PDFxStream is used by companies and governments around the world to process billions of documents yearly.
These are just a few of their stories.
Zinio uses PDFxStream as the foundation of its digital magazine and book search features, which index every issue of every magazine from over 250 publishers that are digitally distributed to over 3.5 million readers each month.
"PDFxStream provided near-perfect results; it dwarfed any other software that we evaluated." Neil Gandhi, Junior Software Engineer, Zinio
Reporting Requirements of U.S. Congress Leads The National Institutes of Health to Implement PDFxStream
The National Institutes of Health (NIH) is successfully using PDFxStream to automate the text extraction process for thousands of archived research grant applications in PDF format. The process is enabling the NIH to feed its content analysis systems with thousands of archived grant applications, and in turn generate more accurate funding reports required by Congress.
“We ended up not using any of these open-source APIs because they could not provide the functionality and the quality technical support we needed,” said NIH Senior Software Engineer, Mark Yu. “By the time the project is complete, [PDFxStream] will have saved us thousands of man- hours, while also improving text extraction accuracy.” Mark Yu, Senior Engineer, NIH
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The State of Michigan has deployed PDFxStream to support essential reporting requirements in its revamp of a key statewide service delivery system.
"PDFxStream was selected because of its capabilities, ease of integration, ease of use and performance." Chris Weiss, System Architect, State of Michigan
GWAVA is successfully using PDFxStream to enable its Retain email archiving and retention solution to archive and index millions of PDF email attachments each day. This pairing enables GWAVA to deliver to its customers more comprehensive and capable email archiving processes that comply with corporate auditing requirements and government regulatory measures.
PDFxStream was the only solution that clearly had the primary goal of quality text extraction, rather than handling that as an afterthought. Michael Bell, Vice President of R & D, GWAVA