Granola vs Otter.ai

Where they actually differ

Both tools avoid the visible-bot problem, but they get there differently and ask something different of you while the meeting is happening. Granola captures your device’s system audio directly and asks you to type a few words of your own shorthand as the call progresses, then expands that into a fuller, more natural-sounding note using the transcript underneath. Otter also avoids a visible bot when using its browser or desktop capture mode, but its calendar-based OtterPilot still auto-joins scheduled calls as a bot by default, and its defining feature is the opposite of Granola’s workflow: a live, scrolling transcript you read rather than type into.

If you like the idea of your own shorthand becoming a polished note, Granola’s approach is distinctive and hard to replicate elsewhere. If you’d rather watch an accurate transcript build in real time and not interact with the tool during the call at all, Otter’s more passive approach fits that better.

Audio storage and the ability to double-check later

This is a real, practical difference. Granola deletes the underlying audio once it’s transcribed, keeping only the resulting text, which is a genuine privacy plus but also means there’s no way to go back and verify a questionable note against the original recording. Otter generally keeps recordings reviewable after the call, so if a summary or transcript line looks off, there’s an actual recording to check it against.

Two lawsuits, two different shapes

Both tools are currently navigating real, unresolved litigation, and it’s worth understanding how they differ rather than treating “both have a lawsuit” as the whole story. Otter’s case, In re Otter.AI Privacy Litigation, is a consolidated federal class action combining four separate lawsuits in the Northern District of California, centered on its data-training defaults and auto-join bot behavior, and it’s been working through the court system since 2025. Granola’s case, Chamberlain v. Granola, is newer, filed in July 2026, and centers specifically on whether the absence of a visible bot leaves meeting participants adequately aware they’re being recorded at all. Neither case has been decided. Otter’s is broader in scope and further along procedurally; Granola’s is more recent and narrower in its specific claim.

Pricing

Granola’s Basic plan is free with unlimited meetings, though history rolls off after 30 days on that tier, and Business runs $14/user/month with no published annual discount. Otter’s free plan caps at 300 minutes a month rather than limiting by meeting count, and its Pro tier runs about $8.33/user/month annualized, with Business at roughly $16.99/user/month for higher usage limits and admin controls.

Who each tool is actually for

Granola is the better fit for people who already jot some notes during meetings themselves and want AI to expand that shorthand into something more polished, and who are comfortable with its no-audio-storage design and current legal situation. Otter is the better fit for anyone who wants to watch a live transcript build during the call and reference a stored recording afterward, and who is comfortable weighing its data-training defaults and its own, larger pending litigation.

Verdict

Granola and Otter both avoid sending a visible bot into most calls, but they diverge sharply in workflow and in the specific legal questions each is currently facing. Granola’s note-first approach is a genuinely distinctive way to work and its bot-free design is more consistent across every call, but it stores no audio to fall back on and is navigating a newer, narrower lawsuit about recording disclosure. Otter’s live transcript and stored recordings are more traditional strengths, but its bot-based default on most calls, data-training policy, and larger, consolidated federal litigation are real, longer-running concerns of their own. Neither is a clean, uncomplicated choice; pick based on which workflow and which specific set of trade-offs you’re more comfortable living with.