# Hum to Search

- **Website:** <https://humtosearch.app>
- **Primary alias:** `humtosearch.app`
- **Verified:** yes

## Description

Hum to Search is a browser-based AI music recognition app that identifies songs from humming, singing, or ambient audio — no app download or account required. Users click a microphone button, hum a melody for five to ten seconds, and the platform's AI engine matches the tune against its song database, returning the artist, album, release date, and direct links to Spotify, Apple Music, and YouTube. The tool also supports passive listening — identifying music playing in cafes, shops, or on TV — with noise-filtering technology to isolate music from background sound. Available in 17 languages and accessible on any device via browser, Hum to Search operates on a credit-based pricing model, positioning itself as a dedicated, registration-free alternative to Shazam and SoundHound.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Computers Electronics and Technology _(under Computers Electronics and Technology)_

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Purple Heart | #7E22CE | accent |
| Ebony | #111827 | brand |
| White | #FFFFFF | brand |

## Fonts

- Inter — asset _(google)_
- Inter — asset _(google)_

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_Source: <https://brandfetch.com/humtosearch.app>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._