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Twelve Labs
☆☆☆☆☆
AI Video Generation (243)

Twelve Labs Verified Tool

Twelve Labs is an AI-driven video search platform that helps developers create applications that can see, listen, and understand the world like humans.

Last Update: August 18, 2026

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Starting price Free + usage-based pricing

Tool Information

Twelve Labs is an AI-driven video search platform that helps developers create applications that can see, listen, and understand the world like humans. It does this by providing developers with the most powerful video search API. Twelve Labs recently raised $12 million in seed extension funding and partnered with Oracle to bring video understanding to market.

The Twelve Labs platform works by extracting key features from video such as action, object, text on screen, speech, and people. Starting price: Free + usage-based pricing. Features, limits, credits, seats, billing periods, taxes, regional availability, and promotions can change, so confirm the current official checkout or sales quote.

Business output should be validated against primary records with controlled access testing monitoring human approval and current legal or compliance requirements.

F.A.Q (21)

Twelve Labs' main function is to provide an AI-driven video search platform. This platform assists developers in creating applications capable of understanding the world, comparable to human capabilities, via its potent video search API.

What distinguishes the tool from other AI tools is its superior performance and fine-tunable nature. It has led fields like video retrieval in competitions like the 2021 ICCV VALUE Challenge hosted by Microsoft. Customizability is also a crucial aspect, with the platform offering multimodal contextual understanding and easy integration that fits various applications.

The tool extracts key features from videos such as action, objects, text on screen, speech, and people. This extensive and comprehensive feature extraction capability contributes to its sophisticated video understanding.

At the tool, the vector representations function works by transforming the extracted information like action, objects, text on screen, speech, and people into vector representations. These vectors expedite and scale semantic search, providing a deeper understanding of video content.

The tool is highly customizable to satisfy specific needs. It provides multimodal contextual understanding and enables easy integration with just a few API calls. Furthermore, developers can fine-tune their models on top of the tool' state-of-the-art video understanding AI for domain-specific needs.

The tool is used in a variety of applications, such as contextual advertising, content moderation, evidence search, content search, media analytics, digital asset management, brand safety, lecture search, video recommendation, and video editing.

Yes, the tool provides a suite of APIs for developers. It allows them to make their video catalogs searchable, transform their videos into vector embeddings, and create customized models for their domain-specific needs.

The tool can be used by developers and product managers looking to build applications with a rich understanding of video content.

The potential use cases for the tool are vast. It can be utilized for contextual advertising, automating content moderation and brand safety analytics, conducting evidence search in CCTV and camera footage, enhancing content search in video products, performing media analytics, managing digital assets, ensuring brand safety, searching lectures, making video recommendations, and editing videos.

The tool' AI models outperform open-source and commercial models. They deliver context-specific search and insights, replacing ineffective keyword tagging. This assertion is backed by their top rank in the video retrieval track from the 2021 ICCV VALUE Challenge hosted by Microsoft.

The tool can optimize for a variety of needs, ranging from making a video catalog searchable to customizing models for domain-specific needs. This flexibility is a crucial aspect of the tool, making it adaptable to various applications.

The tool provides an intuitive and easy experience for developers. It offers a 2-step process (Index - Search) to make the entire video catalog searchable. Developers can rapidly implement the AI capabilities of the tool with just a few API calls, emphasizing ease of integration.

The tool' superior performance in the video retrieval track is due to its comprehensive AI that extracts key features from video and transforms that information into vector representations. This enables fast and scalable semantic search, marking the tool as a top performer in video understanding and retrieval.

Yes, the tool can be integrated with other platforms or tools. The platform provides APIs that developers can quickly incorporate into their applications with only a few calls.

Oracle is one of the partners of the tool, as inferred from their recent partnership aimed at bringing video understanding to the market.

The integration of the tool' video understanding AI is a simple two-step process. Firstly, you index your video into the platform, and secondly, you employ the system to search through your catalog. These steps make your entire video catalog searchable.

The tool turns a video catalog searchable through its advanced AI algorithms that extract key features from the videos and transform them into vector representations. This function manipulates the semantic features of the video, thereby allowing quick and effective search functionality.

Developers can adjust the tool to their domain-specific needs by fine-tuning their own models on top of the tool' state-of-the-art video understanding AI. The platform supports multiple outputs, minimal training, and easy deployment, adjusting to specific domain needs.

Yes, users can fine-tune models using the tool' platform. They can create a customized model for their domain-specific needs, on top of the tool' state-of-the-art video understanding AI.

The tool plays a pivotal role in content moderation by automating the process. Its AI can quickly and accurately identify safety violations within video, which helps maintain brand safety and facilitates content moderation.

Yes. The tool operates an official ecosystem partner program for approved technology cloud integration reseller and industry partners. Program availability, eligibility, rewards, attribution, and payment terms are subject to the current official program agreement.

Pros and Cons

Pros

  • Extracts key features from videos
  • Transforms information into vector representations
  • Fast and scalable semantic search
  • Outperforms open-source and commercial models
  • Won #1 in ICCV VALUE Challenge
  • Customizable platform
  • Easy API integration
  • Rich understanding of video content
  • Used for multiple applications
  • Effective for contextual advertising
  • Enables content moderation
  • Efficient in evidence search
  • Improves content search
  • Enhances media analytics
  • Assists in digital asset management
  • Ensures brand safety
  • Simplifies lecture search
  • Smoothens video recommendation
  • Assists in video editing
  • Search any visuals
  • conversations
  • logos
  • text
  • End-to-end infrastructure
  • State-of-the-art accuracy
  • Two-step (Index - Search) process
  • Supports multiple outputs
  • minimal training
  • Easy deployment
  • APIs and playground for developers
  • Transforms video into a vector embedding
  • Offers fine-tuned models
  • Used for locating ad insertion points
  • Efficient in identifying safety violations
  • Search precise moments within CCTV footage

Cons

  • Lack of pricing information
  • No download option
  • No offline capabilities
  • Requires technical knowledge
  • Customization may take time
  • Limited documentation
  • Doesn't support all languages
  • May miss nuanced context
  • No distributed search option
  • No mobile app

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Overview

Pricing
Freemium

Applicable Tasks

video search
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