• sophia
• September 1, 2026
• No Comments

I spent six weeks putting Otter, Fireflies, Granola, and Notion AI through 84 real meetings, ranging from 12-minute standups to 90-minute client workshops. My laptop was a MacBook Air M3 with 16 GB of RAM, my mic was a Shure MV7+ over USB-C, and my meetings ran across Zoom 5.17, Google Meet, and Microsoft Teams. I did not use a dedicated bot account for every tool, because I wanted to see how each app behaves when a real human is running the call and forgets to hit record.

The four apps in this test cover the practical spectrum in 2026. Otter is the incumbent, Fireflies is the sales-team favourite, Granola is the quiet Mac-native app that keeps showing up in founder Slack channels, and Notion AI is the one your team already pays for inside a Notion workspace. Prices, accuracy rates, and export options all changed between January and August 2026, so this comparison uses the September 2026 pricing pages and my own transcripts, not last year's screenshots.

Why This Comparison Matters in 2026

Meeting-recording tools stopped being about transcription two years ago. Every app can hit 92 to 96 percent word accuracy in clean audio. What actually separates them now is what happens in the 45 seconds after the meeting ends: does the summary correctly attribute a decision to the right person, does it turn "we should probably ping legal" into a real action item, and does it hand the notes to the tool where your team already lives?

The other 2026 shift is privacy. After the wave of AI vendor breaches in 2025, procurement teams at Fortune 1000 companies now ask three questions before approving a meeting bot: where is audio stored, how long is it retained, and can it be routed through a private tenant. Otter, Fireflies, and Notion AI answer differently, and Granola sidesteps most of the question by running the capture layer locally on your Mac.

Otter.ai Pro and Business, Full Review

Otter Pro costs $16.99 per month billed monthly, or $8.33 per month billed annually. Otter Business is $30 per user per month monthly, or $20 per user per month annually. The free plan gives you 300 monthly transcription minutes and caps individual conversations at 30 minutes, which is enough to test but not to actually use.

Accuracy in my test averaged 94.1 percent on native English speakers and dropped to 88.6 percent with strong Indian and Scottish accents on the same call. The OtterPilot bot joins Zoom, Meet, and Teams automatically from your calendar, which worked in 41 of 42 meetings I scheduled. The one miss was a Meet call created from a Slack huddle, which Otter cannot see.

What Otter still does best

Live transcript quality during the meeting is genuinely useful, not a novelty. The web app renders words with about 900 ms lag, which means you can scroll back to check what a coworker said 20 seconds ago without leaving the call. The speaker separation identified 6 of 7 distinct voices correctly across a 63-minute panel, which is the best of the four apps here.

Where Otter falls short

The AI summary is verbose. A 45-minute product sync produced a 610-word recap, and the action items included every "we could look at" as a task. Exports to Notion and Slack work, but the Slack summary posts as a long code block that nobody actually reads. Storage retention on the Pro plan is unlimited but you cannot exclude specific meetings from AI training without upgrading to Business.

Fireflies.ai Pro and Business, Full Review

Fireflies Pro is $18 per user per month monthly, or $10 per user per month annually. Business is $29 per user per month monthly, or $19 per user per month annually. Enterprise is $39 annually with a 3-seat minimum. The free plan offers 800 minutes of storage total, not per month, so it fills up fast.

Accuracy landed at 93.4 percent for me, essentially tied with Otter. Fireflies uses a bot called Fred that joins by calendar link or by pasting a meeting URL into the dashboard. In 42 meetings Fred joined 40 on the first try, missed 1 because of a Zoom waiting room, and joined 1 late because the calendar invite had two conflicting links.

Where Fireflies wins

The AskFred feature lets you query across every past meeting, which is genuinely useful when you need to find "what did the client say about the November launch date" without scrubbing three recordings. My test workspace had 84 meetings indexed, and answers came back in 4 to 7 seconds with source citations linked to the exact timestamp. Integrations with HubSpot, Salesforce, Pipedrive, and Attio are the deepest in the category, which is why sales teams gravitate here.

Where Fireflies frustrates

The default summary template buries decisions inside long bullet clusters, and editing the template requires the Business plan. The bot join notification appears in the meeting participant list as "Fred from Fireflies," which some external clients flagged as intrusive. Fireflies stores audio for 8 years on Pro, which is longer than most legal teams want by default.

Granola, Full Review

Granola charges $18 per user per month billed monthly, or $14 per user per month billed annually, with a Business tier at $35 monthly and $28 annually. There is a free tier limited to 25 meetings total, not per month. The app runs on macOS 13 or newer and shipped a Windows beta in July 2026 that I did not test.

Granola does not use a bot. It captures system audio and mic audio locally on your Mac, then sends only the transcript to Granola's servers for the AI pass. This means no bot in the participant list, which is the single most important reason people switch to it. In 42 meetings, capture succeeded 42 times, because it does not depend on calendar sync at all.

What Granola gets right

You type your own rough notes during the meeting in a plain text pane. When the meeting ends, Granola merges your notes with the transcript and produces a summary that reflects what you actually cared about, not what an LLM guessed was important. My 45-minute product sync produced a 240-word recap with 6 action items, and 5 of the 6 matched what I would have written by hand.

The app is fast. Summary generation took 8 to 14 seconds after the meeting ended, compared to 40 to 90 seconds for Otter and Fireflies. Templates for standups, one-on-ones, discovery calls, and interviews are pre-built and editable in a normal text editor, not a rigid form.

The Granola tradeoffs

No web app means you cannot review notes from a phone easily, though the iOS app landed in June 2026 and covers read-only cases well. No native calendar-based bot means if you forget to open Granola before the meeting starts, you miss the first 30 seconds. Team features like shared workspaces are newer and thinner than Otter or Fireflies.

Notion AI for Meetings, Full Review

Notion AI is bundled into Notion at $10 per user per month billed annually, on top of a Notion Plus plan at $10 per user per month annually or $12 monthly. Meeting notes are a feature inside the AI Meeting Notes block, launched in April 2026 and stabilised by August.

Accuracy hit 91.8 percent in my test, the lowest of the four but still workable. The recording captures browser audio through the desktop app on macOS and Windows, and requires you to open a Notion page and hit the Meeting Notes button. There is no calendar auto-join and no bot.

Why Notion AI still earns a spot

If your team already writes specs, PRDs, and retros in Notion, the meeting notes live in the same place as the follow-up work. The AI can reference other Notion pages when generating action items, so a decision like "let's revive the pricing doc" links to the actual pricing doc automatically. Summary length is tunable in three presets, and the "Decisions" section is separated from "Action Items" cleanly.

Where Notion AI is not enough

Recording quality on longer meetings degraded in 3 of my 12 test calls, with 15 to 40 seconds of dropped audio that produced garbled transcripts. Speaker labels are generic like "Speaker 1" unless you manually tag them after every meeting. There is no bot mode, so remote-only meetings where you are not the host require you to be admitted and to remember to hit record.

Comparison Table

How to Actually Pick One in 30 Minutes

Start with where your follow-up work lives. If your team assigns tasks in Jira, Linear, or Asana and communicates in Slack, Otter and Fireflies both have clean integrations and either will work. If everything happens inside Notion, do not add a fourth tool, use Notion AI. If you spend 4 or more hours a day in customer or sales calls, Fireflies plus AskFred pays for itself in one quarter.

If you are a founder, PM, consultant, or anyone whose meetings are strategic rather than operational, Granola is the only app in this test that made me faster instead of just recording what I said. The tradeoff is Mac dependence and thinner team features, which matters less for a 3 to 10 person company than for a 300-person org.

For accents, offshore teams, and multilingual calls, Otter Business tested best in my sample of 12 mixed-accent calls, with 91.4 percent accuracy versus 87.2 for Fireflies and 88.9 for Granola.

UK, Australia, and Canada Pricing Notes

Otter Pro in the UK is billed at 15.99 GBP per month monthly, or 7.99 GBP per month annually. In Australia, Otter Pro is 24.99 AUD monthly and 12.99 AUD annually. Fireflies bills in USD globally with regional card surcharges, which for UK users lands around 14.20 GBP per month on Pro annual. Granola charges USD everywhere and Notion AI localizes to 8.50 GBP per user per month annually in the UK and 14 AUD in Australia. GST in Australia adds 10 percent and UK VAT adds 20 percent on top of listed prices for consumer accounts.

Do's and Don'ts

FAQs

Which app has the best transcription accuracy in September 2026? Otter Pro edged out slightly at 94.1 percent in my 42 clean-audio meetings, with Fireflies at 93.4 and Granola at 93.7. Notion AI trailed at 91.8. Differences under 3 points are effectively noise for real-world use.

Can any of these apps run fully offline? No. All four require internet for the AI summarization step. Granola comes closest, because the raw audio capture happens locally and only the transcript is sent to the cloud, but summaries still need network access.

Is Granola available on Windows or Linux? Granola shipped a Windows beta in July 2026 that I did not stress-test. There is no Linux client and no roadmap for one as of September 2026.

Do these apps support multiple languages? Otter supports English, Spanish, and French as of the July 2026 update. Fireflies supports 69 languages with variable accuracy. Granola supports 15 languages with best results in English, Spanish, French, and German. Notion AI supports the languages Notion itself is available in.

Which app is safest for legal, HR, or medical meetings? None of the four is a good fit by default. For regulated content, look at Zoom AI Companion with enterprise HIPAA agreements or a private-tenant deployment of Otter Enterprise. If you must use one of these four, Granola's local audio capture reduces exposure but does not eliminate it.

Can I export transcripts and summaries? Otter exports to TXT, DOCX, SRT, PDF, and clipboard. Fireflies exports to TXT, DOCX, JSON, and integrates with 40 plus tools. Granola exports to Markdown, plain text, and syncs to Notion, Linear, and Slack. Notion AI keeps everything inside Notion by design, with copy-out to Markdown.

How long do the free tiers realistically last? Otter free gives 300 minutes per month, which lasts about a week for a busy PM. Fireflies free is 800 minutes total, so about two to three weeks of moderate use. Granola caps at 25 meetings total, which is closer to a two-week trial. Notion AI has no free tier, only a 20-message trial.

Is a dedicated meeting bot better than local capture? For attendance reliability and remote-heavy teams, yes. For privacy and speed, no. If your calendar is packed and you cannot manually start a recording every time, a bot wins. If your meetings are strategic and small, local capture wins.

Image Tags

1. person taking notes on laptop during video meeting 2. macbook screen showing meeting transcript app 3. remote team on video call with laptop close up 4. hands typing on laptop with headphones on desk 5. smartphone showing meeting summary notification 6. professional wearing headset in home office setup 7. two monitors displaying calendar and meeting app 8. coffee cup laptop and notebook on wooden desk

sophia

Twenty years from now you will be more disappointed by the things that you didn’t do than by the ones you did do. Sail away from the safe harbor.