Data Validation & Quality Check Tools

Validate CSV and Excel files before importing to accounting or business systems. Catch format errors, missing data, and compatibility issues before they cause import failures or corrupted records.

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Common Questions

What errors does validation catch?

Date format mismatches, missing required fields, invalid amounts, duplicate records, wrong column names, character encoding issues, and cross-field calculation errors.

Can it fix errors automatically?

Yes. Common formatting issues like date formats, decimal separators, and encoding problems are auto-corrected. Structural errors are flagged with suggested fixes.

Is my data safe?

All validation happens in your browser via WebAssembly. Files never get uploaded to our servers.

How It Works

Upload Your File

Drop your CSV or Excel file. The schema and required format are detected automatically.

Run Validation Checks

Every row checked for format errors, missing data, invalid values, and business rule violations.

Download Clean File

Get an auto-corrected, import-ready file plus a detailed error report with row numbers.

Why Use These Tools?

Comprehensive Error Detection

Dates, amounts, required fields, duplicates, and cross-field totals all checked automatically.

Auto-Correction

Common formatting problems fixed automatically. Date formats, decimal separators, and encoding cleaned.

Row-Level Detail

Every error reported with exact row number, column name, and suggested fix.

Format-Specific Rules

Validation rules tuned to QuickBooks, Xero, NetSuite, and other target system requirements.

Free Error Preview

See all detected issues before paying. Know exactly what needs fixing.

Browser-Only Processing

All validation runs locally via WebAssembly. Your data never gets uploaded to our servers.

Why Validation Prevents Costly Mistakes

A Single Error Can Fail Your Entire Import

Accounting software rejects files with format errors — one wrong date, one missing required field, one invalid amount causes the whole import to fail. Worse, some systems silently import bad data that corrupts your records and creates reconciliation problems you discover weeks later. Validation catches both types of issues before they reach your system.

Common Data Errors That Break Imports

Date format errors — DD/MM/YYYY when the system expects MM/DD/YYYY, or invalid dates like February 30th. Missing required fields — empty customer names, blank account codes, missing transaction types. Number format problems — text in amount columns, wrong decimal separators, currency symbols that parsers reject. Duplicate records — the same transaction appearing multiple times from overlapping exports.

Validation Rules Differ by Target System

QuickBooks Online requires specific date formats and column names that differ from QuickBooks Desktop's IIF requirements. Xero validates against its own field schema. NetSuite checks internal record references. Each target system has unique required fields, value constraints, and format specifications. Our validation tools apply the correct rule set based on your target platform.

What Validation Produces

Three outputs from every validation run. A detailed error report listing every issue with row number, column name, current value, and suggested fix. An error summary counting issues by type and severity for quick triage. And an auto-corrected file with fixable formatting problems already resolved, ready for import without manual spreadsheet editing.

Frequently Asked Questions

Date format mismatches, missing required fields, invalid amounts, duplicate records, wrong column names, character encoding issues, and cross-field calculation errors.

Yes. Common formatting issues like date formats, decimal separators, and encoding problems are auto-corrected. Structural errors are flagged with suggested fixes.

All validation happens in your browser via WebAssembly. Files never get uploaded to our servers.

Recommended for any new data source or first-time import. After confirming your export format works, subsequent files from the same source typically pass clean.

CSV, Excel (XLS/XLSX), and export files from major e-commerce and payment platforms.

You get three outputs: a detailed error report with row numbers, an error summary by type and severity, and an auto-corrected file for fixable issues.

Every issue includes the row number, column name, current value, expected format, and a suggested fix. Errors are grouped by type and severity.