Film Profile · GROUNDHOG-DAY
Groundhog Day
Detections128,045
Night Frames42%
Dialogue WPM83
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-70% vs genre
15.8/100
Very Bright
Action Intensity-89% vs genre
6.8/100
High
People Density-95% vs genre
2.9/100
Social
Indoor / Outdoor
41% indoor
Balanced · 40.6% indoors
Object Diversity
88/100
High
Pacing
1.0 cuts/min
Highly Variable · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
Groundhog DayRomance 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.
Temperatureneutral
Saturationmuted
Frames sampled4,847
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#5D5149
24.7%
#343F4B
23.2%
#586271
18.5%
#4A3224
18.4%
#79808C
10.9%
#A1ACC1
4.3%
Palette by scene type5 dominant colors per context · sampled within scene class
Action scenes
#584D44
#6B6866
#482F1F
#354147
#929BA3
Empty scenes
#687184
#495369
#54413B
#959FB4
#2C3753
Fight scenes
#4A3722
#655443
#776F64
#44504F
#95999F
Night scenes
#4F443B
#626163
#2F3E4F
#482819
#919DAA
Outdoor scenes
#575556
#4B362A
#2E3D4E
#697282
#99A5BA
Vibrant scenes
#274874
#2D63A6
#712D25
#7D5A30
#D77846
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.
BM
Bill Murray
Phil Connors
52.2m · sad
AM
Andie MacDowell
Rita Hanson
28.4m · happy
CE
Chris Elliott
Larry
5.1m · neutral
AI-DISCOVERED FACTS
AI-Discovered Facts — Groundhog Day (1993)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Groundhog Day outpaces the action score of every Romance film, ranking 68 out of 100 above the genre average.
- 4,395 unique people spotted (88% of frames)
- "phil" is said 47 times — once every 2.2 minutes.
- Bill Murray is on screen for 52 of 101 minutes — 52% of the runtime.
- The longest stretch of silence runs 2 min 40 sec — no dialogue at all.
- Only 14.3% of all detected faces are smiling across the entire film.
- The 5 most intense moments all happen within 5 seconds of each other.
- At 125 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
- 2,077 unique words spoken out of 8,345 total — a vocabulary richness of 24.9%.
- AI detected 88 unique object types across 128,045 frame-by-frame detections.
- 816 unique cars spotted (12% of frames)
- 741 unique ties spotted (25% of frames)
- 227 unique cups spotted (7% of frames)
- 293 unique chairs spotted (9% of frames)
- 148 unique potted plants spotted (8% of frames)
- 99 unique clocks spotted (3% of frames)
- 78 unique tvs spotted (2% of frames)
- 82 unique dining tables spotted (5% of frames)
- 212 unique trucks spotted (5% of frames)
- Features 3,905 high-action sequences (13% of the film)
- Features 134 dog appearances
- 8,459 cars spotted (vehicle-heavy film)
- 85 weapon appearances (1 per minute)
- Contains 4 profanities (0.0 per minute)
- Bill Murray dominates the screen — present in 52% of runtime
- 11% 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.
42% dialogue58% silence / score
8,345
total words
83
words / min
4 · 0.0%
profanity flagged
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