Film Profile · NO-COUNTRY-FOR-OLD-MEN
No Country For Old Men
Detections96,010
Night Frames60%
Dialogue WPM51
Dom. Emotionangry
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-95% vs genre
2.9/100
Very Bright
Action Intensity0% vs genre
55/100
Moderate
People Density-34% vs genre
36/100
Intimate
Indoor / Outdoor
54% indoor
Balanced · 54.1% indoors
Object Diversity
147/100
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.
No Country For Old MenCrime 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.
Temperaturewarm
Saturationmuted
Frames sampled5,859
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#493C27
25.1%
#6A6145
19.7%
#888465
16.5%
#ABA680
14.7%
#C7C9A7
13.2%
#E6E8CE
10.8%
Palette by scene type5 dominant colors per context · sampled within scene class
Day scenes
#C7CDB1
#BAAE84
#E4E7CF
#8A8161
#584C38
Empty scenes
#A79C77
#7B6F51
#524229
#D4D4B5
#305756
General scenes
#4C3F2A
#6D684D
#919170
#B7BC99
#E3E6CB
Night scenes
#51381B
#7D6B46
#364F4B
#A5A37F
#E4E2C3
Outdoor scenes
#4A3F2A
#716A4D
#9A9471
#BEBE9A
#E1E3C8
Vibrant scenes
#7B5C30
#6F431E
#9B773B
#2F7E80
#C7A54D
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.
JB
Josh Brolin
Llewelyn Moss
16.1m · angry
JB
Javier Bardem
Anton Chigurh
13.0m · angry
TL
Tommy Lee Jones
Ed Tom Bell
12.5m · sad
AI-DISCOVERED FACTS
AI-Discovered Facts — No Country For Old Men (2007)
Insights surfaced by machine analysis of every frame, audio track, and object.
- In stark contrast to traditional Crime dramas, "No Country For Old Men" boasts an astonishing 18 vehicles on screen, eclipsing the genre average by 10.
- 1,570 unique people spotted (78% of frames)
- "sir" is said 36 times — once every 3.4 minutes.
- The longest stretch of silence runs 9 min 20 sec — no dialogue at all.
- Only 3.0% of all detected faces are smiling across the entire film.
- At 117 BPM, the score sets a slow, meditative pace throughout.
- 1,637 unique words spoken out of 6,186 total — a vocabulary richness of 26.5%.
- AI detected 147 unique object types across 96,010 frame-by-frame detections.
- 467 unique chairs spotted (9% of frames)
- 611 unique cars spotted (12% of frames)
- Top hats appear in 8% of frames
- 265 unique trucks spotted (6% of frames)
- 146 unique dining tables spotted (4% of frames)
- 166 unique bottles spotted (4% of frames)
- 137 unique cups spotted (4% of frames)
- Features 255 dog appearances
- 7,228 cars spotted (vehicle-heavy film)
- 578 weapon appearances (5 per minute)
- Contains 16 profanities (0.1 per minute)
- Longest silence: 9 minutes of unbroken quiet
- Peak dialogue speed: 210 words per minute
- Angry is the dominant emotion (29% of face detections)
- 23% of frames are close-ups
- Only 3.0% of face detections are smiling
- The film's emotional journey ends on a neutral note
- 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.
31% dialogue69% silence / score
6,186
total words
51
words / min
16 · 0.3%
profanity flagged
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