Live Product + Case Study
CSV Cleaner
A live CRK Dev tool built to help clean messy CSV files faster. The CSV Cleaner removes duplicates, standardizes formatting, applies cleaning rules through guided presets, and returns cleaner outputs with a summary of what changed.
- ✅ Cleaned CSV output
- ✅ Preset-based cleanup workflow
- ✅ Duplicate removal + formatting cleanup
- ✅ Summary of what changed
This case study pairs with the live tool at csv.crkdev.com.
Overview
The Problem
CSV exports often show up with duplicate rows, inconsistent casing, stray whitespace, messy formatting, and uneven structure. Even when the file “looks close,” it still takes manual cleanup before it can be used confidently.
The Goal
Build a real tool that makes common CSV cleanup faster and easier without forcing people to manually edit rows one by one. The experience needed to be simple on the front end and reliable on the back end.
The Solution
CRK Dev built the CSV Cleaner as a live web tool backed by a Python cleaning engine. Users upload a file, choose a preset, and receive a cleaned output plus a summary of the work performed.
What the CSV Cleaner Does
- ✅ Trim leading and trailing whitespace
- ✅ Normalize common formatting issues
- ✅ Standardize messy values through preset logic
- ✅ Prepare files for easier downstream use
- ✅ Remove duplicate rows
- ✅ Apply repeatable cleanup rules
- ✅ Return a cleaner, more usable output file
- ✅ Generate a summary of key changes
- ✅ Upload a CSV file through the live tool
- ✅ Choose a preset that matches the type of cleanup needed
- ✅ Run the Python backend cleaning pipeline
- ✅ Download the cleaned file and summary output
Demo Video
This demo shows the live CSV Cleaner workflow: upload, choose a preset, process the file, and return cleaner output.
Before / After
The screenshots below show the same core value proposition the live tool delivers: messy input goes in, cleaner and more usable output comes back.
Results
Usability
The CSV Cleaner turns a backend data-cleaning workflow into a simple tool people can actually use without touching code.
Consistency
Preset-based cleanup helps produce more consistent files so messy exports are easier to review, import, and work with.
Reusability
The same underlying engine can be applied repeatedly as new files come in, making cleanup faster than doing the work by hand every time.
Why this matters
- ✅ Shows a real working product, not just screenshots or mockups
- ✅ Demonstrates frontend, backend, deployment, and live delivery working together
- ✅ Makes common CSV cleanup tasks faster and more repeatable
- ✅ Creates a path from self-serve tool use to custom client work
Downloads
Sample files below show the type of messy input the tool is designed to handle and the kind of cleaner output it can produce.
- ✅ Cleaned and easier to use
- ✅ Better structured for next-step work
Try the tool or hire me for custom work
Use the live CSV Cleaner for fast file cleanup, or hire me if you need more advanced data cleaning, scraping, automation, or custom workflows.