Offline AI chat for Android

Private AI that stays on your phone.

Offline AI Chat Private lets you download an AI model to your Android phone, then chat, write, summarize, translate, study, brainstorm, and work with text without a constant internet connection.

Offline AI Chat Private running locally on an Android phone

Download once. Use your model offline.

After a model is downloaded, AI inference happens on your device. Your prompts, answers, and attachments are not sent to a cloud AI service for inference. Internet is still required for installing and updating the app, downloading models, Google Play purchases and restores, and limited diagnostics when connected.

Choose the right balance for your phone.

  • Tiny

    A small free text model for lower-memory devices and basic chat.

  • Quick and Smart

    Free starter options for fast daily replies or more demanding prompts and longer sessions.

  • Compact and Premium models

    Choose a text-first CPU option, or unlock additional vision, coding, and reasoning models with Premium.

Local model catalog in Offline AI Chat Private

Write, summarize, translate, and work with text.

Start with a prompt or type your own. You can attach TXT and Markdown documents for free, while Premium adds questions about text-based PDF documents. PDF text is extracted locally; scanned and password-protected PDFs are not supported. Saved chats are free, and Premium can export a conversation as a Markdown file.

Bring local AI chat to Android.

Choose a model that fits your phone, download it over Wi-Fi, and keep useful conversations close—even when you are offline.

A local chat routine that stays useful offline

Start with a task that does not need live information: outline a note, rehearse a conversation, summarize text already on the device, or translate a short passage. State the desired format and the one constraint that matters, then ask a follow-up only when it changes the result.

Download and test the model before you need it. Check available storage, keep a fallback note for moments when the model is unavailable, and verify any time-sensitive or high-stakes answer against a current primary source.

A practical offline checklist is simple: test one harmless prompt, note how long the response takes, check whether the model handles your language, and decide where the approved output will live. If any part of the task needs a current source, pause the local workflow and verify it before acting.

How this article was created

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