Corti vs Vocode

A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.

Short answer: choose Corti if you want healthcare ai platform and apis for ambient documentation, coding, and live guidance (Copilot, usage); choose Vocode if you want open-source framework for building real-time voice llm agents (Assistant, free).

CortiVocode
What it isHealthcare AI platform and APIs for ambient documentation, coding, and live guidanceOpen-source framework for building real-time voice LLM agents
Typeplatformframework
AutonomyCopilotAssistant
Pricingusagefree · Free (open source, MIT)
Best fordevelopers, enterprise, mid-marketdevelopers
Deploymentapi, saasself-hosted, api
Modalitiesvoice, text, apivoice, text, api, code
Modelsproprietary, model-agnosticmodel-agnostic, open-source
Protocolsrest-apirest-api, function-calling
IntegrationsElectronic Health Records, Telehealth platformsTwilio, Vonage, Zoom, Deepgram, ElevenLabs, Cartesia
Capabilities4 documented3 documented

Corti

  • +API-first: drops ambient documentation, coding, and guidance into existing EHRs
  • +Real-time guidance during encounters, not just after-the-fact notes
  • +Pay-as-you-go developer pricing plus enterprise plans
  • -Decision support and documentation, not an autonomous clinician; clinician review required
  • -Developer-oriented; less of a finished end-user product than some scribes
Full Corti profile

Vocode

  • +Genuinely modular and provider-agnostic across a broad STT/TTS/LLM menu
  • +MIT-licensed and fully self-hostable with no lock-in
  • +Solves the hard real-time voice problems (latency, endpointing, interruptions)
  • -Effectively unmaintained: no commits since November 2024, making it production-risky
  • -The hosted product appears wound down and the marketing site redirects to GitHub
Full Vocode profile

Which should you choose?

Corti is healthcare ai platform and apis for ambient documentation, coding, and live guidance, best for developers, enterprise, mid-market. Vocode is open-source framework for building real-time voice llm agents, best for developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.