# Streaming Loudness Preview

Measure your master once, then see the playback gain every major platform will apply — Spotify, Apple Music, YouTube, Tidal, Amazon, Deezer and more.

> Canonical page: https://elysiatools.com/en/tools/audio-streaming-loudness-preview

- **Category:** Media

- **Keywords:** streaming loudness, lufs target, spotify normalization, apple music sound check, youtube loudness, tidal, amazon music, deezer, soundcloud, playback gain, true peak, dbtp, bs.1770, mastering for streaming, loudness preview

## Overview

Every major streaming service measures the integrated loudness of your track (ITU-R BS.1770, in LUFS) and applies a playback gain so songs sit at a consistent level — the upload file itself is never modified. This tool measures your master with the same BS.1770-4 meter and computes, platform by platform, the gain that would be applied today: Spotify documents −14 dB LUFS in Normal mode (Loud −11 with a limiter engaging at −1 dB sample values, 5 ms attack / 100 ms decay; Quiet −19), and its boost rule leaves 1 dB of headroom for lossy encoding — a −20 LUFS master with −5 dBTP peaks is lifted only to −16, exactly as in Spotify’s published example. Apple Music’s Sound Check targets about −16 LUFS and turns quiet masters up; YouTube, Tidal and Amazon Music normalize loud masters down to about −14 LUFS but do not boost (Tidal normalizes by album; Amazon recommends −2 dBTP); Deezer targets −15 LUFS; SoundCloud’s player aims for −14 LUFS; Bandcamp plays your file as delivered; EBU R128’s −23 LUFS is included as the broadcast reference. The report shows, per platform: the target, the applied gain, the level your listeners will hear, the true peak after that gain, and whether the boost was capped by peak headroom. Two honest caveats from the platforms themselves: normalization is a listener-facing setting (Spotify, Apple and Tidal let users turn it off), and targets move over time — this is a preview of documented 2026 behavior, not a delivery spec. There is no loudness prize for exceeding a target: every dB gained above it is removed at playback, so master for the music and keep true peak at or below −1 dBTP (−2 dBTP for Amazon, and for masters louder than −14 LUFS on Spotify) so the lossy encoders have clean headroom.

## Inputs

- **Master audio** (file)
- **Spotify playback level** (select)

## When to use

- Before exporting final distribution masters to determine whether services like Spotify or YouTube will lower your track's playback volume.
- When preparing dynamic acoustic, jazz, or classical masters to verify if platform gain boosts will be limited by peak headroom rules.
- When checking true peak headroom against the −1 dBTP and −2 dBTP recommendations to prevent inter-sample distortion during lossy transcoding.

## How it works

- Upload your master audio file and select your desired Spotify playback tier setting (Normal, Loud, or Quiet).
- The tool performs an ITU-R BS.1770-4 integrated loudness measurement and scans the audio waveform for maximum true peak levels.
- It calculates service-specific playback offsets against platform targets—such as Apple Music Sound Check (−16 LUFS) and YouTube (−14 LUFS down-only)—factoring in platform-specific peak limits and boost headroom rules.
- An interactive HTML report presents a platform-by-platform breakdown showing applied gain, perceived listener loudness, and projected post-gain true peak values.

## Use cases

- Mastering engineers balancing album tracks to verify how uniform the relative loudness will remain across platforms with differing boost policies.
- Independent artists mastering loud electronic or rock tracks to preview how much gain reduction platforms like Apple Music and Spotify will apply.
- Podcast and audio drama producers ensuring voice-heavy audio meets broadcast benchmarks like EBU R128 (−23 LUFS) alongside commercial streaming targets.

## Frequently asked questions

### Does streaming loudness normalization modify my uploaded audio file?

No. Streaming platforms never modify your uploaded audio file; they only store metadata instructions that adjust the playback volume slider in the listener's app.

### Why does YouTube turn down my track while leaving quieter tracks alone?

YouTube normalizes hot masters down to roughly −14 LUFS to prevent abrupt loudness jumps, but its player does not apply positive gain to boost masters quieter than −14 LUFS.

### What true peak ceiling should I maintain for streaming platforms?

Maintain a true peak of −1 dBTP or lower. For masters louder than −14 LUFS or for delivery to Amazon Music, maintain at least −2 dBTP to avoid distortion during lossy encoding.

### How does Spotify's positive boost rule handle peak headroom?

Spotify leaves 1 dB of headroom for lossy encoding; for example, a −20 LUFS track with a −5 dBTP peak is boosted only to −16 LUFS so the peak does not exceed −1 dBTP.

### Does Bandcamp normalize uploaded music tracks?

Bandcamp applies no loudness normalization, streaming and delivering your uploaded master file at its original, unattenuated volume.

## Related tools

- [Podcast RSS Enclosure Checker](https://elysiatools.com/en/tools/audio-podcast-rss-enclosure-checker): Validate podcast episode audio against hosting expectations and cross-check it with your RSS feed: enclosure URL / length / type attributes, itunes:duration, GUID uniqueness, RFC 2822 dates, platform codecs and bitrates — byte-exact enclosure lengths included.
- [Codec Artifact Detector](https://elysiatools.com/en/tools/audio-codec-artifact-detector): Compare an original master with its lossy encode and flag pre-echo, transient smearing, bandwidth loss and stereo damage, with per-event timestamps.
- [Genre Classifier AI](https://elysiatools.com/en/tools/genre-classifier-ai): Classify a track into genres from measured evidence: GTZAN timbral-texture features, beat-grid pulse shape, band balance, key and dynamics — with a ranked top-3 and the reason behind every pick.
- [Podcast Chapter Marker Builder](https://elysiatools.com/en/tools/podcast-chapter-marker-builder): Build every podcast chapter format from one timecoded list: Podcasting 2.0 JSON + RSS tag, ID3v2.4 CHAP+CTOC burned into an MP3, Vorbis comments, mp4chaps, YouTube timestamps and SRT, with a per-player support matrix.
- [Audio Loudness LUFS Normalizer](https://elysiatools.com/en/tools/audio-loudness-lufs-normalizer): Measure integrated LUFS, true peak, and LRA, then normalize audio to Spotify, Apple Music, broadcast, or custom targets
- [Audio Podcast Loudness Compliance Report](https://elysiatools.com/en/tools/audio-podcast-loudness-compliance-report): Compare integrated LUFS, true peak, LRA, stereo/mono, bitrate and sample rate against Apple Podcasts, Spotify, YouTube, ACX and broadcast targets.
- [Mastering Chain Pro](https://elysiatools.com/en/tools/mastering-chain-pro): Run a full music mastering chain on one track: sub-rumble high-pass, corrective EQ, glue compression, character EQ, saturation, stereo widening, true-peak limiter, and two-pass linear loudness normalization to 2026 platform targets.
- [Instrument Identifier AI](https://elysiatools.com/en/tools/instrument-identifier-ai): Detect which instruments play in a track: onset-split note analysis scores every event against 13 timbre profiles and reports ranked instruments, families and per-note evidence.

## Samples

- [Copyright-Free FLAC Audio Samples](https://elysiatools.com/en/samples/flac-samples): Lossless FLAC audio samples for testing and development, mirrored from MP3 set with nature sounds and meditation music
- [Copyright-Free MP3 Audio Samples](https://elysiatools.com/en/samples/mp3-samples): Collection of royalty-free audio samples for testing and development purposes including nature sounds, meditation music, and ambient audio
- [Copyright-Free WAV Audio Samples](https://elysiatools.com/en/samples/wav-samples): Uncompressed PCM WAV audio samples for testing and development, mirrored from MP3 set with nature sounds and meditation music
- [Copyright-Free Raw PCM Audio Samples](https://elysiatools.com/en/samples/pcm-samples): Raw PCM s16le audio samples featuring nature ambience and relaxing music for waveform, playback, and conversion workflows