CSV to JSON Converter
Parse CSV files and tabular data into formatted JSON.
100% Private & Client-Side Execution
Zero server uploads. Your tabular data is processed in browser memory and discarded when you close or refresh the tab.
About CSV to JSON Converter
CSV to JSON Converter parses tabular comma-separated values, Excel exports, and TSV files into clean, structured JSON. It supports both "Array of Objects" and "Array of Arrays" output modes, automatically detects delimiters, infers numeric and boolean types, and handles multi-line cells and escaped quotes with complete RFC 4180 fidelity.
How to Use CSV to JSON Converter
- Paste your CSV or TSV data into the editor or click "Load sample".
- Select your desired output structure: "Array of Objects" or "Array of Arrays".
- Toggle "Dynamic type conversion" to automatically convert numbers, booleans, and empty values.
- Select your preferred JSON indentation (2 spaces, 4 spaces, or compact minification).
- Click "Copy JSON" or "Download .json" to save your structured data.
Common Real-World Use Cases
- Software Engineers: Convert Excel or Google Sheets exports into JSON mock data and API fixtures.
- Frontend Developers: Turn client-provided spreadsheet catalogs into static JSON content for web apps.
- Database Administrators: Convert CSV dumps into JSON documents ready for MongoDB or CouchDB ingestion.
- Data Scientists: Quickly convert tabular datasets into JSON payloads for machine learning pipelines.
Technical Specifications & Limitations
Accepts RFC 4180 compliant CSV, TSV, and semicolon-delimited files. Operates within client-side memory with no arbitrary row limit.
Frequently Asked Questions
- What is dynamic type conversion?
- When enabled, numbers like "42" or "19.99" become numeric JSON values, "true"/"false" become booleans, and empty cells become null instead of literal strings.
- What is the difference between Array of Objects and Array of Arrays?
- Array of Objects uses the header row as keys for each object ([{id: 1, name: "A"}]), while Array of Arrays produces a 2D matrix of raw rows ([["id", "name"], [1, "A"]]).
- Does this tool handle commas inside quotes?
- Yes. Fields wrapped in quotes (e.g. "San Francisco, CA") are parsed correctly as single values without splitting on the internal comma.
- Is my CSV data kept private?
- Yes. All parsing happens locally inside your browser. No files or text are sent to an external server.