Export profiles for AtoM, ArchivesSpace, Axiell, Modes, Adlib, Mimsy, Preservica, and Archivematica. Your repository or collections management system remains the system of record.

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Upload anything

Documents, photographs, audio, video, and multi-page TIFFs across common archival and museum formats. Drag and drop or bulk upload entire collections.

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AI reads and classifies

OCR for printed and handwritten text, automatic document type detection, date extraction, named entity recognition across people, places, and organisations.

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Rich metadata generation

18+ structured fields generated automatically: title, description, date, creator, subject, format, language, rights, provenance, and more — all standards-aligned.

Human review workflow

Every AI classification goes through your review queue. Approve, edit, or override — nothing is published without your sign-off. Accuracy you can trust.

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Full-text search

Search across your entire collection — transcribed text, metadata fields, and AI-generated descriptions. Find any item in seconds.

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AI research assistant

Ask questions across your archive in plain English. The AI draws on transcripts, metadata, and descriptions to surface connections and insights.

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Fonds & accession management

Organise your collection in a proper hierarchical structure. Group items into accessions, arrange accessions into fonds — exactly as archival standards require.

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Export in archival formats

EAD3, BagIt with PREMIS, CSV, and Dublin Core. Outputs designed to support NLHF-style digitisation workflows. One click to export in the format your downstream systems need.

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Rights flagging

Automatically identifies potential copyright issues and access restrictions. Set item-level rights statements to protect sensitive material.

Built for every heritage professional

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For Archivists

ISAD(G)-aligned metadata, EAD3 export, BagIt packages. Professional tools for professional cataloguers.

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For Directors

A clear business case, standards-aligned outputs for funded digitisation projects, and measurable backlog reduction. Plus a retention route through staff Explore and public access.

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For Museums

SPECTRUM-aligned draft metadata and object-level cataloguing that supports consistent workflows relevant to museum accreditation processes. Complements your existing CMS — it doesn’t replace it.

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For Community Archives

No IT department required. Simple upload workflow, free to start, and outputs designed to support NLHF-style digitisation workflows and grant reporting.

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FAQ

What file types does The Archiver support?

Documents (PDF, Word, scanned images), photographs (JPEG, PNG, TIFF including multi-page), audio (MP3, WAV), and video. Most common heritage collection formats are supported.

How does the AI classification work?

The Archiver's AI reads each uploaded file — running OCR on documents and images, transcribing audio and video — then generates structured metadata across 18+ fields. Every AI classification is presented for your review before it is published.

What metadata standards do you support?

Archivers.ai generates ISAD(G)- and SPECTRUM-aligned draft metadata and exports in EAD3, Dublin Core, BagIt with PREMIS, and import CSVs. Outputs are designed to support NLHF-style digitisation workflows and downstream systems and services that use EAD-based imports. Formal acceptance by any specific programme depends on the programme’s own requirements.

Can I export to my existing collections management system?

Yes. The Archiver exports in CSV, EAD3, and Dublin Core — standard formats accepted by most collections management systems including Axiell, Modes, Adlib, and others.

Is my data secure?

Yes. Customer collection data is not used to train foundation AI models — we follow the no-training commitments of our AI model providers. You retain ownership of your archive and can export or delete your data at any time. See the Trust page for full detail on data handling, sub-processors, and exit.