Free Toolkit

Mention ExtractorExtract all @mentions from text and list unique results.

Mention Extractor illustration
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Mention Extractor

Extract all @mentions from text and list unique results.

How to Use
1

Paste Text

Paste text containing @mentions.

2

Auto-Extract

All @mentions are found and listed uniquely.

3

Copy Results

Copy the extracted mentions list.

What Is Mention Extractor?

The Mention Extractor scans text and finds all @mentions (words starting with @). It supports mentions with letters, numbers, and underscores following the conventions of major social media platforms. Duplicate mentions are removed, and results are presented as a clean list. This is useful for analyzing social media content, finding referenced users, or collecting mentions for engagement tracking.

Why Use Our Mention Extractor?

  • Extract @mentions from social media posts
  • Automatic deduplication of results
  • Follows standard social media mention format
  • Quick identification of referenced users

Common Use Cases

Social Media Analysis

Extract mentions to analyze user engagement and interactions.

Influencer Research

Find frequently mentioned accounts in content.

Community Management

Track mentions of your brand or team members.

Content Analysis

Identify key people referenced in articles or posts.

Technical Guide

The extractor uses the regex /@[a-zA-Z0-9_]+/g which matches the @ symbol followed by one or more word characters (letters, digits, underscores). This follows the username conventions of major platforms like Twitter/X, Instagram, and GitHub. After extraction, JavaScript Set is used for deduplication while preserving order of first appearance. The total count of unique mentions is displayed.

Tips & Best Practices

  • 1
    Follows standard social media username character rules
  • 2
    Duplicate mentions are automatically removed
  • 3
    Email addresses may produce false positives — the part after @ may be extracted
  • 4
    Works with mentions from any platform using @username format

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Frequently Asked Questions

QWhat characters are allowed in mentions?
Letters, numbers, and underscores — following standard social media username conventions.
QWill it extract the @ from email addresses?
It may match the domain part of emails. For email-specific extraction, use the Email Extractor.
QAre mentions case-sensitive?
The extraction preserves original case. @User and @user are treated as different mentions.
QAre duplicates removed?
Yes, each unique mention appears only once in the output.
QWhich platforms use @mentions?
Twitter/X, Instagram, GitHub, Mastodon, Reddit, and many others use the @username format.

About Mention Extractor

Mention Extractor is a free online tool from FreeToolkit.ai. All processing happens directly in your browser — your data never leaves your device. No registration required. No ads. Just fast, reliable tools.