GPTLocalhost

Run local LLMs directly inside Microsoft Word without sending text to the cloud.

Freemium· Free tier (512-char limit); paid monthly subscription and lifetime license availableWritingBring-your-own (Ollama, LM Studio, llama.cpp, Foundry Local, etc.)

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Best for

Pick GPTLocalhost if you write sensitive material in Word and need an AI assistant that never leaves your machine or intranet.

Skip if

Skip it if you don't use Microsoft Word, won't run your own model server, or want the strongest possible model quality.

GPTLocalhost is a Microsoft Word add-in that plugs locally-hosted language models into the document you're already writing in. Once installed, you can highlight text in Word and run prompts against a model running on your own machine or intranet, with results streamed back into the document in Markdown-aware format. After a one-time device registration, the add-in runs fully offline.

The pitch is for writers and teams who can't or won't ship their drafts to OpenAI or Anthropic: lawyers, government workers, healthcare, and anyone with an NDA-shaped problem. GPTLocalhost itself doesn't ship an LLM. Instead it acts as a Word-side client that talks to whichever local runtime you've already set up: Ollama, LM Studio, AnythingLLM, Msty, llama.cpp, LocalAI, KoboldCpp, Xinference, OpenLLM, LiteLLM, or Microsoft Foundry Local. Pricing is a freemium ladder: a free tier capped at 512 characters per request, a paid monthly subscription, and a lifetime license.

It is squarely a productivity utility, not a model itself, so the experience is only as good as the local model you point it at. Model switching, intranet deployment, and team licensing are all in scope, which makes it more interesting than a hobby plug-in.

Editor's take

A practical niche tool: it doesn't try to be ChatGPT, it just brings whatever local model you're already running into the Word ribbon. For privacy-bound teams that's genuinely useful; for everyone else, a cloud-based Word Copilot will be faster and smarter. The bring-your-own-runtime breadth is the standout.

— The AI Tool Bible editorial team