# CSV Validator Validate CSV structure, detect malformed rows, unbalanced quotes and column mismatches > Canonical page: https://elysiatools.com/en/tools/csv-validator - **Category:** Data Processing - **Keywords:** csv, validator, validate, check, lint, parser, delimiter, quote, structure ## Overview The CSV Validator helps you inspect and verify the structural integrity of your CSV data by identifying malformed rows, mismatched column counts, and unbalanced quotes. Simply paste your raw CSV text, configure your delimiter and quote characters, and instantly locate formatting errors that could break your database imports or data pipelines. ## Inputs - **CSV Input** (textarea): Enter CSV data to validate... - **Delimiter** (text): Field delimiter (comma, tab, semicolon, etc.) - **Quote Character** (text): Character used for quoting fields - **First Row is Header** (checkbox): Treat the first data row as the column header used for column-count comparison - **Strict Column Count** (checkbox): Flag any row whose column count differs from the header - **Allow Empty Lines** (checkbox): Do not warn about blank lines between records - **Allow Trailing Delimiter** (checkbox): Do not warn about an extra delimiter at the end of a line ## When to use - Before importing large CSV datasets into databases, CRM systems, or data analysis tools. - When troubleshooting parsing errors caused by mismatched column counts or unescaped quote characters. - To verify the structural consistency of CSV files generated by custom scripts or legacy export systems. ## How it works - Paste your raw CSV data into the input text area. - Configure parsing options such as the field delimiter, quote character, and whether the first row contains headers. - Toggle validation rules like strict column count matching, allowing empty lines, or permitting trailing delimiters. - Run the validator to instantly view structural errors, including the specific rows and columns where mismatches or unbalanced quotes occur. ## Use cases - Checking database export files for trailing delimiters or empty rows before migration. - Debugging API payloads that transmit tabular data in CSV format. - Auditing user-submitted CSV spreadsheets to ensure they match the expected column template. ## Frequently asked questions ### What does the 'Strict Column Count' option do? It flags any row that contains a different number of columns than the header row. ### Can I validate CSVs that use semicolons or tabs instead of commas? Yes, you can specify any custom character in the Delimiter field. ### How does the validator handle empty lines? By default, it ignores them if 'Allow Empty Lines' is enabled, preventing unnecessary warnings. ### What causes an 'unbalanced quotes' error? This occurs when a field starts with a quote character but does not have a matching closing quote. ### Does this tool support direct file uploads? No, you must paste the CSV text directly into the input area to validate it. ## Related tools - [Column Calculator](https://elysiatools.com/en/tools/column-calculator): Perform calculations on columns and add new rows - [Column Reorder](https://elysiatools.com/en/tools/column-reorder): Reorder table columns without changing the data rows - [Data Append Merger](https://elysiatools.com/en/tools/data-append-merger): Vertically append and merge multiple data tables with intelligent column matching - [Data Column Extractor](https://elysiatools.com/en/tools/data-column-extractor): Extract specific columns from tabular data with support for various formats and flexible column selection - [CSV Malformed Row Surgeon](https://elysiatools.com/en/tools/csv-malformed-row-surgeon): Surgically repair malformed CSV rows one at a time: unescaped (stray) quotes, mixed delimiters (tab/semicolon/comma in the same file), BOM-prefixed headers, CRLF/CR line endings and trailing empty lines. The surgeon parses tolerantly, shows a row-level red/green diff of every change it made (before → after, with the repair reason tagged), lists the rows it accepted unchanged, and emits the cleaned CSV. Optional AI repair can review suspicious rows after the deterministic pass. It complements the CSV Validator (which only reports problems) by actually fixing the damaged rows. - [Column Remover](https://elysiatools.com/en/tools/column-remover): Remove specified columns from table data - [CSV Filter](https://elysiatools.com/en/tools/csv-filter): Filter CSV data by column values with multiple conditions and operators. Supports 12 filter operators including equals, contains, greater_than, less_than, and empty value checks. Additional Filters examples: \[{"column": "age", "operator": "greater_than", "value": "25"}\] \[{"column": "status", "operator": "equals", "value": "active"}, {"column": "score", "operator": "greater_equal", "value": "80"}\] \[{"column": "name", "operator": "contains", "value": "john"}, {"column": "email", "operator": "is_not_empty"}\] - [CSV Flavor to SQL INSERT Emitter](https://elysiatools.com/en/tools/csv-flavor-to-sql-insert-emitter): Parse CSV/Excel-CSV/TSV (auto dialect, RFC 4180) into MySQL/PostgreSQL/SQLite/SQL Server INSERT batches with type inference and ON CONFLICT/IGNORE ## Samples - [CSV Samples](https://elysiatools.com/en/samples/csv-samples): Sample CSV files with various data types, sizes, and complexity levels - [Python Samples](https://elysiatools.com/en/samples/python): Essential Python code examples and Hello World demonstrations - [Windows String Processing - C# Samples](https://elysiatools.com/en/samples/windows-string-processing-csharp): Comprehensive C# string processing examples for Windows platform including string manipulation, splitting, joining, regex operations, and text analysis - [JWT Samples](https://elysiatools.com/en/samples/jwt-samples): Comprehensive JWT examples from basic token structure to advanced security implementations ## Related content - [CSV Export and Table Conversion Tools](https://elysiatools.com/en/hubs/csv-convert): Compare CSV to Excel, JSON, HTML, Markdown, XML, and text conversion tools in one hub for tabular export and interchange workflows. - [CSV Cleanup and Table Reshaping Tools](https://elysiatools.com/en/hubs/csv-utility): Compare CSV cleanup, filtering, sorting, grouping, merging, splitting, and table reshaping tools in one hub for spreadsheet and import/export workflows. - [Data Quality, Dedupe, and Anomaly Detection Tools](https://elysiatools.com/en/hubs/data-quality-anomaly-workflows): Profile CSV/JSON datasets, compare spreadsheet versions, find duplicates, outliers, missing-value issues, referential breaks, and time-series anomalies in one data-quality workflow hub. - [Identifier, Config, and Input Validation Tools](https://elysiatools.com/en/hubs/validation-validate): Compare validators for email, phone, IP, dates, cron, barcodes, payment details, env files, and other real-world inputs in one hub.