The age of computers has been a whirlwind of changes—both good and bad. The internet, which to some people seems to like it has always been around, was actually only created in 1980. From then until now, the internet has changed the way we do almost everything. And it doesn’t look like it will be slowing down anytime soon.
In the past 20 years, we have seen many different innovations in technology, including cell phones and smartphones, tablets, and laptops, just to name a few. But there is one company that has had an impact on our lives that is even greater than all of these devices combined: OCR software.
What is OCR software?
OCR stands for Optical Character Recognition. OCR software converts scanned or photographed images into computer text. This means that you are able to scan an image of paper documents, journals, books, or whatever you want and create a digital copy. It has a lot of advantages:
- You are able to store your documents in an electronic format, which means you can keep them for longer and access them easily whenever you want.
- The text is searchable and editable, so if by any chance there is something wrong with it, you can fix it immediately.
OCR software, which combines hardware and software, transforms physical documents into text that computers can read. Text is copied or read using hardware, such as an optical scanner or dedicated circuit board, while software usually does advanced processing. The software can use artificial intelligence (AI) to implement more sophisticated intelligent character recognition (ICR) techniques, such as recognizing languages or handwriting styles.
(Optical Character Recognition) OCR Software — The Basics
OCR technology is already all around us, helping computers interpret the text on our screens and in our documents. It’s everywhere, but how many of us really know how it works?
When we open a Microsoft Word document, what do we see on screen? The content of the document? The actual letters and words are buried beneath a layer of formatting, but the computer doesn’t need to see them to display the text.
Instead, it can use OCR to extract text information from pixels on a page and make it instantly searchable or copy and paste. This process is both fast and accurate, which is why we take for granted that when we open a Word document, we can copy text from it into a search engine or an email message and reducing manual data entry of document content into other systems.
OCR technology has been around since the ’60s, but it’s come a long way from its early days of misreading even basic typography. These days, OCR programs can scan documents in dozens of languages and can recognize symbols like mathematical equations. But as great as they are already at recognizing letters and numbers, they haven’t yet reached that point where they can actually “read” text — if you’ve ever used one of those OCR programs, you know that even in the best-case scenario, it’s still a bit of a guessing game.
OCR Software — Next Gen
We’re only beginning to develop the capacity to understand the texts of the digital world. While we’ve long been able to build search engines that let us find text within images, we’ve had more trouble extracting text from its meaning. Search engines like Google can identify typed words and numbers within an image; they can even identify handwritten digits and letters. But what if you have something more complicated, like a page of text?
Can we automatically break those letters apart into their component parts and make sense of them? If I’m reading a novel and want to save it, could I take a picture of a page with my smartphone, have my OCR software scan the image, and save the text in such a way that I could pull it up later?
This is still in its infancy—OCR is far from perfect. And yet things are changing very quickly. There are promising new developments on the horizon for this technology, and I think we’ll be seeing some very exciting releases in the next few years.
Three of the main ways I see OCR changing between now and 2022
I believe that OCR software has already started to revolutionize the way knowledge is shared, learned, and communicated between humans. Here are three of the main ways I see OCR changing between now and 2022:
It will become more accurate, faster, and easier to use.
OCR is getting better every day, and many people have already started using it to save time and energy in their lives. I’ve written about this before: if you’re reading a book on your phone or e-reader, you can use OCR to scan the text and convert it into an easy-to-read format that’s stored on the device itself or online. You don’t even need an internet connection for this.
It will be used in more places than it is now (for example, on mobile devices)
This is especially true if you’re using OCR on a tablet or e-reader because these devices have cameras that can take pictures of your documents and convert them into an electronic format. You can also use OCR software to scan printed materials and create a digital copy.
It will be able to handle different types of documents (not just books and magazines)
This means that you’ll be able to scan old letters and manuscripts, as well as printed documents, and convert them into a digital format that can be read on your computer or mobile device.
2023 Is Here — What’s Next?
By 2023, OCR software has become so advanced that it can recognize characters in images and text in scanned documents. In the past, OCR software was more like a translation service: it converted image data into words and numbers encoded as ASCII characters. However, today’s OCR is so advanced that it can perform its magic without even having to “read” or convert the text first—it can read the text directly from an image file.
In other words, the OCR software has become so advanced that it can perform its magic without even having to “read” or convert the text first—it can read the text directly from an image file. This is a major step forward in document processing technology and is especially useful for businesses that are required by law to preserve records of their transactions.
In addition to helping businesses comply with legal obligations, this new technology will help them save money and time by reducing manual labor costs associated with document processing.
What are the Benefits of Optical Character Recognition?
Optical character recognition (OCR) is a technology that uses images to extract text from them. OCR software then converts this text into editable text that can be used for editing and manipulating purposes. The benefits of using OCR software include:
Accuracy
This is perhaps one of the most important benefits of using OCR tools. With OCR, you can be sure that there will be zero errors in your scanned documents.
This is because it uses optical character recognition technology to scan paper documents.
This text recognition technology has been around for over 30 years now, so it has been perfected over time to ensure that it delivers accurate results every single time.
Speed
The speed at which image files can be converted into editable text depends on several factors, including the quality of the original image and how clean the scanned document is (i.e., how much or how little noise there is).
However, with today’s advanced intelligent character recognition technology, you can expect to convert an image into an editable text file within seconds or minutes depending on its size and complexity. In fact, some OCR technology can convert an image into editable text within less than half a second.
Ease of Use
OCR can be used by anyone with a basic understanding of computers and technology. All you have to do is open the program, drag and drop your image into it, and hit “convert”! You don’t even need to install any additional software or drivers before using an OCR program because most are web-based applications that run in your browser.
Wrap-Up
There are a bunch of different things to think about when it comes to OCR, from what it does and how it works to the future of the technology itself.
One thing is for sure: though not perfect, OCR software is taking over the world. It’s an important part of online accessibility for those who can’t see or hear, it’s helping journalists create more content with less work, and it’s making life easier for anyone who has ever had to deal with repetitive tasks.
FAQ
Which Optical Character Recognition software is best for you?
Consider your actual demands before choosing which OCR software to download and use. Free platforms may only offer simple alternatives, so if you require complex skills, you might discover that a premium platform is far more valuable.
Additionally, accessible and inexpensive software solutions might occasionally be limited in the range of tools they offer, whereas higher-end OCR software can genuinely accommodate all needs. As a result, make sure you clearly know the features you think you might need.
How do you know if OCR is accurate?
The result of an OCR run for an image is compared against the original version of the exact text to assess OCR accuracy. Then, you can either count the number of successfully recognized words or correctly detected characters (character level accuracy) (word level accuracy).
What are the uses of OCR technology?
By transforming text photos into text data that can be evaluated by other business tools, OCR finds a solution to the issue. The data can then be used to perform analytics, declutter operations, automate procedures, and boost efficiency.
What is OCR?
Optical character recognition (OCR) technology is a business solution for automating data extraction from printed or written text from a scanned document or image file and then converting the text into a machine-readable form to be used for data processing like editing or searching.