Implement a checked CSV and JSON conversion

Keep the original file and define acceptance checks before conversion.

1. Assign one reviewer and record the intended destination.
2. Confirm whether organizational policy permits the selected processing method.
3. Record encoding, delimiter, line ending, headers, null rules, and required data types.
4. Prepare a sample with leading zeros, quoted delimiters, missing fields, and repeated headers.
5. Choose the CSV and JSON converter options deliberately.
6. Read each rejection. Correct the source rather than hiding invalid rows.
7. Check JSON syntax with the JSON formatter.
8. Compare input and output row counts, required fields, identifiers, and representative values.
9. Check the receiving application's formula policy before opening CSV.
10. Keep the original, selected options, accepted output, and reviewer decision.

What evidence confirms acceptance?

Record the source filename, observed row count, chosen format, sample checks, reviewer, and review date. Do not place private customer records in a public issue or demonstration.

When must you stop the conversion?

Stop when identifiers change, required fields disappear, row counts differ, or nested paths conflict. Stop when the receiving schema rejects the result. Resolve the cause before sharing the converted file.

Use measured sample evidence, selection criteria, the spreadsheet comparison, and your cost estimate before rollout.