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TwelveLabs, a developer of artificial intelligence tools for video analysis, has launched an integration with Frame.io’s latest software version, aiming to revolutionize how creative professionals handle vast collections of video footage. The partnership embeds TwelveLabs’ advanced AI models directly into Frame.io V4, allowing teams in film, television, advertising and broadcasting to use natural language to search through clips, generate detailed descriptions and ensure content meets regulatory standards, all without leaving the collaboration platform.
Frame.io, acquired by Adobe and now part of its Creative Cloud suite, serves as a central hub for video review and teamwork across the media industry. The new V4 features, including customizable actions and metadata fields, enable this seamless incorporation of AI. Users can right-click on videos or folders to initiate processes like indexing content for analysis or running compliance scans, streamlining workflows that previously involved hours of manual review.
Central to the system are TwelveLabs’ Pegasus and Marengo models. Pegasus creates human-like summaries, tags and emotional assessments of videos, capturing narrative elements beyond mere object recognition. For instance, it might describe a scene as a “serene aerial view of crashing waves against cliffs” and tag it with themes like natural landscapes. Marengo, meanwhile, generates embeddings that facilitate semantic searches, letting users query for specific moments such as “a drone shot of a coastal horizon” and receive timestamped results from across their library.
The integration addresses common pain points in handling large-scale video assets. Production teams can now upload a reference image to find visually similar footage for background shots or alternative angles, saving time on asset repurposing. Broadcasters and marketers benefit from automated metadata that populates fields with genres, summaries and emotions, ensuring consistent organization even for thousands of files.
Compliance features stand out for their precision, flagging issues like violence or brand guideline breaches at exact timestamps and adding them as comments within Frame.io. This allows legal and quality assurance teams to review problematic segments alongside creative feedback, reducing risks in regulated environments such as news organizations or ad campaigns.
Targeted at enterprises managing extensive libraries, the tool supports automated indexing on upload to specific folders, cross-project searches and ranked results for related content. Early adopters include post-production studios and content agencies seeking to unlock archived material without tedious tagging.
To implement the integration, organizations need a Frame.io V4 enterprise account and TwelveLabs API access. Interested parties can reach out via TwelveLabs’ contact page for setup assistance. The companies describe this as a step toward making video management as intuitive as conversational search, enhancing efficiency amid increasing focus on of exploding digital content.
