CSV to JSON Converter Online

The first row of your CSV is treated as headers, which become the keys for each JSON object. Every subsequent row becomes a JSON object in an array, with values mapped to the corresponding header keys. For example, "name,age\nJohn,30\nJane,25" becomes [{"name": "John", "age": "30"}, {"name": "Jane", "age": "25"}].

Yes. Fields enclosed in double quotes are parsed correctly following the RFC 4180 standard. This includes fields containing commas ("New York, NY"), newlines, and escaped double quotes ("He said ""hello"""). The quotes are stripped from the output while preserving the actual content.

Our converter auto-detects common delimiters including comma (,), semicolon (;), and tab characters. European CSV files that use semicolons as the delimiter are handled automatically without any configuration. The detector analyzes the first few lines to determine the most likely delimiter.

By default, all values are kept as strings to preserve the original data exactly as it appears in the CSV. This prevents issues with leading zeros (like ZIP codes "02101") or phone numbers being treated as numbers. You can manually update types in the JSON output if needed.

The converter uses the first row as headers by default. If your CSV does not have a header row, the first data row will be treated as keys. In this case, you can add a header row manually before pasting, or edit the JSON output to rename the keys afterward.

Empty cells in the CSV are converted to empty strings ("") in the JSON output. If a row has fewer columns than the header, the missing values are set to empty strings. Completely empty lines are skipped entirely.

The converter handles CSV files up to 10 MB comfortably, which typically covers files with hundreds of thousands of rows. Processing happens entirely in your browser, so performance depends on your device. Files under 1 MB convert essentially instantly.

Yes. The converter produces a JSON array of objects — exactly the format MongoDB expects for insertMany operations. You can copy the output and use it with mongoimport, the MongoDB shell, or your application's ORM seed files. Each CSV row becomes one MongoDB document.

The converter handles UTF-8 encoded CSV files including special characters, accented letters, emoji, and non-Latin scripts. Make sure your source file is saved with UTF-8 encoding (most modern tools do this by default) for correct character handling.