Image To Text Converter
Before 2000, we probably couldn't imagine what it would be like to see 4K videos or high-res images. These things are quite common these days. We wake up in the morning with the alarm app on our smartphones, read the news on our tablets and edit our documents on our laptops. That said, what happens when you need to extract text from an image? How to convert an image to a text document?Let's find out below. How was the ImageToText converter created? Nowadays, we can do almost anything with computers and the Internet. Saving, editing or deleting a document can be done with a few clicks, and if you want to share it, you can do it easily. that's so many things you can do with text editing programs. At some point in your life you may need to work on some text, the only problem is: the text is trapped in an image file! What can you do?You will be happy to know that a program called ImagetoText Converter was invented a few years ago. It is inspired by a reading technology used for the blind in 1914. Originally developed by Emanuel Goldberg, this technology was improved and could convert texts into telegraph codes. A few years later, the technology was further developed under Kurzweil Computer Products Inc until it was able to successfully generate computer text from physically printed text. Xerox then bought the aforementioned company and began selling this technology under the name “Scabsoft”. A few years later, this technology was further developed, so that you can translate text on an image to generate text that you can edit on your computer.Since then, this type of file converter can easily be found online for your convenience. Types of ImagetoText converters There are four types of ImagetoText converters, classified according to their mode of operation: Go On Our site
https://www.ocr.best OCR or Optical Character Recognition - scans one character at a time Optical word recognition - scans one word at a time Intelligent Character Recognition: a learning machine that can analyze text by targeting one character at a time Intelligent Word Recognition: a learning machine that can analyze text by targeting one word at a time The OCR application OCR or optical character recognition is not applicable only for reading the blind but also in various types of technologies such as: Data entry Automatic plate recognition Passport recognition Traffic sign recognition Systems anti-bots CAPTCHA Text recognition systems At the start of the development of a text recognition, there are two types of algorithms used to develop the software: Matrix Matching 98 7 This technique was the first algorithm created for this text recognition technology. The latter uses the images of a printed text then stores the images of the different characters to compare them. This process is also called pattern recognition. This algorithm works best with typed text characters and is not suitable for texts containing new, unsupported characters. Feature extraction This algorithm was adopted after the Matrix Matching technique. Feature extraction uses features of characters or alphabets such as lines, loops, or intersecting lines.Therefore, this technique is much better and is the one currently used for ImagetoText converters of our time.