Mac Tools vs Sound Spectrum Analysis
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Mac Tools
This utility transforms your smartphone into a sound and vibration detection tool for diagnosing issues in vehicles and machinery. It helps pinpoint rattles, squeaks, and grinding sounds, making repairs easier.
- Sound & vibration detection
- Locates defective parts
- User-friendly interface
- Analog/Digital display options
- Adjustable sound settings
- Informative user guide
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The Mac Tools SmartEAR2 Sound & Vibration Detection app was developed to help assist the service technician in locating and finding defective or worn parts in automobiles, heavy machinery or industrial equipment where vibration, rattles, squeaks and grinding sounds would be associated making the task very difficult or impossible to diagnose. When used with our specially designed hardware kits your smartphone will be transformed into a state of the art Sound & Vibration Detection Technicians Tool, allowing for ease of locating and finding those troubled areas. NOTE: Additional hardware is required to use this app. For information on how to purchase hardware please contact your local Mac Tools Distributor or call 1-800-MAC-TOOLS Features: User friendly interface and intuitive operation. Sound level reading displays average, peak and real-time values. Sound level readings are displayed in either Analog or Digital. Analog and Digital readings have 2 display panels the user can choose from. Analog Meter or Analog Wave-Form. Digital Numeric or Digital Bar Graph. Background sound off-setting, sample rates, decibel off-setting can be manually be set. Reset/Refresh buttons reset/refresh values to default settings. Sound Level Reading Sampling Rate Decibel Off-set Master Volume Control User information guide includes informative facts about sound perception and permissible noise level exposure as well as a sound level comparison reference chart. Additional Information: Required: Any iOS device running iOS5.0+. Recommended: iPhone 4 and newer/ iPod Touch 4 and newer. Compatible: iPad 2 and newer.
Sound Spectrum Analysis
Analyze sound spectrums in real-time using your device's microphone. This tool offers detailed frequency and amplitude scales, various window functions, and octave band analysis. It can also function as a noise level meter and allows for data export and saving of measurements.
- Real-time sound spectrum analysis
- Fast Fourier Transform (FFT) with adjustable size
- Linear and logarithmic frequency/amplitude scales
- Octave band analysis (1/1, 1/3, 1/6, 1/12)
- Multiple window functions
- A- and C-Weightings
- Sound level meter (dB SPL)
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The application is designed for analysis of a sound spectrum in real time (with a microphone). Besides, the application can be used as a measuring instrument of noise level (not for exact measurements). • Sound wave. • Fast fourier transform (FFT). FFT size: 2048 (the accuracy of determining the frequency of ±12 Hz), 4096 (±6 Hz), 8192 (±3 Hz), 16384 (±2 Hz), 32768 (±1 Hz), 65536 (±0.5 Hz), 131072 (±0.2 Hz). • Linear and logarithmic frequency scale. • Linear frequency scale with maximum details (there is a choice for the displayed frequency range). • Linear and logarithmic amplitude scale. • Octave bands (1/1, 1/3, 1/6, 1/12). • Window functions (Blackman, Hamming, Hann (Hanning), Blackman–Nuttall, Gaussian, Flat top). • A- and C-Weightings. • Peak hold. • Exponential spectrum averaging. • Peak frequency detection. • Values of any point (for frequency scale and sound wave (at maximum detail)). • Sound level meter (dB SPL). You can calibrate your microphone by launching a signal generator with a sinusoid frequency of 1000 Hz on another device and making the volume very low. When the sound is almost inaudible, it is necessary to find the amplitude for the frequency of 1000 Hz on the spectrum (FFT size: 16384). This value should be multiplied by 1.2 (to compensate for spectral leakage). It will be the reference value for your microphone. ESTIMATE THE TOTAL NOISE LEVEL BY USING THE SOUND WAVE MODE AT THE MAXIMUM VALUE. • Sample rate: 48000 Hz. • Taking a screenshot by lightly touching the screen. • Export data to a WAV or text file ("Y=[y1 y2... yn]", "y1;y2;... yn", "x1;y1\nx2;y2;..."). Number of points is adjusted via "FFT size". • Automatic stop in the sound wave mode (when increasing or decreasing signal strength). • Automatic stop in the spectrum mode. Now you can stop data collection when the start of the fading signal reaches the end of the FFT buffer. The beginning of the signal is not calculated accurately (just like with an automatic stop in the sound wave mode). • Test wave. • Saving the measurement results in the application. Files with saved data (SavedData_[date]_[time].txt) can be copied to a desktop/laptop computer or transferred to another iPhone using iTunes. There are buttons for quick loading and comparing saved files. • Dark theme. • List of frequency peaks. If several peaks have a common base, then they are considered as one peak. The minimum height of the peak for octave bands is 2 dB. • Interpolation of frequencies in the list of peaks. To interpolate the frequency of the peak, select the Gaussian window (the accuracy of determining the frequency can increase by 10-100 times). The calculation is not done for the extreme bins or if the adjacent bin is zero. • Calculation of the amplitude (in the list of peaks) using neighboring bins (to compensate for spectral leakage and use of the window). The number of bins used for calculation is written in brackets. • Collecting recent data (last minute). You can move over all collected data. The amplitude of the waveform can be changed in the sound wave mode. • Calibration file. The app recognizes only files for the UMIK-1 microphone, but you can specify which microphones you need support for.
Screenshots
Verdict
The clearest difference is rating: Mac Tools at 5.0 against Sound Spectrum Analysis's 3.6. Mac Tools also leads on review sentiment (100% vs 60%) and in-app purchases (none vs 1). Sound Spectrum Analysis's advantage is update cadence (every 5 weeks vs every 23 months) and ratings volume (42 vs 1). On price, ads, device support and iOS requirement 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
Both are free to download. Sound Spectrum Analysis sells 1 one-off in-app purchase. Mac Tools asks for nothing beyond the download.
Mac Tools holds the better App Store score, 5.0 against 3.6. That said, the two scores are not equally well evidenced: Sound Spectrum Analysis has 42 ratings behind it against 1, so its average is the more settled of the two. Written reviews point the same way: 100% of Mac Tools's written reviews are positive against 60% of Sound Spectrum Analysis's.
Mac Tools ships an update every 23 months, Sound Spectrum Analysis every 5 weeks. The most recent releases landed on September 10, 2026 and September 21, 2026 respectively.
| Parameter | Mac Tools | Sound Spectrum Analysis |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (1 ratings) — better | 3.6 (42 ratings) |
| Positive reviews | 100.0% of reviews — better | 60.0% of reviews |
| Number of ratings | 1 | 42 — better |
| Update frequency | Every 23 months | Every 5 weeks — better |
| Ads | No | No |
| In-app purchases | No — better | Yes |
| Monetization | Free — better | Free with in-app purchases |
| Devices | iPhone, iPad, iPod — better | iPhone, iPod |
| Requires iOS | 15.0 — better | 15.6 |
| Further details — not scored | ||
| Size | 12 MB | 5 MB |
| Age rating | 4+ | 4+ |
| Developer | JS Products, Inc. | Dmitriy Kharutskiy |
Customer experience
Mac Tools
Sound Spectrum Analysis
In-app purchases
Mac Tools
No in-app purchases
Sound Spectrum Analysis
- Full version$2.99
Questions
Is Mac Tools free?
Is Sound Spectrum Analysis free?
Which has better reviews, Mac Tools or Sound Spectrum Analysis?
Do Mac Tools or Sound Spectrum Analysis have ads?
Which is updated more often, Mac Tools or Sound Spectrum Analysis?
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