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Wake Up Dead Man A Knives Out Mystery

Film Profile · WAKE-UP-DEAD-MAN-A-KNIVES-OUT-MYSTERY

Wake Up Dead Man A Knives Out Mystery

2025Thriller / Mystery / ComedyThriller2h 26m
Detections100,491
Night Frames82%
Dialogue WPM88
Dom. Emotionneutral
CharactersCompareDeep Dive

GENOME

Movie DNA

Six core dimensions, each scored against the genre baseline.

Darkness-70% vs genre
22/100

Bright

Action Intensity-91% vs genre
4.9/100

Moderate

People Density-97% vs genre
1.6/100

Intimate

Indoor / Outdoor
89% indoor

Indoor · 89.1% indoors

Object Diversity
72/100

High

Pacing
0.7 cuts/min

Dynamic · cuts/min

FINGERPRINT

The full shape, vs. genre

Six axes overlaid against the average for this film's primary genre.

DARKNESS82ACTION49DIALOGUE48PEOPLE47VEHICLES2VISUAL100
Wake Up Dead Man A Knives Out MysteryThriller 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
0:00 → 146m
02550751000m37m73m110m146m
See every beat →

STRUCTURE

Scene mix by act

Three-act split — how the visual tone shifts from setup through climax.

ACT 1 · SETUP
●outdoor dominates44%
ACT 2 · CONFRONTATION
●outdoor dominates38%
ACT 3 · CLIMAX
●outdoor dominates41%
Full act breakdown →

PEAKS & VALLEYS

When the film pushes — and breathes

The single most-intense minute and longest stretch of stillness.

MOST INTENSE MINUTE
21:42
motion 67/100
BREATHING ROOM
3calm stretches
longest 771.2s at 49:23
All calm sequences · all silences →

CHROMA

Color signature

Frame-sampled palette — temperature, saturation, and how the look shifts across the runtime.

Temperaturewarm
Saturationmuted
Frames sampled7,021
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#52493B
26.0%
#716752
20.8%
#492C1C
20.0%
#8C8670
14.9%
#AEAB92
10.4%
#D1CEC0
7.8%
Palette by scene type5 dominant colors per context · sampled within scene class
Empty scenes
#706451
#49412C
#858072
#A6A48F
#CBC9BA
General scenes
#636054
#4C3A29
#918C75
#C8C5B1
#81663C
Intimate scenes
#4A2E1E
#5E5F59
#755232
#908B78
#C9C7B4
Night scenes
#4A443A
#4E2818
#72634F
#99937B
#CBC9B9
Outdoor scenes
#5F5443
#473324
#7F7864
#A6A28B
#CECCBD
Vibrant scenes
#6C452C
#8E653A
#80371D
#5B783A
#B79F4C

DETECTIONS

What appears on screen most

The four most-present objects — full breakdown with categories in Deep Dive.

Tie16%
Chair11%
Bench6%
Couch4%
+ 6 more · person in 87% of frames
Every detected object · by category →

ON SCREEN

Cast at a glance

Top 3 actors by screen time, color-coded by dominant emotion.

JO
Josh O'Connor
Fr. Jud Duplenticy
35.7m · neutral
DC
Daniel Craig
Benoit Blanc
24.3m · angry
GC
Glenn Close
Martha Delacroix
12.8m · sad
4 CHARACTERS · EMOTION-CODED ANALYSISSee all characters →

DIALOGUE

Words across the runtime

Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.

48% dialogue52% silence / score
12,915
total words
88
words / min
48 · 0.4%
profanity flagged
Top vocabulary · WPM by act · profanity →