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The Matrix (1999) movie poster

Film Profile · THE-MATRIX

The Matrix

1999Action / Sci-FiAction2h 16m
Detections64,141
Night Frames87%
Dialogue WPM46
Dom. Emotionneutral
CharactersCompareDeep Dive

GENOME

Movie DNA

Six core dimensions, each scored against the genre baseline.

Darkness-49% vs genre
33.3/100

Bright

Action Intensity-15% vs genre
43/100

Moderate

People Density-27% vs genre
37/100

Intimate

Indoor / Outdoor
75% indoor

Indoor · 74.9% indoors

Object Diversity
80/100

High

Pacing
0.7 cuts/min

Methodical · cuts/min

FINGERPRINT

The full shape, vs. genre

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

DARKNESS73ACTION43DIALOGUE38PEOPLE37VEHICLES1VISUAL36
The MatrixAction 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
0:00 → 136m
02550751000m34m68m102m136m
See every beat →

STRUCTURE

Scene mix by act

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

ACT 1 · SETUP
●outdoor dominates37%
ACT 2 · CONFRONTATION
●outdoor dominates38%
ACT 3 · CLIMAX
●outdoor dominates39%
Full act breakdown →

PEAKS & VALLEYS

When the film pushes — and breathes

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

MOST INTENSE MINUTE
57:27
motion 77/100
BREATHING ROOM
3calm stretches
longest 2373.2s at 17:00
All calm sequences · all silences →

CHROMA

Color signature

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

Temperaturecool
Saturationmuted
Frames sampled6,537
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#658268
26.0%
#4F4235
22.4%
#29524A
21.8%
#DDEDE0
13.1%
#B0A188
9.7%
#74BDAE
7.0%
Palette by scene type5 dominant colors per context · sampled within scene class
Day scenes
#EEF7F6
#BFE2D4
#51454A
#779085
#B3B29F
Empty scenes
#354C48
#548D7D
#8DC3AF
#D7EBD3
#B97657
Night scenes
#334239
#5F5A4C
#8F8A7B
#3A8A7B
#C3D4C5
Outdoor scenes
#3B4238
#7D8363
#416C61
#D9EADA
#8AB09E
Romantic scenes
#434339
#9AA78F
#857358
#467972
#D0EACD
Vibrant scenes
#2A7869
#3BB092
#7A4632
#57D4C7
#BE704D

DETECTIONS

What appears on screen most

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

Tie9%
Tv3%
Chair3%
Cell phone2%
+ 6 more · person in 81% of frames
Every detected object · by category →

ON SCREEN

Cast at a glance

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

KR
Keanu Reeves
Neo
32.6m · angry
LF
Laurence Fishburne
Morpheus
15.1m · angry
CM
Carrie-Anne Moss
Trinity
10.6m · neutral
4 CHARACTERS · EMOTION-CODED ANALYSISSee all characters →

AI-DISCOVERED FACTS

AI-Discovered Facts — The Matrix (1999)

Insights surfaced by machine analysis of every frame, audio track, and object.

  • The Matrix boasts a close-up rate 16 percentage points higher than the average action film, outpacing 24 out of 27 other Action films.
  • 3,004 unique people spotted (81% of frames)
  • "matrix" is said 31 times — once every 4.4 minutes.
  • Keanu Reeves is on screen for 33 of 136 minutes — 24% of the runtime.
  • The longest stretch of silence runs 7 min 37 sec — no dialogue at all.
  • Only 1.9% of all detected faces are smiling across the entire film.
  • At 134 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
  • 1,625 unique words spoken out of 6,245 total — a vocabulary richness of 26.0%.
  • AI detected 80 unique object types across 64,141 frame-by-frame detections.
  • 415 unique ties spotted (9% of frames)
  • 277 unique tvs spotted (3% of frames)
  • 175 unique chairs spotted (3% of frames)
  • 148 unique cell phones spotted (2% of frames)
  • 55 unique books spotted (1% of frames)
  • 56 unique bowls spotted (1% of frames)
  • 92 unique cars spotted (1% of frames)
  • 72 unique couchs spotted (1% of frames)
  • 41 unique cups spotted (1% of frames)
  • Contains 19 profanities (0.1 per minute)
  • Longest silence: 8 minutes of unbroken quiet
  • 40% of frames are close-ups
  • Only 1.9% of face detections are smiling
  • The film's emotional journey ends on a neutral note
  • Shot predominantly with cool tones

DIALOGUE

Words across the runtime

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

38% dialogue62% silence / score
6,245
total words
46
words / min
19 · 0.3%
profanity flagged
Top vocabulary · WPM by act · profanity →

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