Twelve Labs
State-of-the-art foundation models for multimodal video search.
Quick Keypoints
- Provides semantic video search API to locate specific actions or concepts.
- Classifies video clips automatically using custom natural language labels.
- Generates text descriptions, summaries, and transcripts from video files.
- Integrates easily via developer SDKs, playgrounds, and webhooks.
What is Twelve Labs?
State-of-the-art foundation models for multimodal video search.
Twelve Labs develops foundation models for video understanding. Its API enables developers to build features like semantic video search, natural language classification, and automated video-to-text summaries, letting applications understand video as easily as text.
Who Needs Twelve Labs?
SaaS developers, video platforms, content moderators, and media archivists.
Primary Use Cases
- Creating searchable video databases based on visual events and spoken words.
- Automating video tagging and categorization for content libraries.
- Generating text summaries and chapter markers for hours of raw video feeds.
Important Features
- Semantic Search: Understands natural query context to find matching video moments.
- Generate Video-to-Text: Auto-creates transcripts, bullet highlights, and summaries.
- Pegasus Model: Next-gen video-language model built for complex reasoning over media.
Current Updates About Twelve Labs
Twelve Labs recently launched its Pegasus-1 video-language model, enabling detailed conversational Q&A over hours-long footage.
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Pricing Plans
| Plan | Price |
|---|---|
| Free10 hours of video indexing and processing monthly | $0 |
| Developer$0.05 per video minute indexed beyond free tier | Usage |
| EnterpriseHigh-volume discount credits, dedicated VPC deployment, custom models | Custom |