See the Digitization of Government Records in Action

With a bold implementation of artificial intelligence, the U.S. Nuclear Regulatory Commission becomes the first Federal agency to integrate data from millions of documents with virtually no human interaction.

digitization of government records case study — Download Our Case Study

Read on to discover how they integrated data from over 50 million pages of records in under 2 years.

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With a bold implementation of artificial intelligence, the U.S. Nuclear Regulatory Commission becomes the first Federal agency to integrate data from millions of documents with virtually no human interaction.

Federal records management regulations were at the center of NRC’s incredible workflow innovation. But they were also driven to balance efficient, accurate, and secure data workflows within the demands of budget constraints and transparency.

Read on to discover how they integrated data from over 50 million pages of records in under 2 years.

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Million Microfiche & Aperture Cards

Million Scanned Forms & Documents

=1 MASSIVE

Manual Data Entry Effort

1 MASSIVE

Manual Data Entry Effort

Discover how the NRC achieved a 50+ million page data migration in just two years, meeting these stringent digitization of government records requirements:

Automate data collection on scanned forms
Accurate OCR – all documents, all words
No dependency on barcodes
Extract up to 20 metadata elements per document
Compare extracted data with internal NRC databases
Link all metadata with the A.D.A.M.S. database
System must scale to new use-cases
50 million pages processed in 2 years
One SKU, no document conversion services requirement

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digitization of government records

Shockingly Powerful Government Innovation Disrupts the Future of Document Workflow

With a bold implementation of artificial intelligence, the U.S. Nuclear Regulatory Commission becomes the first Federal agency to integrate data from millions of documents with virtually no human interaction.

Download the case study to learn more!

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