About JSON to Excel Converter
The JSON to Excel Converter allows you to convert JSON data into a structured Excel (.xlsx) file instantly. You can either paste JSON data directly or upload one or multiple JSON/TXT files, preview the converted data in a table format, and download the generated Excel files individually or as a ZIP archive.
This tool is designed to simplify working with JSON data by transforming it into a readable and editable Excel format.
What Is JSON?
JSON stands for JavaScript Object Notation. It is a lightweight data format commonly used to exchange structured data between applications.
JSON data is typically represented as:
Example:
[
{ "name": "John", "age": 25, "city": "New York" },
{ "name": "Jane", "age": 30, "city": "London" }
]
JSON is widely used in APIs, configuration files, data exports, and web applications.
What Is an Excel (XLSX) File?
An Excel file (.xlsx) is a spreadsheet format used to organize data into rows and columns. Excel files allow users to:
This tool converts JSON data into an Excel spreadsheet so it can be easily viewed and edited.
What Is This JSON to Excel Tool?
This tool converts JSON data into an Excel file with a structured tabular layout.
It supports both pasted JSON content and uploaded files and automatically handles different JSON structures during conversion.
Each conversion generates an Excel file with:
Input Methods
Paste JSON Data
-
Paste valid JSON directly into the editor
-
JSON is validated before conversion
-
Supports arrays, objects, and nested structures
Upload JSON or TXT Files
-
Upload one or multiple .json or .txt files
-
Drag & drop or file selection supported
-
Uploaded files are temporarily stored for processing
Supported JSON Structures
The tool supports:
-
JSON arrays (list of objects)
-
JSON objects
-
Nested JSON objects that contain arrays
-
Automatically finds the first valid data array inside nested JSON
If the JSON structure is invalid or unsupported, the tool returns a conversion error for that file.
How the Conversion Works
-
JSON data is pasted or uploaded
-
The tool validates the JSON format
-
JSON data is converted into a tabular structure
-
An Excel workbook is created
-
Data is written into the Data sheet
-
Conversion details are written into the Metadata sheet
-
The Excel file is saved and prepared for download
-
A full preview of the data is displayed in the browser
Excel Output Details
Data Sheet
-
Contains the converted JSON data
-
Columns are created from JSON keys
-
Rows represent JSON records
Metadata Sheet
Includes:
-
Original file name
-
Conversion date and time
-
Number of rows
-
Number of columns
-
List of column names
Excel Formatting Applied
The generated Excel file includes:
Preview Features
After conversion, the tool displays a full data preview:
Table Preview
Search Inside Data
Table Controls
-
Scroll to top
-
Scroll to bottom
-
Clear search results
Fullscreen Preview
-
Open the table in fullscreen mode
-
Includes search and navigation controls
-
Close using button or ESC key
Download Options
Download Single File
Download All Files
Error Handling
The tool provides clear feedback for:
-
Invalid JSON format
-
Missing or deleted uploaded files
-
Conversion failures for individual files
-
Partial success when some files convert and others fail
Each file is processed independently.
Temporary Files & Cleanup
-
Uploaded files are stored temporarily
-
Pasted JSON content is saved as a temporary file and removed after conversion
-
Temporary files are automatically cleaned up when:
-
The user clears the tool
-
The user leaves the page
Who Can Use This Tool?
This tool is useful for:
-
Developers working with API responses
-
Data analysts converting JSON exports
-
QA testers validating JSON output
-
Backend engineers reviewing structured data
-
Students learning JSON and Excel
The JSON to Excel Converter provides a reliable way to transform JSON data into Excel spreadsheets. With support for multiple input methods, nested JSON structures, full data preview, search functionality, and downloadable Excel files, the tool simplifies JSON data analysis and review without modifying the original data.