How OCR Tool Can Help You Extract Images From Text?

Most of us are familiar with Optical Character Recognition (OCR), but how can it help us? Consider a common, everyday scenario: we want to extract an image from the text for posting online or elsewhere. This is something that we might do for DIY blogs or social media accounts, such as Pinterest boards, Facebook pages, or other websites. 

While some readers may be fully capable of reading and understanding drawings or images created by hand in written form, others may not have that skill, so there’s no point in creating posts intended solely for those people. If you find yourself in need of extracting an image from the text on a regular basis, then there’s no better time than now to learn more about OCR software and what it can offer you. 

In this article, we are going to discuss how OCR tools can help you extract images from text and make it very easy for you to understand them as well.

What is an Optical Character Recognition (OCR) tool?

An OCR tool is an application that will allow you to convert a scanned image into text. The easiest way to think of it is as a reverse scanner. Instead of scanning in a document, you would scan in an image and then use an OCR program to extract what you want from that image. 

Usually, people use these tools for converting images of text into editable text, which can then be edited or manipulated like any other word processing program. You can also use these tools to convert images of text into actual files – like PDFs or DOCs – which can be printed off again later or shared with others using traditional file-sharing methods.

How OCR Works to Extract Text from Images?  

High-performance Online OCR tool “image text converter” uses a three-step process to extract text from images as quickly as possible. Using OCR technology, you can easily extract text from image online for creating documents. Here’s a detailed explanation of how well online image to text converter works to help users:

1. Image Analysis

Online image to text converter inspects an image as soon as it is uploaded to check the text layout and collect precise data about specific formatting components. This basically identifies the locations where the textual data is located and establishes how the extracted text will be organized at the end of the process.

2. Character Recognition

The next step is to determine which language each character on the image is recognised in. Online tool analyzes each character in turn to determine the language it represents before decoding each word in the predetermined text flow. In essence, our tool recognises written text by using its wide vocabulary.

3. Text Extraction

The image to text converter primarily concentrates on extracting the recognised characters (words) in the designated text layout in order to complete the process. It makes sure to extract the textual information without altering or omitting any of the data. Our tool immediately displays the retrieved text after the text has been extracted.

Does OCR Work Effectively to Extract Text from Images? 

Optical character recognition (OCR) is a feature that lets you extract text and images from photos of documents. Some types of media, such as PDFs and scanned receipts are not supported by OCR or machine learning. If you need to extract text from one of those files, use search and replace in your image editor to find and replace specific characters. 

You’ll probably want to change each instance of a character into an empty space to keep it consistent with other characters on your document, rather than replacing them with a symbol or digit. Once your file has been updated, it should be ready for OCR extraction.

The following elements affect how effectively the text can be extracted from the image:

  • features of the OCR tool
  • English used in the text
  • Dimensions of the image
  • Font size and typeface
  • Backdrop of the picture
  • Design and organization of the text

The OCR tool must guarantee high performance above all else in order for the photos to be accurately translated into textual data. The quality of the output improves as the tool’s capabilities increase.

Features to Choose the Tool 

On the internet, there are many excellent image to text converters.

Just make sure that the tool you use does not compromise text quality.

To put it more plainly, you should make sure that the OCR tool you select has the features listed below.

  • Extensive dictionary
  • Multilingual support
  • High Resolution
  • Accurate document analysis  
  • Quick character recognition
  • Error-free text extraction 
  • Multiple format support

Bottom Line

The recognition of characters on scanned documents or image files is made easier by OCR technology. It enables an online tool to swiftly evaluate the image file for the identification of the text format, language, and words when used with edge-cutting algorithms. Simply put, OCR extracts the characters from the image in the form of a well-structured text using its huge database to recognise each character.

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