OmniClassify vs NativeX

Transform your iPhone into a powerful machine learning lab. OmniClassify is the complete iOS toolkit for training, deploying, and running AI models entirely on-device. Your data never leaves your device—complete privacy, zero cloud uploads. COMPLETE ML WORKFLOW Import datasets from local folders, videos, Parquet files, or download directly from HuggingFace. Train custom models using CreateML, ONNX, or Vision Transformer architectures. Run real-time inference on images, videos, and live camera feed. Process everything locally with zero data transmission. KEY FEATURES Dataset Management Import from local folders, videos, Parquet files, or HuggingFace (Premium). DICOM medical imaging support. Automatic class detection, train/validation splits, and comprehensive statistics. Model Training (Premium) Train classification and segmentation models with CreateML, ONNX, or ViT. Custom training iterations (unlimited), advanced preprocessing, and progress monitoring. Model Import CoreML and ONNX model support. HuggingFace model downloads with automatic server-side conversion. Thousands of pre-trained models available. Image Classification Batch processing with unlimited capacity (Premium). Multi-model inference, confidence scores, detailed metrics, and result export (Premium). Object Detection YOLO model support with real-time bounding boxes. Multi-object detection, confidence thresholds, and live camera capabilities. Image Segmentation Semantic segmentation with pixel-level masks. Visual overlays and export capabilities (Premium). Video Processing Frame-by-frame AI analysis with custom intervals. Export annotated videos with bounding boxes, labels, and segmentation overlays. Live Camera Inference Real-time classification, detection, and segmentation using iPhone camera. Instant on-device results, works completely offline. DICOM Medical Imaging Full DICOM file support with multi-frame extraction, header reading, and integration with classification/detection models. HuggingFace Integration (Premium) Browse and download thousands of datasets and models. Automatic ONNX/CoreML conversion. Search by task type and license. Advanced Analytics (Premium) Confusion matrices, training metrics, validation curves. Export to JSON, CSV, PDF formats. Automation & Triggers Detection-based automations, Shortcuts app integration, custom notifications, URL opening, and haptic feedback. 100% ON-DEVICE PROCESSING Everything happens locally on your iPhone. Training, inference, analysis, and storage—all without internet or cloud servers. Your images, models, and data remain completely private. No uploads, no tracking, no data collection. PRIVACY FIRST All ML processing on-device. No cloud uploads. Complete offline functionality. No analytics or tracking. HIPAA-compliant workflows for medical imaging. PERFECT FOR ML researchers, data scientists, medical imaging professionals, computer vision developers, students, and hobbyists experimenting with AI. PREMIUM FEATURES Unlock unlimited datasets, unlimited models, unlimited inference, advanced training, exports, HuggingFace integration, and comprehensive analytics. Free tier includes 3 datasets, 2 models, and unlimited inference—perfect for getting started. Start building and deploying AI models on your iPhone today. Complete privacy. Complete control. Complete ML toolkit. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://omniclassify.com/privacy

NativeX is a visual playground for Apple's on-device intelligence — build prompt pipelines as a graph of cards, wire them together with variables, and run them right on your iPhone. Built for iOS engineers, prompt engineers, and the AI-curious: if you want to know what Apple's on-device model can actually do, this is the fastest way to find out. FREE AND PRIVATE Every run executes on the Apple foundation model that ships with your device. No account, no API key, no server: prompts, photos, and recordings never leave your iPhone, and inference costs nothing. LEARN THE REAL API Every card mirrors one Apple framework call and names the exact Swift symbol — LanguageModelSession, NLTokenizer, RecognizeTextRequest, SpeechTranscriber, etc. Configure it in the inspector, run it, read the output. What you learn transfers line-for-line to Xcode. BUILD PROMPT PIPELINES • Prompt groups assemble instructions, few-shot examples, history, and the curreturn into a single transcript • Guided generation: constrain output to JSON with registered schemas, or design your own schema on the fly — no rebuild • 17 native ops: tokenize, detect language, named entities, sentiment, OCR a photo, read a barcode, transcribe speech, speak text aloud, regex, JSON extraction, and more. Wait for more! • Human-in-the-loop pauses: type or dictate an answer mid-run EVALUATE LIKE A PRO — LLM OPS, ON-DEVICE NativeX brings the modern LLM-ops workflow — observability, datasets, evaluations — to the model in your pocket: • Run History logs every execution as a step-level trace — assembled prompt, output, timing, token estimates • Datasets batch-run a graph over a table of records, sequential or parallel • LLM-as-judge scoring runs on-device too • Re-run, reproduce, and compare past runs REQUIREMENTS NativeX runs the Apple Intelligence on-device model. That requires an iPhone 15 Pro or newer (A17 Pro chip or later) on iOS 26 or later, with Apple Intelligence enabled in Settings.