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3D Scanning
3D scanning is the process of capturing a real object or environment as digital 3D data, using cameras, lasers, or structured light to produce a point cloud or mesh.
What is 3D Scanning?
3D scanning is the process of measuring a physical object or space and converting it into a digital 3D representation. Depending on the method, a scanner captures the subject's geometry using laser range-finding, structured-light projection, or photogrammetry, producing a point cloud that is then reconstructed into a mesh. The result is a digital twin that mirrors the real object's shape and often its color.
How it works
The main approaches trade off cost, speed, and accuracy: laser and LiDAR scanners bounce beams off a surface to measure distance precisely, structured-light scanners project a known pattern and read its distortion, and photogrammetry infers geometry from overlapping photos. All of them output dense, high-poly data that usually needs cleaning, hole-filling, and retopology before it is usable in games, film, or manufacturing. Reflective, transparent, and dark surfaces challenge most scanners, and moving subjects require fast capture to avoid distortion.
Use cases
Reverse-engineering physical parts for CAD and manufacturing
Capturing actors, props, and sets for film and games
Creating digital twins of objects, rooms, or job sites
Last updated September 5, 2026
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3D scanning is the process of capturing the shape of a real object or environment as digital 3D data. A scanner measures the subject using lasers, structured light, or photographs and produces a point cloud that is reconstructed into a mesh. The output is a digital model that mirrors the real object's geometry and often its color.
Most scanners measure the distance to many points on a surface, either by timing reflected laser light, reading the distortion of a projected pattern, or triangulating features across photos. Those measurements form a dense point cloud, which software then connects into a surface mesh and optionally textures. The raw result is usually cleaned and optimized afterward.
The common methods are laser and LiDAR scanning, which measure distance with beams of light; structured-light scanning, which projects a known pattern and reads how it deforms; and photogrammetry, which reconstructs geometry from overlapping photographs. Each balances cost, speed, portability, and accuracy differently.
Photogrammetry is a type of 3D scanning that uses only ordinary photographs plus software, with no specialized hardware. The term 3D scanning more broadly includes dedicated devices like laser and structured-light scanners that measure geometry directly. Photogrammetry is inexpensive and color-rich, while hardware scanners are often faster and more precise.
3D scanning captures the shape of something that already exists in the real world, while 3D modeling builds geometry from scratch in software. Scanning is faster for replicating real objects, but modeling gives full creative control and produces clean geometry. Scanned data is frequently cleaned up and retopologized with modeling tools afterward.
Yes. Phones with a LiDAR sensor can scan objects and rooms directly, and apps on any phone can run photogrammetry from a set of photos. Phone scans are convenient for quick captures, though dedicated scanners still deliver higher accuracy and detail.
Scan output is typically a dense, uneven mesh with holes, noise, and stray geometry that is heavy to render and hard to animate. Cleanup fills holes and removes noise, and retopology rebuilds the surface with efficient edge flow, with the detail baked into normal maps. This converts raw scan data into a production-ready asset.
Shiny, reflective, transparent, and very dark surfaces are difficult because they scatter or absorb the light that scanners rely on, producing gaps or noise. Featureless surfaces also trouble photogrammetry, which needs distinct points to match. Artists often dust such objects with a matte spray to make them scannable.
For many use cases it is a faster, gear-free option. Instead of setting up a scanner and cleaning the output, Meshy's image-to-3D generates a textured, watertight model from a single reference photo in minutes. It suits concept assets and props where a survey-grade capture of a specific real object is not required.
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