CSVLinter

About CSVLinter

A comprehensive tool for validating, analyzing, and cleaning CSV files

What is CSVLinter?

CSVLinter is a powerful tool designed to help developers, data analysts, and businesses ensure the quality and integrity of their CSV data. It provides comprehensive validation, detailed error reporting, and automated cleaning suggestions to help you work with reliable, well-formatted data.

Key features

Deep validation

Comprehensive validation including data types, format consistency, schema compliance, and structural integrity checks.

Detailed reports

Get precise error locations, clear descriptions, and actionable recommendations for fixing data quality issues.

Multiple interfaces

Use CSVLinter through our web interface, API, command line tool, or VS Code extension - whatever fits your workflow.

Fast processing

Optimized for performance, handling large files efficiently while providing real-time feedback on validation progress.

Available tools

VS Code extension

Validate CSV files directly in your editor with real-time error highlighting and inline suggestions. Install extension

Homebrew package

Command-line tool for macOS and Linux. Perfect for CI/CD pipelines and batch processing workflows.

brew install csvlinter/tap/csvlinter

REST API

Integrate CSV validation into your applications with our robust REST API. Supports batch processing and custom validation rules.

View API docs

Web interface

This interactive web tool for quick validation and analysis. No installation required - just upload and validate.

Try now

Use cases

  • Data migration - Validate data before importing into databases or systems
  • ETL pipelines - Ensure data quality at each stage of your data pipeline
  • API integrations - Validate CSV uploads in your web applications
  • Data analysis - Clean and validate datasets before analysis
  • Compliance - Ensure data meets regulatory and business requirements
  • Quality assurance - Automated testing of data exports and reports

Open source

CSVLinter is open source and actively maintained. We welcome contributions, feature requests, and feedback from the community.