Otter.ai Pro
An estimated five-fold multiple over transcription and summarisation, in the category where the do-it-yourself path is unusually easy to walk.
- Vendor
- Otter.ai
- Category
- Meetings
- Tier
- Pro
- Price / month
- $16.99
- Est. API cost
- $3.28
- Est. markup
- 5.2×
- Price checked
- 11 Aug 2026
- Verification
- verified
What the price actually is
$16.99/user/month billed monthly; the annual rate is advertised at roughly half that, which roughly halves the multiple shown here. A free tier with a lower monthly minute cap exists.
The usage this is priced against
400 minutes of meetings transcribed a month — about five hours of calls a week — plus 15 generated summaries with action items.
Someone using it half as much sees double the multiple. The assumption is the argument — if you disagree with it, the number below is not about you. Change it in the calculator.
The cost math, in full
Estimated monthly inference cost
Speech-to-text transcription at $0.01 per audio minute · meeting audio transcribed with speaker separation
Mid-tier frontier text model at $3.00 / 1M input tokens · 15 meeting summaries with action-item extraction
Mid-tier frontier text model at $15.00 / 1M output tokens
Rates come from a dated rate card of representative published API prices, not from the vendor. Nobody outside these companies knows what they actually pay; volume discounts and in-house serving both push real costs below these figures, which makes every multiple here a floor rather than a ceiling.
Why this verdict, not the number
Joining calendars, sitting in meetings as a bot and separating speakers reliably is more work than a weekend, and the calendar integrations are a real maintenance burden. Transcription is also the category where open models got good enough fastest: self-hosted Whisper is genuinely competitive, which makes a five-fold multiple harder to defend here than the same multiple would be elsewhere. On annual billing this moves close to fair.
What the price buys besides tokens
- Integrations
- UX craft
- Scale & infra
Calendar connections, a meeting bot that reliably joins across Zoom, Meet and Teams, speaker diarisation, and a searchable archive. The bot joining correctly every time is worth more than it sounds and breaks constantly when self-built.
What you lose if you leave
Automatic joining and recording without anyone remembering to press a button, plus the shared searchable archive your colleagues also use.
The honest cheaper path
Whisper self-hosted or via API over a local recording, then any model for summaries. Cheap and accurate. You lose the calendar automation and the bot, and you will notice.
Recompute it for yourself
Recompute this for your own usage
Scaling assumes your usage has the same shape as ours, just more or less of it. If your mix is different — far more output than input, say — the estimate drifts. It is an estimate either way.
Where every number came from
- pricingOtter.ai pricing
- rate-cardOpenAI API pricing (transcription)
- rateRate card entry: asr-standard
- rateRate card entry: frontier-mid
Price recorded 11 Aug 2026 · entry last reviewed 11 Aug 2026. Think something here is wrong? File a correction — we publish them, including the ones that embarrass us.