How to Parquet to CSV
- 1Upload a Parquet file.
- 2Review the decoded table.
- 3Download a CSV for inspection or handoff.
Developer · browser workspace
Open Apache Parquet files and export their rows to CSV for spreadsheets, sharing, and inspection. 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 CSV containing the decoded Parquet rows.
A CSV containing the decoded Parquet rows.
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.
Convert tabular CSV data into compressed Apache Parquet for analytics, DuckDB, Python, and data pipelines.
Preview and search the first 500 CSV rows privately in your browser.
Find delimiter, encoding, header, row-shape, type, and data-quality problems before importing a CSV.
A practical guide to converting CSV data to Parquet, preserving identifiers, reviewing inferred types, and validating the result in DuckDB or Python.
Prepare CSV files for reliable pandas imports by making encoding, delimiters, nulls, dates, identifiers, and column types explicit.
Use the symptom-specific walkthrough before changing a production file.