Offline AI chatbot in your browser — download once, chat forever
Calculator / Reminders / Timer / Clock / Unit Converter
Chat / Writing / Translation / Summarize / Code
Latest news / Precise data / Medical / Legal / Financial
Web search / Send emails / Control device / Generate images
This tool runs 100% in your browser. All computation happens locally on your device — your input is never uploaded to any server. Results are for reference only.
Before any response, your message passes through a capability classifier. Requests that map to a built-in local tool (calculator, reminders, timer, clock, unit converter) are answered deterministically — exact results, no model needed. Everything else is routed to a small language model that runs in your browser via WebLLM (Llama-3.2 / Phi-3.5). A secondary semantic check flags requests that need real-time or professional data as "accuracy not guaranteed", keeping the assistant honest about its limits.
Each request is classified before it is answered: deterministic local tools handle exact tasks, the on-device LLM handles generative ones, and out-of-scope requests get a clear refusal with a suggestion.
Lena opens the assistant before her shift. She needs a quick calculation, a short welcome note, and a reality check on today's weather — three very different routing decisions.
To use it: open the tool, enter your inputs, and get instant results — a fully offline AI assistant that runs in your browser. Everything runs locally; nothing is uploaded.
FreeToolHub Local AI Assistant is a free browser-based tool — a fully offline AI assistant that runs in your browser. No signup, no upload; everything runs locally in your browser.
A fully offline AI assistant that runs in your browser. Download model once, then chat without internet. No API, no signup, 100% private.
The Local AI Assistant is a chatbot that lives entirely in your browser tab. Built on WebLLM, it downloads an open-weight model — Llama-3.2-1B, Llama-3.2-3B, or Phi-3.5-mini, roughly 0.8GB to 2GB — and then runs inference on your GPU through WebGPU, so conversations continue with no server involved. Unlike generic chatbots, it pairs the model with deterministic local tools: a calculator, reminders, a timer that fires real notifications even after you close the page, a clock, and a unit converter. Every answer is tagged by a capability boundary system that states plainly whether it came from an exact local tool, from the AI, or is beyond what the assistant can reliably do. Voice input and spoken replies are supported.
Privacy-conscious users who do not want their questions logged on someone else's server are the core audience. Lawyers, consultants, therapists, and anyone working with confidential drafts can brainstorm, summarize, and rewrite text knowing nothing leaves the device. Travelers and commuters use it offline — once the model is cached, airplane mode does not interrupt it. Developers and students experiment with local language models to understand their speed and limits before committing GPU budget elsewhere. People who need quick utilities, such as 'set a 10 minute timer' or 'convert 5 miles to kilometers', get exact answers from the built-in tools without loading the AI at all.
(1) Select a model and click Load Model. Llama-3.2-1B (~0.8GB) is fastest, Llama-3.2-3B (~2GB) is the balanced default, and Phi-3.5-mini (~2GB) trades speed for reasoning. The download happens once, then the model is cached in your browser storage for offline sessions. (2) Chat by typing or tapping the microphone for voice input; a toggle reads answers aloud. (3) Use plain phrases to trigger exact local tools: 'calculate 12*7', 'what time is it', 'remind me to call mom', or 'set a 10 minute timer' — these work even before the model loads. (4) Read the colored tag on each reply: Local Tool means an exact answer, AI Generated labels model output, and uncertain or unsupported requests are flagged honestly.
The local tools are fully reliable at any time: arithmetic expressions, the current date and time, reminders saved in your browser, background timers with system notifications, and unit conversions all return exact answers. The language model handles everything conversational — drafting, rewriting, summarizing, explaining concepts, translating, brainstorming — with the caveat that a 1-3 billion parameter model is not a frontier model: expect concise, sometimes shallow answers rather than encyclopedic essays. It cannot browse the web, fetch live prices or news, or control other software, and its instructions tell it to admit uncertainty rather than invent facts. That honesty is the point of the design: you always know which kind of answer you just received.
Only for the first model download — after that, the model is cached in your browser and every conversation runs fully offline. This makes it usable on flights, in air-gapped environments, or anywhere connectivity is unreliable. Check the model status indicator: it shows whether the model is cached, downloading, or requires a connection.
Smaller models (1B-class) respond instantly and run on modest hardware — good for quick questions, drafting, and brainstorming. Larger models reason better and write better but load slower and need more memory. If your device supports WebGPU, larger models are much more usable. The selection is saved, so you choose once and keep your preferred default across sessions.
The first run loads the model weights (hundreds of megabytes to a few gigabytes) and compiles them for your hardware — this one-time cost takes minutes on slow connections. Subsequent loads read from the local cache in seconds, and individual responses then run at conversational speed. The progress indicator shows download and compile stages so you know it is working, not stuck.
Yes — prompts and responses never leave your device: inference runs locally with WebGPU or WebAssembly, and history stays in your browser storage. No server sees your messages, no account is required, and clearing site data removes all traces. For sensitive material, this is the key difference from cloud chatbots: the assistant is capable without your text ever being transmitted.
Yes. After the initial model download (0.8-2GB depending on model choice), all inference runs locally in your browser via WebLLM and WebGPU. No internet is needed for conversations. Your chat history never leaves your device—no API calls, no telemetry, no cloud dependency. Ideal for air-gapped environments and privacy-sensitive use.
Three options: Llama-3.2-1B (fastest, ~0.8GB download, good for simple Q&A), Llama-3.2-3B (recommended balance, ~2GB, handles complex reasoning), and Phi-3.5-mini (~2GB, strong at code and math). All run at 10-30 tokens/second on a modern GPU. Models are cached after first download for instant subsequent loading.
It runs 1B-3B parameter models locally versus 100B+ parameter cloud models, so it cannot match their reasoning depth or knowledge breadth. The trade-off is absolute privacy: your conversations are physically incapable of leaving your device. Best suited for drafting, brainstorming, calculations, and tasks where data sensitivity outweighs the need for frontier-model capability.
Why did the cow cross the road?
No signups, no data sold. The core of every tool is free forever — the optional Pro plan adds batch processing, unlimited downloads, white-label exports and an ad-free experience.
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