Building Real-Time Voice Apps with OpenAI’s Realtime API - Part 2

After our introductory session last month on the OpenAI Realtime API, it's time to build some complete, real-world applications. In this hands-on follow-up meetup, we'll go beyond the basics and implement several practical projects using OpenAI's latest speech-to-speech capabilities, realtime translation, and telephony integrations. The Realtime API enables low-latency conversational voice experiences using a single speech-to-speech model, with support for WebRTC, WebSockets, and SIP-based phone systems.

During this session we'll build:

🎧 An AI Audiobook Reader
Turn any document, article, or ebook into a natural listening experience using OpenAI's realtime voice models and high-quality voices. We'll explore voice selection, streaming audio, and techniques for creating engaging long-form narration.

📞 A SIP-Powered AI Phone System
Connect the Realtime API to a telephone network using SIP and create a voice agent that can answer calls, hold conversations, and access tools in real time. We'll walk through the architecture and demonstrate a working implementation. SIP support is now available as part of OpenAI's realtime platform capabilities.

🌍 A Real-Time Translation App
Build a live translator that listens in one language and speaks back in another with minimal latency. We'll demonstrate multilingual conversations and discuss how realtime translation can be used for travel, customer support, and international collaboration.

Along the way we'll cover:
* Realtime architecture patterns
* WebRTC vs WebSocket vs SIP integrations
* Managing latency and interruptions
* Voice UX and conversational design
* Production deployment considerations
* Tips and tricks learned from building real applications

This meetup is intended for developers who have basic familiarity with the OpenAI Realtime API and want to learn how to build complete voice applications that users can interact with naturally.