Excel to JSON Converter
Convert your Excel (XLS/XLSX) data to JSON (JavaScript Object Notation) format with this easy-to-use online tool. No data is sent to our servers - all conversion happens in your browser.
Excel Options
JSON Format
Excel Input
Upload an Excel file to begin
Supported formats: .xlsx, .xls
JSON Output
JSON Output
Upload an Excel file to see the converted JSON output.
How to Use the Excel to JSON Converter
- Upload an Excel file (.xlsx or .xls) using the Upload button
- Select the worksheet to convert if your file has multiple sheets
- Enable "First row is header" if your Excel data has column headers
- Preview your data to verify it looks correct
- Click Convert to JSON to process your data
- Copy or download the resulting JSON file
About Excel to JSON Conversion
Excel is a spreadsheet application that can organize data in rows and columns. JSON (JavaScript Object Notation) is a lightweight data-interchange format that is easy for humans to read and write and easy for machines to parse and generate.
This tool is particularly useful when:
- You need to use spreadsheet data in web applications or APIs
- You're migrating data from Excel to JSON-based databases
- You want to transform tabular data into a structured format for processing
- You're preparing data exports for JSON-compatible systems
Why Convert Excel to JSON?
Converting Excel files to JSON format is essential for modern web development and data integration workflows. JSON's lightweight, human-readable structure makes it perfect for API communication, database operations, and web applications that need to process spreadsheet data.
- API Integration: Transform spreadsheet data for REST API consumption
- Web Development: Use Excel data in JavaScript applications
- Database Migration: Convert spreadsheets to structured data for databases
- Data Analysis: Process Excel data with modern analytics tools
- Configuration Files: Convert Excel settings to JSON configuration
Features & Benefits
Advanced Processing
- • Multiple sheet support
- • Automatic data type detection
- • Custom column mapping
- • Formula evaluation
Data Integrity
- • Preserves formatting
- • Handles special characters
- • Unicode support
- • Error validation