QuantCinemaCinema, decoded.
FilmsRankingsCompare
QuantCinema

AI-powered cinema analytics.

DISPATCH

Suggest a film · get notified when new data drops

© 2026 QuantCinema
DEEP DIVE · HARRY-POTTER-AND-THE-GOBLET-OF-FIRE

The full breakdown

Detection, audio and scene analysis across every frame of Harry Potter And The Goblet Of Fire — derived from object recognition, transcript alignment and shot segmentation.

← Back to Harry Potter And The Goblet Of Fire
2005Adventure, Fantasy157.1 min● analyzed Jun 15, 2026
Total Detections
125,389
objects + faces
Unique Objects
110
distinct types
Detections / min
798.2
avg rate
Night Scenes
65.2%
low-light frames
Words Spoken
7,704
transcribed
Named Actors
14
face-id matched
SIX-AXIS GENOME

Movie DNA radar

DARKNESSACTIONDIALOGUEPEOPLEVEHICLESVISUAL
Darkness
66/100
Action
55/100
Dialogue
49/100
People
72/100
Vehicles
0/100
Visual
100/100
PROFILE

Genome readout

Darkness Index26.1%
Darkness RatingBright
Action Intensity5.5
Action RatingModerate
People Density2.40 people/min
Social RatingSocial
Vehicle Density0.00 vehicles/min
Chase PotentialLow
Indoor %97.2%
SettingIndoor
Object Diversity110 types
Visual ComplexityHigh
Pacing SignatureHighly Variable
FUN FACTS

AI-Discovered Facts — Harry Potter And The Goblet Of Fire (2005)

Harry Potter And The Goblet Of Fire spends a whopping 97% of its runtime indoors, far surpassing the average of 70% for Adventure films and outperforming nearly 95% of the genre.

7,213unique people spotted (77% of frames)

"harry" is said 47 times — once every 3.3 minutes.

Daniel Radcliffe is on screen for 31 of 157 minutes — 20% of the runtime.

The longest stretch of silence runs 14 min 2 sec — no dialogue at all.

Only 7.0% of all detected faces are smiling across the entire film.

The 5 most intense moments all happen within 3 min 3 sec of each other.

At 125 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.

2,242unique words spoken out of 7,704 total — a vocabulary richness of 29.1%.

AI detected 110 unique object types across 125,389 frame-by-frame detections.

890unique ties spotted (9% of frames)

Posters appear in 4% of frames

183unique chairs spotted (2% of frames)

94unique books spotted (1% of frames)

89unique birds spotted (1% of frames)

56unique wine glasses spotted (1% of frames)

70unique cups spotted (1% of frames)

54unique dining tables spotted (1% of frames)

58unique couchs spotted (1% of frames)

Features 196 dog appearances

Fire or explosions visible in 0% of sampled frames

Smoke or haze detected in 114 frames