CSV to JSON Converter

How to Use the CSV to JSON Converter

Simply paste your CSV data or drag-and-drop a CSV file into the tool. The converter automatically detects your delimiter (comma, semicolon, tab, or pipe) and converts your data to JSON format in real-time. No signup required, and your data never leaves your browser.

Features

• Auto-detect delimiter: Automatically recognizes comma, semicolon, tab, and pipe separators
• Multiple output formats: Choose between Array of Objects, Array of Arrays, or NDJSON
• Header row handling: Toggle whether the first row contains column headers
• Quoted fields: Properly handles quoted CSV fields with escaped quotes
• Multiline support: Handles newlines within quoted fields correctly
• File upload: Drag and drop or click to upload .csv files directly
• Instant conversion: Results appear as you type
• Copy & download: Copy JSON to clipboard or download as a file

Output Format Options

Array of Objects

The default format. Each row becomes an object with column headers as keys. Best for representing structured data.

Array of Arrays

Each row is an array of values. Useful when you need to preserve the exact row order or have dynamic column structures.

NDJSON (Newline-Delimited JSON)

One JSON object per line. Great for streaming or large datasets, as each line can be processed independently.

Frequently Asked Questions

Does this tool support special characters in CSV fields?

Yes. The tool properly handles quoted fields, escaped quotes, and special characters like newlines, commas, and Unicode characters within CSV values.

What if my CSV has inconsistent delimiters?

Use the "Delimiter" dropdown to manually specify which delimiter to use. The auto-detect feature works best with standard, consistent CSV files.

Is my CSV data sent to any server?

No. Everything runs in your browser. Your CSV data is never uploaded or sent anywhere. It's completely private and secure.

Can I use this for large CSV files?

Yes, the tool handles files up to 10MB. However, very large files may take a moment to process. For massive datasets, consider using command-line tools like jq or a programming language library.

What are the limitations?

The tool is optimized for standard CSV files with consistent delimiters and formatting. Complex CSV edge cases (like unquoted fields containing delimiters) may need manual adjustment.