Advanced Mastering GPT Need Testers

[Dozer1]

NEED TESTERS

I just released Super Dozer Audio Master Lab, a custom GPT built for serious audio mastering help for NON-AI and AI music.

It is free to try. Free ChatGPT users can still test it and get mastering help from it. Paid ChatGPT users may get more out of it because they usually have better file and tool limits.

I’m looking for artists, producers, engineers, Suno creators, AI music makers, independent musicians, and anyone with songs that need a cleaner, louder, harder-hitting, better-translating final master.

This is not just a “make it louder” GPT. It is built around real mastering logic.

For a long time, I kept seeing people say GPT could not help with mastering music, especially not actual uploaded songs. So I built a custom GPT around the way I actually think through mastering as an audio engineer.

Super Dozer Audio Master Lab can help with autonomous mastering, reference-style mastering, bass-enhanced mastering, transparent bass boost, AI de-hiss cleanup, de-click / render tick cleanup, subtle high-frequency recovery after de-hiss, kick punch recovery from the original track, kick transient enhancement, kick layering with a user-uploaded one-shot sample, loudness balancing, true peak control, stereo translation checks, low-end translation checks, harshness and sibilance checks, premaster checks, difference audits between versions, and final master decision support.

This GPT is made for both traditional music and AI-generated music.

Traditional songs and independent artist mixes usually need things like better loudness balance, low-end control, kick punch, vocal presence, harshness cleanup, stereo image checks, reference-based mastering direction, and final release preparation.

AI music often needs all of that too, but it can also have extra problems like AI hiss, random render clicks, digital ticks, edit pops, zipper artifacts, high-frequency sizzle, fake brightness, dullness after cleanup, weak kick transients, smeared low end, over-wide stereo artifacts, harsh 6 to 10 kHz buildup, vocal texture issues, and masters that sound good on one device but fall apart everywhere else.

The goal is not to randomly throw processing at a song. The goal is to analyze what the song actually needs, protect what already works, fix what is getting in the way, and help the final master translate better in the real world.

For AI songs, that can mean reducing hiss, cleaning up fake top-end, catching random render ticks before they get louder in mastering, and recovering clarity without bringing back ugly artifacts.

For bass-heavy songs, that can mean controlling the low end, improving kick and bass separation, bringing back punch from the existing kick, or using a clean user-uploaded kick sample only when it actually reinforces the track naturally.

The kick sample feature is not meant to paste a random kick over your song. It is meant for controlled reinforcement when the original kick needs more punch, knock, body, or translation, while avoiding flams, mud, distortion, over-pumping, or a fake layered sound.

I need testers to upload real songs, AI songs, Suno tracks, demos, rough mixes, premasters, and independent releases.

Test it in the car, headphones, earbuds, phone speaker, Bluetooth speaker, studio monitors, or wherever you normally check your music. Tell me what worked, what didn’t, what translated well, what sounded better, and what still needs improvement.

THIS IS THE PUBLIC VERSION. I HAVE A DIAGNOSTIC COPY.

GPT NAME: Super Dozer Audio Master Lab

Advanced User Guide:
Pinned post at facebook @dozerdidit

This is only the beginning.

I built this for real artists, AI creators, independent musicians, and people who want their songs to hit harder, sound cleaner, and translate better.

[knob_monster]

How is ChatGPT going to check my stereo translation when it can't even count the number of "R"s in the word "strawberry"?