BetterMix
AI Mix Analysis for Music Producers
BetterMix launched on July 18, 2026 with 10 votes, #1,657 of 24,623 launches that month and more than 90% of that year's launches.
What it does
BetterMix is a web-based AI mix analysis tool that evaluates loudness (LUFS), true peak, stereo width, frequency balance, and provides actionable feedback to improve your music production.
Instant AI mix analysis for music producers. Check LUFS, true peak, stereo width, and frequency balance to get step-by-step, plain-English mixing fixes.
Upload your track and get a clear, genre-specific analysis of what's working, what's not, and what to fix before release. A detailed breakdown of your mix, with clear feedback on what's working and where it needs attention. Upload directly from your DAW. No installation required. Analysis begins instantly. Drop in a WAV or MP3 straight from your DAW. No install, no setup — analysis starts immediately. We check LUFS, true peak, and stereo balance against genre references built for DnB, UKG, and techno. In under a minute, get a straightforward report on exactly what to fix — not just numbers. BetterMix looks at the parts of your mix that are easy to overlook when you've been listening to the…from bettermix.co
Does a similar job
all alternatives →- IFImproved freemusicdemixer – AI music demixing in the browser2023 · freemusicdemixer.com · ▲160
Hi HN, Last time I showed free-music-demixer, which people seemed to enjoy. It was a static website with a Javascript + WASM module to perform music demixing (or music source separation) using an AI model UMX-L (Open-Unmix) running client-side in the browser. Since then, I have overhauled the project and made several improvements: - The demixing/separation quality is higher now, since I implemented the missing post-processing step - Memory usage is lower now by performing a custom segmented inference with a streaming LSTM, which should allow larger tracks (or, dare I say,…

- FAFree AI-based music demixing in the browser2023 · sevag.xyz · ▲190
Hi all, I've spent some time working on music demixing or music source separation algorithms, which take in a mixed song and output estimates of isolated components (e.g. vocals, drums, bass, other). I took a popular PyTorch model with good performance (Open-Unmix, UMX-L weights), reimplemented the inference steps in C++, and compiled it to WebAssembly for a free client-side music demixer.


- WBWe built a voice to music AI app in 54 hours at a hackathon2012 · blog.beatmaticapp.com · ▲130
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