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Find and List All Hashtags in Your Text Extract all #hashtags from text and list unique results.

Hashtag Extractor illustration
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Hashtag Extractor

Extract all #hashtags from text and list unique results.

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Paste Text

Paste text containing hashtags.

2

Review Extracted Hashtags

All hashtags are found and listed uniquely.

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Copy Results

Copy the extracted hashtags list.

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What Is Hashtag Extractor?

A Hashtag Extractor is a software component designed to scan input text and identify all occurrences of hashtags, which are words starting with the # symbol. Social media managers and content analysts commonly use it to process large volumes of text from platforms like Twitter or Instagram, solving the specific problem of manually sifting through posts to find relevant tags. This task can be particularly challenging when dealing with a high volume of data, such as extracting hashtags from thousands of social media posts.

The tool uses a regular expression, specifically `/#[a-zA-Z0-9_\u00C0-\u024F]+/g`, to match and extract hashtags from the input text, supporting letters, numbers, underscores, and accented characters. What makes this implementation distinct is its ability to remove duplicate hashtags, ensuring that each extracted tag appears only once in the output list, which is then formatted with a total count of unique hashtags found. It also returns a message when no hashtags are detected in the input text.

It processes input strings using the `onProcess` function, which takes the text as an argument and applies the regex pattern to find all matching hashtags. If matches are found, it creates a set to eliminate duplicates and then joins the unique tags into a single string with each tag on a new line. This output can be used for social media hashtag analysis or simply to extract hashtags from text for categorization purposes, making it a useful component in a social media hashtag finder or as part of a larger text processing workflow.

Why Use Hashtag Extractor?

  • Extract hashtags from social media posts and content
  • Supports international characters in hashtags
  • Automatic deduplication of results
  • Quick analysis of hashtag usage

Common Use Cases

Social Media Analysis

Extract and analyze hashtags from social media posts.

Content Categorization

Pull hashtags for content tagging and categorization.

Trend Analysis

Collect hashtags from multiple posts to identify trends.

Marketing

Analyze competitor or industry hashtag usage.

Technical Guide

The extractor's core functionality relies on a regular expression, specifically `/#[a-zA-Z0-9_\u00C0-\u024F]+/g`, which is applied to the input string using JavaScript's `match` method. This regex pattern matches the # symbol followed by one or more alphanumeric characters, underscores, or accented Latin characters, covering a wide range of possible hashtag formats. The `g` flag at the end of the regex ensures that all occurrences in the string are matched, not just the first one. When applied to the input text, this pattern allows it to accurately identify and extract hashtags.

Under the hood, the tool uses React's `useCallback` hook to memoize the `onProcess` function, which prevents unnecessary re-renders of the component when the input text changes. The extracted hashtags are then stored in a JavaScript Set data structure, which automatically removes duplicates while preserving the order of first appearance. This is achieved by creating a new Set from the array of matched hashtags and then converting it back to an array using the spread operator (`[...new Set(matches)]`). Finally, the unique hashtags are joined into a single string with each tag on a new line using the `join` method.

The output format includes a total count of unique hashtags found, which is displayed in the output header. This count is calculated by checking the length of the `unique` array after deduplication. If no matches are found, it returns a message indicating that no hashtags were detected in the input text. The tool's layout and user interface are handled by the `TextToolLayout` component, which provides a standard template for text-based tools, including an input field with a placeholder and an output label.

Tips & Best Practices

  • 1
    Supports hashtags with accented characters (like #café)
  • 2
    Duplicate hashtags are automatically removed
  • 3
    Works with hashtags from any social media platform
  • 4
    The count shows unique hashtags found

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Frequently Asked Questions

Q What characters are allowed in hashtags?
Letters (including accented), numbers, and underscores. Hyphens and special characters end the hashtag.
Q Is hashtag extraction case-sensitive?
The extraction preserves original case. #Hello and #hello are treated as different hashtags.
Q Does it find hashtags in all languages?
It supports Latin-script hashtags including European accented characters. CJK and other scripts may not be fully captured.
Q Does the extractor remove duplicate hashtags?
Yes, each unique hashtag appears only once in the output.
Q Can I extract hashtags from HTML?
Yes, it searches the entire input text including within HTML tags and attributes.

About This Tool

Hashtag Extractor is a free online tool by FreeToolkit.ai. All processing happens directly in your browser — your data never leaves your device. No registration or installation required.