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Granola vs Otter.ai

A plain-English comparison to help you choose between them.

01VERDICT

Both capture meetings well; the split is philosophy. Pick Granola when you want bot-free capture from device audio that enhances the notes you actually type, merging your fragments with the transcript into one personal record. Pick Otter when generous free transcription minutes and a searchable workspace of speaker-labelled transcripts matter more, with summaries pulling out decisions and actions after each call.

02AT A GLANCE

Side by side

Summary

Granola is an AI notepad for people whose day is back-to-back meetings.

Best for
  • Bot-free meeting capture from device audio
  • Enhancing your own typed notes with the full transcript
  • Back-to-back meeting days that still need a usable record
  • Chat across past meetings for decisions and commitments
  • Feeding meeting context into other AI tools via MCP and APIs
Less suited to

Granola is capture-first, not a system of record. It does not manage projects or tasks, and revenue teams wanting full conversation intelligence, coaching analytics and deal tracking are on the dedicated platforms' ground. The free Basic plan is a working window rather than an archive, since notes older than 30 days need a paid tier, and integrations beyond Slack sit behind Business.

The sharper obligation is consent. Because capture runs from device audio with no visible bot, participants get no automatic signal that a conversation is being recorded, and consent rules vary by jurisdiction, with some requiring all-party consent. Disclosure has to be your habit rather than the tool's default, and client-confidential or privileged conversations deserve explicit retention and deletion settings.

Cost
Free tier + paid plans
Ease
Beginner-friendly
Openness
Hosted service
Data
Granola is a closed, venture-backed product, and the data question starts with consent. It captures conversations from device audio without a visible bot, so participants get no automatic recording cue, disclosure is the user's obligation and some jurisdictions require all-party consent. For client-confidential or privileged material, the retention and auto-deletion controls arrive at Enterprise, alongside SSO, SCIM and admin controls. A major 2026 funding round is financing a deliberate enterprise pivot, with Spaces, personal and enterprise APIs and MCP connectors that feed meeting context into other AI tools, which means meeting data increasingly travels to wherever you connect it, so govern those connections deliberately. Public material emphasises enterprise security, consent and retention controls; check the current privacy documentation for training and subprocessor detail before rolling it out on sensitive calls.
Summary

Otter is live meeting transcription: it joins scheduled calls or listens in the room, produces speaker-labelled transcripts as the conversation happens, and turns them into summaries with decisions and actions.

Best for
  • Live transcription with speaker labels
  • Summaries with decisions and actions after each call
  • A searchable archive of everything discussed
  • In-person capture from a phone
  • Sharing notes with attendees and absentees alike
Less suited to

Otter is capture and recall, not revenue tooling: deep CRM integration and deal intelligence belong to the sales-focused recorders. It records meetings; it does not coach them.

Monthly minute caps are the real constraint: heavy calendars exhaust allowances, and consent norms for recording still need setting locally before rollout.

Cost
Free tier + paid plans
Ease
Beginner-friendly
Openness
Hosted service
Data
US-hosted with EU data-residency concerns; interviews/lectures may contain personal data, so review terms, obtain consent, and prefer enterprise tiers or EU-hosted alternatives for sensitive material. Consumer-tier training terms warrant human review of outputs.
03BY AREA

By area

Where each one pulls ahead, area by area.

AreaPick Granola whenPick Otter.ai when
Meeting notes & productivityGranola captures bot-free from device audio and enhances the notes you type rather than replacing themgenerous free transcription minutes and a searchable workspace of speaker-labelled transcripts matter more than notes-first capture
04FAQ

Common questions

Does Granola join meetings as a visible bot?

No. Granola captures from the computer's own audio, so no bot appears in the call and participants get no automatic signal that recording is happening; disclosure has to be your habit, and some jurisdictions require all-party consent. Otter joins scheduled calls or listens in the room, which makes its presence more evident. Either way, consent norms need setting locally before rollout.

How do the two pricing models differ?

Granola's free Basic plan keeps a rolling 30-day history, so it is a working window rather than an archive; older notes need a paid tier, and integrations beyond Slack sit behind Business. Otter's plans are minute-capped per month, which is the practical constraint for meeting-heavy calendars. Size Granola by how far back you need to look, and Otter by how much you actually meet.

Which is better for searching and reusing past meetings?

Both let you interrogate history. Otter turns its archive into searchable memory you can question, with speaker-labelled transcripts and slide capture keeping visuals with the words. Granola offers chat across every past meeting and feeds meeting context into tools such as Claude, ChatGPT and Cursor through MCP connectors and APIs. Neither is revenue tooling; deal intelligence belongs to the sales-focused recorders.

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Tool facts last checked July 2026

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