Slim CSV and Deduplicate
Remove unwanted columns, deduplicate rows, then validate the final CSV.
Use case
Use this before sharing a CSV with external parties when you need to strip private or irrelevant columns and ensure no duplicate records are included.
What to expect
Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.
Remove unwanted columns, deduplicate rows, then validate the final CSV.
CSV Column Remover
CSV → CSV
Remove columns
CSV with the specified columns removed.
CSV Deduplicator
CSV → CSV
Deduplicate CSV
CSV with duplicate rows removed, keeping first occurrences.
CSV Validator
CSV → TEXT
Validate CSV
Status report with column count and any detected errors.
Workflow steps
Workflow shortcut
Next unlocked step: Step 1 · CSV Column Remover
CSV Column Remover
Drop unwanted columns from a CSV. Specify which columns to remove and get a cleaned result.
Columns to remove
Comma-separated column names, for example: age,city
CSV input
Paste the CSV to trim and use the separate columns field above to pick columns to remove.
Trimmed CSV
CSV with the specified columns removed.
Run this step to process the current input and prepare the next workflow stage.
CSV Deduplicator
Remove duplicate rows from a CSV, keeping the header and the first occurrence of each unique row.
CSV input
Paste CSV that may contain duplicate rows.
Deduplicated CSV
CSV with duplicate rows removed, keeping first occurrences.
Run this step to process the current input and prepare the next workflow stage.
CSV Validator
Validate CSV syntax and structure — checks column consistency, unclosed quotes, and empty headers.
CSV input
Paste CSV to validate. The original CSV is passed to the next step on success.
Validation result
Status report with column count and any detected errors.
Run this step to process the current input and prepare the next workflow stage.