A Brief Guide to Image to Text Converters

November 20, 2019 – 4:45 pm | by Steve

Today we are quite used to hearing the term megapixels when smartphones and camera makers describe the images that can be captured and stored on these devices. But very few of us know what a pixel is? So, before we explain how optical character readers work and how do they convert an image to text, let’s talk about what does the image consists of. 

A pixel is the smallest unit of a digital image. A number of pixels are combined to form an image. The more pixels that are packed into a small image, the sharper will be its resolution. A pixel can be a dot or a square, and they are placed together to form the image. Each pixel has a matching color code. The computer reads the color code of each pixel and displays it on the monitor or display unit. Typically, a computer monitor with a resolution of 1280 x 768 will produce a maximum of 98,040 pixels. 

Converting Image to Text

All images are scanned when we want to make a copy or to extract the text that might be embedded in the image or surrounding it. Not too long ago, you needed a scanner that had inbuilt optical character recognition (OCR) capabilities to extract the text from the scanned image. In recent times, technology has moved on, and you no longer have to hunt around for a scanner with OCR capabilities to convert image to text. 

Today, there are many image to textconverting tools available on the internet today and one them is offered by https://searchenginereports.net/image-to-text-converter. The trick is in finding the right one to use. OCR colors for quality scanning must be adequately captured. OCR software requires a minimum quality so that the text in or around the image can be captured and identified correctly. It’s important to mention here that OCR software can capture printed text from images which are in black and white or grayscale color. Documents that are in color take up far more space than a black and white document. That’s why most companies scan color documents and save the scanned image in black and white. 

Minimum Quality Required for OCR Colors to Scan

It’s important to know what the minimum image quality is required to provide accurate text extraction. Most OCR software requires a minimum of 200 dpi, and the font has to be big enough for the OCR software to identify it. Most scanners have a default setting of 300 dpi, which helps the OCR software to identify and correctly extract the textual characters. 

If you want to capture pictures from a textbook, magazine, journal, newspaper columns, or any other reading material to convert the image to text, make sure you use a camera that will capture the image in high density. If the density is low in the captured image, the text extracted will not be accurate.

The process is simple for computers to extract text from images that have been printed in a certain font. They group the matching color groups into recognizable characters and retrieve them. 

Extracting handwritten notes

Today, extracting printed letters from an image is easy, but it’s a different ballgame when it comes to extracting handwriting. Every person has a different style of writing, and deciphering them is like deciphering a doctor’s prescription. That’s why there are boxes drawn on printed forms that you are required to fill in clear capital letters on official documents. This makes it easy for specialized OCR software to extract each letter from the scanned image.

Image to Text OCR Programs 

The entire set of the image to text programs that are offered differ slightly in features. But generally, they process the image of each page by extracting the text characters, character by character, word by word, and line by line. In the early versions of OCR scanners, you would have to wait for ages while it extracts each character, word, and line. But now, they are fast and do a pretty good job. 


Regardless of how good the image to text converter application might be, don’t trust it blindly, especially if you are going to publish it. Read it carefully as the OCR software might have changed a word or two. This is essential, especially if the documents are very old or the printed quality of the text is poor.


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