JSON to Excel Converter – Convert JSON to XLSX Online

Convert JSON to Excel (.xlsx) or CSV instantly — handles nested JSON with dot notation flattening. 100% browser-based: your data never leaves your device. Works with Excel, Google Sheets, and LibreOffice.

100% Private – All processing happens in your browser. We never upload or store your data.

Convert JSON to Excel Online

JSON to Excel conversion turns structured JSON data into a spreadsheet-friendly format that you can open and analyze in Microsoft Excel, Google Sheets, or LibreOffice. This JSON to Excel converter is designed for quickly converting JSON objects and arrays into rows and columns without manually restructuring the data.

Paste your JSON into the converter above, convert the data, preview the resulting table, and download the generated output. The tool also handles nested JSON by flattening nested properties into readable column names.

How to Convert JSON to Excel

You can convert a JSON file or JSON data to an Excel-compatible spreadsheet in a few simple steps:

  1. Paste your JSON: Add your JSON data to the editor above.
  2. Validate the JSON: Make sure the input is valid JSON before converting it.
  3. Convert the data: Click the Convert to Excel button.
  4. Preview the result: Review the generated rows and columns in the live data preview.
  5. Download the result: Download the available Excel-compatible or CSV output for use in spreadsheet applications.

Convert JSON to XLSX

XLSX is the modern Excel workbook format used by current versions of Microsoft Excel. If your goal is to work with JSON data in Excel, converting JSON to XLSX-style spreadsheet output makes the data easier to inspect, filter, sort, and analyze.

The converter is useful when you have JSON from an API, application export, database, analytics workflow, or another structured data source and need a spreadsheet-friendly result.

When should you use XLSX?

  • When you want to analyze JSON data in Excel.
  • When you need a spreadsheet-friendly representation.
  • When you want to review API or application data visually.
  • When you need to share structured data with non-developers.

Convert JSON to XLS

XLS is the older Excel spreadsheet format, while XLSX is the newer format used by modern versions of Microsoft Excel. If you are working with an older Excel workflow, you may see searches for JSON to XLS or JSON to XLS converter.

For most modern workflows, XLSX is generally the preferred spreadsheet format. CSV is also useful when the destination system only requires simple tabular data.

JSON to Spreadsheet Conversion

JSON and spreadsheets represent data differently. JSON is designed for structured data exchange, while a spreadsheet organizes information into rows and columns. Converting JSON to a spreadsheet makes API responses and structured datasets easier for people to review and analyze.

JSON

Best for APIs, applications, structured data exchange, configuration, and machine-readable data.

Spreadsheet

Best for reviewing, filtering, sorting, reporting, and analyzing tabular data.

How to Convert Nested JSON to Excel

Nested JSON contains objects inside other objects. This is common in REST API responses and application data. To make nested information usable in a spreadsheet, nested properties need to be represented as columns.

Example of Nested JSON

{
  "name": "John",
  "address": {
    "city": "New York",
    "country": "USA"
  }
}

Flattened Spreadsheet Columns

JSON PropertySpreadsheet Value
nameJohn
address.cityNew York
address.countryUSA

Using flattened column names such asaddress.citymakes nested values easier to filter and analyze in a spreadsheet.

Convert JSON Array to Excel Rows

JSON arrays containing multiple objects are one of the most common formats returned by APIs. Each object can represent one record, while the object properties become spreadsheet columns.

[
  {
    "id": 1,
    "name": "Alice",
    "city": "New York"
  },
  {
    "id": 2,
    "name": "Bob",
    "city": "Chicago"
  }
]

The resulting table can be represented as columns such as id, name, and city, with each JSON object represented as a separate row.

JSON Data Types and Spreadsheet Columns

Understanding how common JSON values are represented in a spreadsheet helps you predict the structure of the converted data.

JSON TypeExampleSpreadsheet Representation
String"John"Text value
Number42Numeric value
BooleantrueTRUE/FALSE value
NullnullEmpty value
Object{"city":"NYC"}Flattened properties
Array["A","B"]Array values
Array of Objects[{"id":1},{"id":2}]Multiple records

JSON to Excel vs JSON to CSV

Both spreadsheet-compatible output and CSV are useful, but they serve different purposes. Choose the format based on what you plan to do with the converted data.

JSON to ExcelJSON to CSV
Better for spreadsheet analysisBetter for simple tabular data exchange
Convenient for Excel usersUseful for scripts and database imports
Easy to inspect visuallyLightweight plain-text format

Common JSON to Excel Use Cases

REST API Data

Convert API responses into rows and columns for easier review and reporting.

E-commerce Data

Review product, order, customer, or transaction data returned as JSON.

Analytics Data

Turn structured analytics or reporting responses into spreadsheet-friendly data.

Database Exports

Review JSON exports from applications, databases, and NoSQL systems.

Data Analysis

Move structured JSON data into a spreadsheet for filtering and inspection.

Business Reporting

Make machine-readable JSON easier for business teams to understand and use.

Is JSON to Excel Conversion Safe?

Privacy is especially important when JSON contains customer information, API responses, internal records, or other sensitive data. This converter processes the supplied data in the browser rather than requiring you to send the JSON to a conversion service.

Browser-based processing

Your JSON is processed by the converter in your browser. Avoid entering secrets such as passwords, private API credentials, or authentication tokens into any online tool unless you understand how the tool handles your data.

When Should You Convert JSON to Excel?

JSON is excellent for applications and APIs, but it is not always the easiest format for people to inspect. Converting JSON to Excel is useful when you need a human-readable view of structured data.

  • You need to inspect API response data.
  • You want to filter or sort records in a spreadsheet.
  • You need to share structured data with a business team.
  • You want to prepare JSON data for reporting.
  • You need a quick visual representation of JSON records.

JSON to Excel Converter Features

Convert JSON data into spreadsheet-friendly rows and columns
Handle JSON arrays and objects
Flatten nested JSON properties
Preview converted data before downloading
Copy converted output
Download CSV output
Browser-based processing
Works with common spreadsheet applications

Frequently Asked Questions About JSON to Excel

How do I convert JSON to Excel?

Paste your JSON into the converter above and click Convert to Excel. The tool processes the JSON, creates a spreadsheet-friendly table, shows a preview, and lets you download the available output.

Can I convert JSON to XLSX online?

Yes. You can use the converter above to transform JSON data into spreadsheet-friendly output that can be opened or worked with in Excel-compatible applications.

Can I convert a JSON file to Excel?

Yes. If you have JSON data in a file, open the file, copy the JSON content, and paste it into the converter. The resulting data can then be downloaded from the tool.

Can nested JSON be converted to Excel?

Yes. Nested JSON objects can be flattened into readable column names. For example, address.city can represent the city property inside an address object.

Can I convert a JSON array to Excel?

Yes. JSON arrays containing objects are well suited to spreadsheet conversion because each object can represent a row while its properties become columns.

What is the difference between JSON to XLS and JSON to XLSX?

XLS is the older Excel spreadsheet format, while XLSX is the newer Excel format. For most modern workflows, XLSX is the preferred format.

What is the difference between JSON to Excel and JSON to CSV?

Excel-oriented output is convenient for spreadsheet analysis and human review, while CSV is a lightweight plain-text format that is often useful for data imports, scripts, and system-to-system exchange.

Is my JSON data uploaded to a server?

The converter is designed for browser-based processing. Your JSON is processed in the browser rather than being sent to a remote conversion endpoint.

Can I convert API JSON responses to Excel?

Yes. API responses that contain JSON objects or arrays can be pasted into the converter and transformed into spreadsheet-friendly rows and columns.

Can I convert large JSON data to Excel?

The practical limit depends on your browser, device memory, JSON structure, and the number of rows and columns. Very large datasets can require more processing time and memory.

Convert JSON to Excel in Seconds

Whether you are converting API data, nested JSON, JSON arrays, or application exports, the converter above provides a quick way to turn structured JSON into spreadsheet-friendly data.

Trust, Transparency & Expert Verification

JSON Conversion Tool

This JSON to Excel Converter is independently developed and maintained by Raviraj Bhosale (Founder, jsonformatters.com) with a focus on simple, privacy-conscious JSON data conversion.

Browser-Based Processing

JSON conversion is performed in your browser so the tool does not require you to upload your data to a conversion server.

Spreadsheet-Friendly Output

The converter transforms structured JSON into rows and columns that are convenient to review in spreadsheet applications.

Last Reviewed: August 2026 · Maintained by Raviraj Bhosale.

AuthorAuthor

Expertise Behind the Tool

Hello! I’m a Web Developer and the founder of jsonformatters.com. My goal is to build tools for developers that are not only fast, but also completely secure and privacy-focused.

Keeping modern 2026 web standards in mind, I optimized this tool using React and Next.js to deliver the best possible performance.

I believe in complete transparency when it comes to my coding skills and projects. You can learn more about my professional experience by connecting with me on my LinkedIn Profile.