Song Stuck in Your Head but Can't Remember the Name? Here's How

Hum the melody into Google Sound Search or SoundHound first. If nothing comes back, search a lyric fragment on Genius or Lyrics.com, then narrow by decade and genre and try Midomi or AHA Music. Stacking three or more of these methods is what actually gets a stuck song identified, usually within ten minutes.

One method rarely closes the case on its own. Hum-to-search tools such as Midomi and SoundHound land somewhere around 60-70% accuracy on well-known material, which sounds decent until you are stuck in the wrong 30% and have nothing left to try. Google's Sound Search has accepted hummed input since 2020, though it rewards a clean, committed melody over the half-mumbled version most people produce into a phone at their desk.

Recorded-audio tools are a different category and people mix them up constantly. Shazam and AHA Music need a playing recording. They will not help you at all with humming, no matter how accurately you sing it. The mistake is opening Shazam first, getting nothing, and concluding the song is unfindable.

Lyric fragments are the strongest fallback, because Genius indexes more than 10 million songs and lets you search a partial line. Then filter hard: decade and genre together can eliminate up to 90% of candidates before you listen to anything. When a fragment is too generic, take it to Reddit's r/tipofmytongue, where over 100,000 identification requests have already been solved.

• Hum first: Midomi and SoundHound identify roughly 60-70% of well-known songs from a hummed melody, so start there before anything else.
• Shazam can't help: Shazam and AHA Music match recorded audio only and will fail on humming, which is why they should not be your first attempt.
• Fragment search works: Genius indexes over 10 million songs and accepts partial lyric searches, making it the best second step when melody matching fails.
• Filter by era: Combining decade and genre filters cuts the candidate pool by up to 90%, turning an unlistenable list into a short one.
• Ask the crowd: r/tipofmytongue has resolved more than 100,000 song identification requests, useful when your fragment is too generic for a database.

Can you really find a song by humming?

Yes, and it works better than most people expect, provided you give the app something to match. Google Sound Search and SoundHound both accept a hummed or sung melody rather than a recording of the original track, and both convert your voice into a pitch contour, then compare that contour against indexed fingerprints. You do not need to sing in key. You need a clean, steady melody line with recognisable intervals between the notes.

Accuracy tracks popularity almost linearly. Reported figures put Google Sound Search at roughly 80% accuracy for well-known tunes, and it drops off sharply once you move past the top few million tracks. SoundHound, downloaded more than 300 million times as of 2023, leans on a similarly sized index; Midomi, its parent service, claims coverage of over 10 million songs. That sounds enormous until you remember Shazam has processed over 50 billion identification requests as of 2023 and still misses plenty of regional, classical and pre-1970 material. An obscure B-side or a video game track from 1998 may return nothing at all.

Getting a usable result

Hum in a quiet room, hold a steady tempo, and use "la" or "da" rather than closed-mouth humming. Closed lips smear the harmonics and the pitch detector has a harder time locking on. Give the app eight to fifteen seconds of the most distinctive phrase, usually the chorus or the opening riff, not the part you happen to remember best. Sing it at whatever pitch is comfortable; transposition is handled automatically, but a wavering key is not.

If the first attempt fails, try again a semitone or two higher, then try the same phrase with the rhythm flattened into even notes. SoundHound and Google Sound Search index the melody, not your phrasing, so a rushed or drawn-out rendition can throw the match. Three failed attempts across two apps is a reasonable signal to stop and switch to a different method.

Which app should you try first?

The honest ranking depends on whether your fragment is a melody, a lyric line, or a three-second earworm you can only reproduce as "dun dun dun." Humming engines are not interchangeable: Google's Sound Search handles a wordless hum better than most people expect, while Shazam will simply return nothing because it matches against recorded fingerprints, not pitched human voices. Start with the free browser-based option, because it costs you nothing but 20 seconds.

Work left to right in the table below rather than installing everything at once. Each tool has a different failure mode, and the failure mode tells you what to do next.

Google Sound Search wins the first round for most people: it needs no install, it accepts a hummed or sung melody, and the 80% accuracy figure for popular tunes means roughly four in five mainstream melodies land on the first pass. SoundHound is the better second attempt if Google returns something close but wrong, since its larger catalogue and humming support catch mid-tier artists Google's index misses. Midomi earns its place on desktop, where typing a lyric guess alongside a hum is faster than thumbing a phone. The one case where this flips is anything released before roughly 1970 or outside the English-language charts: all of these engines thin out badly on obscure catalogue, so if two humming attempts fail, stop cycling apps. Shazam's 50 billion identifications are all from recorded audio and will never help you here.

What if the humming app fails?

A failed hum match usually means one of three things: the melody you remember is a bassline, a riff, or a drum pattern rather than the vocal line; you are humming it in the wrong key or at the wrong tempo; or the recording is obscure enough to sit outside the app's indexed catalogue. SoundHound has been downloaded over 300 million times, and Shazam has logged over 50 billion identifications, but both lean heavily on mainstream Western releases. If two different apps gave you two different wrong answers, stop feeding them the same hum. Switch to text, context, and human ears — in that order.

The full sequence below takes most people 8-15 minutes. You need a browser, a Reddit account (free, 30 seconds to create if you do not have one), and whatever fragment you can still produce: three or four words of lyric, a rough year, a genre, a film it might have appeared in, or a distinctive instrument.

1. Write down every fragment before you search anything. Ninety seconds. Lyrics, melody shape, male or female vocal, tempo, any instrument you can name, where you heard it, and the approximate year. This is the step people skip, and it costs them the rest of the process — you cannot search a detail you have already forgotten, and a stuck song degrades fast over an afternoon.
2. Run the lyric fragment through Genius and Lyrics.com. Genius holds over 20 million lyrics as of 2024 and indexes partial lines well if you put the phrase in quotation marks. Try the exact wording first, then a paraphrase. Budget three minutes. If you only remember a melody and no words, skip to step 3.
3. Search YouTube with descriptive phrasing rather than a title you do not have. Queries like "song with whistling intro 90s", "80s song with saxophone solo female vocalist", or "indie track with clapping breakdown" surface compilation videos and forum threads where someone has already asked your question. Two to four minutes, and the comment sections are often the answer.
4. Cross-reference era and genre on a database that supports filtering. Musipedia lets you search by melodic contour, rhythm, or Parsons code if you can tap or hum the shape of the tune, and it is entirely free. TunePal does the same for traditional and folk repertoire, where commercial apps are weakest.
5. If the track might be classical, soundtrack, or traditional, try Midomi, which claims a database of over 10 million songs and handles non-pop material better than the mainstream apps. Give it 60 seconds of clean humming in a quiet room — background noise is the single most common reason humming searches return nothing.
6. Post to Reddit's r/tipofmytongue. The subreddit has over 2.5 million members as of 2024 and specializes in exactly this problem. Title the post with the format "[TOMT][GENRE][YEAR] Description of song", and put every fragment from step 1 in the body. If you can, attach a Vocaroo recording of yourself humming — audio posts get solved markedly faster than text-only ones. Expect a first reply within 10-40 minutes for a well-described post, and hours for a vague one.
7. For a last resort, upload a hummed clip to WatZatSong, which is built around community solving rather than algorithmic matching, or search SongMeanings if you remember a theme rather than a tune.

The failure mode here is a vague post. "It goes dun dun dun and it's kind of old" will sit unanswered for days and then get buried. Solvers need a decade, a genre, a vocal gender, a country of origin, and at least one concrete detail — a lyric word, an instrument, a music video image, a film it played over. Add those, and r/tipofmytongue solves a large share of well-formed queries within a day. Add nothing, and you have simply moved your dead end from an app to a forum.

How to describe a song to others when you don't know the title

A hum recorded on your phone is a starting point, not an argument. If you post "it goes dun-dun-dun-DUN" on Reddit's r/tipofmytongue (over 2.5 million members as of 2024), the thread dies in an hour. What gets answered is a structured description: enough specific detail that a stranger with a large music memory can pattern-match. The list below is the order that matters, roughly cheapest to most expensive in effort. Anything in brackets, you fill in.

• Hum the contour, then notate the shape. Melody is the strongest signal. Record five to fifteen seconds a cappella — no background noise, no instrumentation, no attempt at the original key. Sing the phrase, not the whole song. Musipedia's "Melody Search" lets you enter that phrase as a Parsons code (asterisk for the first note, U for up, D for down, R for repeat), and TunePal takes the same idea from ABC notation. Midomi (over 10 million songs claimed) and Google Sound Search both accept direct humming, though Google's accuracy is roughly 80% for popular tunes and falls off badly on anything older than 2015 or outside Western pop.
• Write down the exact lyric fragments you're sure of. Not a paraphrase. If you hear "the sun goes down and the world keeps turning," post that, not "something about the sun setting." Wrap the fragment in quotes and search it on Genius (over 20 million lyrics as of 2024) or Lyrics.com before you ask anyone. If Genius returns 800 results, the fragment is too generic; try the second line you remember instead. Odd words — proper nouns, brand names, numbers — narrow faster than grammatical ones.
• Pin the era to a decade, not "old." "Sometime between 2003 and 2007" gives a searcher a target. "It sounded kind of old" does not. If you can, narrow further: did it have a bridge rap? A fade-out ending instead of a cold stop? Fade-outs were common through the 1990s and rare by 2015. Autotune that sounds natural (2005-2012) versus autotune used as effect (2009-2014) is a real distinction users can work from.
• Name the instruments, not the vibe. "Sounded sad" tells nobody anything. "Grand piano and a single female voice, no drums for the first thirty seconds, then a handclap pattern" is workable. Was there a saxophone, a mandolin, a 909 kick, an organ pad? Were the vocals male, female, mixed, pitched up? Note the tempo roughly by tapping it — if you can hold a phone stopwatch and count beats, anything around 120 BPM fits a typical house or pop track; under 70 suggests a ballad or downtempo.
• Give the context, including location and time of day. "Heard in a Tesco in Manchester, around 8pm on a Saturday, played over the store PA" is genuinely usable — store playlists are often licensed from curated providers and skew to a narrow, searchable pool. Radio is better still: name the station, the city, and the hour. If it was in a film, describe the scene (which character, what was happening on screen) rather than the plot. If it was an ad, name the product.
• Say what you've already ruled out. "It is not Coldplay, it is not Snow Patrol, it is not that one by The Killers" saves a responder ten minutes and often triggers the right recall. Also state what you've already tried — Shazam (used over 50 billion times as of 2023), SoundHound (over 300 million downloads as of 2023), AHA Music — so people don't suggest the obvious.
• Format the ask so it's skimmable. On r/tipofmytongue or WatZatSong, put the key facts in a short header: year range, genre, vocal type, and one distinctive element. Post a Vocaroo or Clyp link to your hum. Titles that read "[TOMT][SONG][2008-2011] Female vocal, piano intro, chorus repeats 'run away'" get answers; titles that read "help me find this song!!!" get scrolled past.

The item people get wrong most often is lyrics. Memory fills gaps with plausible words, and a misremembered phrase will send every search engine down a dead end — "I'm wide awake and I can't sleep" appears in dozens of songs, while the actual line you half-heard might be "I'm wide awake, I cannot dream." If a Genius or Lyrics.com search returns nothing on your quoted fragment, treat the fragment as corrupt rather than the database as incomplete. Swap the suspect words for synonyms and search again. Two or three rewrites is usually enough to surface the right result, and the melody you hum is still backing you up in parallel.

Why do some songs get stuck in your head?

What you have is an earworm, and the clinical term for it is involuntary musical imagery. It is close to universal: survey work in the UK and Finland has found roughly 90% of people get one at least once a week, and around a quarter get them several times a day. They last anywhere from a few minutes to several days, and the ones that linger tend to be fragments rather than whole songs — usually the chorus, a hook, or a riff you heard once in a shop.

Songs stick for structural reasons more than emotional ones. Short phrases, a narrow pitch range, and a repeating melodic interval give your auditory cortex something it can loop without much effort. That is why nursery rhymes, jingles, and the four-chord chorus of a 2011 pop single lodge harder than a nine-minute prog track. The fragment also tends to be the part you heard most recently, which is why a 15-second clip from a supermarket playlist can occupy an entire afternoon.

The reassurance worth having: identification usually ends it. When you can name the song, artist, and album, the fragment stops being an open loop your brain keeps returning to close. Studies on earworm relief put "listening to the song all the way through" and "naming it" near the top of what actually works, ahead of distraction techniques like chewing gum or singing a different tune. That is the practical reason to keep going when your first attempt fails — the search itself is the cure.

What are the best online communities for song identification?

Automated matching fails for a predictable set of reasons: the recording was never commercially released, the hum is off-key enough to break pitch indexing, or you only remember a lyric fragment that Genius and Lyrics.com do not index because the track is a demo. That is when you hand the problem to humans. The communities below are ranked by how fast a correct answer typically arrives, which is not the same as how large they are.

• Reddit r/tipofmytongue — 2.5M+ members as of 2024, and the most reliably fast option for anything even loosely mainstream. Post a title with the format "TOMT [SONG]" followed by decade, genre, and any lyric fragment you are sure of. Answers frequently land inside 20 minutes; the subreddit marks solved posts automatically, so include "solved" in a reply to close the thread. Weakness: pop and rock get solved instantly, while niche electronic, regional-language, and pre-1970 tracks can sit unanswered for days.
• WatZatSong — a site built for exactly one job, and the only one on this list where you upload an audio recording rather than describe the song. Its user base is small but disproportionately made up of crate diggers, soundtrack collectors, and dance music specialists who recognise tracks by bassline alone. If you can recreate even eight seconds of the melody on a keyboard or hum it into your phone, this is the highest-signal place to post it.
• Stack Exchange Music Fans — a Q&A site at musicfans.stackexchange.com with strict formatting rules and an identification tag. Volume is much lower than Reddit, maybe a handful of ID requests a week, but the answers come from people who treat it as a research exercise and will cite release dates, catalogue numbers, and alternate mixes. Best for classical, jazz standards, and traditional material where the "song" has dozens of recordings.
• SongMeanings — a lyric discussion forum rather than a dedicated ID service. Its value is indirect: searching the words you remember often surfaces the song because the forum indexes discussion around specific lyrics that Genius sometimes buries under annotation. Use it when you are confident about the words but not the melody.
• r/NameThatSong — smaller sibling to r/tipofmytongue with roughly a tenth of the traffic, but less noise. Worth cross-posting to if your first attempt gets buried overnight, since the two communities have overlapping but not identical regulars.
• Genre-specific subreddits and Discogs forums — r/electronicmusic, r/classicalmusic, and the Discogs community boards each contain people with deep catalogue knowledge that generalist forums lack. Post only after a general attempt fails, and always name the sub-genre in your title.
• Musipedia and TunePal — not communities in the social sense, but searchable melody indexes. Musipedia lets you enter a contour or tap a rhythm; TunePal is built for Irish and Scottish traditional tunes specifically. If your fragment turns out to be a folk melody, one of these will match it directly without any human involvement.

The mistake people make most often is posting a description instead of a reproduction. "It goes like da-da-DUM-da and a man sings about the rain" gives a stranger almost nothing to work with. Record yourself humming for ten seconds on your phone, upload it to Vocaroo or YouTube as an unlisted clip, and link it in the post. A rough, off-key recording beats a perfect written description every time, because the reader can hum it back and check against their own memory instead of translating your words into a melody first.

Can you use a melody sequencer to find a song?

Melody sequencers are the oldest branch of song identification, predating smartphone apps by decades. The idea is straightforward: instead of humming into a microphone, you click notes on a virtual keyboard or drag them onto a staff, and the engine matches your interval pattern against a reference database. Musipedia, run out of a university project and still online in 2026, is the clearest example. Its Parsons-code search lets you describe a melody as a sequence of ups and downs (a rough contour like "up, up, down, same") rather than exact pitches, which sidesteps the problem of remembering the key you heard it in. Musipedia also accepts a clickable piano keyboard input if you can find the starting note, and a "Melody Search" that matches against a modest corpus of classical, folk and popular themes.

For traditional music specifically, TunePal is worth knowing about. It was built at the University of Limerick for Irish and Scottish session players who need to identify a tune from a few bars played on fiddle or whistle, and it works by matching ABC notation fragments against a database of around 30,000 traditional tunes. It will not help you find a 2014 synth-pop single, but if the fragment in your head is a jig, reel or air, TunePal's hit rate is far better than any acoustic app because the database is small and the matching is exact. Occasionally it surfaces a folk melody that a pop artist borrowed, which is its most useful side effect for general listeners.

The honest limitation is that melody sequencers assume a level of musical literacy most people do not have. You need to know whether the second note is higher or lower than the first, and ideally by roughly how much. Most people can hum a tune accurately while being unable to name a single interval in it, which is exactly the gap these tools do not bridge. A piano keyboard on screen does not help if you cannot find the note you are hearing. In practice, melody search works well for classically trained users and traditional musicians, and poorly for everyone else. If you can hum it but cannot place the notes, skip this step and go back to an acoustic app or a lyric search rather than burning twenty minutes clicking keys at random. That is the failure mode worth naming: people assume the tool is broken when the real issue is that the input format does not match what they actually remember.

How to narrow down by era and genre

Use this once you have a melody or a lyric fragment but the identifier apps still return nothing usable, which usually means the recording is too obscure, too old, or your humming is off-key enough to break pitch matching. You need three things to run it: a rough sense of the song's production sound, a genre guess you are willing to revise, and about ten minutes with a streaming service open in one tab and a chart archive in another.

1. Date the production, not the song. Listen for the drums first. Gated snare reverb puts you in 1982-1986 (think "In the Air Tonight" era Phil Collins, or anything produced by Mutt Lange). Boomy, dry, untreated kick and snare with minimal reverb leans 1968-1975. Trap hi-hats rolling in 32nd notes and sub-bass below 40 Hz indicate 2012 or later. Wall-of-sound compressed guitars with no dynamic range points to the loudness-war window of roughly 1997-2008. Spend two minutes on this and write down a five-year range, not a decade.
2. Classify the genre broadly. Rock, pop, hip-hop, R&B, electronic, country, folk, metal, or something you cannot place. Sub-genres waste time here; "pop" is enough to start, and you can refine to synth-pop or dance-pop once you have candidates.
3. Search Spotify with a year range and a genre tag, not just a genre. In the desktop app, use the search bar and type a genre term, then apply the year filter inside a playlist you build. Better: search genre:pop year:1983-1986 in the search field. Spotify returns tracks, not albums, so you get a fast scroll. Apple Music has no equivalent year operator, so on iOS build a Smart Playlist in the desktop app with Year between the two dates and Genre contains your tag, then sync it. Budget five minutes of scrolling.
4. Pull the Billboard Hot 100 for your year range. Billboard's own archive at billboard.com/charts/hot-100/1985-06-15 gives the full chart for any week back to August 1958. Scan the titles. A song stuck in your head for days was almost certainly a chart hit in its year; the human brain rarely loops on album deep cuts. If you are outside the US, use the Official Charts Company archive for the UK or GfK Entertainment for Germany, since regional hits differ sharply.
5. Cross-check with YouTube. Search a year plus genre plus a lyric fragment in quotes, then sort by view count. YouTube's catalogue is deeper than Spotify's for pre-1990 material and for regional releases, and the comment sections regularly name songs that streaming metadata gets wrong.
6. If the era guess keeps failing, widen by five years in both directions and repeat step 3. Most people lock onto one decade and never move. Two passes at ten minutes total beats one pass at forty.
7. Feed the survivors into a lyric database. Genius holds over 20 million lyrics as of 2024 and lets you search exact phrases; Lyrics.com covers older standards that Genius skips. Type the three or four words you are most confident about, not the whole line, in quotation marks.

The failure mode is anchoring. You decide the song is from 1994 because it reminds you of a summer, and every filter you apply inherits that error, so a 1989 track stays invisible through six searches. Production eras bleed: a 1979 recording can carry gated reverb if it was remixed for a 1984 single release, and streaming services often date the remaster rather than the original. If two full passes over your Billboard range turn up nothing, your decade is wrong. Start again from the drums.

Frequently Asked Questions

Can Shazam identify a song if I hum it?

No. Shazam matches a short audio fingerprint against a database of around 100 million recorded tracks, and humming produces no matching fingerprint. It also fails on live concert recordings and muffled audio for the same reason. Shazam added "Search by Song" in 2021, but that only accepts your own recorded vocals against licensed instrumentals, not freeform humming.

What is the best app to find a song by humming?

Google Sound Search and SoundHound are the two strongest free options. Hum or sing 10-15 seconds and SoundHound will return ranked matches with a confidence score. Google's version, built into the Google app and Assistant, works well on Android and handles pitchy humming better than most. Midomi is a solid backup, especially for older or non-English tracks the others miss.

How can I find a song if I only remember the music video?

Post a detailed description to r/tipofmytongue: era, setting, hair and clothing, camera style, whether it was animated or live action. Subscribers there identify videos from two-line descriptions surprisingly often. You can also search YouTube directly with those visual details plus a date range, like "2003 music video snow rooftop animated", since YouTube filters by upload year.

Is there a website where I can hum a tune to find it?

Yes. Midomi.com, run by SoundHound, lets you hum, sing or whistle directly into your browser microphone with no app install. Open the page, click the microphone icon, and sing for at least 10 seconds. It returns a ranked list of candidate songs with clips. Accuracy drops for instrumental or classical music, and the site works best in Chrome or Safari.

Why can't I remember the name of a song that's stuck in my head?

You are experiencing an earworm, which research suggests affects roughly 90 percent of people at least once a week. The melody and rhythm get stored in auditory memory far more strongly than the title, which lives in verbal memory. So the tune loops clearly while the name stays just out of reach, a state psychologists call tip-of-the-tongue retrieval failure.

How long does it take to get a response on r/tipofmytongue?

Most posts get at least one serious reply within 2-6 hours. Well-known songs from the 2000s or 2010s are often solved in under an hour. Obscure tracks, foreign-language songs or anything with a vague description can take a full day or longer. Bump your post with extra details after 24 hours; the subreddit has around a million members.