DocWeave vs Stud Finder App

Turn PDFs, images, and paper documents into structured content you can actually edit and reuse. DocWeave runs an AI document recognition model locally on your device. Import PDFs or images, scan paper documents, book pages, and lecture notes with your iPhone or iPad, or capture scrolling webpages and long articles through screen recording. Once the local model is installed, recognition works without an internet connection, and your documents never need to be uploaded to a server. What It Can Do • Scan Paper Documents Automatically detect and continuously capture pages on iPhone and iPad, then add them to the processing queue. Ideal for book pages, lecture notes, receipts, and temporary documents. • Capture Scrolling Content Record scrolling webpages or long articles and automatically stitch them into a long screenshot. Before recognition, you can remove ads, duplicate sections, and irrelevant content. • Understand Complex Layouts Go beyond plain text. DocWeave can recognize paragraph structures, tables, LaTeX formulas, code blocks, and algorithm blocks. • Export in Four Formats Generate reconstructed PDF, Markdown, EPUB, and MinerU packages in one pass—ready for reading, editing, archiving, or further processing. • Preview as Recognition Progresses View structured results as soon as each page is completed, so you can follow the progress and check the reconstructed layout. • Resume After Interruptions If a model download, page capture session, or large document recognition task is interrupted, continue from the saved progress instead of starting over. • Keep Documents on Your Device Model inference, page images, and recognition results are stored locally. Unless you choose to export, share, or send them to another app, your recognized content stays on your device. From capturing paper and importing files to understanding complex layouts and exporting reusable content, DocWeave keeps the entire document workflow on your device. First Use An internet connection is required to download the local recognition model, which is approximately 2.5 GB. The download begins only after you confirm it and can resume if interrupted. Once installed, the model can perform recognition offline. Device Requirements On-device AI recognition requires an A14 / M1 chip or newer and at least 6 GB of RAM. Requirements differ by recognition engine: • OvisOCR2 (faster, lower memory usage): a device with at least 6 GB RAM; keep at least 3 GB of free RAM before loading the model; model files are about 0.6–1 GB (varies by device). • MinerU (full-featured, supports reconstructed PDF export): a device with at least 8 GB RAM; keep at least 5 GB of free RAM before loading the model; the model file is about 2.5 GB. Note: free RAM is not storage; you also need enough storage for the model files and recognition results. Recommended devices: • iPhone 12 Pro / 13 Pro, iPhone 14 or newer (MinerU requires iPhone 15 Pro or newer) • iPad mini (A17 Pro) • iPad Air (M1) or newer • iPad Pro (M1) or newer • Mac with Apple silicon and at least 8 GB of unified memory Devices before A14 are not supported, e.g. iPad Pro (2018/2020, A12X/A12Z chip). Camera scanning and rolling-screen recording capture are only available on iOS/iPadOS. The macOS version supports importing PDFs and images via file picker, drag and drop, or paste.

Find the stud before you drill. Stud Finder turns your iPhone's built-in magnetometer into a magnetic stud finder. It picks up the steel nails and screws that hold drywall to the studs, and warns you about the pipes, rebar and conduit you don't want to hit. Lay your phone flat on the wall, let it calibrate, then slide it slowly. The gauge climbs as you get closer to metal, and the scanner lights up, beeps and buzzes when it finds something. THREE SCAN MODES Stud Mode: Tuned for the small, brief signal of a nail or screw. Follow the line of fasteners to find the stud. Metal Mode: Less sensitive, so only larger metal like pipes, plates and steel studs stands out. A line of nails won't set it off, so you can tell a fastener from a pipe. Deep Scan (Pro): The most sensitive mode, for fasteners set deeper in the wall that Stud Mode can pass right over. WALL VIEW (PRO) Found one stud? Point your camera at the wall and Wall View draws a line on it in AR, then marks where the next studs should be at your stud spacing: 16 or 24 inches, or 40 or 60 cm. Slide your phone onto a predicted line to check it, and tap to confirm. Predicted lines are estimates. Doubled studs around doors, windows and corners can break the pattern, so check each one with the scanner before you drill. FEATURES • Calibrates against your own wall, so readings fit the room • Live field strength in microtesla (µT) or milligauss (mG) • Low, normal and high sensitivity • Haptic and sound alerts: one beep for a possible stud, three for metal • Save scans and look back at them later • Keep the screen awake while you scan • A step-by-step guide that walks you through hanging a shelf, from the first stud to the last screw • Available in 13 languages FREE AND PRO Stud Mode, Metal Mode and calibration are free. The free plan includes 3 scans of up to a minute each. After that, watch a short ad for another scan, as often as you like. You can keep up to 5 saved scans. Stud Finder Pro adds: • Deep Scan • Wall View • Unlimited scans with no time limit and no ads • Unlimited saved scans If your plan starts with a free trial, we'll remind you two days before it ends. HOW IT WORKS, AND WHAT IT CAN'T DO We want you to know exactly what you're getting. Your phone's magnetometer senses magnetic fields, so it detects ferrous metal: steel nails, screws, pipes, rebar and conduit. Wood isn't magnetic, and no phone can detect it directly. Stud Finder finds studs the way a magnetic stud finder does, by finding the metal fasteners holding them in place. That's why the app reports what it finds by signal strength instead of claiming to identify materials. If a reading in Stud Mode is unusually strong, it tells you it's likely metal rather than a stud. Results depend on your device's magnetometer, the wall material and how deep the metal is. Detection is less reliable through thick plaster, tile, concrete or metal lath. Always check before you drill, and never rely on any app alone where there may be electrical wiring or plumbing. SUBSCRIPTIONS Payment is charged to your Apple ID when you confirm your purchase. Subscriptions renew automatically unless cancelled at least 24 hours before the end of the current period. You can manage or cancel them in your App Store account settings. PRIVACY Your saved scans are stored on your device. Privacy Policy: https://redizeuz.com/privacy Terms of Use: https://redizeuz.com/terms