Film Profile · JOKER
Joker
Detections96,933
Night Frames82%
Dialogue WPM50
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-71% vs genre
18/100
Very Bright
Action Intensity+0% vs genre
55/100
Moderate
People Density-3% vs genre
54/100
Intimate
Indoor / Outdoor
64% indoor
Indoor · 63.8% indoors
Object Diversity
122/100
High
Pacing
0.8 cuts/min
Dynamic · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
JokerCrime avg · 7 titles
THE ARC
Motion & brightness across the runtime
Hover to scrub. Spikes mark high-action sequences. Dips reveal quiet stretches.
Motion Intensity
Brightness
People
STRUCTURE
Scene mix by act
Three-act split — how the visual tone shifts from setup through climax.
PEAKS & VALLEYS
When the film pushes — and breathes
The single most-intense minute and longest stretch of stillness.
CHROMA
Color signature
Frame-sampled palette — temperature, saturation, and how the look shifts across the runtime.
Temperaturecool
Saturationmuted
Frames sampled5,842
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#495343
22.7%
#54341D
21.7%
#80987D
16.6%
#816E4B
15.3%
#154D4E
12.1%
#C1D1AB
11.5%
Palette by scene type5 dominant colors per context · sampled within scene class
Empty scenes
#374A40
#67826A
#676143
#96AC89
#CEDAB5
General scenes
#696F58
#573622
#344D43
#9BA684
#D0D8B3
Night scenes
#51361F
#515B4A
#144B4C
#8F7B55
#AFC39E
Outdoor scenes
#334339
#697A63
#6A4729
#9CA985
#CDDCB8
Romantic scenes
#404434
#8FA783
#7F6D4A
#507961
#C7D8B3
Vibrant scenes
#783F20
#9C6D35
#187365
#36A490
#D1A947
DETECTIONS
What appears on screen most
The four most-present objects — full breakdown with categories in Deep Dive.
ON SCREEN
Cast at a glance
Top 3 actors by screen time, color-coded by dominant emotion.
JP
Joaquin Phoenix
Arthur Fleck
38.0m · angry
RD
Robert De Niro
Murray Franklin
5.3m · angry
ZB
Zazie Beetz
Sophie Dumond
2.2m · neutral
AI-DISCOVERED FACTS
AI-Discovered Facts — Joker (2019)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Joker exceeds the average color palette of 6 out of 6 crime films by 11 points, boasting a score of 36 out of 100.
- 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)
- Contains 32 profanities (0.3 per minute)
- Longest silence: 7 minutes of unbroken quiet
- 20% of frames are close-ups
- The film's emotional journey ends on a neutral note
- Shot predominantly with cool tones
DIALOGUE
Words across the runtime
Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.
34% dialogue66% silence / score
6,059
total words
50
words / min
32 · 0.5%
profanity flagged
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