Merakesh
DATA TOOLS

CSV ValidatorCSV Validator

Validate CSV data against a JSON schema to ensure structure, data types, and constraints match your requirements. Support for nested objects and arrays.

Input Data

Upload or paste your CSV data and provide the JSON schema for validation

1. CSV Data

2. JSON Schema *

Validation Results

Check the outcome of the validation process

Ready to validate

Provide your CSV data and JSON schema, then click "Validate CSV" to see results here.

How It Works & FAQ

This tool validates comma-separated value (CSV) files against a user-provided JSON Schema. It ensures data quality and consistency by checking if each row in the CSV adheres to the structure, data types, formats, and constraints defined in the schema.

How To Use

  1. Provide CSV Data: Either upload a CSV file or paste CSV content directly. The first row should contain headers.
  2. Define Schema: Enter a JSON schema that defines the expected structure for a single row. The tool automatically wraps this into an array schema.
  3. Validate: Click the "Validate CSV" button to process.
  4. Review Results: Check detailed validation results, including specific error locations and messages.

Key Features

  • Schema Validation: Enforce data structure and types using JSON Schema.
  • Format Validation: Check email addresses, dates, URLs, and other formats.
  • Nested Structures: Validate complex data with nested objects and arrays.
  • Client-side Processing: All validation happens in your browser—data never leaves your device.
  • Detailed Error Reports: Get precise information about validation failures by row and field.

Frequently Asked Questions

Common Use Cases

Data Import Validation

Verify that CSV data meets all requirements before importing into databases, applications, or APIs

Data Quality Control

Enforce data quality standards for reports, analytics, and business intelligence systems

Schema Development

Iteratively develop and test JSON schemas against real data samples

Integration Testing

Validate data payloads during system integration and interchange testing

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