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loudness-compliance board · triage clipboard with three lanes

Audit Audio Track Loudness and True Peak Headroom for Broadcast Standards

Mastering podcast episodes and streaming audio for Apple Podcasts, Spotify, and YouTube requires hitting strict loudness standards, but improper limiter settings lead to platform volume penalties and digital inter-sample distortion. Enter your audio track integrated LUFS, maximum true peak readings, and platform standards to audit compliance and flag true peak violations.

1 · audio segment name | integrated LUFS (negative number) | max true peak in dBTP

FIRST-LOAD

HYPOTHESIS / PROTOTYPE — checkout unavailable. Calculation is local. A draft is saved automatically in this browser profile when storage is available; Reset to sample clears it. Optional Pro history stores only five summaries and has its own deletion control. State links encode your inputs and can remain in browser history, clipboard or recipients’ records; share only non-sensitive rows. Optional external AI formatting leaves this device. The required site analytics beacon reports page activity; shared URLs contain encoded inputs. Do not treat an encoded URL as private. The calculator has no input-collection endpoint.

Data note: The loudness-compliance board processes audio segment name | integrated LUFS (negative number) | max true peak in dBTP locally. Starter/sample selection and Run compute in this tab; no input is sent by the calculator. A local draft may be saved; explicit state-link sharing or optional external AI formatting can disclose inputs. Use non-sensitive labels.

Perspective: Before: mastered podcast episodes were rejected or distorted by platform volume normalization. After: integrated LUFS and true peak headroom are audited directly against streaming broadcast standards.

2 · Read the loudness-compliance board

Audio engineering loudness arithmetic only, not digital signal processing certification or acoustic broadcast warranty. Streaming platform delivery specifications and transcoding codecs evolve over time. Test final masters in target listening environments.

Optional filing controls are a local prototype.

Checkout is unavailable. The reading above is complete; print, CSV and five local summaries are optional enhancements, not hidden answers.

Before using the loudness-compliance board

Streaming audio platforms and broadcast networks enforce international loudness standards (such as ITU-R BS.1770-4 and EBU R128) using Loudness Units Full Scale (LUFS). Apple Podcasts and Spotify normalize spoken word and music content to approximately -14.0 LUFS integrated loudness (or -16.0 LUFS for certain European broadcast standards), while mandating a maximum true peak ceiling of -1.0 dBTP (decibels True Peak) to prevent inter-sample clipping during lossy AAC or MP3 encoding. Enter each audio segment, its measured integrated LUFS, and its maximum true peak. The triage board identifies loudness deviations from platform standards and flags tracks that risk harsh digital clipping.

Boundary and sources

Audio engineering loudness arithmetic only, not digital signal processing certification or acoustic broadcast warranty. Streaming platform delivery specifications and transcoding codecs evolve over time. Test final masters in target listening environments.

Mechanism: competence-autonomy-loop

Optional AI formatting, never the calculation

Manual entry completes this loudness-compliance board for free without signup. If available to you, the free AI Studio interface linked in the sources may format fictional or non-sensitive notes; external access may require an account. No API key or AI call is built into this tool. Free-tier content may be used to improve products. Review each cell and transcribe it to the labeled row schema; do not paste the JSON object into the row box.

Format only these fictional or non-sensitive notes for a loudness-compliance board. Return strict JSON shaped as {"rows": [{"label": "string", "cells": ["string", "string"]}], "setting": "string"}. The columns are audio segment name | integrated LUFS (negative number) | max true peak in dBTP; the setting is Target platform integrated LUFS standard. Keep all supplied strings and quantities exactly; do not calculate, infer missing entries, invent dates or add advice. If any required value is missing, return an empty rows array and ask me for it separately. I will verify every cell against my source and manually transcribe rows using vertical bars before running the local calculator.

An AI response is not executed, fetched or trusted as a result. Missing values remain questions; the strict local parser checks the rows you actually enter.