FileMind 0.4.0-beta — first public beta

FileMind 0.4.0-beta is the first public build. It is free, fully featured, and
runs entirely on your machine — your PDFs are never uploaded anywhere.

Windows will warn you before it runs this installer. That is expected.

This build is not code-signed yet, so Microsoft Defender SmartScreen shows a
blue full-screen warning the first time you run it:

Windows protected your PC
Microsoft Defender SmartScreen prevented an unrecognized app from starting.
App: FileMind-Setup-0.4.0-beta.exe — Publisher: Unknown publisher

The only button you can see is "Don't run". Click More info first, and a
Run anyway button appears underneath it. "Unknown publisher" means the file
carries no certificate — not that anything is wrong with it. Verify you have the
right file using the checksum below.

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What you get

• Rename — proposes a clean, citable filename for every paper from its own
  metadata (DOI, arXiv id, title, authors, year), shown in a review queue you
  approve. Nothing is renamed without your say-so, and every applied batch can
  be rolled back — verified to restore each file byte-identical by SHA-256.
• Search — exact (full-text), semantic, and hybrid across your whole library.
• Ask — questions answered from your own papers, with citations back to the
  source page.
• OCR — scanned, image-only PDFs get read and become searchable.
• Export — BibTeX, RIS, CSV, and Zotero.

The embedding, reranking and OCR models are bundled in the installer, so the
first scan works with no network connection and no HuggingFace download.

The trial is uncapped during the beta

The shipping product caps the free trial at 100 PDFs. Beta builds ship with that
limit lifted deliberately — a 100-PDF cap sits below the size where FileMind's
value becomes visible, and we would rather learn what it is worth on your real
library than on a sample of it. Point it at everything.

Install

• Windows 10 or later, 64-bit. 8 GB RAM minimum, 16 GB recommended.
• ~880 MB download, ~2.5 GB installed, plus 2–5 GB if you use a local AI model.
• The setup wizard offers a built-in model you can enable in one click. If
  you would rather use Ollama, LM Studio, or your own OpenAI / Claude / Gemini
  API key, it accepts those instead.

Known issues in this build

• Setup needs a network connection. Every AI provider option requires one and
  the AI step cannot currently be skipped, so first-run setup will not complete
  offline. Once set up, scanning and searching work fully offline.
• "Ask" is slow on the built-in model — expect several minutes for an answer
  on CPU. The progress counter is real, not a hang. Pointing FileMind at Ollama
  or a cloud API key is much faster.
• If no PDF reader is registered on your machine, "Open in system viewer" does
  nothing rather than telling you why.

Verify your download

SHA-256  5f80601792c175b6e57a81f01efc631411a7349e36cbb0dc2e3264465e25380e
Size     921,489,664 bytes

Get-FileHash -Algorithm SHA256 .\FileMind-Setup-0.4.0-beta.exe

Tell us what breaks

This is a beta and we want the bug reports — https://filemind.app/feedback, or
open an issue here. Real libraries on real machines find things a test suite
never will.