Baby cry translator. Record your baby and AI estimates whether the cry signals hunger, tiredness, discomfort, or pain.
Select the AI model for audio analysis. Different models may have different capabilities.
Record audio directly from your microphone
To figure out why your baby is crying, record the cry and the AI estimates the most likely cause (hunger, tiredness, discomfort, gas, overstimulation, pain, or attention-seeking) with a confidence level, based on the cry's observable pattern: rhythm, pitch, intensity, and breath pauses. It rates approximate intensity from mild fuss to acute distress, suggests a first response for a parent to try, and, importantly, flags any signs that warrant a call to a pediatrician rather than waiting it out. The idea has real grounding: different cry types do tend to carry different acoustic signatures (the rhythmic repetitive hunger cry versus the sudden high-pitched pain cry), which is the pattern experienced parents and nurses learn to read. The tool makes that pattern reading available at 3am when you have tried everything once. It is explicitly informational, flags its own uncertainty, and never replaces medical advice.
Record your baby crying (even 15 to 30 seconds helps) and upload it. The AI analyzes the acoustic pattern of the cry: rhythm (repetitive and rhythmic versus irregular bursts), pitch (sustained high pitch is weighted differently from low grumbly fussing), intensity and how it escalates, and breath pauses between cry waves. Pattern matching compares these features against typical cry profiles for hunger, tiredness, discomfort, gas, overstimulation, pain, and attention-seeking, returning the most likely cause with an explicit confidence level rather than false certainty. Intensity rating places the cry on a spectrum from mild fuss to acute distress. The response suggestion gives a sensible first thing to try based on the leading hypothesis. The escalation check looks for features parents should not ignore (sudden onset high-pitched crying, unusual weakness) and says plainly when a pediatrician call is the right move.
Record 15 to 30 seconds of the cry and the AI estimates the most likely cause (hunger, tiredness, discomfort, gas, overstimulation, pain, or attention-seeking) with a stated confidence, based on rhythm, pitch, intensity, and breath pauses. You also get a sensible first response to try. It is guidance for a tired parent, not a verdict.
Partially. Cry types do carry different acoustic patterns (a hungry cry often settles into a steady repeating wave, while pain tends to arrive abruptly at high pitch), which is what nurses and experienced parents learn to hear. The AI reads those same patterns, but babies are individuals, and context the recording cannot capture matters just as much.
Honest answer: it is an educated estimate, not a measurement. Pattern matching narrows the likely causes and the confidence level tells you how strong the signal is, but no tool hears the difference between gas and overstimulation reliably in every baby. Use it to pick what to try first, then trust what actually settles your child.
No. It is interpretive guidance only, and the analysis says so explicitly. It flags patterns that deserve a pediatrician call (sudden high-pitched crying, unusual weakness or lethargy), but persistent or inconsolable crying, fever, or anything that worries you should go straight to your pediatrician regardless of what any tool suggests.
Call your pediatrician for crying that lasts hours despite feeding, changing, and soothing, a cry that sounds suddenly different from normal, fever, vomiting, or a baby who seems weak or hard to wake. The analysis checks for some audible red flags, but a parent's instinct plus a doctor beats any recording analysis.
Get the mic within a meter or so of your baby and capture at least 15 seconds of active crying, including the pauses between cry waves, since breath patterning carries signal. Less background noise helps. A clip from the start of a crying episode reads more cleanly than one mid-meltdown.
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