Granola vs Otter.ai
Both are AI Productivity tools — here's how Granola and Otter.ai stack up on pricing, strengths, and fit, so you can pick the right one.
Key differences
On price, Granola starts at $18/mo (paid) while Otter.ai starts at $8.33/mo (freemium). Granola leans toward founders, whereas Otter.ai is a better fit for heavy meeting volume. Both compete in AI Productivity, so the choice usually comes down to budget and which workflow each one slots into. Read the full reviews below for the detail behind each.
A bot named OtterBot has interrupted more first sales calls than any rep wants to admit — the prospect pauses mid-pitch to ask who just joined. That one design choice, a visible bot versus a silent listener, decides this comparison more than any feature list does.
Otter.ai joins your call as a named bot, transcribes in real time, runs on Windows and Mac, and includes a free tier capped at 300 minutes a month. Granola skips the bot entirely: it listens to system audio on your Mac while you type your own notes, then fills in what you missed. Otter is the safer default for most teams; Granola is the sharper fit once you already take notes and want the bot gone.
TL;DR
- Otter.ai wins for Windows shops, teams testing before they pay, and anyone who wants a searchable transcript archive across the whole team.
- Granola wins for people who already scribble their own notes and want AI to complete them, not replace them, with nothing visible sitting in the call.
- Granola runs on macOS only as of this writing. No Windows build exists, which rules it out for mixed-OS teams before any feature comparison starts.
- Otter's own pricing page lists a free tier at 300 minutes/month and an entry paid plan around $8.33/month billed annually for 1,200 minutes (verify current pricing). Granola's pricing page lists its Pro tier around $18/month, with no free tier.
- Sales teams worried about a bot's optics on a first call get more from Granola's silent capture than from anything Otter has added to soften OtterBot's presence.
Is Granola better than Otter.ai for meeting notes?
For Mac-based teams where someone is already typing during the call: usually, yes. Granola's after-the-fact enhancement produces notes that read like a sharp human wrote them, not like an AI summarized a transcript. For teams on Windows, teams that want a free tier to test before committing, or teams that need a shared archive across everyone's meetings: no. Otter's cross-platform reach and free tier cover more ground, and its team workspace search is built for exactly that archive use case.
What each tool actually does
Otter.ai is the older of the two products and runs on a transcription-first model. OtterBot joins your Zoom, Google Meet, or Microsoft Teams call as a named participant, records the audio, and produces a live transcript with speaker labels once it has heard a few minutes of each voice. OtterPilot extends that by auto-joining meetings straight off your calendar, so nobody has to remember to invite the bot. Otter Chat lets you ask questions across saved transcripts; user reports on how well it reasons across multiple meetings, rather than just searching for a keyword, are mixed. Setup takes minutes.
Granola takes the opposite approach. It runs quietly on macOS, listening to system audio while you type rough notes exactly like you always have. After the call ends, it enhances what you wrote: completing half-finished bullets, pulling in an exact quote where you referenced something specific, and structuring the result into action items with owners attached. No bot ever appears in the meeting. The tradeoff is direct: Granola only adds value if you were already going to take notes.
Where they actually diverge
The gap that matters most is visibility. Otter's bot sits in the call as a named participant, which some prospects and partners notice and ask about, particularly on a first sales call or a sensitive internal discussion. Granola's silent, system-audio capture avoids that conversation entirely, because nothing announces itself.
Platform support is the second divergence. Otter runs on Windows, Mac, and mobile; Granola runs on macOS only, full stop. A mixed-OS team can't standardize on Granola company-wide; part of the team simply can't install it.
Note-taking habits create the third. Otter derives its entire output from the transcript, so a meeting where nobody typed a word still produces a usable summary. Granola enhances existing notes, and skipping the note-taking leaves it less to enhance. Passive listeners get more out of Otter by design.
When Otter.ai wins
Your team runs Windows, or a mix of operating systems. Granola isn't an option here; it doesn't run on Windows at all as of this writing. Otter's cross-platform support means one tool works for the whole team regardless of laptop.
You want to test before paying. Otter's free tier covers 300 transcription minutes a month, enough to run it against a real week of meetings before a card gets charged. Granola has no comparable free tier.
Institutional memory across a team matters more than one person's note quality. Otter's shared workspace search lets anyone pull up any past transcript. For compliance-driven recording needs, or teams that treat meeting history as a shared record, that's the more useful primitive than one person's enhanced notes.
When Granola wins
Someone on the call is already taking notes. Granola's entire value proposition depends on this. If a rep or founder already types rough notes during calls, Granola's after-the-fact enhancement is close to pure upside, at a price that reflects it.
The optics of a bot matter. First sales calls, partner negotiations, and any conversation where a new contact might ask who OtterBot is benefit from Granola's silent capture. That friction disappears when nothing announces itself in the call.
Your workflow needs to feed a CRM or a doc tool, not just an archive. Granola's Notion, Slack, and CRM integrations pipe action items and summaries straight into the tools a founder or account manager already runs their pipeline from. Structuring by topic and owner is closer to CRM-ready out of the box.
Pricing in practice
Otter's pricing page lists a free tier at 300 minutes/month and a paid entry tier around $8.33/month billed annually for 1,200 minutes; Business plans add team administration on top. Granola has no free tier: its Pro plan lists around $18/month for an individual, with team plans adding shared workspaces and admin controls. Both vendors adjust pricing and included minutes on their own schedule, so check each product's current pricing page against your actual monthly meeting volume before budgeting. A team running 20 calls a week burns through Otter's free 300 minutes in a day or two.
Our verdict
For Windows shops, teams evaluating on a free trial, or anyone who needs a searchable transcript archive across the org: start with Otter.ai. The free tier alone answers most of the 'worth paying for' question inside a week.
For Mac-based founders, sales reps, and account managers who already take their own notes and want the bot gone from the call: Granola is worth the higher, no-free-tier price. Check the macOS restriction first. If anyone on the team runs Windows, that alone settles it.
Otter's honest limitation: the bot's presence creates real friction on the calls where it matters most, and its cross-meeting Q&A doesn't yet match the reliability of its core transcription. Granola's honest limitation: skip note-taking during the call and there's nothing for it to enhance, so a passive listener gets less value than a transcript-first tool by design. Check which OS constraint applies to your team, then trial the winner on your next five calls before committing a budget line to either.