Tutorials: Vision
Add Life-Like Voices to Your AI Apps with Inworld and Vision Agents
The future of software is conversational and interactive. For developers, unlocking this frontier means moving beyond traditional text inputs to agents that can seamlessly see, hear, and speak. Our goal is to demonstrate a powerful, flexible architecture that achieves this. This allows us to build truly expressive, realtime-latency AI applications. To illustrate, consider our core
Build a Marketplace Voice Shopping Agent with Kimi K2.5 and Vision Agents
Build a voice shopping concierge for a multi-seller marketplace using Kimi K2.5, Deepgram STT, and Vision Agents. Runnable Python, function calling, Stream WebRTC.
Build a Voice Agent That Calls to Confirm Fraud Alerts
Build a Python voice agent with Vision Agents that places an outbound call to a cardholder, reads back a suspicious transaction, and either clears it or freezes the card - using Deepgram, an LLM, Cartesia, and Twilio.
How to Build a Background Removal Tool with Segment Anything & Vision Agents
A step-by-step guide to building a real-time background removal tool with SAM 2, YOLO, and Vision Agents. Runs on a CPU, no GPU required.
Gemini Live API & Lyria 3: Generate Music From Text, Phone & Video Calls
The instrumental background music in the video below is AI-generated using Lyria 3 by Google DeepMind. Lyria 3 allows anyone to generate AI music from text and image prompts. The music demos in this article take it further by adding another input prompt modality, your voice. Let's proceed to generate your first music with Lyria
How to Clone Any Voice in Minutes Using Voxtral TTS
What You Will Build This tutorial demonstrates how to build an AI speech app with in-app voice cloning support. You can clone your favorite voice by supplying a reference audio of about 3 seconds. Here is a demo. Voice cloning example demonstrating reference and output voices Voice cloning example demonstrating reference and agent's output voices
How To Design AI Voices in Minutes Using Qwen3-TTS
Before You Start To begin, ensure that you meet these requirements and have the following credentials. Python 3.13 or a later version. An Apple Silicon Mac (recommended) or any modern laptop. Stream API credentials (for realtime audio and video communication). A HuggingFace Account and access token (HF_TOKEN). A Deepgram API key (for speech-to-text). A Google
The 6 Best On-Device TTS Models for Voice AI
When building voice AI applications, you have industry-leading cloud options for text-to-speech, such as Cartesia Sonic 3 and Grok TTS. For privacy and to avoid sharing your business's data with these commercial text-to-speech (TTS) providers, your team may want to use free, open-source solutions that run locally on mobile and desktop devices. Continue reading to
Build a Restaurant Reservation AI Agent With Turbopuffer and Twilio
Let's build a restaurant reservation system to speak with a voice agent via a real-time phone call. The service will have three main features: Agent Outbound Call: The agent can act as both a customer helper and a restaurant assistant. For example, it can be configured as an AI restaurant employee that calls customers back