I hope that you have already read Part 1 of the blog series. If you need more time, you can find it suitable. Today’s blog will focus on the advantages of optical character recognition (OCR) and future and present uses.

Let’s get to it!

OCR has many benefits

OCR technology automates tasks and saves time. This technology benefits industries that want to achieve high-quality results quickly.

Many industries now focus on OCR solutions to meet their business needs. This makes the process more efficient. Many businesses around the globe have found digital transformation to be increasingly essential thanks to Covid-19. OCR is crucial in automating tasks that don’t require human intervention.

OCR (Optical Character Recognition) technology has many benefits.

Digitization – OCR allows you to digitize scanned text images, PDFs, printed materials such as books, newspapers, and documents like receipts, invoices, and passports. This allows you to easily store, search, share, and even share the information in these materials.

 Automation: OCR can automate invoice processing and data entry tasks. It is now easier and faster to process large amounts.

 Increased Accessibility: OCR made printed materials and scanned documents more accessible to read for people with visual impairments. OCR allows them to be read aloud using screen readers and other assistive technology.

Searchability. OCR allows you to search specific words and phrases in a document. This makes it easier to find what you are looking for.

Preservation: Operative Character Recognition (OCR) can be used to preserve books, newspapers, and historical documents. Archive documents that might otherwise be lost due to decay or other issues.

Cost-Effectiveness: OCR helps businesses and organizations save time by reducing manual data entry and physical storage space for paper-based documents.

Multilingual support: OCR software recognizes and extracts text from many languages. This makes it an ideal tool for businesses that work in multiple languages.

OCR technology can be a powerful tool to speed up workflows, reduce costs, preserve information, and make it more accessible.

Let me share some critical OCR applications in the industrial sector.

Current OCR use cases across industries.

Here are some industries that use OCR technology.

Healthcare: OCR can be used in healthcare to extract medical information. This information could include the patient’s medical history, laboratory results, and claims. This allows for quicker and more efficient processing. This can help improve the accuracy of diagnosis and treatment plans.

Finance: Operative Character Recognition (OCR) is used to process financial documents like invoices, receipts, and bank statements. This speeds up the process and allows for more precise data entry, which can improve accounting and financial management efficiency.

Law: OCR can process legal documents like briefs, contracts, and court transcripts. This makes document management faster and more efficient, and it can improve the accuracy of legal research.

Retail: OCR can process documents like purchase orders, shipping labels, and inventory lists. This allows for quicker and more precise data entry, which can improve retail operations efficiency.

Banking: Operative Character Recognition (OCR) is used to scan and extract data from handwritten cheques and verify the signature. This allows cheques to be cleared in real-time.

Government: Operative Character Recognition processes many government documents, including tax forms, voter registration forms, and passport applications. This is a great way to increase efficiency and improve citizens’ services.

Supply chain/Transportation: OCR is used to process shipping and logistics documents such as bills of lading and shipping manifests. This will improve efficiency and track and see shipments better.

Here’s a peek into the future.

Future OCR applications

OCR technology is adapting at a rapid pace in many industries. This technology will continue to evolve and be used in innovative ways.

These are some future uses of OCR.

Recognition of handwriting: OCR will improve their recognition of cursive and script, making it possible to digitize and process a wider variety.

Intelligent document processing: OCR technology will be integrated with machine learning and artificial intelligence, enabling it to interpret text context and meaning and automate complex document processing.

Automatic translation: OCR technology is a way to translate text from documents automatically. This technology will allow you to overcome language barriers and improve communication.

Voice recognition: OCR can be combined with speech recognition technology to convert spoken words into text automatically. This will improve accessibility and make technology more accessible for people with disabilities.

These are examples of OCR technology that may be used in the future. However, OCR technology is constantly evolving, and new applications are being developed.

Alternatives to OCR

There are many options available as technology evolves so quickly.

ICR: ICR can recognize handwriting and is similar to OCR. Advanced algorithms are used to identify writing and convert it into machine-encoded text.

ICR/OCR: This technology blends the benefits of OCR and ICR. It can recognize printed and handwritten text.

QR code recognition and barcode recognition: QR code recognition technology extracts information from QR codes and barcodes. This technology can be used for automating tasks like inventory management.

HTMLTR (Handwritten Text Recognition: HTMLTR is a technology designed to recognize handwritten text. It is used for document scanning, digital pen, paper, and other applications.

Speech recognition: Speech Recognition technology converts spoken words into machine-encoded text. This technology can improve accessibility and make it easier to use technology for those with disabilities.

ABBYY FlexiCapture and ABBYY FineReader are some examples of commercial software that could be used in place of OCR.

It is worth noting, however, that these options can be combined with OCR to increase the accuracy and efficiency of the process depending on their specific purpose.

OCR technology is used in many industries. OCR technology is set to improve and be used in new ways. There are many alternatives to OCR. Each has its advantages and disadvantages.

Drop us a line with any thoughts or comments about this blog. You can also visit Nitor Infotech for more information about our work in the cognitive engine realm.