FILE FORMAT CONVERSION · Workflow idea
Take a CSV file from a chosen location and prepare a JSON copy of its records. Keep the original file available, make the field relationships clear, and give someone a chance to check the converted result before it is used elsewhere.
01 / The starting point
A local CSV file containing rows of information for conversion
“Convert the selected CSV records into a JSON file while preserving their fields and preparing the result for review.”
02 / The work
Helps a data owner move row-based information into a structured file that another team or process can work with.
Select the intended local file and confirm that it contains the records to convert.
Check that columns have clear headings and that the selected rows belong in the new file.
Convert the selected rows into a structured file while retaining the original field names and values.
Check representative records, the total number of rows, and any blank or unusual values against the source.
Have a data owner confirm the file contents and destination before it is shared or used for an import.
03 / The result
A structured JSON copy of the selected CSV data, ready for a person to check before handoff or further use.
Documents · Example outcome
A structured JSON copy of the selected CSV data, ready for a person to check before handoff or further use.
Confirm that the correct file, columns, row count, and value meanings were carried over. Review sensitive fields and the destination before sharing the converted file.
04 / Make it yours
A few choices shape the work around your team.
Choose where the CSV file comes from and document the headings and record types it should contain.
Decide how the converted copy is named, where it is saved, and who may access it.
Agree how blank cells, repeated rows, and inconsistent headings should be surfaced for review.
Convert a small example and compare its fields and records with the original before handling a larger file.