Are NanoTools completely free to use?

Yes, all basic tools on NanoTools are completely free to use with no registration required. We offer premium features for power users.

Is my data secure when using NanoTools?

Your files are processed securely and are automatically deleted after processing. We do not store your files or data on our servers.

Do I need to install any software to use NanoTools?

No installation required. All tools work directly in your browser on any device - computer, tablet, or smartphone.

What file formats are supported?

We support a wide range of formats including PDF, JPG, PNG, WebP, GIF, JSON, XML, CSV, and many more depending on the tool.

CSV Schema Validator - Validate CSV Files

Validate CSV schema online for free. Check CSV structure and data types. Detect format errors.

CSV Schema Validator

Validate CSV data against schema definitions

CSV Data

Schema Definition (JSON)

Supported Types

• string - Text values (with min/max length, pattern)

• number - Numeric values (with min/max)

• integer - Whole numbers only

• email - Email addresses

• boolean - true/false/yes/no/1/0

• date - ISO date format

• url - Valid URLs

• phone - Phone numbers

All validation is performed client-side in your browser. Your CSV data never leaves your computer.

What This Tool Does

Validate CSV against custom schemas
Support multiple data types (string, number, email, date, etc.)
Required field validation
Row-by-row error reporting
Validation statistics and summary

How to Use

1
Paste CSV
Enter CSV data to validate
2
Define schema
Specify column types and rules
3
Validate
Run validation check
4
Review errors
Fix issues found

How it works

1

Paste CSV

Enter CSV data to validate

2

Define schema

Specify column types and rules

3

Validate

Run validation check

4

Review errors

Fix issues found

Use Cases

Data import validation
CSV file quality checking
ETL pipeline validation
Data migration verification
User upload validation

Frequently Asked Questions

What data types are supported?

Supports string, number, email, boolean, date, url, and more. Each type has specific validation rules.

How are errors reported?

Each error shows the row number, column name, and validation failure message for easy debugging.

Can I make fields optional?

Yes, set required: false in the schema. Only required fields will fail validation if empty.

Does it validate email format?

Yes, the email type validates email address format including @ symbol and domain structure.