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About Twelve Labs
Twelve Labs is an AI-driven video search platform that helps developers create applications that can see, listen, and understand the world like humans.
It does this by providing developers with the most powerful video search API. Twelve Labs recently raised $12 million in seed extension funding and partnered with Oracle to bring video understanding to market.The Twelve Labs platform works by extracting key features from video such as action, object, text on screen, speech, and people.
It then transforms this information into vector representations, enabling fast and scalable semantic search. Its AI models outperform open-source and commercial models, recently ranking #1 in the video retrieval track from the 2021 ICCV VALUE Challenge hosted by Microsoft.The platform is also customizable to fit specific needs, offering multimodal contextual understanding and easy integration with just a few API calls.
It is used by developers and product managers to build applications with a rich understanding of video content.Twelve Labs provides a suite of APIs and a playground to help developers quickly and easily make their video catalogs searchable.
It is used in a variety of applications, such as contextual advertising, content moderation, evidence search, content search, media analytics, digital asset management, brand safety, lecture search, video recommendation, and video editing.
Twelve Labs key features
- **Video Intelligence AI Agent**: Jockey, the first AI agent for video intelligence, extracts insights from raw video data efficiently.
- **High-Speed Data Processing**: Ingests multimodal data at ~60x real-time speed, indexing an hour of video in just one minute.
- **Natural Language Search**: Allows users to search video libraries using natural language to find specific actions, scenes, and emotions without needing tags.
- **Content Segmentation and Compliance**: Automatically identifies scene changes and ensures compliance by detecting policy risks and sensitive content.
- **Insight Generation**: Analyzes video at scale to uncover patterns and signals, aiding teams in making informed creative and editorial decisions.
Twelve Labs use cases
- Search and discover specific actions, scenes, and dialogue in video libraries using natural language without the need for tagging.
- Automatically segment long-form video content by identifying natural breaks and scene changes.
- Ensure compliance by identifying policy risks and sensitive content at scale with explainable AI.
- Create highlights by generating thematic clips and rough cuts from extensive video footage efficiently.
- Analyze video data to generate insights and surface patterns for better creative and editorial decision-making.
Useful for
- Ingest and index video data at high speed, enabling rapid processing of large volumes of footage.
- Search video libraries using natural language to locate specific actions, scenes, and emotions without the need for tagging.
- Automatically segment content to identify natural breaks and scene changes in long-form videos.
- Ensure compliance by identifying policy risks and sensitive content using explainable AI.
- Generate highlights and insights from video data to support creative and editorial decision-making.
Price
- Infrastructure designed for high-speed video ingestion and indexing, capable of processing 10,000+ hours of video daily.
- Advanced search capabilities using natural language to locate specific actions, scenes, and emotions without the need for tagging.
- Tools for segmenting content, ensuring compliance, creating highlights, and generating insights from video data.
- Secure data handling with SOC 2 Type II certification and encrypted deployment options.
- Tailored for various industries including media, sports, advertising, and public sector, enhancing video workflows and content management.
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