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.

It then transforms this information into vector representations, enabling fast and scalable semantic search. Its AI models outperform open-source and commercial models, recently ranking #1 in the video retrieval track from the 2021 ICCV VALUE Challenge hosted by Microsoft.The platform is also customizable to fit specific needs, offering multimodal contextual understanding and easy integration with just a few API calls.

It is used by developers and product managers to build applications with a rich understanding of video content.Twelve Labs provides a suite of APIs and a playground to help developers quickly and easily make their video catalogs searchable.

It 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.

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Video search Twelve Labs 5.0(1)

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Twelve Labs was manually vetted by our editorial team and was first featured on December 20th 2022.

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Most impacted jobs

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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

Q&A

What is the main function of Twelve Labs?

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 makes Twelve Labs different from other AI tools?

What distinguishes Twelve Labs 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.

What are the key features that Twelve Labs extracts from videos?

Twelve Labs 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.

How does the vector representations function work in Twelve Labs?

At Twelve Labs, 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.

How customizable is Twelve Labs?

Twelve Labs 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 Twelve Labs' state-of-the-art video understanding AI for domain-specific needs.

What kind of applications is Twelve Labs used in?

Twelve Labs 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.

Does Twelve Labs provide any APIs for developers?

Yes, Twelve Labs 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.

Who can use Twelve Labs?

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

What are some potential use cases for Twelve Labs?

The potential use cases for Twelve Labs 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.

How does Twelve Labs' AI model compare to open-source and commercial models?

Twelve Labs' 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.

What kind of needs can Twelve Labs optimize for?

Twelve Labs 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 Twelve Labs, making it adaptable to various applications.

What experience does Twelve Labs provide for developers?

Twelve Labs 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 Twelve Labs with just a few API calls, emphasizing ease of integration.

What about Twelve Labs makes it superior in the video retrieval track?

Twelve Labs' 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 Twelve Labs as a top performer in video understanding and retrieval.

Can Twelve Labs be integrated with other platforms or tools?

Yes, Twelve Labs 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.

Who are the partners of Twelve Labs?

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

What are the steps in integrating Twelve Labs' video understanding AI?

The integration of Twelve Labs' 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.

How can Twelve Labs make a video catalog searchable?

Twelve Labs 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.

How can developers adjust Twelve Labs to their domain-specific needs?

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

Can users fine-tune models using Twelve Labs' platform?

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

What role does Twelve Labs play in content moderation?

Twelve Labs 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.