment solution for people. Nowadays, more and more people feel like shopping online through mobile phone. In the meantime, it is important to simplify mobile operating procedures to promote mobile phone payment. During online shopping, sometimes they need to input bank card information to pay for goods. It may take longer time for them to retype the card number and other information. They may also make some mistakes during retyping. Developing an application with OCR technology can help them easily input the card information without having to retype it. They just need to capture the bank card with mobile camera's device. Integrating Banking Card OCR SDK into the software or application will automatically recognize the card and extract the information on it. It can also categorize the content on the card, such as the bank name, the card number and the expiration date.

Demo application of Bank Card OCR SDK Now the Yunmai has released Bank Card Recognition which is a demo mobile application of bank card OCR SDK, you can go to Yunmai’s product downloads site to get an app for trial.

Accuracy rate and OCR engine efficiency (reference) - Bank card recognition accuracy The average recognition accuracy rate for the Banking Card is 99%. - OCR SDK efficiency The engine process recognizing a Banking Card will take about 0.15 seconds for average.

Programming language supported The OCR SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.

In most of states of America, foreign people can use the driver’s license that issued by their own country to apply an American driver’s license. For example, in California, there have more than half million of Chinese, a lot of new immigrants bring their Chinese driver’s licenses to the department of motor vehicle (DMV) to get new licenses. Normally, the DMV staff only validate the foreign license’s expiration date and then make a copy of that before issuing the new license. This process let new comers feel very convenient, but there has some loophole in the licenses’ management. The staff is unable to verify the license is real or not, and they cannot check the applicant’s driving records. These are the issues that need to be improved. Yunmai Driver’s License OCR SDK can help DMV to fixed the problem, the OCR engine is provided for developer to integrate into a management system, and create a feature of smartly reading Chinese driver’s license. The recognition SDK is able to extract the license information by capturing instead of manually typing, as you know, few DMV staff can type Chinese. This technology would make the DMV fast obtain the digital information of foreign driver’s licenses, so that they are able to request some required information from the related issuing department. Yunmai Driver’s License OCR SDK is developed by Yunmai Technology Company, the OCR engine is tailored for recognizing Chinese driver’s license. The recognition accuracy rate reach 99%, and the engine processing time is about1 second. If the developers want to apply this technology into the management system of DMV to recognize Chinese licenses, Yunmai Driver’s License OCR engine is good choice, it will save much time for them on developing.

Programming language supported The SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.