Why View JSON as a Table?
JSON is the standard format for API responses, database exports, and configuration data. While it is machine-readable by design, scanning through hundreds of lines of raw JSON to find a specific value or compare records is slow and error-prone. Converting a JSON array into a table makes patterns, outliers, and missing values immediately visible.
A table view turns each object into a row and each key into a column, giving you the same birds-eye perspective that a spreadsheet provides. Combined with sorting, filtering, and pagination, you can explore even large datasets without leaving your browser or importing files into a separate application.
Common Use Cases
- • Inspect API response payloads
- • Verify data shapes and types
- • Spot null or missing fields
- • Compare records side by side
- • Sort by any column instantly
- • Filter to find specific records
- • Export filtered results to CSV
- • Explore nested structures
How to Use This Tool
- 1
Paste your JSON. The input must be a valid JSON array of objects. Use the sample data button to try it out if you do not have data handy.
- 2
Explore the table. Click any column header to sort ascending or descending. Use the search box to filter rows matching a keyword across all columns.
- 3
Expand nested data. Cells containing objects or arrays show a clickable label. Click to expand and see the full nested JSON structure.
- 4
Export to CSV. Click Copy CSV to copy the full dataset to your clipboard. Paste into Excel, Google Sheets, or any spreadsheet tool for further analysis.
- 5
Navigate large datasets. Tables with more than 25 rows are automatically paginated. Use the page controls at the bottom to move through the data.
Tips for Working with JSON Arrays
Not all JSON is ready for table display. The tool expects a top-level array where each element is an object. If your API returns a wrapper object like { "data": [...] }, extract just the array value before pasting. Keys do not need to be identical across objects — the viewer collects all unique keys and leaves cells blank where a key is absent.
For deeply nested JSON, consider flattening it beforehand using a JSON flattening tool or using dot-notation paths. However, this viewer handles one level of nesting natively by rendering expandable cells for object and array values.
Frequently Asked Questions
What is a JSON Table Viewer?
A JSON Table Viewer takes a JSON array of objects and renders it as an interactive HTML table. Each object becomes a row and each unique key becomes a column header, making structured data far easier to read and analyze than raw JSON text.
What format does the JSON need to be in?
The JSON must be an array of objects at the top level. Each object in the array becomes a table row, and all unique keys across objects are used as column headers. Nested objects and arrays are supported and displayed as expandable cells.
Can I sort and filter the table?
Yes. Click any column header to sort ascending, click again for descending. The search input above the table filters rows in real time — only rows where any cell contains the search term will be shown.
How does the tool handle nested objects?
Nested objects and arrays are shown as collapsible cells with a label like Object(3) or Array(5) and a short preview. Click the expand arrow to reveal the full nested structure formatted with proper indentation.
Can I export the table data as CSV?
Yes. Click the Copy CSV button to copy all rows (respecting your current sort and filter) to the clipboard in CSV format. Paste directly into Excel, Google Sheets, or any spreadsheet tool for further analysis.