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CSV Validator

Professional CSV validation tool with real-time error detection. Validate structure, data types, and quality instantly.

Real-time Validation
100% Private
Completely Free

Paste CSV data and click Validate to see results

Total Rows: 0
Total Columns: 0
Valid Rows: 0
Invalid Rows: 0
Total Errors: 0

Your privacy is protected! No data is transmitted or stored.

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Real-World Use Cases

When You Need CSV Validator

Common scenarios where CSV validation is essential

Database Import & Migration

Validate CSV files before importing into databases, CRM systems, or data warehouses to prevent data corruption and ensure data integrity.

Data Quality Assurance

Ensure data quality before processing, reporting, or analysis. Detect duplicates, empty cells, and data inconsistencies early in the pipeline.

API Response Validation

Validate CSV data returned from APIs or external sources to ensure consistency, correctness, and compliance with expected data formats.

User-Submitted Data Validation

Validate CSV files uploaded by users to ensure they meet your application's requirements and data standards before processing or storage.

Compliance & Regulatory Auditing

Verify CSV data meets compliance requirements and generate detailed audit reports for regulatory purposes and data governance compliance.

Data Cleaning & Preparation

Identify and fix data issues, remove duplicates, and clean CSV files before using for machine learning, analytics, or business intelligence.

FAQ

Frequently Asked Questions

Find answers to common questions about CSV validation and cleaning

CSV Validator automatically detects: duplicate rows, empty cells, empty rows, and data types (text, numbers, emails, dates, phone numbers). It generates a detailed validation report showing which rows have issues and calculates an overall data quality score from 0-100%.

The data quality score (0-100%) is calculated based on three factors: empty cells (30% weight), duplicate rows (40% weight), and empty rows (30% weight). A score of 100% means your CSV has no empty cells, duplicates, or empty rows. Lower scores indicate data quality issues that should be addressed before using the data.

Yes! The Auto-Clean All feature automatically performs three cleaning operations: trimming whitespace from all cells, removing completely empty rows, and eliminating duplicate rows. After cleaning, you can download the cleaned CSV file. The cleaning stats show exactly how many rows and cells were modified.

CSV Validator supports four common delimiters: comma (,), semicolon (;), tab, and pipe (|). You can select the appropriate delimiter before validation. If your CSV uses a different delimiter, you can still paste the data and select the correct delimiter from the dropdown menu.

Yes! CSV Validator is 100% client-side, meaning all processing happens in your browser. Your data is never sent to any server and is not stored anywhere. Your privacy is completely protected. You can safely validate sensitive or confidential CSV data without any security concerns.

We support CSV (.csv) and plain text (.txt) files up to 10MB in size. You can also paste CSV data directly into the input field. For files larger than 10MB, consider splitting them first using our CSV Splitter tool before validation.

You can export validation results in multiple ways: download the validation report as JSON format for detailed analysis, download only valid rows as a new CSV file, or download cleaned data after using the Auto-Clean feature. This helps with documentation, auditing, and data cleanup workflows.

Yes! You can toggle the "First row as header" checkbox to specify whether your CSV has headers. When enabled, the first row is treated as column headers and is not included in the validation statistics. This ensures accurate row counts and error reporting.

CSV Validator automatically detects: text, integers, decimals, emails, phone numbers, dates (multiple formats), and empty cells. The column analysis shows the distribution of data types for each column, helping you understand your data structure and identify type mismatches.

Duplicate detection compares entire rows to find exact matches. If two or more rows have identical values across all columns, they are flagged as duplicates. The validation report shows which rows are duplicates of each other, and the Auto-Clean feature can remove duplicate rows automatically.

The Auto-Clean feature modifies your data in the browser. To preserve your original data, always download the cleaned CSV before closing the tool. If you need to revert changes, reload the page or paste your original CSV data again. We recommend keeping a backup of your original file.

The validation report includes: Summary Cards (Valid/Invalid rows, total errors, success rate), Column Analysis (fill rate and data types per column), Errors by Column (columns with issues), and Issues Found (specific duplicate and empty rows). Use this information to identify which rows and columns need attention before processing your data.

CSV Validator handles inconsistent columns by analyzing each row independently. If some rows have fewer columns than others, the validator will still process them and flag any data quality issues. The column analysis shows the data types found in each column position, helping you identify structural inconsistencies that need to be fixed.
Powerful Features

Everything You Need, Zero Hassle

Validate and clean CSV data with our powerful validator

Real-time Validation

Instant validation with comprehensive error detection and data quality scoring!

Auto-Clean Data

Remove duplicates, trim whitespace, and clean data automatically!

Multiple Exports

Export validation reports, valid rows, and cleaned data!

How It Works

Simple, Fast, Effortless

Validate CSV in just a few clicks

01
Upload CSV

Upload or paste your CSV data into the input field.

02
Validate Data

Click Validate to check for errors, duplicates, and data quality!

03
Clean Data

Use Auto-Clean to remove duplicates and fix issues!

04
Export Results

Download cleaned data, valid rows, or validation report!