CSV Deduplication Pipeline
Clean CSV whitespace, remove duplicate rows, then validate the deduplicated result.
Use case
Use this when merging data from multiple spreadsheet exports that may share duplicate records, before loading into a database or analytics pipeline.
What to expect
Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.
Clean CSV whitespace, remove duplicate rows, then validate the deduplicated result.
CSV Cleaner
CSV → CSV
Clean CSV
Normalized CSV ready for the next workflow step.
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 Cleaner
CSV Cleaner
Trim whitespace and normalize CSV records before conversion.
CSV input
Paste the raw CSV you want to normalize.
Cleaned CSV
Normalized CSV ready for the next workflow step.
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.