I built a deep research tool for local file system
I was experimenting with building a local dataset generator with deep research workflow a while back and that got me thinking. what if the same workflow could run on my own files instead of the internet. being able to query pdfs, docs or notes and get back a structured report sounded useful. so I made a small terminal tool that does exactly that. I point it to local files like pdf, docx, txt or jpg. it extracts the text, splits it into chunks, runs semantic search, builds a structure from my query, and then writes out a markdown report section by section. it feels like having a lightweight…
In plain words
This is a terminal tool that transforms local files into structured research reports. Users point it at PDFs, documents, images, or text files, and the tool extracts content, performs semantic search, and generates markdown reports organized by topic. It works on papers, long reports, and scanned documents. Designed for researchers and knowledge workers who need to quickly analyze and synthesize information from their own file collections without relying on internet-based services.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I was experimenting with building a local dataset generator with deep research workflow a while back and that got me thinking. what if the same workflow could run on my own files instead of the internet. being able to query pdfs, docs or notes and get back a structured report sounded useful. so I made a small terminal tool that does exactly that. I point it to local files like pdf, docx, txt or jpg. it extracts the text, splits it into chunks, runs semantic search, builds a structure from my query, and then writes out a markdown report section by section. it feels like having a lightweight research assistant for my local file system. I have been trying it on papers, long reports and even scanned files and it already works better than I expected. repo - https://github.com/Datalore-ai/deepdoc Currently citations are not implemented yet since this version was mainly to test the concept, I will be adding them soon and expand it further if you guys find it interesting.
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