Nexidia to Showcase Nexidia QC Closed Caption System at the 2013 NAB Show

Ensures compliance, caption alignment, language identification for broadcast and IP distribution
Author:
Updated:
Original:
Image placeholder title

At this year’s NAB Show, Nexidia will showcase the new Nexidia QC automated closed caption and video description application that helps ensure compliance, caption alignment and language identification for broadcast and IP distribution. QC automates manual processes to reduce operating expenses, automatically identifies errors and fixes issues to avoid FCC fines, and enables a higher-quality viewer experience across all platforms. 

Another new product is Nexidia CC Director, an application that automatically repurposes on-air closed captioning for broadcast and IP distribution to satisfy broadcast requirements for the 21st Century Communications and Video Accessibility Act. Live and file-based caption information is reused to recaption clips and programs for delivery to the Web, tablets, and other Internet-connected devices.

The 2013 NAB Show takes place in Las Vegas, April 8-11, 2013. Nexidia will be at booth S117LMR.

Related

Nexidia QC Automates Manual Processes promo image
News

Nexidia QC Automates Manual Processes

Nexidia, developer of dialogue and audio analysis products and technologies for optimizing audio and video media, has launched Nexidia QC, a software tool for automated closed caption and video description verification, closed caption alignment and language identification for broadcast and IP workflows

The Wire

Nexidia Introduces Nexidia QC, a Tool for Automated Caption, Video Description, and Language Verification

Nexidia, developer of dialogue and audio analysis products and technologies for optimizing audio and video media, today announced Nexidia QC(TM), a software tool for automated closed caption and video description verification, closed caption alignment, and language identification for broadcast and IP workflows. Nexidia QC overcomes the challenge of ensuring content is being created, edited, and distributed in the right languages with the correct captions at the right times. It automates manual processes, thus reducing operating expenses, and automatically identifies errors to avoid fines and improve quality for viewers.