If you're a lawyer handling discovery, a doctor dealing with patient records, a CPA with client financials, or anyone bound by NDAs, a cloud AI file renamer is a non-starter. The good news: on Apple Silicon Macs in 2026, you can run a fully offline AI file renamer that does everything the cloud tools do — with zero uploads, zero API keys, and zero network traffic.

What "offline" really means

Three things must stay local for a file renamer to be truly offline:

  1. OCR / text extraction — PDF and image text parsing on-device.
  2. AI inference — the model that decides the filename runs on your Mac's silicon.
  3. No telemetry — no file names, paths, or metadata leaving the machine.

FilesDesk's self-managed lifetime license meets all three.

The Ollama + FilesDesk setup

Step 1 — Install Ollama

Ollama is a free, open-source local model runner for Mac. Download from ollama.com, install, and it runs as a local daemon on localhost:11434.

Step 2 — Pull a vision-capable model

# Recommended for most users (3B params, fast, ~3GB RAM)
ollama pull qwen2.5vl:3b

# Better quality (7B params, ~6GB RAM)
ollama pull qwen2.5vl:7b

# Alternative: Llava
ollama pull llava:13b

Step 3 — Install FilesDesk (self-managed lifetime license)

Download FilesDesk for Mac. Purchase the $20 lifetime license — this unlocks unlimited local AI use.

Step 4 — Point FilesDesk at Ollama

In Settings → AI Provider → choose "Ollama (local)" → endpoint stays at default http://localhost:11434 → pick your model.

Step 5 — Rename files with zero network

You can disable your Mac's Wi-Fi and FilesDesk will keep renaming. EXIF, OCR, vision AI, geocoding — all on-device.

Verify with Little Snitch: Install Little Snitch and watch the network activity while FilesDesk runs. You'll see localhost:11434 traffic only. Nothing leaves the machine.

Hardware recommendations

Use cases where offline is the only option

Legal discovery

Privileged documents cannot be uploaded to a third-party cloud AI without risk. Offline renaming classifies and names discovery PDFs entirely on your Mac.

Medical records

HIPAA-protected patient data. Running inference locally on a Mac in the office avoids BAA complications entirely.

Financial auditing

Client bank statements, tax returns, internal audit work papers. Most engagement letters forbid cloud AI on unredacted files.

Government / defense

Classified, controlled-unclassified, and FOIA work can't touch commercial cloud AI.

NDAs

Product specs, roadmaps, pre-IPO financials, M&A materials. Default to offline.

Accuracy trade-off

Local models are noticeably less accurate than GPT-4o or Claude 3.5 Sonnet. On our 200-file mixed test corpus:

For privacy-sensitive workflows, 79% with zero upload beats 92% with any upload. And local model quality keeps improving — qwen2.5vl:32b in our testing approaches GPT-4o on well-lit scanned documents.

The offline smart renaming tool for macOS

$20 lifetime. Unlimited local AI renaming. No subscriptions.

Download FilesDesk for Mac

FAQ

Does offline mode need Ollama running in the background?

Yes. Ollama needs to be running for FilesDesk to call its local API. Ollama launches a menu-bar app on Mac; it uses minimal CPU when idle.

Can I use LM Studio instead of Ollama?

Yes. Any OpenAI-compatible local endpoint works — LM Studio, llama.cpp server, vLLM. Point FilesDesk's custom endpoint at http://localhost:<port>/v1.

How much disk space do local models take?

qwen2.5vl:3b is ~3GB. qwen2.5vl:7b is ~6GB. Llava:13b is ~8GB. Plan for 5–10GB per model.

Does FilesDesk have telemetry?

The self-managed lifetime license can disable all telemetry in Settings → Privacy. Verify with Little Snitch or Charles Proxy.