Extraction Of OCR Datasets And It's Use Cases

Small Glance To OCR

Transportation is a sector that handles massive amounts of data. Many industries are still using outdated technology because Optical Character Recognition (OCR) is a relatively new automation of business process technology. But, OCR technology is anticipated to be essential for businesses as companies rapidly transition to digital. OCR APIs help with forms and other documents using intelligent data extraction technology for logistics. OCR APIs help to communicate between customers, suppliers, and vendors by providing precise data and changing unorganized formats into structured ones.

Modern OCR software has AI-based processing capabilities that allow recognizing handwritten words in multiple languages, enabling visual data capture using cognitive technology and processing these documents with staggering speed and precision. OCR Datasets operates by scanning each character on a page with machine learning. It allows the uploading of documents that are text-based instead of visual documents. Every printed paper can be easily and quickly scan able with this technology, such as utility bills and contracts, invoices receipts, invoices, and more.

Communication Using OCR

  • OCR for Banks
  • Insurance OCR
  • OCR in Healthcare
  • OCR in Legal
  • OCR in Retail
  • OCR in Tourism

Digitalizing unstructured books and materials to enable human-to-human interaction are one of OCR's most popular applications. One example could be OCR technology employed for Google Translate, which allows users to read any language.

OCR in Banking

The use of mobile banking apps, in which your checks can be electronically deposited and processed within a couple of days due to the OCR-based check depositing feature, can be one of the applications to use OCR in the banking industry. The monitoring and analysis of information about clients, such as security and personal information, is another way to use OCR in the banking industry. A large quantity of data entry linked to bank accounts is essential to conduct banking transactions. OCR technology can facilitate efficient workflows with consistently high text recognition accuracy.

Insurance OCR

OCR could help in the growing insurance industry. In particular, OCR can automate insurance claims processing for quick transactions.

OCR in the Legal

OCR Legal Field OCR enables law firms to print their documents, like affidavits documents, rulings, declarations, and wills, in addition to other documents, converted into digital format.

Healthcare OCR

The healthcare industry can gain significantly from OCR. OCR technology can digitize data from reports containing X-rays, patient treatment histories, tests, diagnostics, and general hospital records. Just by scanning their passports on the hotel's website or mobile app, guests and travelers can check in instantly through OCR.

Retail OCR

Customers can now redeem vouchers using their phones to scan serial numbers with the help of mobile OCR. Outsourcing data capture is needed to manage valuable data better. The development of business automation processes can be efficient, specifically machine training, accessible all the time, and operates much faster than human specialists, continuously increasing the efficiency of outsourcing Dataset For Machine Learning to capture.

OCR is a critical component of Travel Machine learning that continues to improve, extending beyond data collection to store large applications in various sectors.

Steps For Extracting OCR Datasets

Two factors make our OCR solution from other solutions:

1. Instead of template templates,  It can use NLP to recognize entities within documents. It lets us remember the names of companies, bank details, sums, prices, etc., regardless of the location within the document. Find out more about the disadvantages of using templates.

2. In addition, machine learning allows us to rectify issues that conventional OCRs cannot detect by automatically creating an environment for processing the document. To find out how the OCR scanners documents in an exact manner, 

What is the process of implementing OCR put into place?

Step 1. When you first install our software for optical character recognition to any other application, you will generate an API key for your computer or mobile. Our agents will provide you with the API key to use even for testing purposes so that you can scan documents without any issues.

Step 2. To start scanning using a program as a computer app, a mobile application with white labeling, or a cloud service. Upload any file to the program in the following formats: PDF, JPEG, TIFF, PNG, and so on.

Step 3. Our program takes the data. We can also modify it to obtain any other information you need. The lines and other essential fields include the logo, the expense type, the Merchant name, the date of transaction, the amount and VAT/GST, the currency business name, VAT/GST, etc. The OCR software calculates the confidence scores for word level and character level. These scores show if the OCR software believes the knowledge it gathered to be accurate.

Step 4. Based on your requirements, the information extracted is available in various formats, such as XML, CSV, JSON, and more.

GTS.AI Offers You OCR DATASETS To Train And Validate Your AI Business Models

Global Technology Solutions (GTS.AI) has got your business covered with premium quality dataset. With its remarkable accuracy of more than 90% and fast real-time results, GTS helps businesses automate their data extraction processes. In mere seconds, the banking industry, e-commerce, digital payment services, document verification, barcode scanning, Image Data Collection, AI Training Dataset, along with Data Annotation Services and many more can pull out the user information from any type of document by taking advantage of OCR technology. This reduces the overhead of manual data entry and time taking tasks of data collection.

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