Figma AI

What is Figma AI?

AI capabilities across Figma's professional design platform - generating first drafts, renaming layers, rewriting copy, searching designs visually, and in Figma Make, generating working prototypes and code from a prompt.

Main features

• First Draft generating a UI design from a prompt
• Figma Make turning designs or prompts into working, interactive prototypes with code
• AI-powered visual search across your design files
• automatic layer renaming
• Rewrite and Translate for UI copy
• Remove Background
• Make Image
• Dev Mode with code generation
• MCP server exposing design context to coding agents
• Figma Slides and Figma Sites with AI.

Practical use cases

• Generating a first-pass screen layout to iterate on
• turning a static design into a clickable, coded prototype for user testing
• cleaning up a file with hundreds of unnamed layers
• translating UI copy across locales
• giving a coding agent real design context via MCP.

Who is it for?

• Professional product designers, UX teams, design systems teams and the engineers who build from their work.

Pricing, free access & limits

Per-seat subscription differentiated by seat type; AI credits by tier

Plans described in the source

Starter free for up to 3 files and 3 pages, with limited AI. Professional around $16/full seat/mo billed annually ($20 monthly); Figma restructured to seat types (Collab, Dev, Full) in 2025, with Dev seats around $12 and Collab seats around $5 annually. Organization around $45/full seat/mo annually with design systems analytics and SSO. Enterprise around $75/full seat/mo annually. Figma Make and AI features have their own credit allowances by tier, with full seats getting the largest allowance.

Usage limits to consider

AI features are credit-metered with allowances by seat type and tier. Figma Make has separate generation limits. The 2025 seat restructure means cost depends heavily on how many people need full editing rights.

Strengths & tradeoffs

These points summarize the supplied research, rather than hands-on test results.

Strengths noted in the source

• Figma is the industry standard for UI design and the AI sits inside that workflow rather than beside it
• the MCP server giving coding agents real design context is strategically significant and genuinely useful
• Figma Make producing working coded prototypes closes the design-to-code gap
• visual search across large files solves a real pain.

Limitations to consider

• AI features are noticeably less mature than the core product and less capable than dedicated generators
• the 2025 seat-type restructure made pricing more complex and, for many teams, more expensive
• credit limits on Figma Make are restrictive
• Adobe acquisition attempt and subsequent independence created roadmap uncertainty
• steep learning curve for non-designers.

Platforms, languages & integrations

Platforms

• Web, Windows, macOS, iOS, Android (view/present)
• Dev Mode
• VS Code extension
• MCP server

Languages

• Interface in several languages; content in any language with reasonable RTL support

API access

Yes - Figma REST API, Plugin API, Widget API, and an MCP server for AI coding agents

Integrations and exports

• Jira, Slack, Notion, Storybook, GitHub, Zeplin, Asana, Linear, Microsoft Teams, plus a very large plugin ecosystem

Evaluation notes

Model the seat mix carefully under the new structure - the cost difference between full, dev and collab seats is large and most teams over-provision full seats. Figma Make is worth testing but should not yet be relied on for production code.

Explore similar tools

Other tools in AI Design Tools. Compare their specific features and limits for your task.

Frequently asked questions

Sources & editorial notes

Based on the directory editor’s supplied research. The source does not provide a verification date for this row. Importing a record does not independently verify every product claim.

• Official product website
• Official pricing