Otter.ai
Otter.ai is an AI-powered meeting transcription tool that automatically records, transcribes, and summarizes meetings from Zoom, Microsoft Teams, and Google Meet.

An AI notepad for meetings that enhances your own notes instead of sending a bot.
A refreshingly different notetaker — no meeting bot, it quietly transcribes in the background and turns your rough notes into clean summaries. A favorite of founders and execs.

Granola is an AI meeting notepad that transcribes calls locally (no bot joins the meeting) and combines the transcript with your own typed notes to produce clean, structured summaries.
Granola is an AI notetaker that takes a different approach from Fireflies or Otter: no bot joins your call. Instead, it captures audio in the background on your machine, and — crucially — blends the transcript with the rough notes you jot during the meeting to produce a polished, structured summary in your own voice. That combination makes its notes feel less generic and more useful. It's become popular with founders, executives, and consultants who take a lot of meetings. There's a free tier with a monthly meeting limit, and paid plans for unlimited use and team features.
Granola is an AI meeting-notes application that listens to conversations and combines the transcript with the user's own typed notes to produce a clean, enhanced summary. It runs primarily as a desktop app that captures audio locally without adding a bot to the call. It targets professionals and teams who want searchable, structured records of meetings. In 2026 it expanded from a personal notetaker toward a shared enterprise knowledge and context layer.
Granola is developed by Granola (Automated Ink Ltd.), a startup founded by Chris Pedregal and Sam Stephenson. The product focuses on augmenting rather than replacing human note-taking, blending live transcription with the notes a user jots down during a meeting.\n\nThe company has grown quickly since its public launch, adding collaboration features, integrations and enterprise capabilities as it moved from an individual productivity tool toward a team knowledge platform.
Granola transcribes meetings via system audio capture on the desktop, then uses AI to expand sparse notes into a structured summary using the full transcript for context. It supports templates for different meeting types, AI chat to query notes, and the ability to search across past meetings.\n\nLater additions include shared folders and collaborative notes, integrations with tools such as Notion, HubSpot, Slack and Zapier, and enterprise features for security and administration. It works across common video-conferencing platforms without joining as a visible bot.
Granola targets founders, sales professionals, consultants, product managers, recruiters and other knowledge workers who attend frequent meetings, as well as teams and enterprises that want a shared, searchable record of conversations and organizational context.
Founders, sales reps, consultants, recruiters and product managers who take notes in back-to-back meetings.
Team leads, revenue operations and IT or procurement leaders purchasing Business or Enterprise seats.
Early-adopter individual users, sales and productivity communities, and internal champions who spread the tool bottom-up.
Meeting-heavy professionals and teams who want AI-enhanced, searchable notes without a visible meeting bot.
Granola raised a seed round and then a $20M Series A led by Lightspeed. In May 2025 it raised a $43M Series B at a roughly $250M valuation, led by NFDG (Nat Friedman and Daniel Gross). In March 2026 it raised a $125M Series C at a $1.5B valuation, led by Index Ventures with participation from Kleiner Perkins, Lightspeed, Spark and NFDG.
Yes, there's a free tier with a monthly meeting limit; paid plans (from about $18/month) add unlimited use and team features.
No bot joins your meeting — Granola records in the background and merges the transcript with your own notes.
People who take lots of meetings and want clean, personalized notes without a bot in the call.
Side-by-side pages for pricing, features, and best-fit use cases.
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