CSV to Parquet Converter
/csv-to-parquetConvert CSV files into compressed Apache Parquet columnar format for fast analytics queries and storage.
Analytics workloads run orders of magnitude faster on Parquet than on CSV. This converter compresses CSV files into the columnar Parquet format, cutting storage dramatically. The result is ready for DuckDB, pandas, and data warehouses. Everything is processed locally on your device.
- 01Upload
- 02Configure
- 03Run
- 04Download
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Your CSV file is converted entirely in your browser — it never leaves your device.
FAQ
Frequently asked questions
Everything you need to know about csv to parquet converter.
Which compression is used?
The output is written with Snappy compression, the most widely compatible Parquet codec across Spark, DuckDB, BigQuery, and other engines.
Why convert CSV to Parquet?
Parquet files are typically 5 to 10 times smaller than CSV and allow analytics tools to read only the columns they need for a query.
Are data types preserved?
Types are inferred from the values in each column via Apache Arrow, so numbers, strings, and booleans keep their types in the Parquet schema.
Can I paste CSV instead of uploading?
Yes. Paste CSV text directly or upload a .csv file; both are converted in your browser to a downloadable .parquet file.
Does the header row become the schema?
Yes. The first row defines the column names of the Parquet table, and every following row becomes one record in the file.
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