
Twelve Labs
Multimodal AI API for searching and understanding video content.
Pricing
About Twelve Labs
Twelve Labs builds multimodal AI models that let developers and enterprises search, analyze, and extract insights from video at scale, combining visual, audio, and language understanding rather than relying on transcripts alone. The company's two core models are Marengo, a multimodal embedding model supporting 47 languages, and Pegasus, a video-language model built to reason over full video sequences up to two hours long rather than just reading captions. With these models, users can run natural-language searches across large video libraries to find specific actions, scenes, dialogue, or emotional moments, automatically segment and organize footage, generate highlight reels, and flag anomalies for compliance and content-moderation use cases. The company states it can index roughly one hour of video per minute and processes more than 10,000 hours of video daily across its customers. Access is available through a web-based playground for testing, a full API and SDKs for production integration, and Model Context Protocol support for agent-based workflows. The platform is SOC 2 Type II certified and offers on-premises deployment for security-sensitive customers. Twelve Labs was founded in 2021 and serves media, sports, advertising, government, and security organizations, including partnerships with NFL Media and MLSE. Pricing is not published; prospective customers must contact sales for quotes.
At a glance
- Company
- Twelve Labs (est. 2021)
- Platforms
- Web, API
- API
- Available
- Last verified
- August 2026
Who It's For
- •Developers and engineers building AI-powered video applications.
- •Companies seeking to enhance their video platforms with advanced search and discovery features.
- •Researchers and data scientists working with video data.
- •Content creators and media companies managing large video libraries.
How It Works
- 1Developers integrate Twelve Labs' APIs into their applications.
- 2Users upload or link video content to the platform via the API.
- 3Twelve Labs' AI models process the video, analyzing its visual, audio, and textual components.
- 4The models generate embeddings and metadata that capture the meaning and context of the video.
- 5Developers can then use these embeddings to enable semantic search, generate summaries, and perform other video understanding tasks within their applications.
How to Use Twelve Labs
- 1Developers sign up for a Twelve Labs account and obtain API keys.
- 2Access the documentation to understand the API endpoints and data formats.
- 3Integrate the API into their software applications using supported programming languages.
- 4Send video files or URLs to the API for processing.
- 5Utilize the returned insights (e.g., search results, summaries) to power new features in their applications.
Key Features
- •Marengo multimodal embedding model (47 languages)
- •Pegasus video-language model for long-form video reasoning
- •Natural language video search
- •Automated highlight generation
- •Compliance and anomaly detection for video content
- •Web playground, API, and SDKs
Use Cases
- •Search a video library using natural language queries
- •Generate highlight reels automatically from raw footage
- •Flag compliance issues in video content at scale
- •Build video-aware AI agent applications via API/MCP
Pros & Cons
Advantages
- •Offers highly accurate multimodal video understanding, surpassing basic metadata or transcript-based search.
- •Provides a robust API, making it easy for developers to integrate powerful video AI into their products.
- •Enables the creation of innovative applications that leverage the full richness of video content.
- •Continuously advancing its underlying AI models to improve performance and capabilities.
Disadvantages
- •Requires technical expertise for API integration and development.
- •Pricing model (based on usage) may become expensive for very high volume video processing.
- •Reliance on internet connectivity for API calls.
- •Specific advanced features might require in-depth understanding of video AI concepts.
Alternatives
- Google Cloud Video Intelligence
- AWS Rekognition Video
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Frequently Asked Questions
What is Twelve Labs?
Twelve Labs builds multimodal AI models that let developers and enterprises search, analyze, and extract insights from video at scale, combining visual, audio, and language understanding rather than relying on transcripts alone. The company's two core models are Marengo, a multimodal embedding model supporting 47 languages, and Pegasus, a video-language model built to reason over full video sequences up to two hours long rather than just reading captions.
How much does Twelve Labs cost?
Twelve Labs is free to use.
Is Twelve Labs free?
Yes, Twelve Labs offers a free plan you can start with.
What are the best Twelve Labs alternatives?
Popular Twelve Labs alternatives include Google Cloud Video Intelligence, AWS Rekognition Video.
What is Twelve Labs used for?
Twelve Labs is commonly used for Search a video library using natural language queries, Generate highlight reels automatically from raw footage, Flag compliance issues in video content at scale.
Does Twelve Labs have an API?
Yes, Twelve Labs offers an API for developers.
What platforms does Twelve Labs support?
Twelve Labs is available on Web, API.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.