AI Master Track Online — Upload and Download in 60 Seconds
Engineer Guy's AI mastering engine listens to your track, applies a custom mastering chain tuned to its specific content, and returns a master that hits the loudness targets for every major streaming platform.
No credit card · No plugins · Works in your browser
60-Second Turnaround
Most tracks are mastered and ready to download in under a minute. No queue, no waiting.
Platform-Specific Targets
Spotify (-14 LUFS), Apple Music (-16 LUFS), YouTube (-13 LUFS). The AI knows the difference and masters accordingly.
Reference Track Mode
Upload a reference track and the AI masters your song to match its tonal character and loudness profile.
Multiple Export Formats
Download your master as WAV 16-bit (free), WAV 24-bit, or FLAC (Pro). Ready for any distributor.
What AI Track Mastering Actually Does
AI mastering isn't a preset. When you upload a track, the algorithm analyzes its unique spectral content — your specific low end, your specific midrange character, your specific dynamic range — and builds a mastering chain around what it finds. The result is a master that sounds natural for your track, not like a generic loudness-maximization pass.
Reference Track Mastering
One of the most powerful features is reference mastering. Upload your mix plus a reference track — a commercial release in your genre that represents the sound you're going for — and the AI calibrates your master to match the reference's tonal balance and loudness. It's how professional mastering engineers work, and it's now accessible without booking studio time.
True Peak and Inter-Sample Clipping
A common mastering mistake is limiting loudness while ignoring true peak levels. When streaming platforms convert your audio (especially from WAV to AAC or MP3), inter-sample peaks can clip even if your waveform looks clean. Engineer Guy's mastering sets a true peak ceiling of -1dBTP, preventing distortion in the distributed file that you'd never catch in your DAW.
When to Use AI Mastering vs. a Human Engineer
AI mastering is the right choice for independent releases, demos, content for social media, and most streaming releases at the indie level. A human mastering engineer becomes worth the investment when you're releasing on major labels, doing vinyl cutting (which has specific technical requirements), or when you need creative consultation — someone who can push back on the mix direction before it's locked.
For the vast majority of producers making music today, AI mastering delivers professional-standard results without the cost or scheduling friction of booking a studio.
Ready to hear the difference?
Upload your track and get AI feedback in under 60 seconds.
Frequently Asked Questions
What's the difference between auto-master and manual mastering?
Auto-master applies a full mastering chain automatically based on AI analysis of your track. Manual mastering means you're applying EQ, compression, and limiting yourself with plugins. Auto-master is faster and requires no expertise; manual gives you complete creative control.
Can I use AI mastering on a track that's already been mastered?
It's not recommended. Re-mastering a mastered track usually makes things worse — you're adding another generation of processing on top of an already processed file. Master from your raw, unmastered mix.
Does AI mastering work for hip-hop, electronic, rock — or just one genre?
Engineer Guy's mastering is genre-aware. The AI adjusts its approach based on the spectral and dynamic characteristics of the genre. Hip-hop masters differently from classical, and the AI accounts for that.
How do I know if my master is ready for streaming?
After mastering, Engineer Guy shows you the integrated LUFS measurement, true peak level, and dynamic range. Green on all three means you're ready to upload to any distributor.
Will Spotify turn down my master?
Spotify normalizes all tracks to -14 LUFS. If your master is louder than that, Spotify turns it down. If it's quieter, it plays as-is. Engineer Guy targets -14 LUFS so your track sounds exactly as intended.
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