Developer Tools
CSV Formatter & Validator
Parse, validate, and reformat CSV with RFC 4180-correct quoting, custom delimiters, column consistency checks, and TSV output.
Parsing follows RFC 4180: quoted fields with embedded commas, quotes, and newlines are handled correctly.
Validating the Columns Is the Real Work
Most CSV problems are column problems: a shifted row where a quoted field contained an unescaped comma, a header count that no longer matches the data rows, mixed date formats in the same column. Formatting/validating surfaces these before a downstream import chokes — and the check that matters is comparing field counts per row against the header, not eyeballing alignment. Trailing whitespace in headers ("name " vs "name") is invisible in editors and the top cause of failed column lookups in scripts.
How the Tool Works
- Paste CSV data or load a .csv file. The parser handles quoted fields with embedded commas, quotes, and newlines.
- Choose your delimiter: comma, semicolon, tab, or pipe — common when data comes from different locales.
- The validator reports rows that do not match the header column count, with row numbers.
- Re-emit with normalized quoting, or convert to TSV for spreadsheet pasting.
Example Input & Output
Common Questions
Are quoted fields with commas inside supported?
Yes. Parsing follows RFC 4180, so "Smith, John" stays one field even though it contains a comma.
Can it handle large files?
Yes — processing is local and streamed through the parser, so files with hundreds of thousands of rows work within your device’s memory.
Related Developer Tools
CSV to JSON Converter
Convert tabular data between CSV and JSON with quoted-field handling, validation, copy, and download.
XML Formatter & Validator
Pretty-print and minify XML documents with clear indentation and instant parsererror line/column syntax diagnostics.
JSON Formatter & Validator
Professional developer utility to format, validate, and minify JSON with precise line/column syntax error detection and payload size statistics.