Paste valid JSON to load the live spreadsheet preview
Arrays of objects map cleanly to rows; single objects and wrapped arrays are supported too
Review and edit an interactive spreadsheet preview before downloading.
Flatten nested fields into readable columns or preserve nested values as JSON text.
Download XLSX by default, with XLS, CSV, and ODS options available locally.
Convert and export locally in your browser without uploading the JSON for spreadsheet generation.
JSON to Excel Converter is designed for the point where JSON needs a spreadsheet-friendly shape but you still need to verify the rows and columns. It gives you a usable grid before download, making it easier to catch an awkward nested field or a missing header before the file leaves the browser.
JSON to Excel Converter turns valid JSON into an editable spreadsheet preview, then downloads the current grid as an XLSX workbook. Select a preview cell to highlight its matching source field in the JSON editor, which helps you trace a spreadsheet value back to its original path.
This workflow is useful when you need to hand JSON to someone who works in a spreadsheet, prepare a quick operational export, or verify that a nested payload will become sensible rows and columns before saving it as a file.
Arrays of objects are the most natural input for JSON to Excel Converter: each object becomes a row and its properties become columns. Consistently shaped records create the clearest spreadsheet, while fields missing from an individual object appear as an empty cell in that row.
Single objects, primitive arrays, and a single-key wrapper around an array can also be converted. Before export, inspect the preview to make sure the table matches the way the recipient expects to filter, sort, or edit the data.
Enable flattening in JSON to Excel Converter to create fields such as customer.name and indexed array paths. This keeps the source relationship visible in the column names instead of silently dropping nested data during a spreadsheet conversion.
Turn flattening off when it is more useful to retain a nested object or array as JSON text in one cell. Use the JSON Validator to validate source JSON before building a workbook from it.
The editable preview is the main difference between JSON to Excel Converter and a simple file generator. Use it to check column names, row values, and the effect of your flattening choice while the JSON source remains available for reference.
When the current grid has the right shape, download it in the format your recipient needs: XLSX, XLS, CSV, or ODS. The available formats let you choose a modern workbook, a legacy spreadsheet, a plain-text table, or an OpenDocument spreadsheet without rebuilding the conversion.
Reference demo
A nested customer record becomes an editable spreadsheet row, with the nested city kept visible as its own column.
Review or edit the preview, then download the result as XLSX, XLS, CSV, or ODS.
Reference demo
Each object in an order array becomes a spreadsheet row, ready for filtering, sorting, or a quick operational handoff.
A missing property in one record appears as an empty preview cell rather than shifting the remaining columns.
Reference demo
Use the editable preview when you need to verify that a spreadsheet value still corresponds to the right JSON field before export.
Selecting the total cell highlights the matching source field, making it easier to review a spreadsheet value in its original JSON context.
Choose Excel when you need an editable preview or workbook format. Choose CSV when a plain-text table is enough; you can also convert JSON to CSV for lightweight imports and exchange.
To review fields before either export, use the Table Editor to inspect JSON as a table.
Paste or import valid JSON, review the editable spreadsheet preview, then download the current grid as XLSX, XLS, CSV, or ODS. Arrays of objects give the clearest spreadsheet rows.
Yes. Arrays of objects map to rows, while single objects, primitive arrays, and a single-key wrapper around an array are also supported. Nested objects can be flattened into columns or kept as JSON text in cells.
Flatten nested data creates columns with dot notation such as user.address.city and indexed array paths such as items[0].name. Turning flattening off preserves nested structures as JSON strings in spreadsheet cells.
The converter supports XLSX for modern Excel, XLS for legacy compatibility, CSV for lightweight exchange, and ODS for OpenDocument workflows. You can set a sheet name and include or omit headers.
Yes. The tool shows an editable spreadsheet-style preview. You can change settings, edit cells, and select a cell to highlight matching fields in the JSON editor before export.
Yes. Choose the sheet name, header row, nested-field flattening, and export format. Optional preview-to-JSON sync can write grid edits back to the source editor as a top-level array.
Yes. JSON parsing, preview generation, editing, and workbook downloads run in your browser.
Yes. Downloads reflect the current preview, including manual cell edits. Check the header row and flattening choice before export so spreadsheet columns match the intended data shape.
Conversion and export run in your browser. Keep the source JSON nearby when the workbook is used for review, handoff, or a round-trip data workflow.
