
About
This app analyzes audio waveforms to create visual voiceprints as TFFT images. It offers extensive customization for FFT analysis, including adjustable ranges, sizes, scales, and window functions. A simple waveform generator is also included for learning purposes.
What's New in Audio SA
1.0.7
August 24, 2026
performance improvements
In-App Purchases
$3.99
Remove ads.
Make this app executable without a ticket.
User reviews
Developer apps
FAQ
What is Audio SA?
Audio SA is a spectrum analyzer that captures voiceprints as TFFT images. It allows users to export these images in high resolution and offers extensive customization for audio waveform analysis.
How does Audio SA generate voiceprints?
Audio SA records your voice and processes it using the TFFT algorithm to create a visual representation called a voiceprint. You can then export this as a high-resolution image.
Can I customize the audio analysis in Audio SA?
Yes, Audio SA offers deep customization. You can adjust the analysis range, FFT size (from 256 to 32768), power spectrum scale (Linear, Log, Mel), and select from various window functions like Blackman, Hamming, and Hann.
Does Audio SA have a waveform generator?
Yes, Audio SA includes a simple waveform generator. It can create sine waves, square waves, Gaussian white noise, and combinations of these, which is useful for learning and testing.
How does Audio SA handle ads and purchases?
Audio SA is free to download and use, but it consumes tickets to record audio. Tickets can be earned by watching ads. An in-app purchase is available to remove ads and record without tickets.
What devices is Audio SA compatible with?
Audio SA is designed for iOS devices, including iPhone, iPad, and iPod. It is rated for ages 4 and up.
How often is Audio SA updated?
The latest version of Audio SA is 1.0.7, last updated on August 24, 2026. This suggests a relatively recent update frequency, though specific intervals are not detailed.
Is Audio SA suitable for machine learning applications?
Yes, Audio SA can be used for machine learning. The app allows for detailed consideration of settings like analysis range, FFT size, and power spectrum scale, which are crucial for preparing data for machine learning.









