Vapi is a developer-first platform for creating AI-powered voice agents that handle inbound and outbound phone calls. It works as an orchestration layer connecting speech recognition, language models, and voice synthesis into natural conversations. You pick your own providers for each component, from OpenAI to ElevenLabs to Deepgram, and Vapi handles the real-time coordination. Teams use it for customer support, sales calls, appointment booking, and complex multi-step phone workflows across 100+ languages.
Vapi is a developer platform for building AI-powered voice agents that handle phone calls. It acts as an orchestration layer connecting speech-to-text, language models, and text-to-speech services into real-time, natural-sounding conversations. The name "Vapi" comes from "Voice API."
Vapi is primarily built for developers and technical teams. While it offers a visual Flow Studio builder for basic conversation flows, most advanced features like multi-agent chaining, tool calling, and custom integrations require coding knowledge and API configuration. Non-technical users may find the learning curve steep.
Vapi integrates with major providers across the AI stack. For LLMs: OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), and Groq. For text-to-speech: ElevenLabs, Play.ht, Azure Neural, Deepgram, and 10+ others. For speech-to-text: Deepgram, Whisper, Gladia, and more. You can also bring your own self-hosted models.
Yes. Vapi supports 100+ languages for voice input and output through its various STT and TTS provider integrations. You can deploy agents in English, Spanish, Mandarin, and many other languages without building separate systems.
Yes, Vapi offers HIPAA compliance and SOC 2 Type II certification. However, HIPAA compliance requires an additional fee of approximately $1,000 per month for the Business Associate Agreement (BAA) add-on.
Vapi offers more flexibility and control than no-code alternatives but requires significantly more technical effort. You get to choose every component in your stack and customize conversation logic at a granular level. No-code platforms are faster to set up but offer less customization. Vapi is the better choice if you have engineering resources and need deep control over voice quality, latency, and workflow logic.
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