Log a hearing moment as it happens, with audio and tags, to your audiologist.
A quick-gesture hearing logger. Opening the app starts recording, a simple wizard captures what the user is experiencing (positive or negative, tags, a note), and Save bundles the audio and log into one entry delivered to the audiologist. Non-medical: HearLab observes and surfaces, the clinical decisions stay with the professional. The accumulated audio and tag pairs become the training data for future hearing-device tuning.
A double-press opens the app and starts recording. A short wizard tags the moment (positive or negative, plus notes). Save stops the recording and packages it as one log entry, routed to your audiologist.
A non-medical companion. Designed alongside audiological care, never replacing it.
How this is measuredWind and traffic are where hearing aids struggle most: the automatic scene classifier keeps changing its mind, so the device keeps re-balancing. That “program hunting” makes a drive or a windy street exhausting.
This runs a real, transparent classifier on your mic or a synthesised scene, and puts a naïve switch-on-every-frame version next to our hysteresis-smoothed one. Same recognition; far fewer switches.
Non-medical. Your audio never leaves the browser, and for the mic we deliberately turn off the browser’s own noise suppression, so the classifier hears what you hear.
The companion app captures patient-side hearing experience. The dashboard layer turns it into audiologist-ready context: daily-rating trend, hard-session flags, context-specific patterns, patient notes.
Concept preview with mock data. The production version will be HIPAA / GDPR-compliant and roll out via design-partner hearing centres first.
A double-press opens the app and immediately starts recording. A short wizard asks what your hearing is experiencing (positive or negative), with tags and a short note. Save stops the recording and packages the audio and log into one entry.
Every captured moment arrives on the audiologist’s dashboard as audio, tags, and your explanation. The consult starts from what actually happened, not what you managed to remember.
The accumulated audio and tag pairs become the basis for audio tagging and recognition, feeding future, specific adjustments to hearing devices or the software that drives them.
HearLab closes the gap between what the user experienced and what the audiologist sees: the actual sound and the user’s in-context reaction, together in one bundle. Explicitly non-medical: HearLab observes and surfaces patterns, the audiologist makes the clinical calls.
Also in HearLab
Double-press opens the app and immediately starts recording, so the moment you wanted to log is not already gone.
Positive or negative, contextual tags, and a short explanation, in seconds, without a journal entry.
Every capture arrives as audio plus tags plus notes, laid out so the professional can see the pattern.
Is HearLab a medical device?
No. HearLab is a non-medical companion app. It does not diagnose, treat, or fit hearing aids. It captures your in-the-moment hearing experience (audio and your own tags) so your audiologist has real context to work from.
Does the recording start automatically?
Yes, that is the point. A quick gesture (double-press) opens the app and starts recording immediately, so the moment you wanted to log is not already gone by the time you tap Record. Save stops the recording and packages it with your tags.
Where does the recording go?
Into the log entry that gets delivered to your audiologist alongside your tags and note. The audio and your explanation stay together, so they see what you heard and what you thought about it, in one place.
Continue the workflow
MixLab’s LUFS metering helps you hit the loudness consistency that benefits assisted-listening setups.
Before publishing voice content, run it through VoiceLab to check the dimensions that matter for hearing-aid users.
SignalLab’s region indexer surfaces the segments that need caption coverage in long-form recordings.
CueLab routing maps make the hearing-aid output bus an explicit destination in your show plan.
SkillLab challenges train listeners on intelligibility under noise, which is the dimension that matters most clinically.
MixLab, VoiceLab, and SignalLab hand audio off to one another without re-uploading. When you finish an analysis in one of those, the → Lab buttons in the demo chrome carry your decoded audio directly into the next lab’s analysis flow. The other labs open fresh.