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Best AI for Meeting Notes in 2026

Auto-record and summarize meeting discussions. These are the top-rated tools, ranked by real user reviews and hands-on testing.

#1: Figma AINo reviews yetFree

Figma AI brings machine learning capabilities natively into the world's most popular collaborative design tool, eliminating the need to bounce between Figma and external AI services. The First Draft feature generates complete UI layouts from text prompts β€” describe a pricing page or a mobile onboarding flow, and Figma AI produces editable components using your existing design system tokens. Unlike image generators that output flat rasters, every element Figma AI creates is a real auto-layout frame with proper constraints, ready for production handoff. The Visual Search feature lets designers find assets across thousands of files by describing what they need in natural language rather than remembering exact file names. AI-powered rename bulk-renames layers following your team's naming conventions, turning 'Frame 437' into 'hero-section/cta-button' in seconds. The Remove Background tool works directly on the canvas without exporting to third-party services, and the AI-assisted prototyping can suggest interaction flows based on screen context. Figma AI respects your design system variables, so generated components match your brand's typography, spacing, and color tokens. For teams already embedded in Figma's ecosystem, these AI features integrate seamlessly into existing workflows rather than adding another tool to the stack. The features are rolling out progressively across Figma's plan tiers.

Pros: Integrated directly into core design and whiteboard workflows, Supports multi-model AI generation for images and site building
Cons: Advanced AI capabilities are gated behind specific paid plan tiers, Generating complex UI structures often requires significant manual refinement
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#2: Otter for EducationNo reviews yetFree

Otter for Education adapts Otter.ai's meeting transcription technology specifically for academic environments, providing real-time lecture transcription, automated note-taking, and study assistance tools for students and faculty. The platform captures live lectures, seminars, and office hours with speaker identification, generating searchable transcripts that students can review, highlight, and annotate after class. Professors can share Otter transcripts alongside their lecture slides, creating a comprehensive study resource that captures everything said during class, not just what appeared on screen. The AI-generated summary feature condenses hour-long lectures into key takeaways and important concepts, perfect for exam review. Students with learning disabilities benefit significantly from the real-time captions displayed during live lectures, improving accessibility for hearing-impaired and ESL students. The platform integrates with learning management systems like Canvas and Blackboard, automatically organizing transcripts by course. Study groups can collaboratively annotate transcripts, adding comments and questions at specific timestamps. Otter for Education offers institutional pricing for universities, with unlimited transcription for enrolled students and faculty. The vocabulary customization feature lets professors add domain-specific terminology so the AI accurately transcribes specialized terms in fields like medicine, law, or engineering. While excellent for lecture-based courses, the tool is less useful for lab sessions, studio courses, or highly interactive seminar formats where multiple people speak simultaneously.

Pros: Real-time captions dramatically improve accessibility for hearing-impaired students, Custom vocabulary feature accurately transcribes specialized academic terminology
Cons: Transcript accuracy drops in large lecture halls with poor acoustics, Less useful for lab, studio, or highly interactive class formats
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#3: ClickUp AINo reviews yetFree

ClickUp is a comprehensive productivity platform that replaces fragmented software by centralizing tasks, docs, chat, goals, and project management in a single workspace. The platform features 'ClickUp Brain,' an AI ecosystem that provides role-specific assistance, automations, and intelligent agents. Users can utilize AI for writing, summarizing documents, generating standup updates, and extracting action items. A core differentiator is the introduction of 'Super Agents'β€”custom AI teammates capable of performing specific workflows like managing task assignments, tracking deliverables, and providing ambient answers to team queries. The platform integrates with 50+ apps to create a unified search experience and leverages context across the entire workspace to ensure AI outputs remain relevant. ClickUp supports complex projects through visual tools like whiteboards, mind maps, and gantt charts, alongside robust automation capabilities. With native time tracking, goal management, and extensive integrations, ClickUp is designed for teams looking to consolidate their tech stack while accelerating execution through integrated AI agents.

Pros: Deeply integrated AI agents that act on project data directly, Powerful all-in-one consolidation replaces multiple specialized SaaS tools
Cons: High level of complexity and feature density requires significant team onboarding, The most advanced features (Super Agents) require higher-tier AI add-on pricing
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#4: TaskadeNo reviews yet$6/mo

Taskade is a unified workspace that combines task management, note-taking, mind mapping, and video chat into a single platform enhanced by AI agents. The AI features permeate every aspect of the tool: you can generate project outlines, break down tasks into subtasks, create mind maps, and write content using AI prompts within any workspace. What makes Taskade distinctive is its multi-view approach β€” the same content can be viewed as a list, board, calendar, mind map, or org chart, and switching between views is instant. The AI agent system allows you to create custom AI bots for specific workflows, such as a research agent that gathers information on a topic or a project planning agent that creates structured work breakdowns. These agents can be shared with team members and embedded into workspace templates. Real-time collaboration includes built-in video chat, allowing teams to discuss tasks while looking at the same workspace. The template gallery offers hundreds of pre-built project structures across categories like marketing, engineering, product management, and personal productivity. Taskade's pricing is competitive, with a free tier that includes basic AI features and a Pro plan starting at $8/month per user. The platform works across web, desktop, and mobile apps with offline support. For small teams wanting an all-in-one alternative to using Notion plus Trello plus Zoom, Taskade consolidates these functions with AI enhancement throughout.

Pros: All-in-one workspace eliminates switching between multiple tools, Custom AI agents can automate specific team workflows
Cons: Jack-of-all-trades approach means each feature is less deep than specialized tools, Mind map view can become unwieldy with large projects
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#5: Mem.aiNo reviews yet$null/mo

Mem.ai is an AI-first note-taking application that eliminates the need for manual organization by automatically connecting and surfacing related notes using AI. Unlike traditional note apps that require folder hierarchies or tagging systems, Mem uses a temporal stream where you capture notes quickly and let the AI handle organization. The knowledge graph continuously analyzes your notes, identifying connections between ideas, people, and projects without you ever creating a link. When you write about a client meeting, Mem automatically surfaces your previous notes about that client, relevant project context, and related action items. The AI chat feature lets you query your notes conversationally β€” ask 'What did Sarah say about the Q3 budget?' and Mem searches across your entire knowledge base to find the answer. Smart Write generates new content based on your existing notes, useful for drafting follow-up emails or synthesizing research. Collections provide lightweight organization when you need it, but the core philosophy is that AI should handle the filing so you can focus on thinking. The timeline view makes it easy to find notes chronologically when you remember roughly when you wrote something. Mem works best for professionals who take lots of unstructured notes β€” meeting notes, ideas, research snippets β€” and need to retrieve them contextually rather than by filename. The free tier is limited, and the full AI experience requires the paid plan at $15/month.

Pros: Heads Up feature surfaces related context automatically without manual linking, Flexible capture methods including voice, web extension, and messaging
Cons: Pricing is not transparently displayed, requiring a login to access, Lacks relational databases common in project management-focused tools
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#6: Fireflies.aiNo reviews yetFree

Fireflies.ai is an AI-powered meeting intelligence platform that goes beyond basic transcription to deliver conversation analytics and team collaboration features. It integrates with over 50 video conferencing, dialers, and CRM platforms, automatically recording and transcribing meetings across Zoom, Teams, Google Meet, Webex, and phone calls. What sets Fireflies apart is its conversation intelligence layer: the platform tracks talk-to-listen ratios, identifies sentiment, flags questions asked during meetings, and surfaces topics discussed across your organization's calls. The AskFred chatbot lets you query your entire meeting history using natural language, such as asking which prospects mentioned a competitor's name or what action items were assigned last quarter. Custom topic trackers enable sales and support teams to monitor keywords like pricing objections or feature requests across every customer interaction. Fireflies organizes recordings into channels that mirror your team structure, making it easy for departments to share relevant meetings. The soundbite feature lets users clip key moments and share them as short audio or video snippets. Privacy controls allow admins to set recording policies and redact sensitive information from transcripts. While the interface can feel cluttered with its many analytics dashboards, Fireflies delivers the deepest meeting intelligence in the category for teams that want data-driven insights from their conversations.

Pros: Comprehensive meeting intelligence with sentiment analysis and talk-time tracking, AskFred AI assistant allows for natural language search across historical meeting transcripts
Cons: Free tier is restricted to 800 minutes of storage per seat, Advanced conversation intelligence and team analytics require a Business plan
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#7: Otter.aiNo reviews yet$8.33/mo

Otter.ai is a specialized AI meeting assistant that captures, transcribes, and summarizes conversations in real time. It connects directly to Zoom, Google Meet, and Microsoft Teams, automatically joining scheduled meetings as a bot participant called OtterPilot. During the call, Otter generates a live transcript with speaker identification, allowing latecomers to catch up instantly. After the meeting ends, it produces an automated summary with key takeaways, action items assigned to specific participants, and a searchable transcript. The platform excels at speaker attribution, distinguishing between multiple voices with impressive accuracy even in group settings. Teams can comment on specific moments in the transcript, tag colleagues, and share notes without manual editing. Otter's workspace features let organizations build a searchable archive of every meeting, making institutional knowledge easy to retrieve months later. The free tier offers 300 minutes of transcription per month, which is generous enough for individual professionals. Sales teams particularly benefit from the CRM integration that pushes meeting insights directly into Salesforce or HubSpot. Where Otter falls short is non-English language support, which remains limited compared to competitors. For English-speaking teams drowning in meetings, Otter.ai transforms passive listening into structured, actionable documentation.

Pros: Generous free tier with 300 monthly transcription minutes, Integrates with Zoom, Microsoft Teams, and Google Meet
Cons: Transcript language support is strictly limited to English, French, and Spanish, OtterPilot bot joining meetings can feel intrusive or distract participants
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#8: Notion AINo reviews yetFree

Notion AI integrates artificial intelligence directly into the Notion workspace, transforming how teams organize information and create content. Unlike standalone AI writing tools, Notion AI operates within your existing knowledge base, allowing it to reference your wiki pages, project docs, and meeting notes when generating responses. The Q&A feature lets you ask questions about your entire workspace and get instant answers with source citations. You can draft blog posts, summarize lengthy documents, extract action items from meeting notes, and translate content into multiple languages without leaving your workflow. The AI autofill feature automatically populates database properties based on page content, saving hours of manual data entry. Notion AI also offers writing assistance for brainstorming, editing tone, fixing grammar, and simplifying complex language. Its tight integration with Notion's databases, kanban boards, and collaborative docs means AI suggestions flow naturally into your team's existing processes. The tool works across all Notion plan tiers as an add-on, making it accessible to individual users and large enterprises alike. For teams already embedded in the Notion ecosystem, the AI add-on eliminates context-switching between separate AI tools and your project management system.

Pros: Connects across multiple third-party apps via Enterprise search, Model-agnostic architecture allows switching between different AI providers
Cons: AI features are gated behind specific paid tiers rather than available on all plans, Advanced functionality like Custom Agents is limited to higher-tier business plans
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#9: Pieces for DevelopersNo reviews yetFree

Pieces for Developers is an AI-enhanced productivity tool designed to capture, organize, and reuse the code snippets, links, screenshots, and context that developers encounter throughout their workday. It acts as a personal knowledge base that automatically enriches saved materials with metadata like related tags, descriptions, programming language detection, and the context in which you found them. The standout feature is its Long-Term Memory engine, which tracks your workflow across your IDE, browser, and collaboration tools to recall what you were working on, when, and why. You can ask the Pieces copilot questions like "what was that API endpoint I used last Tuesday?" and it retrieves the relevant snippet with surrounding context. The tool runs primarily on-device with a local LLM option, meaning your code snippets and workflow data never have to leave your machine. Pieces integrates with VS Code, JetBrains IDEs, Chrome, Edge, Teams, Slack, and other developer tools through plugins that make saving and retrieving snippets frictionless. Its snippet transformation features let you convert code between languages, add documentation, generate tests, and refactor saved snippets using AI. For teams, Pieces allows shared snippet collections with access controls. The desktop app is free for individual use, with team features available on paid plans.

Pros: Unique workflow memory feature recalls past coding context, On-device processing keeps sensitive code private
Cons: Workflow memory requires running background processes, Niche use case, not a replacement for a general coding assistant
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#10: Loom AINo reviews yet$18/mo

Loom AI enhances the popular async video messaging platform with artificial intelligence features that make video communication more efficient for distributed teams. After recording a screen share or camera video, Loom AI automatically generates a title, summary, chapters, and a complete transcript. The AI composes the message that accompanies the video, pulling out key points so recipients can decide whether to watch the full recording or skim the summary. Auto-generated chapters with timestamps let viewers jump to specific sections, turning five-minute recordings into scannable content. The filler word removal feature automatically edits out ums, ahs, and awkward pauses, making informal recordings sound polished without manual editing. Loom AI also generates action items and tasks from the video content, which can be assigned to team members directly. The platform integrates with Slack, Notion, Jira, and Linear, allowing video summaries to flow into existing workflows. For teams that replaced many meetings with Loom recordings, the AI features solve the growing problem of video overload by making each recording as easy to consume as a written document. The viewer engagement analytics show exactly when viewers drop off, helping creators improve their communication. Loom's acquisition by Atlassian has deepened its integration with Jira and Confluence, making it particularly strong for engineering and product teams already in the Atlassian ecosystem.

Pros: Comprehensive suite of async video features including screen and camera recording, Seamless integration with Atlassian stack (Jira, Confluence) and other workplace tools
Cons: AI-specific features like meeting recaps and filler removal require the Business + AI plan, Entry-level Business plan is significantly more expensive than basic screen recording alternatives
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#11: Obviously AINo reviews yet$50/mo

Zams (formerly Obviously AI) provides purpose-built, always-on AI workers designed to automate revenue operations and eliminate manual administrative tasks. The platform connects directly to existing tools like CRMs, calendars, and email clients to execute workflows without requiring manual intervention. Key AI workers include 'Evan' for deep meeting intelligence and brief preparation, 'Atlas' for natural language CRM management, and 'Nico' for real-time account monitoring and signal detection. Unlike broad automation platforms, Zams focuses specifically on revenue-generating activities by analyzing internal data and external signals to surface insights, update records, and provide actionable sales intelligence directly in Slack or email. The platform prioritizes enterprise-grade security, explicitly stating that customer data is never used to train their models. Zams is intended for sales reps, revenue teams, and operations managers who want to reduce time spent on data entry and research while improving their pipeline efficiency. Custom worker solutions are also available for organizations needing specialized integrations tailored to unique internal stacks.

Pros: Purpose-built workers automate specific revenue tasks rather than general AI workflows, Reduces manual CRM data entry and administrative overhead for sales reps
Cons: Pricing model is per-user/per-worker, which can scale quickly for large teams, Several featured AI workers are currently waitlisted rather than generally available
Get started with Obviously AI β†’
#12: ChatGPTNo reviews yetFree

ChatGPT is an AI assistant by OpenAI offering tiered access to models ranging from GPT-5.3 to GPT-5.4. Designed for individuals and teams, it facilitates tasks through features like real-time voice, collaborative canvas editing, deep research, and data analysis. The platform supports diverse workflows with custom GPT creation, task automation, and varied subscription levels, including specialized Business and Enterprise tiers that offer advanced security, administrative controls, and integration with third-party tools like Slack, GitHub, and Google Drive. It is available on web, iOS, and Android.

Pros: Free access tier available for everyday tasks, Business and Enterprise tiers offer SOC 2 Type 2 compliance and SAML SSO
Cons: Pro tier at $200/mo is significantly more expensive than standard individual plans, Business tier requires a minimum of 2 users for subscription
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#13: JetBrains AINo reviews yet$8.33/mo

JetBrains AI is an integrated ecosystem of intelligent tools embedded directly into the JetBrains IDE family and supported environments like VS Code. It combines proprietary models, such as the code-completion-optimized Mellum, with leading third-party LLMs from providers like OpenAI, Anthropic, and Google. The platform offers a range of specialized tools: AI Assistant for context-aware coding, refactoring, and commit generation; Junie, an agentic coding assistant for planning and testing; and specialized integrations like YouTrack for project management and Datalore for data science. Unlike external plugins, these features leverage the IDE's deep structural analysis of your codebase to ensure refactoring and code comprehension are accurate and safe. JetBrains prioritizes developer control and privacy, explicitly stating that user code and data are never used for model training. The platform supports a modular approach, allowing developers to choose their preferred AI model or switch to deeper automation features. It is designed to minimize repetitive tasks, facilitate pair programming via intelligent agents, and provide enterprise-grade security for organizations needing full control over their AI usage and compliance.

Pros: Deep integration with IDE structural analysis for safe refactoring, Privacy-first approach with no code or data used for model training
Cons: Most advanced features require a separate AI subscription, Complexity of managing multiple specialized AI tools within the ecosystem
Get started with JetBrains AI β†’

Frequently Asked Questions

Can AI help with meeting notes?+
Yes, AI tools can significantly assist with meeting notes. The best option is Figma AI, which offers Figma Make text-to-design prompt generation.
What is the best free AI for meeting notes?+
The best free AI for meeting notes is Figma AI. Other free options include Otter for Education, ClickUp AI.
How many AI tools can do meeting notes?+
We've tested and compared 13 AI tools for meeting notes. The top options include Figma AI, Otter for Education, ClickUp AI.
Browse all Note-Taking & Documentation tools β†’