ML Data Factory vs Vaulta PDF & Study AI

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.

Vaulta is a private workspace for documents, PDFs, notes and study material. SCAN AND ORGANISE Capture paper documents with your camera, import images from Photos, open files and keep everything together in a clear document library. POWERFUL PDF TOOLS Read PDFs, search their text, reorder pages, annotate with Apple Pencil, add signatures, insert photos and export the result. Combine documents or protect exported PDFs when you need to share them. SEARCH EVERYTHING Find words across document titles, notes, OCR text and PDF pages. Open a result and jump directly to the matching page or line. CONVERT AND EXPORT Open common document and archive formats, including ZIP files. Convert content inside Vaulta and export to PDF, text, Markdown, HTML, Word-compatible RTF and other useful formats. STUDY FROM YOUR OWN FILES Create summaries, outlines, key points, quizzes and flashcards from your documents. Ask questions grounded in the material you selected. PRIVATE OFFLINE AI Download an optional on-device language model and use AI tools without sending your documents to a remote AI service. Model downloads are verified before installation. MADE FOR IPHONE AND IPAD Use a focused iPhone workflow for quick capture and an expanded iPad workspace for reading, organising and studying. Your documents remain under your control. Some system features, such as speech recognition, may use services provided by the operating system according to your device settings.