AI Audio Classifier
Identify and classify sounds using AI that runs 100% in your browser. Upload an audio file or record via your microphone to detect speech, music, dog barking, car horns, and 500+ sound types. Your audio files never leave your browser — completely private.
Drop an audio file here or click to upload
Supports WAV, MP3, OGG, WebM, FLAC — max 25MB
Click to start recording from your microphone
Classification Results
Top 5 Classifications
How AI Audio Classification Works in Your Browser
This tool uses the Audio Spectrogram Transformer (AST) model, fine-tuned on the AudioSet dataset containing over 500 sound categories. Running directly in your browser via Transformers.js, it converts your audio into a mel spectrogram (a visual representation of frequencies over time) and then classifies what type of sound it is. The entire process happens locally — your audio files are never uploaded to any server.
The AudioSet dataset includes categories ranging from everyday sounds (dog barking, car horn, doorbell) to musical instruments, human activities, nature sounds, and environmental noise. The model can identify subtle differences between similar sounds, such as distinguishing between a piano and a guitar, or between rain and a waterfall.
Types of Sounds Detected
- Human sounds — Speech, singing, laughter, coughing, clapping, whistling
- Animal sounds — Dog barking, cat meowing, bird chirping, rooster crowing
- Music — Piano, guitar, drums, violin, electronic music, and many more instruments
- Environmental — Rain, thunder, wind, ocean waves, fire crackling
- Vehicles — Car horn, engine, siren, train, airplane
- Household — Doorbell, alarm clock, keyboard typing, microwave, vacuum cleaner
Use Cases for Audio Classification
Sound Identification and Education
Ever wondered "What sound is this?" Just upload or record the audio and the AI will tell you. This is perfect for identifying bird songs, unusual noises around your house, or sounds in field recordings. Students studying acoustics, audio engineering, or machine learning can explore how AI perceives different types of sounds.
Content Creation and Production
Audio engineers, podcasters, and video creators can use this tool to quickly catalog and tag sound effects, music samples, or field recordings. Identify the dominant sound in an audio clip for metadata tagging, library organization, or content moderation purposes.
Accessibility and Assistive Technology
People who are deaf or hard of hearing can use audio classification to understand environmental sounds around them. The tool can identify doorbells, alarms, phone rings, and other important auditory signals, displaying the results visually on screen.
Complete Privacy for Your Audio
Unlike cloud-based audio analysis services that upload your recordings to remote servers, this tool processes everything locally. The AST model is downloaded once (approximately 130MB) and cached in your browser for offline use. No audio data is ever transmitted, making it safe for private conversations, proprietary recordings, or any audio you want to keep confidential.