JSON to HTML Table Converter
Convert JSON data to HTML tables with customizable styling
JSON Data Input
Quick Examples
[ [ "Name", "Age", "City" ], [ "John", 25, "New York" ], [ "Jane", 30, "London" ] ]
[ { "name": "John", "age": 25, "city": "New York" }, { "name": "Jane", "age": 30, "city": "London" } ]
[ [ "Product", "Price" ], [ "Laptop", "$999" ], [ "Phone", "$699" ] ]
How it works
This tool converts JSON data to HTML tables using the html-tablify library.
Array of ArraysPerfect for tabular data with headers in the first row.
Array of ObjectsIdeal for structured data where each object represents a row.
CustomizableAdjust table ID, class, border, spacing, and padding to match your needs.
The converter generates clean, semantic HTML table markup with proper formatting.
JSON to HTML Table Converter Features
- Convert JSON arrays to HTML tables
- Support for array of arrays and array of objects
- Customizable table ID and CSS class
- Adjustable border, cell spacing, and padding
- Real-time preview of generated HTML
- Copy to clipboard and download as HTML file
- Clean, semantic HTML output
How to Use
- Enter your JSON data in the input field
- Customize table properties (ID, class, border, spacing)
- Click "Convert to HTML Table" to generate the table
- Preview the result and copy or download the HTML
Supported Data Formats
Array of Arrays:
[ ["Name", "Age", "City"], ["John", 25, "New York"], ["Jane", 30, "London"] ]
Array of Objects:
[ {"name": "John", "age": 25, "city": "New York"}, {"name": "Jane", "age": 30, "city": "London"} ]
Use Cases
- Converting API responses to HTML tables
- Generating reports from JSON data
- Creating data tables for web applications
- Visualizing spreadsheet data as HTML
- Building dynamic tables from database queries
Technical Details
Library: html-tablify v2.0.4
Input: JSON array format
Output: Semantic HTML table markup
Features: Customizable styling options
Job Roles That Benefit
Web Developers
Quickly convert data to HTML tables for web applications
Data Analysts
Visualize JSON data as formatted HTML tables
Frontend Developers
Generate table markup from API responses
Content Managers
Convert structured data to web-ready tables