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Google AI Edge Gallery

Run open-source LLMs on your phone, fully offline and private

Google AI Edge Gallery is an open-source mobile app that lets you download and run large language models like Gemma directly on Android and iOS devices with zero cloud dependency. Built on MediaPipe and LiteRT, it features AI chat with reasoning mode, multimodal image analysis, real-time audio transcription, and autonomous agent skills—all running entirely on-device for complete privacy. A reference implementation for developers building offline-first AI experiences.

About Google AI Edge Gallery

Google AI Edge Gallery brings powerful generative AI directly to mobile devices without requiring any internet connection or cloud service. Developed by Google as an open-source showcase, the app lets users download models from the Gemma family and run multi-turn conversations, analyze images, transcribe audio, and execute multi-step agent workflows entirely on their phone's hardware. All inference happens locally, meaning prompts, images, and personal data never leave the device.

The app includes several distinct capabilities: AI Chat with Thinking Mode reveals the model's step-by-step reasoning during conversations; Ask Image provides multimodal analysis using the device camera for object detection and visual question-answering; Audio Scribe handles real-time speech-to-text transcription and translation without cloud APIs; and Prompt Lab gives developers fine-grained control over parameters like temperature and top-k sampling. The Agent Skills feature enables autonomous, multi-step workflows that can query Wikipedia, look up locations, and chain tool calls together—all on-device.

Built on Google's MediaPipe framework and LiteRT runtime (formerly TensorFlow Lite), the gallery supports loading custom models from Hugging Face and includes hardware benchmarking to compare model performance across different devices. Licensed under Apache 2.0, it serves both as a polished consumer app—reaching the App Store top 10—and as a production-ready reference for developers building privacy-first mobile AI applications.

Pricing & Platform Specs

Pricing Summary

100% free and open-source on-device AI showcase and developer framework platform by Google (Apache-2.0). Provides zero-cost access to LiteRT (formerly TensorFlow Lite) and MediaPipe model runtimes, LiteRT-LM conversational pipelines, on-device Gemma LLMs, and reference mobile applications on GitHub and Google Play with no licensing fees or API charges.

full pricing breakdown →

Supported Platforms

Android 12+, iOS 17+

Explore categories, tags & use cases

Categories

Run LLMs locally with one command

Tool for running large language models locally on your machine with a simple CLI interface. Download and run Llama 3, Mistral, Gemma, Phi, Code Llama, and dozens of other open-source models with a single command. Features model management, GPU acceleration (NVIDIA/AMD/Apple Silicon), OpenAI-compatible API server, Modelfile for customization, and multi-model switching. Ideal for offline AI development, privacy-sensitive use cases, and local testing. 120K+ GitHub stars.

Open Source

Run local LLMs with an intuitive desktop GUI and OpenAI-compatible API server.

Free desktop application by Element Labs for discovering, downloading, and running open-source LLMs locally. Features a curated Hugging Face model browser, side-by-side model comparison, parameter tuning, and an OpenAI-compatible API server on localhost:1234. Powered by llama.cpp with Metal acceleration for Apple Silicon.

freemium

Run and fine-tune Vision Language Models locally on Mac

Open-source Python package for running and fine-tuning Vision Language Models locally on Mac using Apple's MLX framework. Supports multimodal inference with images, audio, and video across Qwen, DeepSeek, Phi, and Gemma architectures. Features OpenAI-compatible API server, Gradio chat UI, and KV cache optimization. 3.8K+ GitHub stars.

Open Source

Offline-first AI assistant for local inference

Jan is an open-source offline-first AI assistant with 25K+ GitHub stars running LLMs locally without sending data externally. Features a ChatGPT-like interface with one-click model downloads from Hugging Face, conversation management, customizable prompts, and an OpenAI-compatible local API server. Supports GGUF models via llama.cpp with GPU acceleration on NVIDIA and Apple Silicon. Built with Electron for macOS, Windows, and Linux with full data privacy.

Open Source

On-device ML solutions for mobile and edge AI

MediaPipe is Google's open-source framework for building on-device machine learning pipelines across mobile, web, desktop, and edge platforms. It provides pre-built solutions for face detection, hand tracking, pose estimation, object detection, image classification, text classification, and on-device LLM inference. MediaPipe runs entirely locally without cloud dependencies, supporting Android, iOS, Python, and web browsers.

Open Source

Reusable computer vision tools for developers

Supervision is an open-source Python toolkit by Roboflow providing reusable CV utilities for detection, tracking, annotation, and dataset management. It works with any model including YOLO and Hugging Face via a standardized Detections class. Features include 20+ annotators, ByteTrack object tracking, zone counting, speed estimation, and dataset conversion between COCO, YOLO, and Pascal VOC formats.

Open Source

Community experience

Sources & verification

Sources checked
Content verified

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.

FAQ

What is Google AI Edge Gallery?

Google AI Edge Gallery is an open-source mobile app that lets you download and run large language models like Gemma directly on Android and iOS devices with zero cloud dependency. Built on MediaPipe and LiteRT, it features AI chat with reasoning mode, multimodal image analysis, real-time audio transcription, and autonomous agent skills—all running entirely on-device for complete privacy. A reference implementation for developers building offline-first AI experiences.

Is Google AI Edge Gallery free?

Yes — Google AI Edge Gallery is free to use. 100% free and open-source on-device AI showcase and developer framework platform by Google (Apache-2.0). Provides zero-cost access to LiteRT (formerly TensorFlow Lite) and MediaPipe model runtimes, LiteRT-LM conversational pipelines, on-device Gemma LLMs, and reference mobile applications on GitHub and Google Play with no licensing fees or API charges.

Is Google AI Edge Gallery open source?

Yes — Google AI Edge Gallery is open source.

Is Google AI Edge Gallery still maintained?

Yes — Google AI Edge Gallery is active. Its listing was last verified on September 6, 2026.

What are the best Google AI Edge Gallery alternatives?

The first editor-selected Google AI Edge Gallery alternatives are Ollama, LM Studio, MLX-VLM, and more.