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The best AI meeting assistants of 2026 - Otter.ai, Fireflies.ai, Krisp, Notion AI, Microsoft Copilot and Google Gemini - compared for transcription, summaries and action items.
Published 2026-08-27 · AI Tool Harbor
The notetaker used to be the person who scribbled while everyone else talked. In 2026 that job is a bot. AI meeting assistants join calls, transcribe in real time, and hand you a summary with decisions and owners before you have closed the tab. The field has split between dedicated transcription tools and the AI assistants already living in your docs and office suite. Below are six that cover both camps, so you can match the tool to where your meetings actually happen.
Otter.ai built its name on fast, accurate live transcription, and it remains the default for people who want a searchable record the moment a call ends. It tags speakers, highlights key phrases, and lets you comment inside the transcript so decisions are captured in context. The mobile app means in-person catch-ups get the same treatment as Zoom calls. The free tier covers a useful amount of monthly minutes; heavy users will hit the ceiling and need a paid plan for unlimited recording.
Fireflies.ai records, transcribes and then goes further: it auto-joins your calendar meetings, pushes summaries into Slack, Notion, Salesforce and a dozen other apps, and lets you ask questions of a whole library of past calls. For operations-minded teams that is the killer feature - meetings become queryable knowledge, not forgotten recordings. Setup is light, but the value scales with how many systems you connect, so invest time in the integrations to get the full return.
Krisp attacks the problem one step earlier: noise. Its AI removes background sound and echoes from both sides of a call, so transcripts and recordings come out clean even from a noisy cafe or a shared office. It works as a virtual microphone across most conferencing apps, which means it helps every other tool on this list sound better. It is narrower than a full notetaker, but as a foundational upgrade to call quality it earns its place in the stack.
Notion AI turns meeting notes into structured pages inside the workspace your team already uses, which removes the copy-paste step that kills most note-taking habits. It can summarize a recording, draft follow-ups, and pull action items into a tracked list next to your project docs. The strength is continuity: context from past meetings sits one click from the current one. It is less of a standalone transcription engine and more of a thinking layer on top of your knowledge base.
Microsoft Copilot is the choice for teams anchored in Teams and the Microsoft 365 suite. It summarizes meetings, lists who said what, and drafts follow-ups you can drop straight into Outlook orLoop. Because it reads your email and files too, it can answer 'what did we decide about the budget' across both the call and your inbox. The catch is ecosystem lock-in - the experience is richest inside Microsoft 365, and thinner elsewhere.
Google Gemini brings live summarization and 'ask about this meeting' directly into Google Meet, so Workspace users get notes without leaving the call. It captures action items, recaps discussions, and feeds them into Docs and Gmail for follow-through. Like Copilot, its advantage is depth inside its own ecosystem and weaker utility outside it. For teams already living in Google Workspace, the zero-setup convenience is hard to beat.
Start with where your meetings already live: Workspace teams get Gemini for free with Meet, Microsoft shops get Copilot with 365, and Notion users should lean on Notion AI. If you need vendor-neutral transcription across every platform, Otter.ai and Fireflies.ai are the safest standalone picks, with Krisp underneath to fix audio. The real metric is whether anyone re-opens the notes - automate the capture, then actually use the summaries.