Category

AI Agents

Voice infrastructure for AI agent workflows

Speech-to-text knowledge base ingestion pipeline illustration
AI Agents 5 min read

Speech-to-Text for Knowledge Base Ingestion: From Calls to Searchable Docs

I've wired call recordings into searchable knowledge bases for four B2B teams. This guide covers the ingest pipeline: preprocessing, Agent-mode transcription, metadata, dedupe, and chunk tuning for RAG-ready content.

Agent-Mode Transcription for RAG Pipelines: Fewer Tokens, Cleaner Chunks
AI Agents 5 min read

Agent-Mode Transcription for RAG Pipelines: Fewer Tokens, Cleaner Chunks

Agent-mode transcription for RAG pipelines shrinks filler before chunking. I've measured 35-50% fewer tokens vs Raw, cleaner retrieval, and lower embed cost.

Voice activity detection waveform before transcription for lower cost and latency
AI Agents 5 min read

Voice Activity Detection Before Transcription: Cut Silence, Cost, and Latency

I've deployed VAD in production transcription pipelines. Here's how to cut silence before STT and lower cost and latency without hurting transcript accuracy.

Streaming speech-to-text over WebSockets latency budget illustration
AI Agents 5 min read

Streaming Speech-to-Text over WebSockets: Latency Budgets That Actually Matter

Streaming speech-to-text over WebSockets only works when you budget first partial, final commit, and reconnect. I share the targets I use for live AI agents.

Developer speaking into a microphone with voice-to-agent workflow sketch on desk
AI Agents 9 min read

Build a LangChain Voice Agent with Privocio Speech-to-Text

Wire Privocio speech-to-text into a LangChain agent: STT with the OpenAI Python client, Agent output mode for token savings, and an end-to-end voice-to-LLM example.

Speech-to-Text for AI Agents: How to Build Voice-Enabled Agent Pipelines
AI Agents 6 min read

Speech-to-Text for AI Agents: How to Build Voice-Enabled Agent Pipelines

I've built voice-enabled AI agent pipelines for production workloads — here's the complete guide to choosing and integrating speech-to-text.

Transcription Output Modes Explained: Raw, Clean, and Agent-Ready Formats
AI Agents 5 min read

Transcription Output Modes Explained: Raw, Clean, and Agent-Ready Formats

Agent mode cut LLM token costs by 40% in our tests. Here's what Raw, Clean, and Agent output modes actually do — and when to use each.

Speech-to-Text API Latency Benchmarks: What 500ms Actually Means in Production
AI Agents 5 min read

Speech-to-Text API Latency Benchmarks: What 500ms Actually Means in Production

I've benchmarked six speech-to-text APIs on identical audio at multiple concurrency levels. Here's what 500ms latency really means when you deploy voice agents.

How Clean Transcripts Cut Your LLM Token Costs by 40% or More
AI Agents 4 min read

How Clean Transcripts Cut Your LLM Token Costs by 40% or More

I tested transcript formats across 500+ hours of AI agent audio. Agent-mode transcripts cut LLM tokens by 40% — here's the exact math and the one-parameter fix.

Speech-to-text for podcast production with secure transcription and IP protection
AI Agents 5 min read

Speech-to-Text for Podcast Production: Transcribing Audio Without Compromising IP

I've transcribed unreleased podcast episodes for three networks. Here's how to get SEO transcripts without sending raw audio to APIs that train on your content.

Real-Time vs Batch Transcription: When to Use Each for AI Agent Workloads
AI Agents 6 min read

Real-Time vs Batch Transcription: When to Use Each for AI Agent Workloads

I've tested both real-time and batch transcription in production. Here's the exact latency and cost trade-off — and how to choose the right mode for your AI agent workload.

How to Add Voice Input to Your AI Chatbot: A Developer's Guide
AI Agents 6 min read

How to Add Voice Input to Your AI Chatbot: A Developer's Guide

I've added voice to 20+ chatbots. Here's the three integration patterns that actually work in production, with code examples and cost comparisons.

Next step

Explore API features, view fixed pricing, or review our privacy commitments.