Upload README.md

README.md

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+---
+title: CSV Data Anonymizer for GDPR
+emoji: 🔒
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 5.34.2
+app_file: app.py
+pinned: false
+license: mit
+short_description: Anonymize CSV sensitive columns for GDPR compliance
+tags:
+  - privacy
+  - gdpr
+  - data-science
+  - csv
+  - anonymization
+---
+
+# 🔒 CSV Data Anonymizer — GDPR Ready
+
+Upload a CSV, select the columns containing sensitive data, and download an anonymized version ready to share with your team or AI tools.
+
+Credits: [xlclick.com](https://xlclick.com)
+
+## Features
+
+- **Auto-detection** of data type (email, name, phone, address…)
+- **Deterministic mapping**: the same real value always produces the same fake value, preserving dataset consistency
+- **Supported types**: Email, First name, Last name, Full name, Phone, Address, City, Postal code, Tax ID, Date of birth, Generic
+- **Preview** of the result before downloading
+- **CSV download** ready to use
+
+## How to use
+
+1. Upload your CSV file
+2. Review the auto-detected column types and correct them if needed
+3. Check/uncheck the columns you want to anonymize
+4. Click **"Anonymize"**
+5. Download the anonymized CSV
+
+## Privacy note
+
+The file is processed entirely in memory on the server — no data is saved to disk or transmitted to third parties.