Film Profile · MIDSOMMAR
Midsommar
Detections210,670
Night Frames34%
Dialogue WPM44
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-100% vs genre
0/100
Very Bright
Action Intensity+48% vs genre
72/100
Very High
People Density+104% vs genre
100/100
Crowded
Indoor / Outdoor
95% indoor
Indoor · 94.9% indoors
Object Diversity
135/100
High
Pacing
0.7 cuts/min
Highly Variable · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
MidsommarHorror 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 sampled7,054
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#938B77
19.6%
#6E6F65
19.5%
#3F403E
19.4%
#B1ABA7
16.2%
#665A43
14.0%
#DDD6D8
11.3%
Palette by scene type5 dominant colors per context · sampled within scene class
Action scenes
#858069
#5F6152
#A79F98
#3C4340
#D9D1D9
Action_crowd scenes
#797865
#4B5147
#9C9481
#B0ABAC
#DFD7E1
Day scenes
#C2BDB5
#E4DDDB
#A19B91
#7E7867
#494D4A
Night scenes
#414345
#4D2D1B
#6F5E4F
#93867D
#CCC2BD
Outdoor scenes
#89836F
#676352
#42413B
#ACA59F
#D9D3D4
Vibrant scenes
#6B5737
#99713A
#83381D
#CB9438
#E8B35F
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.
FP
Florence Pugh
Dani
28.4m · sad
JR
Jack Reynor
Christian
23.7m · angry
WJ
William Jackson Harper
Josh
14.5m · fear
AI-DISCOVERED FACTS
AI-Discovered Facts — Midsommar (2019)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Midsommar surprisingly packs more action than a staggering 7 out of 7 Horror films with an impressive 72 out of 100, compared to the genre average of 45.
- 5,887 unique people spotted (86% of frames)
- "thank" is said 40 times — once every 3.7 minutes.
- Florence Pugh is on screen for 28 of 147 minutes — 19% of the runtime.
- The longest stretch of silence runs 8 min 57 sec — no dialogue at all.
- 29 profanity instances across the runtime — roughly one every 300 seconds.
- Only 8.7% of all detected faces are smiling across the entire film.
- The 5 most intense moments all happen within 15 seconds of each other.
- At 99 BPM, the score sets a slow, meditative pace throughout.
- 1,676 unique words spoken out of 6,494 total — a vocabulary richness of 25.8%.
- AI detected 135 unique object types across 210,670 frame-by-frame detections.
- 452 unique cups spotted (9% of frames)
- 171 unique chairs spotted (6% of frames)
- 173 unique wine glasses spotted (4% of frames)
- 114 unique beds spotted (4% of frames)
- 100 unique dining tables spotted (6% of frames)
- 65 unique potted plants spotted (4% of frames)
- 33 unique couchs spotted (3% of frames)
- 57 unique bowls spotted (2% of frames)
- 21% of scenes feature high-intensity action
- Features 102 dog appearances
- Fire or explosions visible in 0% of sampled frames
- Smoke or haze detected in 106 frames
- Contains 29 profanities (0.2 per minute)
- Longest silence: 9 minutes of unbroken quiet
- 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
6,494
total words
44
words / min
29 · 0.4%
profanity flagged
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