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Granola vs Otter.ai
A plain-English comparison to help you choose between them.
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.
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Side by side
- Summary
Granola is an AI notepad for people whose day is back-to-back meetings. It captures the conversation from the computer's own audio, so no bot joins the call, and instead of replacing your notes it enhances them: you type the fragments that matter and Granola merges them with the transcript into a complete, personal record.
Around that sit calendar-synced briefs before each call, action items and drafted follow-ups after, and chat across every past meeting. Spaces give teams shared folders with access controls, and MCP connectors and APIs feed meeting context into AI tools such as Claude, ChatGPT and Cursor.
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It runs on macOS, Windows, iPhone and Android with Zoom, Google Meet and Teams. The free Basic plan keeps a rolling 30-day history window, with Business and Enterprise adding unlimited history, integrations and admin controls.
- 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
- Cost
- Freemium (Free tier + paid plans)
- Ease
- 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. The archive becomes searchable memory you can question.
Its strength is the everyday reliability of that loop: capture, summarise, share, search. Phone capture covers in-person conversations, and slide capture keeps visuals with the words.
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Plans are minute-capped per month, which is the practical constraint: meeting-heavy teams hit the ceilings and should size the tier against their real calendar.
- 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
- Cost
- Freemium (Free tier + paid plans)
- Ease
- 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.
Pricing
- Granola
Free$14/user·from $35/user
Prices as of August 2026.
- Basic
- Free
- Business
- $14per user, per monthbilled monthly
- Enterprise
- from $35per user, per monthbilled monthly
- Otter.ai
Free$8.33/user·$19.99/user·Custom
Prices as of August 2026.
- Basic
- Free
- Pro
- $8.33per user, per monthbilled annually; $16.99 per user per month if billed monthly
- Business
- $19.99per user, per monthbilled annually; $30 per user per month if billed monthly
- Enterprise
- Price on applicationno list price published
By area
Where each one pulls ahead, area by area.
| Area | Granola | Otter.ai |
|---|---|---|
| By task | ||
| Meeting notes & productivity | Granola captures bot-free from device audio and enhances the notes you type rather than replacing them | Otter made meeting notes something nobody has to take: the assistant joins the call, transcribes live with speaker labels, and answers questions across a searchable archive at a price an individual can justify without procurement |
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 August 2026