A Complete Guide to OCR Use Cases in 2024
A Complete Guide to OCR Use Cases in 2024 :Â
Because of the rapid growth of digitalization, every business requires automated solutions to keep up with these technological errands. Manual processing is no longer used; instead, artificial intelligence and machine learning-based automated solutions have taken their place.
OCR is an abbreviation for “Optical Character Recognition.” It is a technology that detects text in digital images. It’s used to detect text in scanned documents and images. OCR software can be used to convert a physical paper document or an image into an electronic text-based version.
Types of OCR Technologies available in the Market
There are various OCR technologies on the market, which can be further classified based on what they capture. The various types of OCR are the following:
OCR (Optical Character Recognition): Based on the current internal database, OCR systems recognize characters or text printed.
OWR (Optical Word Recognition): Optical Word Recognition (OWR) differs from OCR in that it targets all typewritten text and only one word at a time. This method is used for all languages that use spacing to separate the words.
This software, also known as OCR, focuses on one word at a time and works on the text on printed documents. This system is used in languages where any word is split with spacing.
ICR (Intelligent Character Recognition): Intelligent character recognition (ICR) reads and recognizes printed or cursive text using data capture tools. It is one of the advanced methods that uses AI and ML (machine learning) to analyze the various components of a text, such as lines, loops, curves, and so on.
OMR (Optical Mark Recognition): This method ensures pattern recognition and analyzes any paper document’s logos, marks, symbols, and watermarks.
Complete Guide to OCR Use Cases
Businesses use automated OCR solutions to take advantage of cutting-edge technology. It enables industries to reduce manual labor by utilizing technological advancement for error-free results. It is most common in the following fields:
1. Healthcare
OCR is used in hospitals and pharmacies to reduce manual work by retrieving specific information automatically. In healthcare, OCR technology is used to process patient records such as treatment details, test results, and insurance payment history. All information stored in text format is accessible to healthcare sectors at any time with a single click. As a result, it makes it easier for organizations to reduce manual work and keep records up to date.
2. Travelling
The use of optical character recognition technology eliminates the possibility of human error. It enables travel agencies to keep track of tickets, passports, and visas in real time. It has reduced manual workload while also providing security. Passengers benefit from the automation of OCR processing because it reduces the effort of standing in long lines. Aside from providing an excellent customer experience, OCR technology aids travel agencies in the booking and verification processes.
3. Food Industry
Automated processing is used in the food industry to print digital menus. The ingredients and calorie count are listed on the menu. OCR is used to retrieve specific information for inclusion in digital menus. Improving services for a better customer experience saves money and time. A menu is occasionally deleted, and any printed copy is scanned and edited before being saved in a digital database.
4. Technology
OCR services are used in a variety of ‘Information Technology‘ applications, including data mining, image analysis, and speech recognition. A technology is used in the development industry to convert scanned documents back into digital files that can be stored electronically.
5. Manufaturing
OCR applications are commonly used in manufacturing plants to retrieve serial numbers from various products. It is difficult to quickly access information in a database without OCR technology. Because all of the data was in text format, it was easy to find specific information whenever it was needed.
6. Government
Many legal industries must process documents such as identity cards, driver’s licenses, and financial records.OCR technology is more commonly used during license registration or voting, making electronic data retrieval convenient at any time. It improved the registration process because scanning allows data to be stored in text format, which can then be manipulated.
7. Logistics
OCR technology digitally stores invoices, parcel tags, and other documents. Manual document entry is time-consuming and error-prone because employees must enter information into multiple accounting systems. OCR, on the other hand, reads characters across different layouts and improves business efficiency through digital solutions. Many logistics companies use optical character recognition (OCR) to automate invoice processing.
8. Banking
Before opening a bank account, banks are required to verify and store client documents. Processing loan applications and deposit checks necessitates a variety of paperwork. Banks use OCR technology to extract specific information from documents that is required for financial transactions. OCR technology assists banks with document authentication for deposit checks. Because smart technology can identify real transactions, automated OCR technology has reduced the risk of fraud. As it provides transactional security, it protects banking from fraudsters and financial terrorists. Text data is extremely convenient to store, as are digital information records.
9. Education
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Frequently Asked Questions
Q1. How does OCR work ?
Answer : A simple OCR engine works by storing as templates a variety of font and text image patterns. The OCR software compares text images, character by character, to its internal database using pattern-matching algorithms. It is referred to as optical word recognition if the system matches the text word for word.
Q2. What is OCR Full form ?
Answer :Â OCR stands for optical character recognition. It is also called as an optical character reader (OCR) or text recognition. It is intended to convert scanned paper documents or images of documents captured by a digital camera into readable, editable, and searchable data.
Conclusion
With their automated and efficient technology, OCR solutions have aided industries. OCR use cases are expanding all the time. Every industry has now shifted toward digitization, and as a result, they rely on digital means to keep up with this revolutionized era of technological advancements. OCR services have aided in the storage of large amounts of data in electronic databases, making data manipulation and storage easier for every organization.
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