A specialized utility for converting 2D images and videos into depth-aware 3D assets, primarily serving the spatial computing and social media markets.

Excellent for rapid spatial video conversion for Apple Vision Pro, weaker for high-fidelity 3D mesh generation or complex VFX workflows.

Analysis based on product data, pricing structure, traffic signals, and public user sentiment.

Immersity AI website preview

Who Should Use Immersity AI?

Typical users

Solo creators, social media managers, and XR developers who need to add depth to existing 2D libraries.

Maturity fit

beginner to scaling

Choose this if…

  • You need to convert 2D footage into spatial video for Apple Vision Pro or Meta Quest
  • Your priority is speed and automation over manual depth painting
  • You want to create parallax '3D' photos for social media engagement
  • You require depth map exports for use in external 3D software

Skip this if…

  • You need full 3D scene reconstruction (NeRF or Gaussian Splatting)
  • Your workflow requires high-resolution character animation from scratch
  • You are looking for a generative AI video tool like Runway or Luma Dream Machine

About Immersity AI

Immersity AI, formerly known as LeiaPix, is a cloud-based platform designed to bridge the gap between 2D media and 3D displays. It uses proprietary neural networks to estimate depth from flat images and video frames, enabling creators to generate immersive content without specialized hardware.

What it actually does

The tool processes 2D files to generate depth maps and converts them into various 3D formats. Users can adjust motion paths, focal points, and depth intensity to create cinematic animations or spatial videos compatible with VR/AR headsets.

What makes it different

Unlike generative AI tools that create new imagery, Immersity AI focuses strictly on depth estimation and spatial reformatting. Its primary differentiator is the native support for MV-HEVC (Spatial Video), making it a direct pipeline for Apple Vision Pro content creation.

2D to 3D image conversion 2D to Spatial Video conversion Depth map generation and export Customizable camera motion paths Apple Vision Pro format support (MV-HEVC) Batch processing for video frames API access for developers

Key Features

Spatial Video Export

Converts standard video into the MV-HEVC format required for native playback on Apple Vision Pro.

Depth Map Editing

Allows users to manually adjust the AI-generated depth map to fix artifacts or emphasize specific subjects.

Cinematic Animation Presets

Provides one-click templates for dolly zooms, horizontal pans, and circular orbits.

Neural Depth Engine

Uses a trained model to predict distance data from single-lens 2D captures.

High-Resolution Export

Supports up to 4K resolution for converted 3D video content.

Side-by-Side (SBS) Export

Generates standard 3D formats compatible with Meta Quest and legacy 3D TVs.

API Integration

Enables developers to automate depth conversion within their own applications or platforms.

Pricing

Free

Free
  • 100 welcome credits
  • Low-resolution exports
  • Watermarked previews
  • Basic depth map access
Popular

Credit Packs

$5 - $100 one-time
  • 500 to 12,000 credits
  • No expiration on credits
  • High-resolution exports
  • No watermarks

Plus Subscription

$10 per month
  • 1,000 monthly credits
  • Priority processing
  • Advanced editing tools
  • Commercial usage rights

Pricing checked 4 months ago

Pricing guidance

Best plan for most users: The $5 or $20 Credit Packs are best for most users as they allow for high-res exports without the pressure of a monthly subscription.
Free plan enough? No — the free plan is strictly for testing the interface; watermarks and resolution limits make it unusable for professional output.
Upgrade when:
  • When you need to remove watermarks for client work
  • When you need 4K spatial video exports
  • When you need to export depth maps for external 3D workflows
Watch out for:
  • Video credits are calculated per second of footage
  • 4K exports cost significantly more credits than 1080p
  • API usage requires a separate pricing structure

Affordable for occasional use via credit packs, but can become costly for heavy video production.

Pros & Cons

Strengths

  • Low barrier to entry for XR

    Allows creators to produce spatial content for expensive headsets using only a standard smartphone camera or existing 2D archives.

  • Fast processing speeds

    The cloud-based engine generates depth maps and previews in seconds, significantly faster than manual rotoscoping or traditional 3D modeling.

  • Clean depth map exports

    The exported depth maps are high-contrast and usable in professional suites like Blender or After Effects for advanced compositing.

  • Vision Pro compatibility

    One of the few accessible tools that correctly handles the specific encoding needed for the Apple Vision Pro Photos app.

Weaknesses

  • Credit-heavy pricing model

    High-resolution video exports consume credits quickly, making it expensive for long-form content or high-volume projects.

    Affects: Video editors and production studios

  • Depth artifacts on complex edges

    The AI often struggles with fine details like hair, transparent glass, or thin foreground objects, leading to 'warping' effects.

    Affects: Professional photographers and VFX artists

  • Limited creative control

    While you can adjust motion, you cannot change the underlying geometry or perform complex 3D manipulations within the tool.

    Affects: Advanced 3D designers

Real User Sentiment

Users generally appreciate the tool for its simplicity and the quality of its depth estimation, though the transition to a paid model has caused some friction.

Users tend to like

  • Ease of use for non-technical creators
  • Quality of the '3D' effect on portraits
  • Speed of spatial video conversion
  • Clean UI

Users commonly complain about

  • Credit cost for long videos
  • Occasional warping in background textures
  • Lack of a truly unlimited subscription tier

Recurring tradeoffs

  • Speed vs. Accuracy: It is faster than manual work but less accurate than professional photogrammetry.

Happiest users

Social media creators looking to stand out with 3D-style posts and Vision Pro owners wanting to view old memories in 3D.

Often frustrated

Professional VFX artists who find the depth maps too 'noisy' for high-end production work.

Use Cases

Legacy Content Conversion

Turning old family videos into spatial videos for VR headsets.

Social Media Marketing

Creating eye-catching 3D parallax photos for Instagram or Facebook.

E-commerce

Adding depth to product photography to create a more immersive shopping experience.

XR Prototyping

Quickly generating 3D assets for AR/VR environment mockups.

VFX Assistance

Generating base depth maps to speed up rotoscoping and compositing tasks.

Frequently Asked Questions

Is Immersity AI free?

It offers a limited free tier with 100 credits for new users, but professional exports (high resolution, no watermarks) require purchasing credit packs starting at $5 or a monthly subscription.

How does Immersity AI compare to Luma AI?

Luma AI focuses on 3D scene reconstruction (NeRFs), while Immersity AI focuses on depth estimation from 2D assets. Use Luma for 3D objects and Immersity for adding depth to existing photos and videos.

Can I export spatial video for Apple Vision Pro?

Yes, Immersity AI supports export in the MV-HEVC format, which is the native spatial video format used by Apple Vision Pro.

What are the limitations of the depth estimation?

The AI can struggle with transparency (glass), reflections, and very fine details like individual strands of hair, which may appear 'smeared' in the 3D view.

Does it integrate with other tools?

While it doesn't have direct plugins for Premiere or After Effects, you can export depth maps as image sequences or videos to use in any professional editing suite.

What happened to LeiaPix?

LeiaPix was rebranded to Immersity AI to better reflect its focus on immersive and spatial content creation beyond just the Leia hardware ecosystem.

Why trust this page?

This evaluation combines product positioning, pricing analysis, traffic and market signals, and public user sentiment into a single decision-support page. Content is generated editorially — not copied from the vendor's website.

Funding & Company

Founded

2014

Stage

Late stage

Total Raised

$339.67M

Latest Round

Debt (Nov 2022)

Notable Investors

Aon Advantage Funds Continental Sputnik ATX MicroVentures

Immersity AI is a product of Leia Inc., which has raised approximately $340 million in a mix of equity and debt financing. The most recent significant funding event was a $125 million debt round in late 2022, following a substantial Series D earlier that year. This level of capital from investors like Aon and Continental indicates strong backing for its underlying 3D display and AI technology.

Full funding report high confidence

Market Signals & Traffic

Estimated visits, global rank, geography, traffic sources, monthly visit trends, and organic search keywords (Similarweb)—on a dedicated page built for depth and search.

Estimated visits
0
Global rank
Snapshot
May 2026
Traffic trend
Cooling
Full market signals & traffic

Estimated monthly visits

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