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JSON to HTML Table Renderer

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Table Options

Column Visibility

Columns will appear here after entering valid JSON.

Export Options

Generated HTML Code

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Guide

JSON to HTML Table Renderer

JSON to HTML Table Renderer

Convert a JSON array of objects into a styled, interactive HTML table. Paste your JSON data and instantly see a rendered table with sortable columns, configurable styles, nested object handling, and column visibility controls. Export the result as embeddable HTML with inline CSS, CSV, or Markdown table format.

How to Use

Paste a JSON array of objects into the input area. The tool auto-detects all unique keys across objects and renders them as table columns. Choose a table style (Plain, Striped, Bordered, Compact, or Dark), configure how nested objects are displayed, and toggle column visibility. Click column headers to sort. Copy the generated HTML, CSV, or Markdown, or download a complete .html file with inline styles.

Features

  • 5 Table Styles — Plain, Striped, Bordered, Compact, and Dark themes. Each generates self-contained inline CSS so the table looks correct when embedded anywhere.
  • Nested Object Handling — Three modes: Stringify (show as JSON string), Expand Inline (flatten with dot-notation keys like “address.city”), or Collapsible (expand/collapse nested content in-place).
  • Sortable Columns — Click any column header to sort ascending or descending. Works with text, numbers, and dates.
  • Column Visibility — Auto-populated checkboxes for each detected column. Hide or show specific fields to customize the table output.
  • Pagination — Automatic pagination for datasets over 50 rows with prev/next navigation and row count display.
  • Export HTML — Copy or download complete, self-contained HTML with inline CSS. Embeddable in any webpage, email, or document.
  • Export CSV — Properly quoted CSV output that handles commas, quotes, and special characters in values.
  • Export Markdown — Clean Markdown table format compatible with GitHub, GitLab, and any Markdown renderer.
  • Sample Data — Load example JSON to see the tool in action before pasting your own data.

Supported JSON Format

The tool expects a JSON array of objects: [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]. Objects don’t need identical keys — missing keys in some objects produce empty cells. Nested objects and arrays are handled according to the selected mode. Primitive values (strings, numbers, booleans, null) are displayed directly in table cells.

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What JSON format does the tool accept?

The tool accepts a JSON array of objects — the most common format for tabular data. Each object in the array becomes a row, and the object keys become column headers. Example: [{“id”: 1, “name”: “Alice”}, {“id”: 2, “name”: “Bob”}]. Objects don’t need to have identical keys; the tool detects all unique keys across all objects and fills missing values with empty cells. Nested objects and arrays are supported through three display modes.

How does the tool handle nested JSON objects?

Three modes are available. Stringify shows nested values as their JSON string representation (e.g., {“city”: “NYC”}). Expand Inline flattens nested objects using dot-notation column headers (e.g., an ‘address’ object with a ‘city’ field becomes an ‘address.city’ column). Collapsible shows a toggle button in the cell that expands to reveal the nested content. Choose based on your use case: Stringify for compact display, Expand for full visibility, Collapsible for interactive exploration.

Can I embed the generated HTML table in my website?

Yes — the generated HTML includes inline CSS styles, so it’s completely self-contained. Copy the HTML code or download the .html file and paste it into any webpage, blog post, email template, or CMS. The table will display correctly without requiring external stylesheets. Choose the table style that matches your site’s design (Plain for minimal, Striped for readability, Dark for dark-themed sites).

Is my data sent to a server?

No — all processing happens in your browser using JavaScript. Your JSON data never leaves your device. There are no API calls, no server-side processing, and no data storage. The table rendering, sorting, pagination, and export functions all run entirely client-side. This is important for sensitive data like user records, financial data, or internal API responses.

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