50 chars · 3 lines
50 chars · 3 lines
3 rows3 columnsComma delimiter
50 chars · 3 lines
50 chars · 3 lines
CSV validation guide
Paste delimited text into the validator above to check quoted fields and confirm that every record has the same number of columns as the first row. Choose the correct delimiter first so parser errors reflect the actual file format. This tool is free to use. No account or payment is required.
Last updated
The parser checks opening and closing quotes, doubled quotes inside quoted fields, delimiter boundaries, CRLF or LF record breaks, and column counts across records.
Validation is structural rather than semantic. A syntactically valid CSV file can still contain the wrong dates, identifiers, or business values for the system that consumes it.
A missing delimiter or an accidentally split quoted value can shift every later cell in a row. VetaTool compares each record width with the first row and reports the first mismatch instead of silently padding or dropping data.
The validation pass runs on the device, so uploaded customer lists, finance exports, and operational tables are not required for this syntax check.
The second data row is missing one field, so its column count does not match the header and first record.
name,role,active
Ada,admin,true
Linus,editorname,role,active
Ada,admin,true
Linus,editor,falseCommon questions
VetaTool's validator requires consistent record widths because mismatched rows are a common cause of failed or shifted imports.
Yes. A line break inside a properly quoted field remains inside that field and does not start a new record.
No. It checks CSV structure, not whether a particular column contains a valid date, number, email, or domain-specific value.
Debugging a specific CSV issue? Browse CSV troubleshooting.