Twelve Labs is revolutionizing video understanding with its multimodal AI, capable of interpreting videos with human-like accuracy. Their platform allows for natural language searches within vast video libraries, enabling users to pinpoint exact moments effortlessly.
With APIs for intelligent video applications, Twelve Labs supports tasks like search, generation, and classification. Their technology is recognized for world-class accuracy and can handle exabytes of data, ensuring scalability and customization for all business needs.
Twelve Labs Features
- Multimodal Video Understanding: Analyzes videos using AI to understand content like humans do.
- Natural Language Search: Enables searching within videos using natural language queries.
- Rich Video Embeddings: Creates detailed vector embeddings from videos for various applications.
- Scalable Infrastructure: Built to handle large video libraries, even up to exabytes of data.
- Multiple Outputs Support: Supports multiple outputs with minimal training and easy deployment.
- Wide Range of Use Cases: Suitable for contextual advertising, content moderation, evidence search, and more.
FAQs About Twelve Labs
What types of data is Twelve Labs’ model trained on?
The foundation model is trained on hundreds of millions of video-text pairs, making it one of the largest video datasets globally.
How does Twelve Labs ensure user data privacy?
User-uploaded videos are transformed into vector embeddings and stored securely, preventing the possibility of reverse-engineering back into the original video.
Can Twelve Lab model recognize natural sounds in videos?
Yes, the model considers both visual and audio elements, recognizing sounds like gunshots, honking, trains, and thunder.
