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Generated Case Study

RAW Photo Culler

A local-first culling workflow for rapidly triaging camera photos before editing.

Status Working Prototype Stack Python, Local filesystem, Future: Ollama
Generated

RAW Photo Culler

Overview

No overview available.

Problem

  • Reviewing large batches of RAW photos manually is slow and repetitive.
  • The first-pass keep/reject workflow delays editing and adds friction after each shoot.

Solution

  • I built a local culling tool with keyboard-driven review and selection.
  • It helps identify keep, maybe, and reject candidates quickly and prepares downstream cleanup workflows.

Workflow

  1. 1

    Point the app at a shoot folder

  2. 2

    Review images using keyboard controls

  3. 3

    Mark keep, maybe, or reject

  4. 4

    Generate a follow-up action plan or script

  5. 5

    Move selected photos into the editing pipeline

Architecture

flowchart TD U[Photographer] S1[Culling UI] S2[Selection Engine] S3[Export / Action Generator] D1[( Local photo folders )] I1[Future Lightroom workflow] U --> S1 S1 --> S2 S2 --> S3 S3 --> D1 S3 --> I1

What's Next

  • Lightroom Classic integration
  • Embedded previews and side-by-side compare
  • Automated demo screenshot capture