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LightFix Batch Processing Service

A human-in-the-loop batch processing service where photographers upload 10–500 photos at once; a trained operator uses semi-automated masking + tone-mapping software (Lightroom, Capture One) to normalize exposure across regions in 24–48 hours, then returns corrected files. Operators work on rotating shifts to handle volume; quality is guaranteed by a senior editor's spot-check on 10% of batches.

SERVICE

20 weeks • 70% confidence

Value Proposition

Eliminates 3–6 hours of manual per-image editing per photographer per week. Costs 40–60% less than hiring a full-time editor or using expensive plugin subscriptions. Turnaround is predictable (24–48h); quality is consistent because the same trained team does it. Scales with demand without hiring overhead.

Target Audience

Real estate photographers, document scanning services, e-commerce product photographers, event photographers managing 500+ images per shoot

Key Features

  • Batch upload via web portal or Dropbox sync
  • Automated pre-processing (histogram analysis, region detection) to flag problem areas for operators
  • Operator applies tone-mapping + selective masking in Lightroom/Capture One
  • And more, with full implementation detail...

Tech Stack

Lightroom API or Capture One scripting for batch export/import OpenCV (Python) for automated exposure detection React/Next.js for web portal Stripe for payments
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Original Problem

Photographers struggle to correct uneven lighting and exposure inconsistencies across photo regions without manual, time-consuming editing

Photographers and content creators frequently encounter photos with inconsistent exposure across different areas—bright spots, shadows, or uneven lighting from document scanning or mixed lighting conditions. Current solutions require tedious manual masking, layer blending, or expensive software plugins, making batch processing impractical. Users desperately need an automated way to normalize exposure across photo regions while preserving detail and maintaining a natural look.

Score: 47.7%

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