Check the CSV structure first
CSV is not a single rigid format: files can use different delimiters, quoting rules and header conventions. Check the first row and a few records before converting so you understand which field names will become JSON keys.
Look for embedded commas, line breaks or quote characters inside fields. Those values need to be parsed correctly or they can shift columns and produce incorrect output.
Understand the JSON result
A common CSV-to-JSON representation is an array of objects where each object corresponds to a row and each object key comes from the CSV header. The conversion is structural; it does not automatically decide whether a text value such as 00123 should become a number or remain a string.
After conversion, inspect a few records and compare field names and row counts with the source. This catches accidental header or delimiter assumptions early.
Handle sensitive datasets carefully
Business exports can contain names, identifiers, contact data and internal values. The supported My Karya Kit conversion path works in the browser and does not require sending the working dataset to a Karya Kit processing server. You should still avoid sharing the resulting JSON unnecessarily.
Recommended workflow
- Open CSV ↔ JSON and select the desired conversion direction.
- Paste or load the source data.
- Check the detected headers and generated structure.
- Review row counts and several records against the original data.
- Download or copy the verified JSON or CSV output.
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