emmetify/emmetify-py
Cut LLM costs and boost processing speed by transforming bulky HTML into compact Emmet notation
This helps you reduce the cost and speed up the processing of web page content when working with large language models (LLMs). It takes standard HTML as input and converts it into a much more compact Emmet notation. This is ideal for anyone using LLMs for web scraping, automation, or content analysis who needs to maintain the original structure of web pages.
153 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are feeding HTML documents to an LLM and want to drastically cut token usage and processing time while preserving the original web page structure for accurate element targeting.
Not ideal if you primarily need to summarize or extract text content from web pages without needing to maintain the detailed structural integrity of the HTML.
Stars
153
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 19, 2025
Commits (30d)
0
Dependencies
3
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