Does LocalChat need an internet connection to chat?

No. The page describes full offline operation after a model has been downloaded.

Which Macs does it support?

The page describes optimization for Apple Silicon M1, M2, M3, and M4 Macs.

Is my chat data sent anywhere?

No. The page states zero chat telemetry, zero in-app tracking, and conversations stay on the device.

How much does it cost?

The page lists a single license at $49.50 (50% off the $99 launch price) and a family license at $199.50 (50% off $399) covering up to five devices, with custom pricing for teams. A 30 day money-back guarantee is included.

Which AI models can I run?

The page lists 300+ open-source GGUF models including Llama, Mistral, Gemma, Qwen, and DeepSeek.

Can it read my PDFs and code?

Yes. The page describes dragging in PDFs, text files, and codebases for document-aware chat.

LocalChat.app: Private AI chat for Mac that runs fully offline on your device

What is LocalChat.app?

LocalChat is a macOS app that runs open-source AI models locally on Apple Silicon Macs with no account, no telemetry, and no cloud dependency. It is built for legal consultants, software engineers, product designers, and anyone handling confidential material who does not want prompts crossing a vendor's server. Users browse and download from 300+ GGUF models (Llama, Mistral, Gemma, Qwen, DeepSeek) and chat with PDFs, codebases, and images offline.

Why LocalChat.app works

Cloud AI tools log prompts and reserve the right to train on them, which rules them out for client work under NDA. LocalChat runs every prompt on the user's own M-series Mac with encrypted local storage and zero telemetry, so a contract lawyer or a security engineer can use a capable model without any data ever leaving the device.

LocalChat.app features

On-device inference. Runs every prompt locally on Apple Silicon so conversations never leave the user's Mac.
Built-in model manager. Lets users browse 300+ open-source GGUF models including Llama, Mistral, Gemma, Qwen, and DeepSeek, and switch between them with one click.
Document chat. Accepts dragged-in PDFs, text files, and codebases for retrieval-style conversations over local files.
Image analysis. Supports analyzing dropped images alongside text prompts.
No account or telemetry. Starts working without a login and ships with zero chat telemetry and zero in-app tracking.
Offline operation. Works fully offline once a model is downloaded so users can keep working on a plane or in a secured facility.

Who LocalChat.app is for

Legal consultants drafting and reviewing privileged client documents who cannot send text to a third-party LLM under retainer rules.
Software engineers at large companies who want a coding assistant on their work Mac without leaking proprietary code to a vendor.
Product designers exploring concepts who want a no-account assistant that does not retain chat history on a remote server.
Security and compliance professionals at firms with strict data-handling policies who need a local-only AI option to recommend to staff.

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