html2text vs e2m

HTML-to-Markdown tools compared

html2text converts HTML into Markdown through a Python library or command-line tool, while e2m extracts content from documents, web pages, and audio. Their main difference is scope: html2text focuses on HTML conversion, and e2m offers configurable parsers and converters for varied sources.

html2texte2m
LanguagePythonJupyter Notebook
LicenseGPL-3.0Apache-2.0
Stars2.2k1.3k
Forks30176
Last analyzedOct 13, 2026Oct 3, 2026

Key differences

  • html2text converts HTML to Markdown-style text; e2m handles formats including PDFs, office documents, EPUBs, web pages, and audio.
  • html2text offers a Python API and command-line interface; e2m offers a Python library, an API service, and YAML-configured integrated parsers and converters.
  • html2text provides options for links and code blocks; e2m lets users select format-specific parser engines and configure text and image conversion.
  • The metadata lists html2text's language as Python and e2m's as Jupyter Notebook; e2m's README documents Python 3.10 and 3.11.
  • html2text identifies its license as GPL-3.0; e2m's metadata lists Apache-2.0 while its README states MIT, so its license should be verified.
  • html2text is marked Quiet, with no commits in the measured recent period and no release in over a year; e2m's listed use cases focus on RAG and model-training workflows.

Choose html2text if you…

  • need to convert HTML to readable Markdown with a Python API or command-line tool.
  • want control over whether links are included and how code blocks are marked.
Read the html2text analysis →

Choose e2m if you…

  • need to extract and convert content from multiple document formats, web pages, or audio.
  • want configurable parser engines and converters for RAG, training data, or other text workflows.
  • need a library interface, an API service, or YAML-based integrated configuration.
Read the e2m analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.