Open source on-device AI apps (and counting), no cloud, works offline

ZETIC.ai released an open-source catalog of on-device AI apps that run entirely on a phone's NPU without cloud connectivity, eliminating compliance costs and per-token fees. The collection includes finished apps for chat, translation, vision, health, voice, and forecasting, all operating offline with zero marginal cost.

English · German /zetic-ai/awesome-on-device-ai-apps/blob/main/translations/README.de.md · Spanish /zetic-ai/awesome-on-device-ai-apps/blob/main/translations/README.es.md · French /zetic-ai/awesome-on-device-ai-apps/blob/main/translations/README.fr.md · Japanese /zetic-ai/awesome-on-device-ai-apps/blob/main/translations/README.ja.md · Korean /zetic-ai/awesome-on-device-ai-apps/blob/main/translations/README.ko.md · Portuguese /zetic-ai/awesome-on-device-ai-apps/blob/main/translations/README.pt.md · Chinese /zetic-ai/awesome-on-device-ai-apps/blob/main/translations/README.zh.md No compliance wall · $0 at any scale · Data never leaves the device · Works offline 💬 Chat · 🌐 Translate · 👁️ Vision · ❤️ Health · 🎙️ Voice · 📈 Forecasting ⚡ Powered by Melange , the on-device NPU runtime Every app here runs the model on the phone itself. Nothing goes to a server. That one fact rewrites the economics: - 🛡️ No compliance wall. No user data in the cloud means no GDPR, HIPAA, or data-residency blocker between you and launch. Put AI into health, finance, and enterprise products, and actually charge for it. - 💸 $0 marginal cost. No per-token bill, no inference servers. Your margins hold as you scale from 1 to 10 million users. - 🔒 Private by design. Nothing leaves the device, so there is no cloud dataset to breach, leak, or get audited over. - ⚡ Instant and offline. Runs on the phone's NPU with no network round-trip, on a plane, a subway, or a factory floor with no signal. And these are not snippets. Every folder is a finished app you clone and run on a real device today. Pick any app, clone, and run it on a real device. No ML setup, no model conversion, no C++. git clone https://github.com/zetic-ai/awesome-on-device-ai-apps.git cd awesome-on-device-ai-apps A free key lets the app pull its NPU-optimized weights on first launch 30 seconds, no card : mlange.zetic.ai - Settings - Personal Access Token ./scripts/adapt mlange key.sh Open an app on a REAL device the NPU isn't in the simulator : Android: apps/<AppName /Android in Android Studio iOS: apps/<AppName /iOS in Xcode Flutter: cd apps/<AppName /Flutter && flutter run Auto-generated from each app's meta.json . Run python3 scripts/generate catalog.py after adding one. Jump to: 💬 Language & Text cat-language-text · 👁️ Vision cat-vision · ❤️ Health & Wellbeing cat-health-wellbeing · 🔊 Audio cat-audio · 📈 Forecasting cat-forecasting | App | What it does | Model | Platforms | Try it | |---|---|---|---|---| Brew AI Notes | Gemma-4-E2B iOS Model ↗ https://mlange.zetic.ai/p/changgeun/gemma-4-E2B-it CherryPad LFM2.5-350M Android iOS Model ↗ https://mlange.zetic.ai/p/Steve/LFM2.5 350M Grammar Fixer T5-base Android iOS Model ↗ https://mlange.zetic.ai/p/Team ZETIC/t5-base-grammar-correction HY-MT Translator Tencent HY-MT Android iOS Model ↗ https://mlange.zetic.ai/p/vaibhav-zetic/tencent HY-MT MedASR MedASR Android Model ↗ https://mlange.zetic.ai/p/vaibhav-zetic/Medasr Offline Translator Tencent HY-MT Android iOS Model ↗ https://mlange.zetic.ai/p/vaibhav-zetic/tencent HY-MT PromptGuard Llama Prompt Guard 2 iOS Model ↗ https://mlange.zetic.ai/p/jathin-zetic/llama prompt guard 2 Qwen3 Chat Qwen3-4B Android iOS Model ↗ https://mlange.zetic.ai/p/Qwen/Qwen3-4B SayRight Citrinet-256 phoneme CTC Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/PronunciationScoring Text Anonymizer tanaos-anonymizer-v1 Android iOS Model ↗ https://mlange.zetic.ai/p/Steve/text-anonymizer-v1 VoxScribe pyannote + Whisper Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/VoxScribe-whisper-decoder Whisper ASR Whisper Tiny Android iOS Model ↗ https://mlange.zetic.ai/p/OpenAI/whisper-tiny-decoder | App | What it does | Model | Platforms | Try it | |---|---|---|---|---| Emotion Recognition | Emo-AffectNet Android iOS Model ↗ https://mlange.zetic.ai/p/ElenaRyumina/FaceEmotionRecognition Face Detection BlazeFace Android iOS Model ↗ https://mlange.zetic.ai/p/google/MediaPipe-Face-Detection Face Landmarker MediaPipe Android iOS Model ↗ https://mlange.zetic.ai/p/google/MediaPipe-Face-Landmark GlyphGo PP-OCRv5 DBNet + SVTR Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/SignTranslate Detect PlateHawk YOLOv8n Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/VehiclePlateYOLO RedactLens PP-OCRv5 DBNet + CRNN Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/LiveDocRedact Detect ShelfSense YOLO11s SKU-110K Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/ShelfScanYOLO SiteGuard YOLOv8s PPE Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/SafetyPPEYOLO SkyScout YOLOv8s VisDrone Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/AerialDetectYOLO YOLO26 YOLO26 Android iOS Model ↗ https://mlange.zetic.ai/p/Team ZETIC/YOLO26 YOLOv26-Seg YOLOv26-Seg Nano Android Model ↗ https://mlange.zetic.ai/p/vaibhav-zetic/Yolov26-Seg-Nano YOLOv8 YOLOv8n Android iOS Model ↗ https://mlange.zetic.ai/p/Ultralytics/YOLOv8n | App | What it does | Model | Platforms | Try it | |---|---|---|---|---| Camera Vitals | EfficientPhys-rPPG Android iOS Model ↗ https://mlange.zetic.ai/p/realtonypark/EfficientPhys-rPPG camera vitals FundusGate MobileNetV2 Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/RetinaDRScreen GradeVue MobileNetV2 Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/RetinaDRGrade OraLens YOLO11n Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/DentalXRayDetect Skin Classifier Skin-Cancer ViT Android iOS Model ↗ https://mlange.zetic.ai/p/realtonypark/Skin Cancer-Image Classification Voice Biomarker wav2vec2 · YAMNet Android iOS Model ↗ https://mlange.zetic.ai/p/realtonypark/Wav2Vec2-Base Emotion-Recognition Wellbeing Screener wav2vec2 · Emo-AffectNet Android iOS Model ↗ https://mlange.zetic.ai/p/realtonypark/Wav2Vec2-Base Emotion-Recognition | App | What it does | Model | Platforms | Try it | |---|---|---|---|---| NeuTTS Nano | NeuTTS Nano iOS Model ↗ https://mlange.zetic.ai/p/jathin-zetic/neutts nano Qwen TTS Qwen3-TTS-0.6B iOS Model ↗ https://mlange.zetic.ai/p/jathin-zetic/qwen tts06b talker YamNet YAMNet Android iOS Model ↗ https://mlange.zetic.ai/p/google/Sound%20Classification%28YAMNET%29 | App | What it does | Model | Platforms | Try it | |---|---|---|---|---| Chronos Forecast | Chronos-Bolt Android iOS Model ↗ https://mlange.zetic.ai/p/Team ZETIC/Chronos-balt-tiny SentryWave Chronos-Bolt-tiny Flutter Model ↗ https://mlange.zetic.ai/p/ajayshah/SensorForecastTS Claude Code, Codex, and Cursor will vibe-code you a web app in minutes. Ask them for an app that runs a model on the phone's NPU and they stall, because on-device deployment is not something they know how to do. That is the gap Melange https://mlange.zetic.ai fills, and it is the easiest way in the world to put AI on-device today. Every app in this repo was built the same way: generate the integration code with Melange, paste it in, done. Copy a use case from here and the on-device feature drops straight into your app, the same vibe-coding loop you already use. Dropping it into an existing project is about 3 lines: Android , in build.gradle.kts : dependencies { implementation "com.zeticai.mlange:mlange:+" } val model = ZeticMLangeModel context = this, tokenKey = "YOUR KEY", modelName = "Team ZETIC/YOLO26" val outputs = model.run inputs // NPU-accelerated, on-device iOS , via Swift Package Manager → https://github.com/zetic-ai/ZeticMLangeiOS.git : js let model = try ZeticMLangeModel tokenKey: "YOUR KEY", name: "Team ZETIC/YOLO26", version: 1 let outputs = try model.run inputs: inputs Bring your own model: upload it to Melange https://mlange.zetic.ai , it converts and NPU-optimizes automatically, then hands you back a phone-ready build in about an hour, not months of hardware tuning. This gallery grows by contribution, and the bar is one question: would a stranger clone this and actually use it? - Drop your app in apps/<YourApp / with Android/ and/or iOS/ - Add a meta.json see any existing app and a README.md - Run python3 scripts/generate catalog.py to add it to the catalog - Prove it runs on a real device demo GIF in the PR Full guide → CONTRIBUTING.md . Questions → Discord https://discord.gg/gqhDWfZbgU . Built by ZETIC https://zetic.ai · Powered by Melange https://mlange.zetic.ai If a phone-native AI app made you go "wait, that runs offline?", then ⭐ star it. It's how the next dev finds it. App source is Apache 2.0 : use it commercially or privately, however you like. The Melange SDK itself is a proprietary library under the ZETIC Terms of Service https://zetic.ai/terms .