AI Video Search API

What is twelvelabs.io?

Twelve Labs is a renowned company specializing in video search solutions that leverage multimodal and contextual understanding for enhanced video analysis. They assert to possess state-of-the-art video understanding AI technology, which can be accessed through a straightforward API call. The company achieved recognition by winning the 2021 ICCV VALUE Challenge, an esteemed competition organized by Microsoft, focused on video retrieval. To gain further insights into Twelve Labs' offerings, technology, and various application scenarios, visit their website at https://twelvelabs.io/.

What are the benefits of twelvelabs.io?

Twelvelabs.io offers a range of compelling benefits, including:

1. Instantly searchable video database: The platform enables users to make any video database searchable, allowing for quick identification of key moments using natural language.
2. Video understanding AI: Twelvelabs.io utilizes advanced video understanding AI technology, which extracts essential features from videos, such as actions, objects, on-screen text, speech, and people. These features are transformed into vector representations, facilitating fast and scalable semantic search capabilities.
3. Customizable integration and fine-tuning: Developers can easily integrate Twelvelabs.io into their projects, thanks to its customizable and user-friendly interface. The platform follows a simple 2-step process of indexing and searching to enable comprehensive search functionality across the entire video catalog. Additionally, developers have the flexibility to fine-tune their own models on top of Twelvelabs.io's cutting-edge video understanding AI.
4. Leading performance and accuracy: Twelvelabs.io has demonstrated state-of-the-art performance and accuracy, earning the top rank in the video retrieval track of the 2021 ICCV VALUE Challenge organized by Microsoft. It outperformed industry giants in terms of both cost and performance.
5. Versatile applications: The platform supports a wide range of use cases, including contextual advertising, content moderation, evidence search, content search, media analytics, digital asset management, brand safety, lecture search, video recommendation, and video editing.
6. Funding and recognition: Twelvelabs.io has successfully raised $12 million in funding from prominent investors. Moreover, the company has been recognized as one of Fast Company's Most Innovative Companies in 2023, showcasing its commitment to innovation and excellence in the field.

By leveraging these benefits, Twelvelabs.io offers a comprehensive solution for video search and analysis, empowering users across various industries to unlock the full potential of their video content.

What is the pricing of twelvelabs.io?

Twelve Labs provides a flexible pay-as-you-go pricing structure, allowing users to pay only for the services they utilize. While specific rates are not publicly disclosed on their website, interested individuals can reach out to Twelve Labs' sales team for detailed pricing information.

To facilitate exploration of their video search API, Twelve Labs offers a free trial option specifically designed for developers. This trial allows developers to experience the functionality and capabilities of the API firsthand before committing to a subscription.

In terms of funding, Twelve Labs has successfully secured $12 million in investments from renowned investors, highlighting the confidence placed in the company and its offerings.

Additionally, Twelve Labs has forged a partnership with Oracle, a prominent technology company. This collaboration aims to bring video understanding capabilities to the market, combining Twelve Labs' expertise with Oracle's extensive resources and reach.

By offering flexible pricing options, a free trial for developers, securing substantial investments, and partnering with industry leaders, Twelve Labs demonstrates a commitment to delivering innovative video search solutions while catering to the needs of its customers.

What are the limitations of twelvelabs.io?

While twelvelabs.io offers valuable features, it also has some limitations to consider:

• Limited flexibility in defining new classes or labels: When introducing new tasks, twelvelabs.io may face limitations in defining new classes or labels. This is because video perception tasks often rely on preexisting categories, which may restrict the system's ability to adapt to novel or customized requirements.
• Challenges with handling complex or ambiguous queries: Due to the complexity of video understanding, twelvelabs.io may struggle with handling complex or ambiguous queries that go beyond simple keyword or feature matching. Advanced reasoning and inference capabilities are necessary to address such challenges, which may still be a work in progress.
• Potential limitations in the quality and accuracy of search results: As with any video understanding AI, twelvelabs.io may not guarantee flawless quality or accuracy of search results. Video understanding is an evolving field, and there may still be errors or biases in the system's interpretation and analysis.
• Domain and video type restrictions: twelvelabs.io may not support all types of videos or domains out of the box. Video understanding AI often requires specific training data or models tailored to different scenarios, meaning that certain video types or domains may require additional customization or specialized approaches.

Considering these limitations, it is important to evaluate twelvelabs.io's suitability for specific use cases and requirements. While the tool offers valuable video search solutions, users should be aware of these constraints and assess how they align with their particular needs.

How does twelvelabs.io work?

Twelvelabs.io leverages artificial intelligence to extract various types of information from videos, including movement, actions, objects, people, sound, text on screen, and speech. These capabilities are made possible by the platform's advanced multimodal foundation model designed specifically for video analysis.

To utilize twelvelabs.io effectively, the following 2-step process is recommended:

• Index: Begin by uploading your videos to the platform, which will assign a unique ID to each video. The platform then conducts a comprehensive analysis of the uploaded videos, generating vector representations for different segments of each video.
• Search: Utilize natural language queries to search for specific moments within your videos. When a search query is made, the platform employs its video understanding AI to identify the most relevant video segments and provides their corresponding timestamps based on the query's parameters.

Moreover, twelvelabs.io offers the flexibility to fine-tune the video understanding AI model according to your specific domain needs. This customization feature enables users to tailor the platform's capabilities to align with the requirements of their specific industry or use case.

Access to the features of twelvelabs.io is available through a simple API call or a user-friendly web-based playground. This accessibility allows users to leverage the platform's video analysis capabilities seamlessly and integrate them into their existing workflows or applications.

What is Twelve Labs' Marengo 2.7 and how does it improve video understanding?

Marengo 2.7 is the latest release from Twelve Labs that enhances the capabilities of its video understanding AI models. By providing state-of-the-art video foundation models, Marengo 2.7 is designed to offer more accurate and human-like comprehension of video content. This includes improved ability to conduct any-to-any search functions within videos, making it easier to pinpoint exact moments in vast video libraries and generate insightful and context-rich text descriptions from video content. This update is vital for developers looking to integrate highly accurate video analysis into their applications.

How does Twelve Labs’ API help in searching specific video moments using natural language?

Twelve Labs’ API allows users to find specific scenes within videos by using natural language descriptions. These API capabilities make it possible to pinpoint exact moments in extensive video libraries effortlessly. Users can search with phrases like "Receiver catches deep ball for touchdown" and instantly locate the relevant video content. This powerful search feature is part of Twelve Labs' multimodal AI approach, which integrates visual, audio, and textual data to understand and retrieve video content as naturally as a human would, making video libraries instantly searchable and managing them more intuitively.

How can developers customize Twelve Labs' video understanding model to fit their specific needs?

Developers can fine-tune Twelve Labs’ video understanding models to adapt them to specific content and domains. The flexibility of Twelve Labs’ models allows them to be deployed on any cloud service, or even on own premises, providing a customizable solution that can be trained with proprietary datasets. This means developers can tailor the AI to become an expert in particular video content, setting specific parameters that align with the needs of their industry or personal use case. This customization process involves fine-tuning the model with specific video data, ensuring improved performance and relevancy for custom applications.