feeldb

Thunder and the House of Magic

2013 · 85 min · Director: Mimi Maynard, Ben Stassen, Jérémie Degruson ★ IMDb 6.2 · 8,164 ratings

Show plot summary (may contain spoilers)

Thunder, an abandoned young cat seeking shelter from a storm, stumbles into the strangest house imaginable, owned by an old magician and inhabited by a dazzling array of automatons and gizmos. Not everyone welcomes the new addition to the troupe as Jack Rabbit and Maggie Mouse plot to evict Thunder. The situation gets worse when the magician lands in hospital and his scheming nephew sees his chance to cash in by selling the mansion. Our young hero is determined to earn his place and so he enlists the help of some wacky magician's assistants to protect his magical new home.

Ask Kadri

Trailer for Thunder and the House of Magic

Playing the trailer connects to YouTube. No connection is made until you choose to play.

Rate how it felt
Working…

Your viewing check-in

Emotional fingerprint

Thunder and the House of Magic (2013) — Movie. Top emotional signals: Joy 30%, Excitement 25%, Empathy 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Joy30%
  2. Relief10%

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 Joy, Excitement, Empathy. Genres: Comedy, Adventure, Animation. AI estimate.

Is it worth watching?

Consider this title if you are looking for Joy, Excitement and Empathy. Its IMDb rating of 6.2/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 59/100.

How did it make you feel?

Votes are saved to the fingerprint once you’re signed in.

Pick up to three · 0/3

1
2
3

Emotional journey

AI · from subtitles
  • Tension
  • Humor
  • Sympathy

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Sympathy

Dominant emotion: Tension

Dominant emotion: Humor

Dominant emotion: Joy

Dominant emotion: Relief

Tension
Humor
Sympathy
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 13 %, then dips around 43 %, then peaks around 83 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionHumorSympathy
2.5 %≈ 2′Sympathy63 %50 %23 %55 %
7.5 %≈ 6′Tension60 %50 %25 %44 %
12.5 %≈ 11′Humor56 %40 %41 %36 %
17.5 %≈ 15′Humor59 %27 %51 %36 %
22.5 %≈ 19′Joy63 %25 %45 %44 %
27.5 %≈ 23′Sympathy61 %36 %41 %53 %
32.5 %≈ 28′Sympathy61 %48 %41 %55 %
37.5 %≈ 32′Sympathy59 %45 %40 %50 %
42.5 %≈ 36′Humor56 %40 %43 %46 %
47.5 %≈ 40′Sympathy61 %44 %48 %44 %
52.5 %≈ 45′Humor64 %43 %55 %36 %
57.5 %≈ 49′Humor63 %38 %61 %31 %
62.5 %≈ 53′Humor64 %45 %61 %28 %
67.5 %≈ 57′Humor68 %59 %56 %30 %
72.5 %≈ 62′Tension75 %71 %45 %41 %
77.5 %≈ 66′Tension81 %79 %33 %52 %
82.5 %≈ 70′Tension83 %80 %30 %55 %
87.5 %≈ 74′Tension83 %64 %41 %45 %
92.5 %≈ 79′Relief82 %35 %55 %33 %
97.5 %≈ 83′Not enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidence
Cinderella

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 ↗

Kadri — your film companion

AI

Ask anything about Thunder and the House of Magic. From the film’s own dialogue and FeelDB data, at your spoiler level.

Kadri

Hi, I’m Kadri. Ask me anything about Thunder and the House of Magic — I’ll stay inside your spoiler line.

Premise only
Enter to send · Shift + Enter for a new line
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

CA
Cinda Adams

BS
Brianne Siddall

Thunder / Dylan (voice)

GB
George Babbit

Robin Atkin Downes

Carlo / Jack / Zoltar (voice)

BB
Brianne Brozey

CA
Cinda Adams

Nurse Baxter (voice)

SS
Sage Sommer

Izzy (voice)

SG
Shanelle Gray

Maggie (voice)

DS
Doug Stone

Mr. Lawrence (voice)

GG
Grant George

Daniel (voice)

JC
Joey Camen

Chihuahua (voice)

EG
Elisa Gabrielli

Carla (voice)

KH
Kyle Hebert

Mark Matthews (voice)

ER
Ella Rouhier

Hospital children (voice)

NR
Noah Ray Strauss

Hospital children (voice)

IT
Isabella Tatone

Hospital children (voice)

KT
Keegan Thomas

Hospital children (voice)

JO
Joe Ochman

Mr. Eames (voice)

LM
Lani Minella

Old Lady (voice)

Grey DeLisle

Mrs. Eames (voice) (as Mille Mup)

Jim Ward

Reggie Willis (voice) (as Joseph W. Terry)

SB
Susanne Blakeslee

Audrey (voice) (as Nina Grillo)

RR
Roxanne Reese

Lasondra (voice) (as Kendra Leif)

Details

Directed by
Mimi Maynard, Ben Stassen, Jérémie Degruson
Written by
Ben Stassen, Domonic Paris, James Flynn, James Flynn
Type
Animation
Released
2013
Runtime
85 min
Country
Belgium, France, United Kingdom, United States
Ratings
★ IMDb 6.2 · 8,164 ratings
Feels mostly
Joy
Data updated

Where to watch

Data: JustWatch · Wikidata

Feels similar

More like this →

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