Twelve Labs

by Twelve Labs
  • What it is:Twelve Labs is a video-native multimodal AI company that builds foundation models to search, analyze, and understand videos across vision, audio, and language.
  • Best for:Video app developers, Media & content companies, Teams without ML infra
  • Rating:82/100Very Good
Reviewed byMaxim ManylovΒ·Web3 Engineer & Serial Founder

What Are Twelve Labs's Key Business Metrics?

πŸ“Š
$30M
Total Funding
πŸ“Š
$30M (Dec 2024)
Latest Funding Round
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5 (Jae Lee, Aiden Lee, SJ Kim, Dave Chung, Soyoung Lee)
Founders
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Marengo 2.7, Pegasus, TWLV-I (ViT-L)
Key Models
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Highest mAP 58.75% (self-contained)
Benchmark Performance
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Enterprise users (e.g., media, sports)
Customers

How Credible and Trustworthy Is Twelve Labs?

82/100
Good

Technical leadership in video AI with a strong recent funding history ($30M) and high-performance benchmarks but limited publicly available user metrics and review data.

Product Maturity85/100
Company Stability80/100
Security & Compliance70/100
User Reviews60/100
Transparency75/100
Support Quality75/100
$30M funding (Dec 2024)Top benchmark performance vs Google, OpenAI modelsVideo-first multimodal foundation modelsEnterprise video intelligence platform

What Are the Key Features of Twelve Labs?

✨
Semantic Video Search
Video mapping is possible with natural language queries that can map to video content such as actions, objects, and background sounds to include more than just keyword matching.
✨
Multimodal Embeddings
The embed API allows creating mathematical representations of each piece of media so they can be searched efficiently across all types of media (video, image, text, audio), and also enables β€œany-to-any” searches.
✨
Marengo 2.7 Model
The multi-vector approach enables a level of accuracy never before seen in semantic search, summarization, and content moderation.
✨
TWLV-I Foundation Model
The ViT-L model has achieved the top benchmark scores for action recognition, temporal localization, and spatio-temporal understanding.
πŸ”—
Video Analysis API
Summaries, reports, chapters, and metadata can be created from videos using natural language prompts.
✨
Custom Model Training
Customized models can be created from customer-provided data for customized video understanding applications.
✨
Agentic Video Intelligence
Applications such as automatic ad insertion, highlight reels, and content moderation are enabled through the use of this technology.

What Are the Best Use Cases for Twelve Labs?

Media & Entertainment Companies
Through the ability to create contextualized highlight reels and semantic searches on vast video libraries, it enables rapid content discovery and automatically generates clips for further editing or inclusion into other content.
Professional Sports Organizations
Accurate action recognition and temporal localization enables advanced analytics such as player performance tracking, game analysis, and highlight reels.
Content Moderation Teams
Automatic identification of specific actions, objects, and contextual elements within video libraries enable improved moderation accuracy and efficiency.
Video Platform Developers
The embed API and multimodal search capabilities enable the development of more sophisticated search experiences on content libraries comprised of multiple types of media.
Ad Tech Companies
Contextually relevant ad insertion is possible due to its ability to understand video content and audience context and insert ads accordingly.
NOT FORReal-time Video Processing
Optimized for low-latency live streaming analysis – not.
NOT FORSimple Object Detection Only
This is overkill for most computer vision applications - may be better suited for lightweight models designed specifically for particular tasks.

How Much Does Twelve Labs Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$Costβ„ΉDetailsπŸ”—Source
API UsageEnterprise video intelligence platform - contact sales for pricing. Pay-per-use model typical for API platformsCompany website
Free Tier/Developer AccessTypical for AI API platforms - likely limited credits for testingβ€”
EnterpriseCustom quoteCustom model training, dedicated support, volume pricing for large-scale video processingEnterprise platform positioning
API Usage
Enterprise video intelligence platform - contact sales for pricing. Pay-per-use model typical for API platforms
Company website
Free Tier/Developer Access
Typical for AI API platforms - likely limited credits for testing
EnterpriseCustom quote
Custom model training, dedicated support, volume pricing for large-scale video processing
Enterprise platform positioning

How Does Twelve Labs Compare to Competitors?

FeatureTwelve LabsGoogle GeminiOpenAI GPT-4VAmazon Video Analytics
Video-First ArchitectureYesNoNoNo
Semantic Video SearchYes (actions+objects+sounds)PartialPartialNo
Multimodal Any-to-Any SearchYesPartialPartialNo
Custom Model TrainingYesLimitedNoLimited
Action/Temporal LocalizationYes (SOTA benchmarks)PartialNoPartial
Embed APIYesYesYesNo
Benchmark PerformanceTop (58.75% mAP)CompetitiveCompetitiveBasic
Video SummarizationYesPartialPartialNo
Pricing ModelCustom EnterpriseCloud pricingAPI tokensAWS pay-per-use
Free Tierβ€”YesYesYes
Video-First Architecture
Twelve LabsYes
Google GeminiNo
OpenAI GPT-4VNo
Amazon Video AnalyticsNo
Semantic Video Search
Twelve LabsYes (actions+objects+sounds)
Google GeminiPartial
OpenAI GPT-4VPartial
Amazon Video AnalyticsNo
Multimodal Any-to-Any Search
Twelve LabsYes
Google GeminiPartial
OpenAI GPT-4VPartial
Amazon Video AnalyticsNo
Custom Model Training
Twelve LabsYes
Google GeminiLimited
OpenAI GPT-4VNo
Amazon Video AnalyticsLimited
Action/Temporal Localization
Twelve LabsYes (SOTA benchmarks)
Google GeminiPartial
OpenAI GPT-4VNo
Amazon Video AnalyticsPartial
Embed API
Twelve LabsYes
Google GeminiYes
OpenAI GPT-4VYes
Amazon Video AnalyticsNo
Benchmark Performance
Twelve LabsTop (58.75% mAP)
Google GeminiCompetitive
OpenAI GPT-4VCompetitive
Amazon Video AnalyticsBasic
Video Summarization
Twelve LabsYes
Google GeminiPartial
OpenAI GPT-4VPartial
Amazon Video AnalyticsNo
Pricing Model
Twelve LabsCustom Enterprise
Google GeminiCloud pricing
OpenAI GPT-4VAPI tokens
Amazon Video AnalyticsAWS pay-per-use
Free Tier
Twelve Labsβ€”
Google GeminiYes
OpenAI GPT-4VYes
Amazon Video AnalyticsYes

How Does Twelve Labs Compare to Competitors?

vs Mixpeek

XYZEO Analysis: The Twelve Labs service is designed to provide a cloud-based API for video understanding and search, whereas Mixpeek will allow you to deploy an on-premise version of their multimodal search service that can be used to search video, audio, images and even pdf files. In addition, users of the Mixpeek service have access to custom pipeline development, which is something they don't offer in their cloud based version. Overall, Twelve Labs has the advantage when it comes to setting up a cloud-based version of their service, however Mixpeek offers a lot more features that would be useful to developers.

Twelve labs is good for building basic video only cloud based applications. Mixpeek is best suited for multimodal, compliance sensitive or self-hosted applications.

vs Moments Lab

XYZEO Analysis: Both services are primarily designed to assist businesses find what they want in videos, however Moments Lab is positioned as a way to index visual, audio and/or meta data in order to create new ways to monetize your content and reuse it, while Twelve Labs is focused on providing enterprise level video discovery through the use of foundation models for search and generation. Moments Lab is more geared towards managing content, where as Twelve Labs is more geared towards providing a flexible API for developers.

Moments Lab is best for creating workflows for repurposing media. Twelve Labs is best for integrating video intelligence into your application using embeds.

vs Vionlabs

XYZEO Analysis: Vionlabs also specializes in providing enterprise video solutions, however the focus of their business model is around providing video metadata for the purpose of improving user experience through personalization and ad placement. Twelve Labs provides more advanced multimodal foundation models compared to the operational efficiency tools provided by Vionlabs. While Vionlabs appears to hold a larger share of the media market than Twelve Labs, Twelve Labs appears to have a wider appeal to developers looking to build video related applications.

Vionlabs is best for providing operational efficiencies for your streaming operations. Twelve Labs is best for creating general video AI applications.

vs Mantis.AI

XYZEO Analysis: Mantis.ai provides a video editing, tagging and clipping automation service for the sports and media industries, while Twelve Labs provides a cloud based video understanding API. The main difference here is that Mantis.ai is domain specific and therefore can provide more detailed insight into content, where as Twelve Labs is more versatile but not as specialized.

Mantis.ai is best for clipping video in the sports and media industry. Twelve Labs is best for developing your own video search applications.

What are the strengths and limitations of Twelve Labs?

Pros

  • Video first AI expertise – Deep video understanding including action recognition, object tracking and scene detection
  • Developer friendly API – Easy to integrate into cloud applications, no need to worry about managing your own infrastructure
  • Multimodal video intelligence – Text, Speech and Object extraction from video for more comprehensive searching capabilities
  • Enterprise video focus – Large volume video search and creation for business and enterprise customers
  • Video foundations are built into Twelve Labs as they are designed for video -- while most other platforms offer a more general multimodal architecture
  • Lower cost of ownership for video applications -- billed by usage -- eliminates the need for self-hosting

Cons

  • Cloud-only model -- can't self-host, creates vendor lock in, and compliance risk
  • Only video focus -- doesn't include broader multimodal support for images, PDFs, audio search
  • The fixed processing pipeline limits customization of the video analysis -- competitors have pluggable extractors
  • Asynchronous processing is supported -- but does not support real-time/RTSP for live feeds
  • Can be difficult to predict the costs for high volume video users -- usage based billing can create budget challenges
  • Cannot process offline/air-gapped content -- only supports uploading video content

Who Is Twelve Labs Best For?

Best For

  • Video app developers β€” A simple cloud API allows developers to quickly build video search/retrieval features
  • Media & content companies β€” Large video archives can benefit from strong video understanding -- including object/scene detection
  • Teams without ML infra β€” Developers do not need to deploy their own infrastructure -- video foundation models are available via an immediate API
  • Video intelligence startups β€” Developing specialized video-first models can be less expensive than developing your own custom solution
  • SMBs processing moderate video β€” Using a usage-based billing model for video analytics means that you will know exactly how much you are spending on a month-by-month basis -- no enterprise self-hosting costs

Not Suitable For

  • Compliance-heavy enterprises β€” Cloud-only video processing may not meet HIPAA/Finance regulatory requirements -- consider using Mixpeek's self-hosted solution instead
  • Multimodal AI applications β€” Twelve Labs is focused on video-only -- if you want to perform searches across both video and images/PDFs/audio -- consider using Mixpeek or a general multimodal platform
  • Real-time video processing β€” Twelve Labs uses asynchronous batch processing only -- if you require real-time inference -- choose a platform that supports it
  • High-volume video platforms β€” If your organization has high volume video usage -- usage-based billing costs can add up quickly -- self-hosted alternatives such as Mixpeek can help to keep costs under control

Are There Usage Limits or Geographic Restrictions for Twelve Labs?

Deployment
Cloud-only, no self-hosting or on-premises option
Modalities
Video-primary; limited/no native image, PDF, audio-only support
Processing
Async batch processing for uploaded videos only, no real-time/RTSP
Pricing Model
Usage-based per minute of video processed
Customization
Fixed video intelligence pipeline, limited custom extractors
Compliance
Cloud processing may not meet strict data residency/security requirements
API Rate Limits
Usage-based throttling per video minute processed
Self-Hosting
Not available - full vendor lock-in to Twelve Labs cloud

What APIs and Integrations Does Twelve Labs Support?

API Type
REST API optimized for video intelligence and search
Core Capabilities
Video understanding, multimodal embeddings, search, action/object/scene recognition
Supported Inputs
Video files - extracts text, speech, objects, scenes for search
Primary Use Cases
Video search/retrieval, content generation, intelligence extraction
Deployment
Cloud API only - developer-friendly with quick setup
Pricing
Usage-based (per minute of video processed), starts at $0
Strengths
Video-first specialization, foundation models, simple integration
Limitations
Video-only focus, async processing, cloud vendor lock-in
Best For
Video-centric apps needing search/understanding without ML infrastructure

What Are Common Questions About Twelve Labs?

Twelve Labs is a video AI foundation model and API provider that enables organizations to search, generate content from, and extract intelligence from large volumes of video data -- including action recognition, object tracking, and scene detection.

Twelve Labs is a cloud-based platform that offers a very simple API to support video-only intelligence -- while Mixpeek offers self-hosting, multimodal support (video+images+audio+PDFs), and customizable pipelines for organizations with compliance-heavy use cases.

Pricing based on a per-minute basis of video being processed. All prices begin at $0; tiered plans are priced based upon volume of video to be processed. As such, video processing costs may increase unpredictably for high-volume video processing.

No, Twelve Labs has cloud-only deployments of its product with no self-hosting options. The benefits include rapid implementation but this also includes vendor lock in and limits the ability to comply with regulatory requirements.

Multimodal video analysis of video content that identifies text, speech, objects, actions and scenes. This model is optimized for the purposes of searching and retrieving video content from video libraries.

Only asynchronous batch processing is supported for uploaded video content; there is no support for real time or live streaming (RTSP).

Video AI focus only (no native multimodal capabilities), cloud-only deployment, usage-based pricing based on volume of video processed, and a fixed processing pipeline with limited customer customization.

There are several other companies with video AI products that have similar features, each however, are focused on niche areas within the broader video AI market. These include: Mixpeek (multimodal/video AI; self-hosted), Moments Lab (video discovery), Vionlabs (metadata for streaming video), Mantis.AI (media sports clipping).

What Is Twelve Labs's Model Overview?

Developer
Twelve Labs
Version
Marengo, Pegasus
Release Date
2024-2026
Architecture
Multimodal Foundation Models
Open Source
No
Status
Generally Available

How Does Twelve Labs's Model Versions Compare?

VersionRelease DateKey Improvements
Pegasus2024Rich metadata generation, scene descriptions
Marengo2025AI artifact detection, 250+ issue checks

What Is Twelve Labs's Video Generation Specs?

Max Resolution
N/A (Analysis platform)
Generation Speed
N/A (Real-time indexing)

What Generation Modes Does Twelve Labs Offer?

Text-to-Video Search

Search for natural language across video libraries

Image-to-Video Search

Find video matching reference images

Video Analysis

Understand video using multiple modalities

Metadata Generation

Auto-tag and create scene descriptions for video

What Is Twelve Labs's Audio Capabilities Status?

Built-in Audio GenerationAnalysis only, no generation
Lip SyncNot supported
Sound EffectsAnalysis only
Voice ReferenceNot supported
Music GenerationAnalysis only

How Does Twelve Labs's Benchmark Scores Compare?

BenchmarkScoreRankNotes
Video UnderstandingEnterprise focus
AI Artifact Detection250+ issuesMarengo model
Semantic SearchProduction-readyFrame.io integration

What Is Twelve Labs's Access Licensing?

Open Source
No
License
Proprietary API
GPU Requirements
Cloud API only
Platforms
API, Frame.io integration

How Does Twelve Labs's Generation Pricing Compare?

TierCostDurationResolutionNotes
API UsageEnterprise pricing
Frame.io IntegrationSubscriptionPer-project billing

What Creative Tools Does Twelve Labs Offer?

Natural Language Search

Find video shots by description

Image-based Search

Find video matches to reference images

AI Artifact Detection

Detect synthetic video issues

Metadata Automation

Create tags and descriptions

Batch Processing

Automatically index all files in a folder

What Is Twelve Labs's Content Safety Status?

NSFW FilterEnterprise feature
Deepfake PreventionAI generation detection
C2PA WatermarkingNot applicable
Content ModerationAnalysis capabilities
Usage LoggingEnterprise API logging

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