Speech to Speech

OpenAI Realtime for voice workflows

Run a real-time audio conversation with OpenAI Realtime models.

Layer

Speech to Speech

Focus 01

Live audio

Focus 02

Interruptions

Focus 03

Voice responses

The role

What OpenAI Realtime brings to a call

OpenAI Realtime handles live audio rather than separate transcription and speech stages. It should be judged on interruptions as well as answer quality.

In the voice stack

Speech to Speech

A speech-to-speech model hears and answers in a live audio session. Turn-taking, interruption handling, and tool use must be tested together on a real call.

Use cases

Where teams use OpenAI Realtime

01

Answer a caller who changes direction mid-sentence.

02

Run a low-latency interactive support call.

03

Hand off to a person after an uncertain request.

Implementation

From setup to a real call

01 / PLAN

Define the outcome

Choose the call scenario and decide which of OpenAI Realtime's capabilities the agent needs.

02 / CONNECT

Configure the path

Choose OpenAI Realtime as the agent mode, select a supported voice, and test interruptions and handoffs.

03 / VALIDATE

Test before launch

Measure perceived delay, barge-in behavior, and recovery after a dropped audio session.

Frequently asked questions

OpenAI Realtime questions

What does OpenAI Realtime add to a Vozon workflow?+

OpenAI Realtime handles live audio rather than separate transcription and speech stages. It should be judged on interruptions as well as answer quality.

How do I set up OpenAI Realtime?+

Choose OpenAI Realtime as the agent mode, select a supported voice, and test interruptions and handoffs.

What should I verify before launch?+

Measure perceived delay, barge-in behavior, and recovery after a dropped audio session.

More in Speech to Speech

Build your workflow

Put OpenAI Realtime to work in the right call flow.

Tell us what your agent needs to hear, say, read, or update. We'll help map the connection and test it with your call scenarios.

Plan this integration