Film Profile · WE-LIVE-IN-TIME
We Live In Time
Detections91,595
Night Frames53%
Dialogue WPM52
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-100% vs genre
0/100
Very Bright
Action Intensity-3% vs genre
56/100
Moderate
People Density-15% vs genre
52/100
Intimate
Indoor / Outdoor
84% indoor
Indoor · 83.9% indoors
Object Diversity
75/100
High
Pacing
0.9 cuts/min
Dynamic · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
We Live In TimeRomance avg · 8 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 sampled5,172
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#52391F
30.5%
#73654E
22.7%
#334E52
15.0%
#6C9396
12.1%
#A69576
10.2%
#C2CEC9
9.6%
Palette by scene type5 dominant colors per context · sampled within scene class
Fight scenes
#523C29
#7B6A54
#8A9088
#B6A992
#E6E9E0
General scenes
#533C25
#72634C
#929283
#C6CCC0
#1E5C6D
Night scenes
#523314
#8D683B
#3D4744
#618082
#C9CCBD
Outdoor scenes
#483A26
#685D49
#9C8D71
#58848A
#B6C7C4
Romantic scenes
#564028
#737163
#395355
#87A09B
#CCD5D2
Vibrant scenes
#6F441D
#865E30
#1C6781
#BF8C3F
#46A0BD
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.
AG
Andrew Garfield
Tobias Durand
37.1m · sad
FP
Florence Pugh
Almut Brühl
35.1m · sad
LB
Lee Braithwaite
Jade
4.2m · neutral
AI-DISCOVERED FACTS
AI-Discovered Facts — We Live In Time (2024)
Insights surfaced by machine analysis of every frame, audio track, and object.
- We Live In Time packs more than 3 times the profanity per minute of a typical Romance film.
- 2,626 unique people spotted (91% of frames)
- "sorry" is said 48 times — once every 2.2 minutes.
- Andrew Garfield is on screen for 37 of 108 minutes — 34% of the runtime.
- The longest stretch of silence runs 6 min 11 sec — no dialogue at all.
- Only 11.9% of all detected faces are smiling across the entire film.
- At 110 BPM, the score sets a slow, meditative pace throughout.
- 1,605 unique words spoken out of 5,597 total — a vocabulary richness of 28.7%.
- AI detected 75 unique object types across 91,595 frame-by-frame detections.
- 584 unique chairs spotted (11% of frames)
- 321 unique potted plants spotted (10% of frames)
- 471 unique bottles spotted (6% of frames)
- 361 unique cups spotted (6% of frames)
- 291 unique bowls spotted (5% of frames)
- 162 unique cars spotted (3% of frames)
- 79 unique beds spotted (4% of frames)
- 93 unique dining tables spotted (3% of frames)
- 418 weapon appearances (4 per minute)
- Only 29% of this film is spoken dialogue
- Contains 51 profanities (0.5 per minute)
- Longest silence: 6 minutes of unbroken quiet
- 54% 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.
29% dialogue71% silence / score
5,597
total words
52
words / min
51 · 0.9%
profanity flagged
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