What is OCR (Optical Character Recognition)?
Optical Character Recognition (OCR) is the process that converts an image of text into a machine-readable text format. For example, if you scan a form or a receipt, your computer saves the scan as an image file. You cannot use a text editor to edit, search, or count the words in the image file. However, you can use OCR to convert the image into a text document with its contents stored as text data.
Content Overview
Usage of OCR
Some of the common usages of OCR are
- Create automated workflows by digitizing PDF documents across different business units
- Eliminating manual data entry by digitizing printed documents like reading passports, invoices, receipts, pay stubs, bank statements, etc.
- Create secure access to sensitive information by digitizing Id cards like Passport, Voter ID, Driving License, credit cards, etc.
- We can also extract information form standard forms like W9, W2, 1040 etc.
- Digitizing printed books like the Gutenberg project
Advantages of Optical Character Recognition (OCR)
Following are the advantages of OCR :
- Information of OCR can be readable with high degree of accuracy. Flatbed scanners are very accurate and may produce reasonably top-quality images.
- Processing of OCR information is fast. Large quantities of text are often input quickly.
- A paper based form are often became an electronic form which is straightforward to store or send by mail.
- It is cheaper than paying someone amount to manually enter great deal of text data. Moreover it takes less time to convert within the electronic form.
- The latest software can re-create tables also as original layout.
- This process is much faster as compared to the manual typing the information into the system
- Advanced version can even Re create tables, columns and even produce sites.
Disadvantages of Optical character recognition (OCR)
Following are the drawbacks or disadvantages of OCR :
- OCR text works efficiently with the printed text only and not with handwritten text. Handwriting must be learnt by the pc.
- OCR systems are expensive.
- There is the need of lot of space required by the image produced.
- The quality of the image can be lose during this process.
- Quality of the ultimate image depends on quality of the first image.
- All the documents got to be checked over carefully then manually corrected.
- Not 100% accurate, there are likely to be some mistakes made during the method.
- Not worth doing for little amounts of text.