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CSV Validator

Upload a CSV file to validate its structure, encoding, and data integrity.

Drag & drop your file here

Supports .csv — max 10 MB

or paste from clipboard

What we check

Encoding

Verifies the file uses valid character encoding (UTF-8, ASCII, etc.)

Delimiter

Detects and validates the column delimiter used in the file

Headers

Checks that column headers are present, unique, and non-empty

Rows

Validates that all rows have a consistent number of columns

Quoting

Ensures quoted fields are properly opened and closed

Empty values

Detects empty or missing values across all rows

Data types

Checks that column values are consistent in type (numbers, dates, etc.)

RFC 4180 compliance

Validates compliance with the CSV standard (CRLF line endings, proper field quoting, escaped quotes)

Schema validation

Validates column names and cell data types against your schema definition

Learn More

CSV Validation: Catch Data Errors Before They Cause Problems

CSV files are simple but error-prone. Learn how to validate structure, encoding, and data integrity.

What Is CSV Validation?

CSV (Comma-Separated Values) validation checks that a file conforms to the expected structure, encoding, and data format. While CSV appears simple, real-world files frequently contain issues: inconsistent column counts, wrong delimiters, encoding problems, unescaped quotes, and embedded newlines.

5 min readRead full guide