Question 1

What personal data does the GDPR Text Cleaner detect and remove?

Accepted Answer

The GDPR Text Cleaner automatically detects and removes various types of personal data including email addresses, phone numbers (international formats), names (German and English), physical addresses with ZIP codes, credit card numbers, IP addresses, URLs, and social security numbers. You can customize which data types to detect using the settings tab.

Question 2

Is my text data processed securely and privately?

Accepted Answer

Yes, absolutely! All text processing happens 100% locally in your browser using JavaScript. No text is sent to external servers, stored in databases, or transmitted over the internet. The tool works completely offline once loaded, ensuring your sensitive data remains completely private and secure on your device.

Question 3

Can I customize what data types are removed?

Accepted Answer

Yes, you have full control over what gets removed. In the Settings tab, you can selectively enable or disable detection for emails, phone numbers, names, addresses, credit cards, IP addresses, URLs, and social security numbers. You can also add custom names or company-specific terms to detect and remove.

Question 4

How do I add custom names or terms to be removed?

Accepted Answer

Go to the Settings tab and find the "Custom Names & Terms" section. Enter your custom names, company names, or specific terms separated by commas or line breaks, then click "Add". These custom terms will be detected and removed along with the standard data types. You can manage and remove custom terms at any time.

Question 5

Is this tool GDPR compliant and safe for legal documents?

Accepted Answer

This tool helps you achieve GDPR compliance by removing personal data (PII) from text documents. Since all processing is local and no data is transmitted, the tool itself is GDPR-compliant. However, overall GDPR compliance depends on your specific use case, data handling procedures, and legal requirements. Always consult with legal experts for comprehensive GDPR compliance strategies.

Question 6

What languages are supported for name detection?

Accepted Answer

The tool currently supports German and English name detection, including common first names and surnames from both languages. It uses comprehensive databases of names and intelligent pattern matching to accurately identify personal names in text, including multi-word names like "Max Mustermann" or "John Smith".

Question 7

Can I undo the cleaning process or restore original text?

Accepted Answer

The tool shows a preview of detected data before processing, and you can toggle between showing the original and cleaned text using the "Show/Hide Original" button. However, once you close the page, the original text cannot be restored. We strongly recommend keeping a backup of your original text in a separate file before cleaning.

Question 8

How accurate is the personal data detection?

Accepted Answer

The detection uses advanced pattern matching and name databases to achieve high accuracy. However, some edge cases may be missed or false positives may occur. We recommend reviewing the detected data list to verify accuracy. You can also add custom terms to improve detection for your specific use case.

Question 9

Can I download the cleaned text?

Accepted Answer

Yes! After cleaning your text, you can either copy the cleaned text to your clipboard using the "Copy" button, or download it as a .txt file using the "Download" button. The downloaded file will contain only the cleaned text with all personal data removed and replaced with placeholders like [NAME], [E-MAIL], etc.

Question 10

Does the tool work offline without internet connection?

Accepted Answer

Yes! Once the page is loaded, the GDPR Text Cleaner works completely offline. All processing happens in your browser using JavaScript, with no internet connection required. This makes it perfect for handling sensitive data that should never leave your device or for use in air-gapped environments.

Question 11

What data formats and file types are supported?

Accepted Answer

The tool works with plain text input. You can paste text from any source (emails, documents, spreadsheets, PDFs, etc.) into the input field. For best results, copy and paste the text content rather than uploading files. The tool preserves line breaks and formatting while removing personal data.

Question 12

How is this tool different from other data anonymization tools?

Accepted Answer

Our GDPR Text Cleaner is unique because: 1) 100% local processing with zero server communication, 2) No registration or account required, 3) Completely free with no limitations, 4) Customizable detection rules, 5) Real-time processing with instant results, 6) Support for custom names and terms, 7) Mobile-friendly responsive design, and 8) Open and transparent about privacy protection.

Question 13

Can I use this tool for processing customer data and support tickets?

Accepted Answer

Yes! The GDPR Text Cleaner is perfect for sanitizing customer support tickets, email threads, chat logs, and other customer communications before sharing or archiving. Since all processing is local, you can safely clean sensitive customer data without risking data breaches or GDPR violations.

Question 14

Does the tool detect credit card numbers and payment information?

Accepted Answer

Yes, the tool can detect and remove credit card numbers using pattern matching for major card types (Visa, MasterCard, American Express, etc.). You can enable or disable credit card detection in the Settings tab. Remember that this is pattern-based detection, so always review the results for accuracy.

Question 15

Is there a limit to how much text I can clean at once?

Accepted Answer

There is no hard limit on text length. The tool can handle large amounts of text, processing everything locally in your browser. However, very large texts (100,000+ characters) may take longer to process depending on your device performance. The character count is displayed in real-time as you type.

Question 16

Can I use this tool for HR documents and employee data?

Accepted Answer

Absolutely! The GDPR Text Cleaner is ideal for HR departments to anonymize employee records, performance reviews, salary data, and other sensitive HR documents before sharing for training, analysis, or archival purposes. All processing is local, ensuring complete privacy for employee data.

Question 17

How do I know which data was detected and replaced?

Accepted Answer

After processing, the tool shows a detailed list of all detected personal data items below the cleaned text. Each item displays its type (email, phone, name, etc.) and what it was replaced with (e.g., [E-MAIL], [TELEFON]). You can toggle "Show Original" to compare the original and cleaned versions side by side.

Question 18

Can I use this tool on mobile devices and tablets?

Accepted Answer

Yes! The GDPR Text Cleaner is fully responsive and optimized for mobile devices and tablets. The interface adapts to smaller screens while maintaining full functionality. You can clean personal data on-the-go from your smartphone or tablet with the same security and privacy as on desktop.

GDPR Text Cleaner

Original Text

How to Clean Text for GDPR Compliance

Enter Your Text

Configure Detection Rules

Add Custom Names (Optional)

Review & Download

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