About TinyAI
Free offline AI chat with local models and private on-device replies
TinyAI is a free on-device AI assistant for Android that lets you chat with supported local models without sending your conversations to the cloud.
Once a model is downloaded, TinyAI can work offline, keeping your prompts and replies on your device for a more private and responsive experience.
Why TinyAI?
• Private on-device AI chat
• Offline use after model download
• Support for text and image input with compatible models
• Custom system prompts for each chat session
• Session-based memory and restore support
• Built-in model browser and model management
• Clean, simple interface designed for everyday use
Built for privacy:
TinyAI processes chats locally on your phone with supported on-device models. That means you stay in control of your conversations, with less dependence on cloud services.
Built for flexibility:
Different chats can use different models and instructions, so you can tailor TinyAI to your task. Use it for casual conversation, focused Q&A, image understanding, note assistance, and more.
Key features:
• Chat with supported local AI models
• Download and load models directly inside the app
• Continue conversations with session restore
• Customize each chat with a system prompt
• Use image input when the selected model supports it
• Switch between models as needed
• Keep your AI experience local and lightweight
TinyAI is a practical choice for users who want a fast, private, and flexible AI chat app that runs on device.
Additional APP Information
Latest Version
1.6.0Uploaded by
Sk Hafiz
Requires Android
Android 7.0+
Category
Free Tools AppContent Rating
Everyone
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Flag as inappropriateWhat's New in the Latest Version 1.6.0
Last updated on Oct 7, 2026
• TV & D-Pad Optimization: Seamless D-pad remote navigation on Android TV while preserving full touch controls on mobile.
• Faster Native Inference: Upgraded llama.cpp C++ engine for lower latency and better multi-core CPU/GPU performance.
• Stability & Fixes: Resolved navigation overlaps, improved theme switching, and optimized overall app stability.
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