HTML Tag Stripper (HTML标签清除)

Remove HTML tags from code and extract clean text content

This tool provides multiple modes for processing HTML:

Modes:

strip: Simply removes all HTML tags, leaving only text content
extract: Extracts text content while preserving readability
clean: Removes tags plus scripts, styles, and comments

Features:

Handles self-closing tags (br, img, input, etc.)
Decodes HTML entities ( , <, >, &, etc.)
Preserves structural formatting (optional)
Removes extra blank lines
Provides detailed statistics about tags removed

Key Facts

Category: Text Processing
Input Types: textarea, select, checkbox
Output Type: json
Sample Coverage: 4
API Ready: Yes

Overview

The HTML Tag Stripper is a utility tool that removes HTML tags from code to extract clean text content. It offers multiple processing modes and configurable options to handle various HTML elements and entities efficiently.

When to Use

•When you need to extract plain text from HTML for content analysis, SEO, or data processing.
•When cleaning up HTML code to remove scripts, styles, and comments for a simplified output.
•When preparing HTML data for text-based applications like machine learning or archiving.

How It Works

•Paste your HTML code into the input textarea.
•Select a processing mode: strip for basic tag removal, extract for readable text, or clean for comprehensive cleaning including scripts and styles.
•Adjust options such as removing empty lines, decoding HTML entities, or preserving structure.
•Process the input to receive the cleaned text output along with statistics on removed tags.

Use Cases

Extracting article text from HTML for content management or SEO analysis.

Cleaning HTML emails to obtain plain text for archiving or compliance purposes.

Preparing web-scraped data for natural language processing or text mining tasks.

Examples

1. Extracting Blog Content for SEO Analysis

SEO Specialist

Background: An SEO specialist needs to analyze the text content of a competitor's blog post without HTML markup for keyword research.
Problem: The HTML code contains tags, scripts, and styles that obscure the actual text content.
How to Use: Paste the blog post's HTML into the tool, select 'extract' mode, and enable 'decode entities' to get clean, readable text.
Example Config: {"mode": "extract", "decodeEntities": true, "removeEmptyLines": true}
Outcome: Clean text is extracted, ready for keyword analysis and content evaluation without HTML interference.

2. Cleaning HTML Data for Text Mining

Data Analyst

Background: A data analyst has a dataset with HTML-formatted descriptions that need to be cleaned for text mining and analysis.
Problem: HTML tags and entities are present, making the text unsuitable for accurate processing.
How to Use: Paste the HTML data into the tool, choose 'clean' mode to remove tags, scripts, and styles, and process with empty line removal.
Example Config: {"mode": "clean", "removeEmptyLines": true, "preserveStructure": false}
Outcome: Pure text content is obtained, free from HTML elements, facilitating reliable text analysis and model training.

Try with Samples

html, video, text

HTML with Images Samples

HTML source code samples with images for testing extraction

title token html

text

Docker Image Tag Samples

Collection of Docker image references with various registries, repositories, tags, and digests

title token tag

text

Text with Emoji Samples

Mixed language text containing various Unicode emojis for testing emoji extraction

matched family video,text

video, text

Duplicate Line Samples

Sample files with various types of duplicate lines for testing duplicate removal tools

matched family video,text

video, text

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FAQ

What is the difference between strip and extract modes?

Strip mode removes all HTML tags, leaving only raw text, while extract mode preserves readability by maintaining some structural formatting.

Can this tool handle self-closing tags like <br> or <img>?

Yes, it automatically processes self-closing tags such as br, img, and input without issues.

Does it decode HTML entities like   or <?

Yes, when the 'Decode HTML Entities' option is enabled, it converts entities to their corresponding characters.

How can I preserve the structure of the extracted text?

Enable the 'Preserve Structure' option to maintain formatting elements like line breaks and paragraphs in the output.

What statistics are provided after processing?

The tool provides details on the number of tags removed and other processing metrics for transparency.

API Documentation

Request Endpoint

POST /en/api/tools/new-html-tag-stripper

Request Parameters

Parameter Name	Type	Required	Description
html	textarea	Yes	-
mode	select	No	-
removeEmptyLines	checkbox	No	-
decodeEntities	checkbox	No	-
preserveStructure	checkbox	No	-

Response Format

{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}

JSON Data: JSON Data

AI MCP Documentation

Add this tool to your MCP server configuration:

{
  "mcpServers": {
    "elysiatools-new-html-tag-stripper": {
      "name": "new-html-tag-stripper",
      "description": "Remove HTML tags from code and extract clean text content",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=new-html-tag-stripper",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]

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