Free Online JSON to Excel Converter — Transform JSON Data Instantly
Convert JSON arrays and objects into clean, downloadable Excel spreadsheets (.xlsx) directly in your browser. Supports nested JSON flattening, custom filenames, and preview — no server upload, completely private.
Convert Your JSON Data to Excel
How to Use This JSON to Excel Converter
Enter or Paste Your JSON Data
Type your JSON data directly into the input area or paste it from your clipboard. You can also load a .json file from your device using the Load File button.
Select Conversion Options
Choose whether to flatten nested objects into dot-notation columns. Set a custom filename for the downloaded Excel file.
Click Convert to Excel
Press the Convert to Excel button. The tool validates your JSON, extracts all keys as column headers, and generates the spreadsheet data instantly.
Review the Preview Table
Check the generated preview table to verify that your data has been parsed correctly. The preview shows the first 20 rows along with total row and column counts.
Download Your Excel File
Click the Download .xlsx File button to save the generated Excel spreadsheet to your device. The file opens correctly in Microsoft Excel, Google Sheets, and LibreOffice Calc.
Key Features of JSON to Excel Converter
100% Free with No Signup
Convert unlimited JSON files to Excel without creating an account, paying fees, or encountering usage limits.
Accurate XLSX File Generation
Produces genuine Office Open XML (.xlsx) files that open correctly in Excel, Google Sheets, and LibreOffice Calc.
Instant Client-Side Conversion
Parses JSON and generates the spreadsheet entirely in your browser — no waiting for server processing.
Complete Privacy Protection
Your data never leaves your device. Zero server uploads, zero logging, zero tracking of your JSON content.
Nested JSON Flattening Support
Automatically flattens nested objects into dot-notation columns like address.city for clean spreadsheet structure.
Mobile-Friendly Responsive Design
Works seamlessly on phones, tablets, and desktops with a responsive interface optimized for every screen size.
How This Tool Works
JSON.parse(). If you enable flattening, nested objects are recursively expanded using dot-separated key paths. All unique keys across every object become column headers, and each object becomes a row in the spreadsheet. The tool then constructs a genuine .xlsx file using the Office Open XML specification — creating the required XML worksheets and packaging them into a ZIP archive as a binary Blob.Process Steps Explained
The raw input is parsed with JSON.parse(). If it fails, a specific error message indicates the line and character position of the syntax problem.
A single object is wrapped in an array. Each item is verified to be an object. Non-object items (strings, numbers) are skipped with a warning.
When enabled, nested objects like {"address":{"city":"Delhi"}} are recursively flattened to {"address.city":"Delhi"} with a configurable depth limit of 5 levels.
All unique keys across every object in the array are collected in order of first appearance. These become column headers in the Excel file.
The tool constructs Office Open XML compliant files — a worksheet XML, shared strings XML, styles, and content types — then packages them into a ZIP archive using pure JavaScript with Uint8Array and Blob.
The generated .xlsx file follows the ECMA-376 Office Open XML Spreadsheet standard. Each cell value is properly escaped for XML, and the file structure includes the required [Content_Types].xml, _rels/.rels, xl/workbook.xml, xl/worksheets/sheet1.xml, and xl/sharedStrings.xml components.
Assumptions: All values are stored as strings in the Excel file for maximum compatibility. Numeric formatting can be applied after opening in your spreadsheet application. Array values within JSON are joined with commas. Flattening depth is capped at 5 levels to prevent infinite recursion.
Practical Examples
Indian E-commerce Order Data
Input: [{"order_id":"ORD-1001","customer":"Rajesh Kumar","city":"Mumbai","amount":2499,"status":"Delivered"},{"order_id":"ORD-1002","customer":"Priya Sharma","city":"Delhi","amount":1899,"status":"Shipped"}]
Result: Excel file with 5 columns (order_id, customer, city, amount, status) and 2 data rows.
Use Case: Exporting order records from a Shopify or WooCommerce JSON API response into Excel for bookkeeping or GST filing preparation.
Nested Employee Records
Input: [{"name":"Anita Desai","department":"Engineering","address":{"city":"Bengaluru","state":"Karnataka"},"salary":85000}]
Result: With flattening ON: 5 columns — name, department, address.city, address.state, salary. One data row with values correctly mapped.
Use Case: HR teams converting employee API data into spreadsheets for payroll processing or internal audits.
International Product Catalog
Input: [{"sku":"WH-1000XM5","product":"Wireless Headphones","price_usd":349.99,"stock":142,"warehouse":"New York"},{"sku":"TB-400","product":"Tablet Stand","price_usd":29.99,"stock":500,"warehouse":"London"}]
Result: 5 columns, 2 data rows. All values accurately placed under correct headers.
Use Case: Inventory managers converting JSON exports from warehouse management APIs into Excel for stock review and reorder analysis.
API Response with Missing Fields
Input: [{"id":1,"name":"Test","email":"test@example.com"},{"id":2,"name":"Demo"}]
Result: 3 columns (id, name, email). Row 2's email cell is left empty since the field is missing from that object.
Use Case: Developers analyzing inconsistent API responses by viewing all available fields side-by-side in a spreadsheet to identify data gaps.
What Is JSON to Excel Converter?
JSON to Excel Converter is a free browser-based tool that transforms JSON (JavaScript Object Notation) data into downloadable Excel spreadsheets in the .xlsx format. Whether you have a small array of 5 records or a large dataset with thousands of rows, this converter handles the parsing, header extraction, and binary file generation entirely within your browser.
The tool is designed for developers, data analysts, business owners, and anyone who works with JSON data from APIs, databases, or web applications. Instead of manually copying values or writing scripts, you paste your JSON, click convert, and download a ready-to-use spreadsheet in seconds.
Key scenarios where this tool saves time include: exporting REST API responses into Excel for analysis, converting MongoDB or Firebase JSON exports into tabular format for non-technical team members, preparing JSON data for import into accounting software, and quickly visualizing nested JSON structures as flat spreadsheet columns.
Unlike many online converters that require uploading your data to a remote server, this tool processes everything client-side. Your JSON data — which may contain sensitive business information, customer records, or proprietary data — stays on your device throughout the entire conversion process.
Sources and Methodology
This converter generates .xlsx files following the Office Open XML Spreadsheet format as defined in the ECMA-376 standard. The ZIP packaging, XML worksheet structure, shared strings table, and content type declarations all conform to the specification used by Microsoft Excel 2007 and later versions. The JSON parsing relies on the browser's native JSON.parse() implementation, which follows the ECMA-404 JSON Data Interchange Standard.
Important Considerations
For datasets exceeding 50,000 rows, browser memory constraints may cause slower performance or timeouts depending on your device. The tool stores all values as text strings in Excel — you may need to format numeric columns after opening the file. Deeply nested JSON beyond 5 levels is truncated during flattening. For enterprise-scale data transformations involving millions of records, dedicated ETL tools or server-side scripts are recommended.
Frequently Asked Questions
Yes, this JSON to Excel Converter is 100% free to use. There are no hidden charges, no signup required, no premium tiers, and no usage limits. You can convert as many JSON files as you need without any restrictions.
Absolutely. All JSON parsing and Excel file generation happens entirely within your browser using client-side JavaScript. Your data never leaves your device — nothing is uploaded to any server, and no data is stored, logged, or transmitted anywhere.
The converter accurately parses valid JSON data and maps each key to an Excel column header. It generates genuine .xlsx files using the Office Open XML standard. Nested objects can be flattened with dot notation. However, deeply recursive structures beyond 5 levels or extremely large files (over 50,000 rows) may experience slower performance in the browser.
The tool accepts a JSON array of objects, such as [{"name":"Amit","age":30},{"name":"Priya","age":25}]. It also accepts a single JSON object, which will be converted into a one-row spreadsheet. The JSON must be valid — the tool will show specific error messages if parsing fails.
Yes. Enable the Flatten Nested Objects option, and the converter will recursively flatten nested objects using dot notation for column headers. For example, {"address":{"city":"Mumbai"}} becomes a column named address.city with the value Mumbai.
Yes. The tool generates a standards-compliant .xlsx file using the Office Open XML format. It opens correctly in Microsoft Excel (2007 and later), Google Sheets, LibreOffice Calc, Apple Numbers, and other spreadsheet applications.
There is no hard limit imposed by the tool. However, since everything runs in your browser, very large JSON files with more than 50,000 rows or deeply nested structures may take longer to process or consume significant memory. For extremely large datasets, consider splitting the JSON into smaller batches.
If a JSON object is missing a key that other objects have, the corresponding Excel cell will be left empty. Null values are written as empty cells. Boolean values are converted to TRUE or FALSE strings, and arrays within values are converted to comma-separated strings.
Yes. Click the Load JSON File button to select a .json file from your device. The file contents will be loaded into the input area automatically. You can then review the data before converting.
Yes, the converter is fully responsive and works on smartphones and tablets. You can paste JSON data, convert it, preview the results, and download the Excel file directly on your mobile device. The interface adapts to smaller screens for easy use.