Off Grid – Run AI text, image gen, vision offline on your phone
Your phone has a GPU more powerful than most 2018 laptops. Right now it sits idle while you pay monthly subscriptions to run AI on someone else's server, sending your conversations, your photos, your voice to companies whose privacy policy you've never read. Off Grid is an open-source app that puts that hardware to work. Text generation, image generation, vision AI, voice transcription — all running on your phone, all offline, nothing ever uploaded. That means you can use AI on a flight with no wifi. In a country with internet censorship. In a hospital where cloud services are a compliance…
In plain words
Off Grid is an open-source app that runs AI models directly on a smartphone's GPU without internet connection. It supports text generation, image creation, voice transcription, and vision tasks entirely offline. The app is designed for users who want privacy for their data, need AI functionality without connectivity, or operate in environments with internet restrictions or compliance requirements. All processing happens locally on the device with nothing uploaded to external servers.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Your phone has a GPU more powerful than most 2018 laptops. Right now it sits idle while you pay monthly subscriptions to run AI on someone else's server, sending your conversations, your photos, your voice to companies whose privacy policy you've never read. Off Grid is an open-source app that puts that hardware to work. Text generation, image generation, vision AI, voice transcription — all running on your phone, all offline, nothing ever uploaded. That means you can use AI on a flight with no wifi. In a country with internet censorship. In a hospital where cloud services are a compliance nightmare. Or just because you'd rather not have your journal entries sitting in someone's training data. The tech: llama.cpp for text (15-30 tok/s, any GGUF model), Stable Diffusion for images (5-10s on Snapdragon NPU), Whisper for voice, SmolVLM/Qwen3-VL for vision. Hardware-accelerated on both Android (QNN, OpenCL) and iOS (Core ML, ANE, Metal). MIT licensed. Android APK on GitHub Releases. Build from source for iOS.
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