Venera Technologies Introduces CapMate

CapMate leverages machine learning techniques to detect and correct complex and time consuming caption file issues.

Venera Technologies introduces its latest innovative solution in its suite of Quality Control software for digital Media. CapMate, a native cloud SaaS caption ‘companion’ solution, is intended to help significantly reduce the time and cost associated with QC and correction of caption and subtitle files.

Presence of closed caption files is becoming nearly universal for any content delivery. And as the volume of digital content grows exponentially, so does the volume of closed caption and subtitle files, and with it the need to verify for compliance with standards and adherence to strict quality. However, the amount of time and resources needed to ensure ‘quality’ caption files is surprisingly high.

As a result, Venera Technologies has built an intuitive, easy to use solution to address all the pain points and time consuming issues related to caption files, from complications of verifying compliance with various caption file format standards to detecting and fixing common issues such as Sync with audio, overlay on burnt in text, spell check and profanity, to a wide range of editing/timing issues like CPS (Characters Per Second), CPL (Characters Per Line), WPM (Words Per minute), Caption gap, and many others.

“CapMate is not only technically feature-rich, but we also made using it quite affordable! With our various usage-based plans you can subscribe to one of our monthly plans to take care of all of your caption verification and correction needs. And, we also have the industry first ‘Ad-hoc plan’ for those who don’t have a steady volume of caption work, where you can simply use CapMate when you need it without making a monthly or annual commitment!”, said Vikas Singhal, CEO of Venera Technologies. 

You might also like...

Why AI Won’t Roll Out In Broadcasting As Quickly As You’d Think

We’ve all witnessed its phenomenal growth recently. The question is: how do we manage the process of adopting and adjusting to AI in the broadcasting industry? This article is more about our approach than specific examples of AI integration;…

Designing IP Broadcast Systems: Integrating Cloud Infrastructure

Connecting on-prem broadcast infrastructures to the public cloud leads to a hybrid system which requires reliable secure high value media exchange and delivery.

Video Quality: Part 1 - Video Quality Faces New Challenges In Generative AI Era

In this first in a new series about Video Quality, we look at how the continuing proliferation of User Generated Content has brought new challenges for video quality assurance, with AI in turn helping address some of them. But new…

Minimizing OTT Churn Rates Through Viewer Engagement

A D2C streaming service requires an understanding of satisfaction with the service – the quality of it, the ease of use, the style of use – which requires the right technology and a focused information-gathering approach.

Designing IP Broadcast Systems: Where Broadcast Meets IT

Broadcast and IT engineers have historically approached their professions from two different places, but as technology is more reliable, they are moving closer.