SonicDNACollector

Audio Measurement & Analysis

Free · Designed for iPad

NEW: IR Capture & NAM Capture — Create impulse responses and Neural Amp Modeler training data from your analog gear, all from your iPhone. Capture the DNA of your analog gear. SonicDNA Collector turns your iPhone and USB audio interface into a professional measurement station for digital modeling. ■ IR Capture — Impulse Response Recording Record studio-quality impulse responses from any analog gear: • Automated ESS (Exponential Sine Sweep) measurement • Farina deconvolution for accurate IR extraction • Export to 7 formats: Universal, Helix, Axe-FX, Quad Cortex, NAM, ToneX, Kemper • Quality scoring with SNR, T60, spectral analysis • 96kHz/24bit capture, 48kHz WAV export ■ NAM Capture — Neural Amp Modeler Training Data Create training datasets for Neural Amp Modeler: • Capture input/output signal pairs through your amp or pedal • Automated frame synchronization and resampling • Export matched WAV pairs (48kHz/16bit) ready for NAM training • Build your own amp/pedal models from real hardware ■ Precision Measurements • Log Sine Sweep: Frequency response analysis (20Hz–20kHz) • Gain Staircase: THD vs. gain characterization at multiple drive levels • Real-time FFT spectrum and VU metering • Session management with JSON metadata ■ Professional Audio Engine • 96kHz/24bit recording via USB audio interface • Real-time spectrum analysis with vDSP-optimized FFT • THD (Total Harmonic Distortion) measurement • Impulse response visualization ■ Library & Export • All captures automatically saved to Library • Share via AirDrop, Files, or any compatible app • Organized by session with full metadata ■ Who Is This For? • Guitarists & producers creating amp/cab IR collections • Developers building NAM or profiling models • Audio engineers archiving vintage equipment characteristics • Anyone who wants to digitally preserve analog tone ■ Requirements • iOS 17.0 or later • USB audio interface (e.g., ZOOM AMS-22, Focusrite, etc.) • Analog equipment to capture ■ Notes • This app can output 0dBFS test signals — please manage speaker/headphone volume carefully • Microphone permission is required for recording via audio interface • No internet connection required — fully offline operation

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Version 1.1.0 — IR Capture & NAM Capture NEW FEATURES • IR Capture: Record impulse responses from your analog gear and export as WAV files compatible with all major IR loaders (Helix, Axe-FX, Quad Cortex, Kemper, ToneX, NAM) • NAM Capture: Capture input/output signal pairs for Neural Amp Modeler training — create your own amp/pedal models • Library: All captured IR and NAM files are automatically saved and organized in the Library tab • 4-tab interface: IR Capture / NAM / Measurements / Library IMPROVEMENTS • Significantly improved UI responsiveness — resolved frame drops and UI hangs • Optimized FFT processing moved off the main thread • Shared audio engine across all tabs (reduced memory usage) • Canvas-based VU meters for smoother animation • Quality score now includes Schroeder SNR, EDT, T60, spectral flatness, and composite scoring UNDER THE HOOD • Firebase Analytics & Crashlytics for better stability monitoring • Migrated to @Observable for modern SwiftUI state management • Extracted shared UI components and eliminated code duplication

Version 1.1.0

The developer, Hakaru Hirose, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Not Collected

    The developer does not collect any data from this app.

    Privacy practices may vary, for example, based on the features you use or your age. Learn More

    Accessibility

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    Information

    • Seller
      • Hakaru Hirose
    • Size
      • 4.3 MB
    • Category
      • Music
    • Compatibility
      Requires iOS 17.0 or later.
      • iPhone
        Requires iOS 17.0 or later.
      • iPad
        Requires iPadOS 17.0 or later.
      • Mac
        Requires macOS 14.0 or later and a Mac with Apple M1 chip or later.
      • Apple Vision
        Requires visionOS 1.0 or later.
    • Languages
      • English
    • Age Rating
      4+
    • Copyright
      • © 2026 Hakaru Hirose
  • Developer Website
  • Privacy Policy

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