Barcode + Metadata System
A barcode-driven metadata ingestion and enrichment pipeline — converting physical objects into structured, searchable digital records automatically.
Physical items have no digital identity.
Every physical product carries a barcode — but that barcode is only useful if something reads it, queries the right databases, and builds a complete structured record from the result. Without that infrastructure, physical items remain invisible to any digital system.
A scan becomes a record.
A lightweight, reusable barcode ingestion layer that translates physical scans into complete digital records — enriched with data from multiple external sources and structured for downstream use.
Barcode capture
UPC, EAN, ISBN, and custom barcodes scanned via CodeReadr mobile app. Matrix numbers and alphanumeric catalog identifiers supported for items without standard barcodes.
Multi-source API lookup
Barcode value sent to relevant product databases — Amazon, Discogs, Open Library, UPC databases — depending on product category. Multiple sources queried in parallel, best match selected.
Metadata enrichment
Raw API response cleaned and normalized. Missing fields populated via secondary lookups or AI inference. Structured record built with consistent field names regardless of source format.
Database storage and categorization
Complete record stored in Airtable with category tagging, condition fields, and linking to related records. Immediately queryable and available for downstream automation.
Tools Used
CodeReadr, Make.com, Airtable, Amazon API, Discogs API, Open Library API, UPC database APIs, OpenAI
Outcome
Item identification and metadata retrieval in under 5 seconds per scan. Consistent structured records across all product categories.
Extensibility
New product categories require only a new API configuration — the core pipeline architecture remains unchanged.