Banani Review, Pricing & Alternatives (2026)

Banani is a web-based AI UI design tool founded in 2024 by Vlad Solomakha and Vova Parkhomchuk, whose small multidisciplinary team is based in Ukraine. It turns prompts, product requirements, screenshots, images, or Figma links into editable, multi-screen prototypes for web and mobile products. Users can refine layouts, colors, components, and content through chat or direct canvas edits, then share projects or export them to Figma, images, HTML, or code through MCP. The company says more than 100,000 people use Banani, while Tech.eu reported over 50,000 users, 14,000 monthly active users, and nearly 350,000 generated designs in May 2025. A €850,000 pre-seed round will support design generation, flow prediction, collaboration, and user-insight features. Its free tier offers limited credits, while paid plans add faster generation, Figma export, unlimited credits, or enterprise controls.

Banani turns a product idea, screenshot, image, Figma link, or PRD into editable, clickable screens on a shared canvas. Users can compare variants, select elements, and request natural language changes to layouts, colors, components, content, and typography. Uploaded logos and colors can guide brand-aware output, while shared links support review with teammates. Designs can be exported as images, editable Figma layers, HTML/CSS, or code through MCP, making handoff faster than rebuilding a concept manually. Its canvas shows mobile and desktop screens together, and Agent mode uses shared components to keep related screens more consistent. The practical tradeoff is that generated structure still requires design judgment, so Banani fits early exploration, wireframes, and prototype discussions better than final production design. Paid plans add larger credit allowances, faster generation, and broader export features, while free-plan content may support model improvement.

Banani’s model policy has practical consequences for teams handling sensitive product work. The service may send prompts, generated layouts, uploaded references, and interaction data to OpenAI, Google, or Anthropic to produce requested designs, although its stated configuration and enterprise terms prohibit those providers from training on the data. Banani may also use de-identified content from eligible free accounts to improve its own models, while paid-plan content is excluded. This makes plan selection important when projects contain confidential requirements, proprietary screens, or personal information. The product is also expanding beyond basic screen generation: brand-asset uploads, clarifying questions, bulk Figma export, image creation, and MCP connections can reduce handoff work. However, users still need to review generated results and confirm that their organization’s privacy, procurement, and export requirements fit Banani’s terms.

Banani’s pricing has an important documentation conflict. The pricing page presents Free at $0 with 12 monthly credits, three daily refills, and private projects. Plus costs $12 monthly with annual billing or $20 month to month, adding 100 monthly credits, 10 daily refills, unlimited editable Figma export, faster generation, agent mode, and code or MCP export. Pro costs $30 annually billed or $50 monthly, with unlimited credits, the highest speed, priority support, and Plus features. Enterprise pricing is custom and includes unlimited access, SSO, design-system import, integrations, tailored infrastructure, and custom AI models. However, a July 2026 help article describes Free credits as a one-time bundle and Pro as 600 monthly credits plus daily credits. Buyers should confirm current allowances before subscribing, especially if regular generation is central to their workflow.

Banani’s main limitation is conflicting credit information. Its pricing page lists 12 monthly credits plus three daily credits for Free users and unlimited credits for Pro, while a July 2026 help article describes a one-time Free bundle and 600 monthly Pro credits. Teams should confirm current limits before budgeting. Banani also sends prompts and generated content to external model providers, including OpenAI, Google, and Anthropic. Paid-plan content is excluded from Banani model training, but de-identified free-plan content may be used for improvement. Figma provides a broader manual design and collaboration environment, Framer is stronger for website creation and publishing, and Uizard is aimed at rapid interface prototyping. Banani best suits teams exploring multi-screen product concepts that need editable Figma or code output quickly. Choose Banani for fast exploration with a conventional design handoff.