The Audio Transcription Tool
Transcribe long-form audio — calls, interviews, podcasts — into structured, timestamped text with speaker segments so an agent can analyze and cite the whole recording.
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.
Audio Transcription, without the risk
Capability
What it does
Transcribe long recordings with structure.
it transcribes long-form audio into structured, timestamped text with speaker segments.
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
it handles long recordings with timestamps and speaker separation inside your perimeter, so an agent gets a navigable transcript rather than an undifferentiated wall of text.
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 audio_transcribe tool accepts these inputs when an agent calls it. Required inputs are flagged.
default: true Optional Separate speakers into segments.
default: auto Optional Spoken language; auto-detected by default.
How the Audio Transcription tool works in practice
Audio Transcription is a multimodal tool you assign to a VDF AI agent. It transcribes long-form audio into structured, timestamped text with speaker segments. Its hallmarks — Audio, Speakers, Timestamped — 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 handles long recordings with timestamps and speaker separation inside your perimeter, so an agent gets a navigable transcript rather than an undifferentiated wall of text. 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 Audio Transcription when they need to handle interviews, calls, and podcasts. It rarely works alone — pair it with Speech to Text, Video Transcription, and Translation to build a complete, governed workflow, then compose those steps into an on-premise VDF AI Network.
Where Audio Transcription pays back
Interviews
Transcribe research or hiring interviews.
Calls
Turn a long call into an analyzable transcript.
Podcasts
Make episodes searchable and quotable.
Who said what
Attribute statements by speaker.
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 Audio Transcription tool
What is the Audio Transcription tool?
It transcribes long-form audio into structured, timestamped text with speaker segments. 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 separate speakers?
Yes. Diarization splits the transcript into speaker segments so you know who said what.
Can it handle long files?
Yes. It is tuned for long recordings, unlike short-clip speech-to-text.
What inputs does the Audio Transcription tool need?
It has no strictly required inputs, and optionally accepts audio_url, audio_base64, diarize, 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 Audio Transcription?
Audio Transcription is commonly assigned alongside Speech to Text, Video Transcription, and Translation. 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 Audio Transcription to work
See the Audio Transcription tool assigned to an agent and orchestrated in a governed, on-premise network.