Overview
Meshy Image to 3D converts any 2D image into a detailed 3D model in minutes. Upload a photo, concept art, sketch, or AI-generated image, and Meshy reconstructs it as a fully editable mesh ready for texturing, animation, or 3D printing.
Image to 3D is the best choice when you need precise control over the shape and visual style of your model. For rapid ideation without a reference image, try Text to 3D instead.
Quick Start Guide
Go to meshy.ai/workspace and select Model.
Click to upload, or drag and drop your image into the slot. Supported formats: .png, .jpg, .jpeg, .webp (max 20 MB).
💡 Tip: Use a clear, front-facing image with a plain background. You can also click Remove Background directly in the upload area.
Configure your generation options — select Model Type, Model version, and any additional settings (see the Generation Options section below).
Click Generate. Your model will appear in the assets panel on the right.
Rotate the mesh in the viewer to check quality. If you spot minor issues (e.g. an extra finger or a mesh gap), click Free Retry to regenerate with a different random seed.
Once satisfied, either download the mesh directly (recommended: .STL or .3MF for 3D printing), or click Texture to generate an AI texture before exporting.
💡 Tip: You can also select Remesh to reduce poly count (best done before texturing), or Animate to auto-rig a posed character model.
Generation Options
Model Type
Controls the topology style of the generated mesh.
Standard — high-poly mesh with fine surface detail. Best for 3D printing, cinematic renders, and sculpting workflows.
Smart Topology — clean, game-ready mesh with optimized edge flow and lower poly count. Best for real-time applications, game engines (Unity, Unreal), and animation rigs.
Model Version
Selects which version of the Meshy AI engine to use.
Meshy 6 — the latest model. Highest quality geometry and best surface reconstruction.
Meshy 5 — generates 4 draft candidates simultaneously so you can pick the best result. Good when you want variety to compare.
Auto Split
When enabled, Auto Split automatically separates the generated model into distinct mesh components — for example, a character's body, clothing, and accessories as separate objects. This makes it easier to texture, rig, or modify individual parts in external tools like Blender.
Multi-View
Multi-View lets you upload additional reference images taken from different angles (e.g. front, side, back) alongside your primary image. Providing multiple viewpoints gives the AI more geometric information, resulting in more accurate reconstruction — especially for complex or asymmetric subjects.
Pose
A character-specific option that outputs the model in a standardized rest pose, making it ready for rigging and animation.
A-Pose — arms angled slightly downward at roughly 45°.
T-Pose — arms extended straight out horizontally. The most widely supported rigging standard.
Custom — upload a reference image to copy a specific pose. Full guide here.
💡 Enable Pose only for humanoid or character models — it has no effect on objects, vehicles, or non-character subjects.
Image Enhancement
Applies AI preprocessing to your input image before generation. It sharpens details, improves contrast, and reduces noise — helping Meshy extract better geometry from imperfect source images. Enable this when your image is slightly blurry, low-resolution, or has inconsistent lighting.
License
Sets the usage rights for your generated model.
Personal — for non-commercial use only (personal projects, learning, hobbyist work).
Commercial — grants full commercial rights to use the model in products, games, apps, or for sale. Requires an eligible paid plan.
See the Meshy Terms of Service for full licensing details.
FAQ
1.How do I choose between Standard and Smart Topology?
Choose based on how you plan to use the model:
Use Standard when visual fidelity is the priority — for 3D printing, high-resolution renders, or as a sculpting base. The higher poly count preserves fine surface detail.
Use Smart Topology when the model needs to run in real time or be rigged for animation. Smart Topology produces cleaner edge loops and a lower poly count that performs well in game engines and animation software.
If you're unsure, start with Smart Topology — it's easier to add detail later than to clean up a dense mesh.
2.Why doesn't the generated model match my reference image?
Several factors can cause the output to diverge from the input:
Hidden geometry — if parts of the object are not visible in the image (e.g. fingers hidden behind a hand, a back panel not shown), the AI must guess those areas and may generate inaccurate details. Use Multi-View to provide additional angles.
Busy or complex backgrounds — a cluttered background can confuse the model about what the main subject is. Use the built-in background remover before generating.
Low resolution or blur — unclear source images lead to inaccurate geometry. Enable Image Enhancement or use a higher-quality image.
Very fine details — thin features like hair strands, jewelry chains, or intricate surface patterns are difficult to reconstruct accurately in 3D from a single image.
Multiple objects in frame — if the image contains more than one subject, the model may merge them. Keep each generation focused on a single object.