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JSON to Excel Converter

Convert JSON data into clean Excel spreadsheets (.xlsx). Features smart flattening of nested objects, live tabular preview, and zero server uploads.

Quick Actions:
JSON Input (Array or Object) 0 lines
Valid Table Ready
0 rows • 0 columns
Excel Spreadsheet Preview 0 rows × 0 cols
✓ Automatic Dot-Notation Flattening: Nested fields (e.g. `contact.email`, `location.city`) are formatted as separate spreadsheet columns. 100% Client-Side In-Memory Processing

كيف يعمل

المعادلة الرياضية

JSON Object Array → Flatten Nested Keys (dot notation) → Worksheet Columns → Workbook (.xlsx)

مثال توضيحي

Converting '[{"id": 1, "user": {"name": "Alice", "email": "alice@example.com"}, "active": true}]' flattens into columns 'id', 'user.name', 'user.email', and 'active' with ready-to-open Excel rows.

Fast, Secure Client-Side JSON to Excel Conversion

Data analysts, developers, and product managers frequently need to inspect API responses or database dumps in spreadsheet software. Most online converters transmit sensitive business data to third-party servers. Our JSON to Excel converter operates strictly inside your browser memory—no network requests, no telemetry, and complete data privacy.

Supported JSON Structures

The tool automatically accepts either:

  1. Array of Objects: [{"id": 1, "product": "Widget"}, {"id": 2, "product": "Gear"}] (the standard tabular data structure).
  2. Single Object: {"status": "ok", "count": 42} (converted to a single-row spreadsheet).
  3. Wrapped Data Payload: {"data": [...], "page": 1} (automatically detects the internal records array).

Smart Nested Key Flattening

When your data contains nested hierarchies:

{
  "orderId": "ORD-109",
  "customer": {
    "name": "Sarah Connor",
    "location": {
      "country": "USA",
      "state": "CA"
    }
  },
  "total": 149.99
}

The converter transforms this into flat column headers: orderId | customer.name | customer.location.country | customer.location.state | total

الأسئلة الشائعة

Is my JSON data uploaded to any server?

No. The entire conversion process runs locally in your browser using client-side JavaScript. Your data never leaves your device.

How are nested objects and sub-properties handled?

Nested objects are automatically flattened using standard dot notation (e.g. `{"address": {"city": "Berlin"}}` becomes the column header `address.city`).

Can it handle arrays of objects with differing keys?

Yes. The converter scans all objects in the input array to construct a comprehensive master column list, leaving empty cells for objects where specific optional keys are absent.

What format is the downloaded file?

The file is exported in native Microsoft Excel OpenXML format (`.xlsx`), fully compatible with Excel 2007+, Google Sheets, LibreOffice Calc, and Apple Numbers.

آخر تحديث: 19 مارس 2026