The Speech to Text Tool
Convert an audio clip of speech into accurate, punctuated text so an agent can read what was said — on a model that can run inside your perimeter for sensitive recordings.
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.
Speech to Text, without the risk
Capability
What it does
Transcribe speech into accurate text.
it transcribes spoken audio into accurate, punctuated text.
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
transcription can run on a local model inside your perimeter with language selection, so confidential audio becomes text without 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 speech_to_text tool accepts these inputs when an agent calls it. Required inputs are flagged.
default: auto Optional Spoken language; auto-detected by default.
How the Speech to Text tool works in practice
Speech to Text is a multimodal tool you assign to a VDF AI agent. It transcribes spoken audio into accurate, punctuated text. Its hallmarks — Transcribe, Punctuated, Multi-lang — let an agent rely on it as a dependable step in a larger task rather than a brittle one-off script.
Under the hood, transcription can run on a local model inside your perimeter with language selection, so confidential audio becomes text without 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 Speech to Text when they need to handle voice notes, support calls, and accessibility. It rarely works alone — pair it with Audio Transcription, Text to Speech, and Translation to build a complete, governed workflow, then compose those steps into an on-premise VDF AI Network.
Where Speech to Text pays back
Voice notes
Turn a dictated note into text.
Support calls
Transcribe a call for analysis.
Accessibility
Caption audio content.
Search
Make spoken content searchable.
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 Speech to Text tool
What is the Speech to Text tool?
It transcribes spoken audio into accurate, punctuated 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 run on-premise?
Yes. A local model can transcribe inside your perimeter, so sensitive audio stays private.
How is it different from audio transcribe?
Speech-to-text targets shorter clips; audio transcribe is tuned for long recordings with structure like timestamps.
What inputs does the Speech to Text tool need?
It has no strictly required inputs, and optionally accepts audio_base64, audio_url, 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 Speech to Text?
Speech to Text is commonly assigned alongside Audio Transcription, Text to Speech, 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 Speech to Text to work
See the Speech to Text tool assigned to an agent and orchestrated in a governed, on-premise network.