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What is OCR Technology? What’s It For? Learn More about It

Today in every field, the influence of documentation and visuals can’t be overlooked. Most of the time, data is required from these documents or images for information analysis and record-making procedures.

So how can a person get data from images or documents? Is it even possible to convert them into text form?

Yes, it is possible. But how?

Don’t get panic. All of your confusion will be solved after reading this content. So let’s get started.

What is OCR?

OCR stands for optical character recognition. This technique converts images and all types of documents, either scanned, printed, or handwritten, into editable text.

In this technology, both hardware and software work in collaboration—the hardware functions for scanning the image or document while the software works for data extraction.

History of OCR

Ray Kurzweil first used this technique in 1974. He used this technology for developing Omni-font products. He aimed to make a machine to read the text for blinds and educate them.

In the initial stage, this technique was not much advance and worked for a limited number of fonts and languages. But now, this technique has adopted modern AI technology by which it has become versatile and multifunctional in its processing and output.

Working methodology of OCR

In general, OCR works through a pattern of black and white color. By using a scanner, the system develops a two-color document. The black color indicates the ‘characters’ present in the image or document, while the white color indicates the ’empty spaces.’

Steps of OCR

The complete OCR process involves five steps. These steps are:

1. Image uploading

To perform OCR, the first step is image import from the system. OCR developers can take any image, such as JPG, PNG, etc., or document documents, PDF, etc., from the computer memory. You can also add Word or PowerPoint files to this developer kit.

2. Image pre-processing

In this step, the image quality is scanned. The image gets optimization through various functions like image rotation, cropping, mirroring, etc.

All these procedures make the image text visible and clear so that the extraction process works smoothly.

3. Data analysis

OCR tool kit analyzes the whole document and each page keenly. The advanced AI algorithm points out in which area text is present and tells us about the document layout.

4. Data recognition

This step is crucial. In this step, OCR recognizes the font and language of the text. A Black and white color pattern is developed for characters and empty spaces.

In this step, language and mathematical equations or scientific formulas are also identified.

5. Document finalization

This is the last step. After text extraction, it is presented in the form of a document. You can select the document type and font. The settings can also choose a language.

In this step, you provide your required layout to the OCR, and OCR works according to it and reports it in a favorable format.

How to perform OCR?

There are different tools available on the internet that can perform OCR functions for you. These tools can extract text from every kind of image and scanned document.

These tools can be different in their features and function, but their ultimate task is the same. OCR software can be free or have some charges.

There is a long list of OCR tools. Out of this list, the most credible are as follows:

OCR.best

OCR.best is a free OCR tool that can help you in image conversion. The text obtained is editable.

How to use this tool?

To use this tool, you should have to follow these basic steps:

Why should I use this tool?

Prepostseo.com

It is a famous and reliable tool for data extraction from images and documents. With this tool, you can also extract text from blur images and screenshots.

 

How to use this tool?

Follow these basic steps to perform OCR:

Why should I use this tool?

Imagetotext.info

This is also a basic tool to perform OCR. Its usage and features are given below.

 

How to use this tool?

To get your result, follow the steps:

Why should I use this tool?

Advantages of OCR

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