FileMind

Features

Everything you need to manage your research library

A complete local-first toolkit — scanning, extraction, renaming, search, Q&A, and export — with no cloud dependency and no data leaving your machine.

01

PDF Scanning & Ingestion

Point FileMind at any folder — or your entire hard drive — and it recursively indexes every PDF it finds. No manual imports, no drag-and-drop. It knows the difference between clean digital PDFs and scanned images, and routes each file appropriately.

  • Recursive folder scanning across nested directories
  • Native text extraction + OCR fallback for scanned PDFs
  • Text quality scoring — knows when OCR is needed
FileMind — Scan Progress Dashboard
Scan Progress Dashboard — FileMind app screenshot
02

Metadata Extraction

FileMind extracts structured bibliographic data from every paper — without making anything up. It chains deterministic methods first (DOI lookup, arXiv API), then heuristic parsing, and only calls a local LLM when both fail. Every field comes with a confidence score and the source snippet that proves it.

  • DOI and arXiv ID detection with live crossref/arxiv lookup
  • Heuristic title/author/year parsing from document structure
  • Optional LLM fallback for difficult papers — never invents data
  • Confidence scoring with evidence trails showing exactly what was parsed
FileMind — Paper Detail — Extracted Metadata

Paper Detail — Extracted Metadata

Title · Authors · Year · DOI · Journal · Abstract

03

Intelligent Renaming

Filenames become meaningful: Vaswani_2017_AttentionIsAllYouNeed.pdf. Every proposal is backed by extracted evidence — the exact page and text snippet that justified it. You approve or reject; FileMind never changes files without your confirmation.

  • Deterministic filename templates (Author_Year_Title.pdf)
  • LLM never generates filenames — only extracts structured metadata
  • Three confidence tiers: auto-approve high, queue medium/low for review
  • Collision detection and resolution for duplicate targets
FileMind — Rename Review Queue
Rename Review Queue — FileMind app screenshot
04

Journaled Operations

Every rename is recorded in a durable action journal before it happens. If your machine loses power mid-batch, FileMind recovers automatically. Any applied batch can be rolled back in a single click — your files are never at risk.

  • Every rename recorded in action journal before execution
  • Batch rollback — undo any applied batch instantly
  • Recovery from interrupted operations on next launch
  • "Your files are never at risk" — provable, not just a promise
FileMind — Action Journal

Action Journal

847 operations · 3 batches · 0 errors

06

Ask My Library

Ask a question in plain English and get an answer drawn from your own papers — with citations enforcing every claim. FileMind will not answer without a source. The local LLM runs entirely on your machine via Ollama; nothing leaves your computer.

  • Natural language Q&A over your entire local collection
  • Citation enforcement — every claim must cite a specific paper and page
  • Query rewriting and hybrid retrieval for better recall
  • Powered by local LLM (Ollama) — set up automatically on first run
FileMind — Ask My Library — Chat Interface
Ask My Library — Chat Interface — FileMind app screenshot
08

Export & Integration

FileMind works with every reference manager you already use. Push directly to Zotero with live two-way validation, or export BibTeX for LaTeX manuscripts, RIS for Mendeley and EndNote, or CSV for custom workflows. Your data is always yours.

  • Direct Zotero push — validate, browse collections, batch push
  • BibTeX, RIS, CSV export — compatible with Mendeley, EndNote, and others
  • Configurable confidence threshold to exclude uncertain records
  • Skipped records report with per-field reasons
FileMind — Export Dialog

Export Dialog

847 papers · Zotero · BibTeX · RIS · CSV

09

Guided First-Run Setup

Getting a local AI model running sounds daunting — FileMind makes it a five-minute wizard. It detects whether Ollama is installed, recommends a model based on your hardware, downloads it, and verifies everything works with a test query before you ever touch a PDF.

  • Step-by-step wizard for installing Ollama and downloading a model
  • Automatic detection — knows when Ollama is installed and ready
  • Recommended model based on your RAM and GPU
  • Test query verifies the whole stack before your first scan
FileMind — First-Run Setup Wizard
First-Run Setup Wizard — FileMind app screenshot
10

Privacy & Portability

FileMind is a local application. There is no server. Your PDFs, your extracted text, your questions and answers — none of it leaves your machine. The entire system lives in a single SQLite file you can inspect, copy, back up, or move at any time.

  • All processing runs on your machine — AI via Ollama, no cloud required
  • No data collection, no account, no telemetry
  • Single SQLite file — portable, backupable, queryable with any SQLite client
FileMind — Privacy — Local-Only Architecture

Privacy — Local-Only Architecture

100% local · SQLite · No network required

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