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JSON to Excel Converter

JSON is the lingua franca of web APIs and modern data systems, but analysts, managers, and business users often need to explore, filter, pivot, and visualize that data in Excel. Converting JSON to Excel transforms nested, hierarchical data structures into organized spreadsheet rows and columns with proper data typing, making it immediately accessible for analysis, charting, and reporting. SublimePDF flattens nested JSON objects, handles arrays intelligently, and produces clean Excel files with formatted headers and auto-sized columns.

Convert JSON to Excel instantly in your browser β€” no file uploads, no registration, and completely free.

Drop your JSON files here

or click to browse β€” up to 50MB

How to Convert JSON to Excel Online

1

Upload your JSON file

Drag and drop your .json file or paste raw JSON data directly. Arrays of objects, nested structures, and large datasets are all supported.

2

Configure spreadsheet mapping

Choose how to flatten nested objects (dot-notation keys, e.g., 'address.city'), how to handle arrays (join as comma-separated, or expand into separate rows), and select the root data path if your JSON is deeply nested.

3

Preview the spreadsheet layout

Review how your JSON data maps to columns and rows. Adjust column ordering, rename headers, and verify that data types (numbers, dates, text) are detected correctly.

4

Download your Excel file

The .xlsx file opens in Microsoft Excel, Google Sheets, or LibreOffice Calc with formatted headers, auto-sized columns, and properly typed cell data.

JSON to Excel Converter Features

Intelligent flattening of nested JSON objects into spreadsheet columns
Automatic data type detection: numbers, dates, booleans, and text
Configurable array handling: expand rows, join values, or create separate sheets
Formatted output with header styling, auto-sized columns, and data filters
Supports JSON arrays, objects, and deeply nested structures
Multiple JSON root path selection for complex API responses
100% free β€” no registration required
Files processed in your browser (never uploaded)

When to Convert JSON to Excel

  • Convert API response data to Excel for business analysis and reporting
  • Transform JSON log files into spreadsheets for filtering and trend analysis
  • Convert JSON product feeds into Excel for catalog review and bulk editing
  • Import JSON configuration exports into Excel for auditing and documentation
  • Transform JSON survey or form submission data into Excel for statistical analysis

About JSON and Excel

What is JSON?

JavaScript Object Notation (.json) β€” A lightweight data format commonly used in web APIs and configuration files. Learn more about JSON β†’

What is Excel?

Microsoft Excel Spreadsheet (.xls, .xlsx) β€” The standard spreadsheet format for organizing, analyzing, and visualizing data. Learn more about Excel β†’

Privacy & Security

Your files never leave your device. All conversion happens locally in your browser using WebAssembly technology.

JSON to Excel Conversion FAQ

How are nested JSON objects handled in Excel?
Nested objects are flattened using dot-notation column names (e.g., a JSON path 'user.address.city' becomes a column named 'user.address.city'). You can customize the separator and depth limit.
What happens to JSON arrays within objects?
You can choose to join array values into a single cell (comma-separated), expand each array item into a separate row, or create a separate sheet for each array. The best option depends on your data structure.
Will numbers and dates be properly formatted in Excel?
Yes. The converter detects numeric values and ISO date strings, setting the appropriate Excel cell format so numbers are calculable and dates are sortable.
What's the maximum JSON file size supported?
The converter handles JSON files up to 100 MB. Since processing happens in your browser, performance depends on your device's memory and processing power.
Can I convert JSON Lines (JSONL) format?
Yes. JSON Lines files (one JSON object per line) are automatically detected and each line is treated as a separate row in the spreadsheet.