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Saved February 14, 2026
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This article discusses how TwelveLabs transforms video into searchable data. It highlights features like scene and speech recognition, text generation from video, and enterprise-grade APIs for performance and security. Users can test the service with their own videos or request a demo.
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Twelve Labs offers a platform that transforms video content into searchable and analyzable data. Users can search for specific scenes, objects, speech, and motion within videos. The technology converts video data into vectors, facilitating semantic search and anomaly detection. This capability is especially useful for organizations that need to extract insights from large volumes of video content. Users can generate text outputs such as summaries, tags, and reports from their videos, enhancing the accessibility of information.
The platform includes enterprise-grade APIs designed for performance, scalability, and security. Twelve Labs provides a tiered pricing model, allowing users to start with foundational models and pay according to their usage. Key features include high indexing limits, concurrent indexing tasks, and superior API call limits, which enable organizations to maximize their data processing capabilities. The AI is built on a unique encoder model called Marengo and a video-language model named Pegasus, integrating temporal and spatial reasoning for advanced video analysis.
Support is a significant focus for Twelve Labs. The company offers white-glove customer service throughout the implementation and optimization process, ensuring that clients can effectively utilize the technology. Furthermore, the platform emphasizes security, with enterprise-level access controls, encryption, and data privacy measures. Users can deploy the service on-premise or in the cloud, tailored to their specific needs.
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