Introducing FileMind: Evidence-Based Paper Organization

After too many years of searching for papers named download (3).pdf, we built FileMind.

The problem

Your research library is probably a mess. PDFs with names like paper_final_v2(3).pdf, spread across Downloads, Desktop, and three different “Papers” folders. You know you have a paper on attention mechanisms somewhere, but finding it takes longer than re-downloading it.

This isn’t a discipline problem. It’s a tooling problem.

What FileMind does

FileMind scans your entire PDF library, extracts structured bibliographic metadata from each paper, and proposes a clean rename for every file. Every proposal is backed by evidence — the exact page and text snippet that proves the metadata is correct.

You review, approve, and apply. Or just let high-confidence proposals go through automatically.

Then you search. Full-text, semantic, or hybrid. Ask questions about your library and get answers with page-level citations.

Why local-first

Your research data is yours. FileMind runs entirely on your machine — no cloud, no account, no data collection. The AI model runs locally via Ollama. Everything lives in a single SQLite file you can back up, move, or query directly.

Try it

Download the free trial — full access for up to 50 PDFs, no time limit, no account required.