Museums
From undescribed acquisitions to reviewable catalogue records, with Spectrum CSV export built in. Archivers.ai drafts structured metadata for objects, photographs, and documents — nothing enters your catalogue until a curator reviews and accepts it. We are not a full collections management system — we complement your existing CMS (Axiell, Modes, Adlib, Mimsy) rather than replacing it.
Works with your existing CMS
Archivers.ai complements your existing collections management system — it doesn’t replace it. Spectrum CSV export on every paid plan, alongside CSV, EAD3 and Dublin Core, for import into Axiell, Modes, Adlib, Mimsy, and other museum CMS platforms.
The Challenges
Museum accreditation processes expect documented cataloguing procedures and evidence of standards-aligned records. Archivers.ai supports consistent cataloguing workflows and evidence gathering relevant to museum accreditation processes — the formal decision still rests with the awarding body.
Museum objects require specific fields: maker, materials, dimensions, technique, provenance, acquisition method. Standard archiving tools don't cover these.
Donations, bequests, and transfers arrive continuously. Without a scalable cataloguing tool, the backlog grows faster than it can be cleared.
How We Help
See It In Action
Upload an object photograph or document scan. Archivers.ai's AI generates structured metadata — title, description, materials, estimated date, maker attribution, and condition notes. You review each field, adjust where needed, and approve.
The result is a structured draft catalogue record ready for your review — dramatically faster than starting from a blank form.
Relevant Features
Structured fields covering all standard museum cataloguing requirements, generated automatically from the object or image.
AI suggests; you approve. Every record is reviewed before it's published. Perfect for maintaining institutional standards.
Spectrum CSV, EAD3, Dublin Core, and CSV. Import directly into Axiell, Argus, Mimsy, Adlib, or any CMS that accepts standard formats.
Common Questions
Is Archivers.ai Spectrum-aligned?
Archivers.ai generates draft metadata aligned to Spectrum procedures, covering the key fields for object entry, cataloguing, and location tracking, and exports Spectrum CSV on every paid plan. It is not a full collections management system — it is a cataloguing and review layer that produces standards-aligned records you can export into your CMS.
Can I import records into our existing collections management system?
Yes. Archivers.ai exports Spectrum CSV, plain CSV, EAD3, and Dublin Core — standard formats accepted by most museum CMS platforms, including Axiell, Modes, Adlib, and Mimsy. CSV is the most universal: you can map columns to your system’s fields during import.
Does it handle 3D objects or only flat documents?
Archivers.ai processes photographs of objects, not 3D scans. Upload a photograph of any museum object and the AI will generate descriptive draft metadata including materials, technique, estimated date, and condition notes. Works equally well for ceramics, textiles, paintings, or archival documents — all reviewed by a curator before publication.
What about museum accreditation?
Museum accreditation processes expect documented cataloguing procedures and evidence of standards-aligned records. Archivers.ai supports consistent, repeatable cataloguing workflows and evidence gathering relevant to those processes — it does not replace the formal decision made by the awarding body, but it helps you produce the evidence they ask for.
What does it cost, and can volunteers use it?
Pricing is transparent and will be published when we launch — no sales call required to find out what you’d pay. Small museums typically start on Starter; larger museums, trusts, and university collections on Professional. Volunteer and reviewer seats are free on every paid plan, so documentation volunteers can review and accept records without adding to the bill. Archivers.ai is currently in early access — join the waitlist and every account is personally onboarded.
From the Blog