Film Profile · AVATAR
Avatar
Detections104,651
Night Frames23%
Dialogue WPM41
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-100% vs genre
0.2/100
Very Bright
Action Intensity-88% vs genre
4.9/100
Moderate
People Density-96% vs genre
1.6/100
Intimate
Indoor / Outdoor
58% indoor
Balanced · 58.4% indoors
Object Diversity
118/100
High
Pacing
0.6 cuts/min
Steady · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
AvatarSci-Fi avg · 9 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.
Temperaturecool
Saturationmuted
Frames sampled8,544
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#2E3C45
41.1%
#3C5D7F
18.0%
#726E5B
15.0%
#8395A0
13.4%
#ACC0CB
7.8%
#E4ECEB
4.9%
Palette by scene type5 dominant colors per context · sampled within scene class
Day scenes
#B7CBCF
#7E9FA0
#EEF3F1
#4C5F63
#BA8E60
Empty scenes
#3C4546
#5F6E71
#909490
#B4BEC0
#E2EAE9
Night scenes
#1C334C
#3C5A70
#57412A
#6E8CA1
#C6D6DC
Outdoor scenes
#22394F
#4E677A
#554B37
#8F9C9F
#D0DCE1
Romantic scenes
#313D46
#3C5680
#7B8177
#7C8ECE
#C9D4DE
Vibrant scenes
#264B7A
#4F62B8
#825025
#4EB1C5
#C0A34A
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.
SW
Sam Worthington
Jake Sully
15.7m · angry
SL
Stephen Lang
Colonel Miles Quaritch
7.2m · angry
SW
Sigourney Weaver
Dr. Grace Augustine
7.0m · angry
AI-DISCOVERED FACTS
AI-Discovered Facts — Avatar (2009)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Avatar uniquely boasts a whopping 60% daylight scenes, dwarfing the Sci-Fi genre average by a landslide 21 percentage points.
- 6,059 unique people spotted (69% of frames)
- "good" is said 33 times — once every 5.4 minutes.
- The longest stretch of silence runs 7 min 53 sec — no dialogue at all.
- 34 profanity instances across the runtime — roughly one every 316 seconds.
- Only 2.2% of all detected faces are smiling across the entire film.
- At 125 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
- 2,080 unique words spoken out of 7,286 total — a vocabulary richness of 28.5%.
- AI detected 118 unique object types across 104,651 frame-by-frame detections.
- 474 unique birds spotted (5% of frames)
- 257 unique airplanes spotted (3% of frames)
- 369 unique horses spotted (2% of frames)
- 227 unique chairs spotted (2% of frames)
- 253 unique tvs spotted (2% of frames)
- Armored vehicles appear in 2% of frames
- 186 unique elephants spotted (2% of frames)
- Helicopters appear in 1% of frames
- 86 unique bottles spotted (1% of frames)
- Features 685 dog appearances
- 134 weapon appearances (1 per minute)
- Fire or explosions visible in 0% of sampled frames
- Smoke or haze detected in 239 frames
- Contains 34 profanities (0.2 per minute)
- Longest silence: 8 minutes of unbroken quiet
- 15% of frames are close-ups
- Only 2.2% 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.
37% dialogue63% silence / score
7,286
total words
41
words / min
34 · 0.5%
profanity flagged
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