Film Profile · DIE-HARD
Die Hard
Detections85,840
Night Frames98%
Dialogue WPM57
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-39% vs genre
39.7/100
Bright
Action Intensity+1% vs genre
51/100
Moderate
People Density-1% vs genre
51/100
Intimate
Indoor / Outdoor
54% indoor
Balanced · 53.9% indoors
Object Diversity
75/100
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.
Die HardAction 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 sampled6,336
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#323949
32.8%
#4C2E27
26.2%
#595157
22.3%
#687892
8.0%
#CBD1D4
5.6%
#A67A64
5.2%
Palette by scene type5 dominant colors per context · sampled within scene class
Empty scenes
#404351
#9E6343
#583121
#9B8986
#DACBBC
Intimate scenes
#463833
#28334B
#9C8171
#605455
#653722
Night scenes
#2F3749
#4D302A
#54525C
#827D87
#CCD1D6
Outdoor scenes
#453536
#63595F
#283955
#898895
#D0D4D5
Suspense scenes
#483D3D
#442F27
#635556
#8D7A78
#C6C5C5
Vibrant scenes
#20467F
#7D2B23
#AF693D
#569AC6
#05AAC2
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.
AR
Alan Rickman
Hans Gruber
13.4m · angry
BW
Bruce Willis
John McClane
10.6m · sad
RV
Reginald VelJohnson
Al Powell
7.5m · fear
AI-DISCOVERED FACTS
AI-Discovered Facts — Die Hard (1988)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Die Hard exceeds the close-up usage average of all Action films by a startling margin of 33%.
- 3,624 unique people spotted (82% of frames)
- "man" is said 31 times — once every 4.3 minutes.
- The longest stretch of silence runs 4 min 1 sec — no dialogue at all.
- 62 profanity instances across the runtime — roughly one every 128 seconds.
- Only 5.7% of all detected faces are smiling across the entire film.
- At 125 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
- 2,053 unique words spoken out of 7,563 total — a vocabulary richness of 27.1%.
- AI detected 75 unique object types across 85,840 frame-by-frame detections.
- 654 unique ties spotted (17% of frames)
- 288 unique chairs spotted (5% of frames)
- 248 unique cars spotted (4% of frames)
- 211 unique cell phones spotted (4% of frames)
- 111 unique potted plants spotted (3% of frames)
- 105 unique tvs spotted (2% of frames)
- 104 unique trucks spotted (2% of frames)
- 62 unique bottles spotted (1% of frames)
- 97.6% of the movie takes place at night
- Features 212 dog appearances
- Contains 62 profanities (0.5 per minute)
- Longest silence: 4 minutes of unbroken quiet
- 57% of frames are close-ups
- The film's emotional journey ends on a neutral note
DIALOGUE
Words across the runtime
Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.
51% dialogue49% silence / score
7,563
total words
57
words / min
62 · 0.8%
profanity flagged
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