CSV Schema Validator.
Validate CSV files against custom schemas to ensure data quality and integrity
- Data & API
- Runs in your browser
CSV Data
Validation Results
Ready to Validate
Configure your schema on the right, then click "Validate CSV" to check your data against the defined schema.
Validation Options
Schema
id
name
age
status
Use cases
Real-world uses.
- Data Analysts
- Validate datasets before analysis to prevent incorrect results from malformed or unexpected data formats.
- System Administrators
- Verify data format and integrity before importing into databases, CRMs, or other business systems.
- Software Developers
- Test CSV exports and imports in applications to ensure they meet expected data formats and requirements.
- Data Stewards
- Enforce data quality standards by validating CSV files against organizational schemas before approving them for use.
- ETL Developers
- Validate source data before extraction, transformation, and loading processes to prevent pipeline failures.
- Quality Assurance Teams
- Verify data exports and imports during testing phases to ensure applications handle data correctly.
How it works
Five steps.
- 01
Upload or paste your CSV data into the editor.
- 02
Define your schema using the visual builder or JSON editor.
- 03
Configure validation options like header handling and value trimming.
- 04
Click 'Validate CSV' to check your data against the schema.
- 05
Review validation results and fix any errors or warnings in your data.
Features
Key Features.
Data Validation
Validate CSV data against a customizable schema to ensure data quality and integrity.
Schema Builder
Create and define schemas visually with support for various data types and validation rules.
Detailed Validation
Detect errors like missing required fields, invalid data types, and values outside acceptable ranges.
Easy Data Import
Upload CSV files or paste data directly, with live preview and validation results.
Error Reporting
Get detailed error and warning messages with row and column identification for easy debugging.
Configurable Options
Customize validation with options for header handling, value trimming, and error tolerance.
What is a CSV schema?
A CSV schema is a specification that defines the expected structure and data types of columns in a CSV file. It helps ensure that data conforms to expected formats and constraints before processing or importing it.
What data types are supported?
The validator supports common data types including strings, integers, floating-point numbers, booleans, dates, email addresses, and enums (values from a predefined set of options).
Can I validate numeric ranges?
Yes, for numeric fields (integer and float), you can specify minimum and maximum values that the data must fall within.
How are required fields handled?
Fields marked as 'required' in the schema must be present in the CSV and cannot be empty. Non-required fields can be missing or empty without causing validation errors.
Can I validate using regular expressions?
Yes, for string fields, you can define a regular expression pattern that the values must match, enabling custom validation for formats like phone numbers, postal codes, etc.
What happens with extra columns in my CSV?
By default, extra columns not defined in the schema will generate warnings. You can enable the 'Allow Extra Columns' option to ignore them completely.
How do I handle case-sensitive headers?
You can configure header case handling to be case-sensitive, lowercase, or uppercase to match your schema field names appropriately.
Can I save my schema for later use?
Yes, you can download your schema as a JSON file, which you can later upload or paste back into the tool for future validation tasks.
Is my data secure?
All validation happens in your browser – your CSV data and schema are never sent to any server, ensuring complete data privacy and security.
Can I download validation reports?
Yes, you can download a detailed validation report that lists all errors and warnings, which is useful for documenting data quality issues or sharing with team members.
Related tools
More Data & API tools.
CSV Operations
Manipulate and process CSV data
CSV to SQL Converter
Generate SQL INSERT statements from CSV in the browser; nothing stored on servers
Excel to SQL Converter
Convert XLSX/XLS sheets to SQL INSERT statements locally in the browser
ZIP Text Extractor
Browse a ZIP in the browser and preview UTF-8 text files (.sql, code, etc.)
GZIP Text Tool
Compress text to .gz or decompress gzip to UTF-8 text—fully client-side
Stream Decompressor
Decompress gzip or deflate streams to UTF-8 text in the browser
NDJSON to SQL Converter
Turn JSON Lines (one object per line) into SQL INSERT batches locally
SQLite Viewer
Open small SQLite .db files with sql.js and run queries in your browser
Built by Infyways
Need more than a tool.
These utilities are made by the Infyways studio. When a free tool is not enough, we build the real thing.
