After hours on a song, your ears stop hearing the problems. Upload a bounce and this mix analyzer gives you the kind of notes an experienced engineer would write: whether the vocal sits on top or gets buried, whether the kick and bass fight for the low end, how wide and balanced the stereo image is, whether the track is over-compressed, and whether the reverb is creating depth or mud. You get an overall mix quality score from 0 to 100, separate ratings for balance, frequency balance, stereo imaging, dynamics and clarity, a list of the problems it found, and practical recommendations for your next revision. It is AI mix feedback you can run on every version, from the first rough mix to the pre-master bounce.
Example result
Input
A 3-minute WAV mixdown of an indie rock song with drums, bass, two guitars and lead vocal, bounced without mastering.
Output
Overall mix quality: 71/100. A solid rough mix that needs work in the low end and on the vocal. Balance: guitars are slightly louder than the lead vocal in the chorus, so lyrics get lost. Ride the vocal up or carve 2 to 4 kHz space in the guitars. Frequency balance: kick and bass overlap around 80 to 120 Hz and the low end feels thick. Pick one to own the lowest octave. Stereo imaging: good width from double-tracked guitars; center elements are focused. Dynamics: drums are punchy, but the vocal chain is heavily compressed and sounds flat. Reverb: the snare reverb tail washes into the verses. Shorten the decay. Clarity: vocals and guitars need more separation before mastering.
Scores
How it works
How Mix Quality Analyzer works
- 01
Bounce and upload
Export a stereo mixdown (WAV or a high-bitrate MP3), sign in and upload it. Pick the AI model you want to run the check.
- 02
Balance and frequency spread
The AI judges the level of each element against the others and how energy spreads across lows, mids and highs, listening for boomy bass, boxy low mids, harsh upper mids or dull top end.
- 03
Space, width and dynamics
It assesses stereo width and mono-center focus, how reverb and delay place things front to back, and whether compression has left the track punchy or flattened.
- 04
Issues and fixes
The report compares the mix with professional release standards, lists the specific issues it hears, and suggests changes in plain engineering terms, with scores for each area.
Use cases
Who it is for
Home studio producers
Working alone in an untreated room makes low end and vocal level hard to judge. Use the report as a sanity check before you send anything out.
Artists preparing for mastering
Run the final mix before booking a mastering engineer so you can fix balance and low end problems that mastering cannot solve.
Mixing students
Compare several versions of the same practice multitrack and see how each change affects the balance, clarity and dynamics scores.
Engineers giving client revisions
Get a fresh, neutral read on a mix after a long session, then decide which notes are worth acting on before the next client review.
Tips
Get better results
- Upload the unmastered mix with some headroom; a limiter on the master bus hides dynamics problems the AI could otherwise point out.
- Use WAV or a 320 kbps MP3. Low-bitrate files smear the high end and stereo detail.
- Also run a commercial reference track in the same genre, then compare the two reports side by side.
- Fix the biggest issue first, bounce again and re-run, instead of changing everything at once.
- Treat frequency ranges in the report as starting points and confirm them with your own EQ and ears.
Limitations
What it can't tell you
This is AI feedback on how a stereo file sounds, not a metering suite, so it does not replace a LUFS meter, spectrum analyzer or correlation meter. Scores and frequency suggestions are estimates, and taste varies by genre: a lo-fi mix may break rules on purpose. The AI cannot see your session, so it cannot tell you which plugin caused a problem, only what it hears in the result.
Frequently Asked Questions
Mix Quality Analyzer questions
What does a mix analyzer check?
This one reviews instrument balance, stereo imaging and width, frequency balance across lows, mids and highs, dynamic range and compression, reverb and spatial effects, and the clarity and separation of elements. It then lists the specific problems it heard, compares the mix with professional standards, and suggests what to change.
Can AI give useful mixing feedback?
It is good at catching the common problems that tired ears miss, such as a buried vocal, a muddy low end or over-compression, and it explains them in plain terms. It does not replace a trusted engineer's judgment or your artistic intent, so use the notes as a checklist and decide which ones serve the song.
Should I upload my mix before or after mastering?
Before, in most cases. Mastering limiters raise loudness and squash dynamics, which hides the issues a mix checker is meant to find. Upload the bounce you would send to a mastering engineer. To evaluate a finished master, the audio mastering check tool is the better choice.
How is the 0 to 100 mix score calculated?
The AI model rates the overall mix and each area (balance, frequency balance, stereo imaging, dynamics, clarity) on a 0 to 100 scale based on what it hears compared with professionally mixed releases. It is an estimate from the audio, so use the scores to compare your own versions over time rather than as an absolute grade.
Does it give genre-specific feedback?
It takes the style of the track into account when it judges things like low end weight, vocal level and reverb, since a trap beat and an acoustic folk song have different targets. Mention the genre in the file name or compare against a reference in the same genre for the clearest guidance.
Do I need a subscription?
Yes. AI mix feedback runs on paid plans with monthly credits, and each analysis uses some of them. There is no trial tier for AI tools; see the pricing page for the current options.
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Mix Quality Analyzer uses credits from a paid LindaleAI plan. See pricing