Parquet to JSON Converter
Upload a .parquet file and get back a pretty-printed JSON array of row objects, ready to copy or download. Every column is decoded locally with hyparquet; 64-bit integers, timestamps, and binary values are safely converted into JSON-friendly numbers, ISO strings, and hex strings so nothing gets lost or silently truncated.
Reviewed by Vincenzo Manto, Founder & Lead Developer · Last updated September 27, 2026
How it works
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Upload a .parquet file from your device.
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All rows are decoded locally using the hyparquet library.
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Values are sanitized into JSON-safe types: numbers, ISO date strings, and hex strings.
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Copy the pretty-printed JSON array or download it as a .json file.
Why convert Parquet to JSON?
JSON is the format nearly every scripting language, API, and NoSQL database expects, while Parquet is optimized for compact columnar storage rather than human or API consumption. This converter bridges the two so you can quickly inspect, debug, or feed a parquet dataset into a JSON-based tool or pipeline.
No data loss on conversion
Parquet's binary types, such as 64-bit integers, timestamps with precise time units, and raw byte arrays, don't map cleanly onto JSON's native types. This tool converts each of them deliberately (bigint to number or string, timestamps to ISO strings, bytes to hex) so the output stays both readable and lossless.
Frequently asked questions
How are 64-bit integers handled in the JSON output?
Parquet INT64 columns decode as JavaScript bigint, which JSON can't represent natively. Values that fit safely in a regular number are converted to a plain number; larger values are converted to a decimal string so precision isn't lost.
What format are timestamp columns converted to?
Timestamp and date values are converted to ISO 8601 strings (e.g. 2024-01-01T00:00:00.000Z), which most JSON consumers and JavaScript's Date constructor parse directly.
How are nested list or struct columns represented?
They come through as native nested JSON arrays and objects, since JSON, unlike CSV, has first-class support for nested structures. That makes this the most faithful export format for complex parquet schemas.
Is my file uploaded to a server?
No. Decoding and JSON serialization both happen client-side using hyparquet, so the file never leaves your browser.
Can I convert the JSON output back into a Parquet file?
Yes, use the companion JSON to Parquet tool, which accepts a flat JSON array and writes it back to .parquet with inferred column types.