📊 JSON to HTML Table
Convert JSON array data to clean, styled HTML table code with one click · Nested JSON support · Customizable styles
📥 JSON Input
👁️ Table Preview
Paste JSON and click "Convert" to generate table
/* Click "Convert" to generate HTML code */
About JSON to HTML Table Tool
This tool converts JSON array data into clean, well-formatted HTML table code with one click. It automatically detects all fields from JSON objects as table column headers, supports nested JSON expansion, and offers multiple table style options. Perfect for developers and data analysts who need to visualize JSON data as HTML tables.
When to use JSON to HTML Table
- API Debugging: Display API response JSON data in table format for easier data structure inspection
- Data Reports: Convert JSON datasets to HTML tables for embedding in reports or documentation
- Rapid Prototyping: Generate static HTML prototype pages from mock JSON data before backend APIs are ready
- Data Visualization: Use as a foundation for data display, combined with other tools for further analysis
- Email Templates: Generate compatible HTML table code for data display in emails
JSON to HTML Table FAQ
What JSON formats are supported?
This tool supports JSON arrays of objects ([{...}, {...}]) and single JSON objects ({...}). Single objects are displayed as a single-row table. Nested JSON objects and arrays are supported — when "Expand nested JSON" is enabled, nested data is displayed with indented formatting.
Is my data uploaded to a server?
No. All data processing happens locally in your browser. No data is uploaded to any server. Feel free to use it even with sensitive data.
How do I customize the table style?
Style options (striped, bordered, hover highlight) are available above the input area. The generated HTML includes complete inline styles — just copy and use it directly. You can also modify the CSS in the generated code.
How large JSON datasets can I convert?
There's no hard limit, but we recommend keeping JSON arrays under 1000 entries for optimal browser rendering performance. For very large datasets, split them into smaller batches.