Convert

JSON to CSV.

Turn a JSON array of objects into a spreadsheet-ready CSV. Open it, check it in the Grid, and export — no upload, no row limit.

Local · No upload · No size limit on opening · Apache-2.0

Pandia exports a JSON array of objects as CSV — one row per object, with a header derived from the keys. View the data first in the Grid (sort, filter, scan columns), then export the result as CSV for a spreadsheet or data pipeline.

Example

Input JSON:

[
  { "id": 1, "name": "Ada",   "active": true },
  { "id": 2, "name": "Linus", "active": false }
]

CSV output:

id,name,active
1,Ada,true
2,Linus,false

What you get

  • One row per object, with headers taken from the keys.
  • Preview and sort the data in the Grid before exporting.
  • Handles large arrays — there is no row cap on opening.
  • Tip: CSV export expects a root array of objects.

It’s the same engine behind Pandia’s export — opinionated, deterministic, and built to run on files far too large for an online converter.

Frequently asked questions

How do I convert JSON to CSV in Pandia?

Open a JSON array of objects, optionally review it in the Grid, then choose CSV from the export menu to write a spreadsheet-ready file.

What shape does the JSON need to be?

CSV export expects a root array of objects — each object becomes a row and its keys become the columns.

Does it work offline and on large files?

Yes — export runs locally with no upload, and Pandia opens multi-gigabyte arrays without freezing.

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