Advanced CSV to JSON Converter
Transform your CSV data into various JSON formats with ease and precision
1. Input
2. Conversion Options
3. Output Options
4. Result
User Guide
Input CSV Data
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Result
No conversion performed yet. Enter your CSV data and click "Convert".
Result will appear here
User Guide
Quick Start
- Input your CSV data by pasting directly, uploading a file, or loading from a URL
- Select your desired conversion method from the 5 available options
- Configure additional options if needed (field selection, sorting, etc.)
- Click "Convert" to generate your JSON
- Copy or download your result
Keyboard Shortcuts
Ctrl+Z Undo last action
Ctrl+Y / Ctrl+Shift+Z Redo action
Ctrl+F Open Find & Replace
Ctrl+Enter Convert data
Ctrl+S Download result
Ctrl+C (in result area) Copy result
Alt+1...5 Switch between tabs
Ctrl+K / Ctrl+P Open command palette
Advanced Features
- Undo/Redo: Revert or reapply changes using the history buttons or keyboard shortcuts.
- Find & Replace: Search for text in your input or output and replace it with new text.
- Data Type Detection: Automatically convert string values to their appropriate types (numbers, booleans, nulls)
- Field Selection: Choose which fields to include in the output and rearrange their order
- Filtering: Filter records based on field values using various operators
- Sorting: Sort data before conversion based on any field
- Attribute Case: Transform field names to lowercase, uppercase, or camelcase
- Terse/JSON Lines Mode: Generate one object per line without commas (MongoDB compatible)
Conversion Options Explained
- CSV to JSON - Array of Objects: Standard conversion that transforms each CSV row into a JSON object with fields as properties.
- CSV to Keyed JSON: Creates a JSON object where a specified column value becomes the key, and the remaining columns form the value object.
- CSV to JSON Array: Converts CSV data into arrays of values instead of objects with named properties.
- CSV to JSON Column Array: Groups data by column instead of by row, creating arrays of values for each column.
- TSV to JSON: Handles tab-separated values files by using tabs as delimiters instead of commas.
Example CSV Data
id,name,email,age,active 1,John Doe,john.doe@example.com,32,true 2,Jane Smith,jane.smith@example.com,28,true 3,Bob Johnson,bob.j@example.com,45,false 4,Alice Brown,alice.b@example.com,36,true
Advanced CSV to JSON Converter | All processing happens in your browser - no data is sent to any server
Press Ctrl+K to open command palette
Feature | Details |
---|---|
Price | Free |
Rendering | Client-Side Rendering |
Language | JavaScript |
Paywall | No |
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About This Tool
Key Features
Conversion Options
- CSV to JSON - Creates an array of JSON structures from CSV data
- CSV to Keyed JSON - Generates JSON with a specified key field
- CSV to JSON Array - Converts to an array of CSV values
- CSV to JSON Column Array - Each column's values placed in separate arrays
- TSV to JSON - Supports tab-separated values conversion
Input Methods
- File upload functionality
- URL import option
- Direct CSV data input
- Demo data examples with one-click loading
Advanced Options
- Automatic detection of numeric values, logical values, and nulls
- Case transformation for attribute names (upper/lower)
- Record limiting for large datasets
- Field selection and reordering
- Filtering capability with query tool
- Sorting options (ascending/descending)
- NULL handling options
- Empty field management
- Terse and JSONLines modes
Output Controls
- Output format selection (Array/Hash/Minified)
- Parsing options for numbers and JSON
- Transpose functionality
- Copy to clipboard button
- Download result button
- JSON preview with syntax highlighting
User Guidance
The tool includes:
- A comprehensive guide explaining each conversion type
- Helpful tooltips for advanced options
- Result highlighting with syntax coloring
- Calculation explanation section
- Clear/reset functionality for starting over
Technical Implementation
The converter offers deep customization through:
- Dynamic option panels that change based on conversion type
- Real-time validation and error reporting
- Efficient parsing algorithms for handling large datasets
- Responsive design that works across all device sizes
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