AI tools for designers

Text-to-image, generative fill/expand, text effects and (increasingly) vector and video generation, trained on licensed/Adobe Stock content marketed as commercially safe.

Generate or extend imagery directly inside Photoshop/Illustrator; produce on-brand visuals and backgrounds without leaving the Adobe stack. Strong choice for client work where training-data provenance matters.

Produces strikingly stylised, art-directed images from text prompts; strong for moodboards, concept art and visual exploration.

Rapid concepting and moodboarding early in a project. Check licensing/usage terms before using output in commercial deliverables.

Generates natural-sounding speech in many languages and voices, plus voice cloning, dubbing and audio for products and prototypes.

Add realistic voiceover to prototype demos, generate UX voice/IVR content, or test voice-interface flows without a studio. Get consent before cloning any real voice.

Automatically detects and removes 'um/uh', stutters, dead air and background noise from podcasts and recorded audio.

Polish recorded user-research sessions, voiceovers or design-process walkthroughs before sharing with stakeholders. Speeds up post-production on any spoken content.

Transcribes recordings and lets you edit media like a doc; includes filler-word removal, AI voices and screen recording.

Turn research calls and demo recordings into clips and highlight reels fast; create narrated walkthroughs of prototypes.

Text/image-to-video generation, video editing, background removal and motion effects powered by generative models.

Create short motion concepts, animated explainers and dynamic backgrounds for pitches and prototypes without a full motion-design pipeline.

Assists with first drafts, layer renaming, content generation, search and (via Figma Make) turning prompts into working designs/prototypes.

Speed up boilerplate (placeholder content, renaming), kickstart layouts, and prototype ideas. Keep a critical eye — AI drafts are starting points, not final design.

Turns text prompts, screenshots or hand sketches into editable UI mockups and multi-screen prototypes.

Very early ideation and stakeholder alignment — get a clickable concept in minutes before investing in high-fidelity Figma work.

Generates production-leaning UI components and pages from prompts or images, exporting React + Tailwind (shadcn/ui) code.

Bridge design and dev: hand engineers a working component, or build functional prototypes that use real code rather than throwaway mockups.

Drafting, summarising, brainstorming, code help, image generation and data analysis through a multimodal assistant.

Synthesise research notes, draft UX copy variations, generate personas/test scripts, and rubber-duck design decisions. Verify factual output.

Long-context reasoning, writing, analysis, coding and document understanding with a focus on safety and helpfulness.

Analyse long research transcripts or specs, draft and critique UX writing, and reason through complex flows. Large context handles big documents well.

Answers questions by searching the web and returning a synthesised response with inline citations.

Faster, source-backed desk research for competitive analysis and domain learning. The citations make it easier to verify before trusting.

Upload sources (docs, PDFs, slides) and ask questions answered *only* from those sources, with citations and audio overviews.

Build a grounded knowledge base from research, specs and reports; query it reliably without the model wandering off-source — a practical example of RAG.

Real-time image generation, enhancement and upscaling with a canvas-style, designer-friendly interface.

Iterate visuals live, upscale assets, and explore variations quickly during concepting.