3. Command-Line Processing with jq (Best for Linux/macOS Power Users)
To help you decide, here's a summary table for each conversion scenario.
Manual process; inefficient for processing more than a few tokens.
For developers, data analysts, or businesses processing thousands of JWS files daily, writing a local script is the absolute best approach. Python handles encoding and data manipulation flawlessly using standard libraries.
Use jq + jose-cli (command line) for batch processing, or Custom Python Script (using PyJWT & pandas ) for complex header/payload flattening.
After conversion to CSV, you can: