Free CSV editor and validation tools with automatic schema generation. Edit CSV files, validate data, and generate schemas—all in your browser with WebAssembly performance.
Your data never leaves your computer • Free to use • Chrome/Edge on laptop/desktop
CSV quality issues break systems and waste time. Here's how CSV Workbench solves real problems teams face every day.
THE PROBLEM
Receiving CSV files via email or file share? They often have structural issues, encoding problems, or data corruption from spreadsheet applications that are hard to spot manually.
THE SOLUTION
CSV Workbench validates files immediately when you add them—catching RFC 4180 violations, encoding issues, and security risks. Edit files directly in the browser without spreadsheet corruption. Generate schemas to validate future files.
THE OUTCOME
Issues caught before files enter your systems. Your data never leaves your computer.
THE PROBLEM
Recurring automated CSV transfers break your ETL jobs with structural or data corruption issues. Bad data corrupts databases, triggers exceptions, and causes silent failures.
THE SOLUTION
Use the free web app to generate a CSV Schema defining your data contract. Integrate server-side validation engines (AWS or Azure) into your pipeline. Files that fail validation are rejected with detailed error reports before processing.
THE OUTCOME
Bad data never reaches your systems. Downstream assets protected. Your data stays in your infrastructure.
THE PROBLEM
Setting up a new CSV data transfer process? Without clear standards, you get ambiguous requirements, format mismatches, and endless back-and-forth with data providers.
THE SOLUTION
Create a formal data contract using CSV Schema. Generate from a sample file or build from scratch. The schema is executable documentation defining required columns, data types, validation rules, and constraints. Share with data providers.
THE OUTCOME
Zero ambiguity. Providers validate before sending. You validate before processing. Machine-readable specification both parties trust.
All solutions keep your data 100% local and private. No uploads, no servers, no tracking.
Start Solving CSV Problems FreeBuilt for performance, security, and developer experience. Everything you need to validate CSV data at enterprise scale.
Generate schemas from your CSV data using intelligent type detection and constraint inference. Supports 6 data types with rich validation rules.
High-performance validation using WebAssembly engines. All processing happens locally in your browser using Web Workers for responsive UI during validation.
Validate CsvString, CsvInteger, CsvDecimal, CsvMoney, CsvDateTime, and CsvBoolean fields with rich constraints, including regex patterns, ranges, and ISO 4217 currency codes.
Built-in CSV injection protection, binary content detection, UTF-8 validation, and resource limit enforcement.
File System Access API provides direct access to your local files without uploads. Validation runs on complete files with efficient processing.
Your data never leaves your computer. Complete privacy and control with enterprise-grade validation running entirely in your browser using File System Access API.
A sophisticated validation pipeline that ensures data quality, security, and performance through intelligent multi-stage processing.
When you add a CSV file reference, CSV Workbench automatically validates the file structure and RFC 4180 compliance using high-performance WebAssembly engines. Files are accessed directly from your computer using the File System Access API—no uploads, complete privacy. The file reference can only be saved if validation passes.
✓ UTF-8 encoding validation
✓ RFC 4180 strict compliance verification
✓ Comma delimiter, double-quote escaping
✓ Consistent column counts across all rows
✓ Proper quote pairing
✓ Security screening (CSV injection, binary content)When you add a CSV Schema file reference, CSV Workbench automatically validates both the JSON structure and logical consistency using WebAssembly engines. The schema must conform to the CSV Schema meta-schema specification. Like CSV files, schema references can only be saved if validation passes—ensuring your validation rules are correct before use.
✓ Stage 1: JSON structure validation (meta-schema)
✓ Stage 2: Logical consistency validation
✓ Required fields verification
✓ Column definition validation
✓ Constraint compatibility
✓ Duplicate detection (names, numbers, constraints)Click "Validate Data" in the CSV Data Editor to validate your CSV file against its associated schema. Both files are read fresh from disk each time (ensuring you're validating the latest version) and passed to the WebAssembly validation engine. Get comprehensive validation with row-by-row analysis, checking data types, constraints, required fields, regex patterns, value ranges, and custom rules.
✓ Column count and name matching
✓ Data type validation (6 CSV Schema types)
✓ Constraint validation (ranges, patterns, formats)
✓ Required field verification
✓ Row-by-row analysis with exact locations
✓ Fail-fast termination on errors
✓ Detailed error codes and messages
✓ Actionable remediation suggestionsClick "Generate Schema" to automatically create a CSV Schema from your CSV file. The WebAssembly engine analyzes your data and intelligently detects column types, constraints, and patterns. Review the generated schema in an interactive dialog showing detected types, confidence levels, and sample values. Edit metadata (name, version, description) before saving. This creates a formal data contract you can share with data providers or use for automated validation.
✓ Intelligent type detection (6 CSV Schema types)
✓ Statistical analysis per column
✓ Nullability analysis
✓ Uniqueness analysis (diagnostic only)
✓ Conservative defaults (no constraints generated)
✓ Streaming with bounded memory
✓ Detailed generation report
✓ RFC 4180 compliant schemasView validation results in a unified dialog with multiple tabs: Results (status, error/warning counts, detailed messages), Error Recovery (suggested fixes), and Raw JSON (complete WASM engine response with copy/download). Track validation history showing the last 50 operations with timestamps, success/failure status, processing time, and row counts. Visual error highlighting in the CSV Data Editor shows exactly which cells have issues with color-coded severity (red for errors, yellow for warnings) and detailed tooltips.
✓ Unified validation dialog (Results, Recovery, Raw JSON)
✓ Row/column-specific error locations
✓ Severity levels (ERROR, WARNING, INFO)
✓ Structured error codes from registry
✓ Visual cell highlighting in editor
✓ Hover tooltips with error details
✓ Validation history (last 50 operations)
✓ Processing metrics and success rates
✓ Raw JSON with copy/downloadTailored solutions for different teams and use cases, from enterprise data governance to developer automation.
Scenario: Receiving CSV files via email with quality issues? CSV Workbench validates immediately when you add files—catching encoding problems, RFC 4180 violations, and security risks before they corrupt your systems.
Scenario: Tired of debugging CSV parsing errors at 2 AM? CSV Workbench validates structure, encoding, and data types automatically—with detailed error reports showing exact row and column locations.
Scenario: Bad CSV data breaking your automated workflows? CSV Workbench acts as a validation gateway. Generate schemas with the free web app, then integrate server-side engines (AWS/Azure) to reject bad files before they corrupt your pipeline.
The CSV Workbench web application is free of charge. Server-side validation engines are billed for time used.
Full-featured browser-based CSV editor and validator. Offline-capable Progressive Web App (PWA).
Deploy from AWS Marketplace with EC2 AMI
Deploy from Azure Marketplace with VM Images
The CSV Workbench web application includes everything most users need—completely free. Server-side validation engines are designed for enterprise automation and integration workflows.
| Feature | CSV Workbench (Free) |
AWS Validation (Coming Soon) |
Azure Validation (Coming Soon) |
|---|---|---|---|
| Core Validation Features | |||
| Format Validation - Checks CSV structure (RFC 4180 compliance) | ✓ Included | ✓ Included | ✓ Included |
| Schema Validation - Checks schema file validity | ✓ Included | ✓ Included | ✓ Included |
| Data Validation - Validates CSV data against schema rules | ✓ Included | ✓ Included | ✓ Included |
| Schema Generation from CSV | ✓ Included | ✗ Not Applicable | ✗ Not Applicable |
| 6 Data Types Support | ✓ Included | ✓ Included | ✓ Included |
| Rich Constraint Validation | ✓ Included | ✓ Included | ✓ Included |
| WebAssembly-Powered Performance | ✓ Included | ✗ WASM N/A Server-side | ✗ WASM N/A Server-side |
| Editing & File Management | |||
| CSV File Editor | ✓ Included | ✗ Not Applicable | ✗ Not Applicable |
| Schema File Editor | ✓ Included | ✗ Not Applicable | ✗ Not Applicable |
| File System Access API | ✓ Included | ✗ Not Applicable | ✗ Not Applicable |
| Auto-Save Changes | ✓ Included | ✗ Not Applicable | ✗ Not Applicable |
| Security & Privacy | |||
| 100% Local Processing | ✓ Included | ✓ Included | ✓ Included |
| Zero Data Upload | ✓ Included | ✓ Included | ✓ Included |
| CSV Injection Protection | ✓ Included | ✓ Included | ✓ Included |
| Binary Content Detection | ✓ Included | ✓ Included | ✓ Included |
| UTF-8 Validation | ✓ Included | ✓ Included | ✓ Included |
| Deployment & Integration | |||
| Browser-Based Access | ✓ Included | ✗ Not Applicable | ✗ Not Applicable |
| Offline-Capable PWA | ✓ Included | ✗ Not Applicable | ✗ Not Applicable |
| Server-Side Deployment | ✗ Not Applicable | ✓ EC2 AMI | ✓ VM Images |
| VPC/VNet Integration | ✗ Not Applicable | ✓ Included | ✓ Included |
| API Integration | ✗ Not Applicable | ✓ Included | ✓ Included |
| Batch Processing | ✗ Not Applicable | ✓ Optimized | ✓ Optimized |
| Support & Pricing | |||
| Cost | Free | Time-Based Billing | Time-Based Billing |
| Support Level | Community | Enterprise | Enterprise |
| Credit Card Required | No | Yes | Yes |
The CSV Workbench web application includes full editing capabilities, 100% privacy with local processing, and no credit card required. Perfect for individual users and small teams.
Start Using CSV Workbench FreeThese are the most common ways teams use CSV Workbench to solve real CSV data quality problems.
SCENARIO
We receive CSV files from external entities and internal groups through manual file transfer processes (email, file share, etc.). We review the files manually, and they often have structural or data corruption issues.
SOLUTION
CSV Workbench provides immediate validation when you add a CSV file, automatically detecting structural issues, RFC 4180 compliance violations, encoding problems, and security risks. The browser-based editor lets you fix issues directly without risking spreadsheet application corruption. You can also generate a schema from the CSV file to establish validation rules for future files. Your data never leaves your computer.
SCENARIO
We receive CSV files from external entities and internal groups via recurring automated file transfers. The files often have structural or data corruption issues that break our file ingestion and processing jobs.
SOLUTION
CSV Workbench can act as a validation gateway in your automated workflows. First, use the free web application to generate a CSV Schema from a sample file that defines the expected structure and data types. Then, integrate the server-side validation engines (AWS or Azure) into your ETL pipeline to automatically validate incoming files before processing. Files that fail validation are rejected with detailed error reports, protecting your downstream systems from bad data. Data stays in your infrastructure.
SCENARIO
We are establishing a new recurring CSV data transfer process and want to define what a properly formatted file looks like to remove any ambiguity.
SOLUTION
CSV Workbench helps you create a formal data contract using CSV Schema. Generate a schema from a sample file or create one from scratch using the schema editor. The schema serves as executable documentation that clearly defines required columns, data types, validation rules, and constraints. Share this schema with data providers so they know exactly what format is expected. Data providers can then use CSV Workbench themselves to validate their files before sending, ensuring compliance with your requirements. The schema eliminates ambiguity and provides a machine-readable specification that both parties can validate against.
Join thousands of developers and data teams who trust CSV Workbench for reliable, fast, and secure CSV validation.