Vapi lets developers build, test, & deploy voice AI agents in minutes rather than months — solving for the foundational challenges voice AI applications face:

Simulating the Flow of Natural Human Conversation

Turn-taking, interruption handling, backchanneling, and more.

Realtime/Low Latency Demands

Responsive conversation demands low latency. Internationally. (<500-800ms voice-to-voice).

Taking Actions (Function Calling)

Taking actions during conversation, getting data to your services for custom actions.

Extracting Conversation Data

Review conversation audio, transcripts, & metadata.

Implemented from scratch, this functionality can take months to build, and large, continuous, resources to maintain & improve.

Vapi abstracts away these complexities, allowing developers to focus on the core of their voice AI application’s business logic. Shipping in days, not months.

Quickstart Guides

Get up & running in minutes with one of our quickstart guides:

No Code



Explore end-to-end examples for some common voice workflows:

Key Concepts

Gain a deep understanding of key concepts in Vapi, as well as how Vapi works:

Core Concepts


Explore Our SDKs

Our SDKs are open source, and available on our GitHub:


Common questions asked by other users:

If you are a developer building a voice AI application simulating human conversation (w/ LLMs — to whatever degree of application complexity) — Vapi is built for you.

Whether you are building for a completely “turn-based” use case (like appointment setting), all the way to robust agentic voice applications (like virtual assistants), Vapi is tooled to solve for your voice AI workflow.

Vapi runs on any platform: the web, mobile, or even embedded systems (given network access).

Get Support

Join our Discord to connect with other developers & connect with our team: