Free JSON to Excel converter — turn a JSON array into a downloadable .xlsx file in your browser

A list of records becomes rows; an object whose values are arrays becomes one sheet per key.

.xlsx

The .xlsx file is generated in your browser — your JSON is never uploaded.

📈 JSON to Excel Converter — Free Online Tool

Convert JSON to Excel (XLSX) online, free. JSON is the standard format for API and config data, but stakeholders often want a spreadsheet. This converter takes a JSON array of objects, treats each object's keys as column headers and each object as a row, and builds a genuine .xlsx (Office Open XML) workbook you can download and open in Excel, Google Sheets or Numbers — generated entirely in your browser.

🚀 Why use this JSON to Excel Converter tool?

A real, valid .xlsx workbook is produced client-side with the SheetJS library — not a CSV renamed to .xlsx — and your JSON is never uploaded; only the library is fetched from a CDN. 100% free, no registration, and complete privacy — everything runs locally in your browser, so your data never touches a server.

Key Features

📤Real .xlsx output

Generates a proper Office Open XML workbook that opens cleanly in Excel, Google Sheets and Numbers — not a CSV in disguise.

🧱Keys become columns

Each object's keys become the header row and each object becomes a data row, so your JSON structure maps directly to the sheet.

🗂️Multiple sheets

Pass an object mapping sheet names to arrays and the tool writes one worksheet per key in a single workbook.

🔒100% private

The workbook is built in your browser with SheetJS; your JSON never leaves the page, so it's safe for internal data.

Popular Use Cases

Sharing data

  • Hand API output to non-technical stakeholders
  • Turn a query result into a spreadsheet
  • Export records for review

Reporting

  • Build a downloadable report
  • Create an Excel attachment
  • Snapshot data for archiving

Workflows

  • Feed data into Excel formulas
  • Prepare an import template
  • Move JSON into a spreadsheet pipeline

What It Handles

Accepts

  • JSON array of objects
  • Object of arrays (multi-sheet)
  • Single object

Outputs

  • Downloadable .xlsx
  • Custom sheet & file name
  • Header row from keys

Privacy

  • Built in-browser (SheetJS)
  • JSON never uploaded
  • Library from CDN only

Sources & References

Frequently Asked Questions

How does JSON to Excel conversion work?

You provide a JSON array of objects. The tool uses the union of the objects' keys as the header row and writes each object as a data row, then encodes the result as a real .xlsx (Office Open XML) workbook that downloads to your device.

Does it produce a real Excel file or just a CSV?

A real .xlsx workbook. It uses the SheetJS library to build a proper Office Open XML file with a worksheet, so Excel, Google Sheets and Numbers open it natively — no 'file format doesn't match' warnings that happen when a CSV is renamed to .xlsx.

Can I create a workbook with several sheets?

Yes. Instead of a single array, pass an object whose keys are sheet names and whose values are arrays of row objects — for example {"Users": [...], "Orders": [...]}. The tool writes one worksheet per key.

Is there a free alternative to CodeBeautify's JSON to Excel tool?

Yes — this converter is free, needs no signup, and builds the .xlsx entirely in your browser so your JSON is never uploaded. It supports custom sheet and file names plus multi-sheet workbooks.

What if my objects have different keys?

Rows are written by key, so objects with missing keys simply leave those cells blank, and any new key appears as an additional column. For the cleanest spreadsheet, keep your objects' shapes consistent.

Is my JSON sent to a server?

No. The workbook is generated locally in your browser via SheetJS; only the library is fetched from a CDN. Your JSON data never leaves the page.

🎓 Pro Tips

  • Tip 1: Give every object the same set of keys so the spreadsheet has consistent columns and no stray blank cells.
  • Tip 2: Worksheet names are capped at 31 characters by the Excel format — keep sheet keys short when building multi-sheet workbooks.
  • Tip 3: Flatten nested objects before converting; a cell can hold a value but not a nested structure, which would otherwise serialize as [object Object].