Film Profile · IT
It
Detections87,780
Night Frames68%
Dialogue WPM35
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-58% vs genre
24.8/100
Bright
Action Intensity-9% vs genre
44/100
Moderate
People Density+4% vs genre
51/100
Intimate
Indoor / Outdoor
46% indoor
Balanced · 46.1% indoors
Object Diversity
79/100
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.
ItHorror 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 sampled6,460
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#444D3A
25.6%
#6C664F
23.6%
#868371
18.1%
#4A331F
14.8%
#A7A697
11.9%
#D1D0C9
6.1%
Palette by scene type5 dominant colors per context · sampled within scene class
Empty scenes
#63644D
#808474
#454622
#3D4A3F
#ACB4A9
Intimate scenes
#645B44
#3A463A
#4C331E
#888673
#B5B9B3
Night scenes
#595744
#502E1C
#31433E
#7E7B6C
#BABAB1
Outdoor scenes
#423E2B
#605D46
#7F7C68
#A2A090
#CECDC6
Romantic scenes
#746C54
#414E33
#9A917E
#5A342B
#C4C3BC
Vibrant scenes
#6D6830
#773A2F
#770C1A
#A98B47
#20656A
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.
JM
Jaeden Martell
Bill Denbrough
20.6m · sad
SL
Sophia Lillis
Beverly Marsh
13.7m · sad
WO
Wyatt Oleff
Stanley Uris
10.8m · neutral
AI-DISCOVERED FACTS
AI-Discovered Facts — It (2017)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Horror films typically showcase just 3 vehicles per 100, but our film astonishingly exceeds this average by a staggering 3 vehicles, outdoing 6 out of 7 competitors in the process.
- 4,326 unique people spotted (80% of frames)
- "georgie" is said 19 times — once every 7.1 minutes.
- Jaeden Martell is on screen for 21 of 135 minutes — 15% of the runtime.
- The longest stretch of silence runs 6 min 58 sec — no dialogue at all.
- 53 profanity instances across the runtime — roughly one every 154 seconds.
- Only 4.4% 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.
- 1,443 unique words spoken out of 4,762 total — a vocabulary richness of 30.3%.
- AI detected 79 unique object types across 87,780 frame-by-frame detections.
- 476 unique cars spotted (6% of frames)
- 311 unique chairs spotted (4% of frames)
- 260 unique bottles spotted (2% of frames)
- 247 unique bicycles spotted (3% of frames)
- 274 unique backpacks spotted (4% of frames)
- 113 unique books spotted (2% of frames)
- 128 unique trucks spotted (1% of frames)
- 50 unique beds spotted (1% of frames)
- 49 unique potted plants spotted (1% of frames)
- Features 158 dog appearances
- 3,673 cars spotted (vehicle-heavy film)
- 86 weapon appearances (1 per minute)
- Contains 53 profanities (0.4 per minute)
- Longest silence: 7 minutes of unbroken quiet
- 12% of frames are close-ups
- Only 4.4% 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.
30% dialogue70% silence / score
4,762
total words
35
words / min
53 · 1.1%
profanity flagged
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