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The Wedding Singer (1998) movie poster

Film Profile · THE-WEDDING-SINGER

The Wedding Singer

1998Romance / ComedyRomance1h 40m
Detections100,486
Night Frames71%
Dialogue WPM93
Dom. Emotionneutral
CharactersCompareDeep Dive

GENOME

Movie DNA

Six core dimensions, each scored against the genre baseline.

Darkness-75% vs genre
13.4/100

Very Bright

Action Intensity+4% vs genre
61/100

High

People Density+12% vs genre
70/100

Social

Indoor / Outdoor
79% indoor

Indoor · 78.5% indoors

Object Diversity
65/100

High

Pacing
1.0 cuts/min

Highly Variable · cuts/min

FINGERPRINT

The full shape, vs. genre

Six axes overlaid against the average for this film's primary genre.

DARKNESS53ACTION61DIALOGUE48PEOPLE70VEHICLES5VISUAL76
The Wedding SingerRomance 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
0:00 → 100m
02550751000m25m50m75m100m
See every beat →

STRUCTURE

Scene mix by act

Three-act split — how the visual tone shifts from setup through climax.

ACT 1 · SETUP
●outdoor dominates48%
ACT 2 · CONFRONTATION
●outdoor dominates46%
ACT 3 · CLIMAX
●outdoor dominates42%
Full act breakdown →

PEAKS & VALLEYS

When the film pushes — and breathes

The single most-intense minute and longest stretch of stillness.

MOST INTENSE MINUTE
38:51
motion 107/100
BREATHING ROOM
3calm stretches
longest 379.1s at 18:35
All calm sequences · all silences →

CHROMA

Color signature

Frame-sampled palette — temperature, saturation, and how the look shifts across the runtime.

Temperaturewarm
Saturationmuted
Frames sampled4,804
Film color bandhow the palette shifts across the runtime · 59 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#4D2A27
33.5%
#66504A
28.5%
#897A73
16.1%
#28336C
9.7%
#A0ABAB
8.1%
#E5EAE5
4.0%
Palette by scene type5 dominant colors per context · sampled within scene class
Action scenes
#55413F
#796764
#4E201E
#9D948B
#DFDDD2
General scenes
#4E2D29
#67534E
#897A72
#B2AFA1
#E8EBE4
Night scenes
#512927
#6F5C5C
#232662
#B5AFAC
#3B75D9
Outdoor scenes
#46272C
#5F4E4A
#91827A
#D1D5D0
#365AB6
Romantic scenes
#544743
#7A655D
#4B2A26
#9F9994
#E3E8E7
Vibrant scenes
#854C3D
#7D1224
#2C4779
#331DC3
#39BAD9

DETECTIONS

What appears on screen most

The four most-present objects — full breakdown with categories in Deep Dive.

Tie15%
Chair12%
Beer1%
Potted plant8%
+ 6 more · person in 91% of frames
Every detected object · by category →

ON SCREEN

Cast at a glance

Top 3 actors by screen time, color-coded by dominant emotion.

AS
Adam Sandler
Robbie Hart
32.0m · disgust
DB
Drew Barrymore
Julia Sullivan
20.1m · happy
AC
Allen Covert
Sammy
7.2m · neutral
4 CHARACTERS · EMOTION-CODED ANALYSISSee all characters →

AI-DISCOVERED FACTS

AI-Discovered Facts — The Wedding Singer (1998)

Insights surfaced by machine analysis of every frame, audio track, and object.

  • The Wedding Singer exceeds its genre's average dialogue by a whopping 10 lines, topping all but one Romance film with more than 48 lines of scripted conversation out of 100.
  • 3,817 unique people spotted (91% of frames)
  • "wedding" is said 34 times — once every 2.9 minutes.
  • Adam Sandler is on screen for 32 of 100 minutes — 32% of the runtime.
  • The longest stretch of silence runs 5 min 9 sec — no dialogue at all.
  • 31 profanity instances across the runtime — roughly one every 194 seconds.
  • Only 20.0% 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.
  • 1,980 unique words spoken out of 9,294 total — a vocabulary richness of 21.3%.
  • AI detected 65 unique object types across 100,486 frame-by-frame detections.
  • 691 unique chairs spotted (12% of frames)
  • 739 unique ties spotted (15% of frames)
  • 440 unique potted plants spotted (8% of frames)
  • 251 unique cups spotted (4% of frames)
  • 403 unique wine glasses spotted (4% of frames)
  • 150 unique cars spotted (4% of frames)
  • 129 unique dining tables spotted (5% of frames)
  • 72 unique bottles spotted (2% of frames)
  • 70 unique vases spotted (2% of frames)
  • Features 2,599 high-action sequences (9% of the film)
  • 53 weapon appearances (1 per minute)
  • Contains 31 profanities (0.3 per minute)
  • Longest silence: 5 minutes of unbroken quiet
  • 25% 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.

48% dialogue53% silence / score
9,294
total words
93
words / min
31 · 0.3%
profanity flagged
Top vocabulary · WPM by act · profanity →

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