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Vocode

Open source library for building voice-based LLM agents with real-time streaming conversations
Assistants & Chatbots
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Vocode

DEVELOPER
Vocode
WEBSITE
SOCIAL
NETWORKS
SUPPORTED
PLATFORMS
STARTING PRICE
Free
FREE TRIAL
PRICING TYPE
Free, Freemium
CARD REQUIRED
BEST FOR
Personal/Business
SUPPORTED
LANGUAGES
EN
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AI TEHNOLOGIES
Description

Vocode is an open source platform that simplifies the creation of voice-based applications powered by large language models. It enables developers to build real-time streaming conversations with LLMs and deploy them across multiple channels including phone calls, Zoom meetings, and voice-based personal assistants. The library provides comprehensive abstractions and integrations that consolidate all necessary voice AI components into a single framework.

The platform supports both self-hosted deployments through Vocode Core and managed services via the Vocode API. Developers can spin up conversations using system audio, set up phone numbers with LLM-based agents for inbound and outbound calling, integrate with Zoom calls, and embed voice capabilities into Langchain agents. Vocode's architecture handles the complete voice pipeline from transcription through synthesis with built-in conversation functionality including endpointing and emotion tracking.

Vocode offers extensive integrations with industry-leading providers across the voice AI stack. For speech recognition, it connects with AssemblyAI, Deepgram, Gladia, Google Cloud, Microsoft Azure, RevAI, Whisper, and Whisper.cpp. Language model support includes OpenAI and Anthropic. Text-to-speech synthesis integrations span Rime.ai, Azure, Google Cloud, Play.ht, Eleven Labs, Cartesia, Coqui, gTTS, StreamElements, Bark, and AWS Polly. This breadth of integrations enables developers to select optimal providers for their specific use cases and requirements.

Use cases
  • Deploy AI agents that handle inbound phone calls with natural conversation capabilities
  • Build outbound calling systems that automate customer outreach and follow-ups
  • Create voice-based personal assistants that respond through system audio interfaces
  • Integrate LLM-powered voice agents into Zoom meetings for automated participation
  • Develop voice-enabled applications for customer service automation
  • Build multilingual voice bots for global communication workflows
  • Implement real-time voice interactions for healthcare consultation systems
  • Create voice-based chess games and interactive entertainment applications
  • Deploy phone-based survey and data collection systems with conversational AI
  • Integrate voice capabilities into Langchain agents for complex automation workflows
Features
Real-time Streaming Conversations, Telephony Integration, Multi-provider Support, Speech Recognition, Text-to-speech Synthesis, LLM Integration, Conversation Management, Cross-platform Deployment, Open Source Library, API Service

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