About

Migrating data from legacy spreadsheets to modern web applications requires robust parsing. This tool transforms CSV text into compliant JSON objects, handling critical edge cases that standard split-string methods miss. It correctly parses quoted strings containing delimiters (e.g., "Smith, John") and automatically infers data types, converting numeric strings like "42" into integers and "true" into booleans.

The converter is optimized for performance, capable of processing large datasets directly in the browser. This ensures strict data privacy, as your financial records or user lists are never sent to a server for processing.

Formulas

Data density differs between formats. JSON adds structural overhead (brackets, repeated keys) compared to CSV's flat structure.

Sizejson ≈ Rows × cols∑i=1 (len(key_i) + len(val_i) + 4)

CSV is generally 40-60% smaller than uncompressed, array-of-objects JSON.

Reference Data

Feature	CSV Representation	JSON Output
String	text	"text"
Number	123.45	123.45
Boolean	true	true
Null/Empty	(empty field)	null
Quoted String	"Hello, World"	"Hello, World"
Escaped Quote	"Say ""Hi"""	"Say \"Hi\""

Frequently Asked Questions

Yes. While the parser attempts to auto-detect the delimiter (comma, semicolon, or tab), you can enforce a specific delimiter if your data format is non-standard.

JSON keys must be unique. If the CSV contains duplicate headers (e.g., two columns named 'id'), the tool will append a suffix to the second occurrence (e.g., 'id_2') to prevent data loss.

Yes. The parsing logic is optimized. However, rendering a massive JSON string in the browser might cause a temporary pause. For very large files, it is recommended to use the "Minify" option to reduce memory usage.