Clean and Normalize CSV Before Import
When this applies
This workflow fits when CSV files come from mixed sources. Normalize delimiters, headers, and empty values before ingesting.
Tool to use
Convert CSV data to JSON format.
Open CSV to JSON →Steps
- 1Parse CSV and inspect header consistency across files.
- 2Normalize delimiters and empty-value conventions.
- 3Validate output structure by converting to JSON for checks.
- 4Export cleaned data to target format for import.
Examples
- Cleaning vendor exports before syncing to internal data warehouse.
- Normalizing CRM CSV rows before migration.
What to avoid
- Importing raw CSV with inconsistent delimiters.
- Ignoring trailing spaces in headers and creating duplicate fields.
- Skipping null-value policy before import mapping.
Related tools
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FAQ
Why convert CSV to JSON during cleanup?
JSON view makes schema and field inconsistencies easier to detect.
Should I keep the cleaned CSV versioned?
Yes, keeping versioned clean exports improves traceability.