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CSV to Parquet Converter

Convert CSV files to Apache Parquet format instantly in your browser. Automatic type inference, Snappy compression, no uploads required.

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How to Use CSV to Parquet Converter

How to Use CSV to Parquet Converter

What is Apache Parquet?

Apache Parquet is a columnar storage format widely used in data engineering and analytics. Compared to CSV, Parquet offers:

  • Smaller file sizes β€” typically 2–10x smaller due to columnar encoding and compression
  • Faster queries β€” column pruning means only relevant columns are read
  • Type safety β€” explicit schema with typed columns
  • Wide ecosystem support β€” Spark, Flink, BigQuery, Redshift, DuckDB, Pandas, and more

Step 1: Upload Your CSV File

Click the upload area or drag and drop your .csv file. The first row must contain column headers. Maximum file size: 50MB.

Step 2: Convert

Click "Convert to Parquet". The tool:

  1. Parses the CSV (handles quoted values, commas in fields)
  2. Infers the column type for each column (BOOLEAN, INT32, INT64, DOUBLE, or STRING)
  3. Writes a Parquet file with Snappy compression

Step 3: Download

Click "Download Parquet" to save the .parquet file. The output uses the same base name as the input.

Type Inference

The converter automatically detects column types:

  • true/false values β†’ BOOLEAN
  • Whole numbers fitting 32-bit range β†’ INT32
  • Whole numbers outside 32-bit range β†’ INT64
  • Decimal numbers β†’ DOUBLE
  • Everything else β†’ STRING

Tips

  • Ensure your CSV has a header row as the first line
  • Empty cells in numeric columns are stored as null
  • For large datasets (10MB+), processing may take a few seconds
  • The output Parquet file uses Snappy compression by default
  • All processing is offline after page load β€” no internet required

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