Bank CSV Validator

You can, but free scripts and AI often miss edge cases that break real-world data: missing SKUs, currency formatting quirks, tax calculation errors, or date format mismatches. We have battle-tested validators specifically designed for accounting software imports that catch these issues before they corrupt your books. Plus, you get instant browser-based conversion without installing Python or managing dependencies.

We support CSV exports from all major US banks including Chase, Bank of America, Wells Fargo, Capital One, Citi, US Bank, PNC, and most regional banks. Column names are auto-detected.

At minimum, a valid bank CSV needs a date column and an amount column. Description/payee is optional but recommended. We auto-detect various column naming conventions.

Banks use different date formats (MM/DD/YYYY, YYYY-MM-DD, etc.). If dates fail validation, check if they were modified after download or if Excel reformatted them.

The validator checks for common aliases. If columns aren't detected, you may need to rename them to standard names like Date, Amount, Description.

Your Banking file is validated entirely in your browser — nothing is uploaded to any server. The Bank CSV validation runs client-side using JavaScript.

Duplicates often occur when importing the same file twice or if your file contains opening/closing balance rows. Remove these summary rows before uploading.

Encoding issues happen when files are created on different systems. Ensure your CSV is saved as UTF-8 without BOM (Byte Order Mark) for compatibility.

Most systems accept both minus signs (-100) and parentheses (100) for negatives. Check your tool's format requirements before uploading.

Create a formula that uses debit values as positive and credit values as negative in a single amount column before importing.

If imports fail due to file size, split your CSV into smaller chunks by date range and upload them separately.