Comparison

Noise Spectrum Logger vs Computer Science Converter

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

Head to head
About

Noise Spectrum Logger

Visualize sound frequencies in real-time with a dynamic spectrum display. Log and export audio data for analysis, with options for smoothing and background processing. Access all features offline.

Highlights
  • Real-time spectrum display (20-20000Hz)
  • Zoomable spectrum view
  • Maximum value highlighting
  • Spectrum smoothing options (Mean/RMS)
  • Logging and CSV export
  • Background processing
  • Offline functionality
Features
Read full description

1. DESPLAY The power spectrum of sound is displayed in the range of 20 - 20000Hz. You can zoom in/out the spectrum by pinching in/out smoothly. Also landscape orientation is supported. 2. USEFUL While "hold" switch is ON, the maximum values are displayed in red color. You can select "Mean" or "RMS" as the way of smoothing the spectrum out. 3. LOGGING By sliding "log" switch, the logging mode is started. To choose a past log from "History" tab, you can pull it from iPhone via email as a CSV file. The CSV file can be edited with Excel etc. 4. AVAILABLE Without cellular data service, the full functions are available. 5. BACKGROUND PROCESSING You can use the logging function even when iPhone in your pocket. 6. TECHNICAL NOTE Sample rate: 44.1kHz Bit depth: 32bit float FFT window function: Blackman FFT samples: 8192

About

Computer Science Converter

This app facilitates quick conversions between various number systems including decimal, binary, hexadecimal, and octal. It also supports signed integer conversions, text encoding, IP address calculations, and subnetting tools. Perform bitwise operations like AND, OR, and XOR with ease.

Highlights
  • Decimal, Binary, Hexadecimal, Octal conversions
  • Signed integer and Two's Complement conversions
  • Text to Binary/Hexadecimal conversion
  • IP Address and Subnetting calculations
  • Bitwise operations (AND, OR, XOR, NOT)
  • Identifies IP address class and Subnet IDs
Features
Read full description

Easily and simultaneously convert between: Unsigned Conversions: - Decimal (dec) - Binary (bin) - Hexadecimal (hex) - Octal (Oct) Signed Conversions: - 16-Bit Integers - 32-Bit Integers - Binary (Two’s Complement) - Hexadecimal (Two’s Complement) Text: - String - Decimal - Binary (New) - Hexadecimal IP Addresses: - Binary, and Decimal Conversions Subnetting: - Create and Find subnets - Identifies IP address class - Shows Subnet IDs for each subnet in binary and decimal - Shows Broadcast ID and host range for each subnet ID - Shows the total number of bits stolen, and the total number of hosts Calculate Bitwise Operations: - AND - OR - XOR - NOT - LEFT SHIFT - RIGHT SHIFT Good for computer science related tasks. - Networking - Assembly Language - Language Processing - Operating Systems - etc.

Screenshots

Noise Spectrum Logger4 screens
Computer Science Converter4 screens

Verdict

The call

The clearest difference is rating: Noise Spectrum Logger at 5.0 against Computer Science Converter's 3.8. Computer Science Converter's advantage is in-app purchases (none vs 1) and ratings volume (10 vs 1). On price, update cadence, ads and monetization model 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

Both are free to download. Noise Spectrum Logger sells 1 one-off in-app purchase. Computer Science Converter asks for nothing beyond the download.

ReceptionRating · Positive reviews · Number of ratings

Noise Spectrum Logger holds the better App Store score, 5.0 against 3.8. That said, the two scores are not equally well evidenced: Computer Science Converter has 10 ratings behind it against 1, so its average is the more settled of the two.

UpkeepUpdate frequency

Noise Spectrum Logger ships an update every 10 months, Computer Science Converter every 12 months. The most recent releases landed on October 7, 2026 and October 24, 2026 respectively.

Scorecard3 real differences · 7 level
Noise Spectrum Logger versus Computer Science Converter: the parameters behind the verdict, then further details
ParameterNoise Spectrum LoggerComputer Science Converter
PriceFreeFree
Rating5.0 (1 ratings) — better3.8 (10 ratings)
Positive reviews—85.7% of reviews
Number of ratings110 — better
Update frequencyEvery 10 months — betterEvery 12 months
AdsNoNo
In-app purchasesYesNo — better
MonetizationFreeFree
DevicesiPhone, iPad, iPod — betteriPhone, iPod
Requires iOS15.514.5 — better
Further details — not scored
Size5 MB12 MB
Age rating12+4+
DeveloperYukiko IwaiAndrew Rotert

Customer experience

Noise Spectrum Logger

All ratings1 ratings
Positive100.0%
Neutral0.0%
Negative0.0%

Computer Science Converter

All ratings10 ratings
Positive80.0%
Neutral0.0%
Negative20.0%
Written reviews7 reviews
Positive85.7%
Neutral0.0%
Negative14.3%

In-app purchases

1 purchases

Noise Spectrum Logger

One-time1
  • Remove Ads$3.99
None

Computer Science Converter

No in-app purchases

Questions

Is Noise Spectrum Logger free?
Noise Spectrum Logger is free to download, with in-app purchases available.
Is Computer Science Converter free?
Computer Science Converter is free to download, with no in-app purchases.
Which has better reviews, Noise Spectrum Logger or Computer Science Converter?
Noise Spectrum Logger is rated higher. Noise Spectrum Logger averages 5.0 out of 5 from 1 ratings, while Computer Science Converter averages 3.8 from 10 ratings.
Do Noise Spectrum Logger or Computer Science Converter have ads?
Neither Noise Spectrum Logger nor Computer Science Converter shows ads.
Which is updated more often, Noise Spectrum Logger or Computer Science Converter?
Noise Spectrum Logger ships an update every 10 months, and Computer Science Converter every 12 months. Most recently, Noise Spectrum Logger was updated on October 7, 2026 and Computer Science Converter on October 24, 2026.

Other comparisons