About WhitePrint

WhitePrint AudioEngine was born from a simple frustration: existing AI mastering services are black boxes. You upload a track, wait, and receive a result with no insight into what happened or why.

Our Mission

We believe audio engineers and music producers deserve full transparency into the mastering process. Every parameter decision should be explainable, every measurement should be standards-compliant, and every step should be auditable.

The Technology

WhitePrint uses a three-stage pipeline that separates concerns cleanly:

• Analysis — BS.1770-4 compliant measurement extracts objective metrics from your audio.
• Deliberation — Three independent LLMs review the metrics and vote on mastering parameters through ensemble consensus.
• Mastering — A deterministic DSP chain applies the consensus parameters. Same input + same parameters = same output, always.

Why Multi-LLM?

No single AI model has a monopoly on good judgment. By using multiple providers (OpenAI, Anthropic, and Google), we reduce individual model bias and increase reliability through consensus. You can see where models agree and where they diverge.

API-First

WhitePrint is built API-first. Everything you can do in the web interface is available via REST API, making it easy to integrate intelligent mastering into DAWs, distribution platforms, podcast toolchains, or any audio workflow.