
Add Video Calling to Your Flutter App
The Voximplant Flutter SDK enables developers to embed real-time video call functionality into their Android and iOS apps

The Voximplant Flutter SDK enables developers to embed real-time video call functionality into their Android and iOS apps

As of October 1, 2019, we will release new versions of mobile SDKs to remove legacy APIs.

A brand-new messaging API was added across Web, Android and iOS SDK.

VoxImplant developers can easily embed all functionality VoxImplant offers into their native Android applications.

Voximplant now lets developers build full-cascade voice AI pipelines in VoxEngine without sacrificing turn-taking quality.

Voximplant now includes a native Grok module that connects any Voximplant call to xAI’s Grok Voice Agent API for real-time, speech-to-speech conversations. With a single VoxEngine scenario, you can interact via audio with Grok over phone numbers, SIP trunks and infrastructure, WhatsApp Business, or WebRTC into Grok — all without building custom media gateways or WebSocket streaming infrastructure.

Voximplant AI Agent Skills let your coding agent build and ship voice applications without switching tools

Voximplant now includes a native MCP Client for VoxEngine, giving developers direct connectivity to any MCP server and full control over every tool call

Learn how a Voice AI Orchestration Platform connects LLMs, STT/TTS, turn‑taking, and telephony (PSTN, SIP, WebRTC) to build reliable real‑time voice agents. See benefits, architecture, and how Voximplant helps.

Voximplant has added Secrets, a dedicated credential store for API keys, tokens, and other sensitive values that VoxEngine scenarios need at runtime

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.

How Jev and other decision models help LLM voice bots with topic routing, turn detection, barge-in, form filling, action checks and model choice.