OCR is an automated data extraction technology that has become the need of hours for efficient business processes. It is known to extract text from scanned images But, can it extract hand-written texts? Well, we will find out in this blog below.
OCR has become one of the go-to solutions for digital marketers around the globe. Considering all its strong capabilities, it’s not too difficult for this tech solution to take the burden off of converting the bulk of physical documents into machine-readable texts.
From scanned documents, snapshots, and image-only pdf, OCR is employed extensively to transfer the texts into digital papers for further editing and formatting while eliminating the need for manual image-to-text conversion.
When OCR technology is doing so much for you, you might be interested in knowing if it detects text from crude manuscripts.
Let’s say, if you wrote something on a piece of paper, will it still detect it all the same? Yes! It can but not all OCR software are designed to detect handwritten text.
We need to dig deep to understand how OCR works to detect handwritten texts. Before that, let’s recall the definition of OCR and how it works. At the end of the article, you will see how Ocronline.info can help us extract the written text.
What is OCR and how does it work?
OCR or Optical Character Recognition is referred to as text extraction technology. It’s a combination of both software and hardware that work together to extract texts from physical documents into editable digital format. Today’s virtual nature of work and writing has pushed this technology to evolve into a virtual data processing tool for users around the globe.
So, how does it work?
OCR system typically takes three core steps to convert images into text.
OCR system employs a scanner to read and scan the physical texts. Once the text is scanned completely, it uses black and white colors to interpret the written texts. The darker colors are analyzed characters while the white color is taken as the background of the paper.
AI character recognition
Then comes the actual processing of the tool that involves the use of virtual algorithms to interpret the darker portions of texts on a paper/image. The built-in pattern and feature recognition algorithms then single out the letters and characters on the scanned image and turn them into machine-readable phrases and sentences and retrieve the original text.
Post-processing involves automated error detection that checks for errors as you go at the end of the text extraction process. This process also verifies that no word or phrase is out of the vocabulary box.
Handwritten recognition using OCR
Extracting the characters from clear laser-printed computerized text is much easier than decoding human-written texts. Every human has unique writing and most of us have scribbled handwriting that makes the human brain hands down in front of digital devices. One such great device is Ocronline.info.
The AI-based tool doesn’t let us guess the worst and poor handwritten phrases, rather uses the automated intelligent word recognition IWR and intelligent character recognition ICR, making
Converting Handwritten Images To Text Using OCR
OCR technology’s role in capturing hand-written texts is undeniable. However, you might be thinking that it’s a difficult task, but it’s not.
Mainly because tools like Ocronline.info can capture crude text easily. So, let’s dive in and see the five essentials of capturing texts from hand-written images:
1. Pick The Image You Want To Convert
The first step, and the most obvious one, is to pick the image you wish to capture your text from. You need to find a picture with clear and solid text on it. If your picture happens to be hazy, then you need to pick one that the tool can read.
Here’s an example:
Alt: Image credit: Google Images
This picture isn’t exactly ideal for OCR reading. However, the point behind picking this one was to show the prowess of our tool. That’s why we’ll be diving into the tool and its effectiveness soon. But, first, let’s talk about the next step.
2. Pick A Feasible OCR Tool Like Ocronline.info
Ocronline.info is your best bet at capturing hand-written text. Why is that? Among so many OCR tools available online, it is one of the best OCR services out there, not because it is free but also it reads the handwritten text accurately.
As you can see here, our tool employs a simplistic UI for your convenience. The supported format by the tool you pick should be as mentioned above, i.e., PNG, JPG, GIF, or SVG. This way, you ensure that you capture the necessary text.
3. Drag & Drop Image Into The Selector & Get Text
Now that both your image and the tool are ready, it’s time to browse for the image you wish to convert into editable text. But, if you don’t feel like browsing your computer, then all you have to do is drag and drop the image, like this:
As you can see here, the image is ready to be extracted. It’s an easy process, as you can click on the “Select Image” option to do the same. However, the dragging and dropping option is to improve your work efficiency.
4. Let It Extract Text
All that remains now is to let the tool do its work. So, once your image is in the tool, click on the “Get Text” button. The new and evolved technology within our OCR online tool will thoroughly recognize the text present within your image, such as this:
As you can see, despite the image being blurry, the tool has done remarkably well to recognize the text present within. How did it do that?
- AI-based algorithms recognize human-written patterns
- The tool thoroughly recognizes common and uncommon words
- Thorough use of NLP
These three factors add up and extract text from the most uneven and crude hand-written texts—as proven above.
5. Use The Text As You Wish
All that remains now is to copy the extracted text. As you can see, the tool has thoroughly recognized each section of the image and provided you with the writing present on the paper. So, now that it’s editable, you can use it anywhere you want.
Not all OCR tools are good at extracting text when it comes to handwritten papers. However, ocronline.info simplifies the process by recognizing and translating poorly written physical text to digital format pretty easily. Not just it’s easy and free-to-use service but it also offers accurate and readable results.
Danial is a New Jersey-based freelance writer with a background in Computer science, Machine learning and technology coverage. He completed a Master’s degree in Computer science at Harvard University.
He currently works as Content Writer for Ocronline.info.