Built a tool for final checks before sending tracks out, would love feedback

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Hi everyone,

I’ve been working on something for a while and wanted to share it here to get some honest feedback from people who are actually deep into production.

I’m a sound engineer and producer (background in club-focused electronic music), and this came out of a problem I kept running into at the final stage.

It’s a desktop app called MVP Final Check (macOS & Windows). The idea is simple: you drag and drop a premaster or master and it gives you a clear PASS / CAUTION / FAIL verdict, along with a few reasons and fix first suggestions.

I built it because I kept running into and seeing that final stage problem, where everything feels done, but you’re not 100% sure if it’s actually ready to send to labels or play out. This is meant to act as a final technical check, not a creative one.

It’s built around established loudness standards (LUFS, LRA, true peak), with a few additional checks under the hood, but the focus is really on giving a clear decision point rather than more numbers to interpret.

If anyone here is interested in trying it and giving feedback, feel free to email me at support@finalcheckaudio.com (mailto:support@finalcheckaudio.com) and I’ll send over a trial (3 checks).

Would genuinely appreciate any thoughts, whether positive or critical.

Website: https://finalcheckaudio.com (https://finalcheckaudio.com)

Thanks
Shane

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Shane92 wrote: Mon Apr 06, 2026 9:04 am with a few additional checks under the hood
Like Zwicker's loudness model? ERB? I expect a little more for that price, to be honest. But the website looks good and loads fast.

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Appreciate that and yeah, fair point.

It’s not aiming to compete with full analysis tools or psychoacoustic modelling like Zwicker/ERB.

The focus is more on decision support at the end of a workflow, rather than deep analysis, giving a clear, structured “am I ready to send this out?” moment, with just enough technical grounding to guide that decision.

Most producers already have meters and tools, the gap I kept seeing was knowing when to stop and commit.

That’s really what this I was trying to solve.

Still early as well, so I’m definitely open to expanding what sits under the hood over time.

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Interesting point on analysis depth it’s something I thought about a lot while building this.

I actually moved away from adding more and more metrics, because most producers I worked with already had analysers, they just weren’t sure what to do with that information at the final stage.

This is more about creating a clear decision point, rather than another layer of measurement.

Curious how others here approach that final “send / don’t send” moment?

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