When converting stacks of documents containing a variety of global languages into computer text, the pages must be manually separated since common OCR solutions are unable to automatically detect and extract different languages. In addition, damaged pages, poor photocopies and low quality faxes often obscure critical content and require image enhancement before text extraction can occur. Special care must be taken with global language text to preserve important character features that are typically removed when general language enhancement technologies are applied.