Online CSV File Validator

The Online CSV File Validator checks CSV structure and formatting before ingestion, sharing, or processing. It targets data engineers, analysts, and ETL teams who need to verify that CSV inputs are well-formed for databases and analytics pipelines. Users can paste CSV content or upload a file, and the tool reports errors with line and column references, along with remediation suggestions. It emphasizes RFC 4180 compliance and supports UTF-8 with BOM awareness.
The validator auto-detects delimiters (comma, semicolon, tab, or pipe) or accepts a user-specified delimiter, then parses with a robust streaming engine that respects quotes and escapes. It validates header presence, column counts per row, trailing delimiters, and empty lines, while computing total, valid, and invalid row counts. An error list is produced, including line, column, error code, and description. Optional schema validation can check required fields and basic data types. It can export a sanitized, consistently delimited CSV or a JSON error report for downstream systems.
Beneficiaries include teams performing data imports, ETL validation, and data exchanges between systems. Unique value lies in deliberate RFC 4180 enforcement, real-time ambiguity detection, and streaming support for larger files, paired with actionable diagnostics rather than generic failure messages. Use cases span spreadsheet exports, warehouse ingestion, API data feeds, and QA checks prior to data migration or analysis.