Convert CSV files to JSON format with automatic type detection and proper structure
Overview
A powerful online CSV to JSON converter that transforms CSV (Comma-Separated Values) files into structured JSON format. This tool supports custom delimiters, automatic type detection, and handles complex CSV structures while providing detailed validation and error reporting.
Key Benefits
- Instant CSV to JSON conversion with type inference
- Support for custom delimiters (comma, tab, semicolon)
- Automatic header detection and mapping
- Large file handling with streaming support
- Customizable JSON output formatting
- Download converted JSON files
- Preview conversion results instantly
Primary Use Cases
- Converting spreadsheet data to API format
- Transforming database exports to JSON
- Processing data for web applications
- Converting tabular data for visualization
- Preparing data for MongoDB imports
Features
Main Features
- Real-time CSV parsing and conversion
- Custom delimiter support
- Automatic data type detection
- Header row handling options
- Error detection and validation
- JSON pretty printing
- File upload/download support
Technical Specifications
- Handles CSV files up to 50MB
- Supports UTF-8 encoding
- Multiple delimiter detection
- Array and object nesting
- Date format recognition
How It Works
The CSV to JSON converter analyzes your CSV data structure, detects delimiters and headers, and transforms each row into a JSON object. It automatically infers data types and provides options for customizing the output format.
Steps
- Upload or paste your CSV data
- Select delimiter if not automatically detected
- Configure header row options
- Preview the conversion results
- Adjust formatting options if needed
- Download the converted JSON
Limitations
- Maximum file size: 50MB
- Limited nested structure support
- Some special characters may need escaping
Examples
Basic CSV to JSON Conversion
Converting a simple CSV file with headers to JSON
Input:
name,age,city
John Doe,30,New York
Jane Smith,25,Los Angeles
Output:
[
{
"name": "John Doe",
"age": 30,
"city": "New York"
},
{
"name": "Jane Smith",
"age": 25,
"city": "Los Angeles"
}
]
Complex CSV with Nested Data
Converting CSV with nested objects and arrays
Input:
id,name,skills,address.city,address.country
1,John,["javascript","python"],New York,USA
2,Jane,["java","c++"],London,UK
Output:
[
{
"id": 1,
"name": "John",
"skills": ["javascript", "python"],
"address": {
"city": "New York",
"country": "USA"
}
},
{
"id": 2,
"name": "Jane",
"skills": ["java", "c++"],
"address": {
"city": "London",
"country": "UK"
}
}
]
Frequently Asked Questions
What is CSV to JSON conversion?
CSV to JSON conversion transforms comma-separated values (CSV) data into JavaScript Object Notation (JSON) format, making it easier to use in web applications and APIs.
Can I convert Excel files directly?
You'll need to save your Excel file as CSV first, then use our converter to transform it to JSON format.
How are data types handled?
The converter automatically detects common data types like numbers, booleans, and dates. You can also specify custom type handling if needed.
What delimiters are supported?
We support common delimiters including commas, tabs, semicolons, and pipes. The tool can automatically detect the delimiter in most cases.
Tips & Best Practices
Best Practices
- Ensure consistent data formatting in CSV
- Use header rows for property names
- Escape special characters properly
- Validate JSON output structure
- Consider memory usage for large files
- Back up data before conversion
Common Pitfalls
- Inconsistent column counts
- Unescaped delimiters in data
- Mixed data types in columns
- Invalid characters in headers
- Missing required fields
Technical Details
Supported Formats
- Standard CSV
- Tab-separated values (TSV)
- Semicolon-separated values
- Custom delimiter formats
Limitations
- Maximum file size: 50MB
- Maximum columns: 1000
- Maximum rows: 100,000
Browser Compatibility
- All modern browsers
- Chrome 60+
- Firefox 60+
- Safari 12+
- Edge 79+
Security & Privacy
Data Handling
- Client-side processing only
- No server data storage
- No data transmission
- Memory-only processing
Privacy Considerations
- No data collection
- No cookies required
- No tracking
- Open source code