JSON to Excel Converter — Free, Instant & No Upload Required

What is JSON to Excel Conversion?

JSON to Excel conversion transforms structured JSON data into a tabular CSV format that can be opened directly in Microsoft Excel, Google Sheets, or any spreadsheet application.

How to Use This Tool

1. Paste your JSON data into the editor
2. Click the "Convert to Excel" button
3. Preview the data in the live spreadsheet view
4. Download and open in Excel or Google Sheets

• Automatic flattening of nested JSON
• Compatible with Excel, Google Sheets, LibreOffice
• Proper CSV formatting with escaping
• Instant download as .xlsx or .csv file
• No data uploaded to servers

Smart Flattening of Nested JSON

Our converter uses intelligent dot notation flattening to handle nested JSON objects. This ensures complex hierarchical data becomes readable columns in your spreadsheet.

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{
  "user": {
    "name": "John",
    "address": {
      "city": "NYC"
    }
  }
}

This dot notation approach makes it easy to filter, sort, and analyze nested API responses in Excel without manual data restructuring.

JSON Data Types → Excel Column Mapping

When converting JSON to Excel, each JSON data type is mapped to a specific Excel cell format. Understanding this mapping helps you predict exactly how your data will appear in your spreadsheet.

Note on null values: Empty cells in Excel are treated differently than zero or empty string. JSON null maps to a blank cell, which means COUNTA() will skip it — useful for data validation in Excel.

Common Use Cases: Who Uses JSON to Excel Conversion?

JSON to Excel conversion is an essential step in many developer and analyst workflows. Here are the most common real-world scenarios where this tool saves hours of manual work:

XLSX vs CSV vs XLS — Which Format Should You Download?

This tool exports your JSON data in both .xlsx and .csv formats. Here is exactly when to use each format:

Performance Benchmark: How Large a JSON File Can You Convert?

Because this tool processes data entirely in your browser (client-side), performance depends on your device's memory and CPU — not server limits. Below are tested benchmarks across common JSON sizes:

Convert JSON to Excel Programmatically

Need to automate JSON to Excel conversion in your pipeline? Here are the most common code approaches. For one-off or quick conversions, the tool above is significantly faster than writing code.

import pandas as pd
import json

# Load your JSON file
with open('data.json', 'r') as f:
    json_data = json.load(f)

# Flatten nested JSON automatically
df = pd.json_normalize(json_data)

# Export to Excel (.xlsx)
df.to_excel('output.xlsx', 
            index=False,
            engine='openpyxl')

print(f"Exported {len(df)} rows to Excel")

const XLSX = require('xlsx');

const jsonData = [
  { name: "Alice", age: 30, city: "NYC" },
  { name: "Bob",   age: 25, city: "LA"  }
];

// Convert JSON array to worksheet
const ws = XLSX.utils.json_to_sheet(jsonData);

// Create a new workbook
const wb = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(wb, ws, "Sheet1");

// Save as .xlsx
XLSX.writeFile(wb, 'output.xlsx');

Frequently Asked Questions