Top AI design tools for UX/UI designers in 2025

The year 2025 has brought lots and lots of AI add-ons to all sorts of industries and tools, and design is no different. There is a new generation of AI design tools that can generate entire interface mockups from a simple prompt and automate tedious edits. 

What does that mean for designers? Workflows? Streamlined. Fresh ideas? Sparked. Help with creating user experiences? Sure thing!

How about we review and compare the top AI UX tools available to designers today, including Figma AI, Stitch, Uizard, Midjourney, Adobe Firefly, and more, so you can clearly see how to use them in practice to improve your workflow, inspire creativity, and improve user engagement? 

Top 5 AI design tools for UX/UI designers in 2025

The next AI design tools we’re going to explore are here to handle the heavy lifting, spark inspiration, and take on the drudge work so you can focus on crafting delightful experiences. 

We’ll also share actionable tips, use cases, and integration strategies (with a friendly nod to how Merge can support custom AI integrations) to help you get the most out of these innovations.

Figma AI. Generative design and plugins

Figma has long been a go-to tool for interface design. Our team uses it in our daily work. Now, it’s been charged with some AI features as well. In 2025, designers can use Figma AI both through built-in beta features and community plugins to speed up design work. 

Figma’s new AI capabilities:

• Text-to-design (prompt to layout). Figma’s AI can generate a first draft design from a simple description. For example, type “Design a mobile login screen with two text fields and a login button,” and Figma will produce a suggested layout.
• Generative fill for images. As part of the Adobe family, Figma is beginning to adopt features like Adobe’s generative fill. While Figma itself is vector-focused and doesn’t have Photoshop’s exact generative fill tool yet, you can use plugins that insert AI-generated images or textures into your designs.
• Find and organize with AI. Figma’s AI can intelligently search your design files. You can find a specific icon or component by describing it or even sketching a shape and letting the AI locate similar elements in your file.
• Automated prototyping. Figma now offers an AI “Make Prototype” option. A single action can link together screens you’ve generated, creating a basic interactive flow.

Top Figma AI plugins to try. Figma’s community has many AI-powered plugins that complement the built-in features. Here are a few popular ones for 2025:

• Magician by Diagram. As an all-in-one design automation helper, it can generate UI text content, create icons or images from a prompt, and even offer design variations.
• MagiCopy. This plugin focuses on UX copy. Highlight any placeholder text in your design, and MagiCopy will suggest human-like alternatives (e.g., button labels, error messages, or dummy article text) based on rules or styles you set.
• Picon & PicsAI. These tools let you generate images or illustrations by typing a description directly within Figma. Use them to quickly create custom illustrations, backgrounds, or avatars without sourcing from libraries.

Galileo AI (now Stitch by Google). Text-to-UI

Galileo AI made waves as a “prompt-to-UI” generator – you describe an interface in plain language, and it builds a design for you. In late 2024, Galileo was acquired by Google and rebranded as Stitch under Google Labs. Here’s how it works and how designers can use it:

• Instant UI mockups from text. At its core, Galileo/Stitch lets you generate UI designs from text prompts. You might type: “Create a weather app screen with a city search bar, current temperature display, and a 5-day forecast list.” Stitch’s AI will produce a high-fidelity static design matching that description, complete with layout and sample content.
• Sketch-to-design conversion. If you already have a rough idea on paper, upload a hand-drawn wireframe or even a simple paper sketch. Stitch can convert sketches or screenshots into editable designs, using AI to interpret your drawing and flesh it out.
• Multiple variations. For each prompt, Galileo/Stitch generates several variants so you can explore different layouts or styles without redrawing from scratch. For example, one dashboard might come in a light vs. dark theme or with cards vs. list layouts.
• Export to Figma or code. Stitch allows you to send the generated design to Figma (for further manual tweaking in a familiar environment) or export it to HTML/CSS code. The Figma export is great for integrating AI-generated content into your existing design files, and the code export gives developers a head start by providing front-end code for the design.

Uizard. AI-powered UI design suite

Uizard is often hailed as one of the most comprehensive AI UX tools available. It’s an end-to-end design platform that uses AI to take you from idea to interactive prototype. Here’s what Uizard can do:

• Text to design. Uizard’s Autodesigner lets you create app or website designs by simply describing your idea. This feature can produce entire prototype screens in minutes.
• AI image generation for UI. Uizard has an image generator: type a prompt, and it will generate an image to fit your design. This is useful for quickly getting custom graphics (like hero images or icons) that match your theme without having to search image libraries.
• Theme generation from examples. One very cool feature is Uizard’s ability to create color schemes and themes. You can upload a logo or image or even point to a website, and Uizard will generate a matching palette and stylistic theme for your design.
• Sketch to Wireframe: Similar to Galileo, Uizard can convert a hand-drawn sketch into a digital wireframe layout.
• Screenshot to mockup. You can feed Uizard an image of an existing app or webpage, and it will recreate an editable design from it. This is handy for onboarding (you can import a reference design you like) or to quickly grab pieces of an old design for a revamp.
• Focus predictor. Uizard uses AI to predict which parts of your design will draw the most attention from users. After generating a design, you can see a heatmap or highlight areas likely to be noticed first. This helps you gauge if your call-to-action button is prominent enough or if some element is too visually dominant.

Midjourney. Generative art for design inspiration

Midjourney is an AI image generator that has become a favorite among designers for creating nice visuals from text prompts. While Midjourney isn’t a UI layout tool, it produces artwork, illustrations, and even concept designs that can help your UI and branding.

What Midjourney does: You provide a text prompt describing an image, and Midjourney’s AI model produces high-quality visuals that often look like professional art or photography. It’s known for its rich, sometimes fantastical imagery and a variety of styles. 

For UX/UI designers, Midjourney is helpful for:

• Ideation and moodboards. Quickly generate concept art to set the tone for a project. It’s a fast way to explore different aesthetics (modern, playful, minimalist, etc.) and find one that resonates with your project’s theme.
• Creating illustrations and assets. Midjourney can produce custom illustrations for an onboarding screen or an empty state, for example. Many designers also generate hero images for landing pages or marketing materials using Midjourney, getting high-quality visuals without outsourcing work.
• Exploring branding elements. Midjourney can even help brainstorm logos or mascots (with the caveat that AI-generated logos aren’t ready for production without refinement).

Using Midjourney is a bit different than the other tools: it’s accessed primarily through Discord (you join the Midjourney server and interact with a bot using /imagine commands).

Adobe Firefly. Generative AI in the Creative Cloud

Adobe Firefly is Adobe’s suite of generative AI tools, integrated directly into popular design software like Photoshop, Illustrator, and more. For UX/UI designers, Firefly brings design automation features to tasks that used to be manual. Since Adobe acquired Figma, it’s worth keeping an eye on Firefly’s capabilities as they may increasingly blend into interface design workflows.

Main features:

• Generative fill and editing. In Photoshop (which many UI designers use for high-fidelity graphics or photo editing), Firefly introduced Generative Fill - an AI-powered fill/erase function. This lets you select any area of an image and fill it with AI-generated content using a prompt. For example, you can extend the background of an image, remove an object, or add something that wasn’t there (“place a coffee cup on the table”), and Photoshop will create it with realistic detail.
• Text-to-image and effects. Firefly also includes a generative text-to-image tool (currently as a web app and in Photoshop Beta) where you can create images from descriptions, similar to Midjourney. Adobe has also demoed text-based effects, like applying a style to text or vectors (e.g., “make this text look like water”).
• Asset variation and recoloring. For Illustrator users, Firefly offers AI-assisted recoloring and variations. Say you have an icon set or an illustration. Firefly can generate color palette variations or slight style tweaks automatically, giving you options to choose from. In Photoshop, there’s also the ability to generate variations of a selected object.

Now, let's quickly go over the tools again in the form of a TL;DR table:

Other AI tools for designers worth mentioning

Beyond the big names above, there are several other AI-driven tools and assistants that UX/UI designers are using in 2025 in their work:

1. OpenAI or Claude integration

While not a design tool in the traditional sense, both chatbots have become invaluable sidekicks for designers. Conversational AI can generate ideas, help with research, produce written content on demand, and handle nuanced discussions and long documents. 

It’s also great for analyzing qualitative data - you can feed it a user research transcript and ask for insights or have it draft a user journey map summary.

If you require a trusted environment, remember you can integrate OpenAI’s API into your own tools (for example, with help from our Merge devs, who specialize in LLM integration and custom AI solutions in products).

2. Notion AI

Many designers keep their project documentation, content, and notes in Notion. Notion’s built-in AI features can generate summaries, create content, and organize information right inside your notes. UX teams use it to auto-summarize user interview transcripts, generate personas or scenario descriptions, and even draft design docs.

3. Microsoft 365 Copilot

For those in organizations that rely on Microsoft Office, Copilot is bringing AI into Word, PowerPoint, Excel, and more. In a UX context, this means you can quickly generate reports or presentations. Copilot can also analyze Excel data, which might help if you have usage analytics or survey data to crunch for your UX research.

4. DALL·E 3 and other image generators

Apart from Midjourney, OpenAI’s DALL·E (now in its third iteration) is widely used for generating custom images. It’s integrated into Bing and ChatGPT, which means you can use it conveniently through a chat interface.

There are also open-source models (Stable Diffusion and various derivatives) and platforms like Leonardo.ai or Canva’s AI Image Generator that designers tap into for graphics.

How to integrate AI tools into your workflow

To integrate AI tools into your workflow, start by noting which tasks in your design process are tedious or repetitive (resizing assets for different breakpoints, renaming layers, generating dummy content, etc.). There’s likely an AI tool or plugin that can handle those. 

If you work in a team, integrate AI at the team level. This means sharing knowledge and maybe even training custom AI models for your needs. For instance, if your company has a distinct design style, you could fine-tune an image generator on your assets to get on-brand outputs or train an LLM on your product documentation to create a chatbot for internal Q&A. 

Our Merge team specializes in exactly these kinds of integrations. We help teams build custom solutions like connecting an AI model to your design system or automating a proof-of-concept with business data. 

With expertise in LLM integration, proof-of-concepts development, business automation, and more (including speech-to-text and text-to-image pipelines), we can help integrate these AI tools directly into your existing workflows and products.

While not every team has resources for custom development, it’s good to know that if off-the-shelf tools don’t cover a specific need, there are options to build your own AI-driven helper.