The Video Analysis Tool
Analyze a video’s frames to describe scenes, detect objects and actions, and answer questions about what happens so an agent can reason over visual footage, not just its audio.
Most of your content isn’t text
Calls, recordings, scans, images, and foreign-language documents carry critical information that text-only agents simply can’t use. Turning that media into data usually means shipping sensitive content to a hosted API — exactly what regulated teams can’t do.
Media is opaque
Audio, video, and images are invisible to search and to agents.
Language barriers
Content in other languages stays out of reach.
Manual transcription
Transcribing and translating by hand is slow and costly.
Sensitive content
Calls and scans can’t be sent to a third-party service.
Video Analysis, without the risk
Capability
What it does
Understand the visual content of a video.
it analyzes a video’s visual content to describe scenes, detect objects and actions, and answer questions.
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
it samples and analyzes frames on a vision model inside your perimeter, so an agent can reason about what is shown across a video without sending footage to a hosted service.
Every call logged
Governance
Private, governed, on-premise
Runs inside your perimeter.
Transcription, translation, and analysis can run on local models inside your perimeter with audit logging, so sensitive audio, video, and documents become usable data without ever leaving your environment.
Per-tenant, logged
Parameters
The video_analyze tool accepts these inputs when an agent calls it. Required inputs are flagged.
How the Video Analysis tool works in practice
Video Analysis is a multimodal tool you assign to a VDF AI agent. It analyzes a video’s visual content to describe scenes, detect objects and actions, and answer questions. Its hallmarks — Video, Scenes, Objects — let an agent rely on it as a dependable step in a larger task rather than a brittle one-off script.
Under the hood, it samples and analyzes frames on a vision model inside your perimeter, so an agent can reason about what is shown across a video without sending footage to a hosted service. Every call is scoped to the requesting tenant and written to an audit log, so the capability is safe to run inside a regulated, on-premise environment — the same governance model behind every VDF AI tool.
Teams reach for Video Analysis when they need to handle content review, inspection, and highlights. It rarely works alone — pair it with Image Analysis, Video Transcription, and Screenshot Capture to build a complete, governed workflow, then compose those steps into an on-premise VDF AI Network.
Where Video Analysis pays back
Content review
Describe or moderate video footage.
Inspection
Detect objects or events in a recording.
Highlights
Find the moments that matter.
Search
Answer questions about what a video shows.
Assigned to agents, orchestrated as networks
On VDF AI, an industry’s use cases map to agents, and you assign tools like this one to those agents. Compose multiple agents into a governed, on-premise network.
What changes after you assign it
Questions about the Video Analysis tool
What is the Video Analysis tool?
It analyzes a video’s visual content to describe scenes, detect objects and actions, and answer questions. Assigned to a VDF AI agent, it runs under role-based policy with full audit logging so the capability is safe to use in production.
Does it also handle audio?
It focuses on visual content; pair it with video transcription for the spoken track.
Does footage leave our environment?
No. Analysis can run on-premise, so video stays private.
What inputs does the Video Analysis tool need?
It has no strictly required inputs, and optionally accepts video_url, video_base64, and prompt. Each parameter is validated when an agent calls the tool, and the full call is logged for audit.
Which tools pair well with Video Analysis?
Video Analysis is commonly assigned alongside Image Analysis, Video Transcription, and Screenshot Capture. On VDF AI you compose several tools and agents into a single governed, on-premise network.
Does it run on-premise?
Yes. Like every VDF AI tool, it can run on-premise or in your sovereign cloud, scoped per user and audit-logged, so your data never leaves your perimeter.
How do agents use it?
You assign the tool to an agent under a role-based policy; the agent calls it as one step in a task, and several agents and tools can be orchestrated together as a governed VDF AI Network.
Tools that work well alongside this one
Where this tool delivers value
Put Video Analysis to work
See the Video Analysis tool assigned to an agent and orchestrated in a governed, on-premise network.