

Off Grid Mobile
The Swiss Army Knife of offline AI. Chat, speak, and generate images. Privacy first, zero internet. Download an LLM and use it on your mobile device. No data ever leaves your phone.
Cost / License
- Free
- Open Source (MIT)
Platforms
- Android
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A digital toolkit for autonomous survivalists with a digital compatible lifestyle, with resilient tehcnologies and …
What is Off Grid Mobile?
The Swiss Army Knife of Offline AI. Chat, Speak, and Generate Images - Privacy First, Zero Internet. Download an LLM and use it on your mobile device. No data ever leaves your phone. Supports text-to-text, vision, text-to-image
Not just another chat app Most "local LLM" apps give you a text chatbot and call it a day. Off Grid is a complete offline AI suite — text generation, image generation, vision AI, voice transcription, and document analysis, all running natively on your phone's hardware.
ext Generation — Run Qwen 3, Llama 3.2, Gemma 3, Phi-4, and any GGUF model. Streaming responses, thinking mode, 15-30 tok/s on flagship devices. Bring your own .gguf files too.
Image Generation — On-device Stable Diffusion with real-time preview. NPU-accelerated on Snapdragon (5-10s per image), Core ML on iOS. 20+ models including Absolute Reality, DreamShaper, Anything V5.
Vision AI — Point your camera at anything and ask questions. SmolVLM, Qwen3-VL, Gemma 3n — analyze documents, describe scenes, read receipts. ~7s on flagship devices.
Voice Input — On-device Whisper speech-to-text. Hold to record, auto-transcribe. No audio ever leaves your phone.
Document Analysis — Attach PDFs, code files, CSVs, and more to your conversations. Native PDF text extraction on both platforms.
AI Prompt Enhancement — Simple prompt in, detailed Stable Diffusion prompt out. Your text model automatically enhances image generation prompts. Performance Task Flagship Mid-range Text generation 15-30 tok/s 5-15 tok/s Image gen (NPU) 5-10s — Image gen (CPU) ~15s ~30s Vision inference ~7s ~15s Voice transcription Real-time Real-time
Tested on Snapdragon 8 Gen 2/3, Apple A17 Pro. Results vary by model size and quantization.



