JSON to Table Converter

How to Use the JSON to Table Converter

1. Paste a JSON array of objects into the input editor, or click “Load sample” to try example data. Each object in the array becomes one row in the table.
2. Click “Render Table” to display the data as an interactive HTML table below the editor.
3. Sort by any column — click a column header to sort ascending. Click again to reverse. This works for text, numbers, and dates.
4. Edit cells directly — double-click any cell to modify its value. Changes are reflected in the underlying data immediately.
5. Export — use Copy JSON, Copy Markdown, or Copy HTML to get the table data in your preferred format, ready to paste into code, docs, or a web page.

What is a JSON to Table Converter?

A JSON to table converter takes structured JSON data — typically an array of objects — and renders it as a visual, interactive HTML table. While JSON is the standard format for APIs and data storage, tables are far easier for humans to scan, compare, and edit. This tool bridges that gap by turning raw JSON into a sortable, editable table with one-click export to multiple formats.

This is especially useful when you need to quickly review data from an API response, edit a few values, and then export the result. Instead of manually editing JSON (and risking syntax errors), you edit cells in the table and export clean JSON, Markdown, or HTML. For a different tabular output, try the JSON to CSV converter which produces flat files for spreadsheets.

Examples

1. API response as a sortable table

Paste a JSON array from a REST API to view it as a table:

[
  { "id": 1, "name": "Widget", "price": 9.99, "stock": 150 },
  { "id": 2, "name": "Gadget", "price": 24.99, "stock": 75 },
  { "id": 3, "name": "Doohickey", "price": 4.99, "stock": 300 }
]

The table renders with columns for id, name, price, and stock. Click the price header to sort by price and quickly find the most expensive item.

2. Editing cells and exporting back to JSON

After rendering the table above, double-click the stock value for “Widget” and change it from 150 to 200. Then click “Copy JSON” to get the updated data:

[
  { "id": 1, "name": "Widget", "price": 9.99, "stock": 200 },
  ...
]

This workflow is much faster than manually finding and editing values in raw JSON, with no risk of accidentally breaking the JSON syntax.

3. Copy as Markdown for documentation

Click “Copy Markdown” to get a pipe-delimited table ready for README files, GitHub issues, or Confluence pages:

| id | name | price | stock |
| --- | --- | --- | --- |
| 1 | Widget | 9.99 | 150 |
| 2 | Gadget | 24.99 | 75 |
| 3 | Doohickey | 4.99 | 300 |

You can also use the JSON Formatter to clean up your input before rendering the table.

Common Use Cases

• Reviewing API responses: Render JSON arrays from REST APIs as visual tables to quickly scan and compare records.
• Quick data editing: Edit individual values in the table rather than hunting through raw JSON, then export the corrected data.
• Documentation tables: Convert JSON data to Markdown tables for README files, wiki pages, and technical documentation.
• HTML table generation: Export table data as HTML for embedding in web pages, emails, or reports.
• Data validation: Render JSON in a table to visually spot missing fields, incorrect types, or outlier values.
• Presentations: Generate clean, formatted tables from JSON data for slide decks and stakeholder reports.
• Cross-format workflows: Use alongside the JSON to CSV converter and CSV to JSON converter for complete data transformation pipelines.

Frequently Asked Questions

Can I edit the table cells?

Yes. Double-click any cell to edit its value directly in the table. Your edits modify the underlying data, so when you export to JSON, Markdown, or HTML, the changes are included. This makes it easy to fix typos or update values without editing raw JSON.

What export formats are supported?

You can export the table in three formats: JSON (the edited data as a formatted JSON array), Markdown (a pipe-delimited table for documentation), and HTML (a complete <table> element for web pages). Each format is copied to your clipboard with one click.

Does it handle nested objects?

The table renders top-level keys as columns. Nested objects and arrays are displayed as their JSON string representation in the cell. For deeply nested data, consider flattening it first using the JSON to CSV converter, which uses dot notation for nested structures.

Can I sort the columns?

Yes. Click any column header to sort the table by that column. Click again to reverse the sort order. Sorting works with strings, numbers, and mixed types, making it easy to find the highest values or specific records.

What is the maximum number of rows?

The table renders in your browser, so performance depends on your device. Most modern browsers handle tables with several thousand rows smoothly. For datasets over 10,000 rows, consider using the JSON to CSV converter and opening the CSV in a spreadsheet application.

Can I filter or search the table?

Use your browser’s built-in find function (Ctrl+F or Cmd+F) to locate specific text within the rendered table. You can also sort columns to bring relevant rows to the top.

Privacy & How It Works

The JSON to Table converter runs entirely in your browser. When you click Render Table, your JSON is parsed using JSON.parse() and the resulting array is rendered as interactive HTML table rows using React components. Editing a cell updates the in-memory data array directly. Exporting to JSON, Markdown, or HTML serializes that array client-side and copies the text to your clipboard — no server is involved. No data is transmitted, no cookies are set, and nothing persists after you close the tab. This makes the tool safe for viewing and editing sensitive records, internal metrics, and any data you would not want to upload to a third-party service.