We built VoicEra around a simple question: what if creating a voice AI agent was as easy as describing what you want it to do? Voice AI has evolved quickly, but building a production-ready voice experience can still mean stitching together an LLM, speech recognition, text-to-speech, telephony, knowledge, and monitoring — often with tight dependencies on individual providers. With VoicEra, we wanted to bring those pieces together into one open-source platform while keeping the underlying components swappable. You can describe an agent, configure its voice stack, connect your knowledge, test real conversations, and deploy it across different use cases and languages. We’re launching VoicEra on Product Hunt to get feedback from builders, product teams, and anyone experimenting with voice AI. What would you build with VoicEra? And what would you want us to improve first?

VoicEra

Describe it. Hear it. Deploy it.

Describe it. Hear it. Deploy it.