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Data by JustWatch

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Pick a song. Get films that feel like it.

We read a song's mood, themes and setting, then find films with the same feel.

Try

Films and TV shows that feel like Dracula by Tame Impala

A nocturnal rush of intoxicating paranoia and neon-lit escapism through crowded city streets.

  1. Climax (2018): It mirrors the track's descent into a hyper-stylized, bass-driven nightmare of intoxicating chaos.
  2. Nightcrawler (2014): Captures the relentless, nocturnal prowl through a glittering yet sinister urban landscape.
  3. Drive (2011): Shares the same cool, synth-heavy aesthetic of a lone figure moving through the neon city shadows.
  4. Euphoria (2019): Its glossy, strobe-lit visual style and themes of youthful hedonism match the song's sensory overload.
  5. Uncut Gems (2019): Matches the high-anxiety, pulsating rhythm of chasing a fleeting, dangerous high.
  6. Atlanta (2016): Explores the surreal, shadowy margins of modern nightlife with a slick psychedelic edge.
  7. Her (2013): Evokes a futuristic, melancholic loneliness set against a sleek urban backdrop.
  8. Enter the Void (2010): Mirrors the hyper-vivid, hallucinatory rush of lights and sensory distortion.

What a search gives you

Nightcall by Kavinsky, read for its mood and setting, then matched with films and shows.

Nightcall cover art
Song

Nightcall

Kavinsky

A lonely, neon-lit nocturnal drive where a quiet predator-turned-protector offers redemption in a cool, detached whisper.

night drivingurban lonelinessnoir romancehypnotic
See all 8 picks
Drive poster Film 2011 Drive The song's home: a silent driver, neon LA nights, and tender violence. Thief poster Film 1981 Thief Michael Mann's rain-soaked, synth-scored nocturnal crime study of a lone professional. Collateral poster Film 2004 Collateral A taxi ride through LA after dark with an unsettling, magnetic killer. Miami Vice poster TV 1984 Miami Vice The original neon, synth-driven nighttime cool of cars, cops and pastel dread.

How it works

  1. Listen

    We find the exact song on Deezer or the exact film on TMDB, plus listener tags from Last.fm like "post-punk", "road trip" or "melancholy".

  2. Describe

    An AI model turns it into themes, moods, a setting and an era: the things a film and a song can share.

  3. Match

    Those themes become picks that we check against TMDB and Deezer, so every film and song is real.

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