Before you start
What you need
A valid CSV table and at least one exact source=target mapping.
Developer & Data
CSV Column Mapper
Select, reorder, and rename CSV columns with an explicit source-to-target mapping.
- 01Runs in this browser
- 02Limits are explicit
- 03Copy or download output
No black box
How this tool handles the input
The CSV is parsed and validated first. Each mapping is matched against the exact header name, then rows are serialized with the new unique headers.
What you get
What the page gives back
A new CSV containing only the selected, renamed columns.
Keep in mind
Use the result responsibly
Header matching is case-sensitive. This tool changes column structure only; it does not transform cell values.
Practical uses
Where this tool earns its place
- Align vendor headers with an import template.
- Remove unused columns before sharing a file.
- Reorder columns for a repeatable handoff.
Verified data boundary
Source text stays on this page.
The published contract marks these tools as client-only processing. Nirmion uses the API only to confirm that this workspace is enabled in MySQL; source values and results are not sent to Flask.