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hum to search — Find song candidates from a melody you hum or audio you record.

About hum to search

hum to search is a browser-based music recognition tool for people who remember a sound but not the title. You can hum a melody, sing, whistle, record music playing nearby, or upload a short audio clip, and the site returns song candidates to check by ear. The short sample is sent to ACRCloud and searched in either Humming mode or Music mode, then the result is shown as a possible match, an explicit no-clear-match, or a failed search you can retry. The first valid recognition attempt is a one-time trial; after that, searches use one-time credits with no subscription and no automatic renewal, and a credit is returned when a search ends with a technical error. The site states that it does not store your audio recordings.

Who it is for
People who remember a melody or have a short audio clip but not the song title, including hummers, singers, whistlers and anyone recording music nearby.
Problem it solves
A song is stuck in your head or playing nearby, but you cannot name it, and searching by title is impossible when all you have is the sound.
The solution
It takes a short sample you hum, sing, whistle, record or upload, runs it through ACRCloud in Humming or Music mode, and returns song candidates you confirm by ear, with a clear no-match or failed-search state instead of a dead end.
What makes it unique
It works from the sound alone, including humming and whistling, shows the outcome as a possible match or an explicit no-clear-match, returns the credit automatically when a search fails technically, and states that audio recordings are not stored.

Features

  • Search by humming, singing, whistling or recording

    Give the search the sample you actually have instead of typing a title you do not know.

  • Upload a short audio clip when you already have one

    Identify audio from a recording you captured, as well as from a live sample.

  • See a possible match, a no-clear-match, or a failed search

    Each outcome is shown explicitly, so you know whether to confirm by ear or try another sample.

  • Use one-time credits with no subscription

    The first valid attempt is a one-time trial, and later searches use credits that never renew automatically.

  • Get the credit back when a search fails technically

    If a search ends with a technical error, the credit for that attempt is returned.

Details

Platforms
  • Web
Pricing
  • Freemium
Built for

People who remember a melody or have a short audio clip but not the song title, including hummers, singers, whistlers and anyone recording music nearby.

Building since

2026

Technology

Homepage of humtosearch.dev

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Website performance

Recorded mobile lab measurements and finalized weekly standings from IndieTools Speed.

hum to search website speed overview

91
Performance scoreGood

In IndieTools' mobile lab test on November 12, 2026, the hum to search website scored 91 out of 100 (good). Largest Contentful Paint took 1.05 s, rated good. It placed #830 overall in the finalized week 2026-W45.

Measured (UTC)

LCPLargest Contentful Paint
1.05 s
Good
TBTTotal Blocking Time
359 ms
Needs improvement
CLSCumulative Layout Shift
0.000
Good
FCPFirst Contentful Paint
1.05 s
Good

Ranked #830 overall in 2026-W45, best #244.

Stored lab observations from controlled test runs, not real-user Core Web Vitals or a guarantee of search rankings. Weekly standings remain attached to their finalized edition.Method psi-mobile-two-sample-mean-v1, 2 samples per reading. Lab results can vary between runs.

DR4 (primary model)
46

No change since 10 Nov

DR3
41

No change since 10 Nov

Model difference+5. DR4 is 5 points higher than DR3.

Measured · humtosearch.dev

What do DR4, DR3 and the model difference mean?
DR4:
Ahrefs' newer model. It gives more weight to links from sites with organic search traffic and rates a subdomain on its own links.
DR3:
The previous model, shown in the Ahrefs app until 1 December 2026.
Model difference:
DR4 minus DR3 for the same domain. The models calculate differently, so this is not growth or a drop; the “since” lines compare each model with itself.

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