How to CSV Diagnostic
- 1Upload the problematic file.
- 2Review delimiter, encoding, headers, row-shape, and type findings.
- 3Use the recommended repair tool and re-check the result.
Optimize & Repair · browser workspace
Find delimiter, encoding, header, row-shape, type, and data-quality problems before importing a CSV. Process locally in your browser with HappyCSV.
Quick start
Everything runs in your browser, so you can test the workflow with sample data when available before using production files.
Output: A JSON diagnostic report with actionable data-quality findings.
A JSON diagnostic report with actionable data-quality findings.
Up to 100 MB per CSV, 20 MB per complex document; 250,000 rows, 1,000 columns, 2 million cells, and 128 MB output. Jobs stop after two minutes. Large files may need splitting.
No. File processing stays in your browser. Files are not automatically saved for the next visit.
This tool processes one file at a time.
Troubleshoot common CSV parsing errors like 'Unexpected end of file', 'Invalid column count', and 'Unescaped quote'.
Fix weird characters in your CSV files. Understand UTF-8 vs ANSI, fix mojibake (), and ensure your data displays correctly everywhere.
Why do some CSVs use semicolons? What is a delimiter? Learn about commas, tabs, pipes, and how to handle different CSV formats.
A methodical way to identify delimiter, encoding, header, quoting, row-shape, and type problems before a CSV reaches Excel, a CRM, or a database.
Use the symptom-specific walkthrough before changing a production file.
Find CSV rows with too many or too few fields, identify the structural cause, and verify the corrected file before importing it.
Prepare a CSV for PostgreSQL COPY by checking headers, delimiters, null rules, encoding and rejected field values.