NotebookLM Integrations

Google Docs is an AI-powered online document platform designed to help individuals and teams create, edit, and collaborate on content in real time. The platform includes Gemini AI features that assist users with drafting documents, organizing ideas, refining writing styles, and generating polished content using simple prompts. Google Docs offers collaborative tools such as live editing, comments, version history, document sharing controls, and integrated video meetings to help teams work together efficiently from any location. Users can streamline workflows with templates, smart building blocks, electronic signatures, meeting notes integration, and reusable content snippets for faster document creation. The platform also supports importing and editing popular file formats including Microsoft Word documents and PDFs while maintaining collaborative editing capabilities.

Google AI Plus is a subscription plan that provides expanded access to Google’s advanced AI tools and Gemini-powered features for productivity, creativity, research, and everyday digital tasks. The plan includes enhanced usage limits for the Gemini app, access to video generation tools, Google Flow creative studio credits, Gemini integrations inside Google apps like Gmail and Docs, and expanded NotebookLM capabilities. Google AI Plus is designed to help users create content, conduct research, generate videos, manage workflows, and interact with AI-powered tools more efficiently through Google’s integrated AI ecosystem.

The Gemini Deep Research Agent is an autonomous research system that plans, searches, analyzes, and synthesizes multi-step findings using Gemini 3 Pro. Built for complex, long-running tasks, it performs iterative web searches, evaluates sources, and generates deeply structured, fully cited reports. Developers can run tasks asynchronously with background execution, enabling reliable long-duration workflows without timeouts. The agent also integrates with your own data through File Search, combining public web intelligence with private documents. Real-time streaming delivers progress, intermediate thoughts, and updates for transparent research. Designed for high-value analysis, the agent turns traditional research cycles into automated, repeatable, and scalable intelligence workflows.

Nano Banana Pro is Google DeepMind’s advanced evolution of the original Nano Banana, designed to deliver studio-quality image generation with far greater accuracy, text rendering, and world knowledge. Built on Gemini 3 Pro, it brings improved reasoning capabilities that help users transform ideas into detailed visuals, diagrams, prototypes, and educational content. It produces highly legible multilingual text inside images, making it ideal for posters, logos, storyboards, and international designs. The model can also ground images in real-time information, pulling from Google Search to create infographics for recipes, weather data, or factual explanations. With powerful consistency controls, Nano Banana Pro can blend up to 14 images and maintain recognizable details across multiple people or elements. Its enhanced creative editing tools let users refine lighting, adjust focus, manipulate camera angles, and produce final outputs in up to 4K resolution.

NativeMind is an open source, on-device AI assistant that runs entirely in your browser via Ollama integration, ensuring absolute privacy by never sending data to the cloud. Everything, from model inference to prompt processing, occurs locally, so there’s no syncing, logging, or data leakage. Users can load and switch between powerful open models such as DeepSeek, Qwen, Llama, Gemma, and Mistral instantly, without additional setup, and leverage native browser features for streamlined workflows. NativeMind offers clean, concise webpage summarization; persistent, context-aware chat across multiple tabs; local web search that retrieves and answers queries directly within the page; and immersive, format-preserving translation of entire pages. Built for speed and security, the extension is fully auditable and community-backed, delivering enterprise-grade performance for real-world use cases without vendor lock-in or hidden telemetry.

Gemini Enterprise app is an advanced AI-powered platform that brings Google’s AI capabilities to every employee, enabling organizations to automate workflows, analyze data, and create high-quality content across multiple business functions. It securely connects to tools like Microsoft 365, Google Workspace, HubSpot, and Jira, allowing users to search and interact with their business data using natural language. The platform supports prebuilt agents such as NotebookLM and Deep Research, helping teams quickly extract insights and streamline tasks. It also allows users to build custom no-code agents to automate multi-step workflows across different applications. With centralized management, organizations can deploy and monitor all agents from a single interface. Built-in security and governance features ensure data privacy and compliance with enterprise standards. Overall, Gemini Enterprise app enhances productivity by combining AI automation with secure data integration.

Google AI Pro is an advanced AI subscription plan from Google that provides expanded access to Gemini-powered tools, creative AI capabilities, developer-focused features, and productivity enhancements across Google’s ecosystem. The subscription includes higher usage limits, advanced AI models, Google Flow creative tools, NotebookLM enhancements, Gemini integrations in Google apps, and 5 TB of cloud storage for users who need more powerful AI experiences for work, research, coding, creativity, and daily productivity.

Google AI Ultra is Google’s highest-tier AI subscription plan that provides maximum access to advanced Gemini models, AI-powered creative tools, agentic AI capabilities, developer platforms, and premium productivity features. Designed for power users, developers, creators, and enterprises, the plan includes significantly higher usage limits, Gemini Spark access, Project Genie, premium Google Flow credits, advanced coding tools, and cloud storage starting at 20 TB across Google services.

Gemini Image Pro is a high-capability, multimodal image-generation and editing system that enables users to create, transform, and refine visuals through natural-language prompts or by combining multiple input images, with support for consistent character and object appearance across edits, precise local transformations (such as background blur, object removal, style transfers or pose changes), and native world-knowledge understanding to ensure context-aware outcomes. It supports multi-image fusion, merging several photo inputs into a cohesive new image, and emphasizes design workflow features such as template-based outputs, brand-asset consistency, and repeated character/person-style appearances across scenes. It includes digital watermarking to tag AI-generated imagery and is available through the Gemini API, Google AI Studio, and Gemini Enterprise Agent Platform.

Kortex is a browser extension that turns Google’s NotebookLM into an interconnected, dynamic knowledge base, helping users stop losing ideas by capturing and organizing valuable insights that would otherwise remain trapped in chat histories and scattered tabs. It lets you archive full AI conversations from services like ChatGPT, Gemini, Claude, and Perplexity with one click and save any highlighted text on a webpage as a perfectly cited source directly to NotebookLM. Kortex also offers effortless exporting of sources, chats, or curated notes into Markdown, JSON, or a downloadable .zip file, and integrates with Google Docs so you can send documents to NotebookLM with a single click. For notebook management, Kortex enables bulk deletion of multiple notebooks from the dashboard at once. Designed to help users find anything they’ve saved and never lose an insight again, Kortex installs in seconds and supports thousands of users building their own “second brain”.

Nano Banana is Gemini’s fast, accessible image-creation model designed for quick, playful, and casual creativity. It lets users blend photos, maintain character consistency, and make small local edits with ease. The tool is perfect for transforming selfies, reimagining pictures with fun themes, or combining two images into one. With its ability to handle stylistic changes, it can turn photos into figurine-style designs, retro portraits, or aesthetic makeovers using simple prompts. Nano Banana makes creative experimentation easy and enjoyable, requiring no advanced skills or complex controls. It’s the ideal starting point for users who want simple, fast, and imaginative image editing inside the Gemini app.

Nano Banana 2 is Google DeepMind’s latest image generation model, combining the advanced capabilities of Nano Banana Pro with the high-speed performance of Gemini Flash. It delivers improved world knowledge, enabling more accurate subject rendering and data-driven visuals grounded in real-time information. The model enhances precision text rendering and translation, making it ideal for marketing assets, infographics, and localized content. Users benefit from stronger instruction following, ensuring complex prompts are captured accurately. Nano Banana 2 supports subject consistency across multiple characters and objects within a single workflow. It offers production-ready output with customizable aspect ratios and resolutions up to 4K. Available across Gemini, Search, AI Studio, Google Cloud, and more, Nano Banana 2 brings high-quality visual generation at lightning-fast speed.

Gemini 3.1 Pro is Google’s upgraded core intelligence model designed for complex tasks that require advanced reasoning. Building on the Gemini 3 series, it delivers significant improvements in problem-solving performance and logical pattern recognition. On the ARC-AGI-2 benchmark, Gemini 3.1 Pro achieved a verified score of 77.1%, more than doubling the reasoning performance of Gemini 3 Pro. The model is engineered for challenges where simple answers are insufficient, enabling deeper analysis, synthesis, and creative output. It can generate practical outputs such as animated, website-ready SVGs directly from text prompts, combining intelligence with real-world usability. Gemini 3.1 Pro is rolling out in preview across consumer, developer, and enterprise platforms including the Gemini app, NotebookLM, Gemini API, Gemini Enterprise Agent Platform, and Android Studio. With expanded access for Google AI Pro and Ultra users, 3.1 Pro sets a stronger baseline for agentic workflows.

Gemini 3.1 Flash Image is Google DeepMind’s latest image generation model, combining advanced Pro-level capabilities with lightning-fast performance. It delivers enhanced world knowledge, enabling more accurate subject rendering and data-informed visuals grounded in real-time information. The model improves precision text rendering and in-image translation, making it well-suited for marketing assets, infographics, and localized creative content. Stronger instruction following ensures complex prompts are executed with clarity and accuracy. Gemini 3.1 Flash Image maintains subject consistency across multiple characters and objects within a single workflow. It supports production-ready outputs with customizable aspect ratios and resolutions up to 4K. Available across Gemini, Search, AI Studio, Google Cloud, and more, it brings high-quality visual generation at Flash-level speed.

Gemini 3.1 Flash-Lite is Google’s fastest and most cost-efficient model in the Gemini 3 series, designed for high-volume developer workloads. It delivers strong performance at scale while maintaining affordability, with pricing set at $0.25 per million input tokens and $1.50 per million output tokens. The model significantly improves speed, offering a 2.5x faster time to first answer token and a 45% increase in output speed compared to Gemini 2.5 Flash. Despite its lower cost tier, it achieves high benchmark results, including an Elo score of 1432 and strong performance across reasoning and multimodal evaluations. Gemini 3.1 Flash-Lite supports adaptive “thinking levels,” allowing developers to control how much reasoning power is used for different tasks. It is suitable for large-scale applications such as translation, content moderation, user interface generation, and simulation building.