You waste time every week renaming files and fixing CSV exports that come out of tools “almost right.” This zero-dependency Python script cleans your CSVs and organizes your file folders in one run, offline, with no pip installs and no subscriptions.

What it does

• CSV cleaning: trims whitespace in every cell, normalizes headers, removes duplicate rows, and drops empty rows.
• Header normalization: converts messy names like “Order Date (USD)” into clean, consistent keys such as order_date_usd.
• Delimiter auto-detection: detects commas, semicolons, tabs, and pipes, so exports from different systems import cleanly.
• Encoding support: reads common CSV encodings including UTF-8, UTF-8-BOM, UTF-16, and cp1252.
• Bulk file organization: batch-renames files with a re-datable date prefix for consistent tracking across projects and clients.
• Automation-friendly: runs offline on your machine, so you can process exports on demand without relying on any third-party service.

Why small businesses use it

You get cleaner data you can trust, plus file names you can search. Use it after accounting exports, CRM exports, marketplace downloads, or any manual pull you do every month. If you want a practical business utility that saves time without setup headaches, this script pays for itself quickly.