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Banani Operational

An AI UI design tool for product teams, designers, and developers that generates editable, multi-screen UI prototypes from text, images, or product requirements

8.3POINTS
A-TierBrand grade
No.20AI Rising Stars

Banani is an AI UI design tool launched by a team founded by Vlad Solomakha and Vova Parkhomchuk in 2024. It is designed for product teams that need to quickly develop interface concepts and prototypes. Users can generate mobile and desktop designs from text, images, screenshots, Figma links, or product requirements, then edit, share, and export them in the web tool.

Banani AI UI design and prototyping tool cover
Monthly visits
0
Pricing
Free & Paid
Listed
2026-07-05
Updated
2026-08-25

01Introduction to Banani

Banani transforms text descriptions, image references, or product requirements into multi-screen, interactive UI designs and prototypes. Users can view mobile and desktop interfaces on a canvas, ask the AI to adjust layouts, colors, and components through chat, and share results with their team or export them to Figma, HTML/CSS, and images.

02Who Banani Is For

Product Managers

Quickly turn product ideas or requirements into wireframes and multi-screen prototypes for communicating product concepts, user flows, and interface direction.

Entrepreneurs and Non-Designers

When dedicated design resources are unavailable, generate initial app, website, or SaaS interface concepts from text descriptions and continue refining the designs.

Designers

Use Banani as an AI design assistant to extract visual and layout direction from reference images, screenshots, or Figma links, then edit the generated interfaces.

Developers and Engineering Teams

Export designs to Figma or code, or connect MCP-enabled AI coding agents through MCP to access design content.

03Banani Key Features

Text-to-UI Generation

Describe one or more pages in natural language, and Banani generates editable, multi-screen UI designs and interactive prototypes for quickly exploring interface concepts.

Reference Image to Design

Upload images, screenshots, or Figma links. The tool extracts their visual style and layout to generate new design directions or recreate interfaces.

Natural-Language Editing

Request changes through AI chat to adjust layouts, colors, components, and other design elements, then continue viewing and editing the results on the canvas.

Brand Style Application

Upload brand assets and colors as project references, and Banani applies them to the generated interface designs.

Interactive Prototypes

Generate clickable, multi-screen prototypes, review interactions between pages, and invite team members to view and provide feedback through a shared project link.

Design Export

Export designs as images, Figma designs, or code. Paid plans support direct import into Figma with editable layers and auto layout.

MCP Connectivity

Configure an MCP connection in Banani to let MCP-enabled AI coding agents access selected design interfaces for subsequent development work.

04What Makes Banani Stand Out

Canvas-First Multi-Screen Design

View multiple mobile and desktop interfaces on the same canvas while generating, reviewing, and editing the overall product interface.

Start with Multiple Reference Inputs

In addition to text prompts, Banani supports images, screenshots, Figma links, and PRDs, making it suitable for design exploration and transformation tasks at different stages.

Editable Rather Than Static Output

Generated results can be edited directly on the canvas and further modified through AI chat, positioning Banani as an iterative UI design and prototyping tool.

Design Delivery Integrations

Banani supports output to Figma, HTML/CSS, images, and code, and provides MCP connectivity so AI coding agents can directly access design content.

05Sources

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