Remove contact data

Remove Personal Data from Text: Emails, Phone Numbers & More

With our Remove Contact Data tool you can easily clear any text of email addresses and phone numbers. Paste your content, choose what to remove, and instantly get a cleaned version. Everything runs 100 % locally in your browser: your content is never sent to a server or stored anywhere. That is exactly what you want before sharing, publishing or forwarding documents.

You can also switch on "AI-enhanced": a small language model that runs in your browser additionally detects names, addresses, IBAN, credit cards, passport and tax numbers, IP addresses and URLs in 27 languages. Matches can be removed or pseudonymized as placeholders (such as [NAME_1], [EMAIL_1]). It works 100 % locally, loads only on first use and is then cached in your browser. Your text never leaves your device.

How it works

Paste the text to clean into the input field. Then choose whether to remove email addresses, phone numbers or both, and set an optional replacement so the structure of your text stays readable. After one click you get the cleaned version together with a summary of how many emails and phone numbers were removed. The tool detects the relevant entries through smart pattern recognition.

A worked example: From the sentence "For questions, contact max.mustermann@example.de or call 0421-123456." the tool removes both max.mustermann@example.de and 0421-123456. With a placeholder it instead returns "For questions, contact [removed] or call [removed].", keeping the sentence readable while clearly marking where sensitive details used to be.

Typical use cases

• Sharing documents: clean CVs, contracts or client files before sending them on
• Publishing: strip contact details from text before it goes online
• Privacy: remove personal contact information from notes and internal documents
• Data preparation: anonymize lists and text for further processing
• Screenshots & exports: prepare text for screenshots or submissions without exposing private contact channels

Technical specifics of free text

Unlike structured formats, free text is unpredictable. Our tool accounts for the typical quirks of German and international content:

• German phone formats: Detected are formats with and without area code, with and without brackets, national notations (030/123456, (0)30 123456) and international codes (+49, 0049).
• Umlaut-safe email detection: German domains and names with umlauts are detected correctly, without the pattern recognition failing on special characters.
• Addresses across line breaks: An email address or phone number can be split across a line break; such breaks are joined and detected.
• False positives: Order numbers, postal codes or other longer digit sequences can look like phone numbers. Detection is deliberately broad, so always review the result.

Important: always review the result yourself

Detection works through pattern recognition, not by checking every single case. The tool handles the most common formats of German and international emails and phone numbers very well, but unusual formats may be missed, and a random run of digits (such as a postal code) can rarely be misread as a phone number. Please review the result yourself before using it in sensitive documents or publishing it in public places. This tool helps reduce contact data but does not replace careful checking or a full anonymization of the document.

Frequently asked questions

You can also remove contact data from structured formats: just pick the right format above (text, HTML, CSV, JSON, XML, Word or Excel). Everything runs in the same tool and 100 % locally in your browser.