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JSON to Excel Converter (Free AI Tool)
Convert JSON to Excel with automatic column detection and data type formatting. Transform API responses and database exports to XLSX spreadsheets. Download Excel files compatible with Microsoft Excel and Google Sheets.
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Hint: Select conversion type, paste your data, and get instant conversion. Supports JSON, YAML, XML, Excel, PDF, and more.
Issue Description
Hint: Describe what you want to build or paste your code, select target language, and click Generate.
How It Works
- 1
Paste JSON Array with Objects
Paste your JSON array where each object represents a row with consistent properties. Works with API responses, database query results, or any structured JSON data.
- 2
AI Creates Excel Headers and Cells
The tool extracts object keys as Excel column headers, maps each property value to cells, and formats numbers, dates, and booleans as appropriate Excel data types.
- 3
Download XLSX for Analysis
Download Excel file ready for pivot tables, charts, formulas, and business reporting in Excel, Google Sheets, or LibreOffice Calc.
JSON vs Excel: Data Format Comparison
| Feature | JSON | Excel |
|---|---|---|
| Format | Text-based JSON | Binary spreadsheet |
| Structure | Nested objects/arrays | Flat rows and columns |
| Data Types | JSON primitives | Excel cell types |
| Visualization | Code editor | Grid interface |
| Use Case | APIs, databases | Business analysis, reporting |
| Formulas | Not supported | Excel formulas (SUM, VLOOKUP) |
Code Examples
Example 1: Simple Product List
[
{"Product": "Laptop", "Price": 999.99, "Stock": 50, "Available": true},
{"Product": "Mouse", "Price": 29.99, "Stock": 200, "Available": true},
{"Product": "Keyboard", "Price": 79.99, "Stock": 0, "Available": false}
]Excel Spreadsheet:
| Product | Price | Stock | Available |
|----------|--------|-------|----------|
| Laptop | 999.99 | 50 | TRUE |
| Mouse | 29.99 | 200 | TRUE |
| Keyboard | 79.99 | 0 | FALSE |
Column A: Text
Column B: Number (2 decimals)
Column C: Number (whole)
Column D: BooleanKey Changes:
JSON object keys (Product, Price, Stock, Available) become Excel column headers in row 1. Each JSON array element becomes a row. Price values format as currency with 2 decimal places. Stock integers remain whole numbers. Boolean true/false convert to Excel TRUE/FALSE enabling use in IF() formulas. The resulting spreadsheet can be sorted, filtered, and used in charts. This format is typical for e-commerce inventory exports or sales reports.
Example 2: Employee Data with Dates
[
{"ID": 101, "Name": "Alice Johnson", "Dept": "Engineering", "Hire": "2024-01-15", "Salary": 95000},
{"ID": 102, "Name": "Bob Smith", "Dept": "Marketing", "Hire": "2023-11-20", "Salary": 75000},
{"ID": 103, "Name": "Carol White", "Dept": "Sales", "Hire": "2024-02-01", "Salary": 85000}
]Excel Spreadsheet:
| ID | Name | Dept | Hire | Salary |
|-----|---------------|-------------|------------|---------|
| 101 | Alice Johnson | Engineering | 1/15/2024 | 95000 |
| 102 | Bob Smith | Marketing | 11/20/2023 | 75000 |
| 103 | Carol White | Sales | 2/1/2024 | 85000 |
Hire column: Formatted as Date
Salary column: Formatted as CurrencyKey Changes:
ISO date strings (2024-01-15) are detected and converted to Excel date format, enabling date arithmetic and sorting by hire date. Salary numbers format as currency for financial reporting. The ID column remains integer. Text fields (Name, Dept) allow filtering and pivot tables. In Excel, you can now use formulas like =SUM(E:E) to total salaries or create pivot tables grouped by department. This conversion is essential for HR reports and payroll processing from JSON database exports.
Frequently Asked Questions
JSON arrays convert to Excel rows where each array element becomes a row. Object properties become columns with headers. For example, [{"name": "John", "age": 30}] creates a 2-column spreadsheet with 'name' and 'age' headers. Nested objects flatten or appear as text in cells.
Yes. The converter processes large JSON arrays efficiently, creating Excel files with thousands of rows. Excel has a 1,048,576 row limit per sheet. For larger datasets, consider splitting JSON or using CSV format. Modern browsers handle files up to several MB client-side.
JSON types map to Excel types: numbers become numeric cells, strings become text, booleans become TRUE/FALSE, and null becomes empty cells. Dates in ISO format (2024-01-15) are detected and formatted as Excel date cells. This enables Excel formulas like SUM() and sorting.