Film Profile · WATCHMEN-ULTIMATE-CUT
Watchmen Ultimate Cut
Detections130,939
Night Frames69%
Dialogue WPM50
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-40% vs genre
36.4/100
Bright
Action Intensity-7% vs genre
50/100
Moderate
People Density-7% vs genre
47/100
Intimate
Indoor / Outdoor
64% indoor
Indoor · 63.9% indoors
Object Diversity
130/100
High
Pacing
0.5 cuts/min
Dynamic · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
Watchmen Ultimate CutMystery avg · 4 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
Saturationvivid
Frames sampled10,330
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#143C56
27.3%
#4F3F2C
20.8%
#3C6979
19.8%
#889897
14.8%
#897345
10.2%
#D6DDDB
7.1%
Palette by scene type5 dominant colors per context · sampled within scene class
Empty scenes
#7D8D89
#2A5564
#5D4225
#C4CECA
#A68421
Intimate scenes
#0A285F
#6C8386
#5D482D
#27505F
#C1CBCB
Night scenes
#15425B
#493F2E
#637C80
#81693D
#C0C7C3
Outdoor scenes
#163C54
#5A462C
#878B7D
#38697A
#CDD5D2
Romantic scenes
#64717F
#145679
#263351
#60432B
#B1B2A9
Vibrant scenes
#114F74
#2D7A90
#784A20
#A3883E
#AE8807
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.
PW
Patrick Wilson
Dan Dreiberg / Nite Owl II
13.7m · angry
MG
Matthew Goode
Adrian Veidt / Ozymandias
9.6m · angry
MÅ
Malin Åkerman
Laurie Jupiter / Silk Spectre II
8.6m · sad
AI-DISCOVERED FACTS
AI-Discovered Facts — Watchmen Ultimate Cut (2009)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Watchmen Ultimate Cut shatters genre conventions with a staggering 76 out of 100 score, a whopping 20 points above the Mystery film average.
- 5,452 unique people spotted (73% of frames)
- "world" is said 35 times — once every 6.2 minutes.
- The longest stretch of silence runs 4 min 35 sec — no dialogue at all.
- 46 profanity instances across the runtime — roughly one every 286 seconds.
- Only 6.9% of all detected faces are smiling across the entire film.
- At 117 BPM, the score sets a slow, meditative pace throughout.
- 3,112 unique words spoken out of 10,670 total — a vocabulary richness of 29.2%.
- AI detected 130 unique object types across 130,939 frame-by-frame detections.
- 736 unique ties spotted (9% of frames)
- 344 unique chairs spotted (3% of frames)
- 261 unique cars spotted (2% of frames)
- Posters appear in 2% of frames
- 151 unique cups spotted (2% of frames)
- 156 unique bottles spotted (1% of frames)
- 239 unique birds spotted (1% of frames)
- 116 unique books spotted (1% of frames)
- 99 unique tvs spotted (1% of frames)
- Features 306 dog appearances
- 151 weapon appearances (1 per minute)
- Smoke or haze detected in 176 frames
- Contains 46 profanities (0.2 per minute)
- Longest silence: 5 minutes of unbroken quiet
- 23% of frames are close-ups
- The film's emotional journey ends on a neutral note
- Shot predominantly with cool tones
- High color saturation — vivid visual style
DIALOGUE
Words across the runtime
Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.
40% dialogue60% silence / score
10,670
total words
50
words / min
46 · 0.4%
profanity flagged
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