Frequency Loom

About Frequency Loom

Frequency Loom is an on-device audio and acoustics field bench for engineers, musicians, venues, classrooms, studios, and room-tuning work.

Session Desk turns isolated readings into repeatable projects. Record the microphone, interface, operator, position, calibration method, tags, and field notes for a room or signal chain. Capture live RTA passes, select a baseline, compare relative band changes, and export the complete record as CSV, a text report, or a JSON backup.

The rest of the bench keeps practical inspection tools together in one focused iPhone and iPad app:

- Real-time spectrum analyzer with octave-band views, peak hold, and NC overlay
- SPL-style level views with A, C, and Z weighting plus Slow, Fast, and Impulse response
- Scrolling spectrogram and chromatic tuner
- LUFS loudness views for podcast, streaming, and broadcast checks
- RT60 and multiband room-decay workflows
- Tone generator with sine, sweep, noise, and impulse modes
- Standing-wave heatmap and room-mode calculator
- THD, THD+N, SINAD, crest-factor, peak, and RMS inspection
- Crossover, mains-hum, speaker-alignment, polarity, and delay tools
- Input A/B for controlled digital-level comparisons
- Field Setup checklist with first-party source links and measurement limits
- Noise reference log with CSV export and in-app source notes
- Six bundled 48 kHz reference signals for offline work

Frequency Loom uses AVAudioEngine and Accelerate-based signal processing. Live input stays on the device. The app requires no account, includes no analytics or tracking SDK, and does not upload audio or session records.

Phone and tablet microphones are not assumed to be calibrated laboratory instruments. Absolute level and noise-reference results depend on the microphone, input path, calibration, placement, and environment. Uncalibrated sessions remain useful for relative before-and-after comparisons. Frequency Loom is a field reference tool, not a certified compliance meter, medical device, or electrical test instrument.