Dig It vs Orbiar Scan

Dig It turns video into clean, usable keyframes, still images, cover frames, and step-by-step screenshots. Instead of scrubbing through a clip frame by frame, import a video once and quickly review the moments worth keeping. Use it to pull a strong product cover, capture tutorial steps, collect representative stills, or export images for posts, listings, notes, and workflows. Your video is processed locally on your device. Dig It does not upload your clips to a server during extraction. What you can do: • Extract cleaner keyframes from video • Reduce near-duplicate frames • Find stronger covers and representative stills • Capture important steps from tutorials and workflows • Review timestamps and scores at a glance • Reopen saved extraction history • Use lightweight tools to trim video, compress video, extract audio, and turn images into a video • Export only the PNG images you want to keep Built for creators, sellers, teachers, makers, and anyone who needs useful images from video fast. Crop and export cover images as PNG or JPEG, with an optional JPEG size limit. Create paginated PDF contact sheets with timestamps in A4 or Letter format.

Capture photogrammetry‑ready image sets with your iPhone. Orbiar Scan turns your iPhone into a professional 3D capture terminal for photogrammetry workflows. It is designed to feed clean, consistent image sets into your Mac‑based reconstruction pipeline (e.g. PhotogrammetrySession), so you can focus on your assets instead of fighting noisy data. The app is built on native iOS frameworks like ARKit, AVFoundation and CoreMotion to get the most out of your device’s camera and motion sensors, on both LiDAR and non‑LiDAR models. Who is it for? 3D artists and game studios capturing props, products and environment assets Design, VFX and visualization teams who need repeatable, high‑quality capture for their 3D pipelines Researchers and photogrammetry enthusiasts who want more control than a simple camera roll provides Key capabilities AR‑guided orbital capture Orbiar Scan tracks your device in 3D space using ARKit and motion data, helping you move around the object on stable orbits and maintain a good distance. You see how well you are covering the subject while you shoot. Smart auto‑triggering based on movement Instead of fixed‑interval shooting, the app can trigger photos when your position or viewing angle changes enough to add real value to the dataset. This reduces redundant frames and helps avoid coverage gaps around the object. Locked‑in optical settings for consistency During a capture session, focus, exposure and white balance can be locked through AVFoundation so each frame looks consistent. This minimizes flicker and color shifts that often hurt photogrammetry quality. Rich camera metadata and calibration info When available, camera calibration data (intrinsics, principal point, distortion parameters, etc.) is stored alongside your images. Your Mac reconstruction tools can use this information to better model the lens and improve geometric accuracy. Haptic feedback while capturing Subtle haptic cues confirm when the app takes a frame, so you can keep your eyes on the object instead of the shutter button. This gives the capture flow a precise, professional feel. Orbital map with quality hints An on‑screen orbital map shows your coverage around the object and can highlight frames that might be low‑light or blurry. You get a quick, visual sense of whether you should reshoot certain angles before you leave the scene. Made for Mac photogrammetry pipelines Orbiar Scan is not “just another camera app.” It is designed as the front end of your 3D pipeline, producing datasets that slot directly into Mac‑side tools such as PhotogrammetrySession and other reconstruction solutions. The combination of AR‑aware guidance, optical locking and structured metadata means: Cleaner textures with fewer lighting jumps More stable geometry with better camera estimation Less manual cleanup and fewer reshoots If you rely on iOS and macOS for 3D production, Orbiar Scan gives you a focused capture tool that speaks the same native language as your reconstruction stack.