Granola Review. The First AI Notetaker I've Kept Using.

What Granola Actually Does

Granola is a Mac app that records meetings locally, lets you take shorthand notes in real time, and writes a structured AI summary the second the call ends. No bot joins the meeting. To everyone else on the call, you look like a normal participant taking notes on a laptop.

The trick is that nothing logs in as "Granola.ai" or shows up in the attendee list. The audio capture happens through your system mic, the same way QuickTime would record it. The model writes the recap against your live shorthand plus the audio. The transcript stays available afterward, but the summary is the artifact you keep.

You own the notes panel during the meeting. It's a clean editor on the right side of the window. You can type bullets, paste links, jot a name. The AI uses those notes as anchor points when it builds the summary, which is the entire reason this thing works.

Setup, The First Week

Setup takes three minutes. Download the Mac app from granola.ai, sign in with Google, grant calendar and microphone permissions, and start your next meeting. The first real friction is in your own head, not the product.

There's no extension to install, no Slack bot to authorize, no zaps to wire. If you've ever set up Otter or Fathom you'll laugh at how little Granola asks for upfront.

The first week was rough in a specific way. I had to retrain a muscle. For five years I've taken meeting notes the same way, full sentences in a Bear file, organized by client. With Granola, full sentences are wasted effort. Shorthand wins. "Liam wants Q3 case study by 6/15." "Cost-per-acquisition trending up since pixel migration." "He keeps coming back to attribution." That's it. The model fills in the rest.

By day five I'd cut my note-taking time in half. By day ten I was running back-to-back calls without losing my place. By day thirty I stopped opening Bear during meetings entirely.

What Won Me Over

Three things. The summary builds out from your live notes, so it reflects what you noticed instead of what the model guessed mattered. No bot joins the call, so the room behaves normally. The export is plain markdown, so it pastes anywhere with zero cleanup.

First, the AI summary is anchored to what you actually noticed. I'll repeat this point because nothing else in the category does it right. Otter transcribes everything and tries to guess what mattered. Fathom records video and serves a long recap. Both make decisions on your behalf about which moments to surface. Granola starts with your bullets, sees those as the spine, and builds outward from there.

Second, no bot. I run a lot of sales calls and partner intros. The instant a prospect sees "Fireflies Notetaker has joined the meeting" the energy shifts. People watch their words. With Granola, the meeting feels normal because it is normal. You're a participant taking notes. Nobody asks.

Third, the export is clean. The summary comes out as plain markdown. Copy, paste into Notion, paste into a doc, paste into an email. No weird formatting artifacts. No tables of timestamps. No "want to share this with the team?" upsell modal blocking the copy button. Just text I can move.

The Notes Layer Is The Real Differentiator

The actual differentiator is the notes panel, not the AI. It's a stripped-down editor with maybe six formatting options, which is exactly why the AI output works. It's scratch paper the model reads as context.

The notes panel is not Notion, it's not Bear, it's not Apple Notes. It has just enough formatting to capture the shape of a thought. Bullets, sub-bullets, bold, links. That's basically it. There's no slash menu. There's no cover image. There's no AI-write-for-me button hijacking the textarea. You get a blank page and you type into it.

This sounds dumb. It is not dumb. Every other notes tool I've used either tries to be a database or tries to be a word processor. Granola's notes are neither. They're context for the model. That clarity of purpose is what makes the whole product work.

When the meeting ends and the summary appears, your raw notes stay visible too. Side by side. So you can compare what you wrote against what the AI thought you meant. After a hundred meetings I trust the AI summary about as far as I trust my own scribbles, which is the right amount.

AI Summaries, What's Good, What's Not

Summaries are reliable on sales calls, one-on-ones, status updates, and any meeting with a clear agenda. They're weak on dense technical conversations. They hallucinate roughly twice a month in my use. Read every summary before forwarding it.

The good. For sales calls, partner intros, status updates, weekly one-on-ones, and customer kickoffs, Granola writes a better summary than I would. It catches names I missed. It pulls dollar amounts. It separates decisions from open questions. The structure is consistent every time.

The bad. On technical conversations the summary turns into a list of nouns. "Discussed pixel migration, attribution windows, and conversion modeling." Yes, that happened. Now tell me what we decided. The model loses the why, the so-what, and the dependencies between topics. For engineering reviews I just re-read my own notes.

The ugly. Granola makes things up about twice a month. Not often, but enough that you can't skip the read-through. It once attributed a quote to the wrong person on a five-person call. It once turned "we're not committing to Q4" into "committed to Q4 launch." Both fixes took fifteen seconds because the transcript was right there. Both would have caused real damage if I'd forwarded the summary without reading it. Treat the summary like a junior intern's first pass. Useful starting point, not a finished artifact.

Templates And The Long Game

Granola ships with five or six meeting templates and lets you write your own in plain English. Writing a custom template is one paragraph. After three months you've built a library that's expensive to switch away from, which is how Granola gets sticky.

Out of the box you get a handful of meeting templates. Sales call. One-on-one. Internal sync. Customer feedback. Project kickoff. They work fine for the obvious cases. For anything custom, you write your own.

Writing a template is a paragraph of plain English. "I run a weekly board update. Surface revenue actuals vs plan, the top three risks, hiring status, and any asks for the board." Save. From then on, every meeting tagged with that template gets a summary in that shape. This is the feature that flips Granola from a notetaker into a workflow. I now have templates for client kickoffs, monthly account reviews, founder coffees, agency partner intros, and creative reviews.

The long game here is interesting. The templates are how Granola gets sticky. After three months you've trained the app on your meetings and built a template library that matches how you actually work. Switching to a competitor means rebuilding all of that. Granola knows this. The templates are intentionally easy to write so you'll write a lot of them.

Privacy And Local Audio

Granola captures audio locally on your Mac and never joins the meeting as a bot. The raw audio is not retained by default on consumer plans. The AI summary is still generated through a third-party model, so if your data governance is strict, run the architecture by legal first.

I run a marketing agency (Market Correct). I sit on calls where clients share unannounced product launches, internal hiring plans, churn numbers, and the kind of revenue figures that aren't in any deck. The standard meeting-bot products are a non-starter in that context. Half my clients would terminate the contract if a Fireflies bot showed up uninvited on a partner call.

Granola's posture is different. Audio is captured locally. The summary is generated against the audio and your notes. The raw recording is not retained by default on the consumer plans, and you can choose whether transcripts get stored. For sensitive accounts I keep retention off and copy the summary out to a client folder before closing the window.

This is not a perfect privacy story. The summary still rides through a third-party model to get generated. If you work somewhere with strict data governance, run that by legal before you adopt. For the rest of us, the absence of a visible bot plus the local audio capture is the difference between using an AI notetaker and not using one.

What You Pay And What You Get

Granola has a free tier capped at roughly 25 meetings per month, a Pro plan at $18 per month with no cap, and a Business plan starting around $30 per user per month with workspace features. The free tier is usable for a few weeks of light meetings.

There is no free-trial gotcha. The free tier is actually usable for a few weeks of light meetings. That's how I tested it. I ran twenty calls on free, upgraded once it became clear I was hitting the cap mid-month, and have paid every month since.

Pricing details and current limits live on granola.ai/pricing. The numbers below are accurate as of May 2026 but check the source before quoting them.

How It Stacks Up Against The Rest

Granola is a notes-first product with no visible bot. Otter is transcription-first with a bot. Fathom is video-first. Fireflies is enterprise sales tooling with CRM sync. Tactiq is a free browser extension. Different lanes, different fits.

If "notes-first plus local audio plus no visible bot" sounds like what's missing from your current setup, Granola pays for itself in a week. If you need CRM auto-logging or you want to send timestamped clips to a team, pick from the table above. The category is wide enough that there isn't one right answer.

Where It Still Misses

No Windows. Weak on Microsoft Teams. No real mobile recording. Search across past meetings is functional but worse than Otter or Fireflies. Non-English meetings beyond Spanish degrade noticeably.

The Windows situation. There is no Windows app. Granola is officially Mac-only as of this writing. If your team is split, half of them can't use this product.

The Teams situation. Microsoft Teams support exists, but it feels like a second tier. The audio capture works. The summaries are weaker on Teams than on Zoom or Google Meet in my testing. If Teams is your primary meeting platform, Granola is not yet your tool.

Mobile. There's no real mobile experience. I take maybe one in twenty meetings from my phone, so it doesn't affect me, but for field sales reps or anyone running calls from a car this is a deal-breaker.

Multi-language. English is fine. Spanish is workable. Anything past that and the summaries fall off a cliff. If you run global teams across non-English meetings, test thoroughly before standardizing on it.

Search. Search across past meetings is functional but not great. Finding "that thing the head of growth said about Q3 spend" requires you to remember roughly when the meeting was. Otter and Fireflies both do this better. Granola will get there. They're not there yet.

Who Should Use It

Solo operators and small teams on Mac who run a lot of meetings through Zoom or Google Meet. Founders, account managers, consultants, agency owners. Anyone whose job depends on remembering what was said and turning that into follow-through.

Anyone on Mac who lives in Google Meet or Zoom. Anyone who runs sensitive calls where a visible bot would change the conversation. Anyone who writes their own meeting templates and wants the AI summary to follow that shape.

One more cohort. People who are bad at notes. I am one of them. I would rather argue a point than write it down. Granola lets me argue and capture at the same time, which is the first AI promise from the last three years that actually delivered for me. If you've ever walked out of a meeting and forgotten what you committed to, this product is the patch for that bug.

Who Should Skip It

Anyone on Windows or Linux. Anyone whose primary platform is Microsoft Teams. Anyone running meetings in non-English most of the day. Anyone running a fifty-person sales team that needs CRM sync, dashboards, and admin controls. Pick Fireflies or Gong for that.

Anyone on Windows. Anyone on Linux. Anyone whose company forbids local audio capture. Anyone whose primary platform is Teams. Anyone who needs mobile recording. Anyone who lives in non-English meetings. The product is opinionated and tightly scoped. That's a strength right up until the day your stack changes.