Online CSV Formatting Utility

I need a lightweight, web-based tool that lets a user upload a raw CSV file, automatically detects every column that should contain numbers, and rewrites those fields as clean, true numeric values. The focus is strictly on fixing formatting issues—no deduping or wider validation this time—so the engine must strip stray commas, currency symbols, spaces or other non-numeric characters, convert the result to an appropriate numeric type, and then return the file for download with headers and column order unchanged.

A minimal, intuitive interface is enough: drag-and-drop or file picker, a quick progress indicator, and a short report listing which columns were corrected. Accuracy and speed matter more than visual polish.

Preferred stack is flexible. A small React or vanilla-JS front end paired with a Python (Pandas) or Node service works, provided the final solution ships in a single Docker container that will deploy easily on my DigitalOcean droplet.

Deliverables
• Clean-numbers engine that processes CSVs up to 50 MB
• Front end for upload, status display, and download
• Source code in a Git repo with a concise README
• Dockerfile and deployment steps I can run end-to-end

I’ll pick the freelancer who can outline a clear approach, list the main libraries they’ll use (e.g., Pandas, fast-csv), and share a quick demo or screenshot of similar work.