u/lyfelager

Image 1 — Feedback Requested: Scalable Workflow for Family Photo Digitization
Image 2 — Feedback Requested: Scalable Workflow for Family Photo Digitization
Image 3 — Feedback Requested: Scalable Workflow for Family Photo Digitization

Feedback Requested: Scalable Workflow for Family Photo Digitization

I’m preparing to digitize a personal/family archive and would appreciate feedback before I lock in the workflow.

Main questions:

  • Any major flaws or blind spots in this approach?

  • Any metadata/export pitfalls with these iPhone-based scanning apps?

  • Any recommendations for minimizing glare/curl issues in album captures?

Size Estimate (see photos)

Several thousand photos plus a substantial amount of paper documents/ephemera.

Roughly:

  • ~50% loose prints

  • ~30% albums

  • ~20% photobooks

Mostly consumer point-and-shoot / disposable camera photos.

Most originals will be discarded after digitization. A small number of especially meaningful items will be retained.

Capture setup:

  • iPhone 15 Pro Max mounted overhead on fixed tripod .

  • Remote shutter via Apple Watch.

  • Fixed-height capture station.

  • Diffuse angled lighting.

  • Clear cast acrylic sheets used to flatten curled photos/pages:

    • 12”×16”×1/4”

    • 8”×10”×1/8”

Planned workflow:

  • Loose prints captured ~4 at a time with auto-cropping/splitting.

  • Album and photobook pages captured one page at a time.

  • Apps: Testing both Pic Scanner Gold and Photomyne to compare:

    • throughput.

    • auto-crop accuracy.

    • metadata handling.

  • Canon imageCLASS MF284dw flatbed scanner (2026) : for documents / OCR PDFs. ( allows scanning multiple pages into a single PDF.)

Output / metadata:

  • PNG output (intentionally choosing PNG over TIFF for smaller size and simpler handling).

  • Embedded metadata preferred over filename-based metadata.

  • Metadata entered during scanning will be minimal:

    • approximate date/year.

    • location.

    • event/description.

NOTE: All photos will also be passed through a subsequent LLM/OCR image analysis step for extracting text as well as image attributes such as indoors/outdoors, daytime/nighttime, scene type, scene description, objects in scene, etc.

THANK YOU

u/lyfelager — 8 days ago