OmniRTA

OmniRTA is an advanced real-time acoustic analyzer engineered for audio professionals, sound design students, musicians, and acousticians. Combining high-performance DSP with a clear, pedagogical interface, OmniRTA bridges the gap between signal theory and practical sound analysis. A Unique Educational & Comparative Platform: Unlike traditional RTAs limited to a single processing method, OmniRTA integrates multiple frequency analysis engines, allowing you to compare signal behaviors side by side and understand how different algorithms handle transient vs. steady-state audio: Standard Direct FFT: High-speed frequency decomposition optimized for real-time responsiveness, wideband signals, and general monitoring. Constant-Q / Fractional Octave Filterbank: Acoustically relevant octave and fractional-octave banding (1/1, 1/3, 1/6, 1/12, 1/24 octave) that matches human auditory perception across the audible spectrum. Proprietary Low-Frequency Transient Engine (Exclusive): Traditional FFT algorithms suffer from a strict time-frequency uncertainty trade-off, either sacrificing time accuracy or frequency resolution in the low end. OmniRTA introduces an innovative analysis engine specifically designed for low-frequency transient and percussive content. Accurately track fast double-kick drums, heavy techno sub-bass patterns, and low-end impact dynamics with surgical frequency definition and zero temporal smearing. Key Features: • Real-time multi-algorithm spectrum visualization. • Standard acoustic weightings: A, C, and Z (Flat). • Response ballistics: Fast, Slow, Peak Hold, and Infinite Peak. • Native high-performance DSP core written in Rust for minimal latency and optimal battery efficiency. • Seamless cross-platform experience across iOS, iPadOS, and macOS. Free vs Pro Version: OmniRTA offers essential spectrum analysis features for everyday work and learning. Upgrade to OmniRTA Pro via a one-time in-app purchase to unlock advanced fractional octave bands, deep algorithm customization, and extended logging tools.