Feedback Finder Pro vs radioCREEP

Feedback Finder Pro is the essential tool for anyone working with live sound. Instantly identify feedback frequencies before they become a problem. REAL-TIME FREQUENCY DETECTION • Precise FFT-based analysis identifies feedback frequencies from 20Hz to 20kHz • Large, easy-to-read frequency display shows the dominant frequency in Hz • Visual spectrum analyzer displays all frequencies at a glance • Top 3 peak frequencies shown with magnitude levels SMART FEEDBACK ALERTS • Configurable sensitivity from instant detection to sustained monitoring • Visual alerts when feedback is detected • Sustained frequency tracking prevents false positives CUSTOMIZABLE SETTINGS • Adjustable refresh rate for battery optimization • Multiple spectrum range presets (Full, Low-Mid, Mid-High, Feedback range, Sub, High) • Dark and light mode support PERFECT FOR: • Live sound engineers • Musicians and bands • Worship teams • Event technicians • Anyone working with PA systems

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.