Table Data to JSON Converter
Create custom data tables and convert to JSON arrays. Define table columns, enter multiple rows of data, and export structured JSON for APIs, databases, and data processing.
Table Data to JSON Converter
1. Define Table Columns
Name (text)
Email (email)
Age (number)
2. Enter Table Data
| Name* | Email* | Age | Actions |
|---|---|---|---|
3. Generated JSON Array
JSON Editor - Type or paste your JSON content here
Generated 2 records with 3 fields each
How to Use Table Data to JSON Converter
- Define Columns: Add and configure table columns with different data types
- Enter Data: Add rows and fill in the data for each column
- Auto-Generate: JSON array is automatically updated as you type
- Export: Copy to clipboard or download the JSON file
Supported Data Types:
- Text: String values (text, email, tel, url)
- Number: Numeric values
- Date: Date strings in YYYY-MM-DD format
- Boolean: true/false values
- Select: Predefined option values
About Table Data to JSON Array Converter
Our Table Data to JSON converter allows you to create structured data tables and export them as JSON arrays. Perfect for developers, data analysts, and anyone who needs to prepare multi-row data for APIs, databases, or data processing systems.
Key Features
- Visual Table Builder: Define table columns with different data types and properties
- Multi-row Data Entry: Add unlimited rows of data in an intuitive table interface
- Multiple Data Types: Support for text, numbers, dates, booleans, and select options
- Real-time JSON Array: Generate JSON arrays instantly as you enter data
- Export Options: Copy to clipboard or download JSON files
- Data Validation: Set required fields and data type constraints
Supported Data Types
- Text Types: Text, Email, Phone, URL for string data
- Numeric: Number fields with automatic type conversion
- Dates: Date picker with YYYY-MM-DD format
- Boolean: True/false dropdown for boolean values
- Select: Predefined options for consistent data entry
- Validation: Required field indicators and constraints
Use Cases
- API Testing: Generate arrays of test data for API endpoints
- Database Seeding: Create sample data for database initialization
- Data Migration: Convert spreadsheet data to JSON format
- Configuration Files: Create JSON configuration arrays
- Mock Data: Generate structured datasets for development and testing