I just open sourced my document/website extractor for Vision-LLMs

In plain words

This is an open-source document and website extractor designed for vision-based language models. It extracts unstructured data from PDFs, Word documents, PowerPoint files, and websites to prepare them for use with LLMs. The tool supports multimodal processing and aims to provide better context handling for complex documents compared to existing paid alternatives. It is intended for developers and organizations working with document processing and language models who need a free, customizable solution available on GitHub.

written from the facts on this page · September 2026

From the sources

Get clean data from tricky documents, powered by vision-language models ⚡ - emcf/thepipe

In the maker’s words, at launch

Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to…

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