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What does this voice test measure?
This voice gender detector estimates perceived vocal character from fundamental frequency (F0), while the voice age detector combines pitch variation, harmonicity, and spectral centroid. Results are an entertaining acoustic estimate, not a statement of identity or actual age.
Record
Give a natural 3–5 second voice sample.
Analyze
Your browser measures pitch and tone locally.
Discover
See your voice gender test and voice age test result.
How does voice gender detection work?
A voice gender detector listens for acoustic patterns that people often associate with a masculine, feminine, or androgynous voice. The strongest signal is fundamental frequency, usually shortened to F0. F0 describes how quickly the vocal folds repeat their vibration and is heard as the basic pitch of a voice. In everyday speech, many lower-pitched adult voices fall roughly between 85 and 180 Hz, while many higher-pitched adult voices fall roughly between 165 and 255 Hz. Those ranges overlap, which matters: pitch is a spectrum, not a switch.
This tool divides your recording into short frames, finds repeating wave patterns with autocorrelation, and collects the most reliable pitch estimates. It then uses the median and a binned mode so that one cough, pause, or unusually high syllable does not control the answer. Below 160 Hz the result tends toward masculine; above 180 Hz it tends toward feminine; the overlap is reported as androgynous. The percentage expresses how far the sample sits from that overlap and how clear the detected pitch was. It is a measure of the recording, not certainty about a person.
What makes a voice sound older or younger?
Listeners do not estimate vocal age from pitch alone. They also respond to steadiness, brightness, breathiness, resonance, articulation, and the amount of variation from one moment to the next. This voice age detector therefore combines several broad signals. Pitch standard deviation describes how much the detected F0 moves during the sample. Harmonicity estimates whether the waveform contains a clear repeating structure or a noisier texture. Spectral centroid is a rough measure of brightness: more high-frequency energy generally produces a brighter reading.
The browser combines these measurements into four broad labels: teen, young adult, middle-aged, and mature adult. A stable, bright, strongly harmonic sample may lean younger, while a lower centroid, more irregular pitch, or a noisier harmonic pattern may lean older. These are tendencies, not rules. A trained singer, a tired speaker, a quiet microphone, illness, vocal fry, room echo, language, or speaking style can change every feature. That is why a voice age test can answer the playful question “how old do I sound?” but cannot determine a date of birth.
Is this voice test accurate?
The analysis is based on real acoustic features, but the result should be treated as an informed estimate for entertainment. Human voices vary enormously, and there is no universal frequency that proves gender or age. The familiar pitch ranges used by a voice gender test describe populations, not hard biological boundaries. Gender identity cannot be inferred from audio, and people of the same age can have very different vocal qualities. The result describes how this short sample matches a simple set of sound patterns.
Recording quality also affects accuracy. For the cleanest reading, use a quiet room, keep the microphone about a hand’s width away, speak naturally for at least three seconds, and avoid whispering, singing, or deliberately changing your pitch. Try a normal sentence rather than holding one vowel. If the first result feels unusual, repeat the test twice and compare the readings. Similar results across several samples are more meaningful than a single score. Do not use this tool for medical, clinical, legal, identity, employment, or safety decisions.
Why test your voice gender and age?
Most people hear their own voice partly through vibrations conducted inside the head, so a recording can sound surprisingly different from the voice they expect. A quick test offers another playful way to explore that gap. You might be curious about the impression your speaking voice creates, want a reference point before voice coaching, compare two microphone setups, or track how a character voice changes during acting practice. Streamers, podcasters, presenters, singers, and voice actors may also find the pitch and brightness measurements useful as a lightweight starting point.
The result card is designed to be shared as a conversation starter. Ask friends “how old do I sound?”, compare the estimate with their guesses, or save a result before practicing a different delivery. Keep the labels in perspective: no vocal style is better than another, and a score is not a judgment of attractiveness, authenticity, health, or identity. Your accent, emotion, energy, language, and environment all contribute to how a voice is perceived. The interesting part is variation, not passing or failing.
How is this different from other voice analyzers?
Many online audio tools upload a recording to a remote server before producing a result. This one is deliberately browser-only. After microphone permission is granted, the Web Audio API and MediaRecorder capture a short sample on your device. JavaScript decodes and analyzes it locally, displays the result, and then releases the microphone. The audio is not sent to our server, stored in an account, or attached to the copied result link. A shared link contains only the numeric result fields needed to recreate the result card.
That local design makes the experience fast and private: there is no registration, no upload queue, no external analysis service, and no model downloading your voice. It also means the tool depends on the quality of your device and browser. Current versions of Chrome, Edge, Safari, and Firefox generally support the required microphone features, although embedded browsers and restrictive privacy settings may block access. If recording fails, open the page in a full browser, allow microphone permission, and make sure another app is not exclusively using the microphone.
How to get a clearer result
Choose a quiet space and reduce background music, fans, traffic, and other voices. Hold the device steady, stay approximately 15–25 cm from the microphone, and use your comfortable speaking volume. A natural sentence with several vowels works better than a whisper or one sustained note because it gives the detector more pitch frames to compare. Speak for about five seconds; recording stops automatically, and a ten-second safety limit prevents the microphone from remaining active.
For a useful comparison, keep the conditions consistent. Use the same device, distance, room, and sentence for each attempt. Then change only one thing, such as speaking more softly, raising resonance, or using a different microphone. Remember that phones and laptops apply their own noise reduction and automatic gain control, so readings from two devices may differ. The tool intentionally reports broad categories instead of pretending to know an exact age. Think of it as a quick acoustic snapshot of one moment in one environment.