TwelveLabs
UnclaimedAI that sees, hears, and reasons across your entire video content for deep insights and automation.
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Tracked since2026
0 reviews tracked·1 press mentionThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
World-class accuracy in video understanding, outperforming benchmarks
Biggest con
No explicit mention of a free tier or trial on the provided pages, suggesting it's a paid enterprise solution.
TL;DR - TwelveLabs
- AI-powered video search and understanding.
- Processes video content at a monumental scale.
- Customizable models for domain-specific insights.
Pricing: Free plan available
Best for: Growing teams
What is TwelveLabs?
TwelveLabs provides a video-native AI platform that allows users to search, understand, and analyze video content at scale. It leverages multimodal AI, combining temporal and spatial reasoning with powerful encoder (Marengo) and video-language (Pegasus) models to process video like humans do. This enables users to go beyond traditional tags and uncover deep insights, analyze content, remix, and automate workflows.
The platform is designed for businesses and developers who need to extract meaningful information from large video libraries, ranging from petabytes of data. It offers world-class accuracy, scalability, and customization options, allowing models to be fine-tuned to specific domain languages and deployed across various environments (cloud, private cloud, on-premise). Use cases include content discovery, asset management, surveillance, contextual advertising, and powering production workflows by identifying impactful scenes.
Available on: Web
Pros & Cons
Pros
- World-class accuracy in video understanding, outperforming benchmarks
- Scalable infrastructure capable of handling petabytes of video data
- Highly customizable models that can be trained on specific data
- Flexible deployment options (cloud, private cloud, on-premise)
- Multimodal AI provides a comprehensive understanding of video content
Cons
- No explicit mention of a free tier or trial on the provided pages, suggesting it's a paid enterprise solution.
- Requires integration via API, which might need developer resources.
- The complexity of the AI models might have a learning curve for optimal customization.
Key Features
Search by text or image using natural language queriesSearch across multiple modalities (sound, speech, text, visuals)Fine-tune models for domain-specific language searchScene selection for production workflowsContent discovery across vast video archivesCustomer search within video platformsAsset management with natural language queriesSurveillance for pinpointing precise moments
Pricing Plans
Pricing checked Jun 14, 2026
Free
Free
- Up to 10 hours of indexing
- Marengo Video indexing (one time): Free
- Marengo Infrastructure (Monthly) Embedding Infra Services: Free
- Marengo Search API usage: Free
- Marengo Embed API by input file type (One time) Video: Free
- Marengo Embed API by input file type (One time) Audio: Free
- Marengo Embed API by input file type (One time) Image: Free
- Marengo Embed API by input file type (One time) Text: Free
Developer
Pay as you go
- Marengo Video indexing (one time): $0.042 / minute
- Marengo Infrastructure (Monthly) Embedding Infra Services: $0.0015/ minute
- Marengo Search API usage: $4 / 1000 queries
- Marengo Embed API by input file type (One time) Video: $0.042 / minute
- Marengo Embed API by input file type (One time) Audio: $0.0083 / minute
- Marengo Embed API by input file type (One time) Image: $0.1 / 1000 requests
- Marengo Embed API by input file type (One time) Text: $0.07 / 1000 requests
- Pegasus Video indexing (one time): $0.042 / minute
Enterprise
Contact us
- Committed use contracts
- Marengo Video indexing (one time): Custom
- Marengo Infrastructure (Monthly) Embedding Infra Services: Custom
- Marengo Search API usage: Custom
- Marengo Embed API by input file type (One time) Video: Custom
- Marengo Embed API by input file type (One time) Audio: Custom
- Marengo Embed API by input file type (One time) Image: Custom
- Marengo Embed API by input file type (One time) Text: Custom
Reviews
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TwelveLabs FAQ
How does TwelveLabs facilitate content discovery in large video libraries?
TwelveLabs uses multimodal AI to enable deep understanding and search across video content, allowing users to uncover insights beyond traditional tags. This capability helps in efficiently finding specific moments or themes within petabytes of video data. It supports use cases like content discovery and asset management by processing video like humans do.
What kind of user benefits most from TwelveLabs' video analysis capabilities?
Businesses and developers who need to extract meaningful information from extensive video libraries benefit most from TwelveLabs. This includes organizations involved in content discovery, asset management, surveillance, and contextual advertising, especially those requiring scalable and accurate video understanding.
How does TwelveLabs compare to tl;dv for video understanding?
TwelveLabs provides a video-native AI platform designed for searching, understanding, and analyzing video content at scale, leveraging multimodal AI for deep insights. While tl;dv also offers video analysis, TwelveLabs emphasizes world-class accuracy and scalability for petabytes of data, with customizable models and flexible deployment options.
What are the main limitations to consider when adopting TwelveLabs?
TwelveLabs primarily requires integration via API, which means developer resources are needed for implementation. Additionally, the advanced nature of its AI models might present a learning curve for users aiming to achieve optimal customization and fine-tuning.
How is TwelveLabs priced?
TwelveLabs offers a free tier for users to get started. For more extensive usage and additional features, paid plans are available.
Can TwelveLabs models be tailored to specific industry needs?
Yes, TwelveLabs offers highly customizable models that can be fine-tuned to specific domain languages. This allows the platform to be adapted for various industry requirements and deployed across different environments, including cloud, private cloud, and on-premise.
Which deployment options are available for TwelveLabs' platform?
TwelveLabs provides flexible deployment options to suit various operational needs. Users can deploy the platform in the cloud, within a private cloud environment, or on-premise, offering versatility for different infrastructure setups.
Source: twelvelabs.io