Text to Hashtags Generator
Automatically generate relevant hashtags from any text. Extract keywords with frequency analysis.
About this tool
The Text to Hashtags Generator is a tool designed to automatically extract relevant hashtags from any piece of text. Whether you're posting on social media, optimizing content for discovery, or organizing topics, this tool analyzes your input and identifies the most meaningful keywords to create hashtags that boost visibility and engagement.
Simply paste your text, and the generator scans for key terms using frequency analysis and relevance scoring. It highlights the most important words and phrases, then converts them into ready-to-use hashtags. You can customize the number of hashtags produced and review suggestions before applying them to your posts or content.
This tool is invaluable for content creators, social media managers, and marketers who want to maximize reach without manually brainstorming tags. It works with any language and text length, from short tweets to long-form articles, making it a versatile solution for anyone seeking to improve online discoverability.
Frequently Asked Questions
Code Implementation
import re
from collections import Counter
STOP_WORDS = {
"a","an","the","and","or","but","in","on","at","to","for","of","with",
"by","from","is","are","was","were","be","been","have","has","had",
"do","does","did","will","would","could","should","this","that","it",
"i","you","he","she","we","they","not","so","if","as","up","out",
"about","into","just","also","get","make","go","come","see","use"
}
def generate_hashtags(text, min_length=3, max_count=20, remove_stop=True):
words = re.findall(r"[a-z0-9']+", text.lower())
cleaned = [w.strip("'") for w in words if len(w.strip("'")) >= min_length]
if remove_stop:
cleaned = [w for w in cleaned if w not in STOP_WORDS]
freq = Counter(cleaned)
top = freq.most_common(max_count)
return [f"#{word}" for word, _ in top]
text = """Machine learning is transforming the software industry.
AI tools help developers write better code faster and improve productivity."""
hashtags = generate_hashtags(text)
print(" ".join(hashtags))Comments & Feedback
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