I'm thrilled to share Open Voice AI (voice-llm-assistant) ā an open-source, full-stack solution that enables real-time voice conversations with large language models, completely free of charge.
The Challenge: Building voice AI applications typically requires expensive API subscriptions for speech recognition, text-to-speech, and LLM access. This creates barriers for developers, researchers, and startups exploring voice-enabled AI solutions.
The Solution: Open Voice AI leverages browser-native technologies and free-tier services to deliver a production-ready voice interaction loop:
ā Zero-Cost Architecture ā Browser Web Speech API for STT/TTS + OpenRouter's free LLM tier (Mistral 7B, etc.)
ā Real-Time Performance ā Seamless voice-to-voice latency optimised for natural conversations
ā Universal Compatibility ā Cross-platform support on Chrome/Edge (desktop & mobile)
ā Developer-Friendly ā Clean React frontend + lightweight Node.js backend with minimal dependencies
ā Production-Ready ā Includes error handling, fallback mechanisms, and deployment configurations
Who Is This For?
⦾ Developers building voice assistants, accessibility tools, or conversational AI prototypes
⦾ Researchers experimenting with multimodal LLM interactions
⦾ Startups validating voice AI concepts before investing in premium infrastructure
⦾ Educators teaching AI application development
Get Started:
š GitHub Repository: https://github.com/mahmud-r-farhan/voice-llm-assistant
š Live Demo: https://voice-llm-assistant.vercel.app/
The complete setup takes under 10 minutes ā perfect for hackathons, proof-of-concepts, or learning voice AI fundamentals.
What's Next? I'm exploring enhancements like wake word detection, multi-language support, and integration with additional free LLM providers. Community contributions and feedback are highly welcome!
If you're working on voice AI, conversational interfaces, or democratizing AI access, I'd love to connect and exchange ideas. If you find it valuable, you can just try to share it with anyone who might benefit from this resource.
Which applications are you most excited about building? Let's discuss in the comments! š