# radioCREEP

> Audio Analyzer

Canonical page: [https://chrome-stats.com/d/id6756237336](https://chrome-stats.com/d/id6756237336)

## Overview

- **ID:** `id6756237336`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Available
- **Publisher:** Devin Coleman
- **Category:** Utilities
- **Rating:** 5.00 / 5 (1 ratings)
- **Version:** 2.0
- **Last updated:** 2026-06-29
- **First published:** 2025-12-09
- **Size:** 1.27 MB
- **Data as of:** 2026-09-23
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/radiocreep/id6756237336)
- **Privacy policy:** [https://github.com/Agent00Matisse7/RADIO-CREEP-Privacy-Policy](https://github.com/Agent00Matisse7/RADIO-CREEP-Privacy-Policy)

## Description

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.

## Rankings

- #900,886 — Overall

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Source: [Chrome-Stats](https://chrome-stats.com/d/id6756237336)