Convert CSV spreadsheets, TSV tables, and pasted Excel data into structured, formatted JSON arrays with automatic data type parsing.
Automatically detects and parses numbers, booleans (true/false), and null values rather than converting everything to strings.
Parses Comma (CSV), Semicolon (;), and Tab-Separated (TSV / Excel paste) tables.
Export as beautifully indented JSON or compact single-line JSON strings.
Convert sensitive financial spreadsheets and customer lists locally with 100% privacy.
The CSV to JSON Converter employs an RFC 4180-compliant tokenizer that handles complex multiline quoted fields, escaped quotes, and delimiter variations.
It extracts the first line as column keys and maps subsequent row tokens into JavaScript object properties.
Our type inference engine evaluates each field, converting numeric strings to numbers and boolean tokens to primitives before serializing the array with JSON.stringify().
Copy cells directly from Excel or Google Sheets and paste to get instant structured JSON.
Convert legacy CSV database exports into JSON documents for MongoDB, Firestore, or PostgreSQL JSONB.
Quickly create rich JSON fixture files for React, Vue, and Angular UI components.
Transform feature flag and pricing matrix spreadsheets into readable JSON configuration files.
Yes. Simply copy your spreadsheet cells and paste them directly into the input area; the tool will parse the tab-delimited data automatically.
Yes. With "Auto-Detect Data Types" enabled, numbers like 42 and booleans like true are converted to native JSON numbers and booleans instead of quoted strings.
Softnag uses an RFC 4180-compliant state machine parser that correctly handles quoted strings containing commas and line breaks.
No. All parsing runs entirely within your browser client.
Yes. You can copy the formatted JSON or download it as a standalone .json file with one click.
Yes, Softnag supports standard RFC 4180 escaped quotes and comma-separated tokens.