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Identify and remove duplicate rows from CSV files
Validate CSV data against custom rules
Transform CSV columns with 25+ operations: text manipulation (uppercase, lowercase, trim), number formatting, date conversion, extraction patterns, and custom pipelines
CSV files from different systems often arrive with quirks — mismatched quoting, ragged column counts, extra whitespace, wrong delimiters. Upload the file here and the formatter detects every structural issue, shows you exactly where it is, and lets you fix everything in one click.
Validate and repair CSVs before loading them into a database so imports don't fail midway.
Bring CSVs from multiple vendors into a single, consistent format for your data pipeline.
Pinpoint the exact row and column causing a parsing failure in your application.
The formatter checks your file against RFC 4180 rules and common real-world conventions. It catches unescaped delimiters hiding inside fields, rows with too many or too few columns, improperly nested quotes, and encoding anomalies. After analysis you can auto-apply fixes, switch delimiters, or standardize quoting — then preview the cleaned output before downloading.
Yes. The tool auto-detects the current delimiter and lets you re-export with a different one.
No. The formatter only fixes structural issues like quoting and whitespace. Your cell values remain untouched.
Inconsistent column counts, improperly quoted fields, unescaped special characters, encoding mismatches, and extra or missing delimiters.
All processing happens directly in your browser. Your files never leave your device and are never uploaded to any server.