First, a 30-second recap of what mastering does
Mastering is the final polish applied to your finished stereo file: competitive loudness, balanced overall tone, safe peaks, and consistency across a release. It won't rebalance instruments or repair a rough generation — we wrote an honest guide to what mastering can and can't fix if you want the full job description. What matters here: every option below does the same category of job. The differences are workflow, cost model, and where your audio goes.
Option 1: Logic Pro's Mastering Assistant — if you already live in a DAW
Apple's own answer ships inside Logic Pro: Mastering Assistant analyzes your final mix, applies corrective EQ, targets loudness at industry standards (around −14 LUFS), and adjusts stereo width. It's a genuinely capable tool, and if you already own Logic and know your way around it, it's the built-in route.
But notice the assumption: it lives at the end of a DAW workflow. You're buying and learning a full production environment to use its last step. If your track was made in Logic, that's no cost at all. If your track came out of an AI generator or another app as a finished file, importing it into a DAW session just to master it is the long way around — Logic is a deep tool, and "deep" is another word for "time."
Best for: people who already produce in Logic Pro.
Option 2: Cloud AI mastering — if you don't mind uploading
Services like LANDR, eMastered, and BandLab master your track in the browser: upload the file, algorithms process it on their servers, download the result. Nothing to install, works on any computer, and BandLab's free tier (four free presets) makes it the cheapest way to hear what mastering does to your track.
The trade-offs are structural, not quality complaints. Your audio is uploaded to someone's server — a privacy consideration if your work is unreleased. Iteration means re-uploading and waiting, which adds friction exactly where AI-music workflows need speed (you re-generate often, so you re-master often). And most paid tiers are subscriptions or per-track credits, which keep billing as long as you keep releasing. We compared these trade-offs in depth in our cloud vs. local mastering guide.
Best for: occasional masters, any-device access, trying before spending anything.
Option 3: A local mastering app — if you want it done on your Mac
The third option is the one search results barely surface, because the category is newer: a dedicated mastering app that runs entirely on your Mac. This is what we build — Tonekai — so read this section knowing who's talking, and check the first two options against it honestly.
The workflow: drop your finished file into the app. On-device AI analyzes the track and handles loudness, tonal balance, and peak control automatically; a built-in A/B lets you compare against the original before exporting. There's no session to set up, no plugin chain to learn, and — because processing is local — no upload: your audio never leaves your Mac, it works offline, and re-mastering after a re-generation takes minutes, not an upload queue. Tonekai is free to try, with a one-time Pro Unlock (no subscription) for WAV/AAC export and unlimited mastering. It's Apple Silicon native and needs macOS 14 or later.
What it's not: a DAW replacement or a repair tool. If you want hands-on control of every EQ node, Logic gives you more knobs. If your generation has baked-in problems, no mastering stage fixes those.
Best for: finished files that need mastering without a DAW — especially AI-generated tracks and frequent iteration.
The 5-step no-DAW mastering workflow
Whichever tool you pick, the workflow around it is the same — and it's where most of the quality actually comes from.
Step 1: Export the best source you can. WAV over MP3, always. Mastering amplifies what's in the file, compression artifacts included.
Step 2: Master it. One pass, default settings first. Resist the urge to push everything to maximum — louder is not better past the point where streaming normalization turns it back down.
Step 3: A/B against the original at matched volume. Louder almost always sounds "better," which fools your ears. Compare fairly and ask: clearer? punchier? or just louder?
Step 4: Check it like a listener. Small speakers, phone speaker, car. Our ear-only checklist walks through five listening tests that need no meters.
Step 5: Fix problems at the right layer. If the master sounds wrong in ways Step 4 reveals — buried vocal, harsh details — the problem usually lives in the source, not the mastering. Re-generate or re-export, then master again. With a local app this loop takes minutes, which is precisely why iteration speed matters more than any single pass.
Which option should you actually pick?
Be honest about your situation. Already produce in Logic? Use Mastering Assistant; you own it. Master a track once in a while, on whatever computer is nearby? A cloud service is fine, and BandLab's free tier costs nothing to try. On a Mac, mastering finished files regularly — especially AI generations you iterate on? That's the workflow a local app is built around, and it's the case where we'd point you at Tonekai without hedging.
Download Tonekai on the Mac App Store — free to try.
Frequently asked questions
Can GarageBand master my track? GarageBand doesn't include Logic's Mastering Assistant. You can approximate some mastering moves with its stock plugins, but it's a manual, DAW-style workflow — the thing this guide is helping you avoid.
Do I need to spend money to master at all? No — BandLab's free presets or a trial of a local app will get you a real master. You'll hit paid tiers when you need full export formats or volume.
Is AI mastering actually good enough for release? For loudness, tone, and peak safety on a well-made track: yes, routinely. What it can't do is fix problems upstream of mastering — here's the honest boundary.
Does any of this require Apple Silicon? Cloud services run in a browser on anything. Tonekai is Apple Silicon native and requires macOS 14+. Logic Pro runs on both Intel and Apple Silicon Macs, though some Mastering Assistant presets are Apple Silicon-only (Apple's documentation).
The bottom line
You don't need a DAW to master a song on a Mac in 2026. You need a finished file, one of three tools — a DAW you already own, a cloud service, or a local mastering app — and the five-step workflow above. Pick the option that matches how often you master and where you want your audio processed, spend your saved hours making the next track, and let the tool do the last 10%.