Real-life users are imperfectReading data from ID's can be challenging. If you have a high-quality picture taken at the right angle with good lightning and clear, plane background, it's great. You can do the OCR step easily from taken image. But, in reality, it is often not the case and you can't really expect it to be.
Users want technology to work for them and not the other way around. Therefore, we have developed our own, proprietary Real-time auto capture technology.
A natural wayFrom the technical standpoint, the Real-time auto capture technology consists of several steps:
There is no need for server-side processing at all! But, more importantly, from the user's standpoint, the process consists of a half-a-second phone-pointing. Users don't even have to take a photo, they just point the camera to a document.
In fact, we don't want them to take photos because our technology processes multiple frames and picks the best one in just a fraction of the second.
Check out our demo app in action:
Small differences that matterThe difference between a solution that would include taking photo by the users, sending it to the server and returning results and ours would be about 2-3 seconds (if the taken photo is ok).
You might think that this is not a big difference, but it's huge, considering the user experience. Technology that works smoothly and adapts to users is the ultimate goal and we think that's the main reason why our SDK's are better than most other solutions available on the market.
The other use-casesBesides reading personal ID documents, our core technology can be used to read payment slips, barcodes, receipts, payment data like IBAN numbers and even free-form text in some cases.
Wherever you need to eliminate manual data entry and provide the best possible experience to your users, be confident that Microblink solutions will do the trick for you.