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What Is an Optical Character Recognition (OCR) Scanning Service?

OCR scanning services are a method of digitizing textual information on paper and efficiently managing it as electronic data.

In recent years, there has been a shift from traditional paper-based work to digital work in order to improve productivity.

By utilizing AI technology, even non-uniform character information on paper can be recognized as hiragana, katakana, kanji, and alphanumeric characters, which was difficult in the past.

The use of scanners and cameras equipped with appropriate OCR engines is expected to improve the efficiency of conventional operations. 

Uses of OCR Scanning Services

OCR scanning services are used in a variety of industries, such as finance, services, retail, manufacturing, and municipalities, which used to have a lot of paper-based work.

Currently, there is a shift away from paper-based operations, and there is a need to not only reduce storage space for paper documents but also to improve the efficiency of data management.

To meet this need, conventional paper data can be scanned and instantly converted to electronic data using OCR technology.

For example, until now, the reading of product package labels has been left to visual confirmation.

However, with OCR, it is now possible to check for discrepancies in addition to reading the text, leading to fewer errors in package labeling. 

Features of OCR Scanning Services

In recent years, in order to improve business productivity, the use of digital data has been promoted, moving away from traditional paper-based work.

OCR scanning services are attracting attention as a means of accelerating this trend toward digitalization.

OCR stands for Optical Character Recognition/Reader.

A software called an OCR engine converts text read by a scanner or camera into data. 

Early character recognition technologies were limited to what is called canned form recognition technology, which could only apply a predetermined character frame, position, and size.

However, with advances in AI technology, it is now possible to recognize highly flexible character sets efficiently, such as handwritten letters and numbers.

This has led to a reduction in input errors, a reduction in document storage space, and more efficient data management.