Twelve Labs Video Understanding Platform uses artificial intelligence to extract information from videos. The platform identifies and interprets movements, actions, objects, individuals, sounds, on-screen text, and spoken words. Built on top of our state-of-the-art multimodal foundation model optimized for videos, the platform enables you to add rich, contextual video understanding to your applications through developer-friendly APIs.
Twelve Labs Video Understanding Platform equips developers with the following key capabilities:
- Deep semantic search: Find the exact moment you need within your videos using natural language queries instead of tags or metadata.
- Zero-shot classification: Use natural language to create your custom taxonomy, facilitating accurate and efficient video classification tailored to your unique use case.
- Intuitive integration: Embed a state-of-the-art multimodal foundation model for video understanding into your application in just a few API calls.
- Rapid result retrieval: Receive your results within seconds.
- Scalability: Our cloud-native distributed infrastructure seamlessly processes thousands of concurrent requests.
The table below provides a basic comparison between Twelve Labs Video Understanding Platform and other video AI solutions:
- Simplified API integration: Perform a rich set of video understanding tasks with just a few API calls. This allows you to focus on building your application rather than aggregating data from separate image and speech APIs or managing multiple data sources.
- Natural language use: Tap into the model's capabilities using everyday language to write queries or prompts. This method is more effective, intuitive, flexible, and accurate than using solely rules, tags, or keywords.
- Multimodal approach: The platform adopts a video-first, multimodal approach, surpassing traditional unimodal models that depend exclusively on text or images, providing a comprehensive understanding of your videos.
- One-time video indexing for multiple tasks: Index your videos once and create contextual video embeddings that encapsulate semantics for scaling and repurposing, allowing you to search and classify your videos swiftly.
- Flexible deployment: The platform can adapt to varied business needs, with deployment options spanning on-premise, hybrid, or cloud-based environments.
- Fine-tuning capabilities: Though our state-of-the-art foundation model for video understanding already yields highly accurate results, we can provide fine-tuning capabilities to help you get more out of the models and achieve better results with only a few examples.
For details on fine-tuning the models or different deployment options, please contact us at [email protected].
Updated about 2 months ago