Film Profile · EVERYTHING-EVERYWHERE-ALL-AT-ONCE
Everything Everywhere All At Once
Detections109,370
Night Frames79%
Dialogue WPM41
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-64% vs genre
23.2/100
Bright
Action Intensity-5% vs genre
48/100
Moderate
People Density+15% vs genre
59/100
Intimate
Indoor / Outdoor
73% indoor
Indoor · 73.1% indoors
Object Diversity
110/100
High
Pacing
0.7 cuts/min
Dynamic · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
Everything Everywhere All At OnceAction avg · 28 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 sampled6,681
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#7B7564
21.1%
#4E2F1E
18.3%
#725438
17.3%
#A19D8C
16.9%
#374947
15.4%
#CED5D3
11.0%
Palette by scene type5 dominant colors per context · sampled within scene class
Empty scenes
#A7A89E
#524539
#8E775D
#DBD9CF
#5A7F8A
General scenes
#8A7A61
#6D5B42
#4E3A29
#A79E87
#CFD7CA
Night scenes
#3D362D
#654F39
#797564
#A4A290
#D2E0DC
Outdoor scenes
#43392E
#6D5A43
#837E6E
#A8A89B
#D3DBDB
Romantic scenes
#77654E
#4E3D2D
#8F8572
#ABA99F
#D4DDDE
Vibrant scenes
#763C1F
#906036
#C7934A
#255E76
#4190A3
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.
MY
Michelle Yeoh
Evelyn Wang
50.0m · sad
KH
Ke Huy Quan
Waymond Wang
24.3m · sad
SH
Stephanie Hsu
Joy Wang / Jobu Tupaki
16.1m · sad
AI-DISCOVERED FACTS
AI-Discovered Facts — Everything Everywhere All At Once (2022)
Insights surfaced by machine analysis of every frame, audio track, and object.
- An action film, Everything Everywhere All At Once, boasts more dialogue than all other 27 action films, with a script averaging 62 lines of dialogue per 100 characters, a stark contrast to its genre's average 35.
- 4,875 unique people spotted (86% of frames)
- "經常在家裡" is said 35 times — once every 4.0 minutes.
- Michelle Yeoh is on screen for 50 of 139 minutes — 36% of the runtime.
- The longest stretch of silence runs 7 min 2 sec — no dialogue at all.
- Only 4.6% of all detected faces are smiling across the entire film.
- At 134 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
- 1,518 unique words spoken out of 5,756 total — a vocabulary richness of 26.4%.
- AI detected 110 unique object types across 109,370 frame-by-frame detections.
- 688 unique chairs spotted (10% of frames)
- 337 unique potted plants spotted (6% of frames)
- 246 unique cars spotted (3% of frames)
- 322 unique bottles spotted (3% of frames)
- 194 unique tvs spotted (5% of frames)
- 240 unique ties spotted (3% of frames)
- 176 unique cups spotted (3% of frames)
- 127 unique laptops spotted (2% of frames)
- 103 unique bowls spotted (2% of frames)
- Features 192 dog appearances
- 67 weapon appearances (0 per minute)
- Contains 1 profanities (0.0 per minute)
- Longest silence: 7 minutes of unbroken quiet
- 21% of frames are close-ups
- Only 4.6% 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.
62% dialogue38% silence / score
5,756
total words
41
words / min
1 · 0.0%
profanity flagged
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