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Friday, October 7, 2022

Effective Uses Of OCR Technology Across The Industries

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The use of the image to text converters is increasing, as everyone is looking for smarter solutions. The service is used all over the world with various industries also applying it as their main counterparts. This effective conversion from images into text is possible due to the OCR technology. The technique holds a great amount of market share in the world. Recent searches show the market size increasing with each iteration of the software update. The OCR market held a value of over USD 8.93 billion in 2021, this amount will increase in later years, estimated to touch the USD 10 billion mark.

What Is OCR?

OCR is a technique that is applied to convert the textual data within images into digital data which can be interpreted by the machine. OCR stands for optical character recognition. It was introduced back in the 1900s, by the concept of telegraphy. Later the telegraph became non-functional as the OCR system adopted the digital approach for processing data. Optical character recognition is a business process that saves time and resources for the organization. It utilizes automated capabilities to convert data and store it in a digital format. Getting famous in the 1990s, the OCR system is now widely used as a necessary tool for businesses across the globe.

Types Of OCR Systems

The OCR systems have been immensely utilized and the addition of new technologies has enabled more routes to success. Different industries use it worldwide, and each organization adopts its own version of the optical character recognition app. The technology has developed three types which are a part of the mainstream market. All three methods are a part of this blog.

Desktop Based OCR 

This is an old-school way of converting the image data into text by using desktop-based OCR systems. These software solutions were the first examples of the OCR solution in the image-to-text conversion history. It uses the character recognition implementation via desktop software. The images were provided to the application through media transfer via bluetooth or a scanner in cases of physical photographs. The images are then processed and converted into text.

Mobile OCR

The most widely used tool today is mobile OCR. The implementation of this technology on mobile phones has changed the whole perspective of image-to-text conversion. The smartphone industry made a huge impact on the OCR market by implementing this technology successfully. Most users have experienced the working of OCR on mobile. Major smartphone brands like Samsung and Apple provide built-in solutions to document scanning. Optical character recognition uses the smartphone camera to take input of the images from the user. The application directly analyzes and converts the data in real time.

Cloud OCR

This is another type of OCR implementation on the cloud server architecture. It is implemented on the cloud servers to enable the extraction process right from the workspace. It is also effective in fast conversions as it doesn’t require any software installation from the client-side. The whole process is carried out from the cloud via an internet connection. Desktop and mobile phones both can utilize this service by accessing the cloud for image conversion. The cloud OCR solution accepts images from any source via an image uploading platform. It analyzes and processes images right from the cloud and outputs the text to the client.

The UseCases Of OCR Solution

OCR services are adopted by almost every sector. Some industries use it for enhancing user experience while others use it for catching criminals. The applications of OCR are more than expected at the beginning of this technology.

OCR In Educational Institutes

Educational institutes use this software solution to maximize learning. The new way of digital learning has increased the literacy curve of many countries. They use this solution for the purpose of image-to-text conversions which also reduces the time of working. The manual data entry work is minimized as the automated AI-based OCR systems process the data efficiently. They read the text from images and extract it for digital transformation.

OCR In Identity Verification

The identity verification solution is improved by the introduction of OCR, especially the online method. With OCR technology organizations and businesses can effectively process the user identities by evaluating their legal documents. The data from the client documentation is extracted and processed to verify the genuineness of the client through document verification. Data including name and date of birth is extracted using the OCR technology.

Conclusion

The manual methods of the image to text conversion are eliminated by the introduction of OCR in the industry. With optical character reading the organizations are able to process textual data from images. Talking of images, OCR can not only process images, but also billboards, signboards, and all text-containing elements to convert them into editable data in real-time. The best example of this conversion is the mobile OCR which is also used by day-to-day users.

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