JSON to Excel Converter
Convert JSON files to Excel XLSX spreadsheets online for free. Arrays of objects become rows and columns, nested objects are flattened automatically. No software needed. Up to 100 MB.
Drop your JSON file hereTap to choose your JSON file
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How to Convert JSON to Excel
Upload
Drag and drop your JSON file into the converter above, or click Choose JSON File to browse your device.
Convert
Click Convert to Excel. Our server parses your JSON and maps it to spreadsheet rows and columns. Takes a few seconds.
Download
Click Download XLSX to save the converted Excel spreadsheet. That's it — no registration, no email required.
Convert JSON to Excel on Any Device
On Windows
While you could write a VBA macro or use Power Query to import JSON into Excel, both approaches require technical knowledge and manual configuration for each file. Our online converter handles it instantly — upload your JSON from any Windows browser, and download a ready-to-use XLSX file that opens directly in Microsoft Excel with all data properly mapped to rows and columns.
On Mac
Excel for Mac supports XLSX natively, but importing JSON data into it typically requires third-party tools or scripting. Our online converter eliminates that friction — just upload your JSON file from Safari, Chrome, or Firefox on macOS and download a clean XLSX spreadsheet. The file opens in Excel for Mac, Numbers, or Google Sheets without any additional steps.
On Linux
Linux users often reach for command-line tools like jq combined with CSV conversion, but that loses data types and requires chaining multiple tools. Our online converter produces a proper XLSX file with correct data types (numbers, text, dates) directly from your JSON. Works in any Linux browser — Firefox, Chrome, or Chromium — and the output opens in LibreOffice Calc.
On Mobile
JSON files are nearly impossible to analyze on a phone or tablet without developer tools. Converting your JSON to Excel makes the data viewable and searchable in any mobile spreadsheet app. Our converter works on iPhone, iPad, and Android — upload from your browser, convert, and open the XLSX in Microsoft Excel mobile, Google Sheets, or Apple Numbers.
What is JSON?
JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format. It is the most widely used format for APIs, configuration files, and data exchange between web services. JSON is human-readable and easy to parse by machines, which has made it the de facto standard for data transfer on the web.
A JSON file can contain objects (key-value pairs enclosed in curly braces), arrays (ordered lists enclosed in square brackets), strings, numbers, booleans, and null values. The most common structure for tabular data is an array of objects, where each object represents a row and the keys represent column names.
The main limitation of JSON for data analysis is that it is not designed for spreadsheet-style work. You cannot sort, filter, create formulas, build charts, or perform calculations directly on JSON data. Converting JSON to Excel gives you access to all of these analytical capabilities while preserving your data structure.
What is XLSX (Excel)?
XLSX is the default file format for Microsoft Excel, introduced in 2007 as part of the Office Open XML (OOXML) standard. An XLSX file is a ZIP archive containing XML files that describe spreadsheet data, formatting, formulas, charts, and metadata. It is the most widely used spreadsheet format in the world.
Excel spreadsheets organize data in rows and columns, making it easy to sort, filter, search, and analyze structured data. Excel supports formulas (SUM, VLOOKUP, IF, etc.), pivot tables, conditional formatting, data validation, charts, and visualization tools that transform raw data into actionable insights.
Because XLSX uses ZIP compression internally, files are compact and efficient. A JSON file with 100,000 records might be 50 MB as raw text, but the equivalent XLSX can be under 10 MB. XLSX is natively supported by Microsoft Excel, Google Sheets, LibreOffice Calc, Apple Numbers, and virtually every modern spreadsheet application.
JSON vs Excel: Quick Comparison
| Feature | JSON | Excel (XLSX) |
|---|---|---|
| Format type | Text-based data interchange | XML inside ZIP archive (spreadsheet) |
| Human readability | Readable in text editors | Visual grid with formatting |
| Data analysis | Requires programming | Built-in sort, filter, pivot tables |
| Formulas | Not supported | Full formula engine (SUM, VLOOKUP, etc.) |
| Charts & visualization | Not supported | Built-in charts, sparklines, conditional formatting |
| Nested data | Native support (objects, arrays) | Flat rows and columns |
| Data types | String, number, boolean, null, array, object | Text, number, date, boolean, formula |
| File compression | None (plain text) | ZIP compression (smaller files) |
| API compatibility | Universal (web standard) | Limited (requires parsing libraries) |
| Sharing with non-technical users | Difficult (requires developer tools) | Easy (everyone knows Excel) |
| Best for | APIs, data exchange, configuration, web services | Data analysis, reporting, sharing, business workflows |
Why Convert JSON to Excel?
Analyze data without coding
JSON is designed for machines, not for data analysis. To explore JSON data, you typically need Python, JavaScript, or other programming skills. Converting to Excel gives you instant access to sorting, filtering, pivot tables, and formulas — no code required. Business analysts, marketers, and project managers can work with the data immediately.
Share data with non-technical stakeholders
When you need to share API data, analytics exports, or database dumps with colleagues who do not write code, Excel is the universal language. Everyone knows how to open and navigate a spreadsheet. Converting JSON to XLSX eliminates the need to explain data structures or install special tools — recipients simply open the file in Excel or Google Sheets.
Create reports and visualizations
Excel offers powerful reporting capabilities that JSON cannot match: charts, conditional formatting, sparklines, data bars, and pivot tables. By converting your JSON data to Excel, you can build visual dashboards and reports directly from the data without any intermediate processing or additional software.
Clean and transform data
Excel provides tools for data cleaning that work well with converted JSON: find and replace, text-to-columns, duplicate removal, data validation, and conditional filtering. If your JSON contains messy or inconsistent data, converting to Excel lets you clean it up using familiar spreadsheet tools before feeding it back into your pipeline.
Frequently Asked Questions
{"address": {"city": "London", "zip": "EC1A"}} becomes two Excel columns: "address.city" and "address.zip". This preserves the hierarchical relationship in a flat spreadsheet format that is easy to filter and sort. Deeply nested structures (3+ levels) are also supported — each level adds another dot-separated segment to the column name.
[{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}] produces a spreadsheet with columns "name" and "age" and two data rows. If objects have different keys, all unique keys are collected and missing values are left as empty cells.