data

HTML
Text
Converter

Extract clean, readable text from HTML pages by stripping tags, scripts, and styles while preserving semantic structure. Handles navigation removal, boilerplate detection, and main content extraction.

Max file size: 50 MB

Estimated: 1-3 sec per page

3 input formats

How It Works

Provide a URL or upload an HTML file.

Scripts, styles, navigation, and boilerplate elements are removed.

Main content is identified using readability heuristics.

Semantic structure (headings, paragraphs, lists) is preserved as plain text.

Clean text is returned with optional metadata extraction.

Code Examples

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

result = client.convert(
    source="https://example.com/blog-post",
    from_format="html",
    to_format="text",
    options={
        "remove_boilerplate": True,
        "css_selector": "article",
        "extract_metadata": True
    }
)

print(result.text)
print(result.metadata)

Use Cases

Extract article text from news websites

Clean web scraping output for NLP pipelines

Build text datasets from web crawl data

Prepare web content for embedding and indexing

Supported Input Formats

HTML

XHTML

MHTML

Quick Info

Categorydata

Max File Size50 MB

Est. Time1-3 sec per page

Extractorweb-scraper

Try This Conversion

Get started with the Mixpeek API and convert your first file in minutes.

Frequently Asked Questions

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