How to use the JSON to Table View
View JSON as a table instantly:
1
Paste a JSON array
Provide a valid JSON array of objects. The tool automatically extracts all unique keys across every object to generate the column headers.
2
Sort by column
Click any column header to sort the data ascending or descending. The sorter interprets numbers intelligently and falls back to alphabetical string sorting.
3
Use global search
Type into the search bar to filter rows instantly across all columns.
4
Paginate and Export
Adjust the rows per page (10, 20, 50, or 100). Click 'Export CSV' to download the filtered and sorted tabular dataset locally.
When to use this tool
Use this for a quick tabular view of JSON data:
- →Inspecting a paginated REST API response array containing multiple varied objects.
- →Exporting an array of complex JSON database records directly to a CSV file for business analysts.
- →Comparing sparse JSON objects side-by-side where some keys might be missing.
- →Searching for a specific string value across thousands of attributes in a massive API payload.
- →Rendering mock e-commerce product lists as a data grid to verify structure before building the UI.
Frequently asked questions
Q:How does it map JSON types to table columns?
The tool expects an array of objects. It sweeps through all provided objects and uses a JavaScript Set to extract every unique key as a dedicated column header. Missing keys in any given object are gracefully rendered as empty table cells.
Q:How does it handle nested objects?
Nested arrays and objects are stringified using `JSON.stringify` directly into the cell, allowing you to see the nested structure instead of a generic '[object Object]' or blank column.
Q:How do I use the exported output?
The 'Export CSV' button generates a standard comma-separated values file reflecting your current search and sort states. You can open this file directly in Microsoft Excel, Google Sheets, or import it into a pandas DataFrame.
Q:Is my tabular data secure?
Yes. All JSON parsing, column extraction, and CSV generation happens entirely in your browser memory. We never send your payload to an external server.
Q:Why is the table empty?
The tool requires the root element to be a valid JSON array (`[...]`). If you provide a single object (`{...}`), it cannot map it to a multi-row table unless you wrap it in square brackets first.