How JSON to Excel conversion works
This tool reads your JSON file and converts data into a real Excel workbook (.xlsx). For best results, use an array of objects, where each object becomes one row. Nested objects are flattened into columns so you can open the result in Excel or Google Sheets. Everything runs directly in your browser, nothing is uploaded or stored anywhere, making it a good option for private data.
When to use this tool
JSON is great for apps and APIs, but Excel is often easier for review, reporting, and sharing. JSON to Excel helps when you need tables, filters, and workbooks.
- Spreadsheets: open API exports as an .xlsx file and work with them immediately.
- Reporting: turn nested data into flat, column-based tables.
- Sharing: send a clean Excel file to teammates or stakeholders.
- Cleanup: sort, filter, and scan rows faster in a sheet view.
Need the “reverse” direction (Excel → JSON)? Try our Excel to JSON Converter. If you need a CSV format instead, use this Excel to CSV Converter.
Step-by-step: from JSON to Excel
Converting your JSON takes just a few seconds:
- Add your JSON files. Drag and drop files into the box above, or click to choose from your device.
- Name your worksheet. Use a short sheet name (Excel limits names to 31 characters).
- Choose flattening. Pick dot notation or bracket notation for nested keys.
- Convert to Excel. Click Convert to Excel. The tool processes everything directly in your browser.
- Save your output. Save files one by one or use the “Save all” button once everything is ready.
Privacy, limits and how this tool treats your files
FileYoga is built around a simple rule: your files stay with you. JSON to Excel conversion runs locally in your browser, so your data is never uploaded to FileYoga servers.
Local-only conversion
Conversion runs locally in your browser on your device. Your JSON is not uploaded, and the Excel output is generated on your side.
No hidden copies
When you clear the list or close the tab, the tool stops using your files and does not save copies on a server.
No artificial limits
No paywalls or quotas. The only limits come from your device’s memory and your browser.
No account required
Use the converter without signing up. Open the page, convert your files, and leave when you are done.
If you are working with sensitive data (customer exports, internal reports, financial lists), this setup means you keep full control from start to finish.
Tips for best results
- Use a JSON file that contains an array of objects for the cleanest table output.
- If your JSON is deeply nested, flattening can create many columns. Consider simplifying the JSON first if you need a smaller sheet.
- Arrays inside objects are kept in one cell as JSON text to preserve one row per object.
- For very large JSON files, convert one file at a time to avoid browser memory pressure.
Troubleshooting
- Conversion fails: The JSON may be invalid (trailing commas, comments). Validate the JSON and try again.
- Sheet looks too wide: Deep nesting creates many columns. Flattening is correct, but you may want to reshape JSON before converting.
- Arrays look messy: Arrays are stringified to keep rows stable. If you need arrays expanded into multiple rows, reshape your JSON first.
- The tab freezes: Huge JSON files or very deep nesting can hit memory limits. Convert one file at a time and close other heavy tabs.
Frequently asked questions
No. Conversion runs locally in your browser. Your JSON is never uploaded to FileYoga servers, and the Excel file is generated on your device.
A JSON array of objects works best. Each object becomes one row, and keys become Excel columns.
Nested objects are flattened into one row using your chosen format, like user.name (dot) or user[name] (brackets), so headers stay stable.
Arrays are kept in a single cell as JSON text so the output stays “one object = one row.” If you need expanded rows, reshape your JSON first.
Excel guesses types when opening data. IDs, long numbers, or mixed values may display as text to avoid losing formatting. You can reformat columns in Excel if needed.
Leading zeros can be lost if a column is treated as a number. If a field must keep exact formatting (ZIP, SKU, account codes), format that column as Text in Excel.
The tool will try to find an array inside the object (common keys like data/items/results). If none is found, it converts the object as a single-row sheet.
No artificial limit. Very large or deeply nested JSON can slow your browser or hit memory limits—convert one file at a time if needed.