It is estimated that 20% of documents in a document management system are undiscoverable. Do you consider this a problem?

DocsCorp is offering Autonomy iManage and OpenText eDOCS users a free risk assessment to help determine the number of non-discoverable documents in your DMS.

Documents often get profiled in the Document Management System (DMS) through a variety of workflow loopholes – fax, scanner and users profiling email attachments. These image-based document workflows bypass the OCR processing that would make them text-searchable. Once in the DMS, these documents become completely “invisible” to the search engines.

“Businesses have made considerable investments in Document Management and Search technologies, but it is estimated that 10-20% of documents in a DMS are non-searchable. This figure represents a significant risk to any business. Its reputation and financial well-being could be impacted simply by failing to produce a specific document on demand,” says Ben Mitchell, DocsCorp Vice President, EMEA.

pdfDocs Content Crawler provides a framework for searching an entire DMS database or a subset of documents based on specific DMS queries. The Content Crawler OCR module identifies non-searchable content in image files, PDF files and even looks inside attachments to emails. The files are converted to text-searchable PDFs using DocsCorp’s OCR technology and saved back into the DMS. Content Crawler can search and convert backlogs of legacy documents as well as actively monitoring newly-profiled documents. 

The current release integrates with Autonomy iManage 8.2 or higher and Opentext eDOCS DM 5.1.05 or higher. Further DMS and Content Repository integrations will follow.

Register your interest.