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Taxi Driver (1976) movie poster

Film Profile · TAXI-DRIVER

Taxi Driver

1976Crime / DramaCrime1h 54m
Detections108,999
Night Frames53%
Dialogue WPM77
Dom. Emotionneutral
CharactersCompareDeep Dive

GENOME

Movie DNA

Six core dimensions, each scored against the genre baseline.

Darkness-61% vs genre
24.5/100

Bright

Action Intensity+2% vs genre
56/100

Moderate

People Density+21% vs genre
66/100

Social

Indoor / Outdoor
48% indoor

Balanced · 47.9% indoors

Object Diversity
90/100

High

Pacing
0.9 cuts/min

Highly Variable · cuts/min

FINGERPRINT

The full shape, vs. genre

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

DARKNESS65ACTION56DIALOGUE49PEOPLE66VEHICLES16VISUAL68
Taxi DriverCrime 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
0:00 → 114m
02550751000m28m57m85m114m
See every beat →

STRUCTURE

Scene mix by act

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

ACT 1 · SETUP
●outdoor dominates41%
ACT 2 · CONFRONTATION
●outdoor dominates40%
ACT 3 · CLIMAX
●outdoor dominates37%
Full act breakdown →

PEAKS & VALLEYS

When the film pushes — and breathes

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

MOST INTENSE MINUTE
1:04:55
motion 116/100
BREATHING ROOM
3calm stretches
longest 488s at 78:32
All calm sequences · all silences →

CHROMA

Color signature

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

Temperaturewarm
Saturationmuted
Frames sampled5,457
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#4B4535
35.4%
#676856
24.9%
#4D2315
19.1%
#9A8F6F
9.4%
#79A3A2
6.2%
#D1D2BF
5.0%
Palette by scene type5 dominant colors per context · sampled within scene class
Action scenes
#504438
#6F695A
#929784
#521B15
#CFD3C4
Empty scenes
#454337
#696855
#9C8E6D
#C4BE9F
#3287C1
General scenes
#5B5649
#4A2D21
#7A7E74
#9FACA6
#D6D1CF
Night scenes
#484434
#4C2415
#6A614A
#848C71
#B9C5AE
Outdoor scenes
#473021
#5B5340
#5F786F
#989374
#BECABB
Vibrant scenes
#714F2D
#2D8498
#7A1613
#A46D21
#C0AA49

DETECTIONS

What appears on screen most

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

Car15%
Chair11%
Tie9%
Night vision goggles1%
+ 6 more · person in 85% of frames
Every detected object · by category →

ON SCREEN

Cast at a glance

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

RD
Robert De Niro
Travis Bickle
39.1m · neutral
CS
Cybill Shepherd
Betsy
7.6m · neutral
LH
Leonard Harris
Charles Palantine
4.8m · happy
4 CHARACTERS · EMOTION-CODED ANALYSISSee all characters →

AI-DISCOVERED FACTS

AI-Discovered Facts — Taxi Driver (1976)

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

  • Taxi Driver's visually stunning cinematography outshines 6 out of 6 average Crime films, boasting a score 15 points above the genre average of 53 out of 100.
  • 3,302 unique people spotted (85% of frames)
  • "man" is said 48 times — once every 2.4 minutes.
  • Robert De Niro is on screen for 39 of 114 minutes — 34% of the runtime.
  • The longest stretch of silence runs 3 min 20 sec — no dialogue at all.
  • 58 profanity instances across the runtime — roughly one every 118 seconds.
  • Only 8.2% of all detected faces are smiling across the entire film.
  • The 5 most intense moments all happen within 26 seconds of each other.
  • At 117 BPM, the score sets a slow, meditative pace throughout.
  • 1,985 unique words spoken out of 8,751 total — a vocabulary richness of 22.7%.
  • AI detected 90 unique object types across 108,999 frame-by-frame detections.
  • 859 unique cars spotted (15% of frames)
  • 401 unique chairs spotted (11% of frames)
  • 332 unique ties spotted (9% of frames)
  • 192 unique cups spotted (5% of frames)
  • 76 unique dining tables spotted (4% of frames)
  • 94 unique bottles spotted (4% of frames)
  • 68 unique bowls spotted (2% of frames)
  • 42 unique couchs spotted (2% of frames)
  • 110 unique handbags spotted (2% of frames)
  • Features 3,153 high-action sequences (10% of the film)
  • 9,521 cars spotted (vehicle-heavy film)
  • 354 weapon appearances (3 per minute)
  • Shot predominantly with warm tones

DIALOGUE

Words across the runtime

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

42% dialogue58% silence / score
8,751
total words
77
words / min
58 · 0.7%
profanity flagged
Top vocabulary · WPM by act · profanity →

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