Schema Validator

Validate schema and data rules before you share — catch missing fields, type issues, ranges, duplicates, and regex problems. Runs locally in your browser.

Upload

CSV / TSV / Excel (XLSX/XLS) / delimiter-style TXT

File:not loaded

Delimiter Preview rows Max invalid rows export

Safety: your file is read locally in your browser. Use Masker if you need to share samples.

Privacy: processed locally in your browser. Nothing is uploaded unless you choose to share details for help.

Validation summary

What passed, what failed

Rows: — Cols: — Rules: 0 Invalid rows: 0 Total errors: 0

Upload a file to get a clear pass/fail decision you can rely on.

Tip: Add a Unique rule on your primary key (like id) to catch duplicates quickly.

1) Build rules

Add checks column-by-column

Column

Rule

Severity

Param A

Param B

Auto rules will add: Required for “id-like” columns, Type=number for numeric-looking columns, and Date parse if it sees date-like strings.

2) Rules list

Edit by deleting and re-adding

Active 0

Load a file to build rules.

3) Audit

Schema + thresholds + counts

Load a file, add rules, then click Validate.

Download the Report to keep a permanent record of checks run (useful for QA sign-off).

Preview

Rows with error details (top findings)

View

How to read results

Error breaks the schema (row should be rejected).

Warn might be acceptable, but should be reviewed.

Each failing row gets:

_errors: count of error-level issues
_warns: count of warning-level issues
_issues: human-readable list of what failed

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