Convert JSON data to Excel spreadsheet online free - no login. Paste a JSON array and download a formatted .xlsx file instantly, with automatic column headers from object keys.
JSON is the standard format for API responses and data exports, but non-technical stakeholders work in Excel. Converting API data to a spreadsheet for review, sharing, or further analysis is a routine workflow - this handles it without writing a script.
Paste or upload a JSON array and convert it to an Excel (.xlsx) spreadsheet. Each object becomes a row; each key becomes a column header. Download the result instantly.
Convert API response data to Excel for stakeholder reporting, export JSON database records to Excel for non-technical review, convert JSON analytics data to a spreadsheet for further analysis, transform JSON configuration data to Excel for business team editing, export JSON test data to Excel for QA review, and convert JSON product catalog data to Excel for a purchasing team.
The most common question is how the converter handles nested objects within the JSON. Top-level arrays of flat objects convert cleanly to rows and columns. Deeply nested objects are typically flattened (parent.child key naming) or represented as stringified JSON in a single cell - the output depends on nesting depth and structure.
Paste your JSON array of objects into the input area.
See a live table preview of the data before exporting.
Select which keys to include as columns.
Click download to save the .xlsx file to your device.
Common questions about this tool and how to use it.
A JSON array of flat objects maps cleanly to Excel: each object becomes a row, each key becomes a column header, and values fill the cells. Example: [{"name":"Alice","age":30},{"name":"Bob","age":25}] becomes a spreadsheet with columns 'name' and 'age' and two data rows. The converter auto-detects all unique keys across all objects to create a complete column list - objects missing some keys leave those cells empty.
Nested JSON (objects within objects) requires flattening before it maps to a spreadsheet. Common approaches: dot notation flattening - {"address":{"city":"London"}} becomes a column named 'address.city'. Stringification - the nested object is stored as a JSON string in a single cell. Ignoring nested keys - only top-level properties create columns. Check the converter's output for your specific JSON structure to see how nesting is handled.
Excel (.xlsx) preserves data types - numbers stay as numbers, dates as dates, booleans as TRUE/FALSE - rather than converting everything to strings as CSV does. Excel also supports multiple sheets, formulas, formatting, and filters natively. For data that will be reviewed or further processed in Excel, the .xlsx format provides a richer experience. For maximum compatibility across different systems and languages, CSV is simpler; for human-reviewed spreadsheets, Excel is better.
Browser-based JSON-to-Excel conversion is limited by available browser memory - typically a few hundred MB. For JSON arrays, Excel has a row limit of 1,048,576 rows. If your JSON has more objects than this, the conversion will be truncated. For very large datasets (millions of records), a server-side conversion script or a tool like Python pandas is more appropriate than a browser-based converter.
Copy the JSON response from your API tool (Postman, curl output, browser DevTools Network tab). Paste into the JSON input field. If the response is a nested object rather than a top-level array, extract the array first - most APIs wrap results: {"data": [{...}, {...}]}. Paste just the array portion. Download the .xlsx and open in Excel. For recurring reports, consider automating this with a script rather than repeating manually.
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