100% offline
Data
Free · no signup
Updated

JSON to Table Viewer

A JSON to Table Viewer parses a JSON payload and renders it as a clean, sortable, searchable HTML table — perfect for non-developers handed a JSON dump from an API or report — entirely client-side with no upload.

JSON

Paste JSON to render it as a table.

About JSON to Table Viewer

Paste any JSON. If it's an array of objects, the viewer renders it as a flat table with sortable headers, search filtering across all columns, and copy-cell on click. Nested objects render as expandable rows. If the top-level shape is an object, the tool flattens it to a key/value table. CSV export is one click.

What JSON to Table Viewer does

  • Renders an array-of-objects JSON payload as a sortable HTML table
  • Live search across every visible column
  • Click any cell to copy its value
  • Nested objects render as expandable rows
  • Row virtualization keeps 10,000-row payloads scrolling at 60fps
  • Export visible rows as CSV or filtered JSON

When to reach for JSON to Table Viewer

  • Sharing a JSON dump with a non-developer in a readable shape
  • Quickly filtering a large API response by a column value
  • Spotting columns that contain unexpected nulls or empty strings
  • Exporting just the rows that match a search to CSV

How to use JSON to Table Viewer

  1. 01

    Paste your JSON

    Paste any JSON payload — array, object, or mixed.

  2. 02

    Browse the table

    Click headers to sort. Use the search box to filter across all columns.

  3. 03

    Export

    Download the visible rows as CSV or copy the filtered set as JSON.

When to use JSON to Table Viewer vs alternatives

AlternativeUse JSON to Table Viewer when…Use the alternative when…
jq + a terminalyou want point-and-click sorting and filtering without remembering syntax.you need scripted transformations.
jsoneditoronline.orgthe data is sensitive and cannot be uploaded.you also need tree editing and schema validation.

Frequently asked questions

What if my JSON isn't an array?
Single objects are rendered as a vertical key/value table. Primitive arrays become a single-column table. Mixed shapes display as a nested-aware tree.
Does it handle very large arrays?
We virtualise rows beyond 200 entries so 10,000-row payloads scroll smoothly without locking the page.
Can I export the table?
Yes — export to CSV or copy the visible filtered rows as JSON.

Related reading