What Each Format Is For
A practical guide to picking the right export. Match the format to your destination — the system you're moving data into, the audience you're publishing to, or the workflow you're feeding.
CSV — Spreadsheet analysis
One row per item, one column per field. Open in Excel, Google Sheets, or Numbers.
Use it for:
- Quick reviews of what's in a collection
- Quality assurance — spotting missing fields
- Simple migration to systems that accept CSV import
- Ad-hoc reports for grant funders
Avoid it for: Hierarchical structures (Fonds → Series → Item nests don't survive CSV well — use EAD3 instead).
JSON — Programmatic consumption
Nested, hierarchical, machine-readable. The most faithful round-trip of Archivers.ai's data model.
Use it for:
- Building custom websites or visualisations over your archive
- Feeding a CMS that has a JSON import endpoint
- Backups (it preserves everything)
- Integrations with other tools (Notion, custom Python scripts, etc.)
Markdown — Human-readable plain text
One Markdown file per item, with metadata as front-matter and content as the body.
Use it for:
- Publishing as a static site (GitHub Pages, Hugo, Eleventy, Astro)
- Sharing with non-archival colleagues who want plain English
- Quick distribution via Dropbox / OneDrive / email
- Onward editing in any text editor
PDF Report — Finding aid for researchers
A formatted document with cover, table of contents, fond/series structure, and per-item summaries.
Use it for:
- Putting on your website as a researcher-facing finding aid
- Printing for the reading room
- Sending to a researcher as an enquiry response
- Donor reports — proof you've described the donation
EAD3 XML — Archives-to-archives standard
Encoded Archival Description, 3rd version — the XML standard for archival finding aids.
Use it for:
- Submitting to a national aggregator (UK NRA, US ArchiveGrid, Archives Portal Europe)
- Migration between archival catalogues that both support EAD3
- Long-term standards-compliant preservation of the description (not the files)
Required by: Most national archival aggregators and many institutional consortia.
Dublin Core XML — Libraries and repositories
The Dublin Core Metadata Element Set — 15 simple, widely-supported fields.
Use it for:
- Pushing into a Dublin-Core-aware repository (DSpace, Omeka, ContentDM)
- Cross-domain aggregators like Europeana
- Linked Data publishing where you want a familiar, well-supported schema
Note: Dublin Core is intentionally minimal — much of Archivers.ai's richer metadata (conservation notes, sensitivity flags, custom fields) is dropped or coerced into the 15 core elements. Use it when reach matters more than fidelity.
AtoM CSV — AtoM (Access to Memory)
CSV format tailored for import into AtoM — the open-source archival description application from Artefactual.
Use it for:
- Migrating an archive from Archivers.ai to an AtoM-hosted public catalogue
- Feeding a community archive's AtoM instance from a curated workflow
ArchivesSpace CSV — ArchivesSpace
CSV format compatible with ArchivesSpace's bulk import.
Use it for:
- North American institutions running ArchivesSpace as their catalogue
- Migrating descriptions into the ArchivesSpace ecosystem
Archivematica CSV — Preservation workflows
CSV format for Archivematica's METS-aware ingest workflows.
Use it for:
- Sending materials into Archivematica for long-term preservation packaging
- Pairing with BagIt to produce a complete preservation submission
Spectrum CSV — UK museum collections
CSV format that maps to Spectrum 5.1, the UK Collections Trust standard for museum collections management.
Use it for:
- UK museums migrating to or from a Spectrum-compliant collections management system (Modes, Adlib, MuseumPlus)
- Heritage organisations needing Spectrum-formatted data for funder reports
BagIt — Preservation transfer
A directory containing your files plus bag-info.txt, manifest-sha256.txt and tagmanifest-sha256.txt — SHA-256 checksums for the payload and for the tag files themselves.
The bag also carries its metadata with it: an Archivematica CSV, an EAD3 finding aid, and a PREMIS file recording the preservation events behind the records — what the AI did to them, when, and to which file.
Use it for:
- Submitting to an OAIS-compliant preservation system
- Long-term storage with file integrity guarantees
- Transferring an entire archive to another institution
Pairs well with: Archivematica, Preservica, the Digital Preservation Coalition's recommended workflows.
Package list — What's actually in the collection
One row per digital file: its details, its place in the collection, its size, its fingerprint, and a link that opens it through the authenticated door.
Use it for:
- Proving what a collection holds, file by file, without moving the files
- Reconciling a transfer against what arrived
- Pairing with BagIt when someone needs the inventory before the bytes
Unlike the description formats, it's a list of the files themselves — so it takes a depth, but has no arrangement to shape.
MODS XML — One object, richly described
The Metadata Object Description Schema. Offered on an individual item, beside Dublin Core XML and a single CSV row.
Use it for:
- Handing one object's full description to a library system that speaks MODS
- A richer alternative to Dublin Core when you're describing a single thing
CALM CSV — Axiell CALM
A flat, one-row-per-record sheet for CALM's tabular import, carrying a former-reference concordance column so old references survive alongside newly minted ones.
Use it for:
- Moving a catalogue into an Axiell CALM installation
- Handing a retroconverted collection over with both reference schemes intact
TNA Discovery workbook — Manage Your Collections
An .xlsx workbook for The National Archives' Manage Your Collections service, built from the collections tree as a guided, checked export: every record is checked against Discovery's upload rules and its dates put into the form Discovery will index.
Use it for:
- Contributing a UK collection to Discovery without hand-keying it
Reviewers can produce it, as well as Admins and Members.
How to choose, in one line
Pick the format your destination expects. If you have a choice, pick JSON for fidelity, EAD3 for archival standards compliance, and BagIt for preservation.