Use case
Use SignalMetric when a room, microphone, speaker, or recording has an audio problem that needs measurable evidence instead of a subjective guess.
Product guide
Audio evidence and inspectionSignalMetric
Inspect loudness, peaks, spectrum, and waveform detail when a recording, room, or device signal needs evidence instead of guesswork.
- Levels
- Spectrum
- Waveform
Overview
SignalMetric Audio evidence and inspection
SignalMetric gives audio troubleshooting a dedicated on-device workspace for RMS, peak hold, true-peak estimates, headroom, spectrum shape, timeline energy, and waveform detail.
Related topics
- audio spectrum analyzer
- sound level meter
- waveform inspection
In practice
Where it fits, how it works, and what stays private.
How it works
Open a live microphone or audio file, compare level, spectrum, timeline, scope, and waveform views, then inspect the moment where the signal changes.
Privacy boundary
Analysis runs in the on-device workspace. Audio does not need an account-based cloud service for the inspection workflow.
SignalMetric engineering notes
SignalMetric engineering notes
Technical decisions, implementation details, and product context published for SignalMetric.
[RELEASE] SignalMetric 2.0: One Audio Workflow on iOS and Android
SignalMetric 2.0 aligns iOS and Android around file checks, recording preparation, A/B comparisons, environment noise and a redesigned instrument workspace.
A Practical SignalMetric Session: From Demo to Local Recording
A source-first workflow for learning the meter, inspecting live audio and files, and creating an explicit local recording only when needed.
Building SignalMetric: Four Views of One Live Signal
How SignalMetric keeps its live meter, spectrum, timeline, and waveform views coherent without allowing real-time work to become a UI backlog.
What an Audio Meter Is Actually Telling You
A practical guide to the different questions answered by dBFS, LUFS, True Peak, spectrum, history, and waveform views in SignalMetric.