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Toc Toc

2017 · 96 min · Director: Vicente Villanueva ★ IMDb 6.8 · 23,440 ratings

Show plot summary (may contain spoilers)

In the waiting room of an international well-known doctor expert in treatments for TOC ("Trastorno Obsesivo Compulsivo"; Spanish for "Obsesive Compulsive Disorder" or OCD) meet some people who by a malfunction of a new computer program have been dated the same day at the same time. In the group are the next: Emilio, a taxi driver expert in astronomical mathematical calculation who too is affected of Diogenes Syndrome (hoarder disorder); Blanca, a lab worker who suffers of mysophobia, an extreme panic to all virus and bacteria; Ana María, a prayerful religious with disorder of verification; Otto, a young guy with obsession by symmetry unable to step the cracks in the pavement lines; Lili, a nice young girl and gym coach who is affected at the same time by palilalia (unintentional repetition of quotes, words and syllables said by oneself) and echolalia (unintentional repetition of quotes, words and syllables said by other person); and finally Federico, a mature aspiring lawyer affected by Tourette Syndrome, forcing him unwittingly to say all kind of profanities and making obscene gestures. After a tense first contact between them, it increases when Tiffany, Dr. Palomero's receptionist, reports them that the airplane of the doctor delays from London. It causes that Federico suggests to the others share their different OCDs in the hope to find a cure, starting a series of events each time more crazy.

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Emotional fingerprint

Toc Toc (2017) — Movie. Top emotional signals: Humor 40%, Smile 25%, Empathy 15%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

40%Humor
25%Smile
  1. Humor40%
  2. Smile25%

AI estimate · no viewer votes yet

How we measure

AI estimate

Share of emotional signal, not the percentage of people or a probability of enjoyment.

Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.

Why it feels this way

The strongest emotional signals are Humor, Smile, Empathy. Genres: Comedy. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Smile and Empathy. Its IMDb rating of 6.8/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 71/100.

How did it make you feel?

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Pick up to three · 0/3

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Emotional journey

AI · from subtitles
  • Humor
  • Hope
  • Empathy

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Empathy

Dominant emotion: Hope

Humor
Hope
Empathy
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values. Not enough subtitle evidence
Ending hidden

Dominant emotion

Intensity dips around 3 %, then peaks around 93 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorHopeEmpathy
2.5 %≈ 2′Humor40 %40 %5 %7 %
7.5 %≈ 7′Humor43 %41 %5 %15 %
12.5 %≈ 12′Humor46 %44 %6 %26 %
17.5 %≈ 17′Humor48 %46 %6 %25 %
22.5 %≈ 22′Humor46 %45 %4 %19 %
27.5 %≈ 26′Humor44 %41 %6 %20 %
32.5 %≈ 31′Humor43 %40 %13 %25 %
37.5 %≈ 36′Humor45 %39 %15 %34 %
42.5 %≈ 41′Empathy49 %38 %16 %44 %
47.5 %≈ 46′Empathy49 %38 %21 %48 %
52.5 %≈ 50′Empathy48 %36 %25 %48 %
57.5 %≈ 55′Empathy49 %35 %29 %48 %
62.5 %≈ 60′Hope54 %41 %35 %48 %
67.5 %≈ 65′Humor57 %49 %35 %48 %
72.5 %≈ 70′Humor56 %46 %34 %49 %
77.5 %≈ 74′Empathy55 %40 %35 %50 %
82.5 %≈ 79′Empathy58 %39 %42 %50 %
87.5 %≈ 84′Hope61 %44 %54 %48 %
92.5 %≈ 89′Hope62 %48 %55 %43 %
97.5 %≈ 94′Not enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidence
Man in a hole

Rags to riches: The emotional tone rises from negative to positive.

Riches to rags: The emotional tone falls from positive to negative.

Man in a hole: The tone falls, then recovers.

Icarus: The tone rises, then falls.

Cinderella: The tone rises, falls, then rises again.

Oedipus: The tone falls, rises, then falls again.

AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗

Afterward Reveal viewer responses · may contain spoilers

Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

0 responses so far

Feeling details appear after at least 3 viewers respond, to protect privacy.

Cast

OM
Oscar Martínez

Federico

IC
Inma Cuevas

Tiffany

NH
Nuria Herrero

Lili

AR
Ana Rujas

Natalia

CL
Carolina Lapausa

Rocío

IS
Iris Solís

Laboratory Birthday Girl

PH
Paqui Horcajo

Laboratory Birthday Girl #1

PG
Pepa Gracia

Laboratory Birthday Girl #2

IG
Inmaculada Gamoneda

Laboratory Birthday Girl #3

MG
Maty Gómez

Woman on Bus #1

BG
Blanca Gil

Woman on Bus #1 #2

CN
Carlos Niño

Coach aula

CV
Camila Viyuela

Chica gym 1

VM
Violeta Mateos

Chica Gym 2

IC
Iván Cózar

Marcial

ÁR
Ángel Ruiz

Hombre taxi

Details

Directed by
Vicente Villanueva
Written by
Vicente Villanueva, Laurent Baffie
Type
Movies
Released
2017
Runtime
96 min
Country
Spain
Genres
Comedy
Ratings
★ IMDb 6.8 · 23,440 ratings
Feels mostly
Humor
Data updated

Where to watch

Also on

Availability varies by country

Data: JustWatch · Wikidata

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Emotion overlap shows mood similarity, not a prediction of enjoyment.