Guitar skill assessor. Upload a recording and AI evaluates technique, timing, tone, and musicality.
Select the AI model for audio analysis. Different models may have different capabilities.
Record audio directly from your microphone
To find out how good your guitar playing is, upload a recording and the AI assesses it like an experienced teacher: an overall skill level (beginner, intermediate, advanced, or pro), a technique breakdown covering picking accuracy, fretting hand cleanliness, bends, vibrato, hammer-ons, and sweeping, your timing and pocket relative to the rhythm, and a tone and gear-sense evaluation that asks whether the tone is serving the part. Crucially, it also assesses musicality and phrasing beyond pure technique, because plenty of technically fast players sound mechanical, and plenty of simple players sound great. The assessment ends with two concrete things to practice this week, which is the part most self-taught players are missing: not more exercises, but the right next exercise. The feedback is honest and specific by design, closer to a strict teacher than a supportive friend, because that is what actually moves playing forward.
Upload a recording of your playing (riffs, solos, rhythm parts, or a full piece) and the AI evaluates it across the dimensions a good teacher tracks. Skill placement locates you on the beginner-to-pro spectrum based on the total evidence. Technique analysis listens for picking accuracy, fretting cleanliness (buzz, muted notes, sloppy transitions), bend intonation, vibrato control, hammer-on and pull-off clarity, and sweep economy where present. Timing analysis measures your pocket against the underlying rhythm, since rushing fills and dragging changes are the most common invisible weaknesses. Tone assessment evaluates whether your sound choices fit the musical part rather than judging gear price. Musicality analysis covers phrasing, note choice, dynamics, and space, the things that make playing sound like music. The two practice prescriptions target your weakest links specifically, scoped to a week of focused work.
Upload a recording and the AI places you on the beginner-to-pro spectrum with the evidence laid out: picking accuracy, fretting cleanliness, bends and vibrato, timing against the rhythm, whether your tone serves the part, and the musicality of your phrasing. It closes with two specific things to practice this week.
That is precisely what the technique listen targets: fret buzz, accidentally muted strings, smeared transitions, bends that land short of pitch, and vibrato that wobbles instead of sings. These artifacts are audible fingerprints of mechanical issues, and the report connects each one to the underlying habit worth fixing.
It judges tone in context: whether the sound serves the part, not whether your gear is expensive. A scooped metal tone under a blues phrase or drowning reverb on rhythm work gets flagged as a musical decision to revisit. Plenty of tone problems are really EQ and gain-staging choices, which cost nothing to fix.
Arguably most useful for them, since self-taught players typically have uneven skills: advanced in the techniques their favorite songs demanded, missing fundamentals nothing forced them to learn. The assessment maps that unevenness honestly, which is the thing a structured teacher would provide and YouTube cannot.
It assesses what it hears, with two honest caveats. A poor recording can hide detail or exaggerate noise, so a clean clip matters. And it cannot see your hands, so anything purely physical (posture, wrist angle, fingering choices) is inferred from sound. Within those limits, the audible evidence of skill is exactly what it evaluates.
Two or three minutes covering different demands: a rhythm part, something melodic, and the hardest thing you can play cleanly. One riff shows one skill; variety lets the assessment find the real edges of your ability. Play with a metronome or backing track for at least part of it, because timing cannot be judged without a steady pulse to measure against.
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