Optical Character Recognition technology (in short, OCR) is already a powerful tool.
It enables machines to decode text across multiple languages and convert it into editable and searchable data. Simply put, OCR transforms device equipped with a camera into a portable scanner, allowing a user to easily interact with the printed and handwritten text.
OCR is definitely rad, as it solves one of the problems that today’s consumer is facing:
In front of me I have a piece of text, number or code, and in order to work with it, I need it to be in a machine-readable form.
The whole idea of converting text from videos and images might sound easy, but the process itself is pretty complex. The machine has no eyes, so it cannot recognize the characters and read them just like you are right now. What it can do instead, is analyze a picture of text—scanned book, handwritten note or a restaurant menu—and convert it into text in a form of an editable document like TXT, DOC, or a PDF file.
How Does It Work?
For starters, the image is loaded as a bitmap into a device and the most important image features—such as resolution and inversion—are detected. As there are numerous factors that can impact the OCR results, some images require noise cleansing and correction skewing. Others must be rescaled and inverted before processing so they will match specific OCR requirements such as a predefined range of fonts or colors.
The next step is a page layout analysis, also called “zoning”. The algorithm breaks down the page into elements such as blocks of texts, tables, images to later divide it into lines, words and finally, characters.
The actual recognition of the characters is the last step for OCR processes
The actual recognition of the characters is the last step. The algorithm creates numerous hypotheses about each character, taking into consideration different factors such as languages, fonts, print types and so on. As some characters like “1” and “I” or “C” and “G” can look very similar, the dictionary gets the last voice on the doubtful cases.
At last, after processing a huge number of hypotheses, the algorithm finally takes the decision, presenting you the recognized text.
OCR and Mobile
For computers, OCR has been around for quite some time. In fact, one of the first developments of the OCR was via the invention of the optophone in 1913. This instrument—created for blind people by Dr. Edmund Fournier d’Albe—scanned text and generated time-varying chords of tones to identify letters (more about the optophone).
For mobile devices, on the other hand, OCR hasn’t been present for that long. It’s shouldn’t surprise if we consider the fact that just 15 years ago, all that mobile devices could do was handling a simple conversation (or not).
But with the technology moving forward at a ridiculous pace, somewhere on the way smartphones became a basic lifestyle necessity for millions of people around the world. That’s when the breakthrough for the mobile OCR happened.
Still, the text recognition on mobile isn’t something that gets shipped with your brand new smartphone yet. You always need an app with an OCR API to make it work. Luckily, there are many solutions on the market that will help you convert your app into a portable scanner.
Who Is Already Taking the Advantage of OCR?
- Logistics and Transportation
The technology is already widely implemented throughout the entire industrial spectrum, but probably the most obvious application of OCR is in the logistics and transportation. The algorithms are used to speed-up and greatly reduce the costs of processing, tracking, and shipping packages. Instead of typing long tracking numbers, addresses and postal codes, OCR allows distribution employees to simply scan the text to extract the needed information straight from the label, in real-time. With the sharply minimized amount of manual labor, deliveries and shipments can be quickly and conveniently sorted out.
OCR is also getting more and more popular in non-industrial businesses. There is an increasing number of banking mobile apps that use camera-based features to simplify banking processes and make them considerably more efficient. OCR-powered apps also allow the customers to scan different kinds of documents, receipts, and checks, having every piece of data, from the account number to the signature, read, proceed, and stored directly at the bank.
Another industry that is already using OCR (but could be rocking it easily in the future) is healthcare. With its use, data from the handwritten and printed documents like medical reports, prescription forms, and patient records can be automatically extracted and imported into a unified database.
It not only ensures data accuracy but also improves the patient care. It’s worth noticing that OCR use in healthcare sector could go far more than that. Just imagine having your entire medical history in a searchable, digital form, available whenever and wherever you need it. Wouldn’t that be something?
How Can You Benefit from OCR?
There is no doubt that mobile OCR provides benefits which far surpass traditional methods of data collection and verification. The advantages of implementing this solution are immense, and these are just a few of them:
- Save time & money. Regardless of the industry, we all work with tons of data and a big chunk is still in the paper form. With the OCR you can greatly reduce the time and cost spent on manual data entry. Instead of typing, you can simply use the app to scan images containing text and obtain the digitalized input.
- Access data with ease. Save you and your employees the savage hours spent on searching for the lost papers. Just scan the document and upload it to a database in a chosen format. It will be available to anyone with the access.
- Make edits. We live in a world, where everything constantly changes and your business should be ready to adjust to these changes. With OCR you can easily make edits in the documents you’ve already stored, instead of creating the new ones, from scratch.
- Prevent errors. Unfortunately, we all make them, but with the use OCR your can ensure that misprints or incorrect data will be quickly detected and proactively resolved.
- Save space. Additionally, digitizing documents will save you tons of space and probably some money too, if you use the recycled paper.
In short, OCR will help you with any data-related processes and give you more time to concentrate on your primary goals.
OCR Is for You, but Also for Your Users
It’s no secret that today’s individuals and businesses expect to get goods faster, more flexible, and at low delivery cost. Why not use OCR to deliver the better user experience?
Turning the user’s mobile device into a portable scanner offers you the world. You can make your vouchers scannable to provide your customers with a convenient way to participate in your promotions. You can enable them to scan documents, credit cards, and receipts in an easy and efficient way. All they need to do is point the mobile device’s camera at the object and the required data will be extracted and stored in your database. This intuitive process is significantly faster and will surely provide a far better user experience than the ones that require manual data entry.
OCR can also be a great way to engage users. Just take a look at Red Bull and their Mobile Collect. The Programme launched in Poland provides the customers with the unlimited special access to the world of Red Bull, offering different kinds of benefits and prizes. All the customers need to do is share the tiny codes from the Red Bull cans. To make it more convenient, the company created an OCR app offering a possibility to photograph the code with a mobile phone instead of doing it manually.
With the rapid expansion of smartphones and significant improvements in their camera functionalities, possibilities for mobile OCR seem almost limitless. The applications of OCR already go way beyond digitization of documents. But in the future, combined with the power of Big Data, AI or Augmented Reality, they could truly empower the businesses throughout the digital revolution.
If you’re not using the technology yet, now is the time.