Introducing the CSV Validator — Catch Broken Rows Before You Import

A single ragged row can sink an entire CSV import, and the error you get back is usually a cryptic line number with no context. The new CSV Validator checks your file the way a strict importer would and tells you exactly what’s wrong — and where.

What it does

• RFC 4180 parsing: quoted fields, escaped quotes, and embedded newlines are handled correctly.
• Structural checks: unclosed quotes, wrong column counts, empty header names.
• Warnings: duplicate header names and blank rows.
• At-a-glance stats: data rows, column count, and total rows.
• Four delimiters: comma, semicolon, tab, pipe.
• Client-side: your data never leaves your browser.

Why it matters

Validating structure first turns a frustrating trial-and-error import into a quick fix. Every error and warning comes with a line number, so you can jump straight to the problem row instead of hunting through thousands of lines.

Learn the format

Our guide CSV Format Explained: Delimiters, Quoting, and Common Errors covers the RFC 4180 rules behind every check, including why column-count errors almost always trace back to quoting.

Try it

Paste your data into the CSV Validator and catch the broken rows before your database does.