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CLIPr Launches Integrations with Zoom, Google Drive and OneDrive

ⓘ This article is third-party content and does not represent the views of this site. We make no guarantees regarding its accuracy or completeness.

Integrations Ease User’s Ability to Upload Video into CLIPr for Indexing, Transcription, Engagement, and Search Capabilities

CLIPr, a Video Analysis and Management (VAM) platform using AI and machine learning to index video content to help people save time and reduce video fatigue, announced integrations today with Zoom, Google Drive, and Microsoft OneDrive. This provides CLIPr users the ability to view their saved recordings in the cloud, and with a single click, make them available inside CLIPr. These new integrations also enhance security by not having downloaded recordings on local storage.

“CLIPr’s mission is to help everyone quickly and easily find the moments that matter to them in video, and these integrations ease the process of getting that content into the platform and begin saving time and increasing productivity,” said Humphrey Chen, CEO of CLIPr. “Having the technology to help get more value out of video is just one aspect of our solution, it also must be a frictionless process from start to finish. This is just the first step in a series of integrations and quality of life improvements to enhance the user experience.”

CLIPr’s VAM platform allows customers to manage their video libraries and extract important moments of recorded video content so they can organize, search, collaborate, and share with ease and efficiency. Videos are processed by CLIPr’s machine learning algorithms, which analyze audio and visual cues using natural language processing and emotion detection to index, transcribe, and ultimately create a searchable and customized asset.

For more information on CLIPr’s VAM platform, now with support of 31 different languages including English, French, German, and Spanish, visit www.CLIPr.ai.

About CLIPr

CLIPr is a Video Analysis and Management (VAM) platform using AI and machine learning to help users quickly identify key moments within video content, enabling them to organize, search, interact and share with ease and efficiency. CLIPr’s machine learning algorithms analyze audio and visual cues, indexing uploaded video content into topics which users select to create recaps of only the valuable video moments that matter to them. For more information, please visit www.clipr.ai.

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