OCR and Indexing to Intelligent Cloud Archive From HubStor

HubStor, Inc. announced the availability of OCR support for images stored in the company’s cloud archive system.

Customers can search within scanned documents and standard image formats such as TIFF, JPEG, PNG and multi-page PDF files.

The service integrates data classification features with the indexing and OCR process to automatically detect and tag private or sensitive data residing in images, such as credit card numbers and other Personally Identifiable Information (PII).

The company also lets customers apply OCR indexing to particular datasets within their cloud archive so that clients are not required to incur the cost of OCR processing entire corpus of content. Instead, customers can restrict OCR processing to specific folders, date ranges, file types or security permissions.

OCR is critical feature for long-term retention cloud solutions for following reasons:

• Compliance – Organizations that need to comply with the E.U.’s General Data Protection Regulation (GDPR) will be able to identify personal data held within scanned documents and pictures and perform proper data governance practices to meet compliance requirements easily.

• Legal – Organizations with e-discovery requirements have a more comprehensive searchable archive.

• IT and datacenter and transformation – IT teams operating under datacenter transformation mandates can replace legacy OCR practices on-premises with the company’s managed Software-as-a-Service (SaaS) approach.

“Customers can use HubStor’s OCR support retroactively against content they already have in the service,” said Geoff Bourgeois, CEO, HubStor. “Going forward, with the OCR feature enabled, any new content coming into HubStor – whether from file systems, SharePoint, email or other data sources – will have automatic OCR processing if the content meets the indexing rules defined by the customer.“

The OCR features in HubStor are available.