Twelve Labs
UnclaimedAI that sees, hears, and reasons across your entire video content for deep insights and automation.
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TL;DR - Twelve Labs
- AI-powered platform for searching and understanding video content.
- Uses multimodal AI to analyze visual, audio, and text within videos.
- Scalable, customizable, and deployable for enterprise-level video intelligence.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Provides deep, human-like understanding of video content beyond simple tags.
- Highly scalable, capable of handling extremely large video libraries.
- Customizable models can be fine-tuned for specific business domains.
- Supports multilingual search, broadening its applicability.
- Flexible deployment options (cloud, private cloud, on-premise).
Cons
- No explicit pricing information provided, suggesting enterprise-focused pricing.
- Requires integration and potentially development effort for full utilization.
- May have a learning curve for fine-tuning and advanced features.
Key Features
Multimodal AI for video understanding (visual, audio, text)Natural language and image-based video searchContext-aware search results pinpointing exact momentsDomain-specific model fine-tuningScalable infrastructure for petabytes of video dataMultilingual search (over 100 languages supported)Deployment options: cloud, private cloud, on-premiseScene selection for production workflows
Pricing Plans
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
- Pegasus Video indexing (one time): Free
- Pegasus Analyze/ Summarize API Usage Input video: Free
- Pegasus Analyze/ Summarize API Usage Output Text: Free
- Pegasus Infrastructure (Monthly) Embedding Infra Services: Free
- Indexing usage limit: 600 minutes
- Index access: 90 days since creation
- Duration per index: 10 hours
- Volume per index: 100 videos
- Concurrent indexing tasks: 5
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
- Pegasus Analyze/ Summarize API Usage Input video: $0.021 / minute
- Pegasus Analyze/ Summarize API Usage Output Text: $0.0075 / 1k tokens
- Pegasus Infrastructure (Monthly) Embedding Infra Services: $0.0015/ minute
- Indexing usage limit: Unlimited
- Index access: Unlimited
- Duration per index: 10,000 hours
- Volume per index: 100,000 videos
- Concurrent indexing tasks: 25
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
- Pegasus Video indexing (one time): Custom
- Pegasus Analyze/ Summarize API Usage Input video: Custom
- Pegasus Analyze/ Summarize API Usage Output Text: Custom
- Pegasus Infrastructure (Monthly) Embedding Infra Services: Custom
- Indexing usage limit: Unlimited
- Index access: Unlimited
- Duration per index: Custom
- Volume per index: Custom
- Concurrent indexing tasks: Custom
- Rate limits apply and scale with monthly spend
About Twelve Labs
By Toolradar Team·
TwelveLabs offers a multimodal, video-native AI platform designed to search, understand, and analyze video content at scale. It leverages powerful encoder models (Marengo) and native video-language models (Pegasus) to provide human-like understanding of video, going beyond traditional tags to uncover context, connections, causes, and effects within the footage. The platform allows users to find specific moments, discover deep insights, analyze, remix, and automate workflows.
This AI is built for enterprises and developers who need to process large video libraries, even petabytes of data. It enables searching by natural language queries or images across various modalities like sound, speech, text, and visuals. The models can be customized and fine-tuned to specific domains, ensuring relevance and accuracy for diverse business needs. TwelveLabs aims to unlock the full potential of video by making its content searchable and understandable, facilitating applications in content discovery, asset management, surveillance, contextual advertising, and more.
The platform emphasizes world-class accuracy, scalability, and deployability across various environments, including cloud, private cloud, or on-premise. It supports multilingual search with over 100 languages, making video intelligence accessible globally.
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Twelve Labs FAQ
How does TwelveLabs' AI achieve human-like understanding of video content?
TwelveLabs employs a multimodal AI that integrates temporal and spatial reasoning. This is achieved through a unique interaction between its powerful encoder model, Marengo, and its native video-language model, Pegasus, allowing the AI to understand context, connections, causes, and effects within video.
What are the core functionalities offered by the TwelveLabs API?
The TwelveLabs API provides three main functionalities: a Search API to pinpoint exact moments in video libraries, an Analyze API to generate text formats about videos through prompting, and an Embed API to obtain multimodal vector embeddings for semantic and hybrid searching or recommendation systems.
Can the TwelveLabs models be customized for specific industry needs?
Yes, the models offer total customization. They can be easily trained on a user's specific data to become experts in their particular domain, allowing for domain-specific search and analysis.
What deployment options are available for the TwelveLabs platform?
The TwelveLabs platform is deployable anywhere. It can be deployed on cloud, private cloud, or on-premise environments, providing flexibility for various infrastructure requirements.
How does the video search functionality handle different types of input and content within a video?
The video search functionality allows users to search using natural language queries or images. It searches across multiple modalities including sound, speech, text, and visuals, making all information within a video reachable and enabling the discovery of previously hidden insights.
What is the multilingual capability of the video search feature?
The video search feature supports multilingual search, allowing users to search in their preferred language. It supports over 100 languages, enabling broader accessibility and usability for global teams and customers.
Source: twelvelabs.io