Back to projects

Photo ingest / visual identification / item research

Visual Lookup Flow

A human-in-the-loop workflow for turning item photos into candidate matches, confirmed metadata, useful descriptions, pricing research, and marketplace-ready listing drafts.

Visual lookup flow placeholder

Type

AI-assisted workflow design

Inputs

Photos, item notes, lookup candidates

Output

Confirmed item metadata and draft listing material

Role

Workflow architecture, provider abstraction, review UX

Overview

The flow begins with an inventory entry and attached photos. Visual lookup can then search for similar items, present likely matches, and ask for confirmation before accepting any suggested title, model, category, brand, description, or price guidance.

Image Slots

Photo lookup placeholder
Photo upload and candidate lookup interface.
Listing draft placeholder
Confirmed item data and listing draft review.
Provider layer placeholder
Pluggable provider layer for Google Lens-style lookup or fallback tools.

Architecture Notes

  • Create the item record first so the system always has a local anchor.
  • Run visual lookup as an optional enrichment step, not as a required gate.
  • Store lookup results and user confirmation separately from raw photos.
  • Keep the provider layer swappable for better Lens-style integrations later.
Human-in-the-loop Photo ingest Visual search Metadata review Provider abstraction