Not really, unless your corpus consists mainly of hopelessly distorted characters.
They state a captcha solving rate of around 90%.
For OCR to be cost-competitive, you typically need it to be correct on about 98% of characters or more; below that and it is typically cheaper to have a human typing in the text than to have a human correct OCR'd text.
Modern OCR engines typically do better than 99% on text that isn't really badly damaged (my MSc. dissertation was on error correction in OCR, and as part of that I tested some engines with pages that had been crumpled, intentionally damaged with sand and liquids, and even then many of the engines managed more than 99%).
Actually they have invented a supplement to OCR software that will work for the characters that OCR is not certain about. The world`s best OCR software would be software that recognizes when it should pass off a patch of text to this new AI engine to decode.
They state a captcha solving rate of around 90%.
For OCR to be cost-competitive, you typically need it to be correct on about 98% of characters or more; below that and it is typically cheaper to have a human typing in the text than to have a human correct OCR'd text.
Modern OCR engines typically do better than 99% on text that isn't really badly damaged (my MSc. dissertation was on error correction in OCR, and as part of that I tested some engines with pages that had been crumpled, intentionally damaged with sand and liquids, and even then many of the engines managed more than 99%).