The automated infrared spectral-analysis tool Carbonette operates on publicly available Spitzer/IRS (IRSA Enhanced Products) spectra to identify candidate carbon nanotube (CNT) and hydrogenated nanotube (HNT) absorption features. It implements a multi-stage detection and validation framework combining signal-to-noise and Δχ² significance testing, equivalent-width and optical-depth metrics, contamination-avoidance masks (PAH/silicate), LSF resolution checks, and injection–recovery tests for robustness. Outputs include plots and machine-readable tables (CSV/JSON).