Remove HTML Tags
Strip all HTML tags from your text instantly while preserving the content. Perfect for cleaning web content, emails, and formatted documents.
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Why Remove HTML Tags from Text?
Our free HTML tag remover instantly strips all HTML markup from web content, emails, and documents, leaving only clean, readable plain text. When copying content from websites, CMS platforms, or HTML emails, hidden formatting tags clutter your text with code like div, span, p, strong, and br tags that make the content unusable for documents, spreadsheets, or data analysis. SEO professionals use this tool to extract pure content for keyword density analysis without markup interference, while content writers rely on it to clean web-scraped articles for republishing without formatting artifacts.
Working with HTML in code? Learn more about removing HTML tags from strings for programming and data processing tasks.
HTML entities like ampersand, less-than, greater-than, and non-breaking spaces add further complexity to copied web content. Our tool not only removes tags but also decodes these entities back to their actual characters, ensuring completely clean output. The optional line break conversion feature intelligently converts br and p tags into actual line breaks before stripping HTML, preserving paragraph structure and readability. Developers use this for web scraping workflows, marketers use it to extract email campaign content for A/B testing, and researchers use it to clean HTML datasets for natural language processing and text mining.
Common Use Cases
🌐 Web Scraping & Content Extraction
When scraping websites for product descriptions, news articles, or competitor analysis, the extracted HTML contains formatting tags, script elements, and style attributes that must be removed to get clean text. Web scraping tools often return HTML source code that needs conversion to plain text for database storage, spreadsheet analysis, or machine learning training data without markup noise.
After stripping HTML, use Remove Empty Lines to compact output, then Trim Lines to clean whitespace artifacts.
📧 Email Content Cleanup & Analysis
HTML emails from newsletters, marketing campaigns, or customer support tickets contain complex formatting with nested tables, inline styles, and tracking pixels. Extracting plain text from these emails is essential for sentiment analysis, customer feedback processing, support ticket categorization, or archiving email content in text-only databases without the overhead of HTML storage.
Clean email HTML first, then use Remove Line Breaks for continuous text and Word Counter to analyze content length.
📝 CMS & Blog Content Migration
When migrating content between platforms like WordPress, Shopify, Medium, or custom CMS systems, HTML exports contain platform-specific tags, shortcodes, and CSS classes that don't translate cleanly. Stripping HTML provides clean text that can be reformatted for the new platform without carrying over incompatible markup, broken styles, or legacy formatting that causes display issues.
After HTML removal, use Find & Replace to convert remaining patterns, then Remove Duplicates for content deduplication.
📊 SEO & Text Analysis
SEO professionals need to analyze page content for keyword density, readability scores, and competitor content comparison without HTML tags skewing the analysis. Content optimization tools and plagiarism checkers require pure text input where HTML elements would interfere with word counts, sentence structure analysis, or duplicate content detection algorithms used for ranking optimization.
For SEO analysis, combine with Text Statistics for readability metrics, then Character Counter for meta description optimization.
How HTML Tag Removal Works
Our HTML stripping algorithm uses regular expressions to identify and remove all HTML tags enclosed in angle brackets, including standard tags like div, span, p, strong, and complex tags with attributes like class, id, or inline styles. Before removing tags, the optional line break conversion feature detects br and p tags and converts them into actual line breaks, preserving paragraph structure and text flow. This ensures your content remains readable rather than becoming one continuous block of text.
After tag removal, the HTML entity decoder processes special character codes like ampersand for ampersand, less-than for less-than, greater-than for greater-than, quotation mark for quote, and non-breaking space for space. The decoder uses the browser's native DOMParser for safe, accurate entity conversion without security risks from executing malicious code. This handles all standard HTML entities plus numeric character references for Unicode symbols.
The final cleanup phase removes excessive consecutive line breaks (more than two), trims whitespace from each line, and removes leading/trailing spaces from the overall output. All processing happens client-side in your browser with debounced input handling for smooth performance even with large HTML documents. No server upload occurs, ensuring complete privacy for confidential content, proprietary data, or sensitive email communications. The tool handles HTML documents of any size, from small email snippets to entire web page source code.
Tips for Best Results
- 1.For web scraping and content extraction, enable both "Convert line breaks" and "Decode HTML entities" to get the cleanest possible output that maintains readability. Follow up with Remove Empty Lines to compact spacing.
- 2.When processing HTML emails, enable line break conversion to preserve message structure. After stripping HTML, use Trim Lines to remove excessive indentation and Word Counter for content analysis.
- 3.For SEO content analysis, strip HTML tags first to get pure text, then use Text Statistics to calculate readability scores and Character Counter to verify meta description lengths without markup interference.
- 4.Check the tag removal counter to verify all markup was detected and removed. If the count seems low for complex HTML, ensure you pasted the complete HTML source including all opening and closing tags rather than just rendered text.