How it works
Ask for “a warm, tube-saturated vintage opto compressor” and Sonorie writes C++ DSP code, compiles it to WebAssembly, and lets you hear it in the browser with a playable faceplate.
Revisions happen in conversation. Asking for a slower release edits the existing DSP rather than rebuilding from scratch, which is the difference between a code generator and a usable tool.
Coverage spans saturation, compressors, filters, reverbs, delays and synths. Sonorie says the results are measured against real hardware behaviour. Exports run on Windows, macOS and Linux.
Generation uses S1, a model Sonorie developed in-house, split into S1 Pro for complex builds and S1 Mini for simpler ones.
This is a different kind of AI music tool
Almost every AI music story this year has been about generated output. Suno, Udio and now Google’s Lyria all produce finished audio, and all of them raise the same question about what the model was trained on.
Sonorie is generating code, not music. The plugin it hands you is a piece of software that processes whatever audio you feed it, which puts it in a category closer to a development tool than a content generator.
That does not make the legal questions disappear. DSP techniques, circuit models and specific hardware behaviours carry their own history, and “measured against real hardware behaviour” is a phrase that will attract attention if any output resembles a commercial product too closely.
Price and the obvious catch
Sonorie runs as a subscription at $19.99 a month with no free tier, so there is no way to test the output quality before paying.
That matters, because the gap between a plugin that compiles and a plugin worth putting on a mix bus is enormous. Producers weighing this against plugins built by actual DSP engineers should hear the results before committing.
Sonorie is available now, with a plugin marketplace and developer blog on its site. Whether generated plugins earn a place alongside the human craft engineers still defend is the question the next year will answer.
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