Film Profile · TOP-GUN-MAVERICK
Top Gun Maverick
Detections74,638
Night Frames43%
Dialogue WPM58
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-85% vs genre
9.8/100
Very Bright
Action Intensity-90% vs genre
4.9/100
Moderate
People Density-97% vs genre
1.4/100
Intimate
Indoor / Outdoor
86% indoor
Indoor · 85.6% indoors
Object Diversity
104/100
High
Pacing
0.8 cuts/min
Steady · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
Top Gun MaverickAction avg · 26 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 sampled6,246
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#533D25
22.4%
#7B6E50
20.0%
#C4D3C0
16.2%
#2E4C5D
14.9%
#7B999D
14.6%
#B3A175
11.9%
Palette by scene type5 dominant colors per context · sampled within scene class
Day scenes
#A9AC93
#CBD6BC
#8EB8BE
#7A8981
#525B52
Empty scenes
#3F463D
#859B98
#4D6C76
#9C7D45
#BACCBB
Night scenes
#513A24
#72664D
#989681
#1D415D
#CED4BE
Outdoor scenes
#403B34
#BBCCBC
#756446
#A29978
#557B8A
Romantic scenes
#4B4334
#8A9F9E
#496771
#9E8653
#C6D3BF
Vibrant scenes
#845F30
#BD964B
#763212
#356781
#034E8C
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.
TC
Tom Cruise
Capt. Pete 'Maverick' Mitchell
28.3m · angry
MT
Miles Teller
Lt. Bradley 'Rooster' Bradshaw
7.9m · neutral
JC
Jennifer Connelly
Penny Benjamin
7.0m · happy
AI-DISCOVERED FACTS
AI-Discovered Facts — Top Gun Maverick (2022)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Top Gun Maverick outperforms 24 out of 25 action films in close-up usage, boasting a staggering 43% compared to the genre average of 24%.
- 3,556 unique people spotted (74% of frames)
- "sir" is said 47 times — once every 2.8 minutes.
- Tom Cruise is on screen for 28 of 130 minutes — 22% of the runtime.
- The longest stretch of silence runs 9 min — no dialogue at all.
- 42 profanity instances across the runtime — roughly one every 188 seconds.
- Only 11.5% of all detected faces are smiling across the entire film.
- At 144 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
- 2,084 unique words spoken out of 7,604 total — a vocabulary richness of 27.4%.
- AI detected 104 unique object types across 74,638 frame-by-frame detections.
- 695 unique airplanes spotted (12% of frames)
- 606 unique chairs spotted (7% of frames)
- Fighter jets appear in 4% of frames
- Posters appear in 3% of frames
- 91 unique cups spotted (2% of frames)
- 93 unique tvs spotted (1% of frames)
- 70 unique birds spotted (1% of frames)
- Armored vehicles appear in 2% of frames
- 67 unique clocks spotted (1% of frames)
- Contains 42 profanities (0.3 per minute)
- Longest silence: 9 minutes of unbroken quiet
- Peak dialogue speed: 202 words per minute
- 43% of frames are close-ups
- 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.
34% dialogue66% silence / score
7,604
total words
58
words / min
42 · 0.6%
profanity flagged
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