CSV Split, Dedupe, Quality Gate
Normalize CSV formatting, deduplicate records, then validate structural integrity.
Use case
Use this before operational imports where duplicate records and malformed rows must be caught early.
What to expect
Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.
Normalize CSV formatting, deduplicate records, then validate structural integrity.
CSV Formatter
CSV → CSV
Format CSV
Normalized CSV output with consistent cell quoting.
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 Formatter
CSV Formatter
Normalize CSV by parsing and re-emitting with consistent quoting and proper cell escaping.
CSV input
Paste CSV to normalize quoting and escaping.
Formatted CSV
Normalized CSV output with consistent cell quoting.
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.