4dface vs StoryFile

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-10-30
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4dface or StoryFile: which should you choose?

Dimension4dfaceStoryFile
PricingContact (enterprise-focused)Contact (professional filming services)
Core TechnologyReal-time 3D face tracking SDK with morphable modelConversational video AI using pre-recorded interviews
Primary Use CaseComputer vision, AR/VR, robotics, gamesMuseums, legacy preservation, digital twins
Output Format3D avatar and face reconstructionAuthentic video responses from real footage
Interaction TypeDeveloper SDK for integrationUser-facing conversational AI with voice/text
Target UserResearchers and developers with CV expertiseInstitutions and individuals seeking authentic AI conversations

If you need a technical SDK for real-time 3D face reconstruction from video, choose 4dface — it's backed by academic research and built for developers. If you want to create life-like, interactive conversations using actual filmed footage for museums, legacy, or digital twins, choose StoryFile — it prioritizes authenticity and emotional connection over synthetic generation.

4dface
4dface

4dface licenses a full-head 3D morphable face model SDK for real-time 3D face tracking and avatar reconstruction.

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StoryFile
StoryFile

StoryFile turns filmed interviews into interactive video conversations where visitors ask real questions and hear authentic answers.

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Pricing
Contact Sales
Contact Sales
Plans
—
Institutions & LegaciesCustom
Popularity
4 views
7.3k views
Skill Level
Advanced
Beginner-friendly
API Available
Platforms
DesktopAPI
WebMobile
Categories
🧊 3D Generation & Scanning👁️ Computer Vision
🧑‍🎤 AI Avatars & Talking Video🎭 AI Companions & Character Chat
Features
Real-time 3D face tracking from 2D video
3D avatar creation and reconstruction from images or video footage
Full-head 3D morphable face model (4D Face Model)
36 facial expressions in the 4D Face Model
Identity and expression models built from high-resolution 3D scans of hundreds of individuals
4DFM 2019 release refit on more diverse scans (announced 16 December 2018)
Cross-platform C++14 SDK
Native Python bindings alongside the C++ core
Physically accurate full-head face modelling
Personal 3D avatar output usable in downstream pipelines
Custom solution scoping with the vendor team
Technology partly presented at SIGGRAPH 2016 in Anaheim, California
Conversational video built from professionally filmed interviews
Cinematic interview sessions capturing hundreds of recorded responses
AI indexing that links each answer to natural conversational pathways
Hold-to-talk voice question input for visitors
Text question input with suggested Hints
Real-time video responses drawn only from real footage
HOLOGLASS 3D display rendering a life-size digital human
Museum exhibit integration for walk-up conversational installations
Digital twin production for public figures and media (Kara Swisher for CNN)
Family legacy capture so relatives can ask questions across generations
Institutions and Legacies solution tracks
Digital Likeness Directive standard for consent-governed AI recreation
Web playback of interactive conversation experiences
Published AI ethics, privacy, and sub-processor policies

Who should pick 4dface, and who should pick StoryFile?

  • Computer vision researcher needing accurate face reconstruction
    Pick: 4dface

    4dface's high-resolution 3D morphable model with 36 expressions and Python bindings is ideal for academic or R&D projects requiring precise face modeling.

  • Museum curator wanting an interactive exhibit with a historical figure
    Pick: StoryFile

    StoryFile's cinematic interview capture and AI indexing create authentic, conversational experiences — proven at the Japanese American National Museum with George Takei.

  • AR/VR developer creating real-time avatars from 2D video
    Pick: 4dface

    4dface's real-time tracking SDK enables physics-based avatar creation, perfect for immersive experiences in games or VR.

  • Family looking to preserve a loved one's stories
    Pick: StoryFile

    StoryFile specializes in legacy preservation with multi-generational access, using real footage to maintain emotional authenticity.

  • Enterprise wanting a digital twin of a public figure
    Pick: StoryFile

    StoryFile has created digital twins for figures like Kara Swisher, with professional filming and AI-powered conversational pathways.

Frequently Asked Questions

4dface vs StoryFile: which should you choose?

If you need a technical SDK for real-time 3D face reconstruction from video, choose 4dface — it's backed by academic research and built for developers. If you want to create life-like, interactive conversations using actual filmed footage for museums, legacy, or digital twins, choose StoryFile — it prioritizes authenticity and emotional connection over synthetic generation.

Do I need coding skills to use 4dface?

Yes, 4dface is a C++14 SDK with Python bindings, requiring software development experience.

Can StoryFile create fully synthetic avatars without filming?

No, StoryFile relies on real filmed footage from interview sessions. They offer a DIY Lookalike generative avatar option but it's still constructed from captured data.

Is 4dface suitable for tracking multiple faces simultaneously?

The available information does not highlight real-time multi-face tracking, so it may be limited to single-face reconstruction.

How does StoryFile handle privacy and consent?

StoryFile participated in launching the Digital Likeness Directive, an open standard giving people control over AI recreations, emphasizing ethical use.

Can I try 4dface for free before purchasing?

No free trial is mentioned; pricing requires contacting sales, typical for enterprise SDKs.

Does StoryFile support languages other than English?

The available data does not specify language support, but given its deployment in museums with diverse subjects, it may support multiple languages.

What else are 4dface and StoryFile compared with?

Where can you read more about 4dface and StoryFile?

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