Otter.ai pricing

About

Otter.ai is an AI meeting assistant: it joins your Zoom, Google Meet and Microsoft Teams calls, transcribes them in real time, identifies speakers, and produces summaries with action items. Founded in 2016 by Sam Liang and Yun Fu and based in Mountain View, Otter was one of the first transcription tools to make automatic, searchable meeting notes mainstream — long before “AI notetaker” was a category.

The product has steadily climbed the value chain. The early years were about raw transcription; the 2023 launch of OtterPilot turned it into an autonomous meeting bot, and the company has since stacked on AI Chat (ask questions across all your meetings), an Otter MCP server for AI assistants, a Sales Notetaker with live coaching, and CRM sync to Salesforce and HubSpot. The competitive set now includes Fireflies.ai, Fathom, Gong, and the native notetakers Zoom, Google and Microsoft have bolted onto their own meeting products.

Otter raised an early $10M round (led by Docomo Ventures in 2020) and has since grown into one of the most widely-used standalone notetakers, reporting millions of users and billions of minutes transcribed. It remains private. For current pricing, see Otter.ai’s pricing page.

Pricing summary : How Otter.ai’s pricing model works

Otter runs a classic freemium per-seat model with four tiers — Basic (free), Pro, Business, and Enterprise — and the real lever isn’t the seat price, it’s the monthly transcription-minute cap layered on top of it.

• Basic is free forever: 300 transcription minutes/month per user, a 30-minute cap on any single conversation, live transcription, speaker ID, and 20 AI Chat queries/month.
• Pro is $16.99/user/month billed monthly, or $8.33/user/month billed annually (~51% off). It lifts you to 1,200 minutes/month, a 90-minute per-meeting cap, 10 file imports/month, unlimited storage, and 50 AI Chat queries.
• Business is $30/user/month monthly, or $19.99/user/month annually (~33% off). It removes the live-recording minute cap (imported files are still capped at 6,000 min/month), raises the per-meeting limit to 4 hours, allows 3 concurrent meeting bots, and adds admin controls (activity logs, usage analytics) and 200 AI Chat queries.
• Enterprise is custom-quoted via a sales demo and adds SSO, SCIM, Domain Capture, the Otter Sales Notetaker, API & Webhooks, and HIPAA compliance as an add-on.

What makes this different: Otter meters two dimensions at once — monthly minutes and per-meeting length — so even a user comfortably under their monthly pool can be blocked mid-call by the conversation-length cap. That dual gate, plus a generous free tier, makes the upgrade trigger feel organic: you don’t hit a paywall on day one, you hit it the first time a meeting runs long.

Pricing by product

Per-seat plans, as of June 2026:

Other tier mechanics worth noting:

• Workspace size is itself a gate: Basic and Pro cap at 5 billed users, Business at 25, Enterprise unlimited.
• File imports scale from 3 lifetime (Basic) to 10/month (Pro) to unlimited (Business/Enterprise) — but imported-file minutes draw from a shared monthly pool.
• Concurrent meetings rise from 1 (Basic) to 2 (Pro) to 3 (Business/Enterprise) — relevant if one notetaker needs to cover overlapping calls.

Sales motions across products: self-serve and PLG for Basic/Pro/Business (buy with a card on the site or via in-app purchase through the App Store / Google Play), sales-led for Enterprise (demo + custom quote). A 20% student/teacher discount applies to Pro with a .edu email — Pro Annual drops to $6.67/user/month.

Hidden costs : What Otter.ai users actually pay

The sticker price is per-seat, but the real cost drivers are the caps and add-ons that push you up a tier — or onto Enterprise.

• Minutes have no rollover. Unused minutes vanish each month, so heavy-meeting weeks can exhaust the pool early and force an upgrade rather than a smooth overage.
• The per-meeting cap bites first. A single 2-hour workshop exceeds the Pro 90-minute limit even if you’ve barely used your monthly pool — a quiet forcing function toward Business.
• HIPAA is an Enterprise add-on, not a standard feature, so regulated buyers pay the custom Enterprise rate plus the compliance layer.
• RTMP live transcription “additional fees apply,” and Salesforce/HubSpot CRM sync is user-limited (1 user on Pro, 5 on Business) — wider CRM coverage effectively means Enterprise.
• Annual lock-in is how the headline discount is funded: the $8.33 / $19.99 prices require a yearly commitment; pay monthly and you’re at $16.99 / $30.

Illustrative monthly cost for a 10-person team on Business, billed annually:

Want to estimate your own Otter.ai bill? Use the Otter.ai pricing calculator to model your costs by seat count, tier, and billing cadence.

Pricing evolution : Otter.ai pricing history and changes

Cadence

Tracked range: 2023–present. Web.archive.org access was blocked from this environment, so history is reconstructed from product announcements and the current live pricing page.

Notable changes

• 2023-02 — OtterPilot launches: an AI bot that auto-joins meetings, records, summarizes, and assigns action items — repositioning Otter above raw transcription.
• 2024 — Otter AI Chat added, with monthly query volume becoming a tiered lever (20 → 50 → 200 queries across Basic/Pro/Business).
• 2026 — Live rate card verified: Pro $16.99/mo ($8.33 annual), Business $30/mo ($19.99 annual), annual positioned as the headline price. New Otter MCP server, Sales Notetaker, and enterprise Directory Sync (SCIM) surfaced in packaging.

What’s unique : Otter.ai’s distinctive pricing mechanics

1. Dual-axis metering — minutes and meeting length. Most notetakers gate on a single dimension. Otter gates both a monthly minute pool and a per-conversation length cap, so a user can hit a wall two different ways. The 30/90/240-minute per-meeting ladder is as much an upgrade trigger as the monthly cap.

2. Annual price as the default sticker. Otter shows the annual per-month rate first ($8.33 / $19.99) with the monthly toggle hidden one click away. The 51% / 33% gap between annual and monthly is unusually large, engineering a strong pull toward yearly commitment.

3. AI usage as a packaging tier, not a meter. AI Chat queries are capped per tier (20/50/200) rather than billed per query. Otter keeps AI inside the seat price as a feature ladder, avoiding the per-token unpredictability buyers fear.

Strengths & weaknesses

Billing UX : Otter.ai billing controls and transparency

• Billing controls — Self-serve upgrade/downgrade in Settings (“Upgrade to Business”); centralized billing and user management appear at Business/Enterprise. Workspace member caps (5 / 5 / 25 / unlimited) are enforced at the plan level.
• Usage visibility — Usage analytics reports and activity logs are Business-and-up features; lower tiers see their minute pool but limited admin reporting. Minutes do not roll over, so monitoring mid-month matters.
• Payment options — Credit/debit card on the Otter website, plus in-app purchases billed through the Apple App Store and Google Play. No PayPal yet (Otter says it’s “actively considering” it). A 20% student/teacher discount applies to Pro for verified .edu emails.

Strategic wins : Why Otter.ai’s pricing decisions worked

1. A free tier wide enough to become a habit

Otter’s 300 free minutes are enough to transcribe a week of meetings, which makes the product sticky before any payment. The free tier isn’t a teaser — it’s the acquisition engine, and the paid upgrade is triggered by real usage friction rather than an artificial paywall. See usage-based pricing strategy.

2. Annual-first pricing that funds the discount with commitment

By making the annual per-month rate the headline number, Otter anchors buyers on the lower figure and converts the monthly-vs-annual gap into a commitment incentive. The result is better cash flow and lower churn without lowering perceived value. Related: how AI companies structure pricing.

3. Keeping AI predictable while competitors chase per-token

Where many AI tools meter inference per token (and risk bill shock), Otter folds AI Chat into tiered query caps inside the seat price. That predictability is a quiet competitive advantage for budget-conscious teams. See choosing the right usage metric.

Areas to improve : Gaps in Otter.ai’s pricing approach

1. No-rollover minutes create cliffs, not overages

Because unused minutes expire and there’s no metered overage, hitting the cap mid-month means an abrupt block or a forced upgrade. A small pay-as-you-go overage or rollover buffer would soften the experience. See bill shock and cost unpredictability.

2. Two caps are one too many to reason about

The combination of a monthly minute pool and a per-meeting length cap is hard to predict before you buy — users frequently ask which limit they’ll hit first. A single, clearer dimension (or an in-app “you’re on track to exceed” warning) would reduce upgrade-time confusion. See why per-user licenses are giving way to usage models.

3. Enterprise gating starts low

SSO requires a 100-user minimum, HIPAA is an add-on, and CRM sync is user-limited on Pro/Business. Mid-market buyers who need just one of those features are pushed into a full Enterprise motion earlier than the feature warrants.

Key takeaways

1. Otter is freemium per-seat with usage gates, not pure usage-based. You buy a seat tier; minutes and meeting length decide which tier you need.
2. Annual is the headline price. Pro is $8.33/mo annual vs $16.99 monthly; Business $19.99 vs $30 — a deliberate pull toward yearly commitment.
3. Two caps gate every tier. Monthly minutes (300 / 1,200 / unlimited) and per-meeting length (30 / 90 / 240 min) both force upgrades.
4. AI is a feature ladder, not a meter. AI Chat queries are tiered (20 / 50 / 200), keeping cost predictable.
5. Enterprise sells the regulated and governed use case — HIPAA, SSO, SCIM, API — as a sales-quoted layer on top of the public rate card.

UBP implications

1. Pair a value metric with a guardrail metric. Otter sells seats (the value metric) but gates with minutes and meeting length (the guardrails) — a clean template for SaaS that wants predictable seat revenue plus a usage-driven upgrade path.
2. A generous free tier can be the whole funnel if the upgrade trigger is real usage friction rather than a feature paywall. The cliff has to be felt, not announced.
3. Tier AI usage instead of metering it when buyers fear unpredictability — capping queries per tier preserves margin while keeping the bill knowable, a lesson for any team layering AI onto an existing subscription.

Sources

• Otter.ai pricing page (accessed 2026-06-15)
• Otter.ai blog — product updates: MCP, Directory Sync, Sales tools (accessed 2026-06-15)
• Otter.ai — Wikipedia (company facts, founding, OtterPilot history) (accessed 2026-06-15)

Bottom line

Otter.ai is a freemium per-seat AI notetaker that gates every tier with two usage caps — monthly transcription minutes and per-meeting length. The public rate card (Pro $16.99/mo or $8.33 annual; Business $30/mo or $19.99 annual; Basic free; Enterprise custom) is transparent and aggressively annual-first, with AI Chat tiered as a feature rather than metered. It’s a textbook example of seat-based SaaS using usage caps as the upgrade engine. Browse the pricing blueprint for more fully-researched company profiles.

Want to compare Otter.ai against other meeting-AI and productivity companies? Browse the pricing blueprint.

Pricing timeline : Major events on a vertical axis

Each milestone below corresponds to a public pricing change, product launch, or material adjustment. Major events use a filled marker; minor adjustments use a faded one.

Current rate card verified

Jun 2026

Basic free (300 min/mo); Pro $16.99/mo or $8.33 annual (1,200 min/mo, 90 min/meeting); Business $30/mo or $19.99 annual (unlimited live, 4 hr/meeting); Enterprise custom. Annual billing positioned as headline price with 33-51% savings; new Otter MCP server and Sales Notetaker surfaced in packaging.

Otter AI Chat added; tiered query limits introduced

Jan 2024

Otter layered a conversational AI Chat over meeting history and made monthly query volume a tiered lever (20 queries on Basic up to 200 on Business/Enterprise), turning AI usage into a packaging dimension alongside transcription minutes.

OtterPilot launches as an AI meeting assistant

Feb 2023

Otter introduced OtterPilot — an autonomous notetaker that joins Zoom, Google Meet and Teams to record, transcribe, summarize and assign action items. This shifted Otter from a transcription utility toward an AI assistant, justifying higher per-seat tiers and richer Business/Enterprise feature gating.