Figma for Agents vs Polycam
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Figma for Agents | Polycam |
|---|---|---|
| Pricing | Free beta; will become usage-based | Free tier (limited); Pro $7.99/mo or $79.99/yr |
| Best For | Design automation, UI generation, design systems | 3D scanning, floor plans, photogrammetry |
| AI Capabilities | AI agents design on canvas, Skills, MCP integration | AI photogrammetry, AI 3D model/texture generators (beta) |
| Integrations | Claude Code, Codex, MCP clients | Export to 15+ 3D formats |
| Outputs | Figma design files, layers, animations | 3D models, floor plans, point clouds, walkthroughs |
| Latest News | Skills feature, custom tools, code layers, Motion | HDRI lighting (5 presets), library UI compacted |
These tools serve completely different needs—one captures reality, the other generates UI. Polycam is essential for AEC, forensics, and product design professionals who need accurate 3D scans and floor plans from real-world environments. Figma for Agents is a groundbreaking beta for product teams that want AI to automate design updates within their design system. Choose Polycam if your work starts with physical space; choose Figma for Agents if your work lives entirely in screens and code.
AI agents design directly on Figma canvas with skills, tied to your design system.
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AI-powered 3D scanning, floor plans, and reality capture for mobile, drones, and teams.
Visit WebsiteWho should pick which
- Architecture professional needing on-site floor plansPick: Polycam
Polycam's automatic floor plan generation with measurements and drone photogrammetry directly serve this need, with exports to BIM-compatible formats.
- Product team automating UI updates from codePick: Figma for Agents
Figma for Agents integrates with Claude Code/Codex via MCP, allowing AI to update design files from code changes, preserving design system consistency.
- Forensics team requiring fast scene documentationPick: Polycam
Polycam's LiDAR scanning, AI photogrammetry, and point cloud exports enable accurate, rapid 3D capture for forensic analysis.
- Designer using AI to generate UI componentsPick: Figma for Agents
The use_figma tool and Skills feature let agents create components and layouts directly on canvas, linked to the design system.
- Game developer scanning props for 3D assetsPick: Polycam
Polycam exports to GLTF, OBJ, FBX, and USDZ, with AI texture generation beta, ideal for creating game-ready assets from real objects.
Frequently Asked Questions
Figma for Agents vs Polycam: which should you choose?
These tools serve completely different needs—one captures reality, the other generates UI. Polycam is essential for AEC, forensics, and product design professionals who need accurate 3D scans and floor plans from real-world environments. Figma for Agents is a groundbreaking beta for product teams that want AI to automate design updates within their design system. Choose Polycam if your work starts with physical space; choose Figma for Agents if your work lives entirely in screens and code.
Can I use Polycam offline?
Capture can be done offline (photos/video), but AI processing requires cloud upload. No fully offline mode.
Does Figma for Agents work without a design system?
It works, but is less effective. Skills and design system linking ensure brand consistency—recommended to have one.
What formats does Polycam export?
GLTF, OBJ, FBX, USDZ, PLY, LAS, STL, DAE, ESX, DXF, and more.
Is Figma for Agents compatible with any LLM?
Currently integrates with Claude Code and Codex via MCP server; MCP-compatible clients can also connect.
How much does Polycam Pro cost?
$7.99/month or $79.99/year billed annually.
Will Figma for Agents remain free?
No, it's free during beta and will become usage-based. Pricing not yet announced.
Can I generate 3D models in Polycam from photos?
Yes, AI-assisted photogrammetry creates 3D models from photos/video. Beta AI 3D model generator also available.
Can Figma for Agents animate?
Yes, with the new Motion feature—animations on canvas with timeline, integrated with components.
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Last reviewed: July 2, 2026