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Snowbound Launches OCR Support for Smart HTML5 Viewing & Conversion

Feb 21, 2018

Optical Character Recognition (OCR) support allows users to turn documents into completely searchable files

Waltham, MA (February 21, 2018) – Snowbound Software, the market leader in document viewing technology, today announced the addition of OCR (Optical Character Recognition) support to VirtualViewer®, the firm’s award-winning pure HTML5, web-based document viewer, as well as its conversion SDK.

The latest version of VirtualViewer® HTML5 allows users to perform text and pattern search on files such as PDF, TIFF, JPEG, and PNG, as well as text selection after the document has been OCR’d.

“We’ve had many requests from our market for the ability to OCR a variety of documents,” said Snowbound CEO Simon Wieczner. “We are confident this addition to VirtualViewer will help our customers better search, review and collaborate on their documents without ever having to leave the viewing interface.”

To OCR a document in VirtualViewer, all a user must do is search for text in a non-text document to get the OCR prompt. The original image will overlay the OCR’d textual data to maintain the greatest similarity to the original document, while the search text string is highlighted on the client’s display. The user also has the option to then individually extract, redact, or batch redact all matches, as well as apply redaction tags to the results.

Along with being available in Snowbound’s universal web viewer, VirtualViewer HTML5, it is also available in the firm’s powerful document conversion SDK, RasterMaster.
“We anticipate the greatest use of OCR will be in our VirtualViewer product because of the added ability to search any document, whether raster or textual,” said Wieczner. “Our customers are accustomed to sophisticated tools and this feature adds to the powerful workflow capabilities provided by our pure HTML5 document viewer.”

Snowbound currently deploys an OSS OCR engine for Windows systems. Additional OCR engines will be added as demand requires.

To see a quick video demo of the OCR support, click here.