regula.tools
100% Client-SideConverters

Online CSV to JSON & SQL Query Converter

Transform spreadsheet exports, tabular data, and raw CSV files into structured JSON objects or database-ready SQL INSERT queries. Features RFC 4180 compliant quoting, automatic delimiter detection, intelligent type inference (numbers, booleans, nulls), and zero server upload.

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#How to Use This Tool

1Paste your raw CSV text or drag and drop a .csv file into the input pane.
2Choose your desired target format: JSON (array of objects) or SQL (INSERT statements).
3Configure delimiter (auto-detect, comma, semicolon, tab, or pipe) and header options.
4Copy the formatted output or download the resulting .json / .sql file immediately.

#Mathematical Formula & Standards

RFC 4180 standard tokenization: values containing delimiters or line breaks are wrapped in double quotes; quotes inside cells are escaped as double-quotes (""). SQL strings are sanitized with standard single-quote doubling (''') and numeric strings are inferred while preserving leading zeros.

#Edge Cases & Technical Considerations

Escaped Double Quotes ("")

Cells containing quotes (such as "John ""Doc"" Doe") are parsed accurately according to RFC 4180 specification without breaking column alignment.

Multiline Cells with Embedded Newlines

When a quoted cell contains newlines, the parser preserves the multi-line content inside the cell rather than treating it as a new record row.

Leading Zeros Preservation

Identifiers, postal codes, and phone numbers starting with 0 (e.g. "01234") are preserved as strings to prevent data truncation.

#Frequently Asked Questions

Q:Is my CSV data uploaded to any server?

No. Parsing, type inference, and transformation occur 100% locally in your browser memory. No data is sent over the network.

Q:Can I generate batch INSERT statements for large tables?

Yes. In SQL mode, you can toggle between a single multi-row VALUES batch query or individual INSERT statements for each record row.

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