The Privacy-First Alternative to Otter.ai

Otter.ai is one of the most popular meeting transcription tools. It’s polished, accurate, and integrates with the tools you already use. But it has a fundamental architectural decision that makes it unsuitable for privacy-conscious users: it uploads your meeting audio to the cloud.

Here’s what that means in practice, and what a privacy-first alternative looks like.

How Otter.ai works

Otter works by joining your meeting as a participant. When you connect it to Google Meet, Zoom, or Teams, an “Otter” account shows up in your participant list. That bot records the audio from inside the meeting and streams it to Otter’s servers for transcription.

This means:

Everyone in the meeting can see you’re recording
Your audio is processed on Otter’s infrastructure
Otter stores your transcripts and recordings on their servers
You’re trusting their security posture with your meeting content

For casual use, this is fine. But for professional environments — particularly those dealing with clients, legal matters, sensitive HR conversations, or any regulated data — this model creates real risk.

The compliance problem

Recording a meeting via a third-party cloud service means transmitting personal data — names, voices, and the content of conversations — to that service. NDA clauses often prohibit sharing confidential information with third parties, and a cloud transcription tool is, technically, a third party.

None of this means Otter.ai is illegal to use. But it does mean that for many professional use cases, compliance and security teams will say no.

The privacy-first approach

What a privacy-first alternative looks like

The privacy-respecting approach to meeting transcription is local audio processing: capture the audio on your machine, transcribe it on your machine, and never send the audio anywhere.

This is exactly what Harknotes does.

→ How Harknotes works differently

No bot joins your meeting. Harknotes captures audio at the operating system level — your microphone and system audio output as separate streams. No participant account. No visible recording indicator.

Transcription runs locally. After you stop recording, whisper.cpp — a local implementation of OpenAI’s Whisper model — transcribes the audio on your hardware. No internet required for this step.

Audio never leaves your machine. The only external request Harknotes makes is to generate the AI summary — and that sends the text transcript, not the audio.

Notes saved as Markdown. Your meeting notes land in a folder you control, in a format you own. No vendor lock-in.

The trade-offs

Otter.ai has features Harknotes doesn’t: team sharing and deep integrations with calendar and CRM tools. If those are important to you, Otter is genuinely good at them.

Harknotes is optimised for a different use case: people who want high-quality, private meeting notes, saved locally, without a bot in the room. It’s a tool for people to whom “where is my audio?” is not a trivial question.

Pricing

Otter.ai’s paid plans start at $16.99/month. Harknotes is free and open source (AGPL-3.0) — no tiers, no usage limits, no account. Transcription runs locally, and you bring the AI for summaries: a local model via Ollama, or your own API key.

Download Harknotes free →