Other Tools
HTML Tag Remover
Strip HTML tags, scripts, and inline styles to get clean plain text
Tool Overview: HTML Tag Remover
Need a quick way to turn messy HTML into plain text? The HTML Tag Remover cleans pasted markup, deletes script/style blocks, and keeps readable paragraphs so you can reuse the content in docs, tickets, newsletters, or AI prompts.
What Is HTML Tag Remover?
HTML Tag Remover cleans and transforms text quickly for reuse.
How to Use
- Paste the text to process.
- Select the required options.
- Copy the processed result.
Common Use Cases
- Clean logs and config text
- Preprocess content before editing
- Batch text cleanup
❓ FAQ
Q1: Need to keep spaces?
A: Adjust the options to preserve whitespace.
Q2: Large input is slow?
A: Split into smaller parts.
Q3: How to export?
A: Copy the output directly.
✂️ What it does
- 🧹 Removes markup, inline styles, scripts, and comments in one pass
- 📏 Optionally keeps line breaks for block elements such as
<p>,<li>or headings - 🔤 Decodes HTML entities (
&, , etc.) to normal characters for easier editing - 📋 Output stays on your device, so sensitive snippets never leave the browser
🧭 How to use it
- Paste the HTML fragment, WYSIWYG export, or email source into the HTML Input textarea.
- Toggle Preserve block-level line breaks when you want paragraphs and lists to remain separated.
- Enable Decode HTML entities if you need characters such as
<converted back to<. - Click Clean HTML or edit the input—the result updates automatically.
- Copy or download the plain text output for your next workflow.
📌 Example
Input
<article>
<h2>Weekly Update</h2>
<p><strong>Status:</strong> &lt;ready&gt; for launch.</p>
<ul>
<li>Removed legacy styles</li>
<li>Added accessibility copy</li>
</ul>
</article>
Output
Weekly Update
Status: <ready> for launch.
Removed legacy styles
Added accessibility copy
💡 Tips
- Keep line breaks on when preparing text for documentation or customer communications.
- Disable line breaks to condense HTML into single-line copy for spreadsheets or logging systems.
- Decode HTML entities before feeding the content into large language models so prompts stay human-readable.