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AudioMagus · Mastering Engine v4.2

LUFS-Accurate Masters.
Broadcast-Ready in 47 Seconds.

The AI mastering engine trained on 18.3 million commercially released tracks — calibrated against the loudness standards used by Spotify, Apple Music, Netflix, and the BBC. Release-ready output, every render.

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  • 47s Avg. single-track turnaround
  • 6m 14s Full 12-track album render
  • 18.3M Tracks in the training corpus
  • 0.21LU Album-side loudness variance

Trusted by 2.4M creators · 142 countries · shipped on 14 RIAA-certified gold & platinum records

  • 2.4M Registered users across 142 countries
  • 11.4K+ Paying Pro subscribers · $9.8M ARR FY25
  • 4.8/5 Across 38,000+ verified Trustpilot reviews
  • $24M Series B · led by Atomico · Warner Music Group
  • Atlantic Records
  • Ninja Tune
  • Stones Throw
  • Universal Music Group
  • Warner Music Group
  • BBC iPlayer (broadcast)
  • Netflix (post-production)

Best AI Music Tool 2024 — MusicTech Awards · Mixmag Editor's Choice 2025 · Sound On Sound 2025 · Cited in the 2024 Journal of the Audio Engineering Society

Console mockup of AudioMagus' per-platform LUFS targeting dashboard with six streaming and broadcast targets in spec.
Per-platform LUFS targets · single render
One render · every target

LUFS-compliant masters, tuned individually per platform — in a single render.

AudioMagus is the first AI mastering engine to ship masters calibrated against the loudness standards used by Spotify, Apple Music, YouTube, Netflix, and BBC iPlayer — plus a DDP-encrypted CD master — from one upload. No re-renders, no manual re-targeting, no post-export patchwork.

  • Streaming

    Spotify, Apple Music & YouTube

    Targets −14 LUFS for Spotify and YouTube, −16 LUFS for Apple Music's Sound Check profile, with true-peak held under −1 dBTP across the full track.

  • Broadcast

    Netflix & BBC iPlayer

    Calibrated against the EBU R128 / ATSC A/85 loudness gates Netflix and the BBC apply to delivered masters — dialogue-safe across the album.

  • Physical

    CD · DDPi 2.1

    The only AI engine that outputs DDPi 2.1 directly — track markers, ISRC, and CD-text populated, ready to send to the pressing plant.

  • Pro

    Engineer review, surfaced

    AudioMagus handles the 95% of release-ready work — leaving the nuance and creative-intent calls to the engineer, with a side-by-side A/B inside the DAW.

See the integrations How the engine works →

How it works

A release-ready master in three steps. Ninety seconds, start to finish.

No service contract, no revision rounds. Drop a mix, pick a target, render. The same pipeline that has shipped 14 RIAA-certified gold and platinum records since 2022.

  1. Upload your mix

    Drag-and-drop a WAV, AIFF, or FLAC up to 24-bit / 192kHz, or hand off a multitrack stems bundle. AudioMagus auto-detects tempo, key, and dynamic range, then routes the file through the right model variant — vocal, full-band, podcast, or stem-separated.

    • WAV
    • AIFF
    • FLAC
    • STEMS

  2. Pick your target

    Choose where the master will live — Spotify, Apple Music, YouTube, Netflix, BBC iPlayer, CD/DDP, or a custom LUFS preset. Each target is calibrated against the loudness reference the platform actually measures against, not a generic -14 LUFS guess.

  3. Render & download

    Hit master. The pipeline runs on our cloud render farm and returns a WAV, MP3, FLAC, or DDP-encrypted CD image in under 90 seconds for a single track — 6 minutes 14 seconds for a full 12-track album. Drop it straight into your release pipeline.

    master_01.wav · -14 LUFS · 47s render
Tour the engine

First render is free. No card required.

Album consistency

Twelve tracks. Six minutes fourteen seconds. Zero loudness drift between songs one and twelve.

Hand-mastered albums drift. The average loudness variance across a hand-mastered 12-track record sits at 0.8 LU — track three sits louder than track nine, and the listener reaches for the volume knob between every song. AudioMagus renders an entire album to a single, loudness-locked chain, with an average variance of 0.21 LU across the full record. The same pipeline outputs a DDPi 2.1 image directly for CD replication — no intermediate bounce, no second-master pass.

  • 12-track album mastered in 6m 14s on the cloud render farm
  • 0.21 LU variance vs. 0.8 LU hand-mastered average
  • DDPi 2.1 image output in one session — the only AI engine that does it directly
  • Locked target across LP, EP, or podcast season in a single render
Render a full album

Performance · Verified January 2026

The spec sheet, in numbers an engineer will actually verify.

47s Average single-track render From upload to -14 LUFS Spotify-ready master, median across 2.4M users.
6:14mm:ss Full 12-track album End-to-end pipeline on the cloud render farm, including DDPi 2.1 image output.
0.21LU Album loudness variance Average drift across a 12-track record vs. 0.8 LU for hand-mastered albums.
38k+ Verified Trustpilot reviews Average rating 4.8/5 across 38,000+ public reviews as of January 2026.
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Free tier includes three renders per month. No card required.