TwelveLabs
Video understanding infrastructure that converts long videos into retrievable multimodal indexes, supporting natural language shot search, automatic clipping, compliance review and highlight extraction, suitable for media archives, sports broadcasting and advertising brand safety scenarios.
Updated: 2026-10-27
What is TwelveLabs?
TwelveLabs builds the infrastructure for video understanding: it transforms long-duration video footage into machine-retrievable indexes, enabling a single query to find a specific action, line of dialogue, or emotion. Unlike solutions that only provide read-only subtitles, its model processes video, audio, and language simultaneously. The company claims that a single pipeline can index content at approximately 60 times real-time speed: building an index for a one-hour video takes just one minute, and it can process over 10,000 hours of video per day.
Who is it for?
- **Media and Copyright Institutions**: Transform years of accumulated material libraries into assets searchable by content, rather than only searchable by file names.
- **Sports broadcasters and clubs**: Locate key moments in an entire match in seconds and quickly clip publishable clips.
- **Advertising and Brand Teams**: Evaluate the safety of advertising scenarios based on visual content and reduce manual frame-by-frame reviews.
- **Public sector and security**: Evidence management, anomaly detection and post-incident review, compressing hours of video footage into a few minutes of conclusions.
- **Content operation teams**: Batch generate clips and summaries for long videos to support multi-platform distribution.
Key features
6Multimodal Indexing Model Marengo
Converts videos into spatial-temporal embeddings. The company claims that retrieval is based on the actual content in the frames rather than manually labeled tags, with a single index covering all modalities.
Video Language Model Pegasus
The official claims it can perform continuous reasoning on up to two hours of footage, tracking entities, causal relationships, and narrative arcs, rather than sampling a few frames and making guesses.
Natural Language Retrieval
Across a library of footage spanning hours or even years, locate specific shots, dialogue, or character emotions with a single descriptive query, with no need for pre-labeling.
Segmentation and Compliance Review
Automatically splits long materials into segments and marks sensitive content; the official claims that the speed of review and compliance scanning can be increased by 10 times.
Highlight and Insight Generation
Select publishable clips from the full footage, summarize the event context and key points, and the company claims that a single video can be processed with one API call.
API and Integration
Provides API, SDK and MCP access methods that can be integrated into existing editing and data workflows; officially certified with SOC 2 Type II, the entire set of capabilities can be deployed in the environment specified by the customer.
How to use TwelveLabs
- 1First, upload a representative clip to the online trial environment, test the recall quality with a few realistic questions, and then evaluate whether to integrate it.
- 2Indexing is billed by video duration. Before integration, calculate the total volume of assets first, and prioritize indexing high-value archives instead of full-scale migration.
- 3Establish a unified naming and bucketing rule; use specific scene descriptions instead of abstract keywords when retrieving, and the hit rate will be significantly different.
- 4When the footage involves personal images or sensitive scenarios, first confirm the local compliance requirements and data storage location.
Traffic & popularity
Data month Sep 2026
TwelveLabs receives about 312.8K visits per month and ranks #100,150 worldwide.
Monthly visits
12 monthsTraffic sources
- Search44.7%
- Direct33.1%
- Referrals10.3%
- Social7.1%
- AI assistants3.8%
- Other1.0%
Top countries
- United States33.1%
- Canada10.1%
- South Korea8.1%
- United Kingdom8.1%
- India7.5%
Estimated from third-party traffic data.
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