JSON Grid Viewer

Explore JSON as rows and columns, inspect nested values without losing context, and export the current grid to CSV or Excel.

Grid-first JSON exploration with sortable columns, nested inspectors, visible-state export, and local-only processing.
Paste JSON on the left to open the grid workspace. The page stays still while the input and output panels scroll independently.
0 rows0 columns0 visible columns0 active filtersMain thread mode0ms0 B
All processing happens locally in your browser.

How the JSON Grid Viewer Works

The viewer is built for real JSON exploration, not just a one-click flatten:

  • 1.Dataset Detection — Finds row-worthy arrays and lets you choose the path you want to inspect.
  • 2.Grid Modeling — Arrays of objects become row sets, object roots become key-value grids, and primitive arrays become simple row lists.
  • 3.Nested Inspection — Objects and arrays inside cells stay compact in the grid and open in the inspector when you click them.
  • 4.Visible-State Export — Sort, search, and filter first, then export what you are actually seeing.

Common Use Cases

API Response Analysis

Inspect payload rows, nested fields, and inconsistent records before exporting them to a spreadsheet.

Spreadsheet Preparation

Turn JSON arrays into analysis-friendly CSV or Excel while keeping control over visible columns and sorting.

Nested Payload Review

Click into nested arrays and objects without flattening the whole document beyond recognition.

Sparse Data Audits

Find empty cells, missing columns, and inconsistent row shapes in real-world datasets.

Key Features

Local-Only Processing

JSON parsing, grid modeling, search, filtering, and export stay in your browser.

Grid-First Review

Sort columns, filter rows, inspect nested cells, and keep the active grid state aligned with export.

Export What You See

CSV, Excel, JSONL, and clipboard copy are all driven by the current grid view.

Frequently Asked Questions

How does the JSON Grid Viewer choose rows and columns?

The tool detects arrays in your JSON and lets you choose which dataset path should become rows. Arrays of objects become row sets with unioned columns, arrays of primitives become one-column grids, and object roots become key-value inspection grids.

What happens to nested arrays and objects inside cells?

Nested values stay collapsed in the main grid so the table remains readable. Click any nested cell to inspect its full source path, preview the value, and open a nested-grid preview when the value contains another array or object structure.

Can I sort, search, and filter before exporting?

Yes. The visible grid state drives the main CSV and Excel export actions, so your current sorting, global search, column visibility, and filters are reflected in the exported result.

Is my data private when using the grid viewer?

Yes. All parsing, dataset detection, grid building, and export generation happen locally in your browser. Your JSON is not uploaded or stored on a server.

What can I export from this tool?

You can export the visible grid to CSV or Excel, export all current rows with the visible column layout, copy the visible grid to the clipboard as tab-separated data, and generate JSONL from the visible result.

Can the grid handle sparse or inconsistent rows?

Yes. The viewer unions the columns discovered across the dataset, keeps missing values visible as empty cells, and makes it easy to filter rows with empty values so you can audit inconsistent payloads before export.

Related JSON Tools

JSON Path Finder

Discover the exact paths behind the rows and nested cells you are exploring.

JSON Flattener

Normalize deeply nested payloads into flatter export-ready structures.

JSON Pretty Print & Viewer

Inspect and format raw payloads before sending them into the grid workspace.

JSON to CSV

Convert the same JSON into spreadsheet-friendly CSV with deeper flattening controls.