Workflow
CSV cleanup in 5 minutes
A quick workflow to make messy exports readable before you share them.
Start with a fast scan
Upload the file and scroll a few screens to spot obvious formatting drift. Look for empty columns, duplicated headers, or random row shifts that signal a delimiter issue.
- Check that column counts stay consistent across rows.
- Watch for headers that repeat mid file.
- Flag any columns that are entirely blank.
Normalize headers
Rename columns so they read like labels, not database fields. Use short nouns like "Region" and "Net Revenue" so filters and sort menus stay easy to scan.
- Keep casing consistent across all headers.
- Trim leading and trailing spaces in header cells.
- Avoid cryptic abbreviations unless they are standard.
Quick CTA
Clean your CSV in minutes
Drop the file into Readable CSV and spot formatting issues fast. Sorting and search make cleanup obvious.
Open the CSV readerTrim and standardize
Sort by a column you expect to be clean, such as dates or IDs. If entries cluster oddly, you likely have extra spaces or mixed formats.
- Use sort to surface blanks or format drift.
- Search for double spaces or stray punctuation.
- Keep one date format across the sheet.
Validate the summary view
Once the file looks clean, check your totals and row counts. A fast sanity check helps you catch missing rows before you share the file.
- Compare row counts with the export source.
- Spot check high value rows after sorting.
- Confirm that key columns have no null spikes.
Key takeaway
A quick visual sweep plus sorting reveals most problems before they ripple through the rest of your workflow.