OCR Accuracy Rates
OCR is optical character recognition. OCR technology is not perfect. A hundred percent OCR accuracy rate does not exist. The OCR engine makes use of complex algorithms of mathematical nature and pattern recognition to give a good text file output. You can optimize the settings of an OCR engine to help you but this may put you in more problems as the solving of one problem leads to the creation of another.
The accurate recognition of the texts is now a problem that has been greatly solved. Typical OCR accuracy rates have exceeded ninety-nine percent. However, some applications do insist on higher OCR accuracy rates or else they will need human supervision once again. You can also correct the errors by making use of spell check.
The best conventional products of the OCR software have shown an OCR accuracy rate of ninety eight percent on recognizing the text of a typical quality document image. This level of accuracy does sound good but you should know that it would leave errors of about forty per two thousand words.
This is what the typical OCR does. You can employ prime OCR to get better OCR accuracy rates. For the same amount of two thousand words, the OCR accuracy rate will be lower. It will be around eight words per two thousand words in comparison with the typical one. The prime OCR reduces the error rate by about sixty five to eighty percent.
Some users choose to correct the high level of error correction at the cost of addition labor. Many others are relying on their fuzzy search to filter the complete OCR data even though it takes a lot of their time and costs quite a bit of money. It is easier and safer to rely on the prime OCR accuracy rates than on your own fuzzy search.
It also saves you a lot of money, the time it takes to check your document is very less, and hence you are saving on time side by side. It also provides you with data that is much cleaner than what you yourself can do in the same time!