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QL2 Software has introduced WebQL 3.0, which reads text represented as images in Web pages and PDF documents using optical character recognition (OCR) technology.

The company says the offering permits data that was previously inaccessible, because it existed as an image, to be completely available for extraction and delivery in an actionable format (Word, Excel, CSV, etc.). WebQL 3.0 also expands file type support to include PPT, DBF, RTF, WML, XSV, image files and self-extracting zip files. QL2 further reports that added file type support, combined with the OCR capability, enables WebQL to target, pinpoint and deliver virtually any information available on the Web or inside the firewall.

The company explains WebQL 3.0 has a number of new enterprise-grade capabilities, including grid computing capabilities, which, QL2 says, provide limitless scalability for large data integration projects. The software is compatible with IBM's unstructured information management architecture (UIMA), as well as service-oriented architectures (SOA) and includes security features to ensure that important data is safely stored and transferred, says QL2.

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