---
title: "New Call Interface with Real-Time Transcription"
slug: "voice-calls-real-time-transcription"
date: "2026-07-27"
tag: "Application"
summary: "Voice calls with agents get a redesigned in-call interface and a live transcript that streams both sides of the conversation as it happens — then lands in Analytics → Transcripts when the call ends."
author: "ibl.ai Engineering"
linkedin: |
  Talking to an AI agent shouldn't mean losing the record of what was said.

  We just shipped a new call interface in Agentic OS: start a voice call with any agent from the chat composer and watch a live transcript stream both sides of the conversation as it happens — your speech and the agent's replies, in real time, while you're still talking.

  Why it matters: a call is now a first-class, reviewable artifact. When the call ends, the transcript lands in Analytics → Transcripts alongside every chat conversation — same topic detection, same sentiment scoring, same per-conversation cost accounting. Admins can read back exactly what an agent said on a call, not just that a call happened.

  It runs on the same real-time WebRTC session that already powers live conversation, screen sharing, and step-by-step call mode — and like everything else on the platform, it's model-agnostic (OpenAI, Google, Anthropic) and runs in your own cloud, VPC, on-premise, or air-gapped, with you owning all the code and data.

  Full docs: https://ibl.ai/docs/os/agent-settings/voice-call

  #iblai #AgenticAI #EnterpriseAI #VoiceAI #RealTimeAI
---

Voice calls with agents now have a redesigned in-call interface, and the biggest addition is a **live transcript** — the call is transcribed as it happens, showing both your speech and the agent's replies while the conversation is still going.

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  <div style="position:relative; width:100%; aspect-ratio:9/16; border-radius:16px; overflow:hidden; background:#000; box-shadow:0 8px 30px rgba(0,0,0,0.12);">
    <iframe src="https://www.youtube.com/embed/HZnzEH8GIxs" title="Voice Calls with Agents | Agentic OS | ibl.ai" style="position:absolute; top:0; left:0; width:100%; height:100%; border:0;" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen loading="lazy"></iframe>
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  <p style="text-align:center; font-size:0.85rem; color:#5f6368; margin-top:0.75rem;">The new call interface with real-time transcription in Agentic OS.</p>
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## What Changed

**Live transcript during the call.** Both sides of the conversation stream into the call interface as text while you speak, so you can follow along, catch a name or a number the agent said, and confirm what was heard — without waiting for the call to end.

**A cleaner in-call surface.** The redesigned interface keeps the call controls, the agent identity, and the running transcript in one view, so a call reads like a conversation rather than an opaque audio session.

**Transcripts persist after the call.** When the call ends, it lands in **Analytics → Transcripts** with the rest of the agent's conversations — same topic chips, sentiment scoring, model attribution, and per-conversation cost, so a call is reviewable the same way a chat is.

## How It Fits the Existing Call Features

This builds on the voice-call stack already documented on the platform. Calls are real-time WebRTC sessions powered by LiveKit, started from the waveform icon in the chat composer, and configured per agent under **Configurations → Voice → Voice call**.

That configuration still governs everything around the new interface: **Live conversation** vs. **Step-by-step** call style, spoken language, the AI provider powering the call (OpenAI, Google, or Anthropic), the call voice, and whether screen sharing is allowed. Screen sharing sessions continue to use live conversation.

## Documentation

- [Agent Settings: Voice Call](/docs/os/agent-settings/voice-call) — call style, spoken language, AI provider, call voice, and screen sharing
- [Chat](/docs/os/chat-canvas/chat) — starting a voice call from the chat composer
- [Analytics: Transcripts](/docs/os/analytics/transcripts) — reviewing conversation transcripts, topics, sentiment, and cost