Otter.ai

Otter.ai is an AI-powered meeting assistant that joins your calls, transcribes everything that is said, identifies speakers, and generates summaries with action items. It turns the unstructured chaos of meetings into searchable, shareable, actionable documentation — automatically.

What it does

Otter joins your Zoom, Google Meet, or Microsoft Teams calls (or records in-person meetings via the mobile app) and produces a real-time transcript. As the meeting progresses, you can see the transcript updating live, highlight key moments, and add comments. After the meeting, Otter generates a summary, extracts action items, and identifies key topics discussed.

How it works in practice

Setup is straightforward: connect your calendar, and Otter automatically joins your scheduled meetings. There is no manual start/stop — it detects when your meeting begins and starts transcribing. During the meeting, you can focus on the conversation instead of taking notes, knowing that everything is being captured.

After the meeting, Otter provides a structured summary with key takeaways, action items (with assignees when identified), and the full searchable transcript. You can search across all your meeting transcripts to find specific discussions, decisions, or commitments — even from months ago.

The speaker identification feature labels who said what, making transcripts easy to follow even in meetings with many participants. You can correct speaker labels to improve accuracy over time.

Where it excels

For professionals who spend a significant portion of their week in meetings, Otter is transformative. The combination of automatic joining, real-time transcription, and post-meeting summaries means you never lose important information from a conversation. The searchable archive of all your meetings becomes an institutional memory that grows more valuable over time.

The free tier is notably generous — 300 minutes of transcription per month, which covers 10-15 typical meetings. This makes it easy to evaluate and adopt without a financial commitment.

Where it falls short

Transcription accuracy, while good, is not perfect. Technical jargon, heavy accents, crosstalk, and poor audio quality all reduce accuracy. For meetings where precision matters — legal proceedings, medical consultations, compliance discussions — you should review and correct the transcript rather than relying on it as-is.

The AI-generated summaries can sometimes miss nuance or emphasise the wrong points. They are useful as a starting point but should not replace human review for important meetings. Action items are identified with reasonable accuracy but may miss implicit commitments.

The business case

The productivity calculation is simple: if Otter saves you 15 minutes of note-taking per meeting, and you have 20 meetings per month, that is 5 hours saved monthly. At the Pro plan price of $16.99/month, the ROI is immediate for any knowledge worker. The Business plan adds team features and analytics at $30/user/month.