Film Profile · SPIDERMAN-INTO-THE-SPIDERVERSE
Spiderman Into The Spiderverse
Detections81,238
Night Frames56%
Dialogue WPM73
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-97% vs genre
0.9/100
Very Bright
Action Intensity+15% vs genre
52/100
Moderate
People Density+92% vs genre
44/100
Intimate
Indoor / Outdoor
54% indoor
Balanced · 53.8% indoors
Object Diversity
174/100
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.
Spiderman Into The SpiderverseAnimation avg · 4 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.
Temperatureneutral
Saturationvivid
Frames sampled5,603
Film color bandhow the palette shifts across the runtime · 59 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#332C47
31.1%
#6A606F
20.9%
#BE8E80
17.3%
#9D232D
11.2%
#D2C9D5
10.6%
#488DC3
8.9%
Palette by scene type5 dominant colors per context · sampled within scene class
Day scenes
#D6AD80
#DEDCD8
#6AB4B1
#674E52
#DDA12D
Empty scenes
#423148
#7B6A7E
#D1B4AE
#BE3E3C
#489FCB
Night scenes
#212B55
#5C1B27
#536594
#AF4D5A
#CCC4CF
Outdoor scenes
#3E2F47
#817485
#D0BDBE
#BC4742
#388EC2
Romantic scenes
#473647
#70838F
#B74942
#CCB9BA
#A94EDF
Vibrant scenes
#941C2C
#244489
#D27D4B
#35AFCC
#A940CA
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.
SM
Shameik Moore
Miles Morales
7.8m · neutral
JJ
Jake Johnson
Peter B. Parker
6.9m · neutral
HS
Hailee Steinfeld
Gwen Stacy
2.7m · neutral
AI-DISCOVERED FACTS
AI-Discovered Facts — Spiderman Into The Spiderverse (2018)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Despite its colorful animation, "Spider-Man: Into the Spiderverse" rates a shocking 41 out of 100 in darkness, surpassing the average of 3 out of 3 other Animation films.
- 4,573 unique people spotted (68% of frames)
- "miles" is said 49 times — once every 2.4 minutes.
- The longest stretch of silence runs 6 min 27 sec — no dialogue at all.
- Only 4.5% 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.
- 1,951 unique words spoken out of 8,497 total — a vocabulary richness of 23.0%.
- AI detected 174 unique object types across 81,238 frame-by-frame detections.
- 512 unique chairs spotted (6% of frames)
- 520 unique cars spotted (5% of frames)
- 265 unique ties spotted (5% of frames)
- 209 unique books spotted (2% of frames)
- 148 unique tvs spotted (2% of frames)
- Wanted posters appear in 2% of frames
- 67 weapon appearances (1 per minute)
- Fire or explosions visible in 0% of sampled frames
- Smoke or haze detected in 655 frames
- Contains 4 profanities (0.0 per minute)
- Longest silence: 6 minutes of unbroken quiet
- Peak dialogue speed: 200 words per minute
- 12% of frames are close-ups
- Only 4.5% of face detections are smiling
- The film's emotional journey ends on a neutral note
- High color saturation — vivid visual style
DIALOGUE
Words across the runtime
Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.
37% dialogue63% silence / score
8,497
total words
73
words / min
4 · 0.0%
profanity flagged
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