From Shoebox to Searchable in One Day.
ScanStationAI pairs an intelligent local scanning station with cloud-based AI so small museums, archives, and historical societies can capture, organize, and publish collections with a workflow that is practical, teachable, and fast. It is built for hard handwriting, faint carbon copies, land deeds, photo descriptions, and historically important records that are difficult to read and easy to lose.
The Problem
Small institutions do not just need a scanner. They need a workflow that keeps collections in order, captures context while staff still remember it, and turns scans into something searchable and useful.
Too much is boxed up
Irreplaceable letters, photographs, deeds, and local records stay hidden because digitization projects feel too big to start.
Vendors are expensive
Traditional outsourcing works for large institutions, but not for the shoebox, drawer, and room-scale projects most local museums face.
Hard documents stay hard
Handwriting, faded carbon copies, slave records, and legal documents often need more than a flat scan. They need transcription help, structure, and careful review.
Knowledge is walking out the door
Volunteers and staff know who donated something, what the photo shows, and why it matters. That context disappears if it is not captured now.
How ScanStationAI Works
A local capture station handles the physical workflow. The cloud handles OCR, AI enrichment, and publishing-ready metadata.
Local scan station
Overhead capture keeps fragile materials safe and makes page-turning, folder-by-folder work fast.
Operator-guided organization
Containers, folders, and item order stay visible while the operator works, so the digital record mirrors the physical one.
AI-assisted reading
Titles, OCR, document typing, summaries, and tags can be suggested automatically, even for difficult handwriting and faint documents.
Photo and record description
Images and documents get draft descriptions that help staff identify people, places, scenes, and subjects more quickly.
What the Operator Actually Does
The operator stays in control. The system is there to accelerate repetitive work, not replace collection knowledge.
Choose the working collection
Open the right room, cabinet, drawer, or folder so scans land in the correct place from the start.
Scan at production speed
Capture one item after another while uploads continue in the background.
Review AI suggestions
Use OCR, handwriting help, title suggestions, and type detection as a draft, then correct and enrich where needed.
Publish and share
Move from internal processing to searchable exhibits, websites, and public discovery.
Standards and Interoperability
The goal is not another locked-in silo. ScanStationAI is being built to fit into the collection systems museums already use, and the standards they already care about.
IIIF support
Level 2 IIIF support is part of the plan so collections can move toward interoperable image delivery and presentation.
Import paths
We already import from PastPerfect and Omeka or Omeka S. Contact us for a demo of your public data in our system, and include a link to your PastPerfect Online or Omeka site.
Coming soon
A fuller CMS inspired by Omeka S RDF-style internal structure, plus authority list integration for cleaner names, places, and subjects.
Want to see it in action?
We are preparing the beta experience now. If you want to talk about a pilot, a demo, or a future grant-backed project, reach out.