Film Profile · MAN-OF-STEEL
Man of Steel
Detections63,599
Night Frames42%
Dialogue WPM41
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-82% vs genre
12/100
Very Bright
Action Intensity-10% vs genre
45/100
Moderate
People Density-32% vs genre
35/100
Intimate
Indoor / Outdoor
23% indoor
Outdoor · 23.1% indoors
Object Diversity
123/100
High
Pacing
0.7 cuts/min
Steady · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
Man of SteelAction avg · 28 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.
Temperatureneutral
Saturationmuted
Frames sampled6,860
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#5D645D
20.6%
#84887E
18.8%
#204651
18.3%
#B7B29E
16.7%
#4B4134
14.8%
#E8E6DA
10.9%
Palette by scene type5 dominant colors per context · sampled within scene class
Day scenes
#B6B3A1
#DAD7C4
#F6F7F2
#878A80
#46575A
Empty scenes
#384544
#617574
#ACA996
#E8E5D6
#8D6B49
Night scenes
#56615E
#1A414E
#494034
#8E8B7D
#CDC7B6
Outdoor scenes
#524F45
#7D8178
#204651
#B7B39F
#E9E8DC
Romantic scenes
#7A847A
#ACAE9D
#2D4648
#5B594A
#E1E3D7
Vibrant scenes
#1C6073
#774C27
#A76F3B
#318794
#DCA159
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.
HC
Henry Cavill
Clark Kent / Superman / Kal-El
17.8m · angry
AA
Amy Adams
Lois Lane
8.8m · fear
RC
Russell Crowe
Jor-El
7.2m · sad
AI-DISCOVERED FACTS
AI-Discovered Facts — Man of Steel (2013)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Man of Steel uses more close-ups than 25 out of 27 action films, clocking in at a whopping 42%, well above the genre average of 24%.
- 3,580 unique people spotted (70% of frames)
- "ship" is said 19 times — once every 7.5 minutes.
- The longest stretch of silence runs 10 min 18 sec — no dialogue at all.
- Only 3.5% of all detected faces are smiling across the entire film.
- At 156 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
- 1,920 unique words spoken out of 5,801 total — a vocabulary richness of 33.1%.
- AI detected 123 unique object types across 63,599 frame-by-frame detections.
- 478 unique cars spotted (3% of frames)
- Posters appear in 3% of frames
- 117 unique birds spotted (2% of frames)
- 141 unique chairs spotted (2% of frames)
- 112 unique ties spotted (2% of frames)
- 120 unique tvs spotted (1% of frames)
- 122 unique trucks spotted (1% of frames)
- 96 unique airplanes spotted (1% of frames)
- 29 unique benchs spotted (0% of frames)
- Features 395 dog appearances
- 54 weapon appearances (0 per minute)
- Fire or explosions visible in 0% of sampled frames
- Smoke or haze detected in 259 frames
DIALOGUE
Words across the runtime
Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.
36% dialogue64% silence / score
5,801
total words
41
words / min
12 · 0.2%
profanity flagged
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