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Life & fun · October 19, 2026 · added by the maker

hum to search

Find a song from the melody you hum

hum to search launched on October 19, 2026.

Visit humtosearch.dev ↗hum to search alternatives

In plain words

Hum to Search is a browser-based music recognition tool that identifies songs from hummed, sung, or whistled melodies, as well as from audio recordings. Users can input their own voice or upload audio clips to receive song candidates with artist and title information. The tool requires no app installation and works directly in a web browser, making it accessible for anyone trying to identify a song they remember by sound alone.

written from the facts on this page · October 2026

From the sources

hum to search is a browser-based music recognition tool for people who remember a melody or have a short audio clip. Hum, whistle, sing, record or upload audio and get song candidates back, with no app install.

Find a song by humming, singing, whistling, or playing audio. Record or upload a clip and get song candidates with hum to search.

Hum, sing, or whistle the melody you remember. If you have the actual song playing or saved as a clip, switch to audio recognition. Get possible song candidates, then confirm the title and artist by listening. Use your own voice. Lyrics and the original key are optional. Hum the clearest part of the melody. You do not need lyrics. Choose Hum or sing for your own voice or whistle. Choose Play a recording for the original song playing nearby or an audio file. The two modes solve related problems, but they listen for different kinds of sound. One simple question decides where to begin: are you performing the tune yourself, or do you have the real recording? Choose this when you remember how…from humtosearch.dev

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    Hey HN! I just shipped a project I’ve been working on called Maroofy: https://maroofy.com You can search for any song, and it’ll use the song’s audio to find other similar-sounding music. Demo: https://twitter.com/subby_tech/status/1621293770779287554 How does it work? I’ve indexed ~120M+ songs from the iTunes catalog with a custom AI audio model that I built for understanding music. My model analyzes raw music audio as input and produces embedding vectors as output. I then store the embedding vectors for all songs into a vector database, and use semantic…

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