Parse tabular CSV and TSV spreadsheets into structured JSON arrays of objects or 2D matrix arrays with automatic delimiter detection and smart type casting.
Import spreadsheets, database CSV exports, and analytics reports into web applications.
Spreadsheet applications such as Microsoft Excel, Google Sheets, and CRM tools export bulk data in CSV or TSV formats. However, web frontends, Node.js scripts, REST API test payloads, and document databases (MongoDB, DynamoDB) require structured JSON payloads to process and query records.
The Developers Web Tools CSV to JSON Converter parses tabular data under the RFC 4180 specification, safely handling multiline quoted strings and escaped quotation marks. It features automatic delimiter detection and intelligent type conversion that converts numbers, booleans, and null values into native JSON types.
Understanding delimiter discovery, quotation state machines, and type casting.
Automatically detects commas (,), semicolons (;), tabs (\t), or pipes (|) by sampling line frequencies across the dataset.
Converts numeric strings like "42.5" to JSON numbers and "true"/"false" to native booleans, with an option to preserve all cells as raw strings.
Properly unescapes doubled quotes ("") and preserves literal newlines that occur within quoted spreadsheet cells.
Engineered for fast, reliable, and private data transformations.
The converter implements an RFC 4180 state machine. When commas or line breaks are enclosed within double quotes (e.g. "123 Main St, Apt 4"), they are preserved as part of the text content rather than treated as column separators.
"Array of Objects" uses the header row as object keys for each item (e.g. [{"id": 1, "name": "Alice"}]), which is ideal for APIs. "2D Array" produces a matrix of rows (e.g. [["id", "name"], [1, "Alice"]]), which yields smaller payloads.
Yes! Leave the delimiter set to "Auto-Detect" or explicitly select "Tab (\t / TSV)" from the dropdown menu.
Uncheck "First Row is Header". In object mode, the tool will automatically generate default keys (col1, col2, etc.) for each column.