Exonar announces new OCR feature to recognise, index, search and analyse the text within images
Newbury, Berkshire, UK – Exonar is delighted to announce that their Data Discovery Platform now features OCR functionality to add to their ever-growing product armoury. OCR (Optical Character Recognition) extracts text from images and documents containing images making the extracted text searchable. This includes images resulting from scanned paper, PDF image files, and images captured by a digital camera.
Speaking about this exciting new development, Richard Jones, CTO at Exonar says “OCR provides significant value to Exonar customers needing to search and analyse the text within images. Given the large volume of scanned paper and images in general, the ability to not only search but also automatically detect, analyse, and act upon valuable information within images is compelling”.
The key benefits of this new feature for Exonar customers include:
The Exonar Data Discovery Platform can now extract, process, and index text from images including photos and scanned documents. This makes the specific entities and general content the images contain both searchable and actionable through deep insights.
OCR allows digitised data resulting from the scanning of paper documents to be discoverable. With the Exonar Data Discovery Platform this includes sensitive data detection along with cognitive search & analytics.
The addition of the new OCR feature will see the Exonar platform gain further credibility in the data discovery and compliance sectors, enabling organisations to find and fix their data even if that data resides within photos and scanned documents. This will ease pressure on IT departments in any industry, particularly in regards to processing SAR (Subject Access Requests) following the introduction of the new GDPR mandate in May 2018.
2. Exonar is a data discovery company based in Newbury, Berkshire. Founded in 2007 by Adrian Barrett (CEO), Exonar’s product enables organisations to identify what data they hold, locate it and classify it. Organisations are then able to perform remedial tasks to safeguard any unprotected or sensitive data.