DEEP DIVE · JOKER
The full breakdown
Detection, audio and scene analysis across every frame of Joker — derived from object recognition, transcript alignment and shot segmentation.
2019Crime, Thriller, Drama121.8 min● analyzed May 27, 2026
Total Detections
96,933
objects + faces
Unique Objects
122
distinct types
Detections / min
795.7
avg rate
Night Scenes
82.0%
low-light frames
Words Spoken
6,059
transcribed
Named Actors
14
face-id matched
SIX-AXIS GENOME
Movie DNA radar
Darkness Index18%
Darkness RatingVery Bright
Action Intensity5.5
Action RatingModerate
People Density1.78 people/min
Social RatingIntimate
Vehicle Density0.12 vehicles/min
Chase PotentialMedium
Indoor %63.8%
SettingIndoor
Object Diversity122 types
Visual ComplexityHigh
Pacing SignatureDynamic
FUN FACTS
Things the model surfaced
Joker is an unexpectedly vibrant film, boasting a 36 out of 100 color score that blows away the average of 25 for traditional Crime films.
3,395
unique people spotted (87% of frames)
"good" is said 27 times — once every 4.5 minutes.
Joaquin Phoenix is on screen for 38 of 122 minutes — 31% of the runtime.
The longest stretch of silence runs 7 min 27 sec — no dialogue at all.
32
profanity instances across the runtime — roughly one every 231 seconds.
Only 12.4% of all detected faces are smiling across the entire film.
The 5 most intense moments all happen within 24 seconds of each other.
At 125 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
1,576
unique words spoken out of 6,059 total — a vocabulary richness of 26.0%.
AI detected 122 unique object types across 96,933 frame-by-frame detections.
331
unique chairs spotted (10% of frames)
330
unique ties spotted (9% of frames)
335
unique cars spotted (4% of frames)
124
unique tvs spotted (5% of frames)
137
unique cups spotted (4% of frames)
111
unique couchs spotted (4% of frames)
80
unique potted plants spotted (3% of frames)
Features 134 dog appearances
112
weapon appearances (1 per minute)
Shot predominantly with cool tones