Nod vs Otter.ai

At a glance

Competitor details reflect how Otter is commonly documented — verify current specifics on Otter's own pages. The Nod row is first-party.

• Bot in the call — Nod: never, in any mode · Otter: bot-free desktop mode, but also auto-join assistant behaviour from your calendar.
• Stored audio — Nod: none, held in memory ~5s then discarded · Otter: recordings and transcripts kept in the cloud by default; Enterprise workspaces can remove audio from all past and future conversations.
• Where data lives — Nod: EU (AWS eu-west-1, Ireland), AES-256, per-user Row-Level Security · Otter: US (verify).
• Model training — Nod: none, Zero Data Retention upstream · Otter: check their current policy.
• Platforms — Nod: macOS only · Otter: web, Windows, macOS, iOS, Android. Otter wins outright here.
• Languages — Nod: 14, notes returned in the meeting's language · Otter: a longer list (verify).
• Cross-meeting recall — Nod: "Ask Nod" semantic search over your whole history · Otter: search within its workspace.
• During the call — Nod: live answers and cards while you're still talking · Otter: primarily a post-meeting recap.
• Your own AI — Nod: read-only ChatGPT and Claude connections scoped to your account · Otter: not offered in that form (verify).
• Price — Nod: 14-day trial, no card, then $12–$20/mo billed annually · Otter: free tier plus paid plans.

The real dividing line: what survives the meeting

Otter's default model is that the meeting becomes an asset — a recording, a transcript, a searchable library in an account. That's genuinely useful, and it's why teams standardise on it. Enterprise workspaces can remove audio from all historical and future conversations, so retention depends on the workspace setting and plan.

Nod's model is that the audio was never the point. Capture is local on your Mac; transcription isn't. Each audio segment is sent through a European proxy to hosted transcription, and Nod discards it when the text returns. No model trains on the data. Groq may retain transient error or abuse logs for up to 30 days unless Zero Data Retention is enabled. Only the transcript and summary are saved by Nod, encrypted at rest in the EU (AWS eu-west-1). See the security page.

Neither is universally right. If you need to re-listen to the exact words months later, Otter's retention is a feature and Nod cannot give it to you. If a retained recording of a candid client call is a liability, Nod removes the liability entirely.

Built for one, not for a workspace

Otter is designed around shared workspaces, seats, and admin controls. Nod assumes there's no admin: you sign in with a personal Gmail, there's no Workspace plan to be on, no seat to be assigned, and no IT ticket between you and your first recap. If you choose and pay for your own tools, that's the difference you'll feel on day one.

The flip side is honest too: Nod has no org-wide library and no admin console, by design. You can share a folder or a single meeting with a team (see team context), but if admin-controlled intelligence across seats is the requirement, Otter ships that and Nod doesn't.

Who should pick which

Choose Nod if you're on a Mac, you want nothing joining your calls, no stored audio, EU hosting you can point at, and recall across every conversation. Its public AI connectors remain pending directory approval.

Choose Otter if you need Windows, mobile, or a permanently free tier, you want its recording library, need the Enterprise remove-audio control, or are rolling a shared workspace out across a team.

Weighing the whole field instead? The Otter.ai alternatives roundup covers Granola, Jamie, Krisp, and Tactiq alongside Nod.

Frequently asked questions