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In3D

In3D is a mobile scanning tool that converts phone videos into rigged, realistic 3D avatars for games, AR, and virtual try-ons.

In3D

Summary

In3D Review

In3D is a mobile 3D body and face scanning platform that turns smartphone videos into rigged avatars. It outputs meshes with textures, skeletons, and blendshapes ready for engines like Unity and Unreal, supporting virtual try-on, games, and metaverse experiences. Users capture with guided prompts, review quality, and export to standard formats, while an API enables batch processing for apps. Privacy controls and consent workflows address likeness handling. Typical workflows include virtual apparel fitting, character creation, and remote previsualization. The value is realistic avatars without specialized hardware.

Things to Know About In3D

In3D drawbacks: Scans depend on device sensors and lighting; hair, loose clothing, and reflective materials reduce fidelity. Rigs and meshes often need cleanup for retargeting or game-engine import, and export formats or poly budgets may be restrictive. Real-time rendering of detailed avatars can be performance heavy on mobile. Face/body data collection raises biometric privacy concerns and may require explicit consent and secure storage practices.

Top Features

  • Create photoreal 3D avatars from a smartphone scan
  • Auto rigging with blendshapes for facial animation
  • GLB/FBX exports compatible with major engines
  • Pose controls and retargeting for motion
  • Texture baking and PBR material outputs
  • Privacy-first capture and local previews
  • Avatar dressing and accessory options
  • Unity/Unreal and web integrations
  • API for batch scanning in apps
  • Use cases across games, AR, and virtual events

In3D Pricing

In3D pricing: pay-per-scan or subscription based on avatar counts and resolution, with SDK/API access for apps and games; business tiers add branding, analytics, and support SLAs; total cost depends on monthly scan volume and export formats.

How to use In3D

To use In3D, download the app, follow the capture guide to scan a subject with your phone, and generate a rigged 3D avatar. Inspect mesh and textures, export in supported formats, and retarget to engines like Unity or Unreal. Tweak materials and poses, then integrate into games, AR, or digital try-ons.

Alternatives & Competitors

In3D competes with Ready Player Me, DeepMotion/Plask (mocap), and Polycam/Luma for avatar creation from phone scans. Overlap includes photoreal heads/bodies, rigging, and export to engines. Rivals may offer standardized avatar ecosystems, motion libraries, and broader format support (FBX/GLB) with SDKs. In3D’s strengths are quick mobile scanning and game-ready rigs. Gaps include realism under poor lighting, consistency across devices, and fewer turnkey integrations for live personalization at scale.

Video

Website

in3d.io

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