JSON → Excel

Paste your JSON into the editor and export it as a real, styled .xlsx workbook. Arrays of objects become tables with bold headers and auto-filters; nested objects and lists each get their own sheet — so the file opens ready to work with in Excel or Google Sheets.

The converter reads the shape of your JSON and builds the workbook accordingly:

A top-level array of objects becomes a single sheet named "data" — each object is a row, keys become column headers.

A top-level object is split across multiple sheets:

• Scalar fields (strings, numbers, booleans) are collected into one Overview sheet — one column per field, one row of values
• Each array of objects becomes its own table sheet with headers and an auto-filter
• Each array of primitives becomes a list sheet with an index column
• Each nested object becomes its own sheet, flattened with dotted paths (e.g. address.city) as column headers and a single row of values

This means a single JSON document with several nested collections turns into a proper multi-tab workbook instead of one flat, hard-to-read sheet.

Everything runs client-side using ExcelJS — no server, no upload.

Steps:

1. Paste your JSON into the editor
2. The tool analyzes its structure and shows a live preview of the sheets it will create
3. Click Export Excel — the workbook is built in memory with styled header rows, column widths sized to fit content, and auto-filters on table sheets
4. The file downloads immediately as output.xlsx

Because the file is a real .xlsx (OOXML) document, formatting like bold headers and column widths survives when it's opened in Excel, Google Sheets, or LibreOffice Calc — unlike a CSV, which is plain text with no styling at all.

Use JSON to Excel when you want a polished, ready-to-share file: multiple related tables in one workbook, bold headers, and column widths that don't need manual adjustment.

Use JSON to CSV when you need the simplest possible flat format — for example, importing a single table into a database or a script that only understands plain CSV rows.

Both tools run entirely in the browser, so your data never leaves your machine either way.