By SongTools.ai
LANDR processes your track and hands back a finished master. SongTools.ai's mastering tools tell you what's actually wrong with the one you already made. They solve different problems, here's how to tell which one you need.
Search for "AI mastering tool" and LANDR and SongTools.ai can both show up, which makes them sound interchangeable. They aren't solving the same problem.
LANDR is an automated mastering *service*: you upload a mix, its algorithm analyzes it and applies processing. EQ, compression, limiting, and hands you back a finished master. You don't see what it changed or why; you get a file.
SongTools.ai's Release Ready tool works the other way around. It analyzes a mix you've already made, or already mastered elsewhere, including with LANDR, and tells you specifically what's off: loudness relative to streaming targets, frequency balance issues, phase problems, sections that don't sit right. Nothing gets processed for you. It's a second opinion, not a finished product.
SongTools.ai does now also offer an actual mastering *process*, not just a diagnostic, AI Mastering uses reference-track matching: you upload your mix plus a reference track whose sound you want to match, and it matches your loudness, tonal balance, and stereo width to that specific reference. That's a different approach from LANDR's genre-preset processing, but it does produce a finished, processed file, which changes the framing below.
Upload a mix, LANDR's algorithm processes it, you get a mastered file back. Pricing runs roughly $11–25/month depending on tier (unlimited masters at the higher end), or about $10 for a single one-off master. It's built for artists who want a finished master without hiring an engineer or learning mastering themselves, speed and convenience are the whole pitch.
The tradeoff is the same one with any black-box process: you get an output, not an explanation. If the result doesn't sound right, LANDR doesn't tell you *why*, you're stuck re-running it with different settings or reference tracks and hoping.
Release Ready doesn't produce a mastered file. It analyzes what you already have, loudness (LUFS) against real per-platform streaming targets, frequency and stereo balance, clipping and phase issues, and tells you specifically what to fix and why, in terms you can act on whether you're mastering it yourself, sending notes to an engineer, or deciding whether a LANDR pass actually got your track streaming-ready.
AI Mastering is the other half of it, and it does produce a processed file: you supply your mix and a reference track, and it matches your loudness, frequency balance, and stereo width to that reference. Unlike LANDR's generic genre profile, the target is a specific track you picked, so you know exactly what sound it's being matched toward.
- If you want a finished, ready-to-upload master with no manual work and you're comfortable not knowing exactly what got changed or what target it was matched to, that's LANDR's whole job.
- If you want a finished master but want to choose the actual reference sound yourself rather than trust a black-box genre preset, that's what AI Mastering is for.
- If you want to understand what's actually wrong with a mix or master, including one LANDR, AI Mastering, or an engineer already produced, before you release it, that's what Release Ready is for.
- Plenty of artists reasonably use more than one of these: master with AI Mastering or LANDR for the finished file, then run Release Ready against real streaming-platform targets before uploading.
LANDR trades transparency for speed, you get a result fast, but not an explanation of what changed or why. AI Mastering keeps you in control of the target (you choose the reference) while still handing back a finished file. Release Ready doesn't process anything at all, it trades a finished file for a clear explanation you still have to act on, whether that's remixing yourself, adjusting settings, or briefing an engineer. None of the three is strictly "better"; they're built for different points in the same workflow.
All the tools discussed in this article are available on SongTools.ai, free to explore.