Parquet Viewer & Schema Inspector
Inspect Parquet column names, data types, compression codecs, row groups, row count, and the first rows directly in your browser.
Checks before and after data conversion
1Before converting
- Keep the source file and confirm its encoding and data format.
- Check whether the first row contains headers and whether field names look correct.
- For personal or sensitive data, confirm where processing happens and who will receive the output.
2After converting
- Use the preview to verify text, column names, and row counts.
- Open the result in Excel or the destination system and check dates and long numbers.
- Save the converted file under a new name so it can be compared with the source.
Common next steps
What is Parquet Viewer?
Inspect the structure and sample rows of Parquet files from AWS S3, Athena, BigQuery, Spark, and other data platforms without installing desktop software.
Quickly inspect Parquet from BigQuery and AWS
Check schema, row count, compression, and the first 20 rows before converting to CSV or Excel. This is useful for understanding a file without expanding the full dataset into a table.
Information shown
- Column names and nested paths
- Physical and logical types
- Total rows and row groups
- Compression codecs and creator
- The first 20 rows
How this tool fits the workflow
Best use case
This tool is most useful during image preparation, before publishing or sharing.
Typical next step
After this step, users often continue with Parquet to CSV or Parquet to Excel.
How to use
- 1Choose a Parquet file
- 2Click Inspect
- 3Review the summary and schema
- 4Check the first rows
FAQ
Can I inspect Parquet without Excel?
Yes. The schema and first 20 rows are displayed directly in your browser.
Is the file uploaded?
No. The file is read locally in your browser.
Can I convert it too?
Use the related Parquet to CSV or Parquet to Excel tools for conversion.
Related tools for the next step
Need help choosing the right workflow?
The guide section covers format differences, compression tips, and common PDF workflows.