The Video Transcription Tool
Transcribe the audio track of a video into timestamped text so an agent can search, summarize, and cite what was said in a recording — processed inside your perimeter.
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 Transcription, without the risk
Capability
What it does
Transcribe video into timestamped text.
it transcribes a video’s audio into timestamped text.
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
it extracts and transcribes the audio track inside your perimeter with timestamps, so an agent can jump to and cite exact moments in a recording.
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_transcribe tool accepts these inputs when an agent calls it. Required inputs are flagged.
default: auto Optional Spoken language; auto-detected by default.
How the Video Transcription tool works in practice
Recorded meetings, training sessions, incident reviews, and customer calls hold decisions that nobody can find three weeks later. The Video Transcription tool turns that footage into timestamped text inside your perimeter — no recording is uploaded to a transcription SaaS, which is what makes it usable on legal reviews, HR conversations, and anything customers said under an NDA.
Timestamps are what separate a transcript from a wall of text: each segment carries its moment in the recording, so summaries can cite the exact second a commitment was made and reviewers can verify the claim against the source. For the visual track — slides shown, screens shared, demos performed — pair it with Video Analysis; for standalone audio files use Audio Transcription; for meetings recorded by Fireflies the Fireflies connector reads what already exists.
Transcripts land in your environment as governed data: searchable by knowledge agents, quotable with time references, and logged per run — which recording, which agent, which model — for the compliance file.
Where Video Transcription pays back
Meeting recall
Transcribe a recorded call to search it.
Content
Caption or repurpose a video.
Compliance
Create a record of what was said.
Citations
Point to the exact moment of a statement.
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.
- 1Industry Your sector Finance, healthcare, telecom, government, and more.
- 2Use Case A job to be done Concrete workflows the business needs solved.
- 3Agent A specialized worker Governed AI agents that execute the use case.
- 4Tool Video Transcription The capability you assign to an agent.
- 5Network Agents, orchestrated Many use cases and agents, working as one.
What changes after you assign it
Questions about the Video Transcription tool
What is the Video Transcription tool?
It transcribes a video’s audio into timestamped text. 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 include timestamps?
Yes. The transcript is timestamped so you can jump to any moment.
How does it relate to Fireflies transcripts?
Transcribe produces text for any video you hand it; the Fireflies connector reads the transcripts of meetings it recorded. They cover different sources.
Which formats and languages does it handle?
Common video containers — MP4, WebM, MOV — passed by URL or base64; the audio track is extracted and transcribed with automatic language detection, or pin the language parameter when you know it. Long recordings are processed in segments, so hour-scale footage transcribes without special handling.
What does the transcript look like?
Timestamped segments of text — each utterance carries its start time — so an agent can quote “at 14:32 the customer confirmed the order change” and a reviewer can jump straight to that moment instead of scrubbing the recording.
What inputs does the Video Transcription tool need?
It has no strictly required inputs, and optionally accepts video_url, video_base64, and language. Each parameter is validated when an agent calls the tool, and the full call is logged for audit.
Which tools pair well with Video Transcription?
Video Transcription is commonly assigned alongside Audio Transcription, Video Analysis, and Fireflies Transcript Read. 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 Transcription to work
See the Video Transcription tool assigned to an agent and orchestrated in a governed, on-premise network.