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Open-Sourcing VoxCast: CPU-Only Multi-Turn Podcast Generation With Low Memory Usage

Open-Sourcing VoxCast: CPU-Only Multi-Turn Podcast Generation With Low Memory Usage

via Dev.to PythonChris King

I just open-sourced VoxCast, a lightweight app for generating synthetic multi-turn podcast episodes from: a reference voice sample a persona prompt a topic prompt The core thing I think is worth sharing: it runs locally on CPU only, with relatively low memory usage. A lot of voice and speech demos assume access to a GPU, which is fine for labs and hosted products but less useful for local experimentation. I wanted something that could run on inexpensive hardware, stay local, and still be good enough for fast prototyping. What VoxCast does The workflow is straightforward: Upload a short reference voice sample Set a persona and topic Generate a back-and-forth podcast episode Download the result Why I built it I wanted to test a simple idea: can you turn voice cloning into a usable content primitive instead of a one-off demo? Not just “generate audio from text,” but: generate a structured conversation with synthetic hosts, locally, without needing a GPU box. Why CPU-only matters For me, t

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