Vidi

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Vidi is a family of large multimodal models for video understanding and editing. It supports various video understanding and editing scenarios, with an initial focus on temporal retrieval.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is vidi?

Vidi is a suite of large multimodal models specifically engineered for advanced video understanding and editing tasks. It is designed to handle a wide array of video-related scenarios, providing capabilities for both analysis and manipulation of video content. The initial release of Vidi emphasizes temporal retrieval, allowing users to accurately identify specific time ranges within videos by using text-based queries. This open-source tool aims to provide a flexible and powerful solution for developers and researchers working with video data.

Best used for

Identifying specific time ranges in videos based on text queries and general video understanding and editing.

Common actions

Understand video content

Edit videos programmatically

Search video by text

Analyze video data

Develop video applications

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Capabilities

Key features

Multimodal video models
Video understanding
Video editing
Temporal retrieval
Open-source

Target Audience

DevelopersResearchersVideo content creatorsData scientists

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

What are the typical hardware requirements for running Vidi's large multimodal video models effectively?

As Vidi involves large multimodal models for video processing, it likely requires significant computational resources, including powerful GPUs and ample memory, for efficient training and inference. Specific requirements will depend on the model size and task.

Can Vidi be integrated with existing video processing pipelines or platforms?

Vidi is open-source and designed to be a flexible solution for developers and researchers. Its open nature should facilitate integration into various existing video processing workflows and platforms, though specific integration methods would depend on the pipeline.

What kind of video formats does Vidi support for its understanding and editing tasks?

While not explicitly stated, as an advanced video understanding and editing tool, Vidi is expected to support a wide range of common video formats. Users should consult the official documentation for a definitive list of supported input and output formats.

How does Vidi's temporal retrieval feature handle ambiguous or complex text-based queries?

Vidi's temporal retrieval is designed to accurately identify specific time ranges using text queries. Its large multimodal models are engineered for advanced understanding, suggesting it can interpret complex queries, but performance with highly ambiguous inputs would require testing.

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