The Most Practical Optical Character Recognition Use Cases of 2016


Optical Character Recognition is playing an important role in most of the companies and help millions of users daily.

With a more than ever user focus approach of software development, and also to reduce the cost of document processing, Optical Character Recognition can bring nice features to software.

The rise of Smart Phones, with improved Camera functionality, puts in the hands of the user a mobile scanner, allowing him to easily interact with text.

I list below the 4 main common usage in 2016 of the OCR technology.

1. Business Card Recognition

Since the advent of Personal Computers and Smart Phones, numerous persons predicted the death of the paper printed business card. The fact is, it's still the faster and most cost effective way to share contact information and start a conversation for most of the business operations. That said, attending a conference can net you a big amount of this bizcards.

A practical way to help you manage this new contacts is using Business Card Recognition to automatically fill up your address book by capturing this paper documents. Nowadays any smart phone is more than capable of extracting this contact info and populate your address book, while also allowing you to search faster trough your previous business leads and interact with them.

2. Banking/Credit Card Recognition

Since people use more and more their mobile devices to shop, either by browsing online shops or physically paying with their phones, a smart function for the user is the ability to scan his credit/bank cards and loyalty program cards. Apple with Apple Pay already incorporate such card recognition functionalities into their devices, as well as other competitors. Using Credit Card Recognition reduces the time spend to enter the bank card information as well as reduces the possible error of data entry.

3. Document and form recognition

Extracting information out of printed documents, as made different businesses. In the era of big data, a lot of information can be extract from the previous knowledge and info previously printed on paper. Google uses OCR (Optical Character Recognition) to digitalize large libraries as well as allow a user to find extract from books directly from their computers. In a more Business orientated approach, companies incorporate directly into their CRM (Customer Relationship Management) or EDM (Enterprise Data Management) data from their paper document. Let it be contracts, business information, invoices, … with just a scanner and OCR you can integrate the data directly into your companies document processing workflows.

4. Live Translation

Traveling around the world can lead you to places you don’t understand the local language, or even not being able to type or spell the text you need to understand in your own language. Pointing the camera of your phone to said text language (Chinese Restaurant Menu, Russian News Paper,…) and OCR can help you overcome this languages barriers. Optical Character Recognition can help you also to learn languages….

Yunmai Technology OCR SDKs

Yunmai are specialized in providing technology and solutions based on Optical Character Recognition to a lot of companies in different fields: Banking institutions, Official institutions, Scanner and Mobile Phones Manufacturers, Internet and Telecom Companies. Our solution are customizable to fit the needs of our clients. We focus on mobile OCR SDK with world leading accuracy, fast recognition and small footprint. Our partners include Samsung, HP, China Telecom and more than 100 other companies.