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RAD Software Solutions: ADVANCED OPTICAL CHARACTER RECOGNITION (OCR) compliant with EFACS ERP
The Advanced OCR Module for File Stream Document Scanning facilitates and enables the translation of typewritten, printed or neatly handwritten text on scanned document images into machine encoded text, typically for the purpose of data indexing.
Do you have staff in your company that consistently receive documents, which then need to be manually re-keyed into one or more systems? If so, an OCR solution should be a serious consideration as it could instantly save you a lot of time and money.
As a technology function, the history of Optical Character Recognition spans well over 50 years. The first company in Britain to adopt OCR technology was the General Post Office (GPO) in 1965, an organisation which would later (in 1981) split into what has since become British Telecommunications (BT) and Royal Mail/ The Post Office. GPO’s development of the National Giro, using OCR technology would ultimately revolutionize bill payment systems in the United Kingdom. OCR has developed significantly over the years to the extent that is more powerful than ever but is also now affordable to organisations of all types and sizes. The Advanced OCR Module for File Stream is no exception, offering a very cost effective solution that provides highly reliable capture results for populating index data.
The Advanced OCR Module for File Stream sets itself apart from what would historically be a sophisticated and expensive mechanism thanks to:
- Fast and consistently high read rates.
- Simple yet highly configurable recognition of template profiles
- Inbuilt correction tools that minimise the requirement for manual adjustments.
- A flexible licensing model to keep costs down.
Customers use the Advanced OCR module for numerous functions. Typical applications have been for the automated processing of Supplier Invoices and the automatic indexing and storage of POD (Proof of Delivery) paperwork. However, the most common use is for the accumulation of searchable archives which, for example, allows you to identify all of the documentation in your company that contains one or more specific key-words.
