Quick way to export document from dev to production server?

29 replies
Last updated: Jan 22, 2026
is there a quick an dirty way to export a document from a dev server to import to a production server?
AI Update

For a quick and dirty way to move a single document from dev to production, you've got a few options:

Quickest: Using the CLI with GROQ query

You can export a specific document by its ID and import it directly:

# Export a single document
sanity documents query --dataset development "*[_id == 'your-document-id']" > document.ndjson

# Import to production
sanity dataset import document.ndjson production

This creates a small NDJSON file with just that document. If the document references assets (images, files), you'll need to handle those separately or use the full dataset export approach.

GUI Option: Cross Dataset Duplicator Plugin

If you prefer a point-and-click approach, install the Cross Dataset Duplicator plugin:

npm i @sanity/cross-dataset-duplicator

This lets content editors copy documents between datasets directly from the Studio interface without touching the command line. It handles both documents and their associated assets.

Full Dataset Export (overkill but reliable)

If you need everything including assets, you can use the dataset export command:

# Export from dev
sanity dataset export development dev.tar.gz

# Import to production (merges with existing content)
sanity dataset import dev.tar.gz production

This exports the entire dataset, so it's overkill for a single document, but it's the most reliable way to ensure all assets and references come along.

Important notes:

  • Imports merge with existing content by default - they won't overwrite your production dataset
  • The schema definition lives in your code, not in the export, so make sure your production schema supports the document type you're moving
  • If the document has references to other documents, those referenced documents won't be included unless you export them too

For a truly quick one-off, I'd go with the GROQ query approach. For something you'll do regularly, the Cross Dataset Duplicator plugin is worth setting up.

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