Skip to main content

Extract Text from HTML

Sanitize HTML structures by stripping tags and scripts. Recursive processing ensures clean text normalization for NLP or data scraping. Map raw code.

1
2

Please configure parameters and execute the action.

About Extract Text from HTML


Extract Text from HTML is a fast HTML text extractor that pulls tag content from HTML code and removes markup. Use it to clean pasted snippets, inspect page copy, and convert HTML blocks into plain readable text.

How It Works


Use the tool in three simple steps:

  • Paste HTML code - Add the HTML source you want to process.
  • Click Extract - The tool parses tags and keeps text content only.
  • Copy result - Copy clean plain text from the result area.

Basic Examples


  • Nested tags
    Input:
    <div><h1>Title</h1><p>Hello <strong>world</strong>.</p></div>
    
    Output:
    Title
    Hello
    world
    .
  • Links and lists
    Input:
    <ul><li>Apple</li><li><a href='#'>Banana</a></li></ul>
    
    Output:
    Apple
    Banana
  • Ignore script/style
    Input:
    <style>.x{color:red}</style><p>Visible text</p><script>alert(1)</script>
    
    Output:
    Visible text

Real-World Usage Scenarios


  • Content Migration - CMS Cleaning - Clean exports from CMS platforms like WordPress, Shopify, or Webflow by stripping away layout tags. This allows content managers to move raw text into documentation tools or new systems without carrying over legacy formatting.
  • SEO Analysis - On-Page Audits - Extract visible page copy to perform accurate word count checks and keyword density analysis. Removing the technical markup ensures that SEO specialists see exactly what search engine crawlers and users see.
  • AI Dataset Preparation - LLM Training - Prepare clean text datasets for Large Language Models by removing noisy HTML boilerplate. This ensures that training scripts receive only the core semantic content from web-scraped sources.
  • Legal Review - Terms and Conditions - Convert HTML-formatted legal notices, Privacy Policies, or Terms of Service into plain text. This simplifies the review process for legal teams who need to run comparisons or highlight specific clauses in a readable format.

Frequently Asked Questions


Does the tool ignore CSS and JavaScript code?

Yes. The extractor identifies and removes all content within <style> and <script> tags, ensuring that styling rules and functional scripts are not included in your plain text result.

How are line breaks handled in the extracted text?

By enabling the 'Line Breaking' option, the tool converts <br> tags and block-level elements (like <div> or <p>) into actual line breaks to maintain the document's original readability.

Can it process deeply nested HTML structures?

The parser is designed to handle complex nesting. It recursively strips all tags while preserving the order of the text content contained within the hierarchy.

Is my HTML source code sent to a server?

No. The extraction process runs locally in your web browser. Your data is never uploaded or stored on any remote server, maintaining full privacy for your source code.

Text Tools
Other tools you might like
Write Text in Cursive
Map Latin characters to Unicode cursive glyphs. The logic handles Mathematical Alphanumeric exceptions to ensure cross-platform compatibility and parsing.
Visualize Text Structure
Parse string architecture into vector graphics. Map tokens, whitespace, and punctuation to distinct hex layers. Export precise SVG schematics for analysis.
Unwrap Text Lines
Parse and sanitize string buffers by mapping hard breaks to custom separators. Employs paragraph-aware logic to maintain semantic data integrity.
Undo Zalgo Text Effect
Parse corrupted strings to strip non-spacing marks. Normalize Unicode input by removing recursive combining characters. Restore data integrity now.
Sort Symbols in Text
Parse and normalize character sequences via Unicode point values. Sanitize strings using skip lists, case logic, and duplicate removal for clean datasets.
Rotate Text
Shift characters cyclically across strings. Map offsets to reformat multiline structures with line-by-line logic. Normalize text for data schemas.
ROT47 Text
Shift printable ASCII characters by 47 positions to obfuscate sensitive strings. Implement symmetric mapping for range 33-126 to ensure data integrity.
ROT13 Text
Parse and shift alphabetic characters 13 positions. Maintain case sensitivity and non-letter integrity for spoiler protection or data obfuscation.
Rewrite Text
Sanitize datasets with custom mapping and whole-word logic. Apply recursive double-pass processing to clean whitespace. Normalize your data structure.
Replace Words with Digits
Normalize datasets by mapping verbal numbers to digits. Sanitize text with case-sensitive matching and whole-word logic for secure data ingestion.
Replace Text Vowels
Map specific vowel patterns using custom substitution logic. Supports case-sensitive matching and secondary passes to sanitize or obfuscate string data.
Replace Text Spaces
Normalize datasets by converting tabs, newlines, and spaces into custom symbols. Collapse whitespace clusters to ensure strict character counts.
Replace Text Letters
Normalize strings using custom character rules. Execute case-sensitive matching and recursive replacement passes to ensure data integrity. Export clean results.
Replace Text Consonants
Map consonants to custom characters using iterative substitution rules. Sanitize strings with case-sensitive precision for technical datasets and linguistics.
Replace Line Breaks in Text
Sanitize raw data by mapping CRLF sequences to custom delimiters. Collapse repeated breaks and trim whitespace to ensure valid dataset parsing.
Replace Digits with Words
Map numeric sequences to cardinal words. Parse standalone digits or specific patterns. Optimized for TTS data prep and document sanitization logic.
Replace Commas in Text
Parse and reformat datasets by mapping commas to custom symbols. Logic-aware processing preserves numeric separators while collapsing redundant clusters.
Remove Text Letters
Parse raw strings to eliminate specific character sets. This utility handles case-sensitive matching and collapses redundant whitespace for clean datasets.
Remove Text Font
Sanitize stylized Unicode glyphs into standard Latin script. Parse decorative fonts for screen reader accessibility and database safety [UTF-8].
Remove Quotes from Words
Strip leading and trailing quotation marks from individual words. Recursive logic handles nested delimiters in SQL, JSON, and CSV datasets efficiently.