Find AI ListFind AI List
HomeBrowseAI NewsMatch Me πŸͺ„
Submit ToolSubmitLogin

Find AI List

Discover, compare, and keep up with the latest AI tools, models, and news.

Explore

  • Home
  • Discover Stacks
  • AI News
  • Compare

Contribute

  • Submit a Tool
  • Edit your Tool
  • Request a Tool

Newsletter

Get concise updates. Unsubscribe any time.

Β© 2026 Find AI List. All rights reserved.

PrivacyTermsRefund PolicyAbout
Home
Data & Analytics
Move AI
Move AI logo
Data & Analytics

Move AI

Move AI is a computer vision platform that uses artificial intelligence to capture human motion from standard video footage, eliminating the need for specialized suits or complex marker-based systems. The technology transforms video from smartphones or standard cameras into high-fidelity 3D motion data that can be imported directly into popular 3D animation and game development software like Blender, Maya, Unreal Engine, and Unity. It's designed for animators, game developers, filmmakers, and VFX artists who need realistic human motion for characters but want to avoid the cost and complexity of traditional motion capture studios. The platform leverages advanced neural networks to understand human biomechanics and spatial relationships from 2D video, reconstructing accurate 3D skeletal movements with natural physics. This democratizes motion capture by making it accessible to smaller studios, indie developers, and educational institutions who previously couldn't afford professional mocap solutions.

Visit Website

πŸ“Š At a Glance

Pricing
Paid
Reviews
No reviews
Traffic
β‰ˆ50K-100K visits/month (public web traffic estimate, based on similar tools in computer vision/animation space)
Engagement
0πŸ”₯
0πŸ‘οΈ
Categories
Data & Analytics
Computer Vision

Key Features

Markerless Motion Capture

Captures human motion from standard video without requiring subjects to wear specialized suits, markers, or sensors. The AI analyzes video frames to extract 3D skeletal data.

Multi-Camera & Single-Camera Support

Works with both single camera footage for basic captures and synchronized multi-camera setups for higher accuracy and occlusion handling.

Real-time Processing Preview

Provides immediate visual feedback during processing with a web-based 3D viewer that shows skeletal animation as it's being generated.

Industry-Standard Export Formats

Exports motion data in FBX, BVH, and other standard formats compatible with major 3D software like Maya, Blender, Unreal Engine, and Unity.

Automatic Rig Retargeting

Intelligently maps captured motion to different character rigs with varying proportions and skeletal structures while preserving motion quality.

API Access for Automation

Provides REST API endpoints for programmatic video upload, processing initiation, and result retrieval to integrate into automated pipelines.

Pricing

Starter

Pay-as-you-go credits
  • βœ“Access to web platform
  • βœ“Standard processing speed
  • βœ“FBX and BVH export formats
  • βœ“Basic character rig support
  • βœ“Community support via email

Pro

Higher volume credit packages
  • βœ“All Starter features
  • βœ“Priority processing queue
  • βœ“Advanced rig customization
  • βœ“Batch processing capabilities
  • βœ“Direct technical support

Enterprise

Custom
  • βœ“Custom SLAs and processing guarantees
  • βœ“Dedicated infrastructure
  • βœ“White-label solutions
  • βœ“API customization
  • βœ“Dedicated account management
  • βœ“On-premise deployment options
  • βœ“Advanced security and compliance features

Traffic & Awareness

Monthly Visits
β‰ˆ50K-100K visits/month (public web traffic estimate, based on similar tools in computer vision/animation space)

Use Cases

1

Indie Game Development

Small game studios use Move AI to create realistic character animations without the budget for traditional motion capture studios. Developers film themselves or actors performing movements, process the video through Move AI, and import the resulting animations directly into game engines like Unity or Unreal Engine. This enables indie teams to achieve AAA-quality animations at a fraction of the cost and time.

2

Film and VFX Production

Film studios and VFX artists capture complex human performances on location or in constrained spaces where traditional mocap setups are impractical. The markerless system allows actors to perform in costume or with props that would interfere with sensor suits. The resulting data drives digital doubles or enhances practical effects with realistic motion.

3

Animation Education and Training

Educational institutions use Move AI to teach animation principles and motion capture techniques without investing in expensive hardware. Students can experiment with capturing their own movements, learning how real motion translates to digital animation. This hands-on approach demystifies professional animation workflows and makes advanced techniques accessible in classroom settings.

4

Virtual Production and Previsualization

Production teams capture rough performances during pre-production to block out scenes and plan camera movements. The quick turnaround from video to 3D motion allows directors to visualize complex sequences before committing to final shoots. This iterative process saves production time and helps identify potential issues early in the creative pipeline.

5

Fitness and Sports Analysis

Coaches and sports scientists analyze athlete movements to improve technique and prevent injuries. By capturing performances with standard cameras and converting them to 3D skeletal data, they can measure joint angles, movement efficiency, and biomechanical metrics. The accessible system allows for regular monitoring without specialized motion capture labs.

6

Virtual Reality and Metaverse Content

VR developers and metaverse creators generate natural human animations for avatars and virtual characters. Content creators capture social gestures, dance moves, and interactive animations that make virtual experiences feel more authentic and engaging. The ability to quickly capture diverse movements supports the constant content demands of live virtual environments.

How to Use

  1. Step 1: Create an account on the Move AI website and log into the web-based platform or download the appropriate desktop application for your workflow.
  2. Step 2: Prepare your video footage by ensuring proper lighting, clear subject visibility, and using multiple camera angles if possible for higher accuracy (though single-camera capture is supported).
  3. Step 3: Upload your video files to the Move AI platform through the web interface or connect directly via API for automated processing pipelines.
  4. Step 4: Configure processing settings such as frame rate, output format (FBX, BVH, etc.), and character rig specifications to match your target animation software.
  5. Step 5: Initiate the AI processing which analyzes the video frames, detects human poses, and reconstructs 3D skeletal motion data through neural network inference.
  6. Step 6: Review the processed motion capture data in the web viewer, where you can visualize the 3D skeleton animation and make basic adjustments if needed.
  7. Step 7: Download the final motion data in your chosen format (FBX, BVH, etc.) with included metadata about joint rotations and positional data.
  8. Step 8: Import the downloaded files directly into your 3D software (Blender, Maya, Unreal Engine, Unity) and retarget the motion to your character rigs for final animation.

Reviews & Ratings

No reviews yet

Sign in to leave a review

Alternatives

15Five logo

15Five

15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.

0
0
Data & Analytics
Data Analysis Tools
See Pricing
View Details
20-20 Technologies logo

20-20 Technologies

20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.

0
0
Data & Analytics
Computer Vision
Paid
View Details
3D Generative Adversarial Network logo

3D Generative Adversarial Network

3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.

0
0
Data & Analytics
Computer Vision
Paid
View Details
Visit Website

At a Glance

Pricing Model
Paid
Visit Website