No Suits. No Markers. No Limits.

Professional Markerless Motion Capture

AI-powered pose estimation from any camera. Wear what you want, skip the calibration, and get studio-quality results in any well-lit space—no dedicated mocap stage required.

Watch Reviews

Don't Take Our Word for It

See how independent creators compare us to the competition

Charlie Driscoll

YouTube Creator / UE5 Filmmaker

“Same footage... processed using Move Pro, the $7,000 per year system. And on the right we have Mimem, which is using just three of the six GoPros and costs $25 per month. They're both really good.”

Nils Gallist

YouTube Reviewer

“The feet are planted way more firmly. There is less jittering and cleanup necessary.”

Markerless vs Traditional Mocap

See how AI-powered capture compares to established methods

Feature
mimem.aiRecommended
Move.ai
Rokoko / Xsens
Optical (Vicon / OptiTrack)
Setup Time
2 minutes15 minutes30+ minutes2+ hours
Starting Price
Free$7,000/year$2,500–$25,000+$50,000+
Markers/Suit Required
Calibration Required
Minimal
Multi-Camera Support
Up to 12Multi-cameraUnlimited
Hand & Finger Tracking
Add-on ($)Add-on ($$$)
Good Lighting Required
Costume Friendly
Foot Stability
Firmly plantedGoodRokoko: poor (auto-lock) / Xsens: goodExcellent
Drift Over Time
Yes (inertial drift)

When would you still pick a traditional system?

Vicon / OptiTrack

Sub-millimeter precision for fast, complex body deformation that AI pose estimation still struggles with — acrobatics, contortion, or biomechanics research.

Xsens

Works where you can't put cameras. Inertial suits don't need line of sight or a capture volume — the sensors are on the body.

For everything else, markerless sets you free

Capture motion anywhere, with anyone, wearing anything.

AI-Powered Pose Estimation

Deep learning models detect and track 51 body joints from video alone — full body, hands, and feet.

Multi-View Triangulation

Combine footage from 2-12 cameras. Our AI synchronizes views and triangulates true 3D positions.

No Calibration Required

Skip the hours of setup. Our AI handles camera synchronization and spatial alignment automatically.

Full Body + Hands + Feet

Track the entire body including individual finger joints and toe positions.

How It Works

Record Your Performance

Use any cameras you own — phones, webcams, GoPros, DSLRs. No calibration needed.

Upload to mimem.ai

Drag and drop your videos. Multi-camera setups are automatically synchronized.

AI Extracts Motion

Our AI detects 51 joints per frame and triangulates 3D positions across camera views.

Download & Integrate

Export FBX files ready for Unity, Unreal Engine, Blender, or Maya.

Trusted by Professionals

Same footage... processed using Move Pro, the $7,000 per year system. And on the right we have Mimem, which is using just three of the six GoPros and costs $25 per month. They're both really good.

Charlie Driscoll
YouTube Creator / UE5 Filmmaker

Most systems do have a major problem when you leave the floor... In this example, he sits down, which is already a difficult task, and lifts his feet. This blew me away.

Nils Gallist
YouTube Reviewer

It's astounding how good the animations are, I barely have to clean up the animations, I'd say they look as if they are from optical mocap.

Victor Tan
Independent Creator

In terms of mocap quality I prefer mimem to Rokoko. Rokoko auto-footlocking sucks, and I don't have time to manually fix up 1 hour+ of footage. For footlocking, mimem wins.

Dylan
Filmmaker

Simple, Transparent Pricing

No long-term commitment. Cancel anytime.

Free
€0/mo
Up to 3 cameras, standard queue
Essential
€25/mo
Priority processing, more tokens
Pro
€199/mo
Up to 12 cameras, fastest queue

Frequently Asked Questions

Markerless motion capture uses computer vision and AI to track human movement from video, without requiring the performer to wear special markers, suits, or sensors.

Traditional motion capture systems require either:

  • Optical systems: Reflective markers on a suit, tracked by infrared cameras
  • Inertial systems: Sensor suits with accelerometers and gyroscopes

Markerless systems like mimem.ai eliminate this requirement entirely, using AI to detect body pose directly from regular video footage.

Modern markerless systems have closed the gap significantly:

  • Simple movements: Comparable to marker-based systems
  • Complex movements: 85-95% of marker-based accuracy with multi-camera setup
  • Extreme poses: May require more cameras or manual cleanup

For most production work, markerless mocap produces results that are indistinguishable from marker-based capture after standard animation cleanup.

It depends on your accuracy requirements:

  • 1 camera: Good for simple movements, walking, gestures
  • 2-3 cameras: Great for most use cases, handles some occlusion
  • 4-6 cameras: Professional quality, handles complex movements
  • 6-12 cameras: Maximum accuracy for challenging performances

Our free plan supports up to 3 cameras. Pro plan supports up to 12. See our pricing page for details.

Any camera that records video works with mimem.ai: smartphones (iPhone, Android), webcams, GoPros, DSLRs, mirrorless cameras, cinema cameras, or security cameras. Higher resolution and frame rate produce better results, but even basic webcams can capture usable motion data.

Markerless mocap does need good lighting and clear visibility of the subject—but unlike optical systems you don't need an infrared rig or dedicated studio. A well-lit living room, garage, or outdoor area with natural daylight works well. Inertial suits (Rokoko, Xsens) can work in the dark, but they suffer from drift on longer takes and fragile hardware.

Performers can wear almost anything. For best results:

  • Fitted clothing works better than very loose or flowing garments
  • Contrasting colors against the background help visibility
  • Avoid very dark clothing in dark environments
  • Costumes are fine—capture in character wardrobe when needed

Unlike marker-based systems, there's no need for tight lycra suits or marker placement.

mimem.ai currently processes recorded video rather than streaming real-time capture. Processing typically takes 2-5 minutes for a 30-second clip. For real-time applications, we recommend capturing video and processing in batches. Real-time streaming is on our roadmap for future releases.

Currently, our AI focuses on tracking a single performer per capture session. For scenes with multiple performers, we recommend capturing each person separately or using dedicated camera setups for each performer. Multi-person tracking is planned for a future update.

Ready to Go Markerless?

Start capturing professional motion data without suits, markers, or expensive equipment

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