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opendatalab / MinerU-HTML

MinerU-HTML: An SLM-powered HTML main content extractor that outputs clean HTML bodies. Perfect for Deep Research Agents, RAG applications, and training data generation.

Why this job: works in the areas we cover, but does not say which job it does

What it does

  • LLM-Powered Extraction. Uses state-of-the-art language models to intelligently identify main content
  • Extensible Output. Integrated with MinerU-Webkit to support efficient conversion of extracted HTML into Markdown, JSON and Txt.
  • Compact Format. Now use compact format for the model instead of the original JSON format for faster inference speed
  • Regex structured output. Now use regex structured output for the model instead of the custom logits processor, so we can use vLLM v1 backend for inference.
  • Complete Processing Pipeline. Includes HTML simplification, prompt construction, LLM inference, result parsing, main content extraction, and other complete processes

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 3 days ago
Stars
300
+2 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest tag
v1.1.3-qwen
Released 3 days ago
Built with
Python
99% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
96% closed
1 still open
Pull requests
9 merged
1 waiting
Releases
3
3 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct
More: languages, topics and project record

Languages

  • Python 99%
  • Shell 1%

Topics

  • article-extractor
  • corpus-tools
  • nlp
  • rag
  • scraping
  • text-extraction
  • trafilatura
  • web-scraping
  • webagent

Project record

  • JobOther AI tools
  • StatusListed
  • Commits20
  • Forks28
  • Watching5
  • Stars in 28 days+7
  • CreatedNov 26, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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