Find and List All Hashtags in Your Text Extract all #hashtags from text and list unique results.
Hashtag Extractor
Extract all #hashtags from text and list unique results.
Paste Text
Paste text containing hashtags.
Review Extracted Hashtags
All hashtags are found and listed uniquely.
Copy Results
Copy the extracted hashtags list.
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?
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Extract hashtags from social media posts and content
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Supports international characters in hashtags
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Automatic deduplication of results
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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
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1Supports hashtags with accented characters (like #café)
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2Duplicate hashtags are automatically removed
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3Works with hashtags from any social media platform
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4The count shows unique hashtags found
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📝 Text ToolsFrequently Asked Questions
Q What characters are allowed in hashtags?
Q Is hashtag extraction case-sensitive?
Q Does it find hashtags in all languages?
Q Does the extractor remove duplicate hashtags?
Q Can I extract hashtags from HTML?
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.