How to Clean Messy CSV & Excel Files in 1 Click Without Uploading Your Data to a Server

Dealing with disorganized CSV and Excel files can be a frustrating challenge when working with CRM exports, accounting spreadsheets, or HR lists. These messy files often contain a mix of date formats (DD/MM/YYYY or YYYY-MM-DD), invisible trailing spaces that disrupt VLOOKUP/XLOOKUP functions, duplicate rows, and a variety of errors such as #REF! or #N/A. Additionally, inconsistent casing and typos in city or company names further complicate the issue.

The primary concern is privacy. If the spreadsheet includes sensitive information like customer emails, phone numbers, or salaries, uploading the file to platforms like ChatGPT or random cloud converters violates GDPR and company security policies.

To address these issues, a solution called Tidify has been developed. Tidify is a free, browser-based data cleaning workspace that allows you to clean your .csv or .xlsx file without uploading any data to a remote server. Instead, it processes and cleans your file entirely within your browser's RAM using WebAssembly/JavaScript.

Tidify offers a range of features that can fix your data in just one click, including:

- Strict deduplication and empty row purge

- Date and currency standardization (ISO YYYY-MM-DD, DD/MM/YYYY, numeric salaries)

- Contact normalization (emails lowercased, phone numbers formatted, names capitalized)

- Cell-by-cell diff and audit report for verifying every change before exporting back to .xlsx or .csv

You can try Tidify immediately in your browser, as it is available in English, French, German, Spanish, and Portuguese. Simply launch Tidify (Free) to get started.