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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