Best currently working options

These are the fastest first moves when you specifically want to find a song by humming. The homepage prioritizes routes that reduce friction instead of making you scan a long directory first.

Working Last tested Mar 9, 2026

Google Hum to Search

Google is still the lowest-friction first move for most users because the entry point is familiar and the humming flow is fast.

Best for Phone-first humming when you already have the Google app or Assistant nearby.
Supports humming Yes
Android iOS Assistant
Open tool
Working Last tested Mar 9, 2026

Midomi

Midomi is still the cleanest direct browser option for desktop humming, especially when the chorus is clear and you do not want to install anything first.

Best for Desktop web humming when you want a direct browser tool without installing an app.
Supports humming Yes
Desktop web Mobile web
Open tool
Working Last tested Mar 9, 2026

SoundHound

SoundHound is the safest fallback when you want app-based humming and ambient recognition in the same place.

Best for Mobile fallback when you want one app that can switch between humming and direct audio search.
Supports humming Yes
iOS Android
Open tool
Partial Last tested Mar 9, 2026

AHA Music

AHA is a useful browser fallback, but it should stay behind Google, Midomi, or SoundHound unless the tab or clip is already in your browser.

Best for Browser-heavy users who already have a clip, tab audio, or want a secondary humming fallback.
Supports humming Yes
Desktop web Chrome extension Edge extension
Open tool

How we test the routes

This homepage is not a generic directory. It keeps only routes that solve a real starting clue quickly.

Real clue first

Every route starts from the clue you actually have: melody, lyrics, live audio, or a messy clip.

Fastest path wins

Tools are ranked by time-to-answer and setup friction, not by how impressive the feature list sounds.

Failure notes stay visible

If a route is weak on desktop, noisy audio, or pure humming, that caveat stays on the page.

Why humming search fails

Most misses come from input quality and wrong route selection, not from a lack of options.

You hummed the wrong section

Verses are harder to match. A memorable chorus usually gives the model more to work with.

The clip is too noisy

Dialogue, crowd noise, or bad phone audio can hide the melodic shape that recognition tools need.

You used the wrong route

A live song should start with Shazam, not humming. A messy reel should start with a cleaned clip, not a lyric guess.

You stopped after one candidate

The first match is not always the right version. Compare the artist, chorus, and edit before you save it.

Fast answers before you leave the page

These are the four questions that usually decide which route to try first.

Can I hum a song to Google to find it?

Yes. Open the Google app, tap the mic, and use Search a song. Hum the clearest part of the chorus for about 10 to 15 seconds, then compare the top matches before you trust the result.

What works best on desktop?

Midomi is still the best direct desktop-web humming option. If the source is a clip or tab audio instead of pure humming, switch to the video or browser route instead of forcing a melody search.

Why does humming search return the wrong song?

Most wrong matches come from humming a weak section, using a noisy input, or trusting the first title without checking the artist and version.

What if the song is inside a video?

Do not start with a normal humming search. Trim the cleanest 5 to 15 second segment first, then use a clip-first workflow or a community fallback if the automatic matcher misses.

Coming soon

Desktop hum search beta

A melody-matching engine is not shipping on this page yet. A browser beta only makes sense after the routing flow proves there is enough unmet desktop demand.

For now, desktop users should start with Midomi and use the video or lyric routes as backups when the melody path is weak.

More tools and guides after the first answer

Once you have tried the fastest route, use the deeper directory and blog only when you need backups, platform-specific options, or edge-case workflows.

Top Online Hum to Search & Voice Music Recognition Tools

View All

Discover the most effective online hum to search platforms and voice music recognition tools that let you identify songs by humming, singing, or whistling directly in your browser without app installation.

Midomi
BROWSER

Midomi Hum or Sing to Search for Songs

Midomi is one of the classic web-based song finder tools that lets users hum, sing, or whistle directly into a browser microphone to identify tracks. It works best when you can reproduce the chorus with steady pitch for 8 to 15 seconds. Use Midomi when you want fast, no-install melody matching on desktop or mobile web.

Google Hum to Search
BROWSER

Google Hum to Search Hum or Sing to Search for Songs

Google Hum to Search uses machine learning to match your hummed melody against large music catalogs in seconds. It is especially useful when you cannot remember the artist name or exact lyrics. This tool is ideal for quick “what is this song” moments and often returns multiple likely matches you can verify immediately.

AHA Music
BROWSER

AHA Music Browser Extension to Identify Music

AHA Music focuses on browser-based song recognition and is convenient for identifying music heard in online videos, streams, and web pages. The Chrome extension workflow is straightforward and requires minimal setup. Choose AHA Music when your main use case is detecting songs playing in your current tab rather than humming into a phone app.

ACRCloud
BROWSER

ACRCloud Browser Extension to Identify Music

ACRCloud provides enterprise-grade audio fingerprinting and music recognition APIs that power many consumer applications behind the scenes. It supports robust matching in noisy environments and offers metadata enrichment for identified tracks. Use ACRCloud when you need scalable recognition infrastructure or want to integrate hum and audio identification features into your own product.

WatZatSong
BROWSER

WatZatSong Community-Powered Song Identification

WatZatSong is a community-powered song identification platform where users upload clips, hum recordings, or partial audio and get help from other music fans. It works well when algorithmic tools fail, especially for rare tracks, remixes, or low-quality recordings. Use it as a fallback channel for difficult cases where human pattern recognition can outperform automated matching.

Google's Powerful Hum to Search & Song Identification Features

View All

Explore Google's hum to search ecosystem, including Google Hum, Google Assistant song queries, and app-based identification paths for fast, AI-assisted music discovery.

Google Hum to Search Guide
GOOGLE

Google Hum to Search Guide How to Use Google's Hum to Search Feature

This official Google guide explains how Hum to Search works and why melody contours can be matched even without perfect vocals. It is the best starting point for understanding feature behavior, expected confidence levels, and result interpretation. Read this first if you want to use Google’s humming recognition more effectively and set realistic expectations.

Google Assistant Song Search
GOOGLE

Google Assistant "What's this song?" Command

Google Assistant can identify songs by voice command, making hands-free music discovery simple on phones and smart devices. In practice, users can ask what song is playing and then compare candidate matches instantly. Use this option when audio is playing in your environment and you want the fastest voice-first identification flow.

Google App Song Search
GOOGLE

Google App Song Search Google Search Widget for Song Identification

The Google app provides a direct path to song identification through built-in search and microphone entry points, including convenient widget access on many Android devices. It is useful for users who want one-tap music recognition without opening multiple apps. Prefer this route for everyday, mobile-first song discovery with low friction.

Best Music Recognition Apps for Instant Song Identification

View All

Review top music recognition apps for mobile-first identification, including mainstream global tools and region-specific options for faster matching.

Shazam
APP

Shazam The Leading Music Discovery App

Shazam is one of the most widely used music recognition apps, optimized for instant identification from ambient audio. It typically delivers fast matches with artist, track title, and playback options, making it a reliable first stop for unknown songs. Choose Shazam when you need quick recognition in everyday situations like shops, cafes, radio, or short social clips.

QQ Music Song ID
APP

QQ Music Song ID The Leading Music Discovery App

QQ Music’s built-in song identification feature is popular among Chinese-speaking users and performs well for regional catalogs and mainstream releases. It combines recognition with immediate in-app playback and recommendation flows. Use QQ Music Song ID when your audience or personal listening habits focus on Chinese and East Asian music ecosystems.

SoundHound
APP

SoundHound Identify Songs with Your Voice or Sound

SoundHound stands out by supporting both direct audio recognition and humming-based search in a single app experience. This dual-input flexibility makes it practical when you are unsure whether to use melody or environmental sound. Use SoundHound when you want one mobile tool for voice, humming, and lyric-assisted identification workflows.

NetEase Cloud Music Song ID
APP

NetEase Cloud Music Song ID Identify Songs with Your Voice or Sound

NetEase Cloud Music offers integrated song identification tied to its recommendation engine and large streaming catalog. It is especially useful for users already in the NetEase ecosystem, where discovery and playback happen in one place. Use this option when you want seamless handoff from recognition to playlisting, comments, and personalized music suggestions.

Musixmatch App
APP

Musixmatch Music Identifier with Lyrics

The Musixmatch app is strong for users who value lyrics-first identification, synchronized captions, and multilingual support across devices. It helps bridge song recognition and lyric comprehension, especially when discovering music in unfamiliar languages. Choose Musixmatch when identifying the song is only part of your goal and lyric accessibility is equally important.

Beatfind
APP

Beatfind ACRCloud-Powered Multi-Language Song Identification

Beatfind is an Android music recognition app powered by ACRCloud technology, designed for fast song matching across multiple languages. It listens to surrounding audio and returns likely track candidates in seconds, making it practical in cafes, stores, and short-video scenarios. Use Beatfind when you want lightweight, on-device song ID with broad music catalog coverage.

Song Finder
APP

Song Finder Fast Song ID with Instant Video and Streaming Jump

Song Finder focuses on quick song detection and smooth handoff to video or streaming platforms once a match is found. This makes it useful for users who not only want the song title but also want to start playback immediately. Use Song Finder when speed and one-tap continuation into listening apps are your priority.

Music Recognition - Find Songs
APP

Music Recognition - Find Songs Identify Songs Playing Around You in Real Time

Music Recognition - Find Songs is a general-purpose Android tool for identifying music playing around you in real time. It is designed for everyday environments where tracks are heard from speakers, TV, or public spaces. Use this app when you need straightforward ambient audio recognition without a complex setup process.

Deezer SongCatcher
APP

Deezer SongCatcher Hum, Whistle, or Sing to Identify Songs

Deezer SongCatcher supports humming, whistling, and singing-based song identification, backed by Deezer's multilingual catalog. It is especially helpful when you cannot play the original recording but can reproduce part of the melody yourself. Use SongCatcher for mixed-input discovery flows where voice-based recall is stronger than lyric memory.

Spotify
APP

Spotify Voice Search with Direct Match to a Global Music Catalog

Spotify's voice search and in-app matching flow can quickly connect recognized songs to tracks in its global catalog, including multilingual music. Once identified, users can continue listening immediately without switching platforms. Use Spotify when your goal is both fast recognition and instant playback inside one ecosystem.

Latest Guides from the Blog

Have any questions?

If you're still stuck, check our resources or read our latest blog posts for more identification workflows.