AI Agent Integration

Voice input for AI agents

Your AI agents need structured, clean voice input — not raw noisy transcripts bloated with filler words. Privocio's Agent output mode delivers token-optimized JSON your framework consumes directly, cutting LLM costs by up to 60%.

The problem with raw transcripts

Without Privocio

  • Raw transcripts filled with "um", "uh", and silence markers
  • Unpredictable formatting the LLM must parse on every call
  • Inflated token counts that spike API costs
  • Agent hallucinations from noisy, ambiguous input

With Privocio

  • Structured JSON output your agent framework expects
  • Filler words, pauses, and repetition stripped automatically
  • Up to 60% fewer tokens per transcript
  • Deterministic format for reliable downstream parsing
Agent output mode

Structured output, built for agents

Privocio's Agent mode is a purpose-built output format for LLM agent pipelines. Instead of handing your framework a wall of text, the API returns structured JSON with speaker labels, timestamps, and cleaned segments — ready for your chain, tool, or function call.

{
  "mode": "agent",
  "segments": [
    {
      "speaker": "user",
      "text": "Schedule a standup for tomorrow at 9am",
      "start": 0.0,
      "end": 2.4
    }
  ],
  "token_count": 12,
  "raw_token_count": 31
}

12 tokens instead of 31 — a 61% reduction on this example.

How it works

1

Voice

User speaks a command or query

2

Privocio API

Audio transcribed and structured

3

Structured JSON

Clean, token-optimized output

4

Agent framework

LangChain, CrewAI, or custom

Works with any framework — LangChain, CrewAI, AutoGen, custom pipelines, or plain HTTP.

Built for every agent workflow

Customer support bots

Let support agents handle voice calls by transcribing customer speech into structured intents your bot framework can act on instantly.

Coding assistants

Voice-driven coding workflows where developers speak requirements and the agent receives clean, parsed instructions — no filler words, no wasted tokens.

Meeting summarizers

Feed meeting audio through Privocio's agent mode to get structured speaker-attributed segments that your summarizer can process without hallucination noise.

Workflow automation

Trigger multi-step workflows from natural language voice commands. Privocio delivers structured JSON your orchestrator consumes directly.

Why teams choose Privocio for agents

Token efficiency

Agent mode strips noise before tokens hit your LLM, reducing costs and improving response quality.

Privacy-first

Your audio is never used for model training. Self-hosted deployment keeps data entirely in your infrastructure.

Fixed pricing

Predictable flat-rate billing every 4 weeks — no per-minute surprises as your agent traffic scales.

Ready to give your agents a voice?

Start with the free transcription tool or explore plans that scale with your agent workloads.