Data Validator

The data validator supports several rule types: Required (field must not be empty), Email format (must be a valid email address), Number range (value must be within min/max bounds), and Regex pattern (value must match a custom regular expression). You can apply multiple rules to different columns simultaneously.

Paste your CSV data into the input field. The first row is automatically treated as headers. You can then select which column to validate and which rule to apply. The validator processes each data row and reports pass or fail status with specific error messages for each failing cell.

Yes. You can add multiple validation rules, each targeting a different column or even the same column with different criteria. For example, you could require a column to be non-empty AND match an email format. All rules are applied simultaneously and results show all violations.

The validator highlights each row that fails validation and shows exactly which rule was violated and in which column. You get a summary showing the total number of valid rows, invalid rows, and the specific error count per rule. This makes it easy to identify and fix data quality issues.

Dewx offers data tools plus a full business operating system. Beyond validation, Dewx provides CRM, unified inbox, AI assistant, outreach automation, and analytics. It replaces 15+ separate tools with one integrated platform designed for growing businesses.