Local AI Notes vs ML Data Factory

local-ai-notes turns your notes into a structured knowledge system that organizes itself. Type anything — your notes are automatically clustered by meaning using machine learning that runs entirely on your iPhone. No cloud, no API calls, no tracking. KEY FEATURES - Automatic Semantic Clustering Notes group themselves by topic using on-device embeddings. No manual folders, no manual tagging. - Slash Commands /remind for reminders, /ask to query your notes, /calendar for events, /tag for tags, /lock for biometric protection. - Voice Input Speak naturally — local speech recognition transcribes and routes your input to the right action. - Knowledge Graph See how your notes connect. Force-directed visualization of semantic relationships. - Smart Mode (Optional) Download an on-device AI model (Gemma 3 or LFM2.5) for natural language answers grounded in your notes. PRIVACY-FIRST Everything runs on your device. We don't have servers. We don't track. We don't analyze. We can't see your notes — even if we wanted to. Your data is encrypted at rest, biometrically locked, and never leaves your iPhone. REQUIREMENTS - iOS 17 or later - iPhone XS or newer recommended - Smart Mode requires additional 1-3 GB free storage

ML Data Factory is a professional-grade mobile utility engineered to bridge the gap between raw video footage and the high-quality datasets required for machine learning. Designed for data engineers, sports analysts, and AI researchers, this app allows you to curate, manufacture, and package machine learning datasets entirely from your iPhone or iPad. Stop wasting time with bulky desktop software. Whether you are in the field or at your desk, ML Data Factory provides a streamlined, high-throughput pipeline to transform raw video into structured, AI-ready training data. Key Features: Precision Data Pipeline: Seamlessly ingest raw video from iCloud, the local Files app, or your Photo Library. Support for bulk-uploading allows you to queue multiple videos for efficient, uninterrupted processing. Direct-Link Ingestion: Paste direct video URLs to stream and download high-quality footage directly into your processing queue. Frame-Accurate Scrubbing: Utilize high-precision seeking controls to pinpoint the exact millisecond of an action. Whether you are analyzing a sports swing or a manufacturing process, you have full control with frame-by-frame navigation. ML-Ready Visual Guides: Built-in 224x224 crop guides ensure your visual subjects are perfectly framed for popular machine learning models (e.g., ResNet, MobileNet), ensuring data consistency before you ever snap a frame. Dynamic Dataset Labeling: Create, manage, and toggle custom categories on the fly. Organize your dataset into structured folders that match your specific training labels. Customizable Capture Length: Adjust your capture window dynamically—choose between 30, 60, 90, 120, or 150 frames to match the specific needs of your ML model's temporal requirements. One-Tap Manifest Export: With a single tap, the app compiles your categorized clips into a structured dataset_manifest.json and bundles everything into a single .zip archive. Easily AirDrop or transfer your entire, ready-to-train dataset to your workstation for immediate use in Create ML, PyTorch, or TensorFlow. Technical Specifications: High-Speed I/O: Built on the AVFoundation framework for efficient, asynchronous video processing and extraction. Optimized Performance: Fully compliant with modern iOS 18+ standards for maximum stability and performance on the latest hardware. Data Integrity: All dataset operations are performed using atomic write protocols to ensure no data is corrupted or lost during the extraction and zipping process. User-Centric Design: High-contrast, dark-themed industrial interface designed for high-focus professional environments.