Granola vs Otter: Notes-First or Searchable Meeting Record?

Granola and Otter can both turn a meeting into a transcript and summary, but the lasting artifact is different. Granola is a user-started, bot-free notepad that captures audio from the device and says it deletes that audio after transcription. Otter offers botless desktop capture as well as an optional Notetaker, then places the result in a conversation workspace built around transcript review, playback, sharing, and collaboration.

The practical choice is therefore not simply bot-free versus meeting bot. Choose Granola when a shaped note is the desired outcome and a retained audio recording is unnecessary. Choose Otter when colleagues need to replay, verify, comment on, or share a durable conversation record. Neither product removes the responsibility to notify participants, obtain any required consent, and govern stored transcripts.

Readers comparing the wider category can also use the AI meeting assistant and AI transcription collections, or compare other bot-free AI meeting note takers.

A stale comparison can describe Granola as bot-free and Otter as bot-only. That is no longer an adequate decision frame. Otter documents a current Mac and Windows desktop app that can capture microphone and system audio without Notetaker joining the call. Depending on its settings, the desktop app can detect supported meetings, display reminders, post a configurable recording notice in meeting chat, and start or stop recording automatically.

Otter Notetaker remains a separate option. It can join supported online meetings through calendar and meeting settings, while user and workspace controls govern how that participation works and which members may use it. Otter should therefore be evaluated as two capture paths feeding the same retained conversation workspace: botless desktop recording or a configurable meeting participant.

Granola's core approach remains notes-first. The user starts capture, no bot joins, and microphone and system audio are transcribed. Granola states that it does not retain meeting audio after transcription, while the transcript and notes remain stored until deletion or an applicable retention policy removes them. Notes are private by default and become available to others through deliberate sharing.

Capture visibility and data retention answer different questions. A bot entering a call may be noticeable, but a visible participant is not a complete consent workflow. Botless capture may feel less intrusive in the meeting interface, but it can also make deliberate disclosure more important. Both vendors place responsibility on users to follow applicable recording and notification requirements.

The more consequential difference appears after the meeting. Granola leaves a transcript and an enhanced note, but not retained meeting audio according to its security documentation. This suits interviews, one-to-one discussions, and internal calls where the participant wants to turn rough context into a concise record. It is less suitable when someone must replay the exact wording, assess delivery, or verify a disputed transcription against the original audio.

Otter's conversation is designed to remain reviewable. Its documented workflow includes synchronized playback alongside a transcript, plus editing, comments, takeaways, sharing, and exports subject to account permissions and plan. That makes it a stronger fit for a teammate who missed a meeting, a researcher checking a quotation, or a group building a shared archive. The tradeoff is a larger governance surface: teams need clear rules for eligible meetings, automatic capture, recipients, retention, exports, and deletion.

Granola is the cleaner default when the note owner is also the main consumer and does not need a media archive. Otter is the clearer default when several people will inspect or reuse the conversation. That conclusion is about workflow fit, not transcription accuracy: microphones, cross-talk, accents, specialist language, and meeting size can change error patterns for either product.

Run one approved, non-sensitive meeting through each product on separate occasions. Use comparable hardware and meeting conditions, disclose the capture in advance, and avoid simultaneous recording unless audio routing and consent have been checked.

Evaluate the full workflow rather than the generated summary alone:

1. Confirm that capture starts and stops when expected.
2. Check names, numbers, negations, specialist terms, and action items in the transcript.
3. Judge whether the final note is useful without extensive rewriting.
4. Try to verify one questionable statement; note whether audio playback is required.
5. Share the result with a test account and inspect what that person can see.
6. Test export readability, access revocation, and deletion.
7. Inspect automatic meeting detection, recording, or Notetaker settings before connecting a production calendar.

For Granola, verify the disclosure process, transcript and note retention, model-improvement settings, and whether any shared link has the intended audience. For Otter, verify desktop permissions, meeting detection, chat notices, automatic recording, Notetaker auto-join, workspace eligibility, conversation recipients, and export permissions. Company policy or consent requirements may rule out a convenient setting even when the product supports it.

Choose Granola if the meeting owner wants to type context during the call, refine a private note afterward, and avoid retaining the source audio. This is a focused workflow with fewer playback and collaboration requirements, though stored transcripts and notes still need access and retention controls.

Choose Otter if the transcript is one layer of a shared record and the team needs synchronized playback, editing, comments, exports, or a searchable history. Decide separately whether botless desktop capture or Notetaker is appropriate; do not infer auto-join behavior merely because Notetaker exists.

If the organization has not yet agreed on eligible meetings, disclosure language, retention periods, and deletion ownership, pause either rollout until those controls are defined. Bot-free capture changes the interface, not the underlying need for consent and data governance.

Granola says it does not retain meeting audio after transcription. It does retain the transcript and notes, so their retention, deletion, and sharing still require review.

Yes. Otter documents botless microphone and system-audio capture in its Mac and Windows desktop app. Notetaker and its automatic join behavior are separately configurable.

Granola fits an interview where a concise note is the primary artifact and retained audio is unnecessary. Otter fits a workflow where researchers need playback, transcript collaboration, or a shared archive. Required consent and organizational policy take precedence over convenience.

No. Bot-free describes how audio is captured. Stored transcripts, cloud processing, sharing settings, model-improvement controls, retention, and deletion still determine much of the privacy and governance risk.