RealtimeVoice gives you a ready-to-deploy voice agent platform powered by GPT Realtime 2 — OpenAI's most intelligent speech-to-speech model. No infrastructure setup, no billing complexity. Connect your use case and go live in minutes.
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RealtimeVoice is a SaaS platform that lets developers and businesses deploy voice agents built on GPT Realtime 2 — without managing infrastructure, token billing, or WebSocket connections from scratch.
GPT Realtime 2 is OpenAI's first voice model with GPT-5-class reasoning. It can listen, think, call tools, and respond — all within a live conversation. RealtimeVoice wraps the GPT Realtime 2 API into a production-ready platform so you skip the heavy lifting: no WebSocket plumbing, no token budgeting, no session state management. Paste your system prompt, pick a voice, and your agent is live.
GPT Realtime 2 bills at $32 per million audio input tokens and $64 per million audio output tokens. Without proper session management, costs can spiral fast. RealtimeVoice gives you per-session cost tracking, automatic token limits, and a built-in cost calculator so you always know what each conversation costs before you scale. Set hard spending caps per user or per session — no surprises on your OpenAI bill.
GPT Realtime 2 supports parallel tool calling: the model fires multiple function calls simultaneously and narrates progress aloud while they resolve. RealtimeVoice's visual tool builder lets you connect Salesforce or HubSpot to update CRM records mid-call, Cal.com or Calendly to book appointments in real time, Twilio to send an SMS confirmation the moment a call ends, Zapier or Make to trigger any downstream workflow, and any custom REST API or remote MCP server. Every tool runs inside the live conversation — no manual input, no follow-up clicks. A dental clinic books appointments by voice. A bank agent queries balances hands-free. A sales team logs call outcomes directly to the CRM.
GPT Realtime 2 supports WebRTC for browsers, WebSocket for server pipelines, and SIP for telephony. RealtimeVoice handles all three transports. Embed a voice widget on your website, deploy a phone number for inbound calls, or integrate into your mobile app — using the same GPT Realtime 2 agent configuration. One setup, every channel.
RealtimeVoice handles the hard parts of GPT Realtime 2 integration so you can focus on your product.
GPT Realtime 2 supports five reasoning levels from minimal to xhigh. RealtimeVoice lets you set the default per agent and override dynamically per session — balancing latency and intelligence for your specific use case.
Estimate GPT Realtime 2 costs before you launch. Input expected call duration and volume, and RealtimeVoice shows you projected token usage and monthly API spend — so your unit economics are clear from day one.
GPT Realtime 2 handles interruptions natively, but production edge cases require extra logic. RealtimeVoice ships pre-built recovery flows for dropped audio, tool timeouts, and ambiguous user input — keeping every call on track.
Deploy the same GPT Realtime 2 agent across web (WebRTC), server pipelines (WebSocket), and phone (SIP) from a single configuration. No duplicate prompts, no separate codebases.
Every GPT Realtime 2 session is logged with full transcripts, tool call records, latency metrics, and cost breakdowns. Search, filter, and replay any conversation to improve your agent's performance over time.
Invite teammates to build and monitor GPT Realtime 2 agents together. Role-based permissions let you control who can edit prompts, access call logs, or manage billing — suitable for agencies and enterprise teams.
GPT Realtime 2 is powerful. RealtimeVoice makes it production-ready without a team of engineers.
Building directly on the GPT Realtime 2 API means handling WebSocket connections, audio streaming, interruption detection, session state, token truncation, and error recovery — each of which can take weeks to get right in production. RealtimeVoice ships all of that out of the box. You get a battle-tested GPT Realtime 2 integration on day one, so your team focuses on the use case, not the plumbing.
From sign-up to a live voice agent in under 10 minutes — no infrastructure required.
Write your system prompt, choose a reasoning effort level (minimal to xhigh), select a voice from GPT Realtime 2's available voices including Cedar and Marin, and define your tools. RealtimeVoice validates your config and shows a live preview before deployment.
Link your CRM, calendar, database, or any REST API using RealtimeVoice's visual connector. GPT Realtime 2 will call these tools mid-conversation automatically, with spoken feedback to the user while it works.
Publish your GPT Realtime 2 agent as a web widget, a phone number, or an API endpoint. Share a link for instant testing, then embed on your site or route your inbound calls — all from the same dashboard.
Developers and teams shipping real products with GPT Realtime 2.
Marcus T.
Founder, AI Customer Support Startup
I spent three weeks trying to build directly on the GPT Realtime 2 API — session management alone was a nightmare. RealtimeVoice cut that to a single afternoon. We went live with our first client's phone agent the next day.
Yuki S.
Product Lead, SaaS Company
The cost calculator was the first thing that sold me. GPT Realtime 2 pricing is hard to predict and we needed to know our unit economics before committing. RealtimeVoice showed us exactly what each call would cost at scale.
Daniel R.
Independent Developer
I built a GPT Realtime 2 voice agent for a dental clinic — appointment booking over the phone, fully automated. The tool calling setup in RealtimeVoice took 20 minutes. The clinic now handles 60% of inbound calls without staff.
Priya M.
CTO, Healthcare Tech
GPT Realtime 2's healthcare vocabulary understanding is genuinely impressive. We needed an intake agent that could handle medical terminology without hallucinating. RealtimeVoice's prompt templates for healthcare gave us a strong baseline immediately.
Tom W.
Agency Owner
We now offer GPT Realtime 2 voice agents as a service to our clients. RealtimeVoice's team access and white-label options made it possible to manage 12 separate agent deployments from one dashboard. Revenue from voice AI is now 30% of our agency income.
Sofia L.
E-commerce Operations Manager
Our customer service team was drowning in repetitive calls. After deploying a GPT Realtime 2 agent through RealtimeVoice, we deflected 45% of inbound volume in the first month. Call satisfaction scores actually went up.
Everything you need to know before building with GPT Realtime 2 on RealtimeVoice.
RealtimeVoice gives you a production-ready platform for GPT Realtime 2 voice agents — no infrastructure, no billing surprises, no months of setup. Sign up free, deploy your first agent in 10 minutes, and see why GPT Realtime 2 is the voice model teams have been waiting for.
