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DEEP DIVE · THE-DARK-KNIGHT

The full breakdown

Detection, audio and scene analysis across every frame of The Dark Knight — derived from object recognition, transcript alignment and shot segmentation.

← Back to The Dark Knight
2008Action, Crime, Thriller152.2 min● analyzed May 20, 2026
Total Detections
120,442
objects + faces
Unique Objects
81
distinct types
Detections / min
791.4
avg rate
Night Scenes
96.7%
low-light frames
Words Spoken
10,489
transcribed
Named Actors
15
face-id matched
SIX-AXIS GENOME

Movie DNA radar

DARKNESSACTIONDIALOGUEPEOPLEVEHICLESVISUAL
Darkness
97/100
Action
55/100
Dialogue
42/100
People
60/100
Vehicles
7/100
Visual
81/100
PROFILE

Genome readout

Darkness Index41.8%
Darkness RatingBright
Action Intensity5.5
Action RatingModerate
People Density1.99 people/min
Social RatingIntimate
Vehicle Density0.12 vehicles/min
Chase PotentialMedium
Indoor %52.5%
SettingBalanced
Object Diversity81 types
Visual ComplexityHigh
Pacing SignatureHighly Variable
FUN FACTS

Things the model surfaced

The Dark Knight exceeds the action film average by a staggering 13%, with 60 people on screen, outshining 12 out of 12 genre companions' paltry 47.
6,351
unique people spotted (82% of frames)
"harvey" is said 53 times — once every 2.9 minutes.
The longest stretch of silence runs 8 min 8 sec — no dialogue at all.
Only 4.4% of all detected faces are smiling across the entire film.
At 134 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
2,597
unique words spoken out of 10,489 total — a vocabulary richness of 24.8%.
AI detected 81 unique object types across 120,442 frame-by-frame detections.
1,294
unique ties spotted (22% of frames)
550
unique chairs spotted (7% of frames)
589
unique cars spotted (5% of frames)
229
unique tvs spotted (3% of frames)
140
unique wine glasses spotted (1% of frames)
108
unique dining tables spotted (2% of frames)
107
unique books spotted (1% of frames)
125
unique cell phones spotted (2% of frames)
123
unique cups spotted (1% of frames)
96.7%
of the movie takes place at night
Features 265 dog appearances
4,069
cars spotted (vehicle-heavy film)
117
weapon appearances (1 per minute)
Shot predominantly with warm tones