Using OCR for File Classification

Using OCR for File Classification
In 24 July 2016 - Written By

Optical Character Recognition or what is known as OCR is a way or a technique that is used to convert the documents (PDF, scanned papers, images, etc.) into an editable and searchable data.

However, File Classification is a way of sorting and categorizing files and data in a way that eases the management of the organization to be able to adapt the regulatory changing business environment easily.

Besides, it is worth to mention that OCR has limitations while using it for file classification. File classification allows the administrators to manage the data and its policy and apply any requirements if needed. While such limitations can be mentioned as follow:

1- Text-Based System

Sometimes, OCR cannot convert the large or the small font sizes. So, as a text-based system, it may happen that some important characters cannot be available.

2- Special Character

Sometimes, the OCR software cannot recognize the special characters that many languages have.

3- Multiple Tasks

There are files that contain multiple documents (like images) and OCR is not able to provide a conversion or a correction to all at once.

4- Logos or Map Symbols

Sometimes the file contains non-textual characters that cannot be converted like the logos and the map symbols. OCR cannot handle such non-textual characters.

5- Letter Case

While using the spell checker for OCR, it does not recognize any difference between the same two words if it only differ in their letter case (capital letter or small letter).


While using the Optical Character Recognition, it is vital to know everything about it and how it works and its techniques.