The 22 Best AI Meeting Assistants & AI Note Takers for 2026

AI meeting assistants (also called AI meeting note takers) are apps that join your calls to record, transcribe, summarize, and organize action items so you can focus on the conversation. The best AI meeting notetaker for enterprise teams is Fellow, which offers SOC 2 Type II security, bot and botless recording options, and deep integrations with tools like Salesforce, HubSpot, Jira, and Asana.

In 2026, these tools sit at the center of collaboration and productivity stacks for all types of companies and organizations, automating follow-up and connecting meeting outcomes to systems of record.

We know that for large-scale organizations the challenge isn't finding a tool that can record a call; it's finding one that doesn't create a "data silo," and does not compromise security protocols.

This guide evaluates 22 AI meeting assistants through an enterprise lens, focusing on security architecture, integration ecosystems, and operational reliability, not just transcription capabilities. Whether you're a CTO evaluating vendors, an Operations Director optimizing workflows, or a team lead seeking better meeting productivity, you'll find detailed comparisons to inform your decision.

The 22 Best AI Meeting Assistants and Notetakers for 2026

Entries 1–3 are platform-native assistants built into tools you may already use. Entries 4–22 are specialized third-party options.

1. Zoom AI Companion

Zoom's AI companion summarizes meetings, answers in-meeting questions ("Was my name mentioned?"), and drafts follow-up messages in Team Chat. Its "Catch Up" feature gives late arrivals a real-time summary of what they missed. Recordings live in Zoom Cloud, accessible via the Recordings or AI Companion tab.

Best for: Teams already standardized on Zoom who want native, no-extra-setup meeting summaries. Limitation: Works only within Zoom meetings; doesn't provide cross-platform or cross-meeting analysis. Pricing: Included with qualifying Zoom plans.

2. Microsoft Copilot (Teams)

Copilot pulls context from Outlook and SharePoint into your meetings, can surface meeting sentiment, and lists unresolved questions against your emails and files. Strongest for users deeply embedded in Microsoft 365.

Best for: Office 365 organizations that want meeting AI tied directly into their existing Outlook/SharePoint workflow.

Limitation: Integration ecosystem is largely Microsoft-only, and recap depth is limited compared to dedicated meeting-intelligence tools.

Pricing: Requires a Microsoft 365 Copilot add-on license.

3. Google Gemini (Meet)

Gemini for Meet creates a live Google Doc of notes as the meeting happens ("Take notes for me"), offers a "Summary so far" for late joiners, and includes Studio Look/Sound for AI-enhanced video and audio. Notes save directly to the organizer's Google Drive.

Best for: Google Workspace-native teams who want notes to land automatically in Docs.

Limitation: Tied to the Google ecosystem, with limited cross-platform capture (Zoom, Teams, Slack) and no dedicated meeting-governance layer.

Pricing: Included with qualifying Google Workspace plans.

4. Fellow

Fellow is an AI meeting note taker built for organizations where security, compliance, and cross-platform reliability matter, while remaining broadly usable by any team that wants meeting intelligence. It supports both bot-based and botless recording (a native desktop app captures audio locally with no visible participant added to the call), and its "Ask Fellow" feature lets you query your entire meeting history in natural language.

Best for: Mid-market and enterprise teams, including regulated industries like investment banking, legal, and healthtech, where governance, HIPAA compliance, and audit-readiness are part of the requirement, though Fellow is used just as often by teams with no compliance mandate at all.

Fellow was named Wirecutter's top pick for transcribing and summarizing meetings after independent testing against eight competitors.

Security and governance: SOC 2 Type II certified, HIPAA and GDPR compliant, AES-256 encryption, and a strict zero-training policy (customer data is never used to train AI models, on any plan). A workspace-level compliance portal lets admins search, review, flag, and audit any recorded meeting, with AI trackers surfacing concerns like PII early. Configurable retention (including zero-day retention) lets legal and compliance teams delete raw recordings on schedule while keeping AI summaries as a durable record.

Limitations: Botless recording requires the Mac or Windows desktop app, and some advanced CRM integrations are gated to higher-tier plans.

Pricing: Free plan available; paid plans start at $7/user/month (Team, billed annually).

5. Fireflies.ai

Fireflies built its reputation on a deep integration library and "AskFred," an AI search feature for querying meeting transcripts conversationally. It added native botless capture (desktop app, plus native Google Meet recording) in early 2026 alongside its original bot-based join.

Best for: High-volume teams that want meeting notes flowing straight into Slack or Salesforce.

Limitation: Botless capture is newer and narrower in scope than bot-based recording, which remains the default across most platforms.

Pricing: Free plan with limited transcription credits; Pro starts around $10/user/month.

6. Otter.ai

Otter pioneered live transcription that participants can view and annotate mid-conversation, and its OtterPilot handles automated joins and fast live summaries. Otter also added a native device-level recording option alongside its bot join.

Best for: Real-time transcription in workshops, training sessions, and collaborative planning meetings where live annotation adds value.

Limitation: Paid plans cap at 6,000 minutes/month, which can be tight for high meeting-volume organizations.

Pricing: Free plan with 300 minutes/month; Pro is around $16.99/user/month.

7. Fathom

Fathom offers unlimited recording and transcription on its free plan, a rarity in this category, and added native botless capture (Google Meet only, via its desktop app) in 2026.

Best for: Budget-conscious individuals and small teams testing AI meeting tools without a monthly commitment.

Limitation: Botless capture is currently limited to Google Meet; Zoom and Teams still use a visible bot join.

Pricing: Free plan with unlimited recordings; paid plans start around $19/user/month.

8. Avoma

Avoma specializes in sales and revenue workflows, analyzing talk-to-listen ratios and flagging buyer objections, competitor mentions, and deal risk automatically.

Best for: Sales organizations that want conversation intelligence layered on top of meeting recording.

Limitation: The sales-specific focus means less value for product, engineering, or operations teams.

Pricing: Starts around $19/user/month.

9. Gong

Gong functions less as a meeting notetaker and more as a revenue intelligence platform, analyzing deal health and forecasting pipeline from conversation data across a sales org.

Best for: Large sales organizations (typically 50+ sellers) treating conversation data as strategic intelligence.

Limitation: Premium, sales-exclusive pricing makes it impractical for general meeting-intelligence needs.

Pricing: Enterprise-only, typically starting around $1,200+/user annually.

10. tl;dv

tl;dv is known for creating shareable clips from user interviews, making it popular with product managers and UX researchers building customer-insight libraries.

Best for: Product teams running continuous user research who want to tag, clip, and organize interview moments by theme.

Limitation: Less suited to general business meetings or sales calls where clipping isn't the primary workflow.

Pricing: Free plan for individuals; Pro is $20/user/month.

11. Granola

Granola offers bot-free recording as its core feature and deliberately avoids long-term storage of raw recordings.

Best for: startup teams that want lightweight, bot-free capture without an enterprise deployment.

Limitation: The no-storage-by-default approach means audio/video can't be revisited later, which matters for organizations with retention requirements.

Pricing: Free plan available; paid plans start around $14/user/month.

12. Sembly AI

Sembly focuses on generating highly structured, formal meeting minutes, and can generate a meeting report even without a human attendee present.

Best for: Teams that want minutes formatted to a consistent, formal template, such as board or committee meeting recaps.

Limitation: The structured format can feel heavy-handed for casual team meetings, and proxy attendance raises questions some organizations will want to think through before adopting.

Pricing: Free personal plan; Professional starts around $10/user/month.

13. Jamie AI

Jamie runs as a desktop app that listens to system audio directly rather than joining as a call participant, so no bot appears on the invite list.

Best for: Users who want to avoid a bot joining any call.

Limitation: Desktop-only deployment creates friction for distributed or mobile-first teams.

Pricing: Free trial available; paid plans start around $19/month.

14. MeetGeek

MeetGeek automatically identifies key moments (decisions, questions, action items) without manual tagging, and supports a wide range of transcription languages.

Best for: Teams that want automatic moment-extraction without reviewing full transcripts.

Limitation: Free tier is capped at a few hours of transcription per month.

Pricing: Free Basic plan available; paid plans start around $15.99/user/month (verify current tiers before publishing, as pricing structures shift).

15. Krisp AI

Krisp built its reputation on AI noise cancellation and has since expanded into meeting notes and transcription, with noise suppression that runs locally.

Best for: Remote workers in noisy environments, home offices, coworking spaces, or travel, who need clean audio above all else.

Limitation: Meeting-intelligence features are secondary to its core noise-cancellation product.

Pricing: Free plan with limited minutes; Pro is around $8/month.

16. Tactiq

Tactiq runs as a Chrome extension integrating directly with Google Meet, Zoom, and Teams through the browser, with no separate app or bot required.

Best for: Individual users who want minimal setup friction and no IT approval process for basic use.

Limitation: The no-approval-needed browser approach is also something IT and security teams will want visibility into before wider rollout.

Pricing: Free plan for basic transcription; paid plans start around $8/month.

17. Read AI

Read AI layers analytics on top of transcription: participation patterns, talk-time distribution, and engagement across a meeting.

Best for: Managers interested in meeting-culture metrics, such as who's dominating conversations or how engagement varies across a team.

Limitation: The analytics focus adds less value for teams that just want a clean transcript and summary.

Pricing: Free plan available; paid plans start around $19.99/user/month.

18. Notta AI

Notta specializes in multilingual transcription with real-time translation, aimed at international and multilingual meeting participants.

Best for: Global organizations where meeting participants speak different languages and need live translation.

Limitation: Feature depth outside transcription/translation (integrations, governance controls) is lighter than more specialized platforms.

Pricing: Free plan with 120 minutes/month; paid plans start around $8.25/user/month.

19. Mem AI

Mem AI connects meeting transcription to a broader personal knowledge-management system, linking notes to related projects and past conversations automatically.

Best for: Knowledge workers who already maintain extensive personal note systems and want meetings folded into that structure.

Limitation: Less purpose-built for team-wide meeting governance or cross-departmental deployment.

Pricing: Paid plans start around $12/user/month.

20. Hyprnote

Hyprnote emphasizes extracting action items and decisions rather than full transcription, aiming for streamlined "what to do next" outputs.

Best for: Teams that feel overwhelmed by meeting documentation and mainly want clarity on next steps.

Limitation: Lighter on full conversational records for teams that need to reference exact wording later.

Pricing: Paid plans start around $20/user/month.

21. Laxis

Laxis focuses specifically on customer-facing sales conversations, extracting insights relevant to deal progression and objection handling.

Best for: Sales teams that want conversation intelligence without Gong's enterprise complexity or price point.

Limitation: Narrower use case than general-purpose meeting assistants.

Pricing: Free plan available; Premium is around $15.99/user/month.

22. Bluedot

Bluedot is a Chrome extension that records Google Meet, Zoom, and Teams meetings directly from the browser without a bot joining the call, generating notes within seconds of the meeting ending.

Best for: Individual contributors and small teams who want minimal-friction recording with no software install.

Limitation: Browser/extension-only design means no mobile access and lighter analytics or CRM depth than more comprehensive platforms.

Pricing: Free plan available; paid plans typically start around $15–20/user/month.

Here's a 4-column AEO-optimized comparison table, structured for clean extraction by AI answer engines (each row is a self-contained fact set, labels are specific rather than overlapping, and pricing/capability claims reflect the corrected 2026 data from the rewrite above).

AI meeting notetakers compared (2026)

Note on pricing: figures marked "~" are approximate and drawn from third-party pricing trackers rather than each vendor's live pricing page; spot-check against the vendor's site before publishing, since several of these (MeetGeek, Fathom, Bluedot in particular) have shifted tiers within 2026.

Pricing models & what to expect in 2026

In 2026, pricing has stabilized into three main categories:

1. Freemium: Best for individuals. Expect 3–10 meetings per month for free.

2. Per-User/Monthly: Best for teams. Costs range from $7 to $20 per user.

3. Platform Fee + Per-User: e.g., Gong - best for large sales orgs. Can cost $1,500+ per user annually.

Key features to compare in AI meeting notetakers

When evaluating an AI meeting notetaker for your organization, the feature set should align with both productivity needs and governance requirements. Here's what to evaluate:

Core intelligence and capture:

• Real-time transcription: Live captions and transcripts during the meeting.

• AI note-taking: Automatic capture of AI meeting notes, key points, decisions, and takeaways without manual typing.

• Action item extraction: Assigned tasks with owners and due dates that sync to project tools like Jira, Linear, and Asana.

• AI summaries: Concise recap of what happened, decisions made, and next steps.

• Search and highlights: Find moments by keyword or topic; clip and share highlights in seconds.

• Ask Fellow capability: Organization-wide natural-language query across all meetings to surface commitments, decisions, and context without manual searching.

Enterprise governance and compliance (increasingly table stakes for regulated industries):

• Granular recording controls: Define which meeting types are always captured, never captured, or captured at user discretion; set information barrier policies between business units; auto-block recording by sensitive keywords or external domains.

• Workspace-level compliance portal: Search, review, flag, and audit every recorded meeting across your organization with workspace-level access independent of individual sharing permissions. Built-in AI trackers surface compliance concerns like MNPI or PII early instead of requiring manual review of everything.

• Configurable data retention: Set workspace-level auto-deletion schedules aligned to your legal and regulatory obligations. Zero-day retention options allow source recordings and transcripts to be deleted immediately after processing while preserving AI-generated summaries for institutional memory.

• Consent capture and disclosure logging: Automatically log recording notices and consent workflows with timestamps to document compliance with recording-disclosure requirements.

• In-meeting pause/resume and post-meeting redaction: Pause capture when discussions move to sensitive topics (privileged matters, personnel issues, proprietary discussions); any information shared during pause is removed from transcripts. Redact sensitive names, account numbers, NPI, or flagged terms from transcripts before distribution.

• Password-protected meeting recaps: Share meeting summaries securely without exposing full recordings.

• Security certifications: SOC 2 Type II, HIPAA, and GDPR compliant with AES-256 encryption. For financial services, integration with Global Relay and Smarsh for regulatory archiving.

• Zero data-training policy: Never trains AI models on customer notes, transcripts, audio, or summaries on any plan, with no opt-out required. This is a critical differentiator: many competitors train on user data by default and require manual opt-out, while Fellow's approach is to never train regardless of plan.

Platform and integration scope:

• Universal platform coverage: Native integrations with Zoom, Google Meet, Microsoft Teams, Slack huddles, and in-person meetings with speaker diarization for board rooms and client visits.

• Broad ecosystem connectivity: 50+ native integrations plus MCP Server, Developer API, and access to 8,000+ apps via Zapier and n8n.

• Enterprise deployment infrastructure: SSO, SCIM, RBAC, and Super Admin APIs designed for complex org structures.

Language and collaboration insights:

• Language support: Accuracy across accents and languages; many tools now support 50+ languages.

• Collaboration analytics (where relevant): Insights into talk time, sentiment, engagement, and meeting health trends.

Why governance capabilities matter now:

Transcription accuracy is no longer the differentiator between meeting tools. Every major platform produces reliable transcripts. The gap opening up in 2026 is what happens after the meeting ends. For regulated industries like finance, healthcare, and legal, compliance is no longer an afterthought or a bolt-on audit layer. Teams need governance built into the fabric of their meeting platform: centralized recording policies applied across the entire organization, compliance officers able to search and review meetings with workspace-level access, AI-powered flagging of potential violations (MNPI disclosure, PII leakage, undisclosed client conversations), and a fully auditable trail of every review, edit, and redaction decision so the firm has a defensible record in regulatory exams.

Fellow's compliance portal and configurable governance controls are designed specifically for this. Unlike tools that treat compliance as a feature add-on, Fellow applies governance at the workspace level, meaning a compliance team defines the rules once and Fellow enforces them consistently across every team and business unit.

MCP and agentic integrations: the next dividing line

Transcription accuracy is no longer what separates meeting tools. Every major tool on this list can produce a reliable transcript. The gap that is opening up in 2026 is about what happens to that transcript after the meeting ends.

The Model Context Protocol (MCP) is an open standard, developed by Anthropic, that lets AI assistants like Claude, ChatGPT, and others pull data from external tools in real time. For meeting software, it means an AI model can read your meeting notes, decisions, and action items directly, without you copying anything, without a manual export, and without a custom integration.

In practice, it looks like this: your meeting ends, Fellow captures the notes and action items, and Claude or your internal AI agent can immediately query those notes as part of a larger workflow. "What did we decide about the Q3 budget?" becomes a question your AI assistant can answer by pulling from actual meeting records, not from your memory.

This matters because the alternative is a data silo. A meeting tool that stores transcripts in its own walled-off database requires you to manually retrieve information, summarize it again, and paste it into wherever your work actually happens. That friction compounds fast across a team.

Fellow has an MCP server available now, which means Claude and other MCP-compatible AI models can query your Fellow meeting notes, summaries, and action items in real time. It is one of the few tools on this list where an AI agent can both read meeting output and trigger downstream actions through connected integrations like Jira, HubSpot, and Salesforce.

Why platform-native (zoom, copilot, gemini) isn’t always the solution

Based on conversations with Fellow customers, several key challenges emerge with platform-native solutions like Zoom native companion, MS Teams Copilot, and Google Gemini that make them less suitable for enterprise environments:

Integration and workflow limitations

Platform-native AI notetakers often lack the deep integrations and workflow automation that enterprises need. Organizations require solutions that can integrate with their CRM systems (HubSpot, Salesforce), project management tools, automation tools, and existing business processes - capabilities that platform-native solutions typically don't provide at an enterprise level.

Data silos and fragmentation

The most significant issue is data fragmentation. When organizations use multiple meeting platforms, "data silos form when some meetings live in Gemini, others in Loom, and others elsewhere, preventing a unified view of meeting information." This creates scattered intelligence across different systems rather than a centralized knowledge base.

Limited platform coverage

Platform-native solutions only work within their specific ecosystem. Gemini can only record and analyze Google Meet meetings, while Zoom's companion only works with Zoom calls. For enterprises using multiple meeting platforms, this leaves gaps in coverage and creates inconsistent documentation practices.

Insufficient functionality and access

In enterprise evaluations, teams consistently find that platform-native solutions "don't match the level of functionality they need. Those notes typically live in a vacuum. And then how do you get access to them, how do you share them?" The sharing and collaboration features are often limited compared to dedicated AI meeting assistants.

Multi-language and global team challenges

For global enterprises, platform-native solutions struggle with multi-language support. In discussions with an international team, it was noted that only "30-40% of the team is English-based," significantly reducing adoption of platform-native tracking features that are primarily English-focused.

Choosing the best AI meeting notetaker for your team

The AI meeting assistant market will continue evolving rapidly, with improving accuracy, more sophisticated analytics, and deeper automation. However, for mid-to-large enterprises, the criteria for success have shifted toward security, interoperability, and actionability. Relying on native assistants often leads to fragmented data silos and a lack of centralized governance. Organizations that prioritize a unified view of their meeting intelligence are increasingly turning to specialized leaders like Fellow. By offering an "uncompromising" approach to privacy—ensuring no AI model training on customer data—and the flexibility of botless recording, Fellow bridges the gap between executive needs and IT security requirements.

Ultimately, the best AI meeting assistant is the one that fits seamlessly into your existing stack, captures every decision across every platform, and ensures that no action item is ever lost in a transcript again.

Begin your evaluation by defining non-negotiable security requirements, mapping critical integration needs, and understanding whether your organizational culture will accept visible meeting bots or requires botless alternatives. Test finalist tools with actual meeting scenarios across departments to assess real-world performance beyond marketing claims.

Below are the answers to some frequently asked questions about the AI meeting assistant market. Got more questions? Book a personalized call with our team.