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Vapi

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Voice AI infrastructure API for building AI phone agents - handles call routing, real-time transcription, voice synthesis, and LLM orchestration for developers.

Vapi is a voice AI infrastructure platform launched in 2023 that enables developers to build, test, and deploy AI phone agents without managing complex real-time audio pipelines. The platform handles phone number provisioning, speech-to-text via Deepgram, text-to-speech via ElevenLabs or OpenAI TTS, LLM orchestration with GPT-4o or Claude, and call routing through a unified API and dashboard. By 2024, Vapi processed hundreds of millions of minutes of AI phone calls and became the most widely referenced voice AI infrastructure tool among developers building automated inbound and outbound calling systems. Vapi supports live function calling during active conversations for triggering CRM updates, booking appointments, and querying external APIs in real time.

#voice-ai
#api
#developer-tools
#phone-agents
#automation
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vapi.ai
Freemium
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Code & Development
Category
2023
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Key Features

  • Phone number provisioning and call routing for inbound and outbound AI voice agent deployments
  • Real-time speech-to-text with sub-500ms transcription latency using Deepgram and configurable providers
  • Voice synthesis integrations with ElevenLabs, OpenAI TTS, and PlayHT for natural-sounding AI agent voices
  • LLM orchestration with GPT-4o, Claude, Llama, and custom models for conversation intelligence
  • Live function calling for triggering CRM updates, appointment booking, and external API queries during calls
  • Testing dashboard with call recording and full transcript playback before deploying to production
  • Squad feature for routing live conversations between multiple specialized AI agents within a single call

Use Cases

  • Developers building AI receptionists and customer service phone bots for small and mid-size businesses
  • SaaS companies adding outbound AI calling for appointment reminders and lead qualification workflows
  • Healthcare teams deploying AI patient intake and scheduling agents via phone at scale
  • Sales teams automating outbound cold calling with personalized AI voice conversations at volume

Pros

  • Handles all real-time voice infrastructure complexity so developers focus only on conversation logic
  • Modular integrations with all major STT, TTS, and LLM providers allow swapping any component independently
  • Pay-per-minute pricing with free starting credits makes it accessible to early-stage developers and prototypers

Cons

  • Real-time voice AI is latency-sensitive and call quality varies measurably with network conditions
  • Production call volume costs scale quickly without careful optimization of voice model and LLM choices
  • Building high-quality voice agents requires significant prompt engineering and systematic call testing

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