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Home Technology

What is Optical Character Recognition (OCR) Technology?

by Abraham Aali
in Technology, Software
Reading Time: 3min read
Optical Character Recognition
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Optical character recognition (OCR) equipment is a commercial solution for extracting data from printed or written text in a scanned image or image file and translating the text into a robot format for data processing such as editing or searching. This technique is used widely to convert images to text converters online and hence a very handy way of preserving crucial information in no time.

Table of Contents hide
1. RelatedPosts
2. The Role of Artificial Intelligence in Business: Opportunities and Challenges
3. 7 Marketing Tips for Yoga Businesses to Get and Retain Clients
4. What Is The Process of OCR?
5. OCR Advantages
6. Cases Involving OCR Use
7. IBM and Optical Character Recognition
8. Last Words

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Anyways, let us get to the point of discussion. In this read below, we will be discussing some facts and figures about optical character recognition technology.

Stay with it!

What Is The Process of OCR?

A scanner is used to process the physical shape of a document in optical character recognition (OCR). OCR software turns the document into a two-color or black-and-white version once all pages have been duplicated. It acts as an image to text converter available free online.

The light and dark parts in the scanned-in image or bitmap are detected as characters that need to be recognized, although the light areas are designated as background.

Optical Character Recognition

The dark patches are next analyzed to determine if they contain alphabetic letters or numeric digits. This stage usually consists of focusing on a single character, word, or block of text at a time. Following that, one of two algorithms, pattern recognition or feature recognition, is used to identify the characters. That is indeed the best method to convert images to text online.

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OCR Advantages

The primary advantage of optical character recognition (OCR) technology is that it makes data entry easier by allowing for quick text searches, modification, and storage. It aids to convert images to text converters in seconds and without any distortion.

Businesses and individuals can use OCR to keep files on their PCs, laptops, and other devices, guaranteeing that they have constant access to all documents.

The following are some of the advantages of using OCR technology:

  • Cost-cutting
  • Workflows should be accelerated.
  • Automate the routing of documents and the processing of content.
  • Data should be centralized and secured (no fires, break-ins, or documents lost in the bank vaults)
  • Ensure personnel gets the most up-to-date and correct information to improve service.

Cases Involving OCR Use

Converting printed paper documents into servo text documents is the most well-known application case for computer vision (OCR). After OCR processing, the text of a scanned paper document can be altered using a word processor such as Microsoft Word or Google Docs.

Many well-known networks in our daily lives rely on OCR to the image-to-text converter, which is typically utilized as a covert technology.

Data input automation, assisting blind and visually impaired people, and indexing documents for search engines, including passports, license plates, invoices, bank accounts, business cards, and automatic number plate identification, are all important, but lesser-known, use cases for OCR technology.

By turning paper and scanned picture transcripts into machine-readable, searchable pdf files, OCR allows big-data modeling to be optimized and further aids in extracting text to image online. Without first applying OCR to documents with no text layers, processing and retrieving vital information cannot be automated.

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IBM and Optical Character Recognition

IBM, as a worldwide technology leader, is always developing new and enhanced software for both business and personal usage.

IBM has improved its image retrieval capabilities throughout the years by merging it with artificial intelligence (AI) that overall assists in converting images to text without any hurdle in seconds. Creating document templates alone is no longer sufficient since businesses demand insights as well.

Combining AI and OCR is proven to be a winning data collection technique, with recognition software collecting data and comprehending content at the same time. In reality, this means that AI technologies can check for errors without the assistance of a person, allowing for more efficient fault management and time savings.

Last Words

In this read, we had a discussion regarding the photo-to-text conversion by using the OCR methodology.

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Abraham Aali

Abraham Aali

Abraham Aali is a Staff Writer for Biztech Age. He covers industry news, including interviews with executives and industry leaders about the products, services and trends affecting small businesses, drawing on his 20 years of marketing knowledge.He holds a Master’s degree in Business Administration from Qatar University and MSIT from King Abdulaziz University.

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