Comparison

Low Frequency Detector vs Noise Guru

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

Low Frequency Detector

This tool measures and analyzes low-frequency sounds that are difficult for the human ear to detect. It helps identify potential noise pollution from sources like construction or factories, providing detailed reports on frequency components and sound levels.

Highlights
  • Low-frequency power level measurement (<100Hz)
  • Audible band power level measurement (Leq)
  • 1/3 octave band analysis (OCT)
  • FFT analysis (FFT)
  • Time course graph (TIME)
  • Measurement report generation
  • Calibration function
Read full description

"Low Frequency Detector" is an acoustic measurement tool for detecting low-frequency sounds that is hard to hear in normal situation. The human ear is not sensitive enough to low-frequency sounds. If you are exposed to noise from nearby construction or factories without realizing it, you may feel discomfort or a sense of pressure. In such cases, you can use this app to check what kind of low-frequency noise is present. Generally, low-frequency sounds is a sound wave ranging from 1Hz to 100Hz. Depending on its frequency component and sound level, the degree of influence on the human body and the noise sensation is different. This app allows you to examine the frequency component of low-frequency sounds by 1/3 octave band analysis and FFT analysis. Features: - Low-frequency power level measurement less than 100Hz (LF Level): Flat characteristic, Updating indication of measurement period 1 sec. - Power level measurement in the audible band (Leq): Flat characteristic, Updating indication of measurement period 200ms. - 1/3 octave band analysis (OCT) - FFT analysis (FFT) - Time course graph (TIME) - Snapshot (Snap) on the measurement display screen. - Report function (Report): Analysis report of a peak LF Level with TIME, OCT and FFT. - Measurement time: up to 60 sec Functions: The measurement analysis is performed in the following step. Be sure to set the measurement conditions in Step-1 once before starting the sound measurement. 1) Calibration (Calibrate): The reference signal (1kHz sine wave) is output to determine the reference noise level for the low-frequency component. If the volume level of iPhone is set to about 20-50%, the calibration will automatically adjust it to the optimum volume level for the reference signal. 2) Measurement (Measure): Analyze a power level of low-frequency sounds. - LF Level (dB): Low-frequency power level less than 100Hz. - Leq (dB): Sound power level with the frequency weight characteristic Z (Flat) of the audible band. 3) Measurement display: It can select either 1/3 octave band frequency analysis, FFT analysis or Time course graph. They are updated in real time. 4) Report: Measurement result report. It is effective when measuring for 10 seconds or more. # Time course graph: TIME - Low-frequency (LF) Level (dB): Time course graph with peak level noise level judgment (RED-very noisy, YELLOW-noisy, GREEN-normal) at the peak level. - LF max (dB): maximum dB value of low frequency. # Frequency response graph: OCT, FFT - OCT Band LF max (dB): maximum dB value in 1/3 octave band at LF max observation. - Max Level Frequency (Hz): peak frequency at LF max observation. Notes: - The sound measurement of the low-frequency range is a level difference with respect to the reference signal, which indicates the relative power level. - The reference signal is output during calibration and sound level measurement. - Do not change the volume level of iPhone after the calibration. - White line in the OCT and FFT modes indicates frequency characteristics in frequency weight correction of G characteristics. - Since iPhone's built-in microphone has a lower sensitivity on the very low frequency range, it is not recommended to measure a huge volume sound near a very loud noise source. - Since it takes a while for the observation value to stabilize immediately after the start of measurement, the maximum value is calculated from about 2 seconds later. - In the case high power of 1kHz component is included in the measured noise source, the precision of measured value by this app largely decreases. - Sudden noise or impulsive sounds are not low frequency noises in general. - The previous calibration information can be maintained internally. - The analysis results may vary due to individual differences in iPhone devices. - The authorization to access built-in microphone and Photos will be confirmed by iOS system at first access. Please visit our iOS app support page for more information.

About

Noise Guru

Measure sound levels with precision to understand your environment and protect your hearing. Identify loud noises, monitor noise pollution, and find quiet spaces for recording. Features include a decibel dosimeter, background noise measurement, and geo-tagged recordings.

Highlights
  • Precise sound level metering (SPL)
  • DB Dosimeter for noise exposure tracking
  • Background noise measurement
  • Noise pollution monitoring
  • Geo-tagged noise recordings
  • Unlimited recording duration
Read full description

Want to expose the absurd loudness of your pet's snoring? Need to find a quiet place to record, so your social media video doesn’t turn out to be muffled? Take control of your sound environment with ease with the ultimate tool for measuring decibels and taking control of your hearing health. With precise sound level metering, you can measure the sound pressure level (SPL) and choose your preferred display format. The app also allows you to measure pet snoring loudness and find a quiet recording spot for social media users and streams. Features: - Keep track of the noise you're exposed to with the DB Dosimeter, set acceptable noise standards and be informed if the noise level exceeds the typical threshold. - Measure noise in the background. - Monitor noise pollution with DB Dosimeter. - Overlay video with noise recordings and geo-tagged location. - Set your customized display options with video effects - Record without limits on duration. Don't risk damaging your hearing with prolonged exposure to constant daily noise. Take control of your hearing health with this app and protect your hearing for the long term. “[..] perhaps as many as 40 million adults (24 percent)—have features of their hearing test that suggest hearing loss in one or both ears from exposure to loud noise. Researchers have also estimated that as many as 17 percent of teens (ages 12 to 19) have features of their hearing test suggestive of NIHL in one or both ears” NIH report on noise-induced hearing loss, NIH Publication No. 14-4233, March 2014 Terms of Use: http://aserykh.com/decibel/terms-of-use Privacy Policy: http://aserykh.com/decibel/privacy-policy

Screenshots

Low Frequency Detector4 screens
Noise Guru4 screens

Verdict

The call

The clearest difference is price: Noise Guru at Free against Low Frequency Detector's $9.99. Noise Guru also leads on rating (4.6 vs 2.8) and review sentiment (88% vs 50%). On ads, in-app purchases and device support there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Noise Guru is free to download; Low Frequency Detector costs $9.99 up front. Neither carries in-app purchases, so what you see is what you pay.

ReceptionRating · Positive reviews · Number of ratings

Noise Guru holds the better App Store score, 4.6 against 2.8. That said, the two scores are not equally well evidenced: Noise Guru has 362 ratings behind it against 6, so its average is the more settled of the two. Written reviews point the same way: 50% of Low Frequency Detector's written reviews are positive against 88% of Noise Guru's.

UpkeepUpdate frequency

Low Frequency Detector ships an update every 9 months, Noise Guru monthly. The most recent releases landed on November 2, 2026 and November 3, 2026 respectively.

Scorecard7 real differences · 3 level
Low Frequency Detector versus Noise Guru: the parameters behind the verdict, then further details
ParameterLow Frequency DetectorNoise Guru
Price$9.99Free — better
Rating2.8 (6 ratings)4.6 (362 ratings) — better
Positive reviews50.0% of reviews88.3% of reviews — better
Number of ratings6362 — better
Update frequencyEvery 9 monthsMonthly — better
AdsNoNo
In-app purchasesNoNo
MonetizationPaidFree — better
DevicesiPhoneiPhone, iPod — better
Requires iOS26.214.0 — better
Further details — not scored
Size1 MB15 MB
Age rating4+4+
DeveloperTOON,LLCAndrei Serykh

Customer experience

Low Frequency Detector

All ratings6 ratings
Positive50.0%
Neutral0.0%
Negative50.0%
Written reviews8 reviews
Positive50.0%
Neutral0.0%
Negative50.0%

Noise Guru

All ratings299 ratings
Positive91.0%
Neutral6.4%
Negative2.7%
Written reviews120 reviews
Positive88.3%
Neutral7.5%
Negative4.2%

Bugs and requests

Low Frequency Detector

Not enough reviews yet to summarise bugs or requests.

Noise Guru

Reported bugs

2 issues
  • Forced to leave a review to use the app
  • Can't delete max values

Requested features

2 requests
  • Add frequency meter
  • Add option to reset max/min values

In-app purchases

None

Low Frequency Detector

No in-app purchases

None

Noise Guru

No in-app purchases

Questions

Is Low Frequency Detector free?
Low Frequency Detector costs $9.99, with no in-app purchases.
Is Noise Guru free?
Noise Guru is free to download, with no in-app purchases.
Which has better reviews, Low Frequency Detector or Noise Guru?
Noise Guru is rated higher. Low Frequency Detector averages 2.8 out of 5 from 6 ratings, while Noise Guru averages 4.6 from 362 ratings.
Do Low Frequency Detector or Noise Guru have ads?
Neither Low Frequency Detector nor Noise Guru shows ads.
Which is updated more often, Low Frequency Detector or Noise Guru?
Low Frequency Detector ships an update every 9 months, and Noise Guru monthly. Most recently, Low Frequency Detector was updated on November 2, 2026 and Noise Guru on November 3, 2026.

Other comparisons