Demo Zone

AI powered multi-frame rate conformance

AI powered multi-frame rate conformance

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Key facts

Runs on:



Microsoft Azure

Microsoft Azure


Subscription (per minute)

Subscription (per minute)

  • Managed service available


API available to all customers and partners

Available to all customers and partners

Committed to:

Committed to security badge

Committed to Security

This demonstration will show how an AI-powered video comparator can conform regional edits, subtitles & dub tracks on global masters in a multiple frame rate baseline. You will see how it can quickly conform the audio in the regional master to the source video master. It can automatically identify the gaps in audio and forced narration in the regional master compared to the source video master. With CLEAR Vision Cloud, conformance issues flagged are exported for a quick human QC/Edit to finalize and publish. The audio gaps are addressed in dubbing. The forced narration issues are exported to a sidecar file lined up on the subtitle tool within Vision Cloud and a linguist does a quick QC.

This AI-led Video Comparator helps to significantly reduce time and effort involved and enhances the accuracy across frame rates. The reduction in time and effort also optimizes the cost of conforming forced narrations. The high level of automation which ML will bring over a period of time as the machines pick up the logic, can help scale up the conformance activity for a large volume of content.



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