Remove HTML Tags
Strip all HTML tags from your code and extract plain text instantly. Paste your HTML and get clean, tag-free text in one click.
Strip Tags and Keep Only the Text
HTML tags wrap content with instructions for the browser, but when you need the raw text inside that markup, all those angle brackets and attribute strings get in the way. This tool strips every tag from your HTML and returns only the readable characters, leaving nothing but the words and numbers your readers actually see. Whether you are processing scraped web data, cleaning CMS exports, or extracting text from email templates, removing HTML tags is often the first step before any further text processing can happen.
Remove HTML Tags
Removing HTML tags means stripping every element from opening angle bracket to closing angle bracket, including the tag name, all attributes, and any values those attributes carry. A paragraph tag like <p class="intro" style="color:red"> becomes nothing after stripping. The text that was between the opening and closing tag is preserved. This tool handles both well-formed HTML from modern websites and messy markup from legacy systems or copy-pasted content. For broader HTML conversion needs, the HTML to text converter also supports converting plain text back into HTML markup. If you want to reduce HTML file size without stripping content, use the HTML compressor to minify whitespace and comments instead.
What Gets Removed
The tag stripper removes all standard HTML elements: block-level tags such as <div>, <p>, <section>, and <article>; inline elements like <span>, <a>, <strong>, and <em>; media tags like <img> and <video>; and structural tags like <head>, <style>, and <script>. Self-closing tags such as <br /> and <hr /> are also stripped. If you want to keep line breaks from <br> and </p> elements, check the corresponding option before running the tool.
Decode Entities and Preserve Line Breaks
Raw HTML often contains encoded characters that browsers display as readable text but that tools and databases store as sequences like & or . After stripping tags, these entity sequences remain in the output unless you also decode them. This tool includes optional entity decoding so the result is fully human-readable text, not a mix of plain words and encoded fragments. You can also control whether whitespace from block-level elements is preserved as actual line breaks in the output.
How to Remove HTML Tags in 5 Steps
Paste Your HTML
Copy HTML source from any location — a web page, CMS export, email template, API response, or text editor — and paste it into the textarea.
Choose Removal Options
Check "Remove all HTML tags" to strip all markup. Enable "Keep line breaks" to convert <br> and </p> tags into newlines. Enable "Decode HTML entities" to convert & and < to their real characters. Check "Inline styles only" to strip just style and class attributes without removing tag structure.
Click Remove Tags Now
The result appears instantly in the output area. The tool counts how many tags were removed and displays the tag-free plain text.
Review the Output
Read through the result to confirm the text is clean and complete. If you need line break cleanup, use the remove line breaks companion tool.
Copy and Use
Click Copy to put the result on your clipboard. Paste it into any application, database field, or document.
Removal Options
The four removal options let you control exactly what happens to your HTML. Remove all HTML tags is the core action and applies the regex pattern that matches everything between angle brackets. Keep line breaks from br and p tags converts those elements to newline characters before stripping, so paragraph structure is preserved in the output. Decode HTML entities runs a secondary pass that converts sequences like &, <, and into their actual characters. Remove inline styles only targets style="" and class="" attributes on all elements without removing the tags themselves, which is useful when you want to preserve the HTML structure but strip formatting. After stripping, you can use the remove line breaks tool to further clean up unwanted newlines in the result.
Extracting Content from Web Pages and Emails
Three common workflows depend on reliable HTML tag removal: extracting readable content from scraped web pages, cleaning text from CMS exports for use in other platforms, and preparing data pipelines that receive HTML-encoded content from APIs or database fields. Each scenario has slightly different requirements, but all of them start with the same step of stripping markup from the source HTML.
Extracting Text from Web Pages
Web pages are built with layers of HTML: navigation wrappers, header and footer structures, script blocks, style sheets, and the actual content elements. When you copy the page source and need to read the content, you have to strip all that surrounding structure. Paste the HTML source into this tool, enable entity decoding, and the result is the readable text that was presented to visitors. For best results when extracting content from a specific section, copy only the relevant portion of the source rather than the entire document. This avoids noise from navigation links, cookie banners, and footer text. Once the text is clean, the AI text analyzer can process it further for keywords, readability, and structure analysis.
Cleaning CMS Content
Content management systems often store posts and pages as HTML in the database. When migrating content between platforms, the destination system usually accepts plain text or its own markup format rather than the source system's HTML. Exporting from WordPress, Drupal, or a custom CMS gives you HTML-encoded content that needs to be stripped before import. This tool handles that stripping step quickly without requiring any code. For the reverse direction, where you need to generate HTML from plain text, the AI HTML generator can produce structured markup from a plain text description or outline.
Processing Scraped Data
Data pipelines that collect text from web sources frequently receive content that contains HTML entities and markup from the original page. Before storing that content in a database or passing it through a natural language processing pipeline, the HTML needs to be removed. This tool provides a fast, browser-side way to clean individual samples for testing and inspection. For bulk processing in code, the same logic applies: use a regex to strip angle-bracket sequences, then run entity decoding on the remaining text. Libraries like BeautifulSoup in Python and the DOMParser API in JavaScript implement the same approach programmatically.
Removing Inline Styles Without Touching Structure
Not every situation calls for removing all tags. Sometimes you have well-structured HTML with heading hierarchy, list markup, and semantic elements that you want to keep, but the inline styles and class names are cluttering the markup or conflicting with a new design system. The inline styles only option on this tool targets exactly those attributes, removing style="" and class="" from every element while leaving the tag structure completely intact.
Stripping All Tags
Stripping all tags uses a regex pattern that matches the opening angle bracket, any characters up to and including the closing angle bracket, and removes the entire sequence. This works correctly for well-formed HTML where attribute values do not contain unescaped angle brackets. The output is the concatenated text content of all nodes, with no markup remaining. Adjacent text nodes that were separated only by tags may run together without spaces, which is why the keep line breaks option exists to insert newlines at block boundaries before the stripping pass runs.
Keeping Line Breaks
HTML does not use newline characters to create visual line breaks. Instead, it uses block-level elements that the browser renders with spacing. When you strip all tags without any pre-processing, paragraphs and list items run together into one continuous block of text. The keep line breaks option solves this by converting <br> tags to single newlines and </p>, </div>, and heading closing tags to double newlines before the stripping pass. This preserves the paragraph structure of the original document in the plain text output.
Decoding HTML Entities
HTML entities are character sequences that represent characters with special meaning in HTML or characters that cannot be typed directly. Common entities include & for the ampersand character, < and > for angle brackets, for a non-breaking space, and " for a quotation mark. After tags are stripped, these sequences remain as literal text unless you also decode them. Enabling the decode entities option converts all named and numeric entities to their actual Unicode characters so the output reads naturally without any encoded fragments.
FAQ
Does it remove all tags?
Yes. When you select the "Remove all HTML tags" option, every element from opening to closing angle bracket is stripped from the input. This includes structural tags, inline elements, void elements, comments, script blocks, and style blocks. The only exception is when you use the inline styles only option, which removes just the style and class attributes rather than the full tags.
Does it decode entities like &?
Yes, when the decode HTML entities option is checked. The tool converts named entities such as &, <, >, , and ", as well as numeric decimal entities like © and hex entities like © to their actual Unicode characters.
Can I keep paragraph breaks?
Yes. Check "Keep line breaks from br and p tags" before clicking Remove Tags Now. The tool will convert <br> elements to single newlines and </p> closing tags to double newlines before stripping all other markup. This preserves the paragraph structure of the original HTML in the plain text output.
Does it remove inline CSS?
There are two ways to handle inline CSS. If you check "Remove all HTML tags", every tag including its style attribute is removed entirely, leaving no CSS at all. If you check "Remove only inline style and class attributes", the tool strips only the style="" and class="" attributes from elements while preserving the tag structure, which is useful for cleaning up HTML before applying a new stylesheet.
Is it safe for untrusted HTML?
The tag stripping runs entirely in your browser using JavaScript regex and does not execute any of the HTML you paste. Nothing is sent to a server. However, this tool is a text processor, not a sanitizer designed for security. If you are processing untrusted HTML before inserting it into a live web page, use a dedicated HTML sanitization library such as DOMPurify rather than a simple tag stripper.
What is strip html?
Strip html refers to the process of removing all HTML markup from a string of text, leaving only the raw character content without any tags, attributes, or formatting instructions. The term is used interchangeably with "remove html tags" and describes the same operation: a regex or parser pass that eliminates all content between and including angle brackets.
What is strip formatting?
Strip formatting is a broader term that includes removing HTML tags as well as other types of formatting such as rich text styles from Word documents, markdown syntax, BBCode, or inline CSS. In the context of HTML, strip formatting means removing all markup including style and class attributes so the result is unstyled, unformatted plain text.
What is html strip?
HTML strip is a shorthand phrase for stripping HTML from a string. It refers to the same operation as "strip html" and "remove html tags", describing a function or tool that takes an HTML string as input and returns plain text as output. Many programming languages have built-in functions or widely used libraries for html stripping, such as PHP's strip_tags(), Python's html.parser, and JavaScript's DOMParser.
What is html stripper?
An html stripper is a tool or function specifically designed to remove HTML tags from text. This page is an html stripper: it accepts HTML input, applies a tag removal algorithm, and returns plain text. The term is common in developer documentation and search queries when someone needs a quick way to remove markup without writing custom code. Online html strippers like this one are useful for one-off tasks, while programmatic html strippers are integrated into data pipelines and content processing systems.