Most people think they have to choose between the privacy of local LLM models and the power of cloud LLMs. But with the right setup, you can actually […]
Private AI for Word: Using GPT-OSS-20B and Phi-4 for Text Rewriting
Introduction Professionals requiring high-level data security are increasingly moving away from cloud-based assistants. To achieve a true private Microsoft Copilot alternative, users must deploy a Local LLM directly […]
Apple Intelligence in Microsoft Word
At the 2025 Worldwide Developers Conference, Apple introduced its new Foundation Models framework, which gives app developers direct access to the on-device foundation language model at the core […]
GPT for Word. Complete offline and 100% Private. Use DeepSeek-R1-0528 or Phi-4 in Microsoft Word.
If you’re interested in leveraging powerful GPT models within Microsoft Word while ensuring data privacy, consider exploring the DeepSeek-R1-0528 and Phi-4 series models through GPTLocalhost. You can watch […]
Register Your Device to Use GPTLocalhost Completely Offline
In today’s digital age, safeguarding personal privacy is more important than ever. With GPTLocalhost, you can effortlessly run local LLMs directly within Microsoft Word. In contrast to most […]
GPT for Word. Automatic Markdown Format Conversion in Microsoft Word. 100% Private.
Elevate your productivity by seamlessly integrating local GPT models into Microsoft Word. Enjoy complete privacy without the hassle of manual Markdown conversions—our solution automates it all. Say goodbye […]
Private AI for Word: Using Skywork-OR1 for Advanced Math Reasoning
Introduction For professionals in finance, engineering, and academia, generic AI assistants often fail at complex logical deductions. To achieve a true private Microsoft Copilot alternative that excels in […]
Private AI for Word: Using Intellect-2 for Secure Creative Writing
Introduction For those following the evolution of decentralized AI training, Intellect-2-27B represents a significant milestone in distributed compute efficiency. Emerging from the research into how large-scale models can […]
Private AI for Word: Advanced Math Reasoning with Granite 3.3 & Phi-4
Introduction Private AI for Word is becoming the standard for technical professionals who require logic writing without the security risks of cloud-based LLMs. To achieve a true private […]
Private AI for Word: Using Qwen3 and Phi-4 for Constrained Writing
What is Constrained Writing? In professional drafting, Constrained Writing is the art of generating text that must adhere to strict rules, patterns, or limitations. Unlike free-form creative writing, […]
Technical Control: How GPTLocalhost Secures Your Data
Most AI tools for Word are “Cloud Add-ins,” which act as windows to a remote server. GPTLocalhost is built differently. We utilize a specific architecture designed for local development and private sideloading, ensuring your data remains entirely under your total control.
The Microsoft “Local-Only” Advantage
According to the official Microsoft Office Add-in specification, the platform allows for “Localhost” manifests. This unique technical feature was originally designed by Microsoft to let developers build and test Add-ins locally without ever deploying them to a public cloud or external server.
GPTLocalhost leverages this specific loophole to provide 100% data ownership. By running as a local Add-in that communicates exclusively with your own machine, we guarantee:
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No External Endpoints: Your text is never sent to a third-party API or cloud processing center.
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The “Development” Security Standard: We treat your daily workspace with the same isolation that engineers use for top-secret prototypes.
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Complete Private Ownership: Because the Add-in exists and runs entirely on your local server, you maintain absolute authority over your intellectual property.
Why This Matters for Professionals
For legal, medical, and financial professionals, a “Privacy Policy” is just a promise—but a local manifest is architectural proof. By utilizing Microsoft’s own local-only specs, GPTLocalhost provides total control over your data, bypassing the cloud vulnerabilities that affect tools like Microsoft Copilot and ChatGPT.