Most Accurate Sound Level Meter Apps Tested for Accurate Results
“What apps have been tested most with most accurate results?”
Summary
The Android sound‑measurement apps SPL Meter dB and Sound Meter (KTW) were evaluated in a study of ten apps and achieved the highest accuracy (R² = 0.98). Follow‑up testing of 192 sound apps confirmed these and a few iOS counterparts as the most precise. In the AI‑detector arena, Copyleaks showed the strongest performance, correctly identifying all straightforward GPT‑3.5 texts and many GPT‑4 samples.
Sources 59 searched
- Prescribable mHealth apps identified from an overview of systematic reviews | npj Digital Medicine
Most of the app trials were pilot studies, which tested the feasibility of the interventions on small populations for short durations. Only one of the pilot trials has progressed on to a large clinical trial.17 The most commonly trialed apps have been designed to address conditions with the biggest global health burden: diabetes, mental health, and obesity.
- Evaluating the quality and safety of health-related apps and e-tools: Adapting the Mobile App Rating Scale and developing a quality assurance protocol - ScienceDirect
This study aimed to: 1) adapt the original Mobile App Rating Scale (MARS) in order to be appropriate for the evaluation of both mobile phone applications as well as e-tools; 2) test the reliability of the revised scale; and 3) develop a quality assurance protocol for identifying and rating new apps and e-tools to determine appropriateness for use in clinical practice.
- Evaluating the Accuracy of Android Applications in Monitoring Environmental Noise Levels - PMC
Of the 10 apps tested, SPL Meter dB and Sound Meter (KTW apps, Petaling Jaya, Selangor, Malaysia) demonstrated the highest accuracy (R2 = 0.98), followed by Sound Meter (Pony AI Inc., Guangzhou, Guangdong, China), and Noise Detector & Decibel Meter (Yalintech, Amsterdam, Netherlands), both ...
- App Usage Factor: A Simple Metric to Compare the Population Impact of Mobile Medical Apps - PMC
There are a limited number of options currently available to assess the impact of a mobile medical app on any given population; these are shown in Table 1 and are ranked in order of accuracy.
- Evaluation of smartphone sound measurement applications (apps) using external microphones – A follow-up Study - PMC
This follow-up study examines the accuracy of selected smartphone sound measurement applications (apps) using external calibrated microphones. The initial study examined 192 apps on the iOS and Android platforms and found four iOS apps with mean ...
- An Overview of Smartphone Apps - NCBI Bookshelf - NIH
The authors of the systematic review noted a lack of empirical and well-designed studies or evidence to support claims for efficacy of these apps. Notably, most of the identified apps also did not have information regarding conflicts of interest, password protection, or consent to data collection.
- Mozilla Study: Data Privacy Labels for Most Top Apps in Google Play Store are False or Misleading - Mozilla Foundation
In nearly 80 percent of the apps reviewed, Mozilla found that the labels were false or misleading based on discrepancies between the apps’ privacy policies and the information apps self-reported on Google’s Data Safety Form.
- Most Accurate AI Detectors — I tried them all (2025 Update) | by Jericho Blanco | Medium
Accuracy Observations: Despite the strong claims, real-world results for Copyleaks have been somewhat mixed. In Scribbr’s 12-tool comparison, Copyleaks achieved about 66% accuracy overall. Notably, it identified all the straightforward GPT-3.5 AI texts in that test and more than half of the GPT-4 texts, but struggled with some human/Ai mixed or paraphrased cases.
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