Cross-modal embeddings with Marengo
Marengo converts text, audio, image, and video into embeddings, enabling cross-modal retrieval across different input types.
TwelveLabs is a video intelligence platform and API for searching, analyzing, and understanding video with multimodal AI. It supports developers and enterprises with Marengo and Pegasus models, API-based workflows, and tiered pricing from Free to Enterprise.
TwelveLabs is a video intelligence platform and API built to help teams search, analyze, and understand video content using multimodal AI. Its site describes two core foundation models: Marengo, which creates embeddings for cross-modal retrieval, and Pegasus, which generates text and supports deeper video reasoning.
The platform is aimed at developers and enterprises that need API-based video understanding for discovery, analysis, and workflow automation. TwelveLabs also offers tiered pricing, including a Free plan, a Developer pay-as-you-go plan, and Enterprise contracts, so teams can start small and scale as usage grows.
Marengo converts text, audio, image, and video into embeddings, enabling cross-modal retrieval across different input types.
The platform supports any-to-any search so users can find exact moments in large video libraries using natural language or other media.
Pegasus combines visual, audio, and speech information to generate text outputs and support video understanding tasks.
The product pages describe search, analyze, and embed workflows that can be used together to build discovery and analysis experiences.
The pricing page and model pages note support for video, audio, image, and text inputs, which broadens how teams can work with video content.
The home page says the platform can be customized and deployed on cloud, private cloud, or on-premise.
Search large video archives for exact scenes, spoken phrases, or visually similar moments using natural-language queries or other media inputs.
Generate summaries, captions, or question answers from video content when teams need text output instead of manual review.
Build discovery features that map user queries to relevant clips, moments, or assets inside a product or media library.
Use embeddings from video and other modalities to support semantic search, hybrid search, or anomaly-detection style systems.
Deploy video AI in environments that require cloud, private cloud, or on-premise options for operational control.
No. The pricing page says you can start on the Free plan without registering a credit card.
The site says free accounts begin with a Free plan, and you can upgrade to Developer by registering a credit card in the dashboard.
The pricing page says Free includes 600 minutes of usage for trying the platform, and that unused indexes can keep their remaining 90-day access after upgrading to Developer.
TwelveLabs positions the platform for search, analysis, embed, and analyze workflows over video content. The developer hub and product pages indicate it is built for API-based use.
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