Liquid AI Releases LiquidCodec: A 74M-Parameter Streaming Audio Codec

Liquid AI has open-sourced LiquidCodec, a 74-million-parameter neural audio codec specifically designed for streaming scenarios, bringing efficient, low-latency audio compression and reconstruction to real-time applications. The model is compact enough to run on-device or at the edge, making it suitable for voice AI, real-time transcription pipelines, and low-bandwidth communication applications. Neural codecs at this scale are a building block for voice-enabled agents and speech synthesis systems where minimizing latency and compute cost is critical. Developers building voice interfaces, conversational AI, or audio processing tools can evaluate LiquidCodec as a drop-in codec layer that may outperform traditional codecs on speech reconstruction quality. The open release lowers the barrier for the broader research and developer community to build on and benchmark against Liquid AI's architecture.