JSON to Excel Converter
Convert JSON data to Excel spreadsheet format. Paste your JSON, upload a file, or fetch straight from an API URL - then download as .xlsx instantly.
Conversion Options
How to Convert JSON to Excel
- Paste your JSON - Enter your JSON data in the text area, or upload a .json file.
- Click Convert - Our tool will parse your JSON and create an Excel spreadsheet.
- Preview and edit - See your data in a table and click any cell to fix a value before exporting.
- Download - Click the download button to save your Excel file.
About JSON to Excel Conversion
JSON (JavaScript Object Notation) is a popular data format for APIs and web applications. Converting JSON to Excel - or JSON to XLSX - makes it easier to analyze and share data with colleagues who prefer working with spreadsheets. This is also the fastest way to turn an API response into a JSON to spreadsheet export.
Our converter handles arrays of objects, converting each object to a row in Excel. Object keys become column headers. Nested objects are automatically flattened using dot notation (e.g., "address.city").
JSON Structures You Can Convert
Array of objects - the most common API shape. Each object is a row:
[
{ "name": "John", "email": "john@example.com" },
{ "name": "Jane", "email": "jane@example.com" }
]Nested objects - flattened with dot notation into separate columns (address.city, address.zip):
[
{ "name": "John", "address": { "city": "NYC", "zip": "10001" } }
]Arrays inside an object - your choice: expand lists of values into a comma-separated cell and lists of objects into indexed columns (items.0.name, items.1.name), or keep them as JSON text in one cell so nothing is dropped from the workbook.
Features
- Support for arrays of objects and single objects
- Dot-notation flattening of nested objects (optional)
- Array expansion into columns or comma-separated cells (optional)
- Custom worksheet name
- Live preview before download
- Download as standard .xlsx format
- 100% client-side processing for privacy
- No file size limits for reasonable data sizes