Find out if your vocals are cutting through the mix. This tool analyzes vocal clarity, diction, pronunciation, and frequency masking to give you a detailed intelligibility score. It identifies specific moments where vocals are buried or unclear, and suggests mix adjustments to improve audibility. Essential for vocalists, mix engineers, and podcast producers.
The intelligibility score reflects how clearly and consistently the lead vocal can be understood throughout the track, factoring in enunciation, frequency masking by other elements, reverb tail interference, and dynamic level relative to the mix. Scores above 80 indicate highly intelligible vocals. Scores between 60 and 80 suggest moderate clarity issues that may be worth addressing. Below 60 indicates significant masking or diction problems.
The most frequent culprits are midrange frequency masking from guitars, keys, or synths that compete in the 1–5 kHz presence range where vocal consonants live; excessive reverb that blurs the attack of words; over-compression that reduces the dynamic contrast between syllables; and a vocal level that is too low relative to the mix. The analysis identifies which factors are most responsible in your specific track.
Yes. The Vocal Clarity Analyzer works on any audio that contains human speech or singing. Podcast episodes, audiobook recordings, voiceover performances, and radio ads all benefit from intelligibility analysis. The scoring and recommendations are applicable regardless of the content type, since the underlying acoustic principles of vocal clarity are the same.
Boosting the presence range (2–5 kHz) on the vocal adds definition and clarity to consonants. A high-pass filter on competing instruments at 300–500 Hz reduces low-mid buildup that masks vocal fundamentals. Reducing the 300–600 Hz range on guitars and keys creates space for the vocal to sit without clashing. The analysis report includes frequency-specific suggestions based on the issues detected in your mix.