Productivity / 4 min read
Use a CSV Viewer Before Importing Data
Preview pasted CSV as a table so you can catch broken rows, wrong headers, and messy exports before using the data.
CSV mistakes are easier to see in a table
Raw CSV text can hide simple problems. A missing quote, extra comma, or shifted column may be hard to spot until you preview the data as rows and columns.
Using a CSV viewer before importing data gives you a fast sanity check, especially when the file came from a form export, spreadsheet, analytics tool, or copied table.
What to look for
Start with the header row. If the headers look shifted, the rest of the data may also be misaligned.
- Headers should match the expected columns.
- Rows should have a consistent number of cells.
- Names, emails, dates, and numbers should appear under the right header.
- Quoted commas should stay inside one cell.
Keep sensitive data private
For customer lists or private exports, prefer tools that preview CSV locally in your browser. Avoid uploading sensitive data to random tools unless you trust the service and understand its policy.