Twelve Labs provides an AI-powered video search platform that enables developers to build apps that can perceive, listen to, and comprehend video content like humans.
This is achieved by giving developers access to a robust video search API. Twelve Labs recently secured $12 million in seed extension funding and has partnered with Oracle to commercialize video understanding. The Twelve Labs platform functions by extracting significant elements from videos, including actions, objects, on-screen text, speech, and individuals.
This data is then converted into vector representations, facilitating rapid and scalable semantic search. Its AI models outperform both open-source and commercial alternatives, achieving the top rank in the video retrieval track at the 2021 ICCV VALUE Challenge, organized by Microsoft. The platform can also be tailored to meet unique requirements, providing multimodal contextual understanding and straightforward integration through a few API calls.
It is utilized by developers and product managers to create applications with a deep understanding of video content. Twelve Labs offers a collection of APIs and a playground, enabling developers to quickly make their video catalogs searchable.
It sees use across various applications, including contextual advertising, content moderation, evidence search, content search, media analytics, digital asset management, brand safety, lecture search, video recommendation systems, and video editing.
Extracts essential video features
Transforms data into vector representations
Offers fast and scalable semantic search
Limited pricing information available
No option for downloads
Lacks offline functionality

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