Google's AI toolkit in 2026: Stitch (UI design), Opal (apps), NotebookLM, Gemini Canvas, and more. Features, pricing, and use cases.

Google AI Tools in 2026: The Complete Guide

Google has rapidly expanded its AI toolkit throughout 2026, offering an impressive suite of tools that span creative design, development, research, and marketing. Whether you’re a developer looking to prototype UIs, a researcher organizing complex information, or a marketer creating brand-consistent content, Google has an AI tool for you.

This guide covers the eight most impactful Google AI tools available today.

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Google Stitch

What it is: An AI-powered UI design tool that transforms prompts and images into complete interface designs with production-ready code.

Key features:

• Generate mobile and web app interfaces from natural language descriptions
• Convert sketches, wireframes, or screenshots into high-fidelity digital designs
• Export directly to Figma or as clean HTML/CSS/React code
• Built on Gemini 2.5 Pro for multimodal understanding

Best for: Designers and developers who want to rapidly prototype interfaces without manually creating each element pixel by pixel.

Origin: Google acquired Galileo AI in May 2026 and rebranded it as Stitch, integrating it into Google Labs.

Pricing: Free during the Google Labs experimental phase

Try it: stitch.withgoogle.com

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Google Opal

What it is: A no-code AI app builder that lets anyone create interactive applications using natural language and visual workflows.

Key features:

• Build AI mini-apps by chaining together prompts, models, and tools
• Visual workflow editor combined with natural language processing
• Powered by Google’s Gemini, Imagen, and Veo 3 models
• Real-time error displays and debugging tools (added November 2026)
• Integration with Gemini app for creating custom Gems

Best for: Business users, educators, and makers who want to build AI-powered tools quickly without writing code.

What is “vibe coding”? Opal employs a design paradigm that focuses on natural language interactions rather than formal syntax. Users express the intention of their program rather than constructing logic manually.

Availability: Available in over 160 countries, completely free during beta

Try it: opal.google

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Google AI Studio

What it is: A web-based integrated development environment for prototyping applications using Google’s generative AI models.

Key features:

• Unified Playground: Work with Gemini, GenMedia (Veo 3.1), text-to-speech, and Live models in one continuous flow
• Logs and Datasets: Track API calls and debug workflows with built-in observability tools
• Real-time Streaming: Share your desktop or camera for live analysis with LLMs
• Code Execution: Sandboxed Python environment for running code
• Grounding: Connect to Google Search for current information
• Saved System Instructions: Create and reuse prompt templates across chats

Best for: Developers building applications with Gemini models who need a comprehensive prototyping environment.

Pricing: Free to use. The underlying Gemini API has a free tier — but note that on April 1, 2026 Google removed Pro models from free access (Gemini 3.x Pro is now paid-only). Free tier today: Gemini 2.5 Pro, 2.5 Flash, and 2.5 Flash-Lite, with rate limits of 5-15 RPM and 100-1,000 RPD across the models, capped at 250,000 tokens/min total.

Quick start with the Gemini API (Python):

import os
from google import genai

# Set GEMINI_API_KEY in your environment, get one free at aistudio.google.com.
client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])

response = client.models.generate_content(
    model="gemini-2.5-flash",  # free-tier model, ~15 RPM
    contents="Summarize the differences between Gemini 2.5 Pro and 2.5 Flash.",
)
print(response.text)

Streaming version:

stream = client.models.generate_content_stream(
    model="gemini-2.5-flash",
    contents="Walk me through a LangGraph supervisor pattern in Python.",
)
for chunk in stream:
    print(chunk.text, end="", flush=True)

Try it: aistudio.google.com

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Google Nano Banana Pro

What it is: Google DeepMind’s state-of-the-art image generation and editing model built on Gemini 3 Pro.

Key features:

• Generate and edit images up to 4K resolution
• Upload up to 14 reference images for style consistency (logos, color palettes, character sheets)
• Advanced text rendering in images
• Create infographics, diagrams, and product mockups
• SynthID invisible watermarking for AI-generated content identification

Best for: Creative teams, designers, and anyone needing high-quality AI image generation with precise brand control.

Predecessor: Nano Banana (built on Gemini 2.5 Flash) focused on casual creators restoring photos and generating figurines.

Enterprise integrations: Available through Vertex AI, Google Workspace, and Gemini Enterprise. Partners include Adobe, Figma, and Canva.

Access: Available in the Gemini app by selecting “Create images” with the “Thinking” model

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Google NotebookLM

What it is: An AI-powered research and note-taking tool that transforms your documents into interactive knowledge bases.

Key features:

• Now powered by Gemini 3 with improved reasoning and multimodal understanding
• Audio Overviews: Turn documents into podcast-style discussions with AI hosts (80+ languages)
• Video Overviews: Transform summaries into slide-style videos with AI narration
• Data Tables: Synthesize sources into structured tables exportable to Google Sheets
• Mind Maps: Navigate complex topics with interactive visualizations
• Infographics & Slide Decks: Visualize source material (powered by Nano Banana Pro)
• Thinking UX: See NotebookLM’s reasoning process in real-time

Best for: Researchers, students, and professionals who need to synthesize large amounts of information.

Capacity:

• Free: Up to 50 sources (500,000 words each)
• Plus: Up to 300 sources

Premium tiers:

• NotebookLM Plus: Included in Google One AI Premium
• Google AI Ultra for Business: Highest-tier access for organizations

Try it: notebooklm.google.com

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Google Pomelli

What it is: An AI-powered marketing automation tool that generates brand-consistent social media campaigns from your website.

Key features:

• Automatically extract brand identity (“Business DNA”) from your website URL
• Analyze colors, fonts, tone of voice, and existing imagery
• Generate Instagram posts, Facebook ads, and email banners
• Edit generated content using natural language commands

How it works:

1. Enter your website URL
2. AI analyzes and creates a Business DNA profile
3. Generate and customize brand-consistent content

Best for: Small-to-medium businesses without in-house design resources who need scalable social media content.

Limitations: If your website lacks clear brand identity, results may be generic. As a Labs experiment, long-term availability isn’t guaranteed.

Availability: Free beta in US, Canada, Australia, and New Zealand (English only)

Try it: labs.google.com/pomelli

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Google Gemini Canvas

What it is: An interactive collaborative space within Gemini for creating, refining, and sharing documents, code, and multimedia.

Key features:

• Document & Code Creation: Write, edit, and refine with real-time AI assistance
• Vibe Coding: Transform ideas into working prototypes for web apps, Python scripts, and games
• Web Page Generation: Create pages with information cards, charts, and interactive elements
• Infographics: Organize complex information into digestible visual formats
• Interactive Quizzes: Generate multiple-choice and true-or-false quizzes with instant feedback
• Presentation Generation: Create complete slide decks from prompts or uploaded documents (Pro feature)
• Audio Overview: Transform documents into podcast-style discussions (45 languages)

Model access:

• All users: Canvas access
• Pro/Ultra subscribers: Gemini 3 with 1 million token context window

Try it: gemini.google/overview/canvas

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Google Code Wiki

What it is: An AI-powered documentation platform that automatically generates and maintains interactive wikis for code repositories.

Key features:

• Connect any public GitHub repository and generate comprehensive documentation automatically
• Self-updating wikis that regenerate after every commit
• Architecture diagrams, class diagrams, and sequence diagrams that evolve with your code
• Chat-based Q&A powered by Gemini using your repository’s documentation as context
• Deep dives into specific modules, functions, and code patterns

Best for: Development teams who want to onboard new contributors faster and maintain up-to-date documentation without manual effort.

Origin: Originally launched as Auto Wiki in January 2024, the product was rebuilt by the same team and relaunched as part of Google.

Coming soon: A Gemini CLI extension for running Code Wiki locally on internal repositories (waitlist open).

Note: AI-generated documentation should be verified—Code Wiki includes the disclaimer: “Gemini can make mistakes, so double-check it.”

Try it: codewiki.google

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Choosing the Right Tool

Tool	Best For	Primary Use Case
Stitch	Designers, Developers	UI prototyping & code generation
Opal	Non-coders, Business Users	Building AI mini-apps
AI Studio	Developers	Gemini API prototyping
Nano Banana Pro	Creatives, Marketers	Image generation & editing
NotebookLM	Researchers, Students	Document synthesis & analysis
Pomelli	SMB Marketers	Social media content creation
Gemini Canvas	Everyone	Collaborative creation & coding
Code Wiki	Development Teams	Automated code documentation

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The Google AI Ecosystem

What makes Google’s 2026 AI toolkit particularly powerful is how these tools interconnect:

• Nano Banana Pro powers image generation in NotebookLM’s infographics feature
• Opal integrates with Gemini through custom Gems
• AI Studio provides the development foundation for building on all Gemini models
• Gemini Canvas serves as the collaborative layer across creation workflows

Most of these tools remain free during their experimental phases, making 2026 an excellent time to explore Google’s AI capabilities.

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Getting Started

1. For rapid prototyping: Start with Stitch or Opal depending on whether you need UI design or functional apps
2. For research: NotebookLM is unmatched for synthesizing documents into actionable insights
3. For development: AI Studio provides the most comprehensive Gemini API access
4. For code documentation: Code Wiki generates and maintains wikis for your repositories automatically
5. For marketing: Pomelli automates brand-consistent content creation
6. For everything else: Gemini Canvas offers a flexible space for creation and collaboration

Google’s AI tools continue to evolve rapidly, with new features shipping monthly. Keep an eye on the Google Labs experiments page for the latest additions to this growing ecosystem.