JSON to Excel Converter

Convert a JSON array into a downloadable Excel file in your browser — object keys become the columns. Built locally, so your data is never uploaded.

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Quick Answer

Paste a JSON array of objects and the tool builds a downloadable .xlsx file, using the object keys as the column headers and each object as a row. It checks the JSON is valid first. It expects a flat array of objects and writes a single sheet. Everything is built in your browser, so your data is never uploaded.

What the JSON to Excel Converter Does

This tool turns JSON data into a real Excel spreadsheet. Give it an array of objects and it creates an .xlsx with a header row from the keys and one row per object, then offers it for download — a genuine Excel file, not a CSV.

It is the quick way to hand JSON data to someone who works in Excel, or to get an API response into a spreadsheet for sorting, filtering and charting, without any server-side conversion.

How It Works

The tool parses your JSON to confirm it is valid, then loads a spreadsheet library in your browser. It reads the array of objects, takes the keys from the objects as the column headers, writes each object as a row, and saves the result as an .xlsx file you can download.

It all runs locally. The spreadsheet is assembled in the page from the JSON you paste, so the data never leaves your device — there is no upload, and the file is generated entirely in your browser.

Data source & conversion logic

  1. Validate the JSON. Parse the pasted text to confirm it is a valid JSON array of objects.
  2. Read the keys as columns. Take the object keys as the spreadsheet's header row.
  3. Write each object as a row. Map every object to a row of cells under the matching columns.
  4. Build and download. Assemble the worksheet into an .xlsx file and offer it for download.

Array to sheet mapping

array of objects → object keys become the header row each object → one row of cells output → a single-sheet .xlsx file
Worked example
[ {"name": "Alice", "age": 30}, {"name": "Bob", "age": 25} ] → a 2-column sheet (name, age) with two rows

It expects a flat array of objects. Columns come from the keys; a key missing in some objects leaves blank cells, and nested objects or arrays do not map cleanly to single cells.

Privacy

Your JSON never leaves your device. The Excel file is built in your browser with no network request, so nothing is uploaded.

Because the work is local, you can turn private or business JSON into a spreadsheet without it being stored or sent anywhere.

Nothing persists between sessions — close the tab and the JSON and the generated file are gone.

Standards & references

  • Office Open XML (.xlsx) — The output is a real .xlsx file in the modern Excel format (ECMA-376), which opens in Excel, Google Sheets, LibreOffice and other spreadsheet apps — not a CSV.
  • Keys as columns — The column headers come from the object keys, in the order they first appear. A flat array of objects with consistent keys gives the cleanest spreadsheet.
  • Flat data — Spreadsheets are two-dimensional, so a flat array of simple objects maps best. Nested objects and arrays do not have a natural single-cell representation.

Accuracy & Limitations

For a flat array of objects with consistent keys, the spreadsheet is an exact, tidy representation — a header row from the keys and one row per object, ready to open in Excel.

It expects an array of objects. A single object, a primitive, or deeply nested data will not map to a clean table, and nested objects or arrays inside a record do not have a natural single-cell form, so flatten the data first if needed.

Columns come from the keys as they first appear. If some objects have keys that others lack, those cells are simply blank in the rows that miss them, which is usually the sensible result.

It writes a single sheet named generically. For multiple sheets, or specific formatting, formulas or styling, build the workbook in Excel or a fuller library — this tool produces a clean data sheet, not a formatted report.

Real-World Use Cases

Sharing data with Excel users

Turn a JSON array into a spreadsheet a colleague can open.

Exporting an API response

Get JSON data into Excel for sorting and filtering.

Reviewing data in a grid

Open JSON records as rows and columns to scan them.

Creating a quick report

Produce an .xlsx starting point from structured data.

When to use it — and when not to

Good for

  • A flat JSON array into a real .xlsx
  • Keys as columns, objects as rows
  • Handing data to Excel users
  • Local, private conversion

Not the best choice for

  • Nested or deeply structured JSON
  • Multiple sheets in one file
  • Formulas, styling or a formatted report
  • A single object rather than an array

For nested JSON, flatten it to a flat array of objects first. For multiple sheets or formatting, build the workbook in Excel or a fuller library. For the reverse direction, use an Excel-to-JSON converter.

Frequently Asked Questions

What JSON shape does it expect?
A flat array of objects, such as a list of records. The object keys become the columns and each object becomes a row, which maps naturally onto a spreadsheet.
Is the output a real Excel file?
Yes, a genuine .xlsx in the modern Excel format — not a CSV renamed. It opens in Excel, Google Sheets, LibreOffice and other spreadsheet applications.
What happens to nested objects or arrays?
They do not map cleanly to a single cell, since a spreadsheet is flat. Flatten nested data into top-level keys before converting, or those values may not appear as you expect.
How are the columns ordered?
By the order the keys first appear across the objects. For a predictable layout, use objects with the same keys in the same order.
What if some objects are missing a key?
Those cells are left blank in the rows that lack the key. The column still appears if any object has the key, so the table stays aligned.
Is my JSON uploaded anywhere?
No. The Excel file is built entirely in your browser. Nothing is sent to a server, so private data stays on your device.
Does it validate the JSON first?
Yes. It parses the JSON before building the file, so invalid JSON is rejected rather than producing a broken spreadsheet. A successful build means the JSON was valid.
Can it create multiple sheets?
No, it writes a single sheet. For a multi-sheet workbook, assemble it in Excel or with a fuller spreadsheet library after exporting each array.
Does it add formulas or formatting?
No. It writes plain data — headers and values. Formulas, styling and formatting are not added, so the result is a clean data sheet rather than a formatted report.
Will dates or numbers be typed correctly?
Numbers come through as numbers and text as text. A date written as a string stays a string; to have Excel treat it as a date, you may need to format that column after opening.
How large a JSON array can it handle?
It works within your browser's memory. Typical arrays convert instantly; very large datasets may be slower since the whole file is built in the page.
Why choose .xlsx over CSV?
An .xlsx preserves data types better and opens directly as a formatted grid, whereas CSV is plain text that Excel may re-interpret. For a true spreadsheet, .xlsx is the better target.

References

Builds an .xlsx from a JSON array of objects with the SheetJS library, using the keys as the header row; honest that it expects flat objects and writes a single sheet.

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