Video to 3D workflow Turn video frames into 3D references Use sharp views from a short video to guide AI 3D generation. Extract frames here, then upload your selected images to the multi-view workspace.
This tool prepares PNG images on your device. The 3D model is generated in the next step.
From a kitten video to a new 3D model We took four views from this 4-second rendered turntable and used Tripo H3.1 to generate a new model. This demonstrates the frame-based workflow; it is not a scan of a physical object.
Source video · 4 seconds Generated 3D model · Tripo H3.1 Load 3D The four frames used for this result Texture enabled · 30,000-face target · Standard quality. Compare the new model’s ears, paws, and tail with the selected frames.
From your video to a 3D model Capture one unchanged object Move slowly around a stationary subject. Keep the whole object in view and use consistent lighting.
Extract and select clear frames Load your video in the frame extractor. Keep sharp, distinct angles of the same object and download the selected PNGs.
Generate and review the model Upload the PNGs to Multi-image to 3D, choose a supported model, and inspect the returned geometry and textures.
Which video-to-3D workflow do you need? An AI model of one object A few complementary frames can guide a generated mesh. The result still estimates surfaces and needs inspection.
See multi-image generation → A scan of a real scene Photogrammetry and neural reconstruction use many overlapping views and camera information. This frame tool does not reconstruct a measured scan.
Character movement Motion capture follows movement over time. Extracting object views is a different task from animating a rigged character.
Explore character animation → Keep useful angles, remove conflicting frames Prefer front, side, and rear views that reveal new surfaces. Reject motion blur, changing poses, cropped parts, reflections, and large lighting changes. Four clear views are more useful than many inconsistent ones.
Common questions Does Video-to-3D generate a model locally? No. It prepares selected image frames locally for a later image or multi-view generation workflow.
How many frames should I keep? Keep only distinct, sharp views that reveal useful geometry. More frames are not better when they conflict.
What makes a bad frame? Motion blur, occlusion, a changing subject, extreme perspective, or lighting that hides the silhouette.
All AI 3D tutorials Multi-view and image examples Inspect your downloaded model 
