← Back to ShootCleaner

ShootCleaner for
Wedding Photographers

Process entire wedding galleries in minutes with AI that understands mixed lighting, skin tones, and the chaos of wedding day photography.

The Wedding Photography Challenge

Weddings are brutal on post-processing. You shoot 2000 photos across 10+ hours. Church tungsten. Outdoor sunset. Reception hall LED uplighting. Dark dance floor with colored DJ lights. Every scene is different, and your clients expect perfection.

What Makes ShootCleaner Perfect for Weddings

1. Handles Mixed Lighting Like a Pro

ShootCleaner's AI recognizes different lighting scenarios and adjusts automatically:

  • Church tungsten: Removes orange casts while preserving warmth
  • Outdoor natural light: Balances exposure across bright/dark areas
  • Reception uplighting: Neutralizes color pollution from LED walls
  • Dance floor DJ lights: Removes crazy color casts while keeping mood

2. Consistent Skin Tones Throughout

The bride's skin tone stays consistent from getting ready through first dance, regardless of lighting changes.

3. Speed That Matches Wedding Season

Process an entire wedding in under 30 minutes. Shoot Saturday, deliver Tuesday. That's the ShootCleaner advantage.

4. Preserves Wedding Day Details

Dress lace, venue textures, floral details—all preserved. No AI over-smoothing that ruins the details brides care about.

The Wedding Day Workflow

Step 1: Import After Getting Ready

Import your getting-ready photos (200-300 images). Process them during ceremony/portraits while you're not shooting.

Step 2: Process Ceremony & Portraits

Import ceremony and portrait shots (600-800 images). Let ShootCleaner work during cocktail hour.

Step 3: Final Reception Batch

Import reception and dance floor shots (800-1200 images). Process overnight or next morning.

Step 4: Final Review & Export

Review, make any final tweaks, and export for delivery. Total active work time: 1-2 hours.

Wedding-Specific Features

White Dress Optimization

Keeps wedding dresses pure white across all lighting conditions—no blue casts from tungsten, no yellow from LED.

Black Tux Recovery

Recovers detail in dark suits without making them gray or washing out the image.

Group Shot Consistency

Ensures all faces in large group photos get consistent skin tone treatment.

Low-Light Rescue

Reduces noise from dark churches and dim dance floors while preserving detail.

Real Wedding Numbers

Here's what ShootCleaner handles for a typical wedding:

  • 2000 photos processed in 25-30 minutes
  • 8-12 different lighting scenarios handled automatically
  • Consistent skin tones across 400+ photos of the couple
  • 100% of dress details preserved

Compare the Workflow

Traditional Editing:

  1. Cull 2000 down to 800 (2 hours)
  2. Edit ceremony batch manually (1.5 hours)
  3. Edit portraits batch manually (1 hour)
  4. Edit reception batch manually (2 hours)
  5. Total: 6.5 hours of active work

ShootCleaner Workflow:

  1. Cull 2000 down to 800 (2 hours)
  2. Import to ShootCleaner (2 minutes)
  3. Choose enhancement level (2 minutes)
  4. Process all (25 minutes)
  5. Quick review & export (30 minutes)
  6. Total: 3 hours of active work

Save 3.5 hours per wedding.

Wedding Season Math

If you shoot 30 weddings per year:

  • Traditional: 195 hours editing
  • ShootCleaner: 90 hours editing
  • You save: 105 hours

That's 13 full workdays back in your calendar.

Pricing for Wedding Photographers

ShootCleaner Pro: $99 one-time or $29/month

  • Unlimited images
  • All enhancement features
  • Priority support
  • Free updates

What Wedding Photographers Say

"ShootCleaner cut my editing time in half. I can now shoot more weddings without burning out." — Sarah M., Wedding Photographer
"The mixed lighting handling is incredible. Church, outdoor, reception—all consistent." — Mike T., Wedding Photography Studio

Ready to Transform Your Wedding Workflow?

Download ShootCleaner and process your next wedding in record time.

Process Your Next Wedding in Minutes

Join thousands of wedding photographers who trust ShootCleaner.