The export that is stuck in the wrong shape
A teammate sends a CSV. Your API wants an array of objects. Or the reverse: you have JSON from a log, and support needs a spreadsheet they can actually open. Writing a one-off Python script every time is friction you do not need.
CSV in, JSON out
Paste the rows into the CSV to JSON Converter. The header row becomes keys; each following line becomes an object. Adjust the delimiter if your file uses semicolons or tabs, and copy the result straight into your request body or fixture.
JSON in, CSV out
Going the other way, the JSON to CSV Converter flattens an array of objects into downloadable rows. It handles nested values by keeping them readable, so the spreadsheet still makes sense when opened.
Why do it in the browser
- No backend, no package to install, no column-mapping code to maintain.
- Your data stays local — useful when the rows contain anything sensitive.
- Instant round-trips while you prototype an import or an export job.
Next time a handoff is "just convert this for me," open the converter, paste, copy. The transformation that used to be a throwaway script is now a ten-second step.