o46scope vs radioCREEP

o46scope is an audio measurement app for iPhone and iPad that helps you visualize sound in real time. It supports oscilloscope and FFT spectrum display, allowing you to inspect waveforms and frequency components instantly. The app also supports internal signal generation with Tone1 / Tone2 and test signal (Beep) output, making it useful for quick checks, learning, and simple audio measurement tasks. Key features • Oscilloscope display • FFT spectrum display • Signal tab for signal control • Internal signal generation with Tone1 / Tone2 • Speaker output for tones • Test signal (Beep) output • Adjustable parameters Premium Tone1 / Tone2 internal signal generation is available as a premium feature. It is available without ads. Ideal for users who want waveform visualization, frequency analysis, and signal generation in one app. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

RADIO CREEP: Audio Signal Analyzer transforms your iPhone into a professional-grade acoustic analysis tool. Built with Apple’s high-performance Accelerate Framework (vDSP), it enables researchers, audio engineers, and students to record audio and instantly generate core signal processing metrics for deep insights into sound dynamics. Key features include: - Real-time recording and analysis: Record up to 90 seconds of audio directly on your device. The app analyzes the recording rapidly upon stopping. - Loudness dynamics (RMS profile): View a detailed plot of the Root Mean Square (RMS) energy over time, showing normalized loudness dynamics and identifying patterns of steady sound (music) versus transient spikes (speech/sports commentary). - Acoustic stability score: Automatically calculates a stability metric based on the variance of the RMS energy, predicting the content type (scores below approx 0.15 indicate steady Music; higher scores suggest dynamic Talk/Sports). - Frequency fingerprint (Average FFT): Instantly compute and plot the Average Fast Fourier Transform (FFT) magnitude spectrum, revealing characteristic frequency components masked.