Voximplant has new realtime speech generation for voice AI from Inworld, our latest Voice AI text-to-speech (TTS) partner. Together, we combine state-of-the-art TTS with carrier-grade connectivity so you can build voice agents that sound like your brand, not a generic robot.
With speech synthesis support for Microsoft Azure Text-to-Speech, you can choose from more than 425 voice options covering 40 languages and 60 dialects from 6 distinct speech synthesis engine providers.
We recently added IBM Watson™ Text-to-Speech to our list of speech synthesis engine options, expanding the number of voices you dynamically synthesize as part of phone and web calls.
Connect any OpenAI-compatible text LLM to your voice AI pipeline in VoxEngine via Chat Completions or Responses API. Set baseUrl to any provider or your own deployment, including EU endpoints for data residency
Voximplant now includes a native Cartesia module for streaming, low-latency text-to-speech (TTS). You can use a single VoxEngine API to synthesize speech in real time, connect it to any call (PSTN, SIP, WebRTC, WhatsApp) and control playback from a Large Language Model (LLM) or other source, all inside VoxEngine.
Voximplant now includes a native Cartesia Line / Agents connector that connects any Voximplant call to a Cartesia Line voice agent for real-time, speech-to-speech conversations—over PSTN, SIP, WebRTC, or WhatsApp Business Calling—without building custom media gateways or WebSocket streaming infrastructure.
Voximplant now includes a native MCP Client for VoxEngine, giving developers direct connectivity to any MCP server and full control over every tool call
A practical guide to running a compliant voice AI stack on Voximplant: EU data residency, compliance documentation, and what to verify at each layer — telephony, LLM, STT, and TTS
Use Realtime API in VoxEngine to build speech-to-speech voice AI with data residency control. Set baseUrl to any OpenAI Realtime-compatible endpoint, including Azure EU deployments, and control where call audio is processed